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© 2010 Brooks/Cole, Cengage Learning
C H A P T E R 9 Infinite Series
Section 9.1 Sequences............................................................................................258
Section 9.2 Series and Convergence .....................................................................272
Section 9.3 The Integral Test and p-Series ...........................................................287
Section 9.4 Comparisons of Series........................................................................299
Section 9.5 Alternating Series ...............................................................................306
Section 9.6 The Ratio and Root Tests...................................................................315
Section 9.7 Taylor Polynomials and Approximations .........................................328
Section 9.8 Power Series .......................................................................................339
Section 9.9 Representation of Functions by Power Series...................................352
Section 9.10 Taylor and Maclaurin Series ..............................................................360
Review Exercises .......................................................................................................377
Problem Solving .........................................................................................................390
258 © 2010 Brooks/Cole, Cengage Learning
C H A P T E R 9 Infinite Series
Section 9.1 Sequences
1.
1
22
33
44
55
3
3 3
3 9
3 27
3 81
3 243
nna
a
a
a
a
a
1
=
= =
= =
= =
= =
= =
2.
1
2
2
3
3
4
4
5
5
3!
3 31!3 92! 23 27 93! 6 23 81 274! 24 83 243 815! 120 40
n
nan
a
a
a
a
a
=
= =
= =
= = =
= = =
= = =
3. ( )
( )( )( )( )
1
22
33
44
55
14
14
1 14 16
1 14 64
1 14 256
1 14 1024
nna
a
a
a
a
a
= −
= −
= − =
= − = −
= − =
= − = −
4. ( )1
2
3
4
5
23
23
49
827
1681
32243
nna
a
a
a
a
a
= −
= −
=
= −
=
= −
5.
1
2
3
4
5
sin2
sin 12
sin 03sin 12
sin 2 05sin 12
nna
a
a
a
a
a
π
π
ππ
ππ
=
= =
= =
= = −
= =
= =
6.
1
2
3
4
5
23
2 14 2456 168710 58 4
nna
n
a
a
a
a
a
=+
= =
=
= =
=
= =
7.
( )
( )
( )
( )
( )
( )
( 1) 2
2
1
1 2
3
2 2
6
3 2
10
4 2
15
5 2
1
11
1
1 12 4
1 13 9
1 14 16
1 15 25
n n
nan
a
a
a
a
a
+−=
−= = −
−= = −
−= =
−= =
−= = −
Section 9.1 Sequences 259
© 2010 Brooks/Cole, Cengage Learning
8.
( ) 1
1
2
3
4
5
21
2 21
2 12
23
2 14 2
25
nna
n
a
a
a
a
a
+ ⎛ ⎞= − ⎜ ⎟⎝ ⎠
= =
= − = −
=
= − = −
=
9. 2
1
2
3
4
5
1 15
5 1 1 51 1 1952 4 41 1 4353 9 91 1 7754 16 161 1 12155 25 25
nan n
a
a
a
a
a
= − +
= − + =
= − + =
= − + =
= − + =
= − + =
10. 2
1
2
3
4
5
2 610
10 2 6 183 2510 12 2
2 2 34103 3 31 3 87102 8 82 6 266105 25 25
nan n
a
a
a
a
a
= + +
= + + =
= + + =
= + + =
= + + =
= + + =
11.
( )( )( )( )( )( )( )( )( )
1 1
2 1
3 2
4 3
5 4
3, 2 1
2 1
2 3 1 4
2 1
2 4 1 6
2 1
2 6 1 10
2 1
2 10 1 18
k ka a a
a a
a a
a a
a a
+= = −
= −
= − =
= −
= − =
= −
= − =
= −
= − =
12. 1 1
2 1
3 2
4 3
5 4
14,2
1 1 42
2 1 62
3 1 122
4 1 302
k kka a a
a a
a a
a a
a a
++⎛ ⎞= = ⎜ ⎟
⎝ ⎠+⎛ ⎞= =⎜ ⎟
⎝ ⎠+⎛ ⎞= =⎜ ⎟
⎝ ⎠+⎛ ⎞= =⎜ ⎟
⎝ ⎠+⎛ ⎞= =⎜ ⎟
⎝ ⎠
13.
( )( )( )( )
1 1
2 1
3 2
4 3
5 4
12
1 12 21 12 21 12 21 12 2
32,
32 16
16 8
8 4
4 2
k ka a a
a a
a a
a a
a a
+= =
= = =
= = =
= = =
= = =
14.
( )( )( )( )
21 1
2 22 1
2 23 2
2 24 3
225 4
13
1 13 3
1 13 3
1 13 3
1 13 3
6,
6 12
12 48
48 768
768 196,608
k ka a a
a a
a a
a a
a a
+= =
= = =
= = =
= = =
= = =
15. 1 210 10 10, 5,
1 1 1 3na a an
= = = =+ +
Matches (c)
16. 1 210 10 20, 5,
1 2 3nna a a
n= = = =
+
Matches (a)
17. ( ) 1 2 31 , 1, 1, 1,nna a a a= − = − = = − …
Matches (d)
18. ( )1 2
1 1 1, 1, .1 2
n
na a an− −
= = = − =
Matches (b)
19. 22, 0, , 1,3
− … matches (b)
1 2 3
42
4 4 4 22 2, 2 0, 2 ,1 2 3 3
nan
a a a
= −
= − = − = − = = − = …
260 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
20. 16, 8, 4, 2,− − … matches (c)
( )
( ) ( )
1
1 1 2 11 2
16 0.5
16 0.5 16, 16 0.5 8,
nna
a a
−
− −
= −
= − = = − = − …
21. 82 43 3 3, , 2, ,…matches (a)
1 2 3
23
62 43 3 3, , 2,
na n
a a a
=
= = = = …
22. 4 3 81, , , ,3 2 5
…matches (d)
1 2 3
21
2 4 6 31, , ,2 3 4 2
nna
n
a a a
=+
= = = = = …
23.
( )( )
5
6
3 1
3 5 1 14
3 6 1 17
na n
a
a
= −
= − =
= − =
Add 3 to preceding term.
24.
5
6
62
5 6 112 2
6 6 62
nna
a
a
+=
+= =
+= =
Add 12
to preceding term.
25.
( )( )
1 1
5
6
2 , 5
2 40 80
2 80 160
n na a a
a
a
+ = =
= =
= =
Multiply the preceding term by 2.
26. 1 1
5 6
12
1 116 32
, 1
,
n na a a
a a
−= − =
= = −
Multiply the preceding term by 12.−
27. ( )
( )
( )
1
5 4
6 5
32
3 3162
3 3322
n na
a
a
−=−
= =−
= = −−
Multiply the preceding term by 1.2
−
28. 1 1
5 6
32
81 24316 32
, 1
,
n na a a
a a
−= − =
= = −
Multiply the preceding term by 32.−
29. ( )( ) ( )( )11 10 9 8!11! 11 10 9 9908! 8!
= = =
30. ( )( )( )( )( )
( )( )( )( )
25 24 23 22 21 20 !25!20! 20!
25 24 23 22 21 6,375,600
=
= =
31. ( ) ( )1 ! ! 11
! !n n n
nn n+ +
= = +
32. ( ) ( )( ) ( )( )2 ! ! 1 21 2
! !n n n n
n nn n+ + +
= = + +
33. ( )( )
( )( ) ( )( ) ( )
2 1 ! 2 1 ! 12 1 ! 2 1 ! 2 2 1 2 2 1
n nn n n n n n− −
= =+ − + +
34. ( )( )
( ) ( )( )( )
( )( )
2 2 ! 2 ! 2 1 2 22 ! 2 !
2 1 2 2
n n n nn n
n n
+ + +=
= + +
35. 2
25lim 5
2n
nn→∞
=+
36. 21lim 5 5 0 5
n n→∞
⎛ ⎞− = − =⎜ ⎟⎝ ⎠
37. ( )2 2
2 2 2lim lim 211 1 1n n
nn n→∞ →∞
= = =+ +
38. ( )2 2
5 5 5lim lim 514 1 4n n
nn n→∞ →∞
= = =+ +
39. 1lim sin 0n n→∞
⎛ ⎞ =⎜ ⎟⎝ ⎠
40. 2lim cos 1n n→∞
⎛ ⎞ =⎜ ⎟⎝ ⎠
41.
The graph seems to indicate that the sequence converges to 1. Analytically,
1 1lim lim lim lim 1 1.nn n x x
n xan x→∞ →∞ →∞ →∞
+ += = = =
−1
12−1
3
Section 9.1 Sequences 261
© 2010 Brooks/Cole, Cengage Learning
42.
The graph seems to indicate that the sequence converges to 0. Analytically,
3 2 3 21 1lim lim lim 0.n
n n xa
n x→∞ →∞ →∞= = =
43.
The graph seems to indicate that the sequence diverges. Analytically, the sequence is
{ } { }0, 1, 0, 1, 0, 1, .na = − − …
So, lim nn
a→∞
does not exist.
44.
The graph seems to indicate that the sequence converges to 3. Analytically,
1lim lim 3 3 0 3.2n nn n
a→∞ →∞
⎛ ⎞= − = − =⎜ ⎟⎝ ⎠
45. ( )lim 0.3 1 0 1 1,n
n→∞⎡ ⎤− = − = −⎣ ⎦ converges
46. 3lim 4 4 0 4,n n→∞
⎡ ⎤− = − =⎢ ⎥⎣ ⎦converges
47. 5lim 0,2n n→∞=
+converges
48. 2lim 0,!n n→∞= converges
49. ( )lim 11
n
n
nn→∞
⎛ ⎞− ⎜ ⎟+⎝ ⎠
does not exist (oscillates between 1− and 1), diverges.
50. ( )lim 1 1 n
n→∞⎡ ⎤+ −⎣ ⎦
does not exist, (alternates between 0 and 2), diverges.
51. 2
23 4 3lim ,
2 1 2n
n nn→∞
− +=
+converges
52. 3
3lim 1,
1n
nn→∞
=+
converges
53. ( )( )
1 3 5 2 1
2
1 3 5 2 1 12 2 2 2 2
n n
na
n
nn n n n n
⋅ ⋅ ⋅ ⋅ ⋅ −=
−= ⋅ ⋅ ⋅ ⋅ ⋅ <
So, lim 0,nn
a→∞
= converges.
54. The sequence diverges. To prove this analytically, you use mathematical induction to show that
13 .2
n
na−
⎛ ⎞≥ ⎜ ⎟⎝ ⎠
Clearly, 0
131 1.2
a ⎛ ⎞= ≥ =⎜ ⎟⎝ ⎠
Assume that
13 .2
k
ka−
⎛ ⎞≥ ⎜ ⎟⎝ ⎠
Then,
( )( )( )1
1
1 3 5 2 1 2 11 !
2 1 3 2 1 .1 2 1
k
k
k
k ka
k
k kak k
+
−
⋅ ⋅ − +=
+
+ +⎛ ⎞ ⎛ ⎞= ≥ ⎜ ⎟ ⎜ ⎟+ +⎝ ⎠ ⎝ ⎠
Because
2 1 3,1 2
kk
+≥
+
you have 13 ,2
k
ka +⎛ ⎞≥ ⎜ ⎟⎝ ⎠
which shows that
132
n
na−
⎛ ⎞≥ ⎜ ⎟⎝ ⎠
for all n.
55. ( )1 1lim 0,
n
n n→∞
+ −= converges
56. ( )2
1 1lim 0,
n
n n→∞
+ −= converges
57. ( ) ( )3ln ln3lim lim2 2
3 1lim 0, converges2
n n
n
n nn n
n
→∞ →∞
→∞
=
⎛ ⎞= =⎜ ⎟⎝ ⎠
(L'Hôpital's Rule)
58. ( )1 2 lnlnlim lim
1lim 0, converges2
n n
n
nnn n
n
→∞ →∞
→∞
=
= =
(L'Hôpital's Rule)
−1 12
−1
2
12−1
−2
2
−1 12
−1
4
262 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
59. ( )34lim 0,
n
n→∞= converges
60. ( )lim 0.5 0,n
n→∞= converges
61. ( ) ( )1 !lim lim 1 , diverges
!n n
nn
n→∞ →∞
+= + = ∞
62. ( )( )
2 ! 1lim lim 0,! 1n n
nn n n→∞ →∞
−= =
−converges
63. ( )( )
2 2
2
11lim lim1 1
1 2lim 0, converges
n n
n
n nn nn n n n
nn n
→∞ →∞
→∞
− −−⎛ ⎞− =⎜ ⎟− −⎝ ⎠
−= =
−
64. 2 2 2
22 1lim lim ,
2 1 2 1 4 1 2n n
n n nn n n→∞ →∞
⎛ ⎞ −− = = −⎜ ⎟+ − −⎝ ⎠
converges
65. lim 0,p
nn
ne→∞
= converges
( )0, 2p n> ≥
66. 1sinna nn
=
Let ( ) 1sin .f x xx
=
( )
( ) ( )2
2
sin 11lim sin lim1
1 cos 1lim
11lim cos cos 0
1 (L'Hôpital's Rule)
x x
x
x
xx
x x
x xx
x
→∞ →∞
→∞
→∞
=
−=
−
= =
=
or,
( ) ( )0
sin 1 sinlim lim 1.
1x y
x yx y+→∞ →
= = Therefore
1lim sin 1,n
nn→∞= converges.
67. 1 0lim 2 2 1,nn→∞
= = converges
68. 1lim 3 lim 0,3
nnn n
−
→∞ →∞
−− = = converges
69.
( )10
1
lim 1 lim 1
n
n
n ku kn u
kan
k u en→∞ →
⎛ ⎞= +⎜ ⎟⎝ ⎠
⎛ ⎞ ⎡ ⎤+ = + =⎜ ⎟ ⎣ ⎦⎝ ⎠
where ,u k n= converges
70.
12
2 2
1
1 11 1
lim 1, converges
nn n
n
nn
n
an n
a e→∞
⎡ ⎤⎛ ⎞ ⎛ ⎞⎢ ⎥= + = +⎜ ⎟ ⎜ ⎟⎢ ⎥⎝ ⎠ ⎝ ⎠⎣ ⎦
= =
71. ( )sin 1lim lim sin 0,n n
n nn n→∞ →∞
= =
converges (because ( )sin n is bounded)
72. 2coslim 0,
n
nnπ
→∞= converges
73. 3 2na n= −
74. 4 1na n= −
75. 2 2na n= −
76. ( ) 1
2
1 n
nan
−−=
77. 12n
nan+
=+
78. ( ) 1
2
12
n
n na−
−
−=
79. 1 11nna
n n+
= + =
80.
1
2 112
2 12
n
n n
n
n
a
+
−= +
−=
81. ( )( )1 2n
nan n
=+ +
82. 1!na
n=
83. ( )( )
( )( )
1
1
11 3 5 2 1
1 2 !2 !
n
n
n n
an
nn
−
−
−=
⋅ ⋅ −
−=
84. ( )
1
1 !
n
nxa
n
−
=−
85. ( )2 !, 1, 2, 3,na n n= = …
86. ( )2 1 !, 1, 2, 3,na n n= − = …
Section 9.1 Sequences 263
© 2010 Brooks/Cole, Cengage Learning
87. 11 14 4 ,
1n na an n += − < − =
+
Monotonic; 4,na < bounded
88. Let ( ) 3 .2
xf xx
=+
Then ( )( )2
6 .2
f xx
′ =+
So, f is increasing which implies { }na is increasing.
3,na < bounded
89. ( )
( )
?
2 1 2
?3 2
?
12 2
2 2 1
2 11
n n
n n
n n
n n
n nn
+ + +
+ +
+≥
≥ +
≥ +
≥
So,
( )
( )
3 2
2 1 2
1
12 1
2 2 1
12 2
.
n n
n n
n n
nn n
n n
n n
a a
+ +
+ + +
+
≥
≥ +
≥ +
+≥
≥
Monotonic; 1,8na ≤ bounded
90. 2
1
2
3
0.60650.73580.6694
nna ne
aaa
−=
=
=
=
Not monotonic; 0.7358,na ≤ bounded
91. ( )
1
2
3
11
112
13
nna
na
a
a
⎛ ⎞= − ⎜ ⎟⎝ ⎠
= −
=
= −
Not monotonic; 1,na ≤ bounded
92. ( )1
2
3
23
23
49
827
nna
a
a
a
= −
= −
=
= −
Not monotonic; 2,3na ≤ bounded
93. ( ) ( ) 11
2 23 3
n nn na a
++= > =
Monotonic; 23,na ≤ bounded
94. ( ) ( ) 11
3 32 2
n nn na a
++= < =
Monotonic; lim ,nn
a→∞
= ∞ not bounded
95.
1
2
3
4
sin6
0.5000.86601.0000.8660
nna
aaaa
π⎛ ⎞= ⎜ ⎟⎝ ⎠
=
=
=
=
Not monotonic; 1,na ≤ bounded
96.
1
2
3
cos2
cos 02
cos 1
3cos 02
nna
a
a
a
π
π
π
π
⎛ ⎞= ⎜ ⎟⎝ ⎠
= =
= = −
⎛ ⎞= =⎜ ⎟⎝ ⎠
Not monotonic; 1,na ≤ bounded
97.
1
2
3
4
cos
0.54030.20810.32300.1634
nna
naaaa
=
=
= −
= −
= −
Not monotonic; 1,na ≤ bounded
98.
( ) ( )
( ) ( )
( ) ( )
1 4
2 5
3 6
sin
sin 1 sin 40.8415 0.1892
1 4sin 2 sin 5
0.4546 0.19182 5
sin 3 sin 60.0470 0.0466
3 6
nna
n
a a
a a
a a
=
= ≈ = ≈ −
= ≈ = ≈ −
= ≈ = ≈ −
Not monotonic; 1,na ≤ bounded
264 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
99. (a)
{ }
15
15 6 , bounded
n
n
an
an
= +
+ ≤ ⇒
{ }1
1 15 51
, monotonic
n
n n
an n
a a+
= + > ++
= ⇒
Therefore, { }na converges.
(b)
1lim 5 5n n→∞
⎛ ⎞+ =⎜ ⎟⎝ ⎠
100. (a)
{ }
34
34 4 , bounded
n
n
an
an
= −
− < ⇒
{ }13 44 3 , monotonic
1n n na a an n += − < − = ⇒
+
Therefore, { }na converges.
(b)
3lim 4 4n n→∞
⎛ ⎞− =⎜ ⎟⎝ ⎠
101. (a)
{ }
1 113 3
1 1 11 , bounded3 3 3
n n
nn
a
a
⎛ ⎞= −⎜ ⎟⎝ ⎠
⎛ ⎞− < ⇒⎜ ⎟⎝ ⎠
{ }
1
1
1 1 1 11 13 3 3 3
, monotonic
n n n
n n
a
a a
+
+
⎛ ⎞ ⎛ ⎞= − < −⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠
= ⇒
Therefore, { }na converges.
(b)
1 1 1lim 13 3 3nn→∞
⎡ ⎤⎛ ⎞− =⎜ ⎟⎢ ⎥⎝ ⎠⎣ ⎦
102. (a)
{ }
142
14 4.5 , bounded2
n n
nn
a
a
= +
+ ≤ ⇒
{ }
1
1
1 14 42 2
, monotonic
n n n
n n
a
a a
+
+
= + > +
= ⇒
Therefore, { }na converges.
(b)
1lim 4 42nn→∞
⎛ ⎞+ =⎜ ⎟⎝ ⎠
103. { }na has a limit because it is a bounded, monotonic
sequence. The limit is less than or equal to 4, and greater than or equal to 2.
2 lim 4nn
a→∞
≤ ≤
104. The sequence { }na could converge or diverge. If { }na is
increasing, then it converges to a limit less than or equal to 1. If { }na is decreasing, then it could converge
( )example: 1na n= or diverge ( )example: .na n= −
105. 112
n
nrA P⎛ ⎞= +⎜ ⎟
⎝ ⎠
(a) Because 0P > and 1 1,12r⎛ ⎞+ >⎜ ⎟
⎝ ⎠the sequence
diverges. lim nn
A→∞
= ∞
(b) 0.05510,000, 0.055, 10,000 112
n
nP r A ⎛ ⎞= = = +⎜ ⎟⎝ ⎠
0
1
2
3
4
5
6
7
8
9
10
10,00010,045.8310,091.8810,138.1310,184.6010,231.2810,278.1710,325.2810,372.6010,420.1410,467.90
AAAAAAAAAAA
=
=
=
=
=
=
=
=
=
=
=
−1
−1
12
7
−10
12
8
−1
−0.1
12
0.4
−1 12
−1
6
Section 9.1 Sequences 265
© 2010 Brooks/Cole, Cengage Learning
106. (a) ( )( )0
1
2
3
4
5
6
100 401 1.0025 1
0100.25200.75301.50402.51503.76605.27
nnA
AAAAAAA
= −
=
=
=
=
=
=
=
(b) 60 6480.83A =
(c) 240 32,912.28A =
107. No, it is not possible. See the "Definition of the Limit of a sequence". The number L is unique.
108. (a) A sequence is a function whose domain is the set of positive integers. (b) A sequence converges if it has a limit. See the
definition. (c) A sequence is monotonic if its terms are
nondecreasing, or nonincreasing. (d) A sequence is bounded if it is bounded below
( )for somena N N≥ and bounded above
( )for some .na M M≤
109. The graph on the left represents a sequence with alternating signs because the terms alternate from being above the x-axis to being below the x-axis.
110. (a) 110nan
= −
(b) Impossible. The sequence converges by Theorem 9.5.
(c) 34 1n
nan
=+
(d) Impossible. An unbounded sequence diverges.
111. (a) ( )0.8 4,500,000,000nnA =
(b) 1
2
3
4
$3,600,000,000$2,880,000,000$2,304,000,000$1,843,200,000
AAAA
=
=
=
=
(c) ( ) ( )lim lim 0.8 4.5 0,nn
n nA
→∞ →∞= = converges
112. ( )1
2
3
4
5
25,000 1.045
$26,125.00$27,300.63$28,529.15$29,812.97$31,154.55
nnP
PPPPP
=
=
=
=
=
=
113. (a) 25.364 608.04 4998.3na n n= − + +
(b) For 122012, 12: $11,522.4 billionn a= ≈
114. (a) 1127.4 17684na n= +
(b) For 222012, 22: $42,487n a= ≈
115. 10!
n
nan
=
(a) 9
9 1010 1,000,000,000 1,562,5009! 362,880 567
a a= = = =
(b) Decreasing (c) Factorials increase more rapidly than exponentials.
116.
1
2
3
4
5
6
11
2.00002.25002.37042.44142.48832.5216
1lim 1
n
n
n
n
an
aaaaaa
en→∞
⎛ ⎞= +⎜ ⎟⎝ ⎠
=
=
≈
≈
≈
≈
⎛ ⎞+ =⎜ ⎟⎝ ⎠
117. 1n nna n n= =
1 11
2
33
44
55
66
1 1
2 1.4142
3 1.4422
4 1.4142
5 1.3797
6 1.3480
a
a
a
a
a
a
= =
= ≈
= ≈
= ≈
= ≈
= ≈
Let 1lim .nn
y n→∞
=
1 ln 1ln lim ln lim lim 0n n n
n ny nn n n→∞ →∞ →∞
⎛ ⎞= = = =⎜ ⎟⎝ ⎠
Because ln 0,y = you have 0 1.y e= = Therefore,
lim 1.n
nn
→∞=
04000
8
10,000
50
17
50,000
266 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
118. Because lim 0,n
ns L
→∞= >
there exists for each 0,ε >
an integer N such that ns L ε− < for every .n N>
Let 0Lε = > and you have,
, ,n ns L L L s L L− < − < − < or 0 2ns L< < for
each .n N>
119. True
120. True
121. True
122. True
123. True
124. False. Let ( )1 nna = − and ( ) 11 n
nb += − then { }na and
{ }nb diverge. But { } ( ) ( ){ }11 1n nn na b ++ = − + −
converges to 0.
125. 2 1n n na a a+ += +
(a)
1 7
2 8
3 9
4 10
5 11
6 12
1 8 5 131 13 8 211 1 2 21 13 342 1 3 34 21 553 2 5 55 34 895 3 8 89 55 144
a aa aa aa aa aa a
= = + =
= = + =
= + = = + =
= + = = + =
= + = = + =
= + = = + =
(b)
1
61
72
3 8
4 9
5 10
, 1
131 1.625181212 1.61542131
3 341.5 1.61902 215 551.6667 1.61763 348 891.6 1.61825 55
nn
n
ab na
bb
bb
b b
b b
b b
+= ≥
= == =
= ≈= =
= = = ≈
= ≈ = ≈
= = = ≈
(c) 1 1
1 1 1
1 11 1
1
n n n
n n n nn
n n n
b a aa a a a ba a a
− −
− − +
+ = +
+= + = = =
(d) If lim ,nn
b ρ→∞
= then 1
1lim 1 .n nb
ρ→∞ −
⎛ ⎞+ =⎜ ⎟
⎝ ⎠
Because 1lim lim ,n nn n
b b −→∞ →∞
= you have
( )1 1 .ρ ρ+ =
2
2
1
0 1
1 1 4 1 52 2
ρ ρ
ρ ρ
ρ
+ =
= − −
± + ±= =
Because ,na and therefore ,nb is positive,
1 5 1.6180.2
ρ += ≈
126. 0 11
1 11, , 1, 2,2n n
nx x x n
x−−
= = + = …
1 6
2 7
3 8
4 9
5 10
1.5 1.4142141.41667 1.4142141.414216 1.4141141.414214 1.4142141.414214 1.414214
x xx xx xx xx x
= =
= =
= =
= =
= =
The limit of the sequence appears to be 2. In fact, this sequence is Newton's Method applied to ( ) 2 2.f x x= −
Section 9.1 Sequences 267
© 2010 Brooks/Cole, Cengage Learning
127. (a) 1
2
3
4
5
2 1.4142
2 2 1.8478
2 2 2 1.9616
2 2 2 2 1.9904
2 2 2 2 2 1.9976
a
a
a
a
a
= ≈
= + ≈
= + + ≈
= + + + ≈
= + + + + ≈
(b) 1 12 , 2, 2n na a n a−= + ≥ =
(c) First use mathematical induction to show that 2;na ≤ clearly 1 2.a ≤ So assume 2.ka ≤ Then
1
2 4
2 2
2.
k
k
k
a
a
a +
+ ≤
+ ≤
≤
Now show that { }na is an increasing sequence. Because 0na ≥ and 2,na ≤
( )( )2
2
1
2 1 0
2 02
2.
n n
n n
n n
n n
n n
a a
a aa a
a aa a +
− + ≤
− − ≤
≤ +
≤ +
≤
Because { }na is a bounding increasing sequence, it converges to some number L, by Theorem 9.5.
( )( ) ( )
2 2lim 2 2 2 0
2 1 0 2 1
nn
a L L L L L L L
L L L L→∞
= ⇒ + = ⇒ + = ⇒ − − =
⇒ − + = ⇒ = ≠ −
128. (a) 1
2
3
4
5
6 2.4495
6 6 2.9068
6 6 6 2.9844
6 6 6 6 2.9974
6 6 6 6 6 2.9996
a
a
a
a
a
= ≈
= + ≈
= + + ≈
= + + + ≈
= + + + + ≈
(b) 1 16 , 2, 6n na a n a−= + ≥ =
(c) First use mathematical induction to show that 3;na ≤ clearly 1 3.a ≤ So assume 3.ka ≤ Then
1
6 9
6 3
3.
k
k
k
a
a
a +
+ ≤
+ ≤
≤
Now show that { }na is an increasing sequence. Because 0na ≥ and 3,na ≤
( )( )2
2
1
3 2 0
6 0
6
6
.
n n
n n
n n
n n
n n
a a
a a
a a
a a
a a +
− + ≤
− − ≤
≤ +
≤ +
≤
Because { }na is a bounded increasing sequence, it converges to some number : lim .nn
L a L→∞
= So,
( )( ) ( )
2 26 6 6 0
3 2 0 3 2
L L L L L L
L L L L
+ = ⇒ + = ⇒ − − =
⇒ − + = ⇒ = ≠ −
268 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
129. (a) Use mathematical induction to show that
1 1 4 .2n
ka + +≤
[Note that if 2,k = and 3,na ≤ and if 6,k = then 3.na ≤ ] Clearly,
11 4 1 1 4 .
2 2k ka k + + +
= ≤ ≤
Before proceeding to the induction step, note that
2
2 2 1 4 4 2 2 1 4 4
1 1 4 1 2 1 4 1 42 4
1 1 4 1 1 42 2
1 1 4 1 1 4 .2 2
k k k k
k k kk
k kk
k kk
+ + + = + + +
+ + + + + ++ =
⎡ ⎤+ + + ++ = ⎢ ⎥
⎢ ⎥⎣ ⎦
+ + + ++ =
So assume 1 1 4 .2n
ka + +≤ Then
1
1 1 42
1 1 42
1 1 4 .2
n
n
n
ka k k
ka k k
ka +
+ ++ ≤ +
+ ++ ≤ +
+ +≤
{ }na is increasing because
2
2
1
1 1 4 1 1 4 02 2
0
.
n n
n n
n n
n n
n n
k ka a
a a k
a a k
a a k
a a +
⎛ ⎞⎛ ⎞+ + − +− − ≤⎜ ⎟⎜ ⎟⎜ ⎟⎜ ⎟
⎝ ⎠⎝ ⎠
− − ≤
≤ +
≤ +
≤
(b) Because { }na is bounded and increasing, it has a limit L.
(c) lim nn
a L→∞
= implies that
2
2 0
1 1 4 .2
L k L L k L
L L k
kL
= + ⇒ = +
⇒ − − =
± +⇒ =
Because 1 1 40, .2
kL L + +> =
Section 9.1 Sequences 269
© 2010 Brooks/Cole, Cengage Learning
130. (a)
( )
0 0
0 01 1 0 0
1 12 2 1 1
2 23 3 2 2
3 34 4 3 3
4 45 5 4 4
10, 310 3 6.5 10 3 5.4772
2 2
5.9886 5.96672
5.9777 5.97772
5.9777 5.97772
5.9777 5.97772
a ba ba b a b
a ba b a b
a ba b a b
a ba b a b
a ba b a b
= =
+ += = = = = ≈
+= ≈ = ≈
+= ≈ = ≈
+= ≈ = ≈
+= ≈ = ≈
The terms of { }na are decreasing and those of { }nb are increasing. They both seem to approach the same limit.
(b) For 0,n = you need to show 0 1 1 0.a a b b> > > Because 0 00 0 0 0 0 0 1, 2 .
2a ba b a a b a a+
> > + ⇒ > =
Because ( )20 0 0,a b− >
( )
2 2 2 20 0 0 0 0 0 0 0 0 0
20 0 0 0 0 0 0 0 1 1
2 0 2 4
4 2 .
a a b b a a b b a b
a b a b a b a b a b
− + > ⇒ + + >
⇒ + > ⇒ + > ⇒ >
Because 20 0 0 0 0 0 0 0 1 0, .a b a b b a b b b b> > ⇒ > ⇒ > So, you have shown that 0 1 1 0.a a b b> > >
Now assume 1 1 .k k k ka a b b+ +> > > Because 1 1,k ka b+ +>
1 11 1 1 1 22 .
2k k
k k k k ka ba a b a a+ +
+ + + + ++
> + ⇒ > =
Because ( )21 1 0,k ka b+ +− >
( )
2 2 2 21 1 1 1 1 1 1 1 1 1
21 1 1 1
1 1 1 1
2 2
2 0 2 4
4
2
.
k k k k k k k k k k
k k k k
k k k k
k k
a a b b a a b b a b
a b a b
a b a b
a b
+ + + + + + + + + +
+ + + +
+ + + +
+ +
− + > ⇒ + + >
⇒ + >
⇒ + >
⇒ >
Because 21 1 1 1 1 1 1 1 2 1, .k k k k k k k k k ka b a b b a b b b b+ + + + + + + + + +> > ⇒ > ⇒ >
So, you have shown that 1 2 2 1.k k k ka a b b+ + + +> > >
(c) { }na converges because it is decreasing and bounded below by 0. { }nb converges because it is increasing and bounded
above by 0.a
(d) Let lim nn
a A→∞
= and lim .nn
b B→∞
= Then .2
A BA A B+= ⇒ =
131. (a) ( )
( ) ( )( )
( ) ( )
1sin , sin
cos , 0 1
sin 11lim lim sin lim 1 01
n
nn n n
f x x a nn
f x x f
na n f
n n→∞ →∞ →∞
= =
′ ′= =
′= = = =
(b) ( ) ( ) ( ) ( ) ( )( )0 0
0 0 1 10 lim lim lim lim lim1 n
n n nh h
f h f f h f nf nf a
h h n n+ + →∞ →∞ →∞→ →
+ − ⎛ ⎞′ = = = = =⎜ ⎟⎝ ⎠
270 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
132. nna nr=
(a) 1 1: 02 2 2
n
n nnr a n⎛ ⎞= = = →⎜ ⎟
⎝ ⎠
(b) 1: ,nr a n= = diverges
(c) 23 3: ,
2 2nr a n⎛ ⎞= = ⎜ ⎟⎝ ⎠
diverges
(d) If 1,r ≥ the sequences diverges. If 1,r <
( ) ( )
" "
1 0.ln ln
nn
n
n
nnrr
rr r r
−
−
∞=
∞−
→ = →−
The sequence converges for 1.r <
133. (a)
( ) ( )
1ln ln 2 ln 3 ln
ln 1 2 3 ln !
nx dx n
n n
< + + +
= ⋅ ⋅ =
∫
(b)
( )1
1ln ln 2 ln 3 ln ln !
nx dx n n
+> + + + =∫
(c)
1
ln ln
ln ln 1 ln 1n n
x dx x x x C
x dx n n n n n
= − +
= − + = − +
∫
∫
From part (a): ( )ln 1
1
ln 1 ln !
!
!
n
nn n
n
n
n n n
e n
n ne
− +
−
− + <
<
<
( ) ( )
( )
1
1
1
ln ( 1) ln 1 1 1
ln 1
n
n
x dx n n n
n n
+
+
= + + − + +
= + −
∫
From part (b): ( )( )
( )
1
1ln 1
1
ln( 1) ln !
!
1!
n
nn n
n
n
n n n
e n
nn
e
+
++ −
+
+ − >
>
+>
(d) ( )
( )( )( )
( )( ) ( )
1
1
1
1 1
1 1
1 1
1!
1!
11 !
nn
n n
n nn
n
nn
n
nn ne e
nn nee
nnn nee
+
−
+
−
+
−
+< <
+< <
+< <
( )
( ) ( ) ( ) ( )
( )
1 1
1 1 1
1 1lim
1 1 1lim lim
11
1
nn
n n
n n
ee
n n nne n e
e
e
−→∞
+
→∞ →∞
=
+ + +=
=
=
By the Squeeze Theorem, ! 1lim .n
n
nn e→∞
=
(e) 20
50
100
20!20: 0.41522050!50: 0.3897
50100!100: 0.3799
1001 0.3679
n
n
n
e
= ≈
= ≈
= ≈
≈
x
y
2 43
0.5
1.0
1.5
2.0 y = lnx
x
y
y = lnx
... n
x
y
2 3 4
0.5
1.0
1.5
2.0
n + 1...
y = lnx
Section 9.1 Sequences 271
© 2010 Brooks/Cole, Cengage Learning
134. ( )1
1 11
n
nk
an k n=
=+∑
(a)
( )
( ) ( )
( ) ( ) ( )
( ) ( ) ( ) ( )
1
2
3
4
5
1 1 0.51 1 2
1 1 1 1 2 1 7 0.58332 1 1 2 1 1 2 3 2 12
1 1 1 1 37 0.61673 1 1 3 1 2 3 1 1 60
1 1 1 1 1 533 0.63454 1 1 4 1 2 4 1 3 4 1 1 840
1 1 1 1 1 1 16275 1 1 5 1 2 5 1 3 5 1 4 5 1 1 25
a
a
a
a
a
= = =+⎡ ⎤ ⎡ ⎤= + = + = ≈⎢ ⎥ ⎢ ⎥+ + ⎣ ⎦⎢ ⎥⎣ ⎦
⎡ ⎤= + + = ≈⎢ ⎥
+ + +⎢ ⎥⎣ ⎦
⎡ ⎤= + + + = ≈⎢ ⎥
+ + + +⎢ ⎥⎣ ⎦
⎡ ⎤= + + + + =⎢ ⎥
+ + + + +⎢ ⎥⎣ ⎦0.6456
20≈
(b) ( )
1 1
001
1 1 1lim lim ln 1 ln 21 1
n
nn n k
a dx xn k n x→∞ →∞ =
⎡ ⎤= = = + =⎣ ⎦+ +∑ ∫
135. For a given 0,ε > you must find 0M > such that
31
na Ln
ε− = <
whenever .n M> That is,
1 3
3 1 1or .n nε ε
⎛ ⎞> > ⎜ ⎟⎝ ⎠
So, let 0ε > be given. Let M be an integer satisfying
( )1 31 .M ε> For ,n M> you have
1 3
3
3 3
1
1
1 1 0 .
n
n
n n
ε
ε
ε ε
⎛ ⎞> ⎜ ⎟⎝ ⎠
>
> ⇒ − <
So, 31lim 0.
n n→∞=
136. For a given 0,ε > you must find 0M > such that n
na L r ε− = whenever .n M> That is,
( )ln lnn r ε< or
( )lnln
nrε
> (because ln 0r < for 1r < ).
So, let 0ε > be given. Let M be an integer satisfying
( )ln.
lnM
rε
>
For ,n M> you have
( )
( )
( )
lnln
ln ln
ln ln
0 .
n
n
n
nr
n r
r
r
r
ε
ε
ε
ε
ε
>
<
<
<
− <
So, lim 0nn
r→∞
= for 1 1.r− < <
137. Answers will vary. Sample answer:
{ } ( ){ } { }
{ } ( ){ } { }22
1 1, 1, 1, 1, diverges
1 1, 1, 1, 1, converges
nn
nn
a
a
= − = − −
= − =
…
…
138. Let ( ) ( )sinf x xπ=
( )lim sinx
xπ→∞
does not exist.
( ) ( )sin 0na f n nπ= = = for all n
lim 0,nn
a→∞
= converges
272 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
139. If { }na is bounded, monotonic and nonincreasing, then 1 2 3 .na a a a≥ ≥ ≥ ≥ ≥ Then
1 2 3 na a a a− ≤ − ≤ − ≤ ≤ − ≤ is a bounded, monotonic, nondecreasing sequence which converges by the first half of the theorem. Because { }na− converges, then so does { }.na
140. Define 1 1 , 1.n nn
n
x xa nx
+ −+= ≥
( ) ( )
2 21 2 1 1
1 1 1 2
1 1 2
1
1
1n n n n n n
n n n n n n
n n n n
n n
n n
x x x x x x
x x x x x x
x x x xx x
a a
+ + − +
+ + − +
+ − +
+
+
− = = − ⇒
+ = +
+ +=
=
Therefore, 1 2 .a a a= = =… So,
1 1 1.n n n n n nx a x x ax x+ − −= − = −
141. ! 2nnT n= +
Use mathematical induction to verify the formula.
0
1
2
1 1 21 2 32 4 6
TTT
= + =
= + =
= + =
Assume ! 2 .kkT k= + Then
( ) ( ) ( )( )( ) ( ) ( )( ) ( ) ( )( )( )( )( ) ( )( ) ( ) ( ) ( ) ( ) ( )
( )( )
1 1 2
1 2
2
2 2
1
1 4 4 1 4 1 8
5 ! 2 4 1 1 ! 2 4 4 2 ! 2
5 1 4 1 1 4 1 2 ! 5 4 8 1 4 1 2
5 4 4 4 1 ! 8 2
1 ! 2 .
k k k k
k k k
k
k
k
T k T k T k T
k k k k k k
k k k k k k k k k k
k k k k
k
+ − −
− −
−
−
+
= + + − + + + −
⎡ ⎤= + + − + − + + − − +⎣ ⎦
= ⎡ + − − + − + − ⎤ − + ⎡ + − + + − ⎤⎣ ⎦ ⎣ ⎦
⎡ ⎤= + − − + − + ⋅⎣ ⎦
= + +
By mathematical induction, the formula is valid for all n.
Section 9.2 Series and Convergence
1. 1
2
3
4
5
141 14 91 1 14 9 161 1 1 14 9 16 25
1
1 1.2500
1 1.3611
1 1.4236
1 1.4636
S
S
S
S
S
=
= + =
= + + ≈
= + + + ≈
= + + + + ≈
2. 1
2
3
4
5
161 16 6
31 16 6 20
31 1 26 6 20 15
3 51 1 26 6 20 15 42
0.1667
0.3333
0.4833
0.6167
0.7357
S
S
S
S
S
= ≈
= + ≈
= + + ≈
= + + + ≈
= + + + + ≈
3. 1
2
3
4
5
929 272 49 27 812 4 89 27 81 2432 4 8 16
3
3 1.5
3 5.25
3 4.875
3 10.3125
S
S
S
S
S
=
= − = −
= − + =
= − + − = −
= − + − + =
4. 1
2
3
4
5
131 13 51 1 13 5 71 1 1 13 5 7 9
1
1 1.3333
1 1.5333
1 1.6762
1 1.7873
S
S
S
S
S
=
= + ≈
= + + ≈
= + + + ≈
= + + + + ≈
Section 9.2 Series and Convergence 273
© 2010 Brooks/Cole, Cengage Learning
5. 1
2
3
4
5
323 32 43 3 32 4 83 3 3 32 4 8 16
3
3 4.5
3 5.250
3 5.625
3 5.8125
S
S
S
S
S
=
= + =
= + + =
= + + + =
= + + + + =
6. 1
2
3
4
5
121 12 61 1 12 6 241 1 1 12 6 24 120
1
1 0.5
1 0.6667
1 0.6250
1 0.6333
S
S
S
S
S
=
= − =
= − + ≈
= − + − ≈
= − + − + ≈
7.
{ }
1
1
2 3 4, , , converges to 11 2 3
2 3 4 diverges1 2 3
n
n
nn
nan
a
a∞
=
+=
⎧ ⎫= ⎨ ⎬⎩ ⎭
= + + +∑
…
8. ( ){ } ( ) ( ) ( ){ }
( ) ( ) ( )
2 3
2 3
1
45
4 4 45 5 5
4 4 45 5 5
3
3 , 3 , 3 , converges to 0
3 3 3 converges
nn
n
nn
a
a
a∞
=
=
=
= + + +∑
…
( )45Geometric series, 1r = <
9. ( )0
76
n
n
∞
=∑
Geometric series
76 1r = >
Diverges by Theorem 9.6
10. ( )0
11105
n
n
∞
=∑
Geometric series
1110 1r = >
Diverges by Theorem 9.6
11. ( )0
1000 1.055 n
n
∞
=∑
Geometric series 1.055 1r = >
Diverges by Theorem 9.6
12. ( )0
2 1.03 n
n
∞
=
−∑
Geometric series
1.03 1r = >
Diverges by Theorem 9.6
13. 1 1
lim 1 01
n
n
nn
nn
∞
=
→∞
+
= ≠+
∑
Diverges by Theorem 9.9
14. 1 2 3
1lim 02 3 2
n
n
nn
nn
∞
=
→∞
+
= ≠+
∑
Diverges by Theorem 9.9
15. 2
21
2
2
1
lim 1 01
n
n
nn
nn
∞
=
→∞
+
= ≠+
∑
Diverges by Theorem 9.9
16.
( )
21
2 2
11lim lim 1 0
1 1 1
n
n n
nn
nn n
∞
=
→∞ →∞
+
= = ≠+ +
∑
Diverges by Theorem 9.9
17. 11
1
2 12
2 1 1 2 1lim lim 02 2 2
n
nn
n n
nn n
∞
+=
−
+→∞ →∞
+
+ += = ≠
∑
Diverges by Theorem 9.9
18. 1
!2
!lim2
nn
nn
n
n
∞
=
→∞= ∞
∑
Diverges by Theorem 9.9
19. ( )0
0 1 2
9 91 1 14 4 4 4 16
9 9 5 45 9 214 4 4 16 4 16
1
, , 2.95,
n
n
S S S
∞
=
⎡ ⎤= + + +⎣ ⎦
= = ⋅ = = ⋅ ≈
∑
…
Matches graph (c). Analytically, the series is geometric:
( )( )0
9 4 9 49 14 4 1 1 4 3 4 3
n
n
∞
=−= = =∑
274 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
20. ( )0
0 1 2
23
2 413 9
51, , 2.11, .3
n
n
S S S
∞
=
= + + +
= = ≈
∑
…
Matches graph (b). Analytically, the series is geometric:
( )0
23
1 1 31 2 3 1 3
n
n
∞
=
= = =−∑
21. 0
0 1 2
1 14 16
15 1 15 14 4 4
15 45, , 3.05,4 16
n
n
S S S
∞
=
⎛ ⎞ ⎡ ⎤− = − + −⎜ ⎟ ⎣ ⎦⎝ ⎠
= = ≈
∑
…
Matches graph (a). Analytically, the series is geometric:
( )0
15 1 15 4 15 4 34 4 1 1 4 5 4
n
n
∞
=
⎛ ⎞− = = =⎜ ⎟ − −⎝ ⎠∑
22. 0
0 1 3
17 8 17 8 6413 9 3 9 81
17, 0.63, 5.1,3
n
n
S S S
∞
=
⎛ ⎞ ⎡ ⎤− = − + −⎜ ⎟ ⎢ ⎥⎝ ⎠ ⎣ ⎦
= ≈ ≈
∑
…
Matches (d). Analytically, the series is geometric:
( )0
17 8 17 3 17 3 33 9 1 8 9 17 9
n
n
∞
=
⎛ ⎞− = = =⎜ ⎟ − −⎝ ⎠∑
23. 0
0 1
17 1 17 1 113 2 3 2 4
17 17, ,3 6
n
n
S S
∞
=
⎛ ⎞ ⎡ ⎤− = − + −⎜ ⎟ ⎢ ⎥⎝ ⎠ ⎣ ⎦
= =
∑
…
Matches (f ). The series is geometric:
( )0
17 1 17 1 17 2 343 2 3 1 1 2 3 3 9
n
n
∞
=
⎛ ⎞− = = =⎜ ⎟ − −⎝ ⎠∑
24. ( )0
0 1
25
2 415 25
71, ,5
n
n
S S
∞
=
= + + +
= =
∑
…
Matches (e). The series is geometric:
( )0
2 1 55 1 2 5 3
n
n
∞
=
⎛ ⎞ = =⎜ ⎟ −⎝ ⎠∑
25. ( )0
56
n
n
∞
=∑
Geometric series with 56 1r = <
Converges by Theorem 9.6
26. ( )0
122
n
n
∞
=
−∑
Geometric series with 12 1r = − <
Converges by Theorem 9.6
27. ( )0
0.9 n
n
∞
=∑
Geometric series with 0.9 1r = <
Converges by Theorem 9.6
28. ( )0
0.6 n
n
∞
=
−∑
Geometric series with 0.6 1r = − <
Converges by Theorem 9.6
29. ( )
( )
1 1
1
1 1 1 1 1 1 1 1 1 1 11 , 11 1 2 2 3 3 4 4 5 1
1 1lim lim 1 11 1
nn n
nn nn
Sn n n n n
Sn n n
∞ ∞
= =
∞
→∞ →∞=
⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞= − = − + − + − + − + = −⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟+ + +⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠
⎛ ⎞= = − =⎜ ⎟+ +⎝ ⎠
∑ ∑
∑
30. ( ) ( )
( ) ( ) ( )
1 1
1
1 1 1 1 1 1 1 1 1 1 1 1 12 2 2 2 2 6 4 8 6 10 8 12 10 14
1 1 1 1 1 1 1 3lim lim2 2 4 2 1 2 2 2 4 4
n n
nn nn
n n n n
Sn n n n
∞ ∞
= =
∞
→∞ →∞=
⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞= − = − + − + − + − + − +⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟⎜ ⎟+ + ⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠⎝ ⎠
⎡ ⎤= = + − − = + =⎢ ⎥
+ + +⎢ ⎥⎣ ⎦
∑ ∑
∑
31. (a) ( )1 1
6 1 1 1 1 1 1 1 1 12 2 13 3 4 2 5 3 6 4 7n nn n n n
∞ ∞
= =
⎡ ⎤⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞= − = − + − + − + − +⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟⎢ ⎥+ +⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠⎣ ⎦∑ ∑
1 1 1 1 1 1 1 112 1 2 1 3.6672 3 1 2 3 2 3 3nS
n n n⎛ ⎞⎡ ⎤⎛ ⎞ ⎛ ⎞= + + − + + = + + = ≈⎜ ⎟⎜ ⎟ ⎜ ⎟⎢ ⎥+ + +⎝ ⎠ ⎝ ⎠⎣ ⎦⎝ ⎠
(b)
n 5 10 20 50 100
nS 2.7976 3.1643 3.3936 3.5513 3.6078
Section 9.2 Series and Convergence 275
© 2010 Brooks/Cole, Cengage Learning
(c)
(d) The terms of the series decrease in magnitude slowly. So, the sequence of partial sums approaches the sum slowly.
32. (a) ( )1 1
4 1 14 4
115
n nn n n n
∞ ∞
= =
⎛ ⎞= −⎜ ⎟+ +⎝ ⎠
= −
∑ ∑
1 12 6
⎛ ⎞+ −⎜ ⎟
⎝ ⎠
1 13 7
⎛ ⎞+ −⎜ ⎟
⎝ ⎠
1 14 8
⎛ ⎞+ −⎜ ⎟
⎝ ⎠
15
⎛ ⎞+⎜ ⎟
⎝ ⎠
19
−16
⎛ ⎞+⎜ ⎟
⎝ ⎠
110
−
1 1 1 251 2.08332 3 4 12
⎛ ⎞+⎜ ⎟
⎝ ⎠
= + + + = ≈
(b) (c)
(d) The terms of the series decrease in magnitude slowly. So, the sequence of partial sums approaches the sum slowly.
33. (a) ( ) ( )1
1 0
22 0.9 2 0.9 201 0.9
n n
n n
∞ ∞−
= =
= = =−∑ ∑
(b)
(c)
(d) The terms of the series decrease in magnitude slowly. So, the sequence of partial sums approaches the sum slowly.
34. (a) ( ) 1
1
33 0.85 201 0.85
n
n
∞−
=
= =−∑ (Geometric series)
(b) (c)
(d) The terms of the series decrease in magnitude slowly. So, the sequence of partial sums approaches the sum slowly.
n 5 10 20 50 100
nS 1.5377 1.7607 1.9051 2.0071 2.0443
n 5 10 20 50 100
nS 8.1902 13.0264 17.5685 19.8969 19.9995
n 5 10 20 50 100
nS 11.1259 16.0625 19.2248 19.9941 19.999998
00
5
11
00 11
4
00
11
22
00
11
24
276 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
35. (a) ( ) 1
1
10 4010 0.25 13.33331 0.25 3
n
n
∞−
=
= = ≈−∑
(b) (c)
(d) The terms of the series decrease in magnitude rapidly. So, the sequence of partial sums approaches the sum rapidly.
36. (a) ( )
1
1
1 5 155 3.753 1 1 3 4
n
n
−∞
=
⎛ ⎞− = = =⎜ ⎟ − −⎝ ⎠∑
(b)
(c)
(d) The terms of the series decrease in magnitude rapidly. So, the sequence of partial sums approaches the sum rapidly.
37. ( )0
1 1 22 1 1 2
n
n
∞
=
⎛ ⎞ = =⎜ ⎟ −⎝ ⎠∑
38. ( )0
4 66 305 1 4 5
n
n
∞
=
⎛ ⎞ = =⎜ ⎟ −⎝ ⎠∑
(Geometric)
39. ( )0
1 1 33 1 1 3 4
n
n
∞
=
⎛ ⎞− = =⎜ ⎟ −⎝ ⎠∑
40. ( )0
6 3 2137 1 6 7 13
n
n
∞
=
⎛ ⎞− = =⎜ ⎟ − −⎝ ⎠∑
41. 22 2 2
1 1 2 1 2 1 1 11 1 1 2 1 1n n nn n n n n
∞ ∞ ∞
= = =
⎛ ⎞ ⎛ ⎞= − = −⎜ ⎟ ⎜ ⎟− − + − +⎝ ⎠ ⎝ ⎠∑ ∑ ∑
1 1 1 1 1 1 1 1 1 1 1 1 1 11 12 3 2 4 3 5 2 1 1 2 2 1nS
n n n n n n⎡ ⎤⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞= − + − + − + + − + − = + − −⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟⎢ ⎥− − + +⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠⎣ ⎦
22
1 1 1 1 1 3lim lim 11 2 2 1 4n
n nnS
n n n
∞
→∞ →∞=
⎛ ⎞= = + − − =⎜ ⎟− +⎝ ⎠∑
n 5 10 20 50 100
nS 13.3203 13.3333 13.3333 13.3333 13.3333
n 5 10 20 50 100
nS 3.7654 3.7499 3.7500 3.7500 3.7500
1100
15
00 11
7
Section 9.2 Series and Convergence 277
© 2010 Brooks/Cole, Cengage Learning
42. ( )1 1
4 1 122 2n nn n n n
∞ ∞
= =
⎛ ⎞= −⎜ ⎟+ +⎝ ⎠∑ ∑
1 1 1 1 1 1 1 1 1 1 1 12 1 2 13 2 4 3 5 1 1 2 2 1 2nS
n n n n n n⎡ ⎤⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞= − + − + − + + − + − = + − −⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟⎢ ⎥− + + + +⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠⎣ ⎦
( )1
4 1 1 1lim lim 2 1 32 2 1 2n
n nnS
n n n n
∞
→∞ →∞=
⎛ ⎞= = + − − =⎜ ⎟+ + +⎝ ⎠∑
43. ( )( )1 1
8 1 181 2 1 2n nn n n n
∞ ∞
= =
⎛ ⎞= −⎜ ⎟+ + + +⎝ ⎠∑ ∑
1 1 1 1 1 1 1 1 1 18 82 3 3 4 4 5 1 2 2 2nS
n n n⎡ ⎤⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞= − + − + − + + − = −⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟⎢ ⎥+ + +⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠⎣ ⎦
( )( )1
8 1 1lim lim 8 41 2 2 2n
n nnS
n n n
∞
→∞ →∞=
⎛ ⎞= = − =⎜ ⎟+ + +⎝ ⎠∑
44. ( )( )1 1
1 1 1 12 1 2 3 2 2 1 2 3n nn n n n
∞ ∞
= =
⎛ ⎞= −⎜ ⎟+ + + +⎝ ⎠∑ ∑
1 1 1 1 1 1 1 1 1 1 1 12 3 5 5 7 7 9 2 1 2 3 2 3 2 3nS
n n n⎡ ⎤⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞= − + − + − + + − = −⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟⎢ ⎥+ + +⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠⎣ ⎦
( )( )1
1 1 1 1 1lim lim2 1 2 3 2 3 2 3 6n
n nnS
n n n
∞
→∞ →∞=
⎛ ⎞= = − =⎜ ⎟+ + +⎝ ⎠∑
45. ( )0
1 1 1010 1 1 10 9
n
n
∞
=
⎛ ⎞ = =⎜ ⎟ −⎝ ⎠∑
46. ( )0
3 88 324 1 3 4
n
n
∞
=
⎛ ⎞ = =⎜ ⎟ −⎝ ⎠∑
47. ( )0
1 3 933 1 1 3 4
n
n
∞
=
⎛ ⎞− = =⎜ ⎟ − −⎝ ⎠∑
48. ( )0
1 4 842 1 1 2 3
n
n
∞
=
⎛ ⎞− = =⎜ ⎟ − −⎝ ⎠∑
49.
( ) ( )
0 0 0
1 1 1 12 3 2 3
1 1 3 121 1 2 1 1 3 2 2
n n
n nn n n
∞ ∞ ∞
= = =
⎛ ⎞ ⎛ ⎞ ⎛ ⎞− = −⎜ ⎟ ⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠ ⎝ ⎠
= − = − =− −
∑ ∑ ∑
50. ( ) ( )
( ) ( )
1 0 0
7 90.7 0.9 210 101 1 2
1 7 10 1 9 10
10 3410 23 3
n nn n
n n n
∞ ∞ ∞
= = =
⎛ ⎞ ⎛ ⎞⎡ ⎤+ = + −⎜ ⎟ ⎜ ⎟⎣ ⎦ ⎝ ⎠ ⎝ ⎠
= + −− −
= + − =
∑ ∑ ∑
51. Note that ( )sin 1 0.8415 1.≈ < The series ( )1
sin 1n
n
∞
=
⎡ ⎤⎣ ⎦∑
is geometric with ( )sin 1 1.r = < So,
( ) ( ) ( ) ( )( )1 0
sin 1sin 1 sin 1 sin 1 5.3080.
1 sin 1n n
n n
∞ ∞
= =
⎡ ⎤ = ⎡ ⎤ = ≈⎣ ⎦ ⎣ ⎦ −∑ ∑
52. ( )( )2
1 1
1 1
1 19 3 2 3 1 3 2
1 1 1 1 19 3 9 6 3 3 1 3 2
1 1 1 1 1 1 1 1 1 1 1 13 2 5 5 8 8 11 3 1 3 2 3 2 3 2
n n
nk k
n n
k k
Sk k k k
k k k k
n n n
= =
= =
= =+ − − +
⎡ ⎤ ⎡ ⎤= − = −⎢ ⎥ ⎢ ⎥− + − +⎣ ⎦ ⎣ ⎦
⎡ ⎤⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞= − + − + − + + − = −⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟⎢ ⎥− + +⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠⎣ ⎦
∑ ∑
∑ ∑
1 1 1 1lim lim3 2 3 2 6n
n nS
n→∞ →∞
⎛ ⎞= − =⎜ ⎟+⎝ ⎠
278 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
53. (a) 0
4 10.410 10
n
n
∞
=
⎛ ⎞= ⎜ ⎟⎝ ⎠
∑
(b) Geometric series with 410
a = and 110
r =
( )
4 10 41 1 1 10 9
aSr
= = =− −
54. (a)
1 0
9 9 90.910 100 1000
1 9 1910 10 10
n n
n n
∞ ∞
= =
= + + +
⎛ ⎞ ⎛ ⎞= =⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠
∑ ∑
(b) ( )
9 10.9 110 1 1 10
= =−
55. (a) 0
81 10.81100 100
n
n
∞
=
⎛ ⎞= ⎜ ⎟⎝ ⎠
∑
(b) Geometric series with 81100
a = and 1100
r =
( )
81 100 81 91 1 1 100 99 11
aSr
= = = =− −
56. (a) 1 0
1 1 10.01100 100 100
n n
n n
∞ ∞
= =
⎛ ⎞ ⎛ ⎞= =⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠
∑ ∑
(b) ( )
1 1 1 100 10.01100 1 1 100 100 99 99
= ⋅ = ⋅ =−
57. (a) 0
3 10.07540 100
n
n
∞
=
⎛ ⎞= ⎜ ⎟⎝ ⎠
∑
(b) Geometric series with 340
a = and 1100
r =
3 40 51 99 100 66
aSr
= = =−
58. (a) 0
1 3 10.2155 200 100
n
n
∞
=
⎛ ⎞= + ⎜ ⎟⎝ ⎠
∑
(b) Geometric series with 3200
a = and 1100
r =
1 1 3 200 715 1 5 99 100 330
aSr
= + = + =−
59. ( )0
1.075 n
n
∞
=∑
Geometric series with 1.075r =
Diverges by Theorem 9.6
60. 1
31000
n
n
∞
=∑
Geometric series with 3 1.r = >
Diverges by Theorem 9.6
61. 1
1010 1n
nn
∞
=
++∑
10 1lim 010 1 10n
nn→∞
+= ≠
+
Diverges by Theorem 9.9
62. 1
4 13 1n
nn
∞
=
+−∑
4 1 4lim 03 1 3n
nn→∞
+= ≠
−
Diverges by Theorem 9.9
63. 1
1 12n n n
∞
=
⎛ ⎞−⎜ ⎟+⎝ ⎠∑
1 1 1 1 1 1 1 1 1 1 1 11 13 2 4 3 5 1 1 2 2 1 2nS
n n n n n n⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞= − + − + − + + − + − = + − −⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟− + + + +⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠
1
1 1 1 1 1 3lim lim 1 , converges2 2 1 2 2n
n nnS
n n n n
∞
→∞ →∞=
⎛ ⎞ ⎛ ⎞− = = + − − =⎜ ⎟ ⎜ ⎟+ + +⎝ ⎠ ⎝ ⎠∑
64. 1
1 11 2n n n
∞
=
⎛ ⎞−⎜ ⎟+ +⎝ ⎠∑
1 1 1 1 1 1 1 12 3 3 4 1 2 2 2nS
n n n⎛ ⎞ ⎛ ⎞ ⎛ ⎞= − + − + + − = −⎜ ⎟ ⎜ ⎟ ⎜ ⎟+ + +⎝ ⎠ ⎝ ⎠ ⎝ ⎠
1
1 1 1 1 1lim lim , converges1 2 2 2 2n
n nnS
n n n
∞
→∞ →∞=
⎛ ⎞ ⎛ ⎞− = = − =⎜ ⎟ ⎜ ⎟+ + +⎝ ⎠ ⎝ ⎠∑
Section 9.2 Series and Convergence 279
© 2010 Brooks/Cole, Cengage Learning
65. ( )1 1
1 1 1 13 3 3n nn n n n
∞ ∞
= =
⎛ ⎞= −⎜ ⎟+ +⎝ ⎠∑ ∑
1 1 1 1 1 1 1 1 1 1 1 1 1 1 13 1 4 2 5 3 6 4 7 2 1 1 2 3
1 1 1 1 1 113 2 3 1 2 3
nSn n n n n n
n n n
⎡ ⎤⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞= − + − + − + − + + − − − − −⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟⎢ ⎥− + − + +⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠⎣ ⎦
⎛ ⎞= + + − − −⎜ ⎟+ + +⎝ ⎠
( )1
1 1 1 1 1 1 1 1 11 11lim lim 1 , converges3 3 2 3 1 2 3 3 6 8n
n nnS
n n n n n
∞
→∞ →∞=
⎛ ⎞ ⎛ ⎞= = + + − − − = =⎜ ⎟ ⎜ ⎟+ + + +⎝ ⎠ ⎝ ⎠∑
66. ( )1 1
1 1 1 12 1 2 1n nn n n n
∞ ∞
= =
⎛ ⎞= −⎜ ⎟+ +⎝ ⎠∑ ∑
1 1 1 1 1 1 1 1 1 11 12 2 2 3 3 4 1 2 1nS
n n n⎡ ⎤⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞= − + − + − + + − = −⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟⎢ ⎥+ +⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠⎣ ⎦
( )1
1 1 1 1lim lim 1 , converges2 1 2 1 2n
n nnS
n n n
∞
→∞ →∞=
⎛ ⎞= = − =⎜ ⎟+ +⎝ ⎠∑
67. 1
3 12 1n
nn
∞
=
−+∑
3 1 3lim 02 1 2n
nn→∞
−= ≠
+
Diverges by Theorem 9.9
68. 31
3n
n n
∞
=∑
( )
( ) ( )
3 2
2 3
ln 2 33lim lim3
ln 2 3 ln 3lim lim
6 6
nn
n n
n n
n n
n n
nn
→∞ →∞
→∞ →∞
=
= = = ∞
(by L'Hôpital's Rule); diverges by Theorem 9.9
69. 0 0
4 142 2
n
nn n
∞ ∞
= =
⎛ ⎞= ⎜ ⎟⎝ ⎠
∑ ∑
Geometric series with 12
r =
Converges by Theorem 9.6
70. 0 0
3 13 ,5
n
nn nS
∞ ∞
= =
⎛ ⎞= ⎜ ⎟⎝ ⎠
∑ ∑ convergent
Geometric series with 15
r =
71. Because ( )ln ,n n> the terms ( )lnnnan
= do not
approach 0 as .n → ∞ So, the series ( )2 lnn
nn
∞
=∑ diverges.
72. ( )
( )1 1
1ln ln
0 ln 2 ln 3 ln
n n
nk k
S kk
n= =
⎛ ⎞= = −⎜ ⎟⎝ ⎠
= − − − −
∑ ∑
Because lim nn
S→∞
diverges, 1
1lnn n
∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
∑ diverges.
73. For 0,k ≠
lim 1 lim 1
0.
kn n k
n n
k
k kn n
e
→∞ →∞
⎡ ⎤⎛ ⎞ ⎛ ⎞+ = +⎢ ⎥⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠⎢ ⎥⎣ ⎦
= ≠
For ( )0, lim 1 0 1 0.n
nk
→∞= + = ≠
So, 1
1n
n
kn
∞
=
⎡ ⎤+⎢ ⎥⎣ ⎦∑ diverges.
74. 1 1
1 nn
n ne
e
∞ ∞−
= =
⎛ ⎞= ⎜ ⎟⎝ ⎠
∑ ∑ converges because it is geometric
with
1 1.re
= <
75. lim arctan 02n
n π→∞
= ≠
So, 1arctan
nn
∞
=∑ diverges.
280 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
76.
( ) ( ) ( )( )( ) ( ) ( )
1
1ln
2 3 1ln ln ln1 2
ln 2 ln1 ln 3 ln 2 ln 1 ln
ln 1 ln 1 ln 1
n
nk
kSk
nn
n n
n n
=
+⎛ ⎞= ⎜ ⎟⎝ ⎠
+⎛ ⎞ ⎛ ⎞ ⎛ ⎞= + + +⎜ ⎟ ⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠ ⎝ ⎠
= − + − + + + −
= + − = +
∑
Diverges
77. See definitions on page 608.
78. lim 5nn
a→∞
= means that the limit of the sequence { }na is
5.
1 21
5nn
a a a∞
=
= + + =∑ means that the limit of the
partial sums is 5.
79. The series given by
2
0, 0n n
nar a ar ar ar a
∞
=
= + + + + + ≠∑
is a geometric series with ratio r. When 0 1,r< < the
series converges to ( )1 .a r− The series diverges if
1.r ≥
80. If lim 0,nn
a→∞
≠ then 1
nn
a∞
=∑ diverges.
81. (a) 1 2 31
nn
a a a a∞
=
= + + +∑
(b) 1 2 31
kk
a a a a∞
=
= + + +∑
These are the same. The third series is different, unless 1 2a a a= = = is constant.
(c) 1
k k kn
a a a∞
=
= + +∑
82. (a) Yes, the new series will still diverge. (b) Yes, the new series will converge.
83. 1 1 02 2 2 2
n nn
nn n n
x x x x∞ ∞ ∞
= = =
⎛ ⎞ ⎛ ⎞= =⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠
∑ ∑ ∑
Geometric series: converges for 12x
< or 2x <
( )
( )
02 21 2 , 2
2 1 2 2 2 2
n
n
x xf x
x x x xx x x
∞
=
⎛ ⎞= ⎜ ⎟⎝ ⎠
= = = <− − −
∑
84. ( ) ( ) ( )1 0
3 3 3n n
n nx x x
∞ ∞
= =
=∑ ∑
Geometric series: converges for 3 13
x x 1< ⇒ <
( ) ( ) ( ) ( )0
1 33 3 3 ,1 3 1 3 3
n
n
xf x x x x xx x
∞
=
1= = = <
− −∑
85. ( ) ( ) ( )1 0
1 1 1n n
n nx x x
∞ ∞
= =
− = − −∑ ∑
Geometric series: converges for 1 1 0 2x x− < ⇒ < <
( ) ( ) ( )
( ) ( )
01 1
1 11 , 0 21 1 2
n
nf x x x
xx xx x
∞
=
= − −
−= − = < <
− − −
∑
86. 0
344
n
n
x∞
=
−⎛ ⎞⎜ ⎟⎝ ⎠
∑
Geometric series: converges for
3 1 3 4 1 74
x x x−< ⇒ − < ⇒ − < <
( ) ( )
( )
0
3 444 1 3 4
4 16 , 1 74 3 4 7
n
n
xf xx
xx x
∞
=
−⎛ ⎞= =⎜ ⎟ − ⎡ − ⎤⎝ ⎠ ⎣ ⎦
= = − < <− + −
∑
87. ( ) ( )0 0
1 n nn
n nx x
∞ ∞
= =
− = −∑ ∑
Geometric series: converges for
( ) ( )
0
1 1 1 1
1 , 1 11
n
n
x x x
f x x xx
∞
=
− < ⇒ < ⇒ − < <
= − = − < <+∑
88. ( ) ( )2 2
0 01
nn n
n nx x
∞ ∞
= =
− = −∑ ∑
Geometric series: converges for
( ) ( ) ( )
2
222
0
1 1 1
1 1 , 1 111
n
n
x x
f x x xxx
∞
=
− < ⇒ − < <
= − = = − < <+− −
∑
89. 0
1 n
n x
∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
∑
Geometric series: converges if 1 1x
<
1 1 or 1x x x⇒ > ⇒ < − >
( ) ( )0
1 1 , 1 or 11 1 1
n
n
xf x x xx x x
∞
=
⎛ ⎞= = = > < −⎜ ⎟ − −⎝ ⎠∑
Section 9.2 Series and Convergence 281
© 2010 Brooks/Cole, Cengage Learning
90. 2 2 2
2 2 21 04 4 4
n n
n n
x x xx x x
∞ ∞
= =
⎛ ⎞ ⎛ ⎞=⎜ ⎟ ⎜ ⎟+ + +⎝ ⎠ ⎝ ⎠
∑ ∑
Geometric series: converges for 2
2 14
xx
<+
2 2 4x x⇒ < + ⇒ converges for all x
( )2 2 2
22 2
2
1 44 4 4 41
4
x x x xf xxx x
x
2+= ⋅ = =
+ +−+
91. ( ) ( )( )
22
2 0 0
1 11 111
nn n
n n nc c
cc
∞ ∞ ∞− − −
= = =
⎛ ⎞+ = + = ⎜ ⎟+⎝ ⎠+∑ ∑ ∑
For convergence, 1 1 1 11
0 or 2
cc
c c
< ⇒ < ++
⇒ > < −
( )
( )
( )
20
2
2
1 1211
1 12 111
112 1
2 2 1 0
n
n cc
ccc
c
cc
c c
∞
=
⎛ ⎞= ⎜ ⎟+⎝ ⎠+
++ = =
⎛ ⎞− ⎜ ⎟+⎝ ⎠
+ =
+ − =
∑
2 4 8 1 34 2
c − + + − ±= =
Because 1 32 0,2
− −− < < the answer is
1 32
c − +=
92. ( )0 0
5
1 51
11545
4ln5
ncn c
n n
c
c
c
e e
e
e
e
c
∞ ∞
= =
= =
=−
− =
=
⎛ ⎞= ⎜ ⎟⎝ ⎠
∑ ∑
93. Neither statement is true. The formula
21 11
x xx= + + +
−
holds for 1 1.x− < <
94. (a) False. The fact that 41 0n
→ is irrelevant to the
convergence of 41
1 .n n
∞
=∑ Furthermore, 4
1
1 0.n n
∞
=
≠∑
(b) False. The fact that 4
1 0n
→ is irrelevant to the
convergence of 4
1 .n∑ In fact,
4
1n∑ diverges.
95. (a) x is the common ratio.
(b) 2
0
11 , 11
n
nx x x x
x
∞
=
+ + + = = <−∑
(c) 1
22 3
2 3 43 5
11
1
1
yx
y S x x
y S x x x x
=−
= = + +
= = + + + +
Answers will vary.
96. (a) 2x⎛ ⎞−⎜ ⎟
⎝ ⎠is the common ratio.
(b)
( )
2 3
01
2 4 8 21
1 2
2 , 22
n
n
x x x x
x
xx
∞
=
⎛ ⎞− + − + = −⎜ ⎟⎝ ⎠
=− −
= <+
∑
(c) 1
2
2 3
2 3 4
3 5
22
12 4
12 4 8 16
yx
x xy S
x x x xy S
=+
= = − +
= = − + − +
Answers will vary.
1.5−1.50
f
S3
S5
3
f
S3
S5
5
5
−5
−5
282 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
97. ( ) 1 0.531 0.5
xf x
⎡ ⎤−= ⎢ ⎥−⎣ ⎦
Horizontal asymptote: 6y =
( )
0
132
3 61 1 2
n
n
S
∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
= =−
∑
The horizontal asymptote is the sum of the series.
( )f n is the nth partial sum.
98. ( ) 1 0.821 0.8
xf x
⎡ ⎤−= ⎢ ⎥−⎣ ⎦
Horizontal asymptote: 10y =
( )
( )
0
452
1 101 4 5
n
n
S
∞
=
= =−
∑
The horizontal asymptote is the sum of the series. ( )f n is the nth partial sum.
99. ( )
( )( )
2
2
2
1 0.00011
10,000
0 10,000
1 1 4 1 10,0002
n n
n n
n n
n
<+
< +
< + −
− ± − −=
Choosing the positive value for n you have 99.5012.n ≈ The first term that is less than 0.0001 is 100.n =
1 0.00018
10,000 8
n
n
⎛ ⎞ <⎜ ⎟⎝ ⎠
<
This inequality is true when 5.n = This series converges at a faster rate.
100. 1 0.00012
10,000 2
n
n
<
<
This inequality is true when 14.n =
( )0.01 0.0001
10,000 10
n
n
<
<
This inequality is true when 5.n = This series converges at a faster rate.
101. ( )1
0
8000 1 0.958000 0.95
1 0.95
160,000 1 0.95 , 0
nni
i
n n
−
=
⎡ ⎤−⎣ ⎦=−
⎡ ⎤= − >⎣ ⎦
∑
102. ( ) ( ) ( )
( ) ( )5475,000 1 0.3 475,000 0.7
5 475,000 0.7 $79,833.25
n nV t
V
= − =
= =
103. ( )0
200 0.75 800 million dollarsi
i
∞
=
=∑
104. ( )0
200 0.60 500 million dollarsi
i
∞
=
=∑
105.
( ) ( ) ( )
( ) ( ) ( )
( ) ( )
( )
1
2
up down
2 2 23
2
0
16
0.81 16 0.81 16 32 0.81
16 0.81 16 0.81 32 0.81
16 32 0.81 32 0.81
3216 32 0.81 161 0.81
152.42 feet
n
n
D
D
D
D∞
=
=
= + =
= + =
= + + +
= − + = − +−
≈
∑
106. The ball in Exercise 105 takes the following times for each fall.
( )
( )
( )
( )
( )
21 1
22 2
2 223 3
1 12
16 16 0 if 116 16 0.81 0 if 0.9
16 16 0.81 0 if 0.9
16 16 0.81 0 if 0.9n nn n
s t s ts t s t
s t s t
s t s t− −
= − + = == − + = =
= − + = =
= − + = =
Beginning with 2,s the ball takes the same amount of time to bounce up as it takes to fall. The total elapsed time before the ball comes to rest is
( ) ( )
1 01 2 0.9 1 2 0.9
21 19 seconds.1 0.9
n n
n nt
∞ ∞
= =
= + = − +
= − + =−
∑ ∑
−2 10
−1
y = 67
−2 16
−2
y = 1012
Section 9.2 Series and Convergence 283
© 2010 Brooks/Cole, Cengage Learning
107. ( )
( )2
1 12 2
1 1 122 2 8
n
P n
P
⎛ ⎞= ⎜ ⎟⎝ ⎠
⎛ ⎞= =⎜ ⎟⎝ ⎠
( )0
1 1 1 2 12 2 1 1 2
n
n
∞
=
⎛ ⎞ = =⎜ ⎟ −⎝ ⎠∑
108. ( )
( )2
1 23 3
1 2 423 3 27
n
P n
P
⎛ ⎞= ⎜ ⎟⎝ ⎠
⎛ ⎞= =⎜ ⎟⎝ ⎠
( )0
1 2 1 3 13 3 1 2 3
n
n
∞
=
⎛ ⎞ = =⎜ ⎟ −⎝ ⎠∑
109. (a) ( )( )1 0
1 1 1 1 1 12 2 2 2 1 1 2
n n
n n
∞ ∞
= =
⎛ ⎞ ⎛ ⎞= = =⎜ ⎟ ⎜ ⎟ −⎝ ⎠ ⎝ ⎠∑ ∑
(b) No, the series is not geometric.
(c) 1
1 22
n
nn
∞
=
⎛ ⎞ =⎜ ⎟⎝ ⎠
∑
110. ( )
( )
( )
4 70
2 5 80
3 6 90
1 1 1 1 1 1 1 4Person 1:2 2 2 2 8 2 1 1 8 7
1 1 1 1 1 1 1 2Person 2:2 2 2 4 8 4 1 1 8 7
1 1 1 1 1 1 1 1Person 3:2 2 2 8 8 81 1 8 7
4 2 1Sum: 17 7 7
n
n
n
n
n
n
∞
=
∞
=
∞
=
⎛ ⎞+ + + = = =⎜ ⎟ −⎝ ⎠
⎛ ⎞+ + + = = =⎜ ⎟ −⎝ ⎠
⎛ ⎞+ + + = = =⎜ ⎟ −⎝ ⎠
+ + =
∑
∑
∑
111. (a) 264 32 16 8 4 2 126 in.+ + + + + =
(b) ( )
2
0
1 6464 128 in.2 1 1 2
n
n
∞
=
⎛ ⎞ = =⎜ ⎟ −⎝ ⎠∑
Note: This is one-half of the area of the original square
112. (a) 11
1 1 21 1 1
1
1 2 31 2 1 1
1 1
2 3
sin sin
sin sin sin
sin sin sin
sinTotal: sin sin sin1 sin
yy
yy
YY z
zx y
x y Y zY
x yx y x y z
x y
z z z z
θ θ
θ θ θ
θ θ θ
θθ θ θθ
= ⇒ =
= ⇒ = =
= ⇒ = =
+ + + =−
(b) If 1z = and ,6πθ = then
( )1 2total 1.
1 1 2= =
−
113. ( ) ( )20 19 20
11
1 0
11.06
100,000 1 100,000 1 1.06100,000 20, 1.06 $1,146,992.121.06 1.06 1.06 1 1.06
in
n in r
−−
−= =
⎡ ⎤−⎛ ⎞= = = = ≈⎢ ⎥⎜ ⎟ −⎝ ⎠ ⎣ ⎦∑ ∑
The $2,000,000 sweepstakes has a present value of $1,146,992.12. After accruing interest over the 20-year period, it attains its full value.
114. ( ) ( ) ( ) ( )2 22 21 1
3 9Surface area 4 1 9 4 9 4 4π π π π π⎛ ⎞= + + ⋅ + = + + = ∞⎜ ⎟⎝ ⎠
16 in.
16 in.
284 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
115. ( ) ( ) ( )1
0
0.01 1 20.01 2 0.01 2 1
1 2
nni n
iw
−
=
−= = = −
−∑
(a) When 29: $5,368,709.11n w= =
(b) When 30: $10,737,418.23n w= =
(c) When 31: $21,474,836.47n w= =
116.
( )( )( ) ( )
12
12 1
0
12
12
121212 1
1212 12
0
1 112
112 1 1
12
12 1 112
12 1 112
1 11 1
t
nt
n
t
t
tr rtt nrr r
n
rPrP
r
rPr
rPr
P e P eP e
e e
−
=
−
=
⎡ ⎤⎛ ⎞− +⎢ ⎥⎜ ⎟⎝ ⎠⎢ ⎥⎛ ⎞ ⎣ ⎦+ =⎜ ⎟ ⎛ ⎞⎝ ⎠ − +⎜ ⎟⎝ ⎠
⎡ ⎤⎛⎛ ⎞ ⎛ ⎞⎢ ⎥= − − +⎜⎜ ⎟ ⎜ ⎟⎜⎝ ⎠ ⎝ ⎠⎢ ⎥⎝⎣ ⎦
⎡ ⎤⎛ ⎞ ⎛ ⎞= + −⎢ ⎥⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠⎢ ⎥⎣ ⎦
− −= =
− −
∑
∑
117. 45, 0.03, 20P r t= = =
(a) ( )12 2012 0.0345 1 1 $14,773.59
0.03 12A
⎡ ⎤⎛ ⎞ ⎛ ⎞= + − ≈⎢ ⎥⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠⎢ ⎥⎣ ⎦
(b) ( )( )0.03 20
0.03 12
45 1$14,779.65
1
eA
e
−= ≈
−
118. 75, 0.055, 25P r t= = =
(a) ( )12 2512 0.05575 1 1 $48,152.81
0.055 12A
⎡ ⎤⎛ ⎞ ⎛ ⎞= + − ≈⎢ ⎥⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠⎢ ⎥⎣ ⎦
(b) ( )( )0.055 25
0.055 12
75 1$48,245.07
1
eA
e
−= ≈
−
119. 100, 0.04, 35P r t= = =
(a) ( )12 3512 0.04100 1 1 $91,373.09
0.04 12A
⎡ ⎤⎛ ⎞ ⎛ ⎞= + − ≈⎢ ⎥⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠⎢ ⎥⎣ ⎦
(b) ( )( )0.04 35
0.04 12
100 1$91,503.32
1
eA
e
−= ≈
−
120. 30, 0.06, 50P r t= = =
(a) ( )12 5012 0.0630 1 1 113,615.73
0.06 12A
⎡ ⎤⎛ ⎞ ⎛ ⎞= + − ≈⎢ ⎥⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠⎢ ⎥⎣ ⎦
(b) ( )( )0.06 50
0.06 12
30 1$114,227.18
1
eA
e
−= ≈
−
121. ( ) ( )
( )
39
39
0
40
50,000 50,000 1.04 50,000 1.04
50,000 1.04
1 1.0450,000 $4,751,275.791 1.04
n
n
T
=
= + + +
=
⎡ ⎤−= ≈⎢ ⎥−⎣ ⎦
∑
122. ( )39
050,000 1.045 $5,351,516.15n
nT
=
= ≈∑
123. False. 1lim 0,n n→∞
= but 1
1
n n
∞
=∑ diverges.
124. True
125. False; 1 1
n
n
aar ar
∞
=
⎛ ⎞= −⎜ ⎟−⎝ ⎠∑
The formula requires that the geometric series begins with 0.n =
126. True
( )
1lim 01000 1 1000n
nn→∞
= ≠+
127. True
( )
3 4
30
3
3
9 90.74999 0.7410 10
9 10.7410 109 10.74
10 1 1 10
9 100.7410 9
10.74 0.75100
n
n
∞
=
= + + +
⎛ ⎞= + ⎜ ⎟⎝ ⎠
= + ⋅−
= + ⋅
= + =
∑
…
128. True
Section 9.2 Series and Convergence 285
© 2010 Brooks/Cole, Cengage Learning
129. By letting 0 0,S = you have
1
11 1
.n n
n k k n nk k
a a a S S−
−= =
= − = −∑ ∑ So,
( )
( )
( ) ( )
11 1
11
11
.
n n nn n
n nn
n nn
a S S
S S c c
c S c S
∞ ∞
−= =
∞
−=
∞
−=
= −
= − + −
= ⎡ − − − ⎤⎣ ⎦
∑ ∑
∑
∑
130. Let { }nS be the sequence of partial sums for the
convergent series
1
.nn
a L∞
=
=∑ Then lim nn
S L→∞
= and because
1
,n k nk n
R a L S∞
= +
= = −∑
you have
( )lim lim lim lim 0.n n nn n n n
R L S L S L L→∞ →∞ →∞ →∞
= − = − = − =
131. Let 01n
na
∞
=
=∑ ∑ and ( )0
1 .nn
b∞
=
= −∑ ∑
Both are divergent series.
( ) ( ) [ ]0 0
1 1 1 1 0n nn n
a b∞ ∞
= =
+ = ⎡ + − ⎤ = − =⎣ ⎦∑ ∑ ∑
132. If ( )n na b∑ + converged, then
( )n n n na b a b∑ + − ∑ = ∑ would converge, which is a
contradiction. So, ( )n na b∑ + diverges.
133. Suppose, on the contrary, that nca∑ converges. Because 0,c ≠
1n nca a
c⎛ ⎞ =⎜ ⎟⎝ ⎠
∑ ∑
converges. This is a contradiction since nca∑ diverged. So, nca∑ diverges.
134. If na∑ converges, then lim 0.nn
a→∞
= So, 1lim 0,n na→∞
≠
which implies that 1na∑ diverges.
135. (a) 3 1 2
1 2 2 3 1 2 3 1 2 3 1 3
1 1 1n n n
n n n n n n n n n n n n
a a aa a a a a a a a a a a a
+ + +
+ + + + + + + + + + + +
−− = = =
(b) 1 30
1 2 2 30
1 2 2 3 2 3 3 4 1 2 2 3 1 2 2 3 2 3
1
1 1
1 1 1 1 1 1 1 1 11
n
nk kk
n
k k k kk
n n n n n n n n
Sa a
a a a a
a a a a a a a a a a a a a a a a a a
+ +=
+ + + +=
+ + + + + + + +
=
⎡ ⎤= −⎢ ⎥
⎣ ⎦
⎡ ⎤ ⎡ ⎤ ⎡ ⎤= − + − + + − = − = −⎢ ⎥ ⎢ ⎥ ⎢ ⎥⎣ ⎦ ⎣ ⎦ ⎣ ⎦
∑
∑
1 3 2 30
1 1lim lim 1 1nn nn n n nn
Sa a a a
∞
→∞ →∞+ + + +=
⎡ ⎤= = − =⎢ ⎥
⎣ ⎦∑
136.
( ) ( ) ( ) ( )
2 3 2 2 12
2 4 2 3 2 1 2 2
0 0
1 2 2 2
1 2 2 2 2
n nn
n nk kn n
k n
S x x x x x
x x x x x x x x x
+
+
= =
= + + + + + +
= + + + + + + + + = +∑ ∑
As ,n → ∞ the two geometric series converge for 1:x <
2 2 2 21 1 1 2lim 2 , 1
1 1 1nn
xS x xx x x→∞
+⎛ ⎞= + = <⎜ ⎟− − −⎝ ⎠
137. ( )2 3
0
1 1 1 1 1 1 1 1since 11 1 1
n
n
rr r r r r r r r
∞
=
⎛ ⎞⎛ ⎞+ + + = = = <⎜ ⎟⎜ ⎟ − −⎝ ⎠ ⎝ ⎠∑
This is a geometric series which converges if
1 1 1.rr
< ⇔ >
286 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
138. ( )( )
( )( ) ( ) ( )
11 2 1 2
1 1 2 2 1n n
A B Cn n n n n n
A n n B n C n
= + ++ + + +
= + + + + + +
When 0, 1 2 1 2n A A= = ⇒ =
When 1, 1 1n B B= − = − ⇒ = − When 2, 1 2 1 2n C C= − = ⇒ =
( )( )1
1 1 2 1 1 21 2 1 2n n n n n n n
∞
=
−= + +
+ + + +∑
1 2 1 1 2 1 2 1 1 2 1 2 1 1 2 1 2 1 1 21 2 3 2 3 4 3 4 4 1 2
1 2 1 1 2 1 1 1 1 1 2 1 1 21 2 2 3 3 4 4 1 2
nSn n n
n n n
⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞= − + + − + + − + + + − +⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟+ +⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞= − + + − + − + + − +⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟+ +⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠
As , 1 4nn S→ ∞ →
( )( )1
1 11 2 4n n n n
∞
=
=+ +∑
139. (a)
(b) ( )
( )
( )
121
00
12 31 20
03 41 2 3
0
112 2
1 1 12 3 2 3 6
1 1 13 4 3 4 12
xx dx x
x xx x dx
x xx x dx
⎡ ⎤− = − =⎢ ⎥
⎣ ⎦
⎡ ⎤− = − = − =⎢ ⎥
⎣ ⎦⎡ ⎤
− = − = − =⎢ ⎥⎣ ⎦
∫
∫
∫
(c) ( )111 1
00
1
1 11 1
1 1 11 12 2 3
n nn n
n
nn
x xa x x dxn n n n
a
+−
∞
=
⎡ ⎤= − = − = −⎢ ⎥+ +⎣ ⎦
⎛ ⎞ ⎛ ⎞= − + − + =⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠
∫
∑
Note that the square has area 1.=
140. The entire rectangle has area 2 because the height is 1
and the base is 1 11 2.2 4
+ + + = The squares all lie
inside the rectangle, and the sum of their areas is
2 2 21 1 11 .2 3 4
+ + + +
So, 21
1 2.n n
∞
=
<∑
141. Let H represent the half-life of the drug. If a patient receives n equal doses of P units each of this drug, administered at equal time interval of length t, the total amount of the drug in the patient’s system at the time the last dose is administered is given by
( )12 n ktkt ktnT P Pe Pe Pe −= + + + + where
( )ln 2 .k H= − One time interval after the last dose is
administered is given by 2 3
1 .kt kt kt nktnT Pe Pe Pe Pe+ = + + + + Two time
intervals after the last dose is administered is given by ( )12 3 4
2n ktkt kt kt
nT Pe Pe Pe Pe ++ = + + + + and so
on. Because 0, 0n sk T +< → as ,s → ∞ where s is an integer.
142. The series is telescoping:
( )( )1 11
1
1 11
1
1 1
63 2 3 2
3 33 2 3 2
333 2
kn
n k k k kk
k kn
k k k kk
n
n n
S+ +
=
+
+ +=
+
+ +
=− −
⎡ ⎤= −⎢ ⎥− −⎣ ⎦
= −−
∑
∑
lim 3 1 2nn
S→∞
= − =
y
x12
1
12
y
x12
1
12
1
y
x12
12
1
1
Section 9.3 The Integral Test and p-Series 287
© 2010 Brooks/Cole, Cengage Learning
143. ( ) ( ) ( ) ( )1 0, 2 1, 3 2, 4 4,f f f f= = = = …
In general: ( ) ( )2
2
4, even
1 4, odd.
n nf n
n n
⎧⎪= ⎨−⎪⎩
(See below for a proof of this.) x y+ and x y− are either both odd or both even. If both even, then
( ) ( ) ( ) ( )2 2
.4 4
x y x yf x y f x y xy
+ −+ − − = − =
If both odd,
( ) ( ) ( ) ( )2 21 1.
4 4x y x y
f x y f x y xy+ − − −
+ − − = − =
Proof by induction that the formula for ( )f n is correct. It is true for 1.n = Assume that the formula is valid for k. If k is even,
then ( ) 2 4f k k= and
( ) ( ) ( )22 2 1 121 .2 4 2 4 4
kk k k k kf k f k+ −+
+ = + = + = =
The argument is similar if k is odd.
Section 9.3 The Integral Test and p-Series
1. 1
13n n
∞
= +∑
Let ( ) 1 .3
f xx
=+
f is positive, continuous, and decreasing for 1.x ≥
( ) 11
1 ln 33
dx xx
∞ ∞= ⎡ + ⎤ = ∞⎣ ⎦+∫
Diverges by Theorem 9.10
2. 1
23 5n n
∞
= +∑
Let ( ) 2 .3 5
f xx
=+
f is positive, continuous, and decreasing for 1.x ≥
( )1
1
2 2 ln 3 53 5 3
dx xx
∞∞ ⎡ ⎤= + = ∞⎢ ⎥+ ⎣ ⎦∫
Diverges by Theorem 9.10
3. 1
12n
n
∞
=∑
Let ( ) 1 .2xf x =
f is positive, continuous, and decreasing for 1.x ≥
( )1
1
1 1 12 ln 2 2 2 ln 2x xdx
∞∞ ⎡ ⎤−
= =⎢ ⎥⎢ ⎥⎣ ⎦
∫
Converges by Theorem 9.10.
4. 13 n
n
∞−
=∑
Let ( ) 1 .3xf x =
f is positive, continuous, and decreasing for 1.x ≥
( )1
1
1 1 13 ln 3 3 3 ln 3x xdx
∞∞ ⎡ ⎤−
= =⎢ ⎥⎢ ⎥⎣ ⎦
∫
Converges by Theorem 9.10.
5. 1
n
ne
∞−
=∑
Let ( ) .xf x e−=
f is positive, continuous, and decreasing for 1.x ≥
11
1x xe dx ee
∞ ∞− −⎡ ⎤= − =⎣ ⎦∫
Converges by Theorem 9.10
288 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
6. 2
1
n
nne
∞−
=∑
Let ( ) 2.xf x xe−=
f is positive, continuous, and decreasing for 3x ≥ since
( ) 22 02 x
xf xe−′ = < for 3.x ≥
( )2 2 3 233
2 2 10x xxe dx x e e∞ ∞− − −⎡ ⎤= − + =⎣ ⎦∫
Converges by Theorem 9.10
7. 21
11n n
∞
= +∑
Let ( ) 21 .
1f x
x=
+
f is positive, continuous, and decreasing for 1.x ≥
[ ]2 11
1 arctan1 4
dx xx
π∞ ∞= =+∫
Converges by Theorem 9.10
8. 1
12 1n n
∞
= +∑
Let ( ) 1 .2 1
f xx
=+
f is positive, continuous, and decreasing for 1.x ≥
1 1
1 ln 2 12 1
dx xx
∞∞ ⎡ ⎤= + = ∞⎣ ⎦+∫
Diverges by Theorem 9.10
9. ( )1
ln 11n
nn
∞
=
++∑
Let ( ) ( )ln 1.
1x
f xx
+=
+
f is positive, continuous, and decreasing for
2x ≥ because ( ) ( )( )2
1 ln 10
1
xf x
x
− +′ = <
+for 2.x ≥
( ) ( ) 2
11
ln 1ln 11 2
xxdx
x
∞
∞ ⎡ ⎤⎡ + ⎤+ ⎣ ⎦⎢ ⎥= = ∞⎢ ⎥+⎣ ⎦
∫
Diverges by Theorem 9.10
10. 2
ln
n
nn
∞
=∑
Let ( ) ( ) 3 2ln 2 ln, .
2x xf x f x
xx−′= =
f is positive, continuous, and decreasing for 2 7.4.x e> ≈
( )2 2
ln 2 ln 2 , divergesx dx x xx
∞∞ ⎡ ⎤= − = ∞⎣ ⎦∫
So, the series diverges by Theorem 9.10.
11. ( )1
11n n n
∞
= +∑
Let ( ) ( )1 ,
1f x
x x=
+
( )( )23 2
1 2 0.2 1
xf xx x
+′ = − <+
f is positive, continuous, and decreasing for 1.x ≥
( ) ( )1 1
1 2 ln 1 , diverges1
dx xx x
∞∞ ⎡ ⎤= + = ∞⎣ ⎦+∫
So, the series diverges by Theorem 9.10.
12. 21 3n
nn
∞
= +∑
Let ( ) 2 .3
xf xx
=+
( )f x is positive, continuous, and decreasing for
2x ≥ since
( ) ( )
2
2
221 1
3 0 for 2.3
ln 33
xf x xx
x dx xx
∞∞
−′ = < ≥+
⎡ ⎤= + = ∞⎣ ⎦+∫
Diverges by Theorem 9.10
13. 1
12n n
∞
= +∑
Let ( ) ( )( )3 2
1 1, 02 2 2
f x f xx x
−′= = <+ +
f is positive, continuous, and decreasing for 1.x ≥
( )1 21 1
1 2 2 , diverges.2
dx xx
∞∞ ⎡ ⎤= + = ∞⎣ ⎦+∫
So, the series diverges by Theorem 9.10.
Section 9.3 The Integral Test and p-Series 289
© 2010 Brooks/Cole, Cengage Learning
14. 32
ln
n
nn
∞
=∑
Let ( ) ( )3 4ln 1 3 ln, .x xf x f xx x
−′= =
f is positive, continuous, and decreasing for 2.x >
( )2 42
2
2 ln 1ln4
2 ln 2 1, converges16
xx dxx x
∞∞ ⎡ + ⎤
= −⎢ ⎥⎣ ⎦
+=
∫
So, the series converges by Theorem 9.10.
15. 21
ln
n
nn
∞
=∑
Let ( ) ( )2 3ln 1 2 ln, .x xf x f xx x
−′= =
f is positive, continuous, and decreasing for 1 2 1.6.x e> ≈
( )21
1
ln 1ln 1, convergesxx dx
x x
∞∞ ⎡− + ⎤
= =⎢ ⎥⎣ ⎦
∫
So, the series converges by Theorem 9.10.
16. 2
1lnn n n
∞
=∑
Let ( ) ( )( )3 22
1 2 ln 1, .ln 2 ln
xf x f xx x x x
+′= = −
f is positive, continuous, and decreasing for 2.x ≥
2 2
1 2 ln , divergesln
dx xx x
∞∞ ⎡ ⎤= = ∞⎣ ⎦∫
So, the series diverges by Theorem 9.10.
17. 21
arctan1n
nn
∞
= +∑
Let ( ) 2arctan ,
1xf x
x=
+
( )( )22
1 2 arctan 0 for 1.1
x xf x xx
−′ = < ≥+
f is positive, continuous, and decreasing for 1.x ≥
( )2 2
211
arctanarctan 3 , converges1 2 32
xx dxx
π∞
∞ ⎡ ⎤⎢ ⎥= =
+ ⎢ ⎥⎣ ⎦∫
So, the series converges by Theorem 9.10.
18. ( )3
1ln ln lnn n n n
∞
=∑
Let ( ) ( )1 ,
ln ln lnf x
x x x=
( ) ( ) ( )( ) ( )( )222
ln 1 ln ln 1.
ln ln ln
x xf x
x x x
−⎡ + + ⎤⎣ ⎦′ =
f is positive, continuous, and decreasing for 3.x ≥
( ) ( )( )
3 3
1 ln ln ln , divergesln ln ln
dx xx x x
∞ ∞⎡ ⎤= = ∞⎣ ⎦∫
So, the series diverges by Theorem 9.10.
19. ( )31
12 3n n
∞
= +∑
Let ( ) ( ) ( )( )
34
62 3 , 02 3
f x x f xx
− −′= + = <+
f is positive, continuous, and decreasing for 1.x ≥
( )( )
321
1
1 12 3 , converges.1004 2 3
x dxx
∞∞ − ⎡ ⎤−
⎢ ⎥+ = =⎢ ⎥+⎣ ⎦
∫
So, ( )31
12 3n n
∞
= +∑ converges by Theorem 9.10.
20. 1
21n
nn
∞
=
++∑
Let ( ) 2 11 ,1 1
xf xx x+
= = ++ +
( )( )2
1 01
f xx−′ = <+
f is positive, continuous, and decreasing for 1.x ≥
( ) 11
2 ln 1 diverges.1
x dx x xx
∞ ∞+= ⎡ + + ⎤⎣ ⎦+∫
So, 1
21n
nn
∞
=
++∑ diverges by Theorem 9.10.
[Note: 2lim 1 0,1n
nn→∞
+= ≠
+so the series diverges.]
21. 21
42 1n
nn
∞
= +∑
Let ( ) ( ) ( )( )
2
22 2
4 2 14 , 02 1 2 1
xxf x f xx x
− −′= = <
+ +
for 1x ≥
f is positive, continuous, and decreasing for 1.x ≥
( )221 1
4 ln 2 1 , diverges.2 1
x dx xx
∞∞ ⎡ ⎤= + = ∞⎣ ⎦+∫
So, 21
42 1n
nn
∞
= +∑ diverges by Theorem 9.10.
290 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
22. 41 1n
nn
∞
= +∑
Let ( ) ( )( )
4
24 4
1 3, 01 1
x xf x f xx x
−′= = <+ +
for 1.x >
f is positive, continuous, and decreasing for 1.x >
( )241
1
1 arctan , converges1 2 8
x dx xx
π∞∞ ⎡ ⎤= =⎢ ⎥+ ⎣ ⎦∫
So, the series converges by Theorem 9.10.
23. ( )3 2
1 4 5n
nn
∞
= +∑
Let ( )( )
( ) ( )( )3 2 5 2
2 5, 0
4 5 4 5
xxf x f xx x
− −′= = <
+ +for
3x ≥ f is positive, continuous, and decreasing for 3.x ≥
( )3 21
1
2 54 4 54 5
x xxx
∞∞ +⎡ ⎤= = ∞⎢ ⎥++ ⎣ ⎦∫
(Integration by parts: ( ) 3 2, 4 5u x dv x dx−= = + )
So, ( )3 2
1 4 5n
nn
∞
= +∑ diverges by Theorem 9.10.
24. ( )24 2 21 12 1 1n n
n nn n n
∞ ∞
= =
=+ + +
∑ ∑
Let ( )( )
( ) ( )( )
2
2 32 2
3 1, 0
1 1
xxf x f xx x
− −′= = <
+ +for
1x ≥ f is positive, continuous, and decreasing for 1x ≥
( ) ( )2 21 2
1
1 1, converges42 11
x dxxx
∞∞ ⎡ ⎤−⎢ ⎥= =
+⎢ ⎥+ ⎣ ⎦∫
So, 4 21 2 1n
nn n
∞
= + +∑ converges by Theorem 9.10.
25. 1
1
k
kn
nn c
−∞
= +∑
Let ( )1
.k
kxf x
x c
−
=+
f is positive, continuous, and decreasing for ( )1kx c k> − because
( )( )
( )
2
2
10
k k
k
x c k xf x
x c
− ⎡ ⎤− −⎣ ⎦′ = <+
for ( )1 .kx c k> −
( )1
11
1 lnk
kkx dx x c
x c k
∞−∞ ⎡ ⎤= + = ∞⎢ ⎥+ ⎣ ⎦∫
Diverges by Theorem 9.10
26. 1
k n
nn e
∞−
=∑
Let ( ) .k
xxf xe
=
f is positive, continuous, and decreasing for x k> because
( ) ( )1
0k
x
x k xf x
e
− −′ = < for .x k>
Use integration by parts.
( )
111 1
11 !
k x k x k xx e dx x e k x e dx
k kk ke e e e
∞ ∞∞− − − −⎡ ⎤= − +⎣ ⎦
−= + + + +
∫ ∫
Converges by Theorem 9.10
27. Let ( ) ( ) ( )1, .
x
nf x f n ax−
= =
The function f is not positive for 1.x ≥
28. Let ( ) ( )cos , .xnf x e x f n a−= =
The function f is not positive for 1.x ≥
29. Let ( ) ( )2 sin , .nxf x f n a
x+
= =
The function f is not decreasing for 1.x ≥
30. Let ( ) ( )2sin , .n
xf x f n ax
⎛ ⎞= =⎜ ⎟⎝ ⎠
The function f is not decreasing for 1.x ≥
31. 31
1
n n
∞
=∑
Let ( ) 31 .f xx
=
f is positive, continuous, and decreasing for 1.x ≥
3 211
1 1 12 2
dxx x
∞∞ ⎡ ⎤= − =⎢ ⎥⎣ ⎦∫
Converges by Theorem 9.10
32. 1 31
1
n n
∞
=∑
Let ( ) 1 31 .f x
x=
f is positive, continuous, and decreasing for 1.x ≥
2 31 31
1
1 32
dx xx
∞∞ ⎡ ⎤= = ∞⎢ ⎥⎣ ⎦∫
Diverges by Theorem 9.10
Section 9.3 The Integral Test and p-Series 291
© 2010 Brooks/Cole, Cengage Learning
33. Let ( ) ( )1 4 5 41 1, 0
4f x f x
x x−′= = < for 1x ≥
f is positive, continuous, and decreasing for 1x ≥
3 4
1 411
1 4 , diverges3xdx
x
∞∞ ⎡ ⎤
= = ∞⎢ ⎥⎣ ⎦
∫
So, the series diverges by Theorem 9.10.
34. Let ( ) ( )4 51 4, 0f x f xx x
−′= = < for 1x ≥
f is positive, continuous, and decreasing for 1x ≥
4 311
1 1 1, converges3 3
dxx x
∞∞ −⎡ ⎤= =⎢ ⎥⎣ ⎦∫
So, 41
1
n n
∞
=∑ converges by Theorem 9.10.
35. 1 551 1
1 1
n n nn
∞ ∞
= =
=∑ ∑
Divergent p-series with 1 15
p = <
36. 5 31
3
n n
∞
=∑
Convergent p-series with 5 13
p = >
37. 1 21
1
n n
∞
=∑
Divergent p-series with 1 12
p = <
38. 21
1
n n
∞
=∑
Convergent p-series with 2 1p = >
39. 3 21
1
n n
∞
=∑
Convergent p-series with 3 12
p = >
40. 2 31
1
n n
∞
=∑
Divergent p-series with 2 13
p = <
41. 1.041
1
n n
∞
=∑
Convergent p-series with 1.04 1p = >
42. 1
1
n nπ∞
=∑
Convergent p-series with 1p π= >
43. 3 41
2
n n
∞
=∑
1
2
3
4
23.18924.06664.7740
SSSS
=
≈
≈
≈
Matches (c), diverges
44. 1
2
n n
∞
=∑
1
2
3
4
233.66674.1667
SSSS
=
=
≈
≈
Matches (f), diverges
45. 21 1
2 2
n n nn ππ
∞ ∞
= =
=∑ ∑
1
2
3
4
22.67323.02933.2560
SSSS
=
≈
≈
≈
Matches (b), converges Note: The partial sums for 45 and 47 are very similar
because 2 3 2.π ≈
46. 2 51
2
n n
∞
=∑
1
2
3
23.51574.8045
SSS
=
≈
≈
Matches (a), diverges
47. 3 21 1
2 2
n n nn n
∞ ∞
= =
=∑ ∑
1
2
3
4
22.70713.09203.3420
SSSS
=
≈
≈
≈
Matches (d), converges Note: The partial sums for 45 and 47 are very similar
because 2 3 2.π ≈
292 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
48. 21
2
n n
∞
=∑
1
2
3
22.52.7222
SSS
=
=
≈
Matches (e), converges
49. (a)
The partial sums approach the sum 3.75 very rapidly.
(b)
The partial sums approach the sum 2 6 1.6449π ≈ slower than the series in part (a).
50. 1
1 1 1 1 112 3 4
N
nM
n N=
= + + + + + >∑
(a) (b) No. Because the terms are decreasing (approaching
zero), more and more terms are required to increase the partial sum by 2.
51. Let f be positive, continuous, and decreasing for 1x ≥ and ( ).na f n= Then,
( )1
1andn
na f x dx
∞ ∞
=∑ ∫
either both converge or both diverge (Theorem 9.10). See Example 1, page 620.
52. A series of the form 1
1p
n n
∞
=∑ is a p-series, 0.p >
The p-series converges if 1p > and diverges if 0 1.p< ≤
53. Your friend is not correct. The series
10,000
1 1 110,000 10,001n n
∞
=
= + +∑
is the harmonic series, starting with the 10,000th term, and therefore diverges.
54. No. Theorem 9.9 says that if the series converges, then the terms na tend to zero. Some of the series in Exercises 43–48 converge because the terms tend to 0 very rapidly.
55. ( )6 77
11 2
n nn n
a f x dx a= =
≥ ≥∑ ∑∫
n 5 10 20 50 100
nS 3.7488 3.75 3.75 3.75 3.75
n 5 10 20 50 100
nS 1.4636 1.5498 1.5962 1.6251 1.635
110
0
11
120
0
8
M 2 4 6 8
N 4 31 227 1674
1 2 3 4 5 6 7
1
x
y
Section 9.3 The Integral Test and p-Series 293
© 2010 Brooks/Cole, Cengage Learning
56. (a)
1
1
1 1
ndx
n x
∞ ∞
=
>∑ ∫
The area under the rectangle is greater than the area under the curve.
Because 1 1
1 2 , diverges,dx xx
∞∞ ⎡ ⎤= = ∞⎣ ⎦∫1
1
n n
∞
=∑ diverges.
(b)
2 212
1 1
ndx
n x
∞ ∞
=
<∑ ∫
The area under the rectangles is less than the area under the curve.
Because 211
1 1 1, converges,dxx x
∞∞ ⎡ ⎤= − =⎢ ⎥⎣ ⎦∫
2 22 1
1 1 converges and so does .n nn n
∞ ∞
= =
⎛ ⎞⎜ ⎟⎝ ⎠
∑ ∑
57. ( )2
1ln p
n n n
∞
=∑
If 1,p = then the series diverges by the Integral Test. If 1,p ≠
( )
( ) ( ) 1
2 22
ln1 1ln .1ln
pp
p
xdx x dx
x px x
∞− +∞ ∞ − ⎡ ⎤
⎢ ⎥= =− +⎢ ⎥⎣ ⎦
∫ ∫
Converges for 1 0p− + < or 1p >
58. 2
lnp
n
nn
∞
=∑
If 1,p = then the series diverges by the Integral Test. If 1,p ≠
( )
( )1
22 22
ln ln 1 1 ln .1
pp
px xdx x x dx p x
x p
∞− +∞ ∞ −
⎡ ⎤⎢ ⎥= = ⎡− + − + ⎤⎣ ⎦⎢ ⎥− +⎣ ⎦
∫ ∫ (Use integration by parts.)
Converges for 1 0p− + < or 1p >
1 2 3 4
1
x
y
1 2 3 4
1
x
y
294 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
59. ( )21 1
pn
n
n
∞
= +∑
If 21
1,1n
npn
∞
=
=+∑ diverges (see Example 1). Let
( )( )
( ) ( )( )
2
2
12
, 11
1 2 1.
1
p
p
xf x px
p xf x
x+
= ≠+
− −′ =
+
For a fixed ( )0, 1,p p f x′> ≠ is eventually negative. f
is positive, continuous, and eventually decreasing.
( ) ( ) ( )
11 2 21
1
1 1 2 2p p
x dxx x p
∞
∞
−
⎡ ⎤⎢ ⎥=⎢ ⎥+ + −⎣ ⎦
∫
For 1,p > this integral converges. For 0 1,p< < it diverges.
60. ( )2
11
p
nn n
∞
=
+∑
Because 0,p > the series diverges for all values of p.
61. 1 1
1 1 ,n
nn np p
∞ ∞
= =
⎛ ⎞= ⎜ ⎟
⎝ ⎠∑ ∑ Geometric series.
Converges for 1 1 1pp
< ⇒ >
62. ( )3
1
ln ln lnp
n n n n
∞
= ⎡ ⎤⎣ ⎦∑
If 1,p = then
( ) ( )( )3 3
1 ln ln ln ,ln ln ln
dx xx x x
∞ ∞⎡ ⎤= = ∞⎣ ⎦⎡ ⎤⎣ ⎦
∫ so the
series diverges by the Integral Test If 1,p ≠
( )
( ) 1
33
ln ln1 .1ln ln ln
p
p
xdx
px x x
∞− +∞ ⎡ ⎤⎡ ⎤⎣ ⎦⎢ ⎥=
⎢ ⎥− +⎡ ⎤⎣ ⎦ ⎣ ⎦∫
This converges for 1 0 1.p p− + < ⇒ >
So, the series converges for 1,p > and diverges for 0 1.p< ≤
63. ( )2
1ln p
n n n
∞
=∑ converges for 1.p >
So, 2
1 ,lnn n n
∞
=∑ diverges.
64. ( )2
1ln p
n n n
∞
=∑ converges for 1.p >
So, ( ) ( )2 3232 2
1 1 ,lnlnn n n nn n
∞ ∞
= =
=∑ ∑ diverges.
65. ( )2
1ln p
n n n
∞
=∑ converges for 1.p >
So, ( )2
2
1 ,lnn n n
∞
=∑ converges.
66. ( )2
1ln p
n n n
∞
=∑ converges for 1.p >
So, ( ) ( )2
2 2 2
1 1 1 1 , diverges2 ln 2 lnlnn n nn n n nn n
∞ ∞ ∞
= = =
= =∑ ∑ ∑
67.
1 2
1
10
N
N n Nn
N N nn N
S a a a a
R S S a
=
∞
= +
= = + + +
= − = >
∑
∑
( )
1 21
N N n N Nn N
N
R S S a a a
f x dx
∞
+ += +
∞
= − = = + +
≤
∑
∫
So, ( )0 n NR f x dx
∞≤ ≤ ∫
68. From Exercise 67, you have:
( )
( )
( )1 1
0 N N
N N N
N N
n n Nn n
S S f x dx
S S S f x dx
a S a f x dx
∞
∞
∞
= =
≤ − ≤
≤ ≤ +
≤ ≤ +
∫
∫
∑ ∑ ∫
69. 6 4 4 4 4 4
6 4 366
41
1 1 1 1 11 1.08112 3 4 5 6
1 1 0.00153
11.0811 1.0811 0.0015 1.0826n
S
R dxx x
n
∞∞
∞
=
= + + + + + ≈
⎡ ⎤≤ = − ≈⎢ ⎥⎣ ⎦
≤ ≤ + =
∫
∑
1 2 N N + 1
1
f(1) = a1
f(2) = a2
f(N + 1) = aN + 1
f(N) = aN
x
y
...
Section 9.3 The Integral Test and p-Series 295
© 2010 Brooks/Cole, Cengage Learning
70. 4 5 5 5
4 5 444
51
1 1 11 1.03632 3 4
1 1 0.00104
11.0363 1.0363 0.0010 1.0373n
S
R dxx x
n
∞∞
∞
=
= + + + ≈
⎡ ⎤≤ = − ≈⎢ ⎥⎣ ⎦
≤ ≤ + =
∫
∑
71.
[ ]
10
10 2 1010
21
1 1 1 1 1 1 1 1 1 1 0.98182 5 10 17 26 37 50 65 82 101
1 arctan arctan 10 0.09971 210.9818 0.9818 0.0997 1.0815
1n
S
R dx xx
n
π∞ ∞
∞
=
= + + + + + + + + + ≈
≤ = = − ≈+
≤ ≤ + =+
∫
∑
72. ( ) ( ) ( ) ( )
( ) ( ) ( ) ( )
( ) ( )
10 3 3 3 3
10 3 2 31010
31
1 1 1 1 1.98212 ln 2 3 ln 3 4 ln 4 11 ln 11
1 1 1 0.08702 ln 111 ln 1 2 ln 1
11.9821 1.9821 0.0870 2.06911 ln 1n
S
R dxx x x
n n
∞
∞
∞
=
= + + + + ≈
⎡ ⎤⎢ ⎥≤ = − = ≈⎢ ⎥+ ⎡ + ⎤ ⎡ + ⎤⎣ ⎦ ⎣ ⎦⎣ ⎦
≤ ≤ + =+ ⎡ + ⎤⎣ ⎦
∫
∑
73. 4 4 9 16
162 2 84 4
4
2 8
1
1 2 3 4 0.4049
1 5.6 102 2
0.4049 0.4049 5.6 10
x x
n
n
Se e e e
eR xe dx e
ne
∞ −∞ − − −
∞− −
=
= + + + ≈
⎡ ⎤≤ = − = ≈ ×⎢ ⎥⎣ ⎦
≤ ≤ + ×
∫
∑
74. 4 2 3 4
4 44
0
1 1 1 1 0.5713
0.0183
0.5713 0.5713 0.0183 0.5896
x x
n
n
Se e e e
R e dx e
e
∞ ∞− −
∞−
=
= + + + ≈
⎡ ⎤≤ = − ≈⎣ ⎦
≤ ≤ + =
∫
∑
75. 4 3 31 1 10 0.001
3 3N NN
R dxx x N
∞∞ ⎡ ⎤≤ ≤ = − = <⎢ ⎥⎣ ⎦∫
3
3
1 0.003
333.336.937
NNNN
<
>
>
≥
76. 3 2 1 21 2 20 0.001N N
NR dx
x x N
∞∞ ⎡ ⎤≤ ≤ = − = <⎢ ⎥⎣ ⎦∫
1 2 0.0005
20004,000,000
N
NN
− <
>
≥
77. 5
5 51 0.0015 5
Nx x
N NN
eR e dx e∞ −∞ − −⎡ ⎤≤ = − = <⎢ ⎥⎣ ⎦∫
5
5
1 0.005
2005 ln 200
ln 2005
1.05972
N
N
ee
N
N
NN
<
>
>
>
>
≥
78. 2 22
22 0.001x xN NNN
R e dx ee
∞ ∞− −⎡ ⎤≤ = − = <⎣ ⎦∫
2
2
2 0.001
2000
ln 20002
2 ln 2000 15.216
N
N
ee
N
NN
<
>
>
> ≈
≥
296 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
79. [ ]21 arctan
1
arctan 0.0012
N NNR dx x
x
Nπ
∞ ∞≤ =+
= − <
∫
arctan 0.0012
arctan 0.0012
tan 0.0012
1000
N
N
N
N
π
π
π
− < −
> −
⎛ ⎞> −⎜ ⎟⎝ ⎠
≥
80. 22 12 arctan
5 5 5
2 arctan 0.00125 5
n NN
xR dxx
Nπ
∞∞ ⎡ ⎤⎛ ⎞≤ = ⎢ ⎥⎜ ⎟+ ⎝ ⎠⎣ ⎦
⎛ ⎞⎛ ⎞= − <⎜ ⎟⎜ ⎟⎝ ⎠⎝ ⎠
∫
arctan 0.0005 52 5
arctan 0.0005 525
arctan 0.0005 525
5 tan 0.0005 52
1000
N
N
N
N
N
π
π
π
π
⎛ ⎞− <⎜ ⎟
⎝ ⎠
⎛ ⎞− < −⎜ ⎟⎝ ⎠
⎛ ⎞ > −⎜ ⎟⎝ ⎠
⎛ ⎞> −⎜ ⎟⎝ ⎠
≥
81. (a) 1.12
1 .n n
∞
=∑ This is a convergent p-series with
2
11.1 1.lnn
pn n
∞
=
= > ∑ is a divergent series. Use the Integral Test.
( ) 1ln
f xx x
= is positive, continuous, and decreasing for 2.x ≥
22
1 ln lnln
dx xx x
∞ ∞⎡ ⎤= = ∞⎣ ⎦∫
(b) 6
1.1 1.1 1.1 1.1 1.1 1.12
6
2
1 1 1 1 1 1 0.4665 0.2987 0.2176 0.1703 0.13932 3 4 5 6
1 1 1 1 1 1 0.7213 0.3034 0.1803 0.1243 0.0930ln 2 ln 2 3 ln 3 4 ln 4 5 ln 5 6 ln 6
n
n
n
n n
=
=
= + + + + ≈ + + + +
= + + + + ≈ + + + +
∑
∑
For 4,n ≥ the terms of the convergent series seem to be larger than those of the divergent series.
(c) 1.1
1.1
0.1
1 1ln
ln
ln
n n n
n n n
n n
<
<
<
This inequality holds when 153.5 10 .n ≥ × Or, 40.n e> Then ( )0.140 40 4ln 40 55.e e e= < = ≈
82. (a) ( )
1
11010
1 1 , 11 1 10
p
p pxdx p
x p p
∞− +∞
−
⎡ ⎤= = >⎢ ⎥− + −⎣ ⎦
∫
(b) ( ) 1pf x
x=
( )
[ )
1011
1
Area under the graph of over the interval 10,
pn
R pn
f
∞
=
=
≤ ∞
∑
(c) The horizontal asymptote is 0.y = As n increases, the error decreases.
Section 9.3 The Integral Test and p-Series 297
© 2010 Brooks/Cole, Cengage Learning
83. (a) Let ( ) 1 .f x x= f is positive, continuous, and decreasing on [ )1, .∞
1
11
1 ln
nn
n
S dxx
S n
− ≤
− ≤
∫
So, 1 ln .nS n≤ + Similarly,
( )1
1
1 ln 1 .n
nS dx nx
+≥ = +∫
So, ( )ln 1 1 ln .nn S n+ ≤ ≤ +
(b) Because ( )ln 1 1 ln ,nn S n+ ≤ ≤ + you have ( )ln 1 ln ln 1.nn n S n+ − ≤ − ≤ Also, because ln x is an increasing
function, ( )ln 1 ln 0n n+ − > for 1.n ≥ So, 0 ln 1nS n≤ − ≤ and the sequence { }na is bounded.
(c) [ ] ( )1
1 11 1ln ln 1 0
1n
n n n n na a S n S n dx
x n+
+ +− = − − ⎡ − + ⎤ = − ≥⎣ ⎦ +∫
So, 1n na a +≥ and the sequence is decreasing.
(d) Because the sequence is bounded and monotonic, it converges to a limit, .γ
(e) ( )100 100 ln 100 0.5822 Actually 0.577216.a S γ= − ≈ ≈
84. ( )( ) ( ) ( )2
2 2 22 2 2 2
1 11 1ln 1 ln ln ln 1 ln 1 2 ln
ln 3
n n n n
n nn n n nn n n
∞ ∞ ∞ ∞
= = = =
+ −⎛ ⎞−⎛ ⎞− = = = ⎡ + + − − ⎤⎜ ⎟⎜ ⎟ ⎣ ⎦⎝ ⎠ ⎝ ⎠
=
∑ ∑ ∑ ∑
ln 1+( )2 ln 2 ln 4− + ln 2 2 ln 3+ −( ) ln 5+ ln 3+ 2 ln 4−( ) ln 6+ ln 4+ 2 ln 5−( )ln 7+ ln 5+ 2 ln 6−( ) ln 8+ ln 6+ 2 ln 7−( ) ln 9+ ln 7+ 2 ln 8−( ) ln 2+ = −
85. ln
2
n
nx
∞
=∑
(a) ln
2 21: 1 1, divergesn
n nx
∞ ∞
= =
= =∑ ∑
(b) ln
ln
2 2 2
1 1 1: , divergesn
n
n n nx e
e e n
∞ ∞ ∞−
= = =
⎛ ⎞= = =⎜ ⎟⎝ ⎠
∑ ∑ ∑
(c) Let x be given, 0.x > Put ln .px e x p−= ⇔ = −
ln ln
2 2 2 2
1n p n pp
n n n nx e n
n
∞ ∞ ∞ ∞− −
= = = =
= = =∑ ∑ ∑ ∑
This series converges for 11 .p xe
> ⇒ <
86. ( )1 1
1xx
n nx n
nξ
∞ ∞−
= =
= =∑ ∑
Converges for 1x > by Theorem 9.11
1 2 3 ...n−1
n n+1x
1
12
y
298 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
87. Let ( ) ( )( )2
1 3, 03 2 3 2
f x f xx x
−′= = <− −
for 1x ≥
f is positive, continuous, and decreasing for 1.x ≥
1
1
1 1 ln 3 23 2 3
dx xx
∞∞ ⎡ ⎤= − = ∞⎢ ⎥− ⎣ ⎦∫
So, the series 1
13 2n n
∞
= −∑
diverges by Theorem 9.10.
88. 2
2
11n n n
∞
= −∑
Let ( )2
1 .1
f xx x
=−
f is positive, continuous, and decreasing for 2.x ≥
[ ]22 2
1 arcsec2 31
dx xx x
π π∞ ∞= = −−
∫
Converges by Theorem 9.10
89. 5 441 1
1 1
n n nn n
∞ ∞
= =
=∑ ∑
p-series with 54
p =
Converges by Theorem 9.11
90. 0.951
13n n
∞
=∑
p-series with 0.95p =
Diverges by Theorem 9.11
91. ( )0
23
n
n
∞
=∑
Geometric series with 23r =
Converges by Theorem 9.6
92. ( )0
1.042 n
n
∞
=∑ is geometric with 1.042 1.r = > Diverges
by Theorem 9.6.
93. 2
1 1n
nn
∞
= +∑
( )2 2
1lim lim 1 01 1 1n n
nn n→∞ →∞
= = ≠+ +
Diverges by Theorem 9.9
94. 2 3 2 31 1 1
1 1 1 1
n n nn n n n
∞ ∞ ∞
= = =
⎛ ⎞− = −⎜ ⎟⎝ ⎠
∑ ∑ ∑
Because these are both convergent p-series, the difference is convergent.
95. 1
11n
n n
∞
=
⎛ ⎞+⎜ ⎟⎝ ⎠
∑
1lim 1 0n
ne
n→∞
⎛ ⎞+ = ≠⎜ ⎟⎝ ⎠
Fails nth-Term Test Diverges by Theorem 9.9
96. ( )2
lnn
n∞
=∑
( )lim lnn
n→∞
= ∞
Diverges by Theorem 9.9
97. ( )32
1lnn n n
∞
=∑
Let ( )( )3
1 .ln
f xx x
=
f is positive, continuous, and decreasing for 2.x ≥
( )
( )
( )
( ) ( )
332 2
2
2
2 2
2
1 1lnln
ln2
1 12 ln 2 ln 2
dx x dxxx x
x
x
∞ ∞ −
∞−
∞
=
⎡ ⎤= ⎢ ⎥
−⎢ ⎥⎣ ⎦
⎡ ⎤= ⎢− ⎥ =⎢ ⎥⎣ ⎦
∫ ∫
Converges by Theorem 9.10. See Exercise 57.
98. 32
ln
n
nn
∞
=∑
Let ( ) 3ln .xf xx
=
f is positive, continuous, and decreasing for 2x ≥ since
( ) 41 3 ln 0xf x
x−′ = < for 2.x ≥
( )
3 2 32 22
22
ln ln 1 12 2
ln 2 18 4
ln 2 1 Use integration by parts.8 16
x xdx dxx x x
x
∞∞ ∞
∞
⎡ ⎤= − +⎢ ⎥⎣ ⎦
⎡ ⎤= + −⎢ ⎥⎣ ⎦
= +
∫ ∫
Converges by Theorem 9.10. See Exercise 36.
Section 9.4 Comparisons of Series 299
© 2010 Brooks/Cole, Cengage Learning
Section 9.4 Comparisons of Series
1. (a) 13 2 3 21
13 2 3 21
121
6 6 6 ; 61 2
6 6 6 3;3 4 2 3 2
6 6 6 6; 4.91 1.5 2 4.5 1.50.5
n
n
n
Sn
Sn
Sn n
∞
=
∞
=
∞
=
= + + =
= + + =+ +
= + + = ≈+
∑
∑
∑
(b) The first series is a p-series. It converges 3 1 .2
p⎛ ⎞= >⎜ ⎟⎝ ⎠
(c) The magnitude of the terms of the other two series are less than the corresponding terms at the convergent p-series. So, the other two series converge.
(d) The smaller the magnitude of the terms, the smaller the magnitude of the terms of the sequence of partial sums.
2. (a) 11
11
11
2 22 22
2 2 2 40.50.5 2 0.5
4 4 4 3.30.5 1.5 2.5
n
n
n
Sn
Sn
Sn
∞
=
∞
=
∞
=
= + + =
= + + =− −
= + + ≈+
∑
∑
∑
(b) The first series is a p-series. It diverges 1 1 .2
p⎛ ⎞= <⎜ ⎟⎝ ⎠
(c) The magnitude of the terms of the other two series are greater than the corresponding terms of the divergent p-series. So, the other two series diverge.
(d) The larger the magnitude of the terms, the larger the magnitude of the terms of the sequence of partial sums.
3. 2 21 10
1n n< <
+
Therefore,
21
11n n
∞
= +∑
converges by comparison with the convergent p-series
21
1 .n n
∞
=∑
4. 2 21 1
3 2 3n n<
+
Therefore,
21
13 2n n
∞
= +∑
converges by comparison with the convergent p-series
21
1 1 .3n n
∞
=∑
n
2
1
2
4
3
4
6
5
6 8 10
6n3/2
6n2 + 0.5
an =
6n3/2 + 3
an =
an =n
an
n
2
2
4
4
6
6 8
8
10
10
12
Σk = 1
n
Σk = 1
n
Σ 6k2 + 0.5kk = 1
n
Sn6
k3/2
6k3/2 + 3
n
2
2
4
4 6 8 10
1
3an =
n + 0.54
an =n − 0.5
2
an = 2n
an
n4
4
8
8
10
12
16
20
62
n + 0.54
2n
n − 0.52Σ
Σ
Σ
Sn
300 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
5. 1 1 02 1 2n n
> >−
for 1n ≥
Therefore,
1
12 1n n
∞
= −∑
diverges by comparison with the divergent p-series 1
1 1.2 n n
∞
=∑
6. 1 11n n>
−for 2n ≥
Therefore,
2
11n n
∞
= −∑
diverges by comparison with the divergent p-series
2
1 .n n
∞
=∑
7. 1 14 1 4n n<
+
Therefore,
0
14 1n
n
∞
= +∑
converges by comparison with the convergent geometric series
0
1 .4n
n
∞
=∑
8. 4 45 3 5
nn
n⎛ ⎞< ⎜ ⎟+ ⎝ ⎠
Therefore,
0
45 3
n
nn
∞
= +∑
converges by comparison with the convergent geometric series
0
4 .5
n
n
∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
∑
9. For ln 13, 0.1 1
nnn n
≥ > >+ +
Therefore,
1
ln1n
nn
∞
= +∑
diverges by comparison with the divergent series
1
1 .1n n
∞
= +∑
Note: 1
11n n
∞
= +∑ diverges by the Integral Test.
10. 3 23
1 11 nn<
+
Therefore,
3
1
11n n
∞
= +∑
converges by comparison with the convergent p-series
3 21
1 .n n
∞
=∑
11. For 21 13, 0.
!n
n n> > >
Therefore,
0
1!n n
∞
=∑
converges by comparison with the convergent p-series
21
1 .n n
∞
=∑
12. 3 4
1 14 1 4n n
>−
Therefore,
3
1
14 1n n
∞
= −∑
diverges by comparison with the divergent p-series
4
1
1 1 .4 n n
∞
=∑
13. 21 10 nn ee
< ≤
Therefore,
20
1nn e
∞
=∑
converges by comparison with the convergent geometric series
0
1 .n
n e
∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
∑
14. 3 32 1 2
nn
n⎛ ⎞> ⎜ ⎟− ⎝ ⎠
for 1n ≥
Therefore,
1
32 1
n
nn
∞
= −∑
diverges by comparison with the divergent geometric series
1
3 .2
n
n
∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
∑
Section 9.4 Comparisons of Series 301
© 2010 Brooks/Cole, Cengage Learning
15. ( )2 2
2
1lim lim 1
1 1n n
n n nn n→∞ →∞
+= =
+
Therefore,
21 1n
nn
∞
= +∑
diverges by a limit comparison with the divergent p-series
1
1.n n
∞
=∑
16. ( )5 4 1 5 4lim lim 51 4 4 1
n n
n nn n→∞ →∞
+ ⋅= =
+
Therefore,
1
54 1n
n
∞
= +∑
converges by a limit comparison with the convergent geometric series
1
1 .4
n
n
∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
∑
17. 2
2
1 1lim lim 11 1n n
n nn n→∞ →∞
+= =
+
Therefore,
2
0
11n n
∞
= +∑
diverges by a limit comparison with the divergent p-series
1
1.n n
∞
=∑
18. ( ) ( )
( )2 1 5 1 2 1 5lim lim 1
5 1 22 5
n n n n
n n nn n→∞ →∞
+ + += ⋅ =
+
Therefore,
1
2 15 1
n
nn
∞
=
++∑
converges by a limit comparison with the convergent geometric series
1
2 .5
n
n
∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
∑
19.
2
5 35
3 5
2 12 23 2 1lim lim
1 3 2 1 3n n
nn nn n
n n n→∞ →∞
−−+ + = =
+ +
Therefore,
2
51
2 13 2 1n
nn n
∞
=
−+ +∑
converges by a limit comparison with the convergent p-series
31
1 .n n
∞
=∑
20. ( ) ( )3 2
2 3
5 2 3 5lim lim1 2 3 1
1
n n
n n n n nn n n→∞ →∞
+ − + ⎛ ⎞+⎛ ⎞= ⎜ ⎟⎜ ⎟− +⎝ ⎠⎝ ⎠=
Therefore,
31
52 3n
nn n
∞
=
+− +∑
converges by a limit comparison with the convergent p-series
21
1 .n n
∞
=∑
21. ( ) ( ) ( )
( )2 2
2 2
3 4 3lim lim 1
1 4n n
n n n n nn n n→∞ →∞
+ + += =
+
Therefore,
( )2
1
34n
nn n
∞
=
++
∑
converges by a limit comparison with the convergent p-series
21
1 .n n
∞
=∑
22. ( )( )
2 3
3 2
1 3lim lim 1
1 3n n
n n nn n n→∞ →∞
+= =
+
Therefore,
( )2
1
13n n n
∞
= +∑
converges by a limit comparison with the convergent p-series
31
1 .n n
∞
=∑
23. ( )2
2
2 2
1 1lim lim 1
1 1n n
n n nn n n→∞ →∞
+= =
+
Therefore,
2
1
11n n n
∞
= +∑
converges by a limit comparison with the convergent p-series
21
1 .n n
∞
=∑
302 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
24. ( )( )
1
1
1 2lim lim 1
11 2
n
nn n
n n nn
−
−→∞ →∞
⎡ ⎤+⎣ ⎦ = =+
Therefore,
( ) 1
1 1 2nn
nn
∞
−= +∑
converges by a limit comparison with the convergent geometric series
1
1
1 .2
n
n
−∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
∑
25. ( ) ( )1 1
lim lim 11 1
k k k
kn n
n n nn n
−
→∞ →∞
+= =
+
Therefore,
1
1 1
k
kn
nn
−∞
= +∑
diverges by a limit comparison with the divergent p-series
1
1.n n
∞
=∑
26. ( )2
2
5 4 5 5lim lim1 24n n
n n nn n n→∞ →∞
+ += =
+ +
Therefore,
2
1
54n n n
∞
= + +∑
diverges by a limit comparison with the divergent harmonic series
1
1.n n
∞
=∑
27. ( ) ( ) ( )2
2
1 cos 1sin 1 1lim lim lim cos 11 1n n n
n nnn n n→∞ →∞ →∞
− ⎛ ⎞= = =⎜ ⎟− ⎝ ⎠
Therefore,
1
1sinn n
∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
∑
diverges by a limit comparison with the divergent p-series
1
1.n n
∞
=∑
28. ( ) ( ) ( )2 2
2
2
1 sec 1tan 1lim lim
1 1
1lim sec 1
n n
n
n nnn n
n
→∞ →∞
→∞
−=
−
⎛ ⎞= =⎜ ⎟⎝ ⎠
Therefore,
1
1tann n
∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
∑
diverges by a limit comparison with the divergent p-series
1
1.n n
∞
=∑
29. 1 3
2 31 1
1
n n
nn n
∞ ∞
= =
=∑ ∑
Diverges;
p-series with 23
p =
30. 0
177
n
n
∞
=
⎛ ⎞−⎜ ⎟⎝ ⎠
∑
Converges;
Geometric series with 17
r = −
31. 1
15 1n
n
∞
= +∑
Converges; Direct comparison with convergent geometric series
1
15
n
n
∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
∑
32. 33
18n n
∞
= −∑
Converges; limit comparison with 33
1
n n
∞
=∑
33. 1
23 2n
nn
∞
= −∑
Diverges; nth-Term Test
2 2lim 03 2 3n
nn→∞
= ≠−
34. 1
1 1 1 1 1 1 1 1 11 2 2 3 3 4 4 5 2n n n
∞
=
⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞− = − + − + − + =⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟+ +⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠∑
Converges; telescoping series
35. ( )221 1n
n
n
∞
= +∑
Converges; Integral Test
Section 9.4 Comparisons of Series 303
© 2010 Brooks/Cole, Cengage Learning
36. ( )1
33n n n
∞
= +∑
Converges; telescoping series
1
1 13n n n
∞
=
⎛ ⎞−⎜ ⎟+⎝ ⎠∑
37. lim lim .1
nn
n n
a nan→∞ →∞= By given conditions lim n
nna
→∞is
finite and nonzero. Therefore,
1
nn
a∞
=∑
diverges by a limit comparison with the p-series
1
1.n n
∞
=∑
38. If 1,j k< − then 1.k j− > The p-series with p k j= − converges and because
( ) ( )lim 0,1 k jn
P n Q nL
n −→∞= > the series ( )
( )1n
P nQ n
∞
=∑
converges by the Limit Comparison Test. Similarly, if 1,j k≥ − then 1k j− ≤ which implies that
( )( )1n
P nQ n
∞
=∑
diverges by the Limit Comparison Test.
39. 21
1 2 3 4 5 ,2 5 10 17 26 1n
nn
∞
=
+ + + + + =+∑
which diverges because the degree of the numerator is only one less than the degree of the denominator.
40. 22
1 1 1 1 1 1 ,3 8 15 24 35 1n n
∞
=
+ + + + + =−∑
which converges because the degree of the numerator is two less than the degree of the denominator.
41. 31
11n n
∞
= +∑
converges because the degree of the numerator is three less than the degree of the denominator.
42. 2
31 1n
nn
∞
= +∑
diverges because the degree of the numerator is only one less than the degree of the denominator.
43. 3 4
4 41lim lim 0
5 3 5 3 5n n
n nnn n→∞ →∞
⎛ ⎞= = ≠⎜ ⎟+ +⎝ ⎠
Therefore, 3
41 5 3n
nn
∞
= +∑ diverges.
44. 1lim lim lim 0ln 1n n n
n nn n→∞ →∞ →∞= = = ∞ ≠
Therefore, 2
1lnn n
∞
=∑ diverges.
45. 1
1 1 1 1200 400 600 200n n
∞
=
+ + + = ∑
diverges, (harmonic)
46. 0
1 1 1 1200 210 220 200 10n n
∞
=
+ + + =+∑
diverges
47. 21
1 1 1 1 1201 204 209 216 200n n
∞
=
+ + + =+∑
converges
48. 31
1 1 1 1 1201 208 227 264 200n n
∞
=
+ + + + =+∑
converges
49. Some series diverge or converge very slowly. You cannot decide convergence or divergence of a series by comparing the first few terms.
50. See Theorem 9.12, page 626. One example is
21
11n n
∞
= +∑ converges because 2 21 1
1n n<
+and
21
1
n n
∞
=∑ converges (p-series).
51. See Theorem 9.13, page 628. One example is
2
11n n
∞
= −∑ diverges because 1 1lim 1
1n
nn→∞
−= and
2
1
n n
∞
=∑ diverges (p-series).
52.
For 20 1, 0 1.n n na a a< < < < < So, the lower terms
are those of 2.naΣ
0.2
0.4
0.6
0.8
1.0
n4 8 12 16 20
Σ ann = 1
Σ ann = 1
2
Terms of
Terms of
304 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
53. (a) ( )2 2
1 1
1 14 4 12 1n n n nn
∞ ∞
= =
=− +−
∑ ∑
converges because the degree of the numerator is two less than the degree of the denominator. (See Exercise 38.) (b)
(c) ( )
2
223
1 0.122682 1n
Sn
π∞
=
= − ≈−
∑
(d) ( )
2
9210
1 0.027782 1n
Sn
π∞
=
= − ≈−
∑
54. This is not correct. The beginning terms do not affect the convergence or divergence of a series. In fact,
( )1000
1 1 1 diverges harmonic1000 1001 n n
∞
=
+ + = ∑
and ( )21
1 1 11 converges -series .4 9 n
pn
∞
=
+ + + = ∑
55. False. Let 31
nan
= and 21 . 0n n nb a bn
= < ≤ and both
31
1
n n
∞
=∑ and 2
1
1
n n
∞
=∑ converge.
56. True
57. True
58. False. Let 21 , 1 , 1 .n n na n b n c n= = = Then,
,n n na b c≤ + but 1
nn
c∞
=∑ converges.
59. True
60. False. 1
nn
a∞
=∑ could converge or diverge.
For example, let 1 1
1 ,nn n
bn
∞ ∞
= =
=∑ ∑ which diverges.
1 10n n
< < and 1
1
n n
∞
=∑ diverges, but
21 10n n
< < and 21
1
n n
∞
=∑ converges.
61. Because 1
nn
b∞
=∑ converges, lim 0.n
nb
→∞= There exists N
such that 1nb < for .n N> So, n n na b a< for
n N> and 1
n nn
a b∞
=∑ converges by comparison to the
convergent series 1
.ni
a∞
=∑
62. Because 1
nn
a∞
=∑ converges, then
2
1 1n n n
n na a a
∞ ∞
= =
=∑ ∑ converges by Exercise 61.
63. 21n∑ and 3
1n∑ both converge, and therefore, so does
2 3 51 1 1 .n n n⎛ ⎞⎛ ⎞ =⎜ ⎟⎜ ⎟⎝ ⎠⎝ ⎠
∑ ∑
64. 21n∑ converge, and therefore, so does
2
2 41 1 .n n⎛ ⎞ =⎜ ⎟⎝ ⎠
∑ ∑
65. Suppose lim 0n
n n
ab→∞
= and nbΣ converges.
From the definition of limit of a sequence, there exists 0M > such that
0 1n
n
ab
− <
whenever .n M> So, n na b< for .n M> From the Comparison Test, naΣ converges.
66. Suppose lim n
n n
ab→∞
= ∞ and nbΣ diverges. From the
definition of limit of a sequence, there exists 0M > such that
1n
n
ab
>
for .n M> So, n na b> for .n M> By the Comparison Test, naΣ diverges.
n 5 10 20 50 100
nS 1.1839 1.2087 1.2212 1.2287 1.2312
Section 9.4 Comparisons of Series 305
© 2010 Brooks/Cole, Cengage Learning
67. (a) Let ( )3
1 ,1
nan
=+
∑ ∑ and 21 ,nbn
=∑ ∑
converges.
( )( ) ( )
32
32
1 1lim lim lim 0
1 1n
n n nn
na nb n n→∞ →∞ →∞
⎡ ⎤+⎣ ⎦= = =+
By Exercise 65, ( )31
11n n
∞
= +∑ converges.
(b) Let 1 ,n na
nπ=∑ ∑ and 1 ,n nb
π=∑ ∑
converges.
( )( )
1 1lim lim lim 01
nn
nn n nn
nab n
π
π→∞ →∞ →∞= = =
By Exercise 65, 1
1n
n nπ
∞
=∑ converges.
68. (a) Let ln ,nna
n=∑ ∑ and 1,nb
n=∑ ∑ diverges.
( )lnlim lim lim ln
1n
n n nn
n na nb n→∞ →∞ →∞
= = = ∞
By Exercise 66, 1
ln
n
nn
∞
=∑ diverges.
(b) Let 1 ,lnna
n=∑ ∑ and 1,nb
n=∑ ∑ diverges.
lim limln
n
n nn
a nb n→∞ →∞
= = ∞
By Exercise 66, 1ln n∑ diverges.
69. Because lim 0,nn
a→∞
= the terms of ( )sin naΣ are positive
for sufficiently large n. Because
( )sinlim 1 andn
nn n
aa
a→∞= ∑
converges, so does ( )sin .naΣ
70. ( )
( )
1 1
1
1 11 2 1 2
21
n n
n
n n n
n n
∞ ∞
= =
∞
=
=+ + + ⎡ + ⎤⎣ ⎦
=+
∑ ∑
∑
Because 21 nΣ converges, and
( )( ) ( )
2
2
2 1 2lim lim 2,11n n
n n nn nn→∞ →∞
⎡ + ⎤⎣ ⎦ = =+
11 2 n+ + +∑ converges.
71. First note that ( ) 1 4ln 0f x x x= − = when
5503.66.x ≈ That is,
1 4ln for 5504n n n< >
which implies that
3 2 5 4ln 1 for 5504.n nn n
< >
Because 5 41
1
n n
∞
=∑ is a convergent p-series,
3 21
ln
n
nn
∞
=∑
converges by direct comparison.
72. The series diverges. For 1,n >
( )
1
1
1
2
21 1
21 1
2
n
n
n
n n
n
n
n
nn +
<
<
>
>
Because 12n∑ diverges, so does ( )1
1 .n nn +∑
73. Consider two cases:
If 11 ,
2n na +≥ then ( )( )1 1
1 11
1 1,2 2
nn
n na+
++
⎛ ⎞≥ =⎜ ⎟⎝ ⎠
and
( )( )
11 1 2 .n n n
n nnn
aa aa
++
= ≤
If 11 ,
2n na +≤ then ( )( )1
11
1 1 ,2 2
n nn n
n n na+
++
⎛ ⎞≤ =⎜ ⎟⎝ ⎠
and
combining, ( )1 12 .2
n nn n na a+ ≤ +
Because 1
122n n
na
∞
=
⎛ ⎞+⎜ ⎟⎝ ⎠
∑ converges, so does ( )1
1
n nn
na
∞+
=∑
by the Comparison Test.
306 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
Section 9.5 Alternating Series
1. 21
6
n n
∞
=∑
1
2
3
67.58.1667
SSS
=
=
≈
Matches (d).
2. ( ) 1
21
1 6n
n n
−∞
=
−∑
1
2
3
64.45.1667
SSS
=
=
≈
Matches (f).
3. 1
3!n n
∞
=∑
1
2
3
34.55.0
SSS
=
=
=
Matches (a).
4. ( ) 1
1
1 3!
n
n n
−∞
=
−∑
1
2
3
31.52.0
SSS
=
=
=
Matches (b).
5. 1
102n
n n
∞
=∑
1
2
56.25
SS
=
=
Matches (e).
6. ( )1
1 102
n
nn n
∞
=
−∑
1
2
53.75
SS
=
=
Matches (c).
7. ( ) 1
1
10.7854
2 1 4
n
n nπ
−∞
=
−= ≈
−∑
(a) (b)
(c) The points alternate sides of the horizontal line4
y π= that represents the sum of the series.
The distance between successive points and the line decreases. (d) The distance in part (c) is always less than the magnitude of the next term of the series.
n 1 2 3 4 5 6 7 8 9 10
nS 1 0.6667 0.8667 0.7238 0.8349 0.7440 0.8209 0.7543 0.8131 0.7605
0.60 11
1.1
Section 9.5 Alternating Series 307
© 2010 Brooks/Cole, Cengage Learning
8. ( )( )
1
1
1 1 0.36791 !
n
n n e
−∞
=
−= ≈
−∑
(a)
(b)
(c) The points alternate sides of the horizontal line 1ye
= that represents the sum of the series.
The distance between successive points and the line decreases. (d) The distance in part (c) is always less than the magnitude of the next series.
9. ( ) 1 2
21
10.8225
12
n
n nπ
−∞
=
−= ≈∑
(a)
(b)
(c) The points alternate sides of the horizontal line2
12y π= that represents the sum of the series.
The distance between successive points and the line decreases. (d) The distance in part (c) is always less than the magnitude of the next term in the series.
10. ( )( ) ( )
1
1
1sin 1 0.8415
2 1 !
n
n n
−∞
=
−= ≈
−∑
(a)
(b)
(c) The points alternate sides of the horizontal line ( )sin 1y = that represents the sum of the series.
The distance between successive points and the line decreases. (d) The distance in part (c) is always less than the magnitude of the next series.
n 1 2 3 4 5 6 7 8 9 10
nS 1 0 0.5 0.3333 0.375 0.3667 0.3681 0.3679 0.3679 0.3679
n 1 2 3 4 5 6 7 8 9 10
nS 1 0.75 0.8611 0.7986 0.8386 0.8108 0.8312 0.8156 0.8280 0.8180
n 1 2 3 4 5 6 7 8 9 10
nS 1 0.8333 0.8417 0.8415 0.8415 0.8415 0.8415 0.8415 0.8415 0.8415
0 110
2
0.60 11
1.1
0 110
2
308 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
11. ( ) 1
1
11
n
n n
+∞
=
−+∑
1
1 12 1
1lim lim 01
n n
nn n
a an n
an
+
→∞ →∞
= < =+ +
= =+
Converges by Theorem 9.14
12. ( ) 1
1
13 2
n
n
nn
+∞
=
−+∑
1lim3 2 3n
nn→∞
=+
Diverges by nth-Term test
13. ( )1
13
n
nn
∞
=
−∑
1 1
0
1 13 3
1lim 03
n nn n
nn
a a+ +
→
= < =
=
Converges by Theorem 9.14
(Note: 1
13
n
n
∞
=
−⎛ ⎞⎜ ⎟⎝ ⎠
∑ is a convergent geometric series)
14. ( )1
1 n
nn e
∞
=
−∑
1 1
1 1
1lim 0
n nn n
nn
a ae e
e
+ +
→∞
= < =
=
Converges by Theorem 9.14
(Note: 1
1 n
n e
∞
=
−⎛ ⎞⎜ ⎟⎝ ⎠
∑ is a convergent geometric series)
15. ( ) ( )1
1 5 14 1
n
n
nn
∞
=
− −+∑
5 1 5lim4 1 4n
nn→∞
−=
+
Diverges by nth-Term test
16. ( )( )1
1ln 1
n
n
nn
∞
=
−+∑
( )
limln 1n
nn→∞
= ∞+
Diverges by nth-Term test
17. ( ) 1
1
13 2
n
n n
+∞
=
−+∑
( )11 1
3 1 2 3 2
1lim 03 2
n n
n
a an n
n
+
→∞
= < =+ + +
=+
Converges by Theorem 9.14
18. ( )( )1
1ln 1
n
n n
∞
=
−+∑
( ) ( )
( )
11 1
ln 2 ln 1
1lim 0ln 1
n n
n
a an n
n
+
→∞
= < =+ +
=+
Converges by Theorem 9.14
19. ( ) 2
21
15
n
n
nn
∞
=
−+∑
2
2lim 15n
nn→∞
=+
Diverges by nth-Term test
20. ( ) 1
21
15
n
n
nn
+∞
=
−+∑
Let ( ) ( ) ( )( )
2
22 2
5, 0
5 5
xxf x f xx x
− −′= = <
+ +for 3x ≥
So, 1n na a+ < for 3n ≥
2lim 05n
nn→∞
=+
Converges by Theorem 9.14
21. ( )1
1
1
1 11
1lim 0
n
n
n n
n
n
a an n
n
∞
=
+
→∞
−
= < =+
=
∑
Converges by Theorem 9.14
22. ( ) 1 2
21
2
2
14
lim 14
n
n
n
nn
nn
+∞
=
→∞
−+
=+
∑
Diverges by nth-Term test
Section 9.5 Alternating Series 309
© 2010 Brooks/Cole, Cengage Learning
23. ( ) ( )( )
( ) ( ) ( )
1
1
1 1ln 1
1 1lim lim lim 1ln 1 1 1
n
n
n n n
nn
n nn n
+∞
=
→∞ →∞ →∞
− ++
+= = + = ∞
+ +
∑
Diverges by the nth-Term Test
24. ( ) ( )
( )( )
( )
( ) ( )
1
1
1
1 ln 11
ln 1 1 ln 1for 2
1 1 1
ln 1 1 1lim lim 0
1 1
n
n
n
n n
nn
n na n
n n
n nn
+∞
=
+
→∞ →∞
− ++
⎡ + + ⎤ +⎣ ⎦= < ≥+ + +
+ += =
+
∑
Converges by Theorem 9.14
25. ( ) ( ) 1
1 1
2 1sin 1
2n
n n
n π∞ ∞+
= =
⎡ − ⎤= −⎢ ⎥
⎣ ⎦∑ ∑
Diverges by the nth-Term Test
26. ( ) ( ) 1
1 1
1
2 1 11 sin2
1 11
1lim 0
n
n n
n n
n
nn n
a an n
n
π +∞ ∞
= =
+
→∞
⎡ − ⎤ −=⎢ ⎥
⎣ ⎦
= < =+
=
∑ ∑
Converges by Theorem 9.14
27. ( )1 1cos 1 n
n nnπ
∞ ∞
= =
= −∑ ∑
Diverges by the nth-Term Test
28. ( )1 1
1
11 cos
1 11
1lim 0
n
n n
n n
n
nn n
a an n
n
π∞ ∞
= =
+
→∞
−=
= < =+
=
∑ ∑
Converges by Theorem 9.14
29. ( )
( )
0
1
1!
1 11 ! !
1lim 0!
n
n
n n
n
n
a an n
n
∞
=
+
→∞
−
= < =+
=
∑
Converges by Theorem 9.14
30. ( )( )
( ) ( )
( )
0
1
12 1 !
1 12 3 ! 2 1 !
1lim 02 1 !
n
n
n n
n
n
a an n
n
∞
=
+
→∞
−+
= < =+ +
=+
∑
Converges by Theorem 9.14
31. ( )
( )
1
1
1
12
1 for 21 2 2
lim 02
n
n
n
n
nn
n na nn n
nn
+∞
=
+
→∞
−+
+= < ≥
+ + +
=+
∑
Converges by Theorem 9.14
32. ( ) 1
31
1 21 6
1 3
1
lim lim
n
n
n n
nn
n nn
+∞
=
→∞ →∞
−
= = ∞
∑
Diverges by the nth-Term Test
33. ( )( )
( )( )( ) ( )
1
1
1
1 !1 3 5 2 1
1 ! ! 1 11 3 5 2 1 2 1 1 3 5 2 1 2 1 2 1
n
n
n n n
nn
n n n na a an n n n n
+∞
=
+
−⋅ ⋅ ⋅ ⋅ ⋅ −
+ + +⎛ ⎞= = ⋅ = <⎜ ⎟⋅ ⋅ ⋅ ⋅ ⋅ − + ⋅ ⋅ ⋅ ⋅ ⋅ − + +⎝ ⎠
∑
( ) ( )
! 1 2 3 3 4 5 1lim lim lim lim 2 01 3 5 2 1 1 3 5 2 1 3 5 7 2 3 2 1n
n n n n
n n nan n n n→∞ →∞ →∞ →∞
⋅ ⋅ ⋅ ⋅ ⋅ ⎡ ⎤= = = ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ =⎢ ⎥⋅ ⋅ ⋅ ⋅ ⋅ − ⋅ ⋅ ⋅ ⋅ ⋅ − − −⎣ ⎦
Converges by Theorem 9.14
310 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
34. ( ) ( )( )
( )( )( )( )
1
1
1
1 3 5 2 11
1 4 7 3 2
1 3 5 2 1 2 1 2 11 4 7 3 2 3 1 3 1
5 7 9 2 1 1lim lim 3 04 7 10 3 5 3 2
n
n
n n n
nn n
nn
n n na a an n n
nan n
∞+
=
+
→∞ →∞
⋅ ⋅ −−
⋅ ⋅ −
⋅ ⋅ − + +⎛ ⎞= = <⎜ ⎟⋅ ⋅ − + +⎝ ⎠
−⎡ ⎤= ⋅ ⋅ =⎢ ⎥− −⎣ ⎦
∑
Converges by Theorem 9.14
35. ( ) ( ) ( ) ( )11
21 1
1 21 21
nn n
n n nn n
e
e e e
++∞ ∞
−= =
−−=
− −∑ ∑
Let ( ) 22 .
1
x
xef x
e=
−Then
( ) ( )( )
2
22
2 10.
1
x x
x
e ef x
e
− +′ = <
−
So, ( )f x is decreasing. Therefore, 1 ,n na a+ < and
2 22 2 1lim lim lim 0.
1 2
n n
n n nn n n
e ee e e→∞ →∞ →∞
= = =−
The series converges by Theorem 9.14.
36. ( ) ( ) ( )11
21 1
1 22 11
nn n
n n nn n
e
e e e
++∞ ∞
−= =
−−=
+ +∑ ∑
Let ( ) 22 .
1
x
xef x
e=
+Then
( ) ( )( )
2 2
22
2 10 for 0.
1
x x
x
e ef x x
e
−′ = < >
+
So, ( )f x is decreasing for 0x > which implies
1 .n na a+ <
2 22 2 1lim lim lim 0
1 2
n n
n n nn n n
e ee e e→∞ →∞ →∞
= = =+
The series converges by Theorem 9.14.
37. ( )5
60
6 6 7
2 10.7333
!0.7333 0.002778 0.7333 0.002778
2 0.0027786!
0.7305 0.7361
n
nS
nS
R S S a
S
=
−= ≈
− ≤ ≤ +
= − ≤ = =
≤ ≤
∑
38. ( )( )
16
61
6 6 7
4 12.7067
ln 1
4 1.9236ln 8
0.7831 4.6303
n
nS
n
R S S a
S
+
=
−= ≈
+
= − ≤ = ≈
≤ ≤
∑
39. ( ) 16
6 21
6 6 7
3 12.4325
2.4325 0.0612 2.4325 0.06123 0.061249
2.3713 2.4937
n
nS
nS
R S S a
S
+
=
−= =
− ≤ ≤ +
= − ≤ = ≈
≤ ≤
∑
40. ( ) 16
61
6 6 7 7
10.1875
27 0.054692
0.1328 0.2422
n
nn
nS
R S S a
S
+
=
−= =
= − ≤ = ≈
≤ ≤
∑
41. ( )0
1!
n
n n
∞
=
−∑
(a) By Theorem 9.15,
( )1
1 0.001.1 !N NR a
N+≤ = <+
This inequality is valid when 6.N =
(b) Approximate the series by
( )6
0
1 1 1 1 1 11 1! 2 6 24 120 720
0.368.
n
n n=
−= − + − + − +
≈
∑
(7 terms. Note that the sum begins with 0.n = )
42. ( )0
12 !
n
nn n
∞
=
−∑
(a) By Theorem 9.15,
( )1 11 0.001.
2 1 !n N NR aN+ +≤ = <
+
This inequality is valid when 4.N =
(b) Approximate the series by
( )4
0
1 1 1 1 11 0.607.2 ! 2 8 48 348
n
nn n=
−= − + − + ≈∑
(5 terms. Note that the sum begins with 0.n = )
43. ( )( )0
12 1 !
n
n n
∞
=
−+∑
(a) By Theorem 9.15,
( )1
1 0.001.2 1 1 !N NR a
N+≤ = <⎡ + + ⎤⎣ ⎦
This inequality is valid when 2.N =
(b) Approximate the series by
( )( )
2
0
1 1 11 0.842.2 1 ! 6 120
n
n n=
−= − + ≈
+∑
(3 terms. Note that the sum begins with 0.n = )
Section 9.5 Alternating Series 311
© 2010 Brooks/Cole, Cengage Learning
44. ( )( )0
12 !
n
n n
∞
=
−∑
(a) By Theorem 9.15,
( )1
1 0.001.2 2 !N NR a
N+≤ = <+
This inequality is valid when 3.N =
(b) Approximate the series by
( )( )
3
0
1 1 1 11 0.540.2 ! 2 24 720
n
n n=
−= − + − ≈∑
(4 terms. Note that the sum begins with 0.n = )
45. ( ) 1
1
1!
n
n n
+∞
=
−∑
(a) By Theorem 9.15,
11 0.001.
1N NR aN+≤ = <
+
This inequality is valid when 1000.N =
(b) Approximate the series by
( ) 11000
1
1 1 1 1 112 3 4 1000
0.693.
n
n n
+
=
−= − + − + −
≈
∑
(1000 terms)
46. ( ) 1
1
14
n
nn n
+∞
=
−∑
(a) By Theorem 9.15,
( )1 11 0.001.
4 1N N NR aN+ +≤ = <
+
This inequality is valid when 3.N =
(b) Approximate the series by
( ) 13
1
1 1 1 1 0.224.4 4 32 192
n
nn n
+
=
−= − + ≈∑
(3 terms)
47. ( ) 1
31
1 n
n n
+∞
=
−∑
By Theorem 9.15,
( )
( )
1 3
3
1 0.0011
1 1000 1 10.
N NR aN
N N
+≤ = <+
⇒ + > ⇒ + >
Use 10 terms.
48. ( ) 1
21
1 n
n n
+∞
=
−∑
By Theorem 9.15,
( )( )
1 2
2
1 0.0011
1 1000 31.
N NR aN
N N
+≤ = <+
⇒ + > ⇒ =
Use 31 terms.
49. ( ) 1
31
12 1
n
n n
+∞
=
−−∑
By Theorem 9.15,
( )
1 31 0.001.
2 1 1N NR a
N+≤ = <
+ −
This inequality is valid when 7.N = Use 7 terms.
50. ( ) 1
51
1 n
n n
+∞
=
−∑
By Theorem 9.15,
( )
1 51 0.01
1N NR a
N+≤ = <
+
This inequality is valid when 2.N = Use 2 terms.
51. ( )1
12
n
nn
∞
=
−∑
1
12n
n
∞
=∑ is a convergent geometric series.
Therefore, ( )1
12
n
nn
∞
=
−∑ converges absolutely.
52. ( ) 1
21
1 n
n n
+∞
=
−∑
21
1
n n
∞
=∑ is a convergent p-series.
Therefore, ( ) 1
21
1 n
n n
+∞
=
−∑ converges absolutely.
53. ( )1
1!
n
n n
∞
=
−∑
21 1!n n< for 4n ≥
and 21
1
n n
∞
=∑ is a convergent p-series.
So, 1
1!n n
∞
=∑ converges, and
( )1
1!
n
n n
∞
=
−∑ converges absolutely.
312 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
54. ( ) 1
31
1 n
n
nn
+∞
=
−∑
3 5 21 1
1
n n
nn n
∞ ∞
= =
=∑ ∑ is a convergent p-series. Therefore,
( ) 1
31
1 n
n
nn
+∞
=
−∑ converges absolutely.
55. ( )( )
1
21
1
3
n
n n
+∞
=
−
+∑
( )2
1
13n n
∞
= +∑ converges by a limit comparison to the
p-series 21
1 .n n
∞
=∑ Therefore, ( )
( )
1
21
1
3
n
n n
+∞
=
−
+∑ converges
absolutely.
56. ( ) 1
1
13
n
n n
+∞
=
−+∑
The series converges by the Alternating Series Test. But, the series
1
13n n
∞
= +∑
diverges by comparison to 1
1.n n
∞
=∑
Therefore, ( ) 1
1
13
n
n n
+∞
=
−+∑ converges conditionally.
57. ( ) 1
1
1 n
n n
+∞
=
−∑
The given series converges by the Alternating Series Test, but does not converge absolutely because
1
1
n n
∞
=∑
is a divergent p-series. Therefore, the series converges conditionally.
58. ( ) 1
1
1 n
n n n
+∞
=
−∑
3 21 1
1 1
n n nn n
∞ ∞
= =
=∑ ∑ which is a convergent p-series.
Therefore, the given series converges absolutely.
59. ( )( )
1 2
21
1
1
n
n
n
n
+∞
=
−
+∑
( )
2
2lim 11n
nn→∞
=+
Therefore, the series diverges by the nth-Term Test.
60. ( ) ( )1
1
1 2 310
2 3lim 210
n
n
n
nn
nn
+∞
=
→∞
− ++
+=
+
∑
Therefore, the series diverges by the nth-Term Test.
61. ( )2
1ln
n
n n n
∞
=
−∑
The series converges by the Alternating Series Test.
Let ( ) 1 .ln
f xx x
=
( ) 22
1 ln lnln
dx xx x
∞ ∞= ⎡ ⎤ = ∞⎣ ⎦∫
By the Integral Test, 2
1lnn n n
∞
=∑ diverges.
So, the series ( )2
1ln
n
n n n
∞
=
−∑ converges conditionally.
62. ( )2
0
1 n
nn e
∞
=
−∑
20
1nn e
∞
=∑ converges by a comparison to the convergent
geometric series 0
1 .n
n e
∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
∑ Therefore, the given series
converges absolutely.
63. ( )3
2
15
n
n
nn
∞
=
−−∑
32 5n
nn
∞
= −∑ converges by a limit comparison to the
p-series 22
1 .n n
∞
=∑ Therefore, the given series converges
absolutely.
64. ( ) 1
4 31
1 n
n n
+∞
=
−∑
4 31
1
n n
∞
=∑ is a convergent p-series. Therefore, the given
series converges absolutely.
Section 9.5 Alternating Series 313
© 2010 Brooks/Cole, Cengage Learning
65. ( )( )
( )
0
0
12 1 !
12 1 !
n
n
n
n
n
∞
=
∞
=
−+
+
∑
∑
is convergent by comparison to the convergent geometric series
0
12
n
n
∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
∑
because
( )
1 1 for 0.2 1 ! 2n n
n< >
+
Therefore, the given series converges absolutely.
66. ( )0
14
n
n n
∞
=
−
+∑
The given series converges by the Alternating Series Test, but
0
14n n
∞
= +∑
diverges by a limit comparison to the divergent p-series
1
1 .n n
∞
=∑
Therefore, the given series converges conditionally.
67. ( )0 0
1cos1 1
n
n n
nn n
π∞ ∞
= =
−=
+ +∑ ∑
The given series converges by the Alternating Series Test, but
0 0
cos 11 1n n
nn n
π∞ ∞
= =
=+ +∑ ∑
diverges by a limit comparison to the divergent harmonic series,
1
1.n n
∞
=∑
( )cos 1lim 1,
1n
n nn
π→∞
+= therefore, the series
converges conditionally.
68. ( ) 1
11 arctann
nn
∞+
=
−∑
lim arctan 02n
n π→∞
= ≠
Therefore, the series diverges by the nth-Term Test.
69. ( )2 2
1 1
1cosn
n n
nn n
π∞ ∞
= =
−=∑ ∑
21
1
n n
∞
=∑ is a convergent p-series.
Therefore, the given series converges absolutely.
70. ( ) ( ) 1
1 1
sin 2 1 2 1 n
n n
nn n
π +∞ ∞
= =
⎡ − ⎤ −⎣ ⎦ =∑ ∑
The given series converges by the Alternating Series Test, but
( )
1 1
sin 2 1 2 1
n n
nn n
π∞ ∞
= =
⎡ − ⎤⎣ ⎦ =∑ ∑
is a divergent p-series. Therefore, the series converges conditionally.
71. An alternating series is a series whose terms alternate in sign.
72. See Theorem 9.14.
73. 1N N NS S R a +− = ≤ (Theorem 9.15)
74. na∑ is absolutely convergent if na∑ converges.
na∑ is conditionally convergent if na∑ diverges, but
na∑ converges.
75. (b). The partial sums alternate above and below the horizontal line representing the sum.
76. (a) False. For example, let ( )1 .n
nan−
=
Then ( )1 n
nan−
=∑ ∑ converges
and ( ) ( ) 11 n
nan
+−− =∑ ∑ converges.
But, 1na
n=∑ ∑ diverges.
(b) True. For if na∑ converged, then so would
na∑ by Theorem 9.16.
77. True. 1001 1 12 3 1001S = − + − + +
Because the next term 1101− is negative, 100S is an
overestimate of the sum.
78. False. Let
( )1 .n
n na bn
−= =∑ ∑ ∑
Then both converge by the Alternating Series Test. But,
1 ,n na bn
=∑ ∑ which diverges.
314 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
79. ( )1
11 np
n n
∞
=
−∑
If 0,p = then ( )1
1 n
n
∞
=
−∑ diverges.
If 0,p < then ( )1
1 n p
nn
∞−
=
−∑ diverges.
If 0,p > then 1lim 0pn n→∞= and
( )
11 1 .
1n np pa a
nn+ = < =
+
Therefore, the series converges for 0.p >
80. ( )1
11 n
n n p
∞
=
−+∑
Assume that 0n p+ ≠ so that ( )1na n p= + are defined for all n. For all p,
1lim lim 0nn n
an p→∞ →∞
= =+
11 1 .1n na a
n p n p+ = < <+ + +
Therefore, the series converges for all p.
81. Because
1
nn
a∞
=∑
converges you have lim 0.nn
a→∞
= So, there must exist
an 0N > such that 1Na < for all n N> and it
follows that 2n na a≤ for all .n N> So, by the
Comparison Test,
2
1n
na
∞
=∑
converges. Let 1na n= to see that the converse is false.
82. ( ) 1
1
1 n
n n
−∞
=
−∑ converges, but
1
1
n n
∞
=∑ diverges.
83. 21
1
n n
∞
=∑ converges, and so does 4
1
1 .n n
∞
=∑
84. (a) 1
n
n
xn
∞
=∑
converges absolutely (by comparison) for 1 1,x− < < because
andn
n nx x xn
< ∑
is a convergent geometric series for 1 1.x− < <
(b) When 1,x = − you have the convergent alternating series
( )1
1.
n
n n
∞
=
−∑
When 1,x = you have the divergent harmonic series 1 .n Therefore,
1
n
n
xn
∞
=∑ converges conditionally for 1.x = −
85. (a) No, the series does not satisfy 1n na a+ ≤ for all n.
For example, 1 1.9 8<
(b) Yes, the series converges.
21 1 1 12 3 2 31 1 1 12 2 3 3
1 1 1 11 12 2 3 3
n n n
n n
n n
S = − + + −
⎛ ⎞ ⎛ ⎞= + + − + +⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠
⎛ ⎞ ⎛ ⎞= + + + − + + +⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠
As ,n → ∞
( ) ( )21 1 3 12 .
1 1 2 1 1 3 2 2nS → − = − =− −
86. (a) No, the series does not satisfy 1 :n na a+ ≤
( ) 1
1
1 1 11 18 643
nn
na
∞+
=
− = − + − +∑ and
1 1 .8 3<
(b) No, the series diverges because 1n∑ diverges.
87. 3 2 3 21 1
10 110 ,n nn n
∞ ∞
= =
=∑ ∑
convergent p-series
88. 21
35n n
∞
= +∑
converges by limit comparison to convergent p-series
21 .n∑
Section 9.6 The Ratio and Root Tests 315
© 2010 Brooks/Cole, Cengage Learning
89. Diverges by nth-Term Test lim n
na
→∞= ∞
90. Converges by limit comparison to convergent geometric
series 1 .2n∑
91. Convergent geometric series
( )78 1r = <
92. Diverges by nth-Term Test
32lim n
na
→∞=
93. Convergent geometric series ( )1r e= or Integral
Test
94. Converges (conditionally) by Alternating Series Test
95. Converges (absolutely) by Alternating Series Test
96. Diverges by comparison to Divergent Harmonic Series:
ln 1 for 3n nn n
> ≥
97. The first term of the series is zero, not one. You cannot regroup series terms arbitrarily.
98. Rearranging the terms of an alternating series can change the sum.
99. 1 1 112 3 41 1 1 1 1 1 1 113 2 5 7 4 9 11 6
s
S
= − + − +
= + − + + − + + − +
(i) 4
2
1 1 1 1 1 1 112 3 4 5 6 4 1 4
1 1 1 1 1 1 1 12 2 4 6 8 10 4 2 4
n
n
sn n
sn n
= − + − + − + + −−
= − + − + − + −−
Adding: 4 2 31 1 1 1 1 1 1 1 112 3 2 5 7 4 4 3 4 1 2n n ns s s
n n n+ = + − + + − + + + − =
− −
(ii) lim nn
s s→∞
= (In fact, ln 2.s = )
0s ≠ because 1.2
s >
3 4 21 1 3lim2 2 2n n n
nS S s s s s s
→∞= = + = + =
So, .S s≠
Section 9.6 The Ratio and Root Tests
1. ( )( )
( )( )( )( )( ) ( )( )( )1 ! 1 1 2 !
1 12 ! 2 !
n n n n nn n n
n n+ + − −
= = + −+ −
2. ( )( )
( )( )( )( ) ( )( )
2 2 ! 2 2 ! 12 ! 2 2 1 2 2 ! 2 2 1
k kk k k k k k− −
= =− − −
316 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
3. Use the Principle of Mathematical Induction. When 1,k = the formula is valid because ( )( )
1
2 1 !1 .
2 1!=
⋅Assume that
( ) ( )2 !1 3 5 2 1
2 !n
nn
n⋅ ⋅ − =
and show that
( )( ) ( )( )1
2 2 !1 3 5 2 1 2 1 .
2 1 !n
nn n
n+
+⋅ ⋅ − + =
+
To do this, note that:
( )( ) ( ) ( )( ) ( ) ( )
( ) ( ) ( )( )
( ) ( )( )( )
( )( )
1
1
1 3 5 2 1 2 1 1 3 5 2 1 2 1
2 !2 1 Induction hypothesis
2 !2 ! 2 1 2 2
2 ! 2 1
2 ! 2 1 2 22 ! 1
2 2 !2 1 !
n
n
n
n
n n n n
nn
nn n n
n n
n n nn n
nn
+
+
⋅ ⋅ − + = ⎡ ⋅ ⋅ − ⎤ +⎣ ⎦
= ⋅ +
+ += ⋅
+
+ +=
+
+=
+
The formula is valid for all 1.n ≥
4. Use the Principle of Mathematical Induction. When 3,k = the formula is valid because ( )( )32 3! 3 51 1.1 6!= = Assume that
( )
( )( )( )
2 ! 2 3 2 111 3 5 2 5 2 !
n n n nn n
− −=
⋅ ⋅ −
and show that
( )( )
( ) ( )( )( )
12 1 ! 2 1 2 11 .1 3 5 2 5 2 3 2 2 !
n n n nn n n
+ + − +=
⋅ ⋅ − − +
To do this, note that:
( )( ) ( ) ( )( )
1 1 11 3 5 2 5 2 3 1 3 5 2 5 2 3
2 ! 2 3n
n n n n
n n
= ⋅⋅ ⋅ − − ⋅ ⋅ − −
−=
( )( ) ( )
2 1 12 ! 2 3
n
n n
−⋅
−
( )( )
( )( )( )( )
( )( ) ( )( )( ) ( )( )( ) ( )( )
( )1
2 ! 2 1 2 1 2 22 ! 2 1 2 2
2 2 1 ! 2 1 2 12 ! 2 1 2 2
2 1 ! 2 1 2 12 2 !
n
n
n
n n n nn n n
n n n nn n n
n n nn
+
− + += ⋅
+ +
+ − +=
+ +
+ − +=
+
The formula is valid for all 3.n ≥
5. ( ) ( ) ( )1
3 3 94 4 161 2
n
nn
∞
=
= + +∑
1 234, 1.875S S= ≈
Matches (d).
6. 1
3 1 3 9 14 ! 4 16 2
n
n n
∞
=
⎛ ⎞ ⎛ ⎞ ⎛ ⎞= + +⎜ ⎟ ⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠ ⎝ ⎠
∑
1 23, 1.034
S S= ≈
Matches (c).
Section 9.6 The Ratio and Root Tests 317
© 2010 Brooks/Cole, Cengage Learning
7. ( ) 1 3
1
1
3 39! 2
9
n
n nS
+∞
=
−= − +
=
∑
Matches (f).
8. ( )( )
1
1
1
1 4 4 42 ! 2 24
2
n
n n
S
−∞
=
−= − +
=
∑
Matches (b).
9. 2
1
1 2
4 4 85 3 2 7
2, 3.31
n
n
nn
S S
∞
=
⎛ ⎞ ⎛ ⎞= + +⎜ ⎟ ⎜ ⎟−⎝ ⎠ ⎝ ⎠= =
∑
Matches (a).
10. 0
1
44 4
4
n
ne
eS
∞−
=
= + +
=
∑
Matches (e).
11. (a) Ratio Test: ( ) ( )( )
2 1 21
2
1 5 8 1 5 5lim lim lim 1.8 85 8
nn
nn n nn
na na nn
++
→∞ →∞ →∞
+ +⎛ ⎞= = = <⎜ ⎟⎝ ⎠
Converges
(b) (c)
(d) The sum is approximately 19.26. (e) The more rapidly the terms of the series approach 0, the more rapidly the sequence of the partial sums approaches the sum
of the series.
12. (a) Ratio Test:
( )( )
2
21
2 2
1 11 ! 2 2 1lim lim lim 0 1.1 1 1
!
n
n n nn
nna n nna n n
n
+
→∞ →∞ →∞
+ ++ ⎛ ⎞+ + ⎛ ⎞= = = <⎜ ⎟⎜ ⎟+ + +⎝ ⎠⎝ ⎠
Converges
(b) (c)
(d) The sum is approximately 7.15485 (e) The more rapidly the terms of the series approach 0, the more rapidly the sequence of the partial sums approaches the sum
of the series.
13. 1
12n
n
∞
=∑
1
11
1 2 2 1lim lim lim 12 21 2
n nn
n nn n nn
aa
++
+→∞ →∞ →∞= = = <
Therefore, the series converges by the Ratio Test.
n 5 10 15 20 25
nS 9.2104 16.7598 18.8016 19.1878 19.2491
n 5 10 15 20 25
nS 7.0917 7.1548 7.1548 7.1548 7.1548
00
12
20
0 110
10
318 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
14. 1
1!n n
∞
=∑
( )
( )
1 1 1 !lim lim
1 !
! 1lim lim 01 ! 1
n
n nn
n n
naa n
nn n
+
→∞ →∞
→∞ →∞
+=
= = =+ +
Therefore, the series converges by the Ratio Test.
15. 0
!3n
n
n∞
=∑
( )11
1 ! 3 1lim lim lim3 ! 3
nn
nn n nn
na na n+
+→∞ →∞ →∞
+ += ⋅ = = ∞
Therefore, by the Ratio Test, the series diverges.
16. 0
3!
n
n n
∞
=∑
( )
11 3 ! 3lim lim lim 0
1 ! 3 1
nn
nn n nn
a na n n
++
→∞ →∞ →∞= ⋅ = =
+ +
Therefore, by the Ratio Test, the series converges.
17. 1
65
n
nn
∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
∑
( )( )( )
11 1 6 5
lim lim6 5
1 6 6lim 15 5
nn
nn nn
n
naa n
nn
++
→∞ →∞
→∞
+=
+ ⎛ ⎞= = >⎜ ⎟⎝ ⎠
Therefore, the series diverges by the Ratio Test.
18. 1
109
n
nn
∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
∑
( )( )( )
11 1 10 9
lim lim10 9
1 10 10lim 19 9
nn
nn nn
n
naa n
nn
++
→∞ →∞
→∞
+=
+ ⎛ ⎞= = >⎜ ⎟⎝ ⎠
Therefore, the series diverges by the Ratio Test.
19. 1 4n
n
n∞
=∑
( ) 11 1 4 1lim lim lim 1 4 1
44
nn
nn n nn
na na nn
++
→∞ →∞ →∞
+ += = = <
Therefore, the series converges by the Ratio Test.
20. 3
1 4nn
n∞
=∑
( )
( )
131
3
3
3
1 4lim lim
4
1 1lim 14 4
n
nnn nn
n
naa n
nn
+
+
→∞ →∞
→∞
+=
+= = <
Therefore, the series converges by the Ratio Test.
21. 21
4n
n n
∞
=∑
( )
( )( )
211
2
2
2
4 1lim lim
4
lim 4 4 11
nn
nn nn
n
naa n
nn
++
→∞ →∞
→∞
+=
= = >+
Therefore, the series diverges by the Ratio Test.
22. ( ) ( )( )
( )( ) ( )
( )
1
1
1
1 21
3 21 2 1
2lim 01
n
n
n n
n
nn n
n na an n n n
nn n
+∞
=
+
→∞
− ++
+ += ≤ =
+ + +
+=
+
∑
Therefore, by Theorem 9.14, the series converges. Note: The Ratio Test is inconclusive because
1lim 1.n
n n
aa+
→∞=
The series converges conditionally.
23. ( )0
1 2!
n n
n n
∞
=
−∑
( )1
1 2 !lim lim1 ! 2
2lim 01
nn
nn nn
n
a na n
n
++
→∞ →∞
→∞
= ⋅+
= =+
Therefore, by the Ratio Test, the series converges.
24. ( ) ( )1
21
1 3 2n n
n n
−∞
=
−∑
( )( )
( )
1 21
2
2
2
3 2lim lim
2 1 3 2
3 3lim 122 2 1
nn
nn nn
n
a na n n
nn n
++
→∞ →∞
→∞
= ⋅+ +
= = >+ +
Therefore, by the Ratio Test, the series diverges.
Section 9.6 The Ratio and Root Tests 319
© 2010 Brooks/Cole, Cengage Learning
25. 1
!3n
n
nn
∞
=∑
( )( )
11
1 ! 3lim lim lim1 3 ! 3
nn
nn n nn
na n na n n+
+→∞ →∞ →∞
+= ⋅ = = ∞
+
Therefore, by the Ratio Test, the series diverges.
26. ( )5
1
2 !
n
nn
∞
=∑
( )( ) ( )
( )( )( )
51
5
5
5
2 2 !lim lim
2 !1
2 2 2 1lim
1
n
n nn
n
na na nn
n n n
n
+
→∞ →∞
→∞
+= ⋅
+
+ += = ∞
+
Therefore, by the Ratio Test, the series diverges.
27. 0 !
n
n
en
∞
=∑
( )
( )
11 1 !
lim lim!
!lim lim 01 ! 1
nn
nn nn
n n
e naa e n
n een n
++
→∞ →∞
→∞ →∞
+=
⎛ ⎞= = =⎜ ⎟⎜ ⎟+ +⎝ ⎠
Therefore, the series converges by the Ratio Test.
28. 1
!n
n
nn
∞
=∑
( ) ( ) 11 1 ! 1
lim lim!
1lim1
nn
nn nn
n
n
n naa n n
nn e
++
→∞ →∞
→∞
+ +=
⎛ ⎞= =⎜ ⎟+⎝ ⎠
Therefore, the series converges by the Ratio Test.
29. ( )0
61
n
nn n
∞
= +∑
( )( )
111 6 2 6 1 1lim lim lim 0 0.
2 26 1
n nnn
nnn n nn
na na n n en
+++
→∞ →∞ →∞
+ +⎛ ⎞ ⎛ ⎞= = = =⎜ ⎟ ⎜ ⎟+ +⎝ ⎠ ⎝ ⎠+
To find 1lim :2
n
n
nn→∞
+⎛ ⎞⎜ ⎟+⎝ ⎠
Let 12
nnyn+⎛ ⎞= ⎜ ⎟+⎝ ⎠
( ) ( )
[ ] ( ) ( ) ( ) ( )( )( )
2
2
ln 1 ln 21ln ln2 1
2 11 1 1 2lim ln lim lim 1
1 1 2n n n
n nny nn n
n n nn ny
n n n→∞ →∞ →∞
+ − ++⎛ ⎞= =⎜ ⎟+⎝ ⎠
⎡ ⎤− ⎡ + − + ⎤⎡ + − + ⎤ ⎣ ⎦= = = −⎢ ⎥⎢ ⎥− + +⎢ ⎥⎣ ⎦ ⎣ ⎦
by L'Hôpital's Rule. So, 1.ye
→
Therefore, the series converges by the Ratio Test.
30. ( )( )
2
0
!3 !n
nn
∞
=∑
( )( )
( )( )
( )( )( )( )
2 21
2
1 ! 3 ! 1lim lim lim 0
3 3 ! 3 3 3 2 3 1!n
n n nn
n n naa n n n nn+
→∞ →∞ →∞
⎡ + ⎤ +⎣ ⎦= ⋅ = =+ + + +
Therefore, by the Ratio Test, the series converges.
31. 0
52 1
n
nn
∞
= +∑
( )( )
( )( )
( )1 11
1
5 2 1 5 2 1 5 1 1 2 5lim lim lim lim 12 1 2 25 2 1 2 1
n n n nn
nn n nn n n nn
aa
+ ++
+→∞ →∞ →∞ →∞
+ + += = = = >
++ +
Therefore, the series diverges by the Ratio Test.
320 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
32. ( )( )
( )( )
( )( )
4
0
4 4 41
4
1 22 1 !
2 1 !2 2lim lim lim 02 3 ! 2 2 3 2 2
n n
n
nn
nn n nn
n
naa n n n
∞
=
++
→∞ →∞ →∞
−+
+= ⋅ = =
+ + +
∑
Therefore, by the Ratio Test, the series converges.
33. ( )( )
( )( )( )
( )
1
0
1
1 !1 3 5 2 1
1 ! 1 3 5 2 1 1 1lim lim lim1 3 5 2 1 2 3 ! 2 3 2
n
n
n
n n nn
nn
n na na n n n n
+∞
=
+
→∞ →∞ →∞
−⋅ ⋅ +
+ ⋅ ⋅ + += ⋅ = =
⋅ ⋅ + + +
∑
Therefore, by the Ratio Test, the series converges.
Note: The first few terms of this series are 1 2! 3!1 .1 3 1 3 5 1 3 5 7
− + − + −⋅ ⋅ ⋅ ⋅ ⋅ ⋅
34. ( )( )1
1 2 4 6 22 5 8 3 1
n
n
nn
∞
=
− ⋅ ⋅⋅ ⋅ −∑
( )( )( )
( )1 2 4 2 2 2 2 5 3 1 2 2 2lim lim lim2 5 3 1 3 2 2 4 2 3 2 3
n
n n nn
n n na na n n n n+
→∞ →∞ →∞
⋅ + ⋅ − += ⋅ = =
⋅ − + ⋅ +
Therefore, by the Ratio Test, the series converges.
Note: The first few terms of this series are 2 2 4 2 4 62 2 5 2 5 8
⋅ ⋅ ⋅− + − +
⋅ ⋅ ⋅
35. 1
15n
n
∞
=∑
11 1lim lim 1
5 5
nn
n nn na
→∞ →∞
⎡ ⎤= = <⎢ ⎥⎣ ⎦
Therefore, by the Root Test, the series converges.
36. 1
1n
n n
∞
=∑
11 1lim lim lim 0
nn
n nn n na
n n→∞ →∞ →∞
⎡ ⎤= = =⎢ ⎥⎣ ⎦
Therefore, by the Root Test, the series converges.
37. 1 2 1
n
n
nn
∞
=
⎛ ⎞⎜ ⎟+⎝ ⎠
∑
1lim lim lim2 1 2 1 2
nn nn
n n n
n nan n→∞ →∞ →∞
⎛ ⎞= = =⎜ ⎟+ +⎝ ⎠
Therefore, by the Root Test, the series converges.
38. 1
21
n
n
nn
∞
=
⎛ ⎞⎜ ⎟+⎝ ⎠
∑
2 2lim lim lim 21 1
nn nn
n n n
n nan n→∞ →∞ →∞
⎛ ⎞= = =⎜ ⎟+ +⎝ ⎠
Therefore, by the Root Test, the series diverges.
39. 2
2 11
n
n
nn
∞
=
+⎛ ⎞⎜ ⎟−⎝ ⎠
∑
2 1 2 1lim lim lim 21 1
nn nn
n n n
n nan n→∞ →∞ →∞
+ +⎛ ⎞ ⎛ ⎞= = =⎜ ⎟ ⎜ ⎟− −⎝ ⎠ ⎝ ⎠
Therefore, by the Root Test, the series diverges.
40. 1
4 32 1
n
n
nn
∞
=
+⎛ ⎞⎜ ⎟−⎝ ⎠
∑
4 3 4 3lim lim lim 22 1 2 1
nn nn
n n n
n nan n→∞ →∞ →∞
+ +⎛ ⎞= = =⎜ ⎟− −⎝ ⎠
Therefore, by the Root Test, the series diverges.
41. ( )( )2
1
ln
n
nn n
∞
=
−∑
( )( )
1 1lim lim lim 0lnln
nn nn nn n n
ann→∞ →∞ →∞
−= = =
Therefore, by the Root Test, the series converges.
Section 9.6 The Ratio and Root Tests 321
© 2010 Brooks/Cole, Cengage Learning
42. 3
1
32 1
n
n
nn
∞
=
−⎛ ⎞⎜ ⎟+⎝ ⎠
∑
3
3 3
3lim lim2 1
3 3 27lim2 1 2 8
nn nn
n n
n
nan
nn
→∞ →∞
→∞
−⎛ ⎞= ⎜ ⎟+⎝ ⎠
⎛ ⎞ ⎛ ⎞= = =⎜ ⎟ ⎜ ⎟+⎝ ⎠ ⎝ ⎠
Therefore, by the Root Test, the series diverges.
43. ( )1
2 1nn
nn
∞
=
+∑
( ) ( )lim lim 2 1 lim 2 1nn nnn
nn n n
a n n→∞ →∞ →∞
= + = +
To find lim ,n
nn
→∞let lim .n
ny n
→∞= Then
( )ln lim ln
1 ln 1lim ln lim lim 0.1
nn
n n n
y n
n nnn n
→∞
→∞ →∞ →∞
=
= = = =
So, ln 0,y = so 0 1y e= = and
( ) ( )lim 2 1 2 1 1 3.n
nn
→∞+ = + =
Therefore, by the Root Test, the series diverges.
44. 33
0 0
1nn
n ne
e
∞ ∞−
= =
=∑ ∑
1
31 1 1lim lim lim
3 3
nn nn n nn n n
ae→∞ →∞ →∞
⎛ ⎞= = =⎜ ⎟⎝ ⎠
Therefore, the series converges by the Root Test.
45. 1 3n
n
n∞
=∑
1 1 1lim lim lim
3 3 3
n nn
n nn n n
n na→∞ →∞ →∞
⎛ ⎞= = =⎜ ⎟⎝ ⎠
Therefore, the series converges by the Root Test. Note: You can use L'Hôpital's Rule to show
1lim 1:nn
n→∞
=
Let 1 1 ln, ln lnn ny n y nn n
= = =
ln 1lim lim 0 11n n
n n yn→∞ →∞
= = ⇒ →
46. 1 500
n
n
n∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
∑
lim lim lim500 500
nn nn
n n n
n na→∞ →∞ →∞
⎛ ⎞ ⎛ ⎞= = = ∞⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠
Therefore, by the Root Test, the series diverges.
47. 21
1 n
n n n
∞
=
1⎛ ⎞−⎜ ⎟⎝ ⎠
∑
2
2
1 1lim lim
1 1lim 0 0 0 1
nn nn
n n
n
an n
n n
→∞ →∞
→∞
⎛ ⎞= −⎜ ⎟⎝ ⎠
⎛ ⎞= − = − = <⎜ ⎟⎝ ⎠
Therefore, by the Root Test, the series converges.
48. 1
ln n
n
nn
∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
∑
ln lnlim lim lim 0 1n
n nnn n n
n nan n→∞ →∞ →∞
⎛ ⎞= = = <⎜ ⎟⎝ ⎠
Therefore, by the Root Test, the series converges.
49. ( )2 ln n
n
nn
∞
=∑
( )
1lim lim lim 0
lnln
nn nn nn n n
n nann→∞ →∞ →∞
= = =
Therefore, by the Root Test, the series converges.
50. ( )( )
( )( )2 21 1
! !n n
nnn n
n n
n n
∞ ∞
= =
=∑ ∑
( )( ) 22
! !lim lim limnn n nn n n
n nann→∞ →∞ →∞
= = = ∞
Therefore, by the Root Test, the series diverges.
51. ( ) 1
1
1 5n
n n
+∞
=
−∑
1
5 51
5lim 0
n n
n
a an n
n
+
→∞
= < =+
=
Therefore, by the Alternating Series Test, the series converges (conditional convergence).
52. 1 1
100 1100n nn n
∞ ∞
= =
=∑ ∑
This is the divergent harmonic series.
53. 3 21 1
3 13n n nn n
∞ ∞
= =
=∑ ∑
This is a convergent p-series.
322 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
54. 1
23
n
n
π∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
∑
Because 2 1,3
r π= > this is a divergent Geometric
Series.
55. 1
52 1n
nn
∞
= −∑
5 5lim2 1 2n
nn→∞
=−
Therefore, the series diverges by the nth-Term Test
56. 21 2 1n
nn
∞
= +∑
( )2 2
2
2 1 1lim lim 01 2 1 2n n
n n nn n→∞ →∞
+= = >
+
This series diverges by limit comparison to the divergent harmonic series
1
1.n n
∞
=∑
57. ( ) ( )2 2
1 1 1
1 3 1 3 3 1 32 2 9 2
n n nn n
n nn n n
− −∞ ∞ ∞
= = =
− − ⎛ ⎞= = −⎜ ⎟⎝ ⎠
∑ ∑ ∑
Because 3 1,2
r = > this is a divergent geometric series.
58. 3
1
103n n
∞
=∑
3 2
3 210 3 10lim
1 3n
nn→∞
=
Therefore, the series converges by a Limit Comparison Test with the p-series
3 21
1 .n n
∞
=∑
59. 1
10 32n
n
nn
∞
=
+∑
( )10 3 2 10 3lim lim 101 2
n
nn n
n n nn→∞ →∞
+ += =
Therefore, the series converges by a Limit Comparison Test with the geometric series
0
1 .2
n
n
∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
∑
60. 21
24 1
n
n n
∞
= −∑
( ) ( )2
2
ln 2 2 ln 2 22lim lim lim4 1 8 8
n nn
n n nn n→∞ →∞ →∞= = = ∞
−
Therefore, the series diverges by the nth-Term Test.
61. cos 13 3n n
n≤
Therefore the series 1
cos3n
n
n∞
=∑ converges
by Direct comparison with the convergent geometric
series 1
1 .3n
n
∞
=∑ So, cos
3nn∑ converges.
62. ( )2
1ln
n
n n n
∞
=
−∑
( ) ( ) ( )1
1 11 ln 1 lnn na a
n n n n+ = ≤ =+ +
1lim 0ln ( )n n n→∞
=
Therefore, by the Alternating Series Test, the series converges.
63. 1
7!
n
n
nn
∞
=∑
( )( )
11 1 7 ! 7lim lim lim 0
1 ! 7
nn
nn n nn
na na n n n
++
→∞ →∞ →∞
+= ⋅ = =
+
Therefore, by the Ratio Test, the series converges.
64. ( )2
1
ln
n
nn
∞
=∑
( )2 3 2
ln 1nn n
≤
Therefore, the series converges by comparison with the p-series
3 21
1 .n n
∞
=∑
65. ( ) 1
1
1 3!
n n
n n
−∞
=
−∑
( )
11
3 ! 3lim lim lim 01 ! 3 1
nn
nn n nn
a na n n+
−→∞ →∞ →∞= ⋅ = =
+ +
Therefore, by the Ratio Test, the series converges. (Absolutely)
Section 9.6 The Ratio and Root Tests 323
© 2010 Brooks/Cole, Cengage Learning
66. ( )1
1 32
n n
nn n
∞
=
−∑
( ) ( )
11
13 2 3 3lim lim lim
1 2 3 2 1 2
n nn
n nn n nn
a n na n n
++
+→∞ →∞ →∞= ⋅ = =
+ +
Therefore, by the Ratio Test, the series diverges.
67. ( )( )1
33 5 7 2 1
n
n n
∞
=
−⋅ ⋅ +∑
( )( )( )
( )( )
11 3 3 5 7 2 1 3lim lim lim 0
3 5 7 2 1 2 3 2 33
nn
nn n nn
naa n n n
++
→∞ →∞ →∞
− ⋅ ⋅ += ⋅ = =
⋅ ⋅ + + +−
Therefore, by the Ratio Test, the series converges.
68. ( )( )1
3 5 7 2 118 2 1 !n
n
nn n
∞
=
⋅ ⋅ +−∑
( )( )( )( )
( )( )
( )( )( )( )
11
3 5 7 2 1 2 3 18 2 1 ! 2 3 2 1 1lim lim lim18 2 1 2 1 ! 3 5 7 2 1 18 2 1 2 1 18
nn
nn n nn
n n n n n naa n n n n n n+
+→∞ →∞ →∞
⋅ ⋅ + + − + −= ⋅ = =
+ − ⋅ ⋅ + + −
Therefore, by the Ratio Test, the series converge.
69. (a) and (c) are the same.
( )( )
( )( ) ( )( ) ( )( )
1
1 0
2 3 4
1 55! 1 !
2 5 3 5 4 55
2! 3! 4!
nn
n n
nnn n
+∞ ∞
= =
+=
+
= + + + +
∑ ∑
70. (b) and (c) are the same.
( )( ) ( )
( ) ( ) ( )
1
0 1
2 3
3 34 4
3 3 34 4 4
1
1 2 3 4
n n
n nn n
∞ ∞ −
= =
+ =
= + + + +
∑ ∑
71. (a) and (b) are the same.
( )( )
( )( )
1
0 1
1 12 1 ! 2 1 !
1 113! 5!
n n
n nn n
−∞ ∞
= =
− −=
+ −
= − + −
∑ ∑
72. (a) and (b) are the same.
( )( )
( ) 1
12 1
2 3
1 11 2 2
1 1 12 2 2 3 2
n n
n nn nn n
+∞ ∞
−= =
− −=
−
= − + −⋅ ⋅
∑ ∑
73. Replace n with 1.n +
11 0
17 7n n
n n
n n∞ ∞
+= =
+=∑ ∑
74. Replace n with 2.n +
( )
2
2 0
9 92 ! !
n n
n nn n
+∞ ∞
= =
=−∑ ∑
75. (a) Because
10
5103 1.59 10 ,
2 10!−≈ ×
use 9 terms.
(b) ( )9
1
30.7769
2 !
k
kk k=
−≈ −∑
76. (a) Use 10 terms, 9,k = see Exercise 3.
(b) ( )( )
( )( ) ( )
( )( )
0 0
0
3 3 2 !1 3 5 2 1 2 ! 2 1
6 !0.40967
2 1 !
k k k
k k
k
k
kk k k
kk
∞ ∞
= =
∞
=
− −=
⋅ ⋅ + +
−= ≈
+
∑ ∑
∑
…
77. ( ) ( )1 4 1 3 2lim lim
4 1 4lim 13 2 3
nn
n nn n
n
n n aaa a
nn
+
→∞ →∞
→∞
− +=
−= = >
+
The series diverges by the Ratio Test.
78. ( ) ( )1 2 1 5 4lim lim
2 1 2lim 15 4 5
nn
n nn n
n
n n aaa a
nn
+
→∞ →∞
→∞
+ −=
+= = <
−
The series converges by the Ratio Test.
324 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
79. ( ) ( )1sin 1
lim lim
sin 1lim 0 1
nn
n nn n
n
n n aaa a
nn
+
→∞ →∞
→∞
+=
+= = <
The series converges by the Ratio Test.
80. ( ) ( )1 cos 1lim lim
cos 1lim 0 1
nn
n nn n
n
n n aaa a
nn
+
→∞ →∞
→∞
+=
+= = <
The series converges by the Ratio Test.
81. ( ) ( )( )1 1 1 1lim lim lim 1 1nn
n n nn n
n aaa a n+
→∞ →∞ →∞
+ ⎛ ⎞= = + =⎜ ⎟⎝ ⎠
The Ratio Test is inconclusive. But, lim 0,n
na
→∞≠ so the series diverges.
82. The series diverges because lim 0.nn
a→∞
≠
( )( )
1
1 22
1 33
14
1 14 2
12 0.7937
a
a
a
=
= =
= ≈
In general, 1 0.n na a+ > >
83.
( )( )( )
( )
1
1 2 11 3 2 1 2 1
lim lim 1 21 3 2 1
1 1lim 12 1 2
n
n nn
n
n nn na
nan
nn
+
→∞ →∞
→∞
⋅ +⋅ − +
=⋅
⋅ −
+= = <
+
The series converges by the Ratio Test.
84. 0
13n
n
n∞
=
+∑
( )( )
( )
1 1lim lim lim3 3
Let lim 1
ln lim ln 1
1lim ln 1
ln 1 1lim 0.1
nn nn nn n n
n
n
n
n
n
n
n na
y n
y n
nn
nn n
→∞ →∞ →∞
→∞
→∞
→∞
→∞
+ += =
= +
= +
= +
+= = =
+
Because 0ln 0, 1,y y e= = = so
1 1lim .3 3n
n→∞
+=
Therefore, by the Root Test, the series converges.
85. ( )3
1ln n
n n
∞
=∑
( )
1 1lim lim lim 0lnln
n nn nn n na
nn→∞ →∞ →∞= = =
Therefore, by the Root Test, the series converges.
86.
( )( )( )( )( )
( )( )
( )( )
1
1 3 5 2 1 2 11 2 3 2 1 2 2 1
lim lim1 3 5 2 11 2 3 2 1
2 1lim 0 12 2 1
n
n nn
n
n nn n na
nan
nn n
+
→∞ →∞
→∞
⋅ ⋅ − +⋅ ⋅ − +
=⋅ ⋅ −⋅ ⋅ −
+= = <
+
The series converges by the Ratio Test.
87. ( )( )
11 2 3
lim lim lim3 32 3
nn
nn n nn
xa x xa x
++
→∞ →∞ →∞= = =
For the series to converge: 1 3 3.3x x< ⇒ − < <
For 3,x = the series diverges.
For 3,x = − the series diverges.
88. 1 1 1lim lim lim4 4 4
nn nn
n n n
x x xa→∞ →∞ →∞
+ + += = =
For the series to converge,
1 1 4 1 4
45 3.
x x
x
+< ⇒ − < + <
⇒ − < <
For ( )0
3, 1 ,n
nx
∞
=
= ∑ diverges.
For ( )0
5, 1 ,n
nx
∞
=
= − −∑ diverges.
89. ( ) ( )
( )
11 1 1
lim lim
lim 1 11
nn
nn nn
n
x naa x n
n x xn
++
→∞ →∞
→∞
+ +=
= + = ++
For the series to converge,
1 1 1 1 1
2 0.
x x
x
+ < ⇒ − < + <
⇒ − < <
For ( )1
10, ,
n
nx
n
∞
=
−= ∑ converges.
For ( ) ( )1 1
1 1 12, ,n n
n nx
n n
∞ ∞
= =
− −= − =∑ ∑ diverges.
Section 9.6 The Ratio and Root Tests 325
© 2010 Brooks/Cole, Cengage Learning
90. 1
1 2 1lim lim lim 1 1
2 1
nn
nn n nn
xa x xa x
++
→∞ →∞ →∞
−= = − = −
−
For the series to converge,
1 1 1 1 1
0 2.
x x
x
− < ⇒ − < − <
⇒ < <
For ( )0
2, 2 1 ,n
nx
∞
=
= ∑ diverges.
For ( )0
0, 2 1 ,n
nx
∞
=
= −∑ diverges.
91. ( )
( )
1
11 !
2lim lim!
2
lim 12
n
nnn nn
n
xnaa xn
xn
+
+
→∞ →∞
→∞
+=
= + = ∞
The series converges only at 0.x =
92. ( )
11 11 1
lim lim lim 01 ! ! 1
n nn
n n nn
xx xan na n
++
→∞ →∞ →∞
++ += = =
+ +
The series converges for all x.
93. See Theorem 9.17, page 641.
94. See Theorem 9.18, page 644.
95. No. Let 1 .10,000na
n=
+
The series 1
110,000n n
∞
= +∑ diverges.
96. One example is 1
1100 .n n
∞
=
⎛ ⎞− +⎜ ⎟⎝ ⎠
∑
97. The series converges absolutely. See Theorem 9.17.
98. (a) Converges (Ratio Test) (b) Inconclusive (See Ratio Test) (c) Diverges (Ratio Test) (d) Diverges (Root Test) (e) Inconclusive (See Root Test) (f) Diverges (Root Test, 1e > )
99. Assume that
1lim 1n nn
a a L+→∞
= > or that 1lim .n nn
a a+→∞
= ∞
Then there exists 0N > such that 1 1n na a+ > for all
.n N> Therefore,
1 , lim 0n n n nn
a a n N a a+→∞
> > ⇒ ≠ ⇒ ∑ diverges.
100. First, let
lim 1nn
na r
→∞= <
and choose R such that 0 1.r R≤ < < There must
exist some 0N > such that nna R< for all
.n N> So, for nnn N a R> < and because the
geometric series
0
n
nR
∞
=∑
converges, you can apply the Comparison Test to conclude that
1
nn
a∞
=∑
converges which in turn implies that 1
nn
a∞
=∑ converges.
Second, let
lim 1.nn
na r R
→∞= > >
Then there must exist some 0M > such that n
na R> for infinitely many .n M> So, for
infinitely many ,n M> you have 1nna R> > which
implies that lim 0nn
a→∞
≠ which in turn implies that
1
nn
a∞
=∑ diverges.
101. 3 21
1
n n
∞
=∑
( )
3 23 21
3 21lim lim lim 1
1 11n
n n nn
a n na nn+
→∞ →∞ →∞
⎛ ⎞= ⋅ = =⎜ ⎟+⎝ ⎠+
102. 1 21
1
n n
∞
=∑
( )
1 21
1 2
1 2
1lim lim11
lim 11
n
n nn
n
a na n
nn
+
→∞ →∞
→∞
= ⋅+
⎛ ⎞= =⎜ ⎟+⎝ ⎠
103. 41
1
n n
∞
=∑
( )
441
41lim lim lim 1
1 11n
n n nn
a n na nn+
→∞ →∞ →∞
⎛ ⎞= ⋅ = =⎜ ⎟+⎝ ⎠+
104. 1
1p
n n
∞
=∑
( )
1 1lim lim lim 11 11
ppn
pn n nn
a n na nn+
→∞ →∞ →∞
⎛ ⎞= ⋅ = =⎜ ⎟+⎝ ⎠+
326 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
105. 1
1 ,pn n
∞
=∑ p-series
1 1lim lim lim 1n nn p p nn n na
n n→∞ →∞ →∞= = =
So, the Root Test is inconclusive.
Note: lim 1p nn
n→∞
= because if ,p ny n= then
ln lnpy nn
= and ln 0p nn
→ as .n → ∞
So 1y → as .n → ∞
106. Ratio Test:
( )( ) ( )( )
1 lnlim lim 1,
1 ln 1
pn
pn nn
n naa n n+
→∞ →∞= =
+ +inconclusive.
Root Test:
( ) ( )1
1 1lim lim limln ln
n nn p p nnn n na
n n n n→∞ →∞ →∞= =
1lim 1.nn
n→∞
= Furthermore, let ( )ln p ny n= ⇒
( )ln ln ln .py nn
=
( )( )( ) ( )ln ln
lim ln lim lim 0 lim ln 1.ln 1
p n
n n n n
p n py nn n n→∞ →∞ →∞ →∞
= = = ⇒ =
So, ( )1
1lim 1,ln p nnn n n→∞
= inconclusive.
107. ( )( )
2
1
!,
!n
nxn
∞
=∑ x positive integer
(a) ( )2!1: !,
!n
x nn
= =∑ ∑ diverges
(b) ( )( )
2!2:
2 !n
xn
= ∑ converges by the Ratio Test:
( )( )
( )( )
( )( )( )
2 221 ! 1! 1lim lim 12 2 ! 2 ! 2 2 2 1 4n n
n nnn n n n→∞ →∞
⎡ + ⎤ +⎣ ⎦ = = <+ + +
(c) ( )( )
2!3:
3 !n
xn
= ∑ converges by the Ratio Test:
( )( )
( )( )
( )( )( )( )
2 221 ! 1!lim lim 0 1
3 3 ! 3 ! 3 3 3 2 3 1n n
n nnn n n n n→∞ →∞
⎡ + ⎤ +⎣ ⎦ = = <+ + + +
(d) Use the Ratio Test:
( )( )
( )( ) ( ) ( )
( )
2 221 ! !!
lim lim 1!1 ! !n n
n xnnn
xnx n xn x→∞ →∞
⎡ + ⎤⎣ ⎦ = +⎡ + ⎤ +⎣ ⎦
The cases 1, 2, 3x = were solved above. For 3,x > the limit is 0. So, the series converges for all integers 2.x ≥
Section 9.6 The Ratio and Root Tests 327
© 2010 Brooks/Cole, Cengage Learning
108. For 1 1 1
1, 2, 3, , .k k k
n n n n n nn n n
n a a a a a a= = =
= − ≤ ≤ ⇒ − ≤ ≤∑ ∑ ∑…
Taking limits as 1 1 1 1 1
, .n n n n nn n n n n
k a a a a a∞ ∞ ∞ ∞ ∞
= = = = =
→ ∞ − ≤ ≤ ⇒ ≤∑ ∑ ∑ ∑ ∑
109. The differentiation test states that if
1
nn
U∞
=∑
is an infinite series with real terms and ( )f x is a real function such that ( )1 nf n U= for all positive integers n and 2 2d f dx exists at 0,x = then
1
nn
U∞
=∑
converges absolutely if ( ) ( )0 0 0f f ′= = and diverges otherwise. Below are some examples.
Convergent Series Divergent Series
( ) 33
1 , f x xn
=∑ ( )1, f x xn
=∑
( )11 cos , 1 cosf x xn
⎛ ⎞− = −⎜ ⎟⎝ ⎠
∑ ( )1sin , sinf x xn
=∑
110. Using the Ratio Test,
( )
( )( ) ( )( )
1 11
11 ! 19 1 19 19 1! 19 19lim lim lim lim 1
7 7 7 7 71 1 1 1
n n nn
n n nnn n n nn
na n nnna en n n
− −+
−→∞ →∞ →∞ →∞
⎡ ⎤⎡ ⎤⎡ ⎤− ⋅ ⎛ ⎞ ⎛ ⎞⎛ ⎞ ⎛ ⎞ ⎢ ⎥= = ⎢ ⎥ = = ⋅ <⎢ ⎥⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟⎢ ⎥⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠+ ⎢ + ⎥⎢ ⎥ +⎣ ⎦ ⎣ ⎦ ⎣ ⎦
So, the series converges.
111. First prove Abel's Summation Theorem:
If the partial sums of na∑ are bounded and if { }nb decreases to zero, then n na b∑ converges.
Let 1
.k
k ii
S a=
= ∑ Let M be a bound for { }.kS
( ) ( )( ) ( ) ( )
( )
1 1 2 2 1 1 2 1 2 1
1 1 2 2 2 3 1 1
1
11
n n n n n
n n n n n
n
i i i n ni
a b a b a b S b S S b S S b
S b b S b b S b b S b
S b b S b
−
− −
−
+=
+ + + = + − + + −
= − + − + + − +
= − +∑
The series ( )11
i i ii
S b b∞
+=
−∑ is absolutely convergent because ( ) ( )1 1i i i i iS b b M b b+ +− ≤ − and ( )11
i ii
b b∞
+=
−∑ converges
to 1.b
Also, lim 0n nn
S b→∞
= because { }nS bounded and 0.nb → Thus, 1 1
limn
n n i inn i
a b a b∞
→∞= =
=∑ ∑ converges.
Now let 1nb
n= to finish the problem.
328 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
Section 9.7 Taylor Polynomials and Approximations
1. 212 1y x= − +
Parabola Matches (d)
2. 4 21 18 2 1y x x= − +
y-axis symmetry Three relative extrema Matches (c)
3. ( )1 2 1 1y e x−= ⎡ + + ⎤⎣ ⎦
Linear Matches (a)
4. ( ) ( )31 2 13 1 1 1y e x x− ⎡ ⎤= − − − +⎣ ⎦
Cubic Matches (b)
5. ( ) ( )
( ) ( )
1 2
3 2
8 8 4 4
14 42
f x x fx
f x x f
−
−
= = =
′ ′= − = −
( ) ( ) ( )( )
( )
1 4 4 4
1 14 4 62 2
P x f f x
x x
′= + −
= − − = − +
1P is the first degree Taylor polynomial for f at 4.
6. ( ) ( )
( ) ( )
1 33
4 3
6 6 8 3
12 88
f x x fx
f x x f
−
−
= = =
′ ′= − = −
( ) ( ) ( )( )
( )
1 8 8 8
1 13 8 48 8
P x f f x
x x
′= + −
= − − = − +
1P is the first degree Taylor polynomial for f at 8.
7. ( )
( )
sec 24
sec tan 24
f x x f
f x x x f
π
π
⎛ ⎞= =⎜ ⎟⎝ ⎠
⎛ ⎞′ ′= =⎜ ⎟⎝ ⎠
( )
( )
1
1
4 4 4
2 24
P x f f x
P x x
π π π
π
⎛ ⎞ ⎛ ⎞⎛ ⎞′= + −⎜ ⎟ ⎜ ⎟⎜ ⎟⎝ ⎠ ⎝ ⎠⎝ ⎠
⎛ ⎞= + −⎜ ⎟⎝ ⎠
1P is called the first degree Taylor polynomial for f at .4π
8. ( )
( ) 2
tan 14
sec 24
f x x f
f x x f
π
π
⎛ ⎞= =⎜ ⎟⎝ ⎠
⎛ ⎞′ ′= =⎜ ⎟⎝ ⎠
( )
1
1
1 24 4 4 4
2 12
P f f x x
P x x
π π π π
π
⎛ ⎞ ⎛ ⎞⎛ ⎞ ⎛ ⎞′= + − = + −⎜ ⎟ ⎜ ⎟⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠⎝ ⎠ ⎝ ⎠
= + −
1P is called the first degree Taylor polynomial for f at .4π
f
P1 (4, 4)
−1 110
8
f
P1
02
12
4
(8, 3)
−
−1
5
P1
f
, 2
�4
�2
4π ))
�2
�2
−
−3
3
Section 9.7 Taylor Polynomials and Approximations 329
© 2010 Brooks/Cole, Cengage Learning
9. ( ) ( )
( ) ( )( ) ( )
1 2
3 2
5 2
4 4 1 4
2 1 2
3 1 3
f x x fx
f x x f
f x x f
−
−
−
= = =
′ ′= − = −
′′ ′′= =
( ) ( )( ) ( )( )
( ) ( )
22
2
11 1 1 1
234 2 1 12
fP f f x x
x x
′′′= + − + −
= − − + −
10. ( )
( )
( ) 3 2
sec 24
sec tan 24
sec sec tan 3 24
f x x f
f x x x f
f x x x x f
π
π
π
⎛ ⎞= =⎜ ⎟⎝ ⎠
⎛ ⎞′ ′= =⎜ ⎟⎝ ⎠
⎛ ⎞′′ ′′= + =⎜ ⎟⎝ ⎠
( ) ( )
( )
2
2
2
2
44 4 4 2 4
32 2 24 2 4
fP x f f x x
P x x x
ππ π π π
π π
′′⎛ ⎞ ⎛ ⎞⎛ ⎞ ⎛ ⎞′= + − + −⎜ ⎟ ⎜ ⎟⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠⎝ ⎠ ⎝ ⎠
⎛ ⎞ ⎛ ⎞= + − + −⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠
x 0 0.8 0.9 1.0 1.1 1.2 2
( )f x Error 4.4721 4.2164 4.0 3.8139 3.6515 2.8284
( )2P x 7.5 4.46 4.215 4.0 3.815 3.66 3.5
x –2.15 0.585 0.685 4π 0.885 0.985 1.785
( )f x –1.8270 1.1995 1.2913 1.4142 1.5791 1.8088 –4.7043
( )2P x 15.5414 1.2160 1.2936 1.4142 1.5761 1.7810 4.9475
−2 6
−2
10
P2
f
(1, 4)
−30
3
4
330 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
11. ( )( )( )( )
22
2 44
2 4 66
121 12 241 1 12 24 720
cos
1
1
1
f x x
P x x
P x x x
P x x x x
=
= −
= − +
= − + −
(a)
(b) ( ) ( )( ) ( )( ) ( )( ) ( )
( ) ( ) ( ) ( )( ) ( ) ( ) ( )( ) ( ) ( ) ( )( ) ( ) ( ) ( )( ) ( ) ( ) ( )
2
2
2
4
4 44
4 44
5 56
6 6
6 66
sin
cos 1
0 0 1
sin
cos 1
0 1 0
sin
cos 1
0 1 0
f x x P x x
f x x P x
f P
f x x P x x
f x x P x
f P
f x x P x x
f x x P x
f P
′′ = − = −
′′′′ = − = −
′′′′ = = −
′′′′′′ = =
= =
= =
= − = −
= − = −
= − =
(c) In general, ( ) ( ) ( ) ( )0 0n nnf P= for all n.
12. ( ) ( )2 , 0 0xf x x e f= =
(a) ( ) ( ) ( )
( ) ( ) ( )
( ) ( ) ( )( ) ( ) ( ) ( ) ( )
2
2
2
4 42
2 0 0
4 2 0 2
6 6 0 6
8 12 0 12
x
x
x
x
f x x x e f
f x x x e f
f x x x e f
f x x x e f
′ ′= + =
′′ ′′= + + =
′′′ ′′′= + + =
= + + =
( )
( )
( )
22
2
32 2 3
3
4 42 3 2 3
4
22!
63!
124! 2
xP x x
xP x x x x
x xP x x x x x
= =
= + = +
= + + = + +
(b)
(c) ( ) ( )
( ) ( )( ) ( ) ( ) ( )
2
3
4 44
0 2 0
0 6 0
0 12 0
f P
f P
f P
′′′′ = =
′′′′′′ = =
= =
(d) ( ) ( ) ( ) ( )0 0n nnf P=
13. ( ) ( )
( ) ( )( ) ( )( ) ( )
( ) ( ) ( ) ( )
3
3
3
3
4 43
0 13 0 39 0 927 0 27
81 0 81
x
x
x
x
x
f x e ff x e ff x e ff x e f
f x e f
= =
′ ′= =
′′ ′′= =
′′′ ′′′= =
= =
( ) ( ) ( ) ( ) ( ) ( ) ( )42 3 4
4
2 3 4
0 0 00 0
2! 3! 4!9 9 271 32 2 8
f f fP x f f x x x x
x x x x
′′ ′′′′= + + + +
= + + + +
14. ( ) ( )( ) ( )( ) ( )( ) ( )
( ) ( ) ( ) ( )( ) ( ) ( ) ( )
4 4
5 5
0 10 10 10 1
0 1
0 1
x
x
x
x
x
x
f x e ff x e ff x e ff x e f
f x e f
f x e f
−
−
−
−
−
−
= =
′ ′= − = −
′′ ′′= =
′′′ ′′′= − = −
= =
= − = −
( ) ( ) ( ) ( ) ( ) ( ) ( )
( ) ( )
42 3 4
5
5 2 3 4 55
0 0 00 0
2! 3! 4!0
15! 2 6 24 120
f f fP x f f x x x x
f x x x xx x
′ ′′′′= + + + +
+ = − + − + −
3−3
−2
2
P6
P2
P4
f
−1
−3 3
f
P3
P2P4
2
Section 9.7 Taylor Polynomials and Approximations 331
© 2010 Brooks/Cole, Cengage Learning
15. ( ) ( )
( ) ( )
( ) ( )
( ) ( )
( ) ( ) ( ) ( )
2
2
2
2
4 42
0 11 102 2
1 104 4
1 108 8
1 1016 16
x
x
x
x
x
f x e f
f x e f
f x e f
f x e f
f x e f
−
−
−
−
−
= =
′ ′= − = −
′′ ′′= =
′′′ ′′′= − = −
= =
( ) ( ) ( ) ( ) ( ) ( ) ( )42 3 4
4
2 3 4
0 0 00 0
2! 3! 4!1 1 1 112 8 48 384
f f fP x f f x x x x
x x x x
′′ ′′′′= + + + +
= − + − +
16. ( ) ( )
( ) ( )
( ) ( )
( ) ( )
( ) ( ) ( ) ( )
3
3
3
3
4 43
0 11 103 31 109 91 1027 271 181 81
x
x
x
x
x
f x e f
f x e f
f x e f
f x e f
f x e f x
= =
′ ′= =
′′ ′′= =
′′′ ′′′= =
= =
( ) 2 3 44
2 3 4
1 1 9 1 27 1 8113 2! 3! 4!1 1 1 113 18 162 1944
P x x x x x
x x x x
= + + + +
= + + + +
17. ( ) ( )( ) ( )( ) ( )( ) ( )
( ) ( ) ( ) ( )( ) ( ) ( ) ( )
4 4
5 5
sin 0 0cos 0 1
sin 0 0cos 0 1
sin 0 0
cos 0 1
f x x ff x x ff x x ff x x f
f x x f
f x x f
= =
′ ′= =
′′ ′′= − =
′′′ ′′′= − = −
= =
= =
( ) ( ) 2 3 4 55
3 5
0 1 0 10 12! 3! 4! 5!
1 16 120
P x x x x x x
x x x
−= + + + + +
= − +
18. ( ) ( )( ) ( )( ) ( )( ) ( )3 3
sin 0 0cos 0
sin 0 0cos 0
f x x ff x x ff x x ff x x f
ππ π ππ ππ π π
2
= =
′ ′= =
′′ ′′= − =
′′′ ′′′= − = −
( )3 3
2 3 33
002! 3! 6
P x x x x x xπ ππ π−= + + + = −
19. ( ) ( )( ) ( )( ) ( )( ) ( )
( ) ( ) ( ) ( )4 4
0 00 1
2 0 23 0 3
4 0 4
x
x x
x x
x x
x x
f x xe ff x xe e ff x xe e ff x xe e f
f x xe e f
= =
′ ′= + =
′′ ′′= + =
′′′ ′′′= + =
= + =
( ) 2 3 44
2 3 4
2 3 402! 3! 4!1 12 6
P x x x x x
x x x x
= + + + +
= + + +
20. ( ) ( )( ) ( )( ) ( )( ) ( )
( ) ( ) ( ) ( )
2
2
2
2
4 42
0 02 0 02 4 0 2
6 6 0 6
12 8 0 12
x
x x
x x x
x x x
x x x
f x x e ff x xe x e ff x e xe x e ff x e xe x e f
f x e xe x e f
−
− −
− − −
− − −
− − −
= =
′ ′= − =
′′ ′′= − + =
′′′ ′′′= − + − = −
= − + =
( ) 2 3 44
2 3 4
2 6 120 02! 3! 4!12
P x x x x x
x x x
−= + + + +
= − +
21. ( ) ( ) ( )
( ) ( ) ( )( ) ( ) ( )( ) ( ) ( )
( ) ( ) ( ) ( ) ( )( ) ( ) ( ) ( ) ( )
1
2
3
4
54 4
65 5
1 1 0 11
1 0 1
2 1 0 2
6 1 0 6
24 1 0 24
120 1 0 120
f x x fx
f x x f
f x x f
f x x f
f x x f
f x x f
−
−
−
−
−
−
= = + =+
′ ′= − + = −
′′ ′′= + =
′′′ ′′′= − + = −
= + =
= − + = −
( )2 3 4 5
5
2 3 4 5
2 6 24 12012! 3! 4! 5!
1
x x x xP x x
x x x x x
= − + − + −
= − + − + −
332 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
22. ( ) ( )
( )( ) ( ) ( )( ) ( ) ( )( ) ( ) ( )
( ) ( ) ( ) ( ) ( )
1
2
3
4
54 4
1 1 0 01 1
1 1
1 0 1
2 1 0 2
6 1 0 6
24 1 0 24
x xf x fx x
x
f x x f
f x x f
f x x f
f x x f
−
−
−
−
−
+ −= = =
+ +
= − +
′ ′= + =
′′ ′′= − + = −
′′′ ′′′= + =
= − + = −
( ) ( ) 2 3 44
2 3 4
2 6 240 12 6 24
P x x x x x
x x x x
= + − + −
= − + −
23. ( ) ( )( ) ( )( ) ( )3 2
sec 0 1sec tan 0 0sec sec tan 0 1
f x x ff x x x ff x x x x f
= =
′ ′= =
′′ ′′= + =
( ) 2 22
1 11 0 12! 2
P x x x x= + + = +
24. ( ) ( )( ) ( )( ) ( )( ) ( )
2
2
2 2 4
tan 0 0sec 0 12 sec tan 0 04 sec tan 2 sec 0 2
f x x ff x x ff x x x ff x x x x f
= =
′ ′= =
′′ ′′= =
′′′ ′′′= + =
( ) ( ) 3 33
2 16 30 1 0P x x x x x= + + + = +
25. ( ) ( )
( ) ( )( ) ( )( ) ( )
1
2
3
4
2 2 1 2
2 1 24 1 4
12 1 12
f x x fx
f x x ff x x ff x x f
−
−
−
−
= = =
′ ′= − = −
′′ ′′= =
′′′ ′′′= − = −
( ) ( ) ( ) ( )
( ) ( ) ( )
2 33
2 3
4 122 2 1 1 12! 3!
2 2 1 2 1 2 1
P x x x x
x x x
= − − + − − −
= − − + − − −
26. ( ) ( )
( ) ( )( ) ( )( ) ( )
( ) ( ) ( ) ( )
22
3
4
5
4 46
1 2 1 4
2 2 1 46 2 3 8
24 2 3 4
120 2 15 8
f x x fx
f x x ff x x ff x x f
f x x f
−
−
−
−
−
= = =
′ ′= − = −
′′ ′′= =
′′′ ′′′= − = −
= =
( ) ( ) ( ) ( ) ( )
( ) ( ) ( ) ( )
2 3 44
2 3 4
1 1 3 8 3 4 15 82 2 2 24 4 2! 3! 4!1 1 3 1 52 2 2 24 4 16 8 64
P x x x x x
x x x x
= − − + − − − + −
= − − + − − − + −
27. ( ) ( )
( ) ( )
( ) ( )
( ) ( )
1 2
1 2
3 2
5 2
4 21 142 4
1 144 32
3 348 256
f x x x f
f x x f
f x x f
f x x f
−
−
−
= = =
′ ′= =
′′ ′′= − = −
′′′ ′′′= =
( ) ( ) ( ) ( )
( ) ( ) ( )
2 33
2 3
1 1 32 3 2562 4 4 44 2! 3!1 1 12 4 4 44 64 512
P x x x x
x x x
= + − − − + −
= + − − − + −
28. ( ) ( )
( ) ( )
( ) ( )
( ) ( )
1 3
2 3
5 3
8 38
8 21 183 12
2 189 144
10 10 1 5827 27 2 3456
f x x f
f x x f
f x x f
f x x f
−
−
−
= =
′ ′= =
′′ ′′= − = −
′′′ ′′′= = ⋅ =
( ) ( ) ( ) ( )2 33
1 1 52 8 8 812 288 20,736
P x x x x= + − − − + −
Section 9.7 Taylor Polynomials and Approximations 333
© 2010 Brooks/Cole, Cengage Learning
29. ( ) ( )
( ) ( )
( ) ( )( ) ( )
( ) ( ) ( ) ( )
1
2
3
4 44
ln 2 ln 21 2 1 2
2 1 42 2 1 4
6 2 3 8
f x x f
f x x fx
f x x ff x x f
f x x f
−
−
−
−
= =
′ ′= = =
′′ ′′= − = −
′′′ ′′′= =
= − = −
( ) ( ) ( ) ( ) ( )
( ) ( ) ( ) ( )
2 3 44
2 3 4
1 1 4 1 4 3 8ln 2 2 2 2 22 2! 3! 4!1 1 1 1ln 2 2 2 2 22 8 24 64
P x x x x x
x x x x
= + − − − + − − −
= + − − − + − − −
30. ( ) ( )( ) ( )( ) ( )
2 2
2
2 2
coscos sin 22 cos 4 sin cos 2
f x x x ff x x x x ff x x x x x x f
π ππ ππ π
= = −
′ ′= − = −
′′ ′′= − − = − +
( ) ( ) ( )( )2
222
22
2P x x x
ππ π π π
−= − − − + −
31. (a) ( )3
33 3
P x x xππ= +
(b) ( )2 3
2 33
1 1 8 11 2 24 4 3 4
Q x x x xπ π π⎛ ⎞ ⎛ ⎞ ⎛ ⎞= + − + − + −⎜ ⎟ ⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠ ⎝ ⎠
32. (a) ( ) 2 3 4 2 44
2 0 241 0 12! 3! 4!
P x x x x x x x−= + + + + = − +
(b) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( )2 3 4 2 44
1 1 1 2 0 3 1 1 1 11 1 1 1 1 1 12 2 2! 3! 4! 2 2 4 8
Q x x x x x x x x−⎛ ⎞= + − − + − + − + − = − − + − − −⎜ ⎟⎝ ⎠
33. ( )( )( )
( )
1
33
3 55
161 16 120
sinf x x
P x x
P x x x
P x x x x
=
=
= −
= − +
(a)
x 0.00 0.25 0.50 0.75 1.00
sin x 0.0000 0.2474 0.4794 0.6816 0.8415
( )1P x 0.0000 0.2500 0.5000 0.7500 1.0000
( )3P x 0.0000 0.2474 0.4792 0.6797 0.8333
( )5P x 0.0000 0.2474 0.4794 0.6817 0.8417
f
P3Q3
−0.5 0.5
−4
4
−3 3
−2
f
Q
P4
4P2
2
334 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
(b)
(c) As the distance increases, the accuracy decreases.
34. (a) ( ) ( )( ) ( )
11
x
x
f x e f ef x e f e
= =
′ ′= =
( ) ( ) ( ) ( )4 xf x f x f x e′′ ′′′= = = and ( ) ( ) ( ) ( )41 1 1f f f e′′ ′′′= = =
( ) ( )
( ) ( ) ( )
( ) ( ) ( ) ( ) ( )
1
22
2 3 44
1
1 12
1 1 1 12 6 24
P x e e x
eP x e e x x
e e eP x e e x x x x
= + −
= + − + −
= + − + − + − + −
(b)
(c) As the degree increases, the accuracy increases. As the distance from x to 1 increases, the accuracy decreases.
35. ( ) arcsinf x x=
(a) ( )3
3 6xP x x= +
(b) (c)
x 1.00 1.25 1.50 1.75 2.00 xe e 3.4903 4.4817 5.7546 7.3891
( )1P x e 3.3979 4.0774 4.7570 5.4366
( )2P x e 3.4828 4.4172 5.5215 6.7957
( )4P x e 3.4903 4.4809 5.7485 7.3620
x –0.75 –0.50 –0.25 0 0.25 0.50 0.75
( )f x –0.848 –0.524 –0.253 0 0.253 0.524 0.848
( )3P x –0.820 –0.521 –0.253 0 0.253 0.521 0.820
−3
P5
P3 P1f
2�−2�
3
−6 6
−1
7
y = ex
P1P2P4
1−1
2f
x
P3
π
2π
y
−
Section 9.7 Taylor Polynomials and Approximations 335
© 2010 Brooks/Cole, Cengage Learning
36. (a) ( ) arctanf x x=
( )3
3 3xP x x= −
(b) (c)
37. ( ) cosf x x=
38. ( ) arctanf x x=
39. ( ) ( )2ln 1f x x= +
40. ( ) 2 44 xf x xe−=
41. ( )
( )
3 2 3 49 9 272 2 8
12
1 3
4.3984
xf x e x x x x
f
= ≈ + + + +
≈
42. ( )
( )
2 2 3 412
15 0.0328
xf x x e x x x
f
−= ≈ − +
≈
43. ( ) ( ) ( ) ( ) ( ) ( )( )
2 3 41 1 1 12 8 24 64ln ln 2 2 2 2 2
2.1 0.7419
f x x x x x x
f
= ≈ + − − − + − − −
≈
44. ( ) ( ) ( )2
22 2 2cos 22
7 6.79548
f x x x x x
f
ππ π π π
π
⎛ ⎞−= ≈ − − − + −⎜ ⎟
⎝ ⎠
⎛ ⎞ ≈ −⎜ ⎟⎝ ⎠
x –0.75 –0.50 –0.25 0 0.25 0.50 0.75
( )f x –0.6435 –0.4636 –0.2450 0 0.2450 0.4636 0.6435
( )3P x –0.6094 –0.4583 –0.2448 0 0.2448 0.4583 0.6094
x
f
1−1 12
π
π
4
4
π2
π2
−
−
P3
y
6
6 8
4
2
−4
−6
−6x
P6 P2
P8 P4y
f (x) = cos x
−2
2
1
x
f x x( ) = arctan
1 3−3 −2
PP33PP11PP13P9
yPP7 PP1P5
3
2
−2 2 3 4−3−4
−3
x
P6P2
P8P4
y
f (x) = ln (x2 + 1)
x
2
4
−4 4
yy = 4xe(−x2/4)
336 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
45. ( ) ( ) ( )5cos ; sin Maxf x x f x x= = − ⇒ on [0, 0.3] is 1.
( ) ( )5 54
1 0.3 2.025 105!
R x −≤ = ×
Note: you could use ( ) ( ) ( )65 : cos ,R x f x x= − max on [0, 0.3] is 1.
( ) ( )6 65
1 0.3 1.0125 106!
R x −≤ = ×
Exact error: 60.000001 1.0 10−= ×
46. ( ) ( ) ( )6; Maxx xf x e f x e= = ⇒ on [0, 1] is 1.e
( ) ( )1
6 35 1 0.00378 3.78 10
6!eR x −≤ ≈ = ×
47. ( ) ( ) ( ) ( )( )
24
7 22
6 9arcsin ; Max
1
x xf x x f x
x
+= = ⇒
−on [0, 0.4] is ( ) ( )4 0.4 7.3340.f ≈
( ) ( )4 33
7.3340 0.4 0.00782 7.82 10 .4!
R x −≤ ≈ = × The exact error is 48.5 10 .−× [Note: You could use 4.]R
48. ( ) ( ) ( ) ( )( )
( ) ( )
24
42
4
24 1arctan ;
1
Max on [0, 0.4] is 0.4 22.3672.
x xf x x f x
x
f
+= =
−
⇒ ≈
( ) ( )43
22.3672 0.4 0.02394!
R x ≤ ≈
49. ( ) sing x x=
( ) ( )1 1ng x+ ≤ for all x.
( ) ( ) ( ) 11 0.3 0.0011 !
nnR x
n+≤ <
+
By trial and error, 3.n =
50. ( ) cosf x x=
( ) ( )1 1nf x+ ≤ for all x and all n.
( )( ) ( )( )
( )( )
1 1
1
1 !
0.10.001
1 !
n n
n
n
f z xR x
n
n
+ +
+
=+
≤ <+
By trial and error, 2.n =
51. ( )( ) ( )1
x
n x
f x e
f x e+
=
=
Max on [0, 0.6] is 0.6 1.8221.e ≈
( ) ( ) 11.8221 0.6 0.001
1 !n
nRn
+≤ <+
By trial and error, 5.n =
52. ( ) ( ) ( )( ) ( ) ( )
1 2
11
ln , , ,
!1 nnn
f x x f x x f x x
nf xx
− −
++
′ ′′= = = −
= −
…
The maximum value of ( ) ( )1nf x+ on [1, 1.25] is n!
( ) ( )
( )
1
1
! 0.25 0.0011 !
0.250.001
1
nn
n
nRn
n
+
+
≤ <+
<+
By trial and error, 3n =
53. ( ) ( )ln 1f x x= +
( ) ( ) ( )( )
11
1 !Max
1
nn
n
nf x
x+
+
−= ⇒
+on [0, 0.5] is n!.
( ) ( ) ( ) 1
1 0.5! 0.5 0.00011 ! 1
nn
nnR
n n
++≤ = <
+ +
By trial and error, 9.n = (See Example 9.) Using 9 terms, ( )ln 1.5 0.4055.≈
Section 9.7 Taylor Polynomials and Approximations 337
© 2010 Brooks/Cole, Cengage Learning
54. ( ) ( )2cosf x xπ=
( )
( ) ( )( ) ( ) ( )
( ) ( ) ( ) ( )
2 4 6
2
2 4 62 2 2
2 4 4 8 6 12
2 4 64 8 12
cos 12! 4! 6!
12! 4! 6!
12! 4! 6!
0.6 1 0.6 0.6 0.62! 4! 6!
x x xg x x
f x g x
x x x
x x x
f
π
π π π
π π π
π π π
= = − + − +
=
= − + − +
= − + − +
= − + − +
Because this is an alternating series,
( ) ( )
24
1 0.6 0.0001.2 !
nn
n nR an
π+≤ = <
By trial and error, 4.n = Using 4 terms ( )0.6 0.4257.f ≈
55. ( ) ( ), 1.3xf x e fπ−=
( ) ( ) xf x e ππ −′ = −
( ) ( ) ( ) ( )1 11 n nn xf x e ππ π+ ++ −= − ≤ − on [0, 1.3]
( )( ) ( )
111.3 0.0001
1 !
nn
nRnπ +
+≤ <+
By trial and error, 16.n = Using 16 terms, ( )1.3 0.01684.e π− ≈
56. ( ) xf x e−=
( ) xf x e−′ = −
( ) ( ) ( ) 11 1 1nn xf x e++ −= − ≤ on [0, 1]
( )
11 1 0.00011 !
nnR
n+≤ ≤
+
By trial and error, 7.n =
57. ( )
( )
2 3
43
4
4
4
1 , 02 6
0.0014!0.024
0.3936
0.3936 0.3936, 0
0.3936 0
x
z
z
z
z
x xf x e x x
eR x x
e x
xe
x ze
x
= ≈ + + + <
= <
<
<
< < <
− < <
58. ( )
( )
3
44
3
4
sin3!
sin 0.0014! 4!
0.024
0.3936
0.3936 0.3936
xf x x x
xzR x x
x
x
x
= ≈ −
= ≤ <
<
<
− < <
59. ( )2 4
cos 1 ,2! 4!x xf x x= ≈ − + fifth degree polynomial
( ) ( )1 1nf x+ ≤ for all x and all n.
( ) 65
6
1 0.0016!
0.72
0.9467
0.9467 0.9467
R x x
x
x
x
≤ <
<
<
− < <
Note: Use a graphing utility to graph ( )2 4cos 1 2 24y x x x= − − + in the viewing
window [ ] [ ]0.9467, 0.9467 0.001, 0.001− × − to verify
the answer.
60. ( ) 2 2 341 2 23
xf x e x x x−= ≈ − + −
( ) ( )2 22 , 4 ,x xf x e f x e− −′ ′′= − =
( ) ( ) ( )42 28 , 16x xf x e f x e− −′′′ = − =
( ) ( )( )4 2
4 4 2 43
2 4
16 20 0.0014! 24 3
0.0015
zz
z
f z eR x x x e x
e x
−−
−
= − = = <
<
1 4
22
0.0015 0.1970 0.1970,zzx e
e−⎛ ⎞< ≈ <⎜ ⎟⎝ ⎠
for 0.z <
So, 0 0.1970.x< <
In fact, by graphing ( ) 2xf x e−= and
2 341 2 2 ,3
y x x x= − + − you can verify that
( ) 0.001f x y− < on ( )0.19294, 0.20068 .−
61. The graph of the approximating polynomial P and the elementary function f both pass through the point
( )( ),c f c and the slopes of P and f agree at
( )( ), .c f c Depending on the degree of P, the nth
derivatives of P and f agree at ( )( ), .c f c
62. ( ) ( ) ( ) ( )2 2, ,f c P c f c P c′′= = and ( ) ( )2f c P c′′′′ =
63. See definition on page 652.
338 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
64. See Theorem 9.19, page 656.
65. As the degree of the polynomial increases, the graph of the Taylor polynomial becomes a better and better approximation of the function within the interval of convergence. Therefore, the accuracy is increased.
66.
67. (a) ( )
( )
( )
( )
( ) ( )
2 3 44
2 3 4 55
5 4
1 1 112 6 24
1 1 12 6 24
x
x
f x e
P x x x x x
g x xe
Q x x x x x x
Q x x P x
=
= + + + +
=
= + + + +
=
(b) ( )
( )
( )
( ) ( )
3 5
5
4 62
6 5
sin
3! 5!sin
3! 5!
f x x
x xP x x
g x x x
x xQ x x P x x
=
= − +
=
= = − +
(c) ( ) ( )2 4
5sin 1 1
3! 5!x x xg x P x
x x= = = − +
68. (a) ( )3 5
5 3! 5!x xP x x= − + for ( ) sinf x x=
( )2 4
5 12! 4!x xP x′ = − +
This is the Maclaurin polynomial of degree 4 for ( ) cos .g x x=
(b) ( )2 4 6
6 12 4! 6!x x xQ x = − + − for cos x
( ) ( )3 5
6 53! 5!x xQ x x P x′ = − + − = −
(c) ( )2 3 4
12! 3! 4!x x xR x x= + + + +
( )2 3
12! 3!x xR x x′ = + + +
The first four terms are the same!
69. (a) ( ) ( )22
22
132
xQ x
π += − +
(b) ( ) ( )22
26
132
xR x
π −= − +
(c) No. The polynomial will be linear. Horizontal translations of the result in part (a) are possible only at 2 8x n= − + (where n is an integer) because the period of f is 8.
70. Let f be an odd function and nP be the nth Maclaurin polynomial for f. Because f is odd, f ′ is even:
( ) ( ) ( )
( ) ( )
( )( ) ( ) ( )
0
0
0
lim
lim
lim .
h
h
h
f x h f xf x
hf x h f x
hf x h f x
f xh
→
→
→
− + − −′ − =
− − +=
+ − −′= =
−
Similarly, f ′′ is odd, f ′′′ is even, etc. Therefore, ( )4, , ,f f f′′ etc. are all odd functions, which implies that
( ) ( )0 0 0.f f ′′= = = So, in the formula
( ) ( ) ( ) ( ) 200 0
2!nf x
P x f f x′′
′= + + + all the
coefficients of the even power of x are zero.
71. Let f be an even function and nP be the nth Maclaurin polynomial for f. Because f is even, f ′ is odd, f ′′ is even, f ′′′ is odd, etc. All of the odd derivatives of f are odd and so, all of the odd powers of x will have coefficients of zero. nP will only have terms with even powers of x.
72. Let
( ) ( ) ( ) ( )20 1 2
nn nP x a a x c a x c a x c= + − + − + + −
where ( ) ( ).
!
i
if c
ai
=
( ) ( )0nP c a f c= =
For
( ) ( )( ) ( ) ( ) ( )1 , ! ! .
!
kk k
n nf c
k n P c a k k f ck
⎛ ⎞≤ ≤ = = =⎜ ⎟⎜ ⎟
⎝ ⎠
73. As you move away from ,x c= the Taylor Polynomial becomes less and less accurate.
x20−20 10
2
−2
−4
4
6
8
10 f
y
P1
P3
P2
Section 9.8 Power Series 339
© 2010 Brooks/Cole, Cengage Learning
Section 9.8 Power Series
1. Centered at 0
2. Centered at 0
3. Centered at 2
4. Centered at π
5. ( )0
11
nn
n
xn
∞
=
−+∑
( )( )
1 11 1 1lim lim
2 1
1lim2
n nn
n nn nn
n
xu nLu n x
n x xn
+ ++
→∞ →∞
→∞
− += = ⋅
+ −
+= =
+
1 1x R< ⇒ =
6. ( )0
4 n
nx
∞
=∑
( )( )
11 4
lim lim lim 4 44
nn
nn n nn
xuL x xu x
++
→∞ →∞ →∞= = = =
14 14
x R< ⇒ =
7. ( )2
1
4 n
n
xn
∞
=∑
( ) ( )( ) ( )
( )
1
1 2 2
22
lim
4 1lim lim 4 4
4 1
n
n n
n
nn n
uLu
x n n x xx n n
+
→∞
+
→∞ →∞
=
+= = =
+
14 14
x R< ⇒ =
8. ( )0
15
n n
nn
x∞
=
−∑
( )( )
1 1 11 1 5
lim lim lim5 51 5
n n nn
n n nn n nn
x xxuLu x
+ + ++
→∞ →∞ →∞
−= = = =
−
1 55x
R< ⇒ =
9. ( )
2
0 2 !
n
n
xn
∞
=∑
( ) ( )( )
( )( )
1
2 2
2
2
lim
2 2 !lim
2 !
lim 02 2 2 1
n
n n
n
nn
n
uLu
x nx n
xn n
+
→∞
+
→∞
→∞
=
+=
= =+ +
So, the series converges for all .x R⇒ = ∞
10. ( ) 2
0
2 !!
n
n
n xn
∞
=∑
( ) ( )( )
( )( )( )
2 2
2
2
2 2 ! 1 !1lim lim2 ! !
2 2 2 1lim
1
nn
nn nn
n
n x nuLu n x n
n n xn
+
→∞ →∞
→∞
+ ++= =
+ += = ∞
+
The series only converges at 0. 0.x R= =
11. 0 4
n
n
x∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
∑
Because the series is geometric, it converges only if
1,4x
< or 4 4.x− < <
12. 0 7
n
n
x∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
∑
Because the series is geometric, it converges only if
1,7x
< or 7 7.x− < <
13. ( )1
1 n n
n
xn
∞
=
−∑
( )( )
1 11 1
lim lim1 1
lim1
n nn
n nn nn
n
xu nu n x
nx xn
+ ++
→∞ →∞
→∞
−= ⋅
+ −
= =+
Interval: 1 1x− < <
When 1,x = the alternating series ( )1
1 n
n n
∞
=
−∑ converges.
When 1,x = − the p-series 1
1
n n
∞
=∑ diverges.
Therefore, the interval of convergence is ( ]1, 1 .−
340 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
14. ( ) ( )1
01 1n n
nn x
∞+
=
− +∑
( ) ( )( ) ( )
( )
2 11 21lim lim1 1
2lim
1
n nn
n nn nn
n
n xuu n x
n xx
n
+ +
→∞ →∞
→∞
− ++=
− +
+= =
+
Interval: 1 1x− < <
When 1,x = the series ( ) ( )1
01 1n
nn
∞+
=
− +∑ diverges.
When 1,x = − the series ( )0
1n
n∞
=
− +∑ diverges.
Therefore, the interval of convergence is ( )1, 1 .−
15. 5
0 !
n
n
xn
∞
=∑
( ) ( )5 1 5
1 1 !lim lim lim 0
5 ! 1
nn
nn n nn
x nu xu n n
++
→∞ →∞ →∞
+= = =
+
The series converges for all x. The interval of convergence is ( ), .−∞ ∞
16. ( )( )0
32 !
n
n
xn
∞
=∑
( )( )
( )( )
( )( )
11 3 2 !
lim lim2 1 ! 3
3lim 02 2 2 1
nn
nn nn
n
x nuu n x
xn n
++
→∞ →∞
→∞
= ⋅+
= =+ +
Therefore, the interval of convergence is ( ), .−∞ ∞
17. ( )0
2 !3
n
n
xn∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
∑
( ) ( )( ) ( )
( )( )
11 2 2 ! 3
lim lim2 ! 3
2 2 2 13
nn
nn nn
n xuu n x
n n x
++
→∞ →∞
+=
+ += = ∞
The series converges only for 0.x =
18. ( )( )( )0
11 2
n n
n
xn n
∞
=
−+ +∑
( )( )( )
( )( )( )
( )1 11 1 1 2 1
lim lim lim2 3 31
n nn
n nn n nn
x n n n xu xu n n nx
+ ++
→∞ →∞ →∞
− + + += ⋅ = =
+ + +−
Interval: 1 1x− < <
When 1,x = the alternating series ( )( )( )0
11 2
n
n n n
∞
=
−+ +∑ converges.
When 1,x = − the series ( )( )0
11 2n n n
∞
= + +∑ converges by limit comparison to 21
1 .n n
∞
=∑
Therefore, the interval of convergence is [ ]1, 1 .−
19. ( ) 1
1
14
n n
nn
x+∞
=
−∑
Because the series is geometric, it converges only if 4 1x < or 4 4.x− < <
20. ( ) ( )0
1 ! 53
n n
nn
n x∞
=
− −∑
( ) ( ) ( )( ) ( )
( )( )1 1 11 1 1 ! 5 3 1 5
lim lim lim31 ! 5 3
n n nn
n n nn n nn
n x n xuu n x
+ + ++
→∞ →∞ →∞
− + − + −= = = ∞
− −
The series converges only for 5.x =
Section 9.8 Power Series 341
© 2010 Brooks/Cole, Cengage Learning
21. ( ) ( )1
1
1 49
n n
nn
xn
+∞
=
− −∑
( ) ( ) ( )( )
( ) ( ) ( )( )
2 1 11 1 4 1 9
lim lim1 4 9
4 1lim 41 9 9
n n nn
n n nn nn
n
x nuu x n
xn xn
+ + ++
→∞ →∞
→∞
− − +=
− −
−= = −
+
9R =
Interval: 5 13x− < <
When ( ) ( )1 1
1 1
1 9 113,
9
n nn
nn n
xn n
+ +∞ ∞
= =
− −= =∑ ∑ converges.
When ( ) ( )1
1 1
1 9 15,9
n n
nn n
xn n
+∞ ∞
= =
− − −= − =∑ ∑ diverges.
Therefore, the interval of convergence is ( ]5, 13 .−
22. ( )( )
1
10
31 4
n
nn
xn
+∞
+=
−+∑
( ) ( )( ) ( )
( )( )( )
2 21
1 1
3 2 4lim lim
3 1 4
3 1 3lim4 2 4
n nn
n nn nn
n
x nuu x n
x n xn
+ ++
+ +→∞ →∞
→∞
⎡ ⎤− +⎣ ⎦=⎡ ⎤− +⎣ ⎦
− + −= =
+
4R = Interval: 1 7x− < <
When ( )
1
10 0
4 17,1 4 1
n
nn n
xn n
+∞ ∞
+= =
= =+ +∑ ∑ diverges.
When ( )( )
( )( )
1 1
10 0
4 11,
1 4 1
n n
nn n
xn n
+ +∞ ∞
+= =
− −= − =
+ +∑ ∑ converges.
Therefore, the interval of convergence is [ )1, 7 .−
23. ( ) ( )
( ) ( )( ) ( )
( )( )
1 1
0
2 21
1 1
1 11
1 1 1 11lim lim lim 12 21 1
1
n n
n
n nn
n nn n nn
xn
x n xu n xu n nx
R
+ +∞
=
+ ++
+ +→∞ →∞ →∞
− −+
− − + −+= ⋅ = = −
+ +− −
=
∑
Center: 1x =
Interval: 1 1 1x− < − < or 0 2x< <
When 0,x = the series 0
11n n
∞
= +∑ diverges by the integral test.
When 2,x = the alternating series ( ) 1
0
11
n
n n
+∞
=
−+∑ converges.
Therefore, the interval of convergence is ( ]0, 2 .
24. ( ) ( )1
1
1 22
n n
nn
xn
+∞
=
− −∑
( ) ( )( )
( ) ( )2 1 11
1
1 2 1 2 2 2lim lim lim1 2 2 2 1 2
n n n nn
n nn n nn
x xa x n xn na n
+ + ++
+→∞ →∞ →∞
− − − − − −= = =
+ +
2 1 2 2 2 0 42
x x x−< ⇒ − < − < ⇒ < <
when 0,x =
( ) ( ) ( )( ) ( )1
1 1 1
1 21 2 1diverges.
2 2
n n n
n nn n nn n n
+∞ ∞ ∞
= = =
−− − −= =∑ ∑ ∑
when 4,x =
( ) ( )1 1
1 1
1 2 1converges.
2
n n
nn n
nn n
+ +∞ ∞
= =
− −=∑ ∑
Therefore the interval of convergence is ( ]0, 4 .
342 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
25. 1
1
33
n
n
x −∞
=
−⎛ ⎞⎜ ⎟⎝ ⎠
∑ is geometric. It converges if
3 1 3 3 0 6.3
x x x−< ⇒ − < ⇒ < <
Therefore, the interval of convergence is ( )0, 6 .
26. ( ) 2 1
0
12 1
n n
n
xn
+∞
=
−+∑
( )( )
( )( )
( )( )
1 2 31
2 1
2 2
1 2 1lim lim
2 3 1
2 1lim
2 3
n nn
n nn nn
n
x nuu n x
nx x
n
+ ++
+→∞ →∞
→∞
− += ⋅
+ −
+= =
+
1R = Interval: 1 1x− < <
When ( )0
11,
2 1
n
nx
n
∞
=
−=
+∑ converges.
When ( ) 1
0
11,
2 1
n
nx
n
+∞
=
−= −
+∑ converges.
Therefore, the interval of convergence is [ ]1, 1 .−
27. ( ) 1
12
1n
n
n xn
∞−
=
−+∑
( )( )( )
( )( )( )
11
2
1 2 1lim lim2 2
2 1lim 2
2
nn
nn nn
n
n xu nu n n x
x nx
n n
+−→∞ →∞
→∞
+ − += ⋅
+ −
− += =
+
12
R =
Interval: 1 12 2
x− < <
When 1,2
x = − the series 1 1n
nn
∞
= +∑ diverges by the nth
Term Test.
When 1,2
x = the alternating series
( ) 1
1
11
n
n
nn
−∞
=
−+∑ diverges.
Therefore, the interval of convergence is 1 1, .2 2
⎛ ⎞−⎜ ⎟⎝ ⎠
28. ( ) 2
0
1!
n n
n
xn
∞
=
−∑
( )( ) ( )
1 2 21
2
2
1 !lim lim1 ! 1
lim 01
n nn
n nn nn
n
xu nu n x
xn
+ ++
→∞ →∞
→∞
−= ⋅
+ −
= =+
Therefore, the interval of convergence is ( ), .−∞ ∞
29. ( )
3 1
0 3 1 !
n
n
xn
+∞
= +∑
( )( )
( )( )( )
3 41
3 1
3
3 4 !lim lim
3 1 !
lim 03 4 3 3 3 2
nn
nn nn
n
x nuu x n
xn n n
++
+→∞ →∞
→∞
+=
+
= =+ + +
Therefore, the interval of convergence is ( ), .−∞ ∞
30. ( )1
!2 !
n
n
n xn
∞
=∑
( )( )
( )
( )( )( )
11 1 ! 2 !
lim lim2 2 ! !
1lim 0
2 2 2 1
nn
nn nn
n
n x nuu n n x
n xn n
++
→∞ →∞
→∞
+= ⋅
+
+= =
+ +
Therefore, the interval of convergence is ( ), .−∞ ∞
31. ( ) ( )1 1
2 3 4 11
!
nn
n n
n xn x
n
∞ ∞
= =
⋅ ⋅ += +∑ ∑
( )( )
11 2 2lim lim lim
1 1
nn
nn n nn
n xa n x xa n x n
++
→∞ →∞ →∞
+ += = =
+ +
Converges if 1 1 1.x x< ⇒ − < <
At 1,x = ± diverges.
Therefore the interval of convergence is ( )1, 1 .−
Section 9.8 Power Series 343
© 2010 Brooks/Cole, Cengage Learning
32. ( )( )( )2 1
1
2 4 6 23 5 7 2 1
n
n
nx
n
∞+
=
⋅ ⋅⋅ ⋅ +∑
( )( )( )( )
( )( )
( )( )
2 3 21 2
2 1
2 4 2 2 2 3 5 2 1 2 2lim lim lim
3 5 7 2 1 2 3 2 4 2 2 3
1
nn
nn n nn
n n x n n xu xu n n n x n
R
++
+→∞ →∞ →∞
⋅ + ⋅ + += ⋅ = =
⋅ ⋅ + + ⋅ +
=
When 1,x = ± the series diverges by comparing it to
1
12 1n n
∞
= +∑
which diverges. Therefore, the interval of convergence is ( )1, 1 .−
33. ( ) ( )( )1
1
1 3 7 11 4 1 34
n n
nn
n x+∞
=
− ⋅ ⋅ − −∑
( ) ( )( )( )( ) ( )( )
( )( )
2 11
11
1 3 7 11 4 1 4 3 3 4lim lim4 1 3 7 11 4 1 3
4 3 3lim
4
n n nn
n nnn nn
n
n n xuu n x
n x
+ ++
++→∞ →∞
→∞
− ⋅ ⋅ ⋅ − + −= ⋅
− ⋅ ⋅ ⋅ − −
+ −= = ∞
0R = Center: 3x = Therefore, the series converges only for 3.x =
34. ( )( )1
! 11 3 5 2 1
n
n
n xn
∞
=
+⋅ ⋅ −∑
( ) ( )( )( )
( ) ( )( )
( )( )11 1 11 ! 1 ! 1 1lim lim lim 1
1 3 5 2 1 2 1 1 3 5 2 1 2 1 2
n nn
n n nn
n xn x n xa xn n na n
++
→∞ →∞ →∞
+ ++ + += = = +
⋅ ⋅ − + ⋅ ⋅ − +
Converges if 1 1 1 2 1 2 3 1.2
x x x+ < ⇒ − < + < ⇒ − < <
At ( ) ( )
!2 2 4 6 21, 1,1 3 5 2 1 1 3 5 2 1
n
nn nx a
n n⋅ ⋅
= = = >⋅ ⋅ − ⋅ ⋅ −
diverges.
At ( )( ) ( ) ( )
! 2 2 4 23, 1 ,1 3 2 1 1 3 2 1
nn
nn nx a
n n− ⋅
= − = = −⋅ − ⋅ −
diverges.
Therefore, the interval of convergence is ( )3, 1 .−
35. ( )
( )( )
1
11
11
11lim lim
n
nn
n nn
nnn nn
x cc
x cu c x cu c cx c
−∞
−=
−+
−→∞ →∞
−
−= ⋅ = −
−
∑
R c= Center: x c= Interval: c x c c− < − < or 0 2x c< <
When 0,x = the series ( ) 1
11 n
n
∞−
=
−∑ diverges.
When 2 ,x c= the series 1
1n
∞
=∑ diverges.
Therefore, the interval of convergence is ( )0, 2 .c
344 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
36. ( )( )0
!,
!
k n
n
n xk
kn
∞
=∑ is a positive integer.
( )
( )( )( )
( )( )( ) ( )
11 1 ! 1!
lim lim lim!1 ! 1 1
k kkn nn
kn n nn
n x xn xn xaknk na k nk k nk nk k
++
→∞ →∞ →∞
⎡ + ⎤ +⎣ ⎦= = =⎡ + ⎤ + − + +⎣ ⎦
Converges if 1 .kk
xR k
k< ⇒ =
37. 0
n
n
xk
∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
∑
Because the series is geometric, it converges only if 1x k < or .k x k− < <
Therefore, the interval of convergence is ( ), .k k−
38. ( ) ( )
( ) ( )( ) ( ) ( )
( )( )
1
1
2 11
11
1
1 1lim lim lim1 11
n n
nn
n n nn
n nnn n nn
x cnc
x c n x cu nc x cu n c c n cx c
R c
+∞
=
+ ++
++→∞ →∞ →∞
− −
− − −= ⋅ = = −
+ +− −
=
∑
Center: x c=
Interval: c x c c− < − < or 0 2x c< <
When 0,x = the p-series 1
1
n n
∞
=
−∑ diverges.
When 2 ,x c= the alternating series ( ) 1
1
1 n
n n
+∞
=
−∑ converges.
Therefore, the interval of convergence is ( )0, 2 .c
39. ( ) ( )
( ) ( )( )( ) ( ) ( )
( )1
11
1 1!
1 1 !lim lim lim1 ! 1 1 1
1
n
n
nn
nn n nn
k k k n xn
k k k n k n x k n xu n xu n k k k n x n
R
∞
=
++
→∞ →∞ →∞
+ + −
+ + − + += ⋅ = =
+ + + − +
=
∑
When 1,x = ± the series diverges and the interval of convergence is ( )1, 1 .−
( ) ( )1 11
1 2k k k n
n⎡ + + − ⎤
≥⎢ ⎥⋅⎣ ⎦
40. ( )( )
( ) ( )( )( )
( )( )
( )( )1
11
!1 3 5 2 1
1 ! 1 3 5 2 1 1 1lim lim lim1 3 5 2 1 2 1 ! 2 1 2
2
n
n
nn
n n nn
n x cn
n x c n n x cu x cu n n n x c n
R
∞
=
++
→∞ →∞ →∞
−⋅ ⋅ −
+ − ⋅ ⋅ − + −= ⋅ = = −
⋅ ⋅ − + − +
=
∑
Interval: 2 2x c− < − < or 2 2c x c− < < +
The series diverges at the endpoints. Therefore, the interval of convergence is ( )2, 2 .c c− +
( )( ) ( )
( )( )
2! 2 2 4 6 2!2 11 3 5 2 1 1 3 5 2 1 1 3 5 2 1
nn c c nnn n n
⎡ ⎤+ − ⋅ ⋅⎢ ⎥= = >
⋅ ⋅ − ⋅ ⋅ − ⋅ ⋅ −⎢ ⎥⎣ ⎦
Section 9.8 Power Series 345
© 2010 Brooks/Cole, Cengage Learning
41. ( )
2 1
0 11
! 1 2 1 !
n n
n n
x x x xn n
−∞ ∞
= =
= + + + =−∑ ∑
42. ( ) ( ) ( ) ( )1 1
0 11 1 1n nn n
n nn x n x
∞ ∞+ −
= =
− + = −∑ ∑
43. ( ) ( )
2 1 2 1
0 12 1 ! 2 1 !
n n
n n
x xn n
+ −∞ ∞
= =
=+ −∑ ∑
Replace n with 1.n −
44. ( ) ( ) 12 1 2 1
0 1
1 12 1 2 1
n nn n
n n
x xn n
−+ −∞ ∞
= =
− −=
+ −∑ ∑
Replace n with 1.n −
45. (a) ( ) ( ) ( )0
, 3, 3 Geometric3
n
n
xf x∞
=
⎛ ⎞= −⎜ ⎟⎝ ⎠
∑
(b) ( ) ( )1
1, 3, 3
3 3
n
n
n xf x−∞
=
⎛ ⎞′ = −⎜ ⎟⎝ ⎠
∑
(c) ( ) ( ) ( )2
2
1, 3, 3
9 3
n
n
n n xf x−∞
=
− ⎛ ⎞′′ = −⎜ ⎟⎝ ⎠
∑
(d) ( ) [ )
( )
1
0
11
3 , 3, 31 3
1 33 3 , converges1 3 1
n
n
nn
xf x dxn
n n
+∞
=
++
⎛ ⎞= −⎜ ⎟+ ⎝ ⎠
⎡ ⎤−−⎛ ⎞⎢ ⎥=⎜ ⎟+ +⎝ ⎠⎢ ⎥⎣ ⎦
∑∫
∑ ∑
46. (a) ( ) ( ) ( ) ( ]1
1
1 5, 0, 10
5
n n
nn
xf x
n
+∞
=
− −= ∑
(b) ( ) ( ) ( ) ( )1 1
1
1 5, 0, 10
5
n n
nn
xf x
+ −∞
=
− −′ = ∑
(c) ( ) ( ) ( )( ) ( )1 2
2
1 1 5, 0, 10
5
n n
nn
n xf x
+ −∞
=
− − −′′ = ∑
(d) ( ) ( ) ( )( ) [ ]
1 1
1
1 5, 0, 10
1 5
n n
nn
xf x dx
n n
+ +∞
=
− −=
+∑∫
47. (a) ( ) ( ) ( ) ( ]1 1
0
1 1, 0, 2
1
n n
n
xf x
n
+ +∞
=
− −=
+∑
(b) ( ) ( ) ( ) ( )1
01 1 , 0, 2n n
nf x x
∞+
=
′ = − −∑
(c) ( ) ( ) ( ) ( )1 1
11 1 , 0, 2n n
nf x n x
∞+ −
=
′′ = − −∑
(d) ( ) ( ) ( )( )( ) [ ]
1 2
1
1 1, 0, 2
1 2
n n
n
xf x dx
n n
+ +∞
=
− −=
+ +∑∫
48. (a) ( ) ( ) ( ) ( ]1
1
1 2, 1, 3
n n
n
xf x
n
+∞
=
− −= ∑
(b) ( ) ( ) ( ) ( )1 1
11 2 , 1, 3n n
nf x x
∞+ −
=
′ = − −∑
(c) ( ) ( ) ( )( ) ( )1 2
21 1 2 , 1, 3n n
nf x n x
∞+ −
=
′′ = − − −∑
(d) ( ) ( ) ( )( ) [ ]1 1
1
1 2, 1, 3
1
n n
n
xf x dx
n n
+ +∞
=
− −=
+∑∫
49. ( ) ( )0
1 2
1 1 13 3 91 1
1, 1.33. Matches (c).
n
ng
S S
∞
=
= = + + +
= =
∑
50. ( ) ( )0
1 2
2 2 43 3 92 1
1, 1.67. Matches (a).
n
ng
S S
∞
=
= = + + +
= =
∑
51. ( ) ( )0
3.133.1
n
ng
∞
=
= ∑ diverges. Matches (b).
52. ( ) ( )0
232
n
ng
∞
=
− = −∑ alternating. Matches (d).
53. ( ) ( ) ( )0 0
1 1 1 1 18 8 4 4 162 1 ,
n n
n ng
∞ ∞
= =
⎡ ⎤= = = + + + ⋅ ⋅ ⋅⎣ ⎦∑ ∑
converges
1 2 31, 1.25, 1.3125S S S= = = Matches (b).
54. ( ) ( ) ( )0 0
1 1 1 1 18 8 4 4 162 1 ,
n n
n ng
∞ ∞
= =
⎡ ⎤− = − = − = − + −⎣ ⎦∑ ∑
converges
1 2 31, 0.75, 0.8125S S S= = = Matches (c).
55. ( ) ( ) ( )0 0
9 9 916 16 82 ,
n n
n ng
∞ ∞
= =
⎡ ⎤= =⎣ ⎦∑ ∑ diverges
1 21781,S S= = Matches (d).
56. ( ) ( ) ( )0 0
3 3 38 8 42 ,
n n
n ng
∞ ∞
= =
⎡ ⎤= =⎣ ⎦∑ ∑ converges
1 21, 1.75S S= = Matches (a).
57. A series of the form
( ) ( ) ( )
( )
20 1 2
0
nn
n
nn
a x c a a x c a x c
a x c
∞
=
− = + − + − +
+ − +
∑
is called a power series centered at c, where c is constant.
346 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
58. The set of all values of x for which the power series converges is the interval of convergence. If the power series converges for all x, then the radius of convergence is .R = ∞ If the power series converges at only c, then
0.R = Otherwise, according to Theorem 8.20, there exists a real number 0R > (radius of convergence) such that the series converges absolutely for x c R− < and
diverges for .x c R− >
59. A single point, an interval, or the entire real line.
60. You differentiate and integrate the power series term by term. The radius of convergence remains the same. However, the interval of convergence might change.
61. Answers will vary.
1
n
n
xn
∞
=∑ converges for 1 1.x− ≤ < At 1,x = − the
convergence is conditional because 1n∑ diverges.
21
n
n
xn
∞
=∑ converges for 1 1.x− ≤ ≤ At 1,x = ± the
convergence is absolute.
62. Many answers possible.
(a) 1 2
n
n
x∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
∑ Geometric: 1 22x x< ⇒ <
(b) ( )1
1 n n
n
xn
∞
=
−∑ converges for 1 1x− < ≤
(c) ( )1
2 1 n
nx
∞
=
+∑ Geometric:
2 1 1 1 0x x+ < ⇒ − < <
(d) ( )1
24
n
nn
xn
∞
=
−∑ converges for 2 6x− ≤ <
63. (a) ( ) ( )2 1
0 2 1 !
n
n
xf xn
+∞
=
=+∑
( )
( )
( )( )
2 31
2 1
2
2 1 !lim lim
2 3 !
lim 02 2 2 3
nn
nn nn
n
nu xu n x
xn n
++
+→∞ →∞
→∞
+= ⋅
+
= =+ +
Therefore, the interval of convergence is ( ).−∞ ∞
( ) ( )( )
2
0
12 !
n n
n
xg x
n
∞
=
−= ∑
( )( )
( )( )
1 2 21
2
1 2 !lim lim
2 2 ! 1
1lim 02 2
n nn
n nn nn
n
x nuu n x
n
+ ++
→∞ →∞
→∞
−= ⋅
+ −
= =+
Therefore, the interval of convergence is ( ).−∞ ∞
(b) ( ) ( )( ) ( )
2
0
12 !
n n
n
xf x g x
n
∞
=
−′ = =∑
(c) ( ) ( )( )
( )( )
( )( ) ( )
12 1 2 1
1 0
2 1
0
1 12 1 ! 2 1 !
12 1 !
n nn n
n n
n n
n
x xg x
n n
xf x
n
+− +∞ ∞
= =
+∞
=
− −′ = =
− +
−= − = −
+
∑ ∑
∑
(d) ( ) sinf x x= and
( ) cosg x x=
64. (a) ( )0 !
n
n
xf xn
∞
=
= ∑
( )
11 !lim lim
1 !
lim 01
nn
nn nn
n
u x nu n x
xn
++
→∞ →∞
→∞
= ⋅+
= =+
The series converges for all x. Therefore, the interval of convergence is ( ), .−∞ ∞
(b) ( ) ( ) ( )1 1
1 1 0! 1 ! !
n n n
n n n
nx x xf x f xn n n
− −∞ ∞ ∞
= = =
′ = = = =−∑ ∑ ∑
(c) ( )
( )
2 3 4
11
! 2! 3! 4!
0 1
n
n
x x x xf x xn
f
∞
=
= = + + + + +
=
∑
(d) ( ) xf x e=
Section 9.8 Power Series 347
© 2010 Brooks/Cole, Cengage Learning
65. ( )( )
( )( )
( ) ( )( )
( )( )
( ) ( )( )
( )( )
( )( )
( )( )
12 1 2 1
0 1
2 2
0 0
2 1 2 1
1 1
12 1 2 1
1 1
1 12 1 ! 2 1 !
1 2 1 12 1 ! 2 !
1 2 12 ! 2 1 !
1 10
2 1 ! 2 1 !
n nn n
n n
n nn n
n n
n n n
n n
n nn n
n n
x xy
n n
n x xy
n n
n x xy
n n
x xy y
n n
−+ −∞ ∞
= =
∞ ∞
= =
− −∞ ∞
= =
−− −∞ ∞
= =
− −= =
+ −
− + −′ = =
+
− −′′ = =
−
− −′′ + = + =
− −
∑ ∑
∑ ∑
∑ ∑
∑ ∑
66. ( )( )
( )( )
( ) ( )( )
( )( )
( ) ( )( )
( )( )
( )( )
( )( )
12 2 2
0 1
2 1 2 1
1 1
2 2 2 2
1 1
12 2 2 2
1 1
1 12 ! 2 2 !
1 2 12 ! 2 1 !
1 2 1 12 1 ! 2 2 !
1 10
2 2 ! 2 2 !
n nn n
n n
n nn n
n n
n nn n
n n
n nn n
n n
x xy
n n
n x xy
n n
n x xy
n n
x xy y
n n
− −∞ ∞
= =
− −∞ ∞
= =
− −∞ ∞
= =
−− −∞ ∞
= =
− −= =
−
− −′ = =
−
− − −′′ = =
− −
− −′′ + = + =
− −
∑ ∑
∑ ∑
∑ ∑
∑ ∑
67. ( ) ( )( )( ) ( )( )( ) ( )
2 1 2 1
0 1
2 2
0 0
2 1 2 1
1 1
2 1 ! 2 1 !
2 12 1 ! 2 !
22 ! 2 1 !
0
n n
n n
n n
n n
n n
n n
x xyn n
n x xyn n
n x xy yn n
y y
+ −∞ ∞
= =
∞ ∞
= =
− −∞ ∞
= =
= =+ −
+′ = =
+
′′ = = =−
′′ − =
∑ ∑
∑ ∑
∑ ∑
68. ( ) ( )( )( ) ( )
( )( ) ( )
2 2 2
0 1
2 1 2 1
1 1
2 2 2 2
1 1
2 ! 2 2 !
2 22 2 ! 2 1 !
2 12 1 ! 2 2 !
0
n n
n n
n n
n n
n n
n n
x xyn n
n x xyn n
n x xy yn n
y y
−∞ ∞
= =
− −∞ ∞
= =
− −∞ ∞
= =
= =−
−′ = =
− −
−′′ = = =
− −
′′ − =
∑ ∑
∑ ∑
∑ ∑
69. ( ) 2 22 2 1
0 1 1
2 2 122 ! 2 ! 2 !
nn n
n n nn n n
n n xx nxy y yn n n
−−∞ ∞ ∞
= = =
−′ ′′= = =∑ ∑ ∑
( )
( ) ( )
( )( )( )
( ) ( )( )
( ) ( ) ( )( )
2 2 2 2
1 1 0
2 2 2
1 0
2 2
10
2
10
2 2 1 22 ! 2 ! 2 !
2 2 1 2 12 ! 2 !
2 2 2 1 2 1 2 12 1 ! 2 ! 2 1
2 1 2 1 2 10
2 1 !
n n n
n n nn n n
n n
n nn n
n n
n nn
n
nn
n n x nx xy xy yn n n
n n x n xn n
n n x n x nn n n
n x n nn
−∞ ∞ ∞
= = =
−∞ ∞
= =
∞
+=
∞
+=
−′′ ′− − = − −
− += −
⎡ ⎤+ + + += − ⋅⎢ ⎥
+ +⎢ ⎥⎣ ⎦
+ ⎡ + − + ⎤⎣ ⎦= =+
∑ ∑ ∑
∑ ∑
∑
∑
70. ( )( )
( )( )
( ) ( )
4
21
4 1
21
1
11
2 ! 3 7 11 4 1
1 42 ! 3 7 11 4 1
1 4 4 1
n n
nn
n n
nn
n
n
xy
n n
nxy
n n
n ny
∞
=
−∞
=
∞
=
−= +
⋅ ⋅ ⋅ −
−′ =
⋅ ⋅ ⋅ −
− −′′ =
∑
∑
∑ ( )
4 2
22 ! 3 7 11 4 1
n
n
x
n n
−
⋅ ⋅ ⋅ −( )
( )
( )( )
( )( )
( ) ( )( ) ( )
( )( )
( )( )
4 22
22
4 2 4 22 2 2
2 22 1
1 14 2 4 2 2
2 2 2 21 1
1 42 ! 3 7 11 4 5
1 4 12 ! 3 7 11 4 5 2 ! 3 7 11 4 1
1 4 1 1 2 12 1 ! 3 7 11 4 1 2 ! 3 7 11 4 1 2 1
n n
nn
n nn n
n nn n
n nn n
n nn n
nxx
n n
nx xy x y x x
n n n n
n x x nn n n n n
−∞
=
− +∞ ∞
= =
+ ++ +∞ ∞
+= =
−= − +
⋅ ⋅ ⋅ −
− −′′ + = − + + +
⋅ ⋅ ⋅ − ⋅ ⋅ ⋅ −
− + − += − =
+ ⋅ ⋅ ⋅ − ⋅ ⋅ ⋅ − +
∑
∑ ∑
∑ ∑ 0
348 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
71. ( ) ( )( )
2
0 220
1
2 !
k k
kk
xJ x
k
∞
=
−= ∑
(a) ( )( )
( )( )
( )( )
1 22 2 2 21
2 22 22 2
1 2 ! 1lim lim lim 0
1 2 12 1 !
k k kk
k kkk k kk
x k xuu x kk
+ ++
+→∞ →∞ →∞
− −= ⋅ = =
− +⎡ + ⎤⎣ ⎦
Therefore, the interval of convergence is .x−∞ < < ∞
(b) ( )( )
( )( )
( ) ( )( )
( ) ( )( )
( ) ( )( )( )
( ) ( )( ) ( )
2
0 20
2 12 11
0 2 211 0
2 2 21
0 2 211 0
2 21 12 2
0 0 0 10 0
14 !
2 221 14 ! 4 1 !
2 2 1 2 2 2 11 1
4 ! 4 1 !
2 2 1 21 14 1 ! !
kk
kk
kkk k
k kk k
k kk k
k kk k
kk k
kk k
xJk
k xkxJk k
k k x k k xJ
k k
k x xx J xJ x Jk k
∞
=
+−∞ ∞+
+= =
−∞ ∞+
+= =
+∞ ∞+ +
+= =
= −
+′ = − = −⎡ + ⎤⎣ ⎦
− + +′′ = − = −⎡ + ⎤⎣ ⎦
+′′ ′+ + = − + −+
∑
∑ ∑
∑ ∑
∑ ∑ ( ) ( )( )
( )( )
( ) ( )( ) ( ) ( )
( )( )
2 2 2 2
210
2 2
20
2 2
20
14 1 ! ! 4 !
1 2 2 1 21 1 14 1 4 14 !
1 4 2 2 4 4 04 4 4 4 4 44 !
k kk
k kk
k k
kk
k k
kk
xk k k
x kk kk
x k kk k kk
+ +∞
+=
+∞
=
+∞
=
+ −+
⎡ ⎤− += − + − +⎢ ⎥
+ +⎢ ⎥⎣ ⎦
− − − +⎡ ⎤= − + =⎢ ⎥+ + +⎣ ⎦
∑
∑
∑
(c) ( )2 4 6
6 14 64 2304x x xP x = − + −
(d) ( )( )
( )( ) ( )
( )( ) ( )
12 2 11 1
0 2 2 20 00 0 00
1 1 1 1 11 0.9212 3204 ! 4 ! 2 1 4 ! 2 1
k k kk k
k k kk k k
x xJ dx dx
k k k k k
+∞ ∞ ∞
= = =
⎡ ⎤− − −= = ⎢ ⎥ = = − + ≈
⎢ + ⎥ +⎣ ⎦∑ ∑ ∑∫ ∫
(integral is approximately 0.9197304101)
72. ( ) ( )( )
( )( )
2 2 1
1 2 1 2 10 0
1 12 ! 1 ! 2 ! 1 !
k kk k
k kk k
x xJ x x
k k k k
+∞ ∞
+ += =
− −= =
+ +∑ ∑
(a) ( )( ) ( )
( )( )
( )( )( )
1 2 3 2 1 21
2 3 22 1
1 2 ! 1 ! 1lim lim lim 0
2 1 ! 2 ! 2 2 11
k k kk
kk kk k kk
x k k xuu k k k kx
+ + ++
+ +→∞ →∞ →∞
− + −= ⋅ = =
+ + + +−
Therefore, the interval of convergence is .x−∞ < < ∞
−6 6
−5
3
Section 9.8 Power Series 349
© 2010 Brooks/Cole, Cengage Learning
(b) ( ) ( )( )
( ) ( ) ( )( )
( ) ( ) ( )( )( )
2 1
1 2 10
2
1 2 10
2 1
1 2 11
12 ! 1!
1 2 12 ! 1 !
1 2 1 22 ! 1 !
k k
kk
k k
kk
k k
kk
xJ x
k k
k xJ x
k k
k k xJ x
k k
+∞
+=
∞
+=
−∞
+=
−=
+
− +′ =+
− +′′ =+
∑
∑
∑
( ) ( ) ( )( )( )
( ) ( )( )
( )( )
( )( )
( ) ( )( )( )
( ) ( )( )
2 1 2 12 2
1 1 1 2 1 2 11 0
2 3 2 1
2 1 2 10 0
2 1 2 1
2 1 2 11 1 1
1 2 1 2 1 2 11
2 ! 1 ! 2 ! 1 !
1 12 ! 1 ! 2 ! 1 !
1 2 1 2 1 2 12 ! 1 ! 2 2 ! 1 ! 2
k kk k
k kk k
k kk k
k kk k
k kk k
k kk k k
k k x k xx J xJ x J
k k k k
x xk k k k
k k x k xx xk k k k
+ +∞ ∞
+ += =
+ +∞ ∞
+ += =
+ +∞ ∞ ∞
+ += = =
− + − +′′ ′+ + − = ++ +
− −+ −
+ +
− + − += + + − −
+ +
∑ ∑
∑ ∑
∑ ∑ ∑ ( )( )
( )( )
( ) ( )( ) ( )( )
( )( )
( ) ( )( )
( )( )
( )( )
2 1
2 1
2 3
2 10
2 1 2 3
2 1 2 11 0
2 1 2 3
2 1 2 11 0
2 1
2 11
12 ! 1 !
12 ! 1 !
1 2 1 2 2 1 1 12 ! 1 ! 2 ! 1 !
1 4 1 12 ! 1 ! 2 ! 1 !
12 1 ! !
k k
k
k k
kk
k kk k
k kk k
k kk k
k kk k
k k
kk
xk k
xk k
x k k k xk k k k
x k k xk k k k
xk k
+
+
+∞
+=
+ +∞ ∞
+ += =
+ +∞ ∞
+ += =
+∞
−=
⎡ ⎤−⎢ ⎥
+⎢ ⎥⎣ ⎦
−+
+
− ⎡ + + + − ⎤ −⎣ ⎦= ++ +
− + −= +
+ +
−= +
−
∑
∑ ∑
∑ ∑
∑ ( )( )
( )( )
( )( )
( ) ( )( )
2 3
2 10
1 2 3 2 3
2 1 2 10 0
2 3
2 10
12 ! 1 !
1 12 ! 1 ! 2 ! 1 !
1 1 10
2 ! 1 !
k k
kk
k kk k
k kk k
k k
kn
xk k
x xk k k k
xk k
+∞
+=
+ + +∞ ∞
+ += =
+∞
+=
−+
− −= +
+ +
− ⎡ − + ⎤⎣ ⎦= =+
∑
∑ ∑
∑
(c) ( ) 3 5 77
1 1 12 16 384 18,432xP x x x x= − + −
(d) ( ) ( ) ( )( ) ( )
( )( )
( ) ( )( )
( )( ) ( ) ( )
1 12 1 2 1
0 2 2 2 10 0
12 1 2 1
1 0 12 1 2 10 0
1 2 1 12 1 ! 1 ! 2 ! 1 !
1 12 ! 1 ! 2 ! 1 !
k kk k
k kk k
k kk k
k kk k
k x xJ x
k k k k
x xJ x J x J x
k k k k
+ ++ +∞ ∞
+ += =
++ +∞ ∞
+ += =
− + −′ = =+ + +
− − ′− = − = = −+ +
∑ ∑
∑ ∑ Note:
73. ( ) ( ) ( )2
01 cos
2 !
nn
n
xf x xn
∞
=
= − =∑
74. ( ) ( ) ( )2 1
01 sin
2 1 !
nn
n
xf x xn
∞ +
=
= − =+∑
−6 6
−4
4
−2
2
2�−2� −
−2
� �
2
350 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
75. ( ) ( ) ( )
( )
0 01 Geometric
1 1 for 1 11 1
n nn
n nf x x x
xx x
∞ ∞
= =
= − = −
= = − < <− − +
∑ ∑
76. ( ) ( )2 1
01 arctan , 1 1
2 1
nn
n
xf x x xn
+∞
=
= − = − ≤ ≤+∑
77. ( )0
, 4, 44
n
n
x∞
=
⎛ ⎞ −⎜ ⎟⎝ ⎠
∑
(a) ( )0 0
5 2 5 1 84 8 1 5 8 3
n n
n n
∞ ∞
= =
⎛ ⎞ ⎛ ⎞= = =⎜ ⎟ ⎜ ⎟ −⎝ ⎠⎝ ⎠∑ ∑
(b) ( )0 0
5 2 5 1 84 8 1 5 8 13
n n
n n
∞ ∞
= =
⎛ − ⎞ ⎛ ⎞= − = =⎜ ⎟ ⎜ ⎟ +⎝ ⎠⎝ ⎠∑ ∑
(c) The alternating series converges more rapidly. The partial sums of the series of positive terms approaches the sum from below. The partial sums of the alternating series alternate sides of the horizontal line representing the sum.
(d)
78. ( )0
3 n
nx
∞
=∑ converges on 1 1, .
3 3⎛ ⎞−⎜ ⎟⎝ ⎠
(a) ( )0 0
1 1 1 1: 3 26 6 2 1 1 2
n n
n nx
∞ ∞
= =
⎛ ⎞⎛ ⎞ ⎛ ⎞= = = =⎜ ⎟⎜ ⎟ ⎜ ⎟ −⎝ ⎠ ⎝ ⎠⎝ ⎠∑ ∑
(b) ( )0 0
1 1 1 1 2: 36 6 2 1 1 2 3
n n
n nx
∞ ∞
= =
⎛ ⎞⎛ ⎞ ⎛ ⎞= − − = − = =⎜ ⎟⎜ ⎟ ⎜ ⎟ +⎝ ⎠ ⎝ ⎠⎝ ⎠∑ ∑
(c) The alternating series converges more rapidly. The partial sums in (a) approach the sum 2 from below. The partial sums in (b) alternate sides of the
horizontal line 2.3
y =
(d) 0 0
23 23
nN Nn
n nM
= =
⎛ ⎞⋅ = >⎜ ⎟⎝ ⎠
∑ ∑
79. False;
( )1
12
n n
nn
xn
∞
=
−∑
converges for 2x = but diverges for 2.x = −
80. False; it is not possible. See Theorem 9.20.
81. True; the radius of convergence is 1R = for both series.
82. True
( )1 1
0 00
11
0 001 1
nn
n
nn n
n n
f x dx a x dx
a x an n
∞
=
∞ ∞+
= =
⎛ ⎞= ⎜ ⎟
⎝ ⎠
⎡ ⎤= =⎢ ⎥+ +⎣ ⎦
∑∫ ∫
∑ ∑
83. ( )( ) ( )
( )( )
( )( )( )
1 1 11 ! !lim lim lim 0
1 ! 1 ! ! ! 1 1n n n
n n nn
n p xn p n pa x xn n q n n qa n n q
+ +
→∞ →∞ →∞
+ ++ + += = =
+ + + + + + +
So, the series converges for all : .x R = ∞
M 10 100 1000 10,000
N 5 14 24 35
M 10 100 1000 10,000
N 3 6 9 13
1−10
3
−2.5 2.5
− �2
�2
0 60
4
0 60
1
3
60
−1
1.5
6
−0.5
−1
Section 9.8 Power Series 351
© 2010 Brooks/Cole, Cengage Learning
84. (a) ( )( ) ( )
2 3 4
2 3 4 2 2 1 2 4 2 2 4 22
1 2 2
1 2 2 2 1 2 1n n n nn
g x x x x x
S x x x x x x x x x x x x x+
= + + + + +
= + + + + + + + = + + + + + + + + +
2 22
0 0lim 2n n
nn n n
S x x x∞ ∞
→∞ = =
= +∑ ∑
Each series is geometric, 1,R = and the interval of convergence is ( )1, 1 .−
(b) For ( ) 2 2 21 1 1 21, 2 .
1 1 1xx g x x
x x x+
< = + =− − −
85. (a) ( )
( ) ( ) ( )
30
2 3 4 5 60 1 2 0 1 2 0
3 3 3 3 2 3 33 0 1 2
,
1 1 1
nn n n
n
n n nn
f x c x c c
c c x c x c x c x c x c x
S c x x c x x x c x x x
∞
+=
= =
= + + + + + + +
= + + + + + + + + + + +
∑
3 3 2 33 0 1 2
0 0 0lim n n n
nn n n n
S c x c x x c x x∞ ∞ ∞
→∞ = = =
= + +∑ ∑ ∑
Each series is geometric, 1,R = and the interval of convergence is ( )1, 1 .−
(b) For ( )2
0 1 220 1 23 3 3 3
1 1 11, .1 1 1 1
c c x c xx f x c c x c xx x x x
+ +< = + + =
− − − −
86. For the series ,nnc x∑
1
1 1 1
1lim lim lim 1
nn n n n
nn n nn n n n
a c x c cx x Ra c x c c
++ + +
→∞ →∞ →∞ +
= = < ⇒ < =
For the series 2 ,nnc x∑
2 2
1 1 1 2 22
1lim lim lim 1 .
nn n n n
nn n nn n n n
b c x c cx x R x Rb c x c c
++ + +
→∞ →∞ →∞ +
= = < ⇒ < = ⇒ <
87. At ( )0 00 0
, ,n nn n
n nx x R c x x c R
∞ ∞
= =
= + − =∑ ∑ diverges.
At ( ) ( )0 00 0
, ,n nn n
n nx x R c x x c R
∞ ∞
= =
= − − = −∑ ∑ converges.
Furthermore, at 0 ,x x R= −
( )00 0
, diverges.n nn n
n nc x x C R
∞ ∞
= =
− =∑ ∑
So, the series converges conditionally at 0 .x R−
352 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
Section 9.9 Representation of Functions by Power Series
1. (a) ( )
10 0
1 1 44 1 4
11 4 4 4
n n
nn n
x x
a x xr
∞ ∞
+= =
=− −
⎛ ⎞⎛ ⎞= = =⎜ ⎟⎜ ⎟− ⎝ ⎠⎝ ⎠∑ ∑
This series converges on ( )4, 4 .−
(b)
2
2
2
2 3
14 16 64
4 1
14
4
4 16
16
16 64
x x
xx
x
x x
x
x x
+ + +
−
−
−
−
2. (a) ( )
( )1
0 0
1 1 22 1 2 1
112 2 2
nn n
nn n
ax x r
xx∞ ∞
+= =
= =+ − − −
−⎛ ⎞= − =⎜ ⎟⎝ ⎠
∑ ∑
This series converges on ( )2, 2 .−
(b)
2 3
2
2
2 3
3
3 4
12 4 8 16
2 1
12
2
2 4
4
4 8
8
8 16
x x x
xx
x
x x
x
x x
x
x x
− + − +
+
+
−
− −
+
−
− −
3. (a) ( )
( )1
0 0
3 3 44 1 4 1
3 134 4 4
nn n
nn n
ax x r
xx∞ ∞
+= =
= =+ − − −
−⎛ ⎞= − =⎜ ⎟⎝ ⎠
∑ ∑
This series converges on ( )4, 4 .−
(b)
2
2
2
2 3
3 3 34 16 64
4 3334343 34 16
3163 316 64
x x
x
x
x
xx
x
x x
− + −
+
+
−
− −
+
4. (a) ( )
10 0
2 2 55 1 5 1
2 25 5 5
n n
nn n
ax x r
x x∞ ∞
+= =
= =− − −
⎛ ⎞= =⎜ ⎟⎝ ⎠
∑ ∑
This series converges on ( )5, 5 .−
(b)
2
2
2
2 2 2 5 25 125
5 2225252 25 25
225
x x
x
x
x
x x
x
+ + +
−
−
−
5. ( )
( )1
0 0
1 1 1 213 2 1 11
2
11 12 2 2
nn
nn n
axx x r
xx∞ ∞
+= =
= = =−− − − −⎛ ⎞− ⎜ ⎟
⎝ ⎠
−−⎛ ⎞= =⎜ ⎟⎝ ⎠
∑ ∑
Interval of convergence: ( )1 1 1, 32
x −< ⇒ −
Section 9.9 Representation of Functions by Power Series 353
© 2010 Brooks/Cole, Cengage Learning
6. ( )
( )3 1
0 0
4 4 1 235 8 3 11
8
31 32 8 2
nn
nn n
axx x r
xx∞ ∞
+= =
= = =+− − + −⎛ ⎞− ⎜ ⎟
⎝ ⎠
++⎛ ⎞= =⎜ ⎟⎝ ⎠
∑ ∑
Interval of convergence: ( )3 1 11, 58
x +< ⇒ −
7. ( )0
1 31 3 1
n
n
a xx r
∞
=
= =− − ∑
Interval of convergence: 1 13 1 , 3 3
x ⎛ ⎞< ⇒ ⎜ ⎟⎝ ⎠
8. ( )0
1 51 5 1
n
n
a xx r
∞
=
= =− − ∑
Interval of convergence: 1 15 1 , 5 5
x ⎛ ⎞< ⇒ ⎜ ⎟⎝ ⎠
9. ( ) ( )
( ) ( )
( )
0
10
5 5 5 922 3 9 2 3 11 39
5 2 23 , 3 19 9 9
25 39
n
n
nn
nn
ax x rx
x x
x
∞
=
∞
+=
−= = =
− − + + −− +
⎛ ⎞= − + + <⎜ ⎟⎝ ⎠
= − +
∑
∑
Interval of convergence: ( )2 15 33 1 , 9 2 2
x ⎛ ⎞+ < ⇒ −⎜ ⎟⎝ ⎠
10. ( ) ( )( )
( )
( ) ( )0
0
3 3 12 1 3 2 2 1 2 3 2 1
2 23
2 23
n
n
n n
nn
ax x x r
x
x
∞
=
∞
=
= = =− + − + − −
⎡ ⎤= − −⎢ ⎥⎣ ⎦
− −=
∑
∑
Interval of convergence: 3 1 72 , 2 2 2
x ⎛ ⎞− < ⇒ ⎜ ⎟⎝ ⎠
11.
( )0
1
10
2 2 3 2 32 22 3 11 13 3
2 23 3
1 23
n
n
n nn
nn
axx rx
x
x
∞
=
+∞
+=
= = =+ −⎛ ⎞+ − −⎜ ⎟
⎝ ⎠
⎛ ⎞= −⎜ ⎟⎝ ⎠
−=
∑
∑
Interval of convergence: 2 3 31 , 3 2 2
x− ⎛ ⎞< ⇒ −⎜ ⎟⎝ ⎠
12. ( ) ( )( )
( )
( ) ( )0
10
4 4 4 113 2 11 3 3 1 3 11 3 1
3 3411 11
3 34
11
n
n
n n
nn
ax x x r
x
x
∞
=
∞
+=
= = =+ + − − − − −
⎡− − ⎤= ⎢ ⎥
⎣ ⎦
− −=
∑
∑
Interval of convergence: ( )3 203 1 3, 11 3
x ⎛ ⎞− − < ⇒ ⎜ ⎟⎝ ⎠
13.
( )
( )
2
0 0 0
4 3 12 3 3 1
1 11 3 1
1 13 3
nn n
nn n n
xx x x x
x x
x x x∞ ∞ ∞
= = =
= ++ − + −
−= +
− − −
⎡ ⎤⎛ ⎞ ⎢ ⎥= − − = −⎜ ⎟⎝ ⎠ ⎢ ⎥−⎣ ⎦
∑ ∑ ∑
Interval of convergence: 13x
< and ( )1 1, 1x < ⇒ −
14.
( )
( )
2
0 0
1
0
3 8 2 33 5 2 2 3 1
1 31 2 1 3
3 32
1 32
nn
n n
nn n
n
xx x x x
x x
x x
x
∞ ∞
= =
∞+
=
−= −
+ − + −
= +− − −
⎛ ⎞= − +⎜ ⎟⎝ ⎠
⎡ ⎤⎛ ⎞= − +⎢ ⎥⎜ ⎟⎝ ⎠⎢ ⎥⎣ ⎦
∑ ∑
∑
Interval of convergence: 12x
< and
1 13 1 , 3 3
x ⎛ ⎞< ⇒ −⎜ ⎟⎝ ⎠
15.
( )( )2
2
0 0
2 1 11 1 1
1 1 2n n n
n n
x x x
x x∞ ∞
= =
= +− − +
= + − =∑ ∑
Interval of convergence: 2 1x < or ( )1, 1 because 2 2
1 22
2lim lim2
nn
nn nn
u x xu x
++
→∞ →∞= =
354 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
16. 2
22 2
0 0
5 1 15 1 5 5
15
n nn
n n
a x xx rx
∞ ∞
= =
⎛ ⎞ −⎛ ⎞= = = − =⎜ ⎟ ⎜ ⎟+ −⎛ ⎞− ⎝ ⎠⎝ ⎠− ⎜ ⎟⎝ ⎠
∑ ∑
Interval of convergence: ( )2
21 5 5 5, 55x x< ⇒ − < < ⇒ −
17. ( )
( ) ( ) ( )
( ) ( ) ( )
( ) ( )
0
2
0 0 0
20 0 0
2 3 4 5 6 2
0
1 11
1 1 11
2 1 1 1 1 11 1 1
2 0 2 0 2 0 2 2 , 1, 1 See Exercise 15.
n n
n
n n n n n
n n n
n nn n n
n n n
n
n
xx
x x xx
h x x x xx x x
x x x x x x x
∞
=
∞ ∞ ∞
= = =
∞ ∞ ∞
= = =
∞
=
= −+
= − − = − =−
− ⎡ ⎤= = + = − + = − +⎣ ⎦− + −
= + + + + + + + = −
∑
∑ ∑ ∑
∑ ∑ ∑
∑
18. ( ) ( ) ( ) ( ) ( )
( )
( ) ( )
20 0
2 3 4 5
0
2 1 2 1
0 0
1 1 1 11 See Exercise 17.1 2 1 2 1 2 2
1 11 1 0 2 0 2 0 22 2
1 2 , 1, 12
n n n
n n
n n
n
n n
n n
xh x x xx x x
x x x x x x
x x
∞ ∞
= =
∞
=
∞ ∞+ +
= =
= = − = − −− + −
⎡ ⎤ ⎡ ⎤= − − = − + − + − +⎣ ⎦⎣ ⎦
= − = − −
∑ ∑
∑
∑ ∑
19. By taking the first derivative, you have ( )2
1 1 .1 1
ddx x x
−⎡ ⎤ =⎢ ⎥+⎣ ⎦ +Therefore,
( )
( ) ( ) ( ) ( ) ( )112
0 1 0
1 1 1 1 1 , 1, 1 .1
n n nn n n
n n n
d x nx n xdxx
∞ ∞ ∞+−
= = =
⎡ ⎤−= − = − = − + −⎢ ⎥
+ ⎣ ⎦∑ ∑ ∑
20. By taking the second derivative, you have ( )
2
321 2 .
1 1ddx x x
⎡ ⎤ =⎢ ⎥+⎣ ⎦ +Therefore,
( )
( ) ( ) ( ) ( ) ( ) ( )( ) ( )2
1 23 2
0 1 2 0
2 1 1 1 1 1 2 1 , 1, 1 .1
n n n nn n n n
n n n n
d dx nx n n x n n xdx dxx
∞ ∞ ∞ ∞− −
= = = =
⎡ ⎤ ⎡ ⎤= − = − = − − = − + + −⎢ ⎥ ⎢ ⎥
+ ⎣ ⎦ ⎣ ⎦∑ ∑ ∑ ∑
21. By integrating, you have ( )1 ln 1 .1
dx xx
= ++∫ Therefore,
( ) ( ) ( ) 1
0 0
1ln 1 1 , 1 1.
1
n nn n
n n
xx x dx C x
n
+∞ ∞
= =
−⎡ ⎤+ = − = + − < ≤⎢ ⎥ +⎣ ⎦
∑ ∑∫
To solve for C, let 0x = and conclude that 0.C = Therefore,
( ) ( ) ( ]1
0
1ln 1 , 1, 1 .
1
n n
n
xx
n
+∞
=
−+ = −
+∑
Section 9.9 Representation of Functions by Power Series 355
© 2010 Brooks/Cole, Cengage Learning
22. By integrating, you have
( ) 11 ln 1
1dx x C
x= + +
+∫ and ( ) 21 ln 1 .
1dx x C
x= − − +
−∫
( ) ( ) ( ) ( )2ln 1 ln 1 ln 1 .f x x x x= − = + − ⎡− − ⎤⎣ ⎦ Therefore,
( )
( ) ( )
( ) ( )
2
1 1
1 20 0 0 0
1 2 22 2
0 0 0
1 1ln 11 1
11
1 1
1 1 121 2 2 1
n n nn n n
n n n n
n n nn
n n n
x dx dxx x
x xx dx x dx C Cn n
x xxC C Cn n n
+ +∞ ∞ ∞ ∞
= = = =
+ ++∞ ∞ ∞
= = =
− = −+ −
⎡ ⎤− ⎡ ⎤⎡ ⎤ ⎡ ⎤⎢ ⎥= − − = + − +⎢ ⎥⎢ ⎥ ⎢ ⎥ + +⎢ ⎥⎣ ⎦ ⎣ ⎦ ⎣ ⎦⎣ ⎦
⎡ ⎤− − −−⎣ ⎦= + = + = ++ + +
∫ ∫
∑ ∑ ∑ ∑∫ ∫
∑ ∑ ∑
To solve for C, let 0x = and conclude that 0.C = Therefore,
( ) ( )2 2
2
0ln 1 , 1, 1 .
1
n
n
xxn
+∞
=
− = − −+∑
23. ( ) ( ) ( ) ( )2 22
0 0
1 1 1 , 1, 11
nn n n
n nx x
x
∞ ∞
= =
= − = − −+ ∑ ∑
24. ( ) ( )
( )
22
0
2 1
0
2 2 1 See Exercise 23.1
1 2
n n
n
n n
n
x x xx
x
∞
=
∞+
=
= −+
= −
∑
∑
Because ( )( )222ln 1 ,
1d xxdx x
+ =+
you have
( ) ( ) ( ) 2 22 2 1
0 0
1ln 1 1 2 , 1 1.
1
n nn n
n n
xx x dx C x
n
+∞ ∞+
= =
−⎡ ⎤+ = − = + − ≤ ≤⎢ ⎥ +⎣ ⎦
∑ ∑∫
To solve for C, let 0x = and conclude that 0.C = Therefore,
( ) ( ) [ ]2 2
2
0
1ln 1 , 1, 1 .
1
n n
n
xx
n
+∞
=
−+ = −
+∑
25. Because, ( )0
1 1 ,1
n n
nx
x
∞
=
= −+ ∑ you have ( ) ( ) ( ) ( ) ( )22 2
20 0 0
1 1 11 4 1 4 1 2 , , .4 1 2 2
nn n n nn n
n n nx x x
x
∞ ∞ ∞
= = =
⎛ ⎞= − = − = − −⎜ ⎟+ ⎝ ⎠∑ ∑ ∑
26. Because ( )21 1 arctan 2 ,
4 1 2dx x
x=
+∫ you can use the result of Exercise 25 to obtain
( ) ( ) ( ) 2 12
20 0
1 41 1 1arctan 2 2 2 1 4 2 , .4 1 2 1 2 2
n n nn n n
n n
xx dx x dx C x
x n
+∞ ∞
= =
−⎡ ⎤= = − = + − < <⎢ ⎥+ +⎣ ⎦
∑ ∑∫ ∫
To solve for C, let 0x = and conclude that 0.C = Therefore,
( ) ( ) 2 1
0
1 4 1 1arctan 2 2 , , .2 1 2 2
n n n
n
xx
n
+∞
=
− ⎛ ⎤= −⎜ ⎥+ ⎝ ⎦∑
356 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
27. ( )2 2 3
ln 12 2 3x x xx x x− ≤ + ≤ − +
28. ( )2 3 4 2 3 4 5
ln 12 3 4 2 3 4 5x x x x x x xx x x− + − ≤ + ≤ − + − +
29. ( ) ( ) ( ) ( ) ( )1 2 3
1
1 1 1 1 11 2 3
n n
n
x x x xn
+∞
=
− − − − −= − + −∑
(a)
(b) From Example 4,
( ) ( ) ( ) ( )1 1
1 0
1 1 1 1ln , 0 2, 1.
1
n n n n
n n
x xx x R
n n
+ +∞ ∞
= =
− − − −= = < ≤ =
+∑ ∑
(c) 0.5:x =
( ) ( ) ( )1
1 1
1 1 2 1 20.693147
n n n
n nn n
+∞ ∞
= =
− − −= ≈ −∑ ∑
(d) This is an approximation of 1ln .2
⎛ ⎞⎜ ⎟⎝ ⎠
The error is approximately 0. [The error is less than the first omitted term,
( )51 181 51 2 8.7 10 .−⋅ ≈ × ]
x 0.0 0.2 0.4 0.6 0.8 1.0 2
2 2xS x= − 0.000 0.180 0.320 0.420 0.480 0.500
( )ln 1x + 0.000 0.182 0.336 0.470 0.588 0.693 2 3
3 2 3x xS x= − + 0.000 0.183 0.341 0.492 0.651 0.833
x 0.0 0.2 0.4 0.6 0.8 1.0 2 3 4
4 2 3 4x x xS x= − + − 0.0 0.18227 0.33493 0.45960 0.54827 0.58333
( )ln 1x + 0.0 0.18232 0.33647 0.47000 0.58779 0.69315 2 3 4 5
5 2 3 4 5x x x xS x= − + − + 0.0 0.18233 0.33698 0.47515 0.61380 0.78333
−4 8
−3
S3f
S2
5
−4 8
−3
f
S5
S4
5
−3
0 4
n = 1n = 3
n = 6n = 2
3
Section 9.9 Representation of Functions by Power Series 357
© 2010 Brooks/Cole, Cengage Learning
30. ( )( )
2 1 3 5
0
12 1 ! 3! 5!
n n
n
x x xxn
+∞
=
−= − + −
+∑
(a)
(b) ( )( )
2 1
0
1sin ,
2 1 !
n n
n
xx R
n
+∞
=
−= = ∞
+∑
(c) ( ) ( )( )
2 1
0
1 1 20.4794255386
2 1 !
n n
n n
+∞
=
−≈
+∑
(d) This is an approximation of 1sin .2
⎛ ⎞⎜ ⎟⎝ ⎠
The error is
approximately 0.
31. ( ) lineg x x=
Matches (c)
32. ( )3,
3xg x x= − cubic with 3 zeros.
Matches (d)
33. ( )3 5
3 5x xg x x= − +
Matches (a)
34. ( )3 5 7
,3 5 7x x xg x x= − + −
Matches (b)
In Exercises 35–38, arctan ( )2 +1
=0= 1 .
2 + 1
nn
n
xxn
∞
−∑
35. ( ) ( ) ( )( )
2 1
2 10 0
1 4 11 1 1 1arctan 14 2 1 2 1 4 4 192 5120
n nn
nn nn n
+∞ ∞
+= =
−= − = = − + +
+ +∑ ∑
Because 1 0.001,5120
< you can approximate the series by its first two terms: 1 1 1arctan 0.245.4 4 192≈ − ≈
36. ( )
( ) ( )( )
( ) ( )( )( ) ( ) ( )( )
4 22
0
4 32
0
4 3 4 33 4 24 30
0 0
arctan 12 1
arctan 1 , 04 3 2 1
3 4 3arctan 1 14 3 2 1 4 3 2 1 4
27 2187 177,147192 344,064 230,686,720
nn
n
nn
n
n nn n
nn n
xxn
xx dx C Cn n
x dxn n n n
+∞
=
+∞
=
+ +∞ ∞
+= =
= −+
= − + =+ +
= − = −+ + + +
= − +
∑
∑∫
∑ ∑∫
Because 177,147 230,686,720 0.001,< you can approximate the series by its first two terms: 0.134.
37. ( ) ( ) ( )
( ) ( )( ) ( )
( ) ( )( )
2 122 4 12
0 0
2 4 2
0
21 2
4 200
arctan 1 1 12 1 2 1
arctan 1 Note: 04 2 2 1
arctan 1 1 114 2 2 1 2 8 1152
nn
n
n n
nn
n
nn
n
xx xx x n n
x xdx C Cx n n
x dxx n n
++∞ ∞
= =
+∞
=
∞
+=
= − = −+ +
= − + =+ +
= − = − ++ +
∑ ∑
∑∫
∑∫
Because 1 0.001,1152
< you can approximate the series by its first term: 21 2
0
arctan 0.125.x dxx
≈∫
4
6
−4
−6
358 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
38. ( )
( ) ( )( )
( ) ( )( )
2 32
0
2 42
0
1 2 22 40
0
arctan 12 1
arctan 12 4 2 1
1 1 1arctan 12 4 2 1 2 64 1152
nn
n
nn
n
nn
n
xx xn
xx x dxn n
x x dxn n
+∞
=
+∞
=
∞
+=
= −+
= −+ +
= − = − ++ +
∑
∑∫
∑∫
Because 1 0.001,1152
< you can approximate the series by its first term: 1 2 20
arctan 0.016.x x dx ≈∫
In Exercises 39–42, use =0
1 = , < 1.1
n
nx x
x
∞
− ∑
39. ( )
12
0 1
1 1 , 111
n n
n n
d d x nx xdx x dxx
∞ ∞−
= =
⎡ ⎤⎡ ⎤= = = <⎢ ⎥⎢ ⎥−⎣ ⎦− ⎣ ⎦∑ ∑
40. ( )
12
1 1, 1
1n n
n n
x x nx nx xx
∞ ∞−
= =
= = <−
∑ ∑
41. ( ) ( ) ( )
( )
( )
2 2 2
1
1
0
1 11 1 1
, 1
2 1 , 1
n n
n
n
n
x xx x x
n x x x
n x x
∞−
=
∞
=
+= +
− − −
= + <
= + <
∑
∑
42. ( )( )
( ) ( ) 12
0 0
12 1 2 1 , 1
1n n
n n
x xx n x n x x
x
∞ ∞+
= =
+= + = + <
−∑ ∑
(See Exercise 41.)
43. ( )
( ) ( )
( )
1
1 1 1
2
12
1 1 12 2 2
1 1 22 1 1 2
n
n n
n n n
P n
E n nP n n n−∞ ∞ ∞
= = =
⎛ ⎞= ⎜ ⎟⎝ ⎠
⎛ ⎞ ⎛ ⎞= = =⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠
= =⎡ − ⎤⎣ ⎦
∑ ∑ ∑
Because the probability of obtaining a head on a single
toss is 1,2
it is expected that, on average, a head will be
obtained in two tosses.
44. (a) ( )( )
1
21 1
23
1 2 2 2 1 23 9 3 9 1 2 3
nn
n nn n
−∞ ∞
= =
⎛ ⎞= = =⎜ ⎟⎝ ⎠ ⎡ − ⎤⎣ ⎦
∑ ∑
(b)
( )
1
1 1
2
1 9 9 910 10 100 10
9 1 9100 1 9 10
n n
n nn n
−∞ ∞
= =
⎛ ⎞ ⎛ ⎞=⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠
= ⋅ =⎡ − ⎤⎣ ⎦
∑ ∑
45. Because( )
1 1 ,1 1x x
=+ − −
substitute ( )x− into the
geometric series.
46. Because( )2 2
1 1 ,1 1x x
=− −
substitute ( )2x into the
geometric series.
47. Because( )
1 15 ,1 1x x
⎛ ⎞= ⎜ ⎟⎜ ⎟+ − −⎝ ⎠
substitute ( )x− into the
geometric series and then multiply the series by 5.
48. Because ( ) 1ln 1 ,1
x dxx
− = −−∫ integrate the series
and then multiply by ( )1 .−
49. Let arctan arctan .x y θ+ = Then,
( )( ) ( )
( ) ( )
tan arctan arctan tan
tan arctan tan arctantan
1 tan arctan tan arctan
tan1
arctan .1
x y
x yx y
x yxy
x yxy
θ
θ
θ
θ
+ =
+=
−
+=
−
⎛ ⎞+=⎜ ⎟−⎝ ⎠
Therefore,
arctan arctan arctan for 1.1x yx y xy
xy⎛ ⎞+
+ = ≠⎜ ⎟−⎝ ⎠
50. (a) From Exercise 49, you have
( ) ( )( )( )
120 119 1 239120 1 120 1arctan arctan arctan arctan arctan119 239 119 239 1 120 119 1 239
28,561arctan arctan 128,561 4
π
⎡ ⎤+ −⎛ ⎞− = + − = ⎢ ⎥⎜ ⎟ − −⎝ ⎠ ⎢ ⎥⎣ ⎦⎛ ⎞
= = =⎜ ⎟⎝ ⎠
Section 9.9 Representation of Functions by Power Series 359
© 2010 Brooks/Cole, Cengage Learning
(b) ( )( )
( )( )
2
2
2 1 51 1 1 10 52 arctan arctan arctan arctan arctan arctan5 5 5 24 121 1 5
2 5 121 1 1 5 5 1204 arctan 2 arctan 2 arctan arctan arctan arctan arctan5 5 5 12 12 1191 5 12
1 1 120 14 arctan arctan arctan arctan5 239 119 2
⎡ ⎤⎢ ⎥= + = = =⎢ ⎥−⎣ ⎦
⎡ ⎤⎢ ⎥= + = + = =⎢ ⎥−⎣ ⎦
− = − ( )( )see part a .39 4
π=
51. (a) ( )
( ) ( )( )( )
2
1 11 1 1 42 22 arctan arctan arctan arctan arctan2 2 2 31 1 2
4 3 1 71 1 4 1 252 arctan arctan arctan arctan arctan arctan arctan 12 7 3 7 1 4 3 1 7 25 4
π
⎡ ⎤+⎢ ⎥= + = =⎢ ⎥
−⎢ ⎥⎣ ⎦
⎡ ⎤−⎛ ⎞− = + − = = = =⎢ ⎥⎜ ⎟ +⎝ ⎠ ⎢ ⎥⎣ ⎦
(b) ( ) ( ) ( ) ( ) ( ) ( )3 5 7 3 5 70.5 0.5 0.5 1 7 1 7 1 71 1 1 18 arctan 4 arctan 8 4 3.142 7 2 3 5 7 7 3 5 7
π⎡ ⎤ ⎡ ⎤⎢ ⎥ ⎢ ⎥= − ≈ − + − − − + − ≈⎢ ⎥ ⎢ ⎥⎣ ⎦ ⎣ ⎦
52. (a) ( ) ( )( )( )
1 2 1 31 1 5 6arctan arctan arctan arctan2 3 1 1 2 1 3 5 6 4
π⎡ ⎤+ ⎛ ⎞+ = = =⎢ ⎥ ⎜ ⎟−⎢ ⎥ ⎝ ⎠⎣ ⎦
(b)
( ) ( ) ( ) ( ) ( ) ( ) ( ) ( )3 5 7 3 5 7
1 14 arctan arctan2 3
1 2 1 2 1 2 1 3 1 3 1 31 14 4 4 0.4635 4 0.3217 3.142 3 5 7 3 3 5 7
π ⎡ ⎤= +⎢ ⎥⎣ ⎦
⎡ ⎤ ⎡ ⎤⎢ ⎥ ⎢ ⎥= − + − + − + − ≈ + ≈⎢ ⎥ ⎢ ⎥⎣ ⎦ ⎣ ⎦
53. From Exercise 21, you have
( ) ( ) ( )
( )
11
0 1
1
1
1 1ln 1
1
1.
n nn n
n n
n n
n
x xx
n n
xn
−+∞ ∞
= =
+∞
=
− −+ = =
+
−=
∑ ∑
∑
So, ( ) ( ) ( )11
1 1
1 1 2112
1 3ln 1 ln 0.4055.2 2
n nn
nn nn n
+∞ ∞+
= =
−− =
⎛ ⎞= + = ≈⎜ ⎟⎝ ⎠
∑ ∑
54. From Exercise 53, you have
( ) ( ) ( )11
1 1
1 1 3113
1 4ln 1 ln 0.2877.3 3
n nn
nn nn n
+∞ ∞+
= =
−− =
⎛ ⎞= + = ≈⎜ ⎟⎝ ⎠
∑ ∑
55. From Exercise 53, you have
( ) ( ) ( )11
1 1
1 2 5215
2 7ln 1 ln 0.3365.5 5
n nnn
nn nn n
+∞ ∞+
= =
−− =
⎛ ⎞= + = ≈⎜ ⎟⎝ ⎠
∑ ∑
56. From Example 5, you have ( )2 1
0arctan 1 .
2 1
nn
n
xxn
+∞
=
= −+∑
( ) ( ) ( )2 1
0 0
111 12 1 2 1
arctan 1 0.78544
nn n
n nn nπ
+∞ ∞
= =
− = −+ +
= = ≈
∑ ∑
57. From Exercise 56, you have
( ) ( ) ( ) ( )2 1
2 10 0
1 211 12 2 1 2 1
1arctan 0.4636.2
nn n
nn nn n
+∞ ∞
+= =
− = −+ +
= ≈
∑ ∑
58. From Exercise 56, you have
( ) ( ) ( ) ( )
( ) ( )
12 1 2 1
1 0
2 1
0
1 11 13 2 1 3 2 1
1 31
2 11arctan 0.3218.3
n nn n
n n
nn
n
n n
n
∞ ∞+
− += =
+∞
=
− = −− +
= −+
= ≈
∑ ∑
∑
59. ( ) arctanf x x= is an odd function (symmetric to the
origin).
360 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
60. The approximations of degree ( )3, 7, 11, , 4 1, 1, 2,n n− =… … have relative extrema.
61. The series in Exercise 56 converges to its sum at a slower rate because its terms approach 0 at a much slower rate.
62. Because 1
0 1,n n
n nn n
d a x na xdx
∞ ∞−
= =
⎡ ⎤=⎢ ⎥
⎣ ⎦∑ ∑ the radius of
convergence is the same, 3.
63. Because the first series is the derivative of the second series, the second series converges for 1 4x + < (and
perhaps at the endpoints, 3x = and 5.x = − )
64. You can verify that the statement is incorrect by calculating the constant terms of each side:
( )
0 0
0
1 15 5
1 1 11 1 15 5 5
nn
n n
n
n
x xx x
x x
∞ ∞
= =
∞
=
⎛ ⎞ ⎛ ⎞+ = + + + +⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠
⎛ ⎞ ⎛ ⎞ ⎛ ⎞+ = + + + +⎜ ⎟ ⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠ ⎝ ⎠
∑ ∑
∑
The formula should be
0 0 0
11 .5 5
n nn n
n n n
xx x∞ ∞ ∞
= = =
⎡ ⎤⎛ ⎞ ⎛ ⎞+ = +⎢ ⎥⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠⎢ ⎥⎣ ⎦
∑ ∑ ∑
65. ( )( )0
13 2 1
n
nn n
∞
=
−+∑
From Example 5 you have ( )2 1
0arctan 1 .
2 1
nn
n
xxn
+∞
=
= −+∑
( )( )
( )( ) ( )
( ) ( )
20 0
2 1
0
1 1 33 2 1 33 2 1
1 1 33
2 1
13 arctan3
3 0.90689976
n n
nnn n
nn
n
n n
n
π
∞ ∞
= =
+∞
=
− −=
+ +
−=
+
⎛ ⎞= ⎜ ⎟⎝ ⎠
⎛ ⎞= ≈⎜ ⎟⎝ ⎠
∑ ∑
∑
66. ( )( ) ( ) ( )
( )
2 12 1
2 10 0
1 31
3 2 1 ! 2 1 !
3sin 0.8660253 2
n nnn
nn nn n
π π
π
++∞ ∞
+= =
−= −
+ +
⎛ ⎞= = ≈⎜ ⎟⎝ ⎠
∑ ∑
67. Using a graphing utility, you obtain the following partial sums for the left hand side. Note that 1 0.3183098862.π ≈
0
1
0: 0.31830987841: 0.3183098862
n Sn S= ≈
= ≈
Section 9.10 Taylor and Maclaurin Series
1. For 0,c = you have:
( )( ) ( ) ( ) ( )
( )
2
2
2 3 42
0
2 0 2
24 8 161 2 .2! 3! 4! !
x
n nn x n
nx
n
f x e
f x e f
xx x xe xn
∞
=
=
= ⇒ =
= + + + + + = ∑
2. For 0,c = you have:
( )( ) ( ) ( ) ( )
( )
3
3
2 33
0
3 0 3
39 271 3 .2! 3! !
x
n nn x n
nx
n
f x e
f x e f
xx xe xn
∞
=
=
= ⇒ =
= + + + + = ∑
Section 9.10 Taylor and Maclaurin Series 361
© 2010 Brooks/Cole, Cengage Learning
3. For 4,c π= you have:
( ) ( )
( ) ( )
( ) ( )
( ) ( )
( ) ( ) ( ) ( )4 4
2cos4 2
2sin4 2
2cos4 2
2sin4 2
2cos4 2
f x x f
f x x f
f x x f
f x x f
f x x f
π
π
π
π
π
⎛ ⎞= =⎜ ⎟⎝ ⎠
⎛ ⎞′ ′= − = −⎜ ⎟⎝ ⎠
⎛ ⎞′′ ′′= − = −⎜ ⎟⎝ ⎠
⎛ ⎞′′′ ′′′= =⎜ ⎟⎝ ⎠
⎛ ⎞= =⎜ ⎟⎝ ⎠
and so on. Therefore, you have:
( ) ( ) ( )
( ) ( ) ( )
( ) ( ) ( )
0
2 3 4
1 2
0
4 4cos
!
4 4 42 12 4 2! 3! 4!
1 42 .2 !
nn
n
nn n
n
f xx
n
x x xx
xn
π π
π π ππ
π
∞
=
+∞
=
⎡ − ⎤⎣ ⎦=
⎡ ⎤⎡ − ⎤ ⎡ − ⎤ ⎡ − ⎤⎛ ⎞ ⎣ ⎦ ⎣ ⎦ ⎣ ⎦⎢ ⎥= − − − + + −⎜ ⎟⎢ ⎥⎝ ⎠⎣ ⎦
− ⎡ − ⎤⎣ ⎦=
∑
∑
[Note: ( ) ( )1 21 1, 1, 1, 1, 1, 1, 1, 1,n n+− = − − − − … ]
4. For 4,c π= you have:
( )
( )
( )
( )
( ) ( ) ( )4 4
2sin4 2
2cos4 2
2sin4 2
2cos4 2
2sin4 2
f x x f
f x x f
f x x f
f x x f
f x x f
π
π
π
π
π
⎛ ⎞= =⎜ ⎟⎝ ⎠
⎛ ⎞′ ′= =⎜ ⎟⎝ ⎠
⎛ ⎞′′ ′′= − = −⎜ ⎟⎝ ⎠
⎛ ⎞′′′ ′′′= − = −⎜ ⎟⎝ ⎠
⎛ ⎞= =⎜ ⎟⎝ ⎠
and so on. Therefore you have:
( ) ( ) ( )
( ) ( ) ( )
( ) ( ) ( )( )
0
2 3 4
11 2
0
4 4sin
!
4 4 42 12 4 2! 3! 4!
1 42 1 .2 1 !
nn
n
nn n
n
f xx
n
x x xx
xn
π π
π π ππ
π
∞
=
+−∞
=
⎡ − ⎤⎣ ⎦=
⎡ ⎤⎡ − ⎤ ⎡ − ⎤ ⎡ − ⎤⎛ ⎞ ⎣ ⎦ ⎣ ⎦ ⎣ ⎦⎢ ⎥= + − − − + +⎜ ⎟⎢ ⎥⎝ ⎠⎣ ⎦
⎧ ⎫− ⎡ − ⎤⎪ ⎪⎣ ⎦= +⎨ ⎬+⎪ ⎪⎩ ⎭
∑
∑
362 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
5. For 1,c = you have
( ) ( )
( ) ( )( ) ( )( ) ( )
1
2
3
4
1 1 1
1 1
2 1 2
6 1 6
f x x fx
f x x f
f x x f
f x x f
−
−
−
−
= = =
′ ′= − = −
′′ ′′= =
′′′ ′′′= − = −
and so on. Therefore, you have
( ) ( )( )
( ) ( ) ( )
( ) ( ) ( )
( ) ( )
0
2 3
2 3
0
1 11!
2 1 6 11 1
2! 3!
1 1 1 1
1 1
nn
n
n n
n
f xx n
x xx
x x x
x
∞
=
∞
=
−=
− −= − − + − +
= − − + − − − +
= − −
∑
∑
6. For 2,c = you have
( ) ( ) ( )
( ) ( ) ( )
( ) ( ) ( )
( ) ( ) ( )
1
2
3
4
1 1 2 11
1 2 1
2 1 2 2
6 1 2 6
f x x fx
f x x f
f x x f
f x x f
−
−
−
−
= = − = −−
′ ′= − =
′′ ′′= − = −
′′′ ′′′= − =
and so on. Therefore you have
( ) ( )( )
( ) ( ) ( )( ) ( )
02 3
1
0
2 211 !
1 2 2 2
1 2
nn
n
n n
n
f xx n
x x x
x
∞
=
∞+
=
−=
−= − + − − − + − −
= − −
∑
∑
7. For 1,c = you have,
( ) ( )
( ) ( )
( ) ( )
( ) ( )
( ) ( ) ( ) ( )
( ) ( ) ( ) ( )
2
3
4 44
5 55
ln 1 0
1 1 1
1 1 1
2 1 2
6 1 6
24 1 24
f x x f
f x fx
f x fx
f x fx
f x fx
f x fx
= =
′ ′= =
′′ ′′= − = −
′′′ ′′′= =
= − = −
= =
and so on. Therefore, you have:
( ) ( )( )
( ) ( ) ( ) ( ) ( )
( ) ( ) ( ) ( ) ( )
( ) ( )
0
2 3 4 5
2 3 4 5
1
0
1 1ln
!
1 2 1 6 1 24 10 1
2! 3! 4! 5!
1 1 1 11
2 3 4 5
11 .
1
nn
n
nn
n
f xx
n
x x x xx
x x x xx
xn
∞
=
+∞
=
−=
− − − −= + − − + − + −
− − − −= − − + − + −
−= −
+
∑
∑
8. For 1,c = you have:
( )( ) ( ) ( ) ( )
( ) ( )( ) ( ) ( ) ( ) ( ) ( )2 3 4
0 0
1
1 1 1 1 1 11 1 .
! 2! 3! 4! !
x
n nx
n nnx
n n
f x e
f x e f e
f x x x x xe e x e
n n
∞ ∞
= =
=
= ⇒ =
⎡ ⎤− − − − −⎢ ⎥= = + − + + + + =⎢ ⎥⎣ ⎦
∑ ∑
Section 9.10 Taylor and Maclaurin Series 363
© 2010 Brooks/Cole, Cengage Learning
9. For 0,c = you have
( ) ( )( ) ( )( ) ( )( ) ( )
( ) ( ) ( ) ( )4 4
sin 3 0 0
3 cos 3 0 3
9 sin 3 0 0
27 cos 3 0 27
81 sin 3 0 0
f x x f
f x x f
f x x f
f x x f
f x x f
= =
′ ′= =
′′ ′′= − =
′′′ ′′′= − = −
= =
and so on. Therefore you have
( ) ( ) ( ) ( )
( )
2 13
0 0
0 1 327sin 3 0 3 0 0! 3! 2 1 !
n nn n
n n
f x xxx xn n
+∞ ∞
= =
−= = + + − + + =
+∑ ∑
10. For 0,c = you have.
( ) ( ) ( )
( ) ( )
( )( )
( )
( ) ( )( )
( )
( ) ( ) ( )( )
( ) ( )
( ) ( ) ( )( )
( ) ( )
( ) ( ) ( )( )
( ) ( )
2
2
2
22
2
32
4 24 4
42
4 25 5
52
6 4 26 6
62
ln 1 0 0
2 0 01
2 2 0 21
4 30 0
1
12 6 10 12
1
48 10 50 0
1
240 5 15 15 10 240
1
f x x f
xf x fx
xf x fx
x xf x f
x
x xf x f
x
x x xf x f
x
x x xf x f
x
= + =
′ ′= =+−′′ ′′= =+
−′′′ ′′′= =
+
− + −= = −
+
− += =
+
− − + −= =
+
and so on. Therefore, you have:
( )
( ) ( )
( )
2 3 4 5 62
0
2 24 62
0
0 2 0 12 0 240ln 1 0 0! 2! 3! 4! 5! 6!
1.
2 3 1
n n
n
n n
n
f x x x x x xx xn
xx xxn
∞
=
+∞
=
+ = = + + + − + + +
−= − + − =
+
∑
∑
11. For 0,c = you have:
( ) ( ) ( )( ) ( ) ( ) ( )( ) ( ) ( ) ( ) ( )( ) ( ) ( ) ( ) ( ) ( )
( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( )
( )( ) ( )
3 2
3 3
4 45 3 2 4
2 4
0
sec 0 1
sec tan 0 0
sec sec tan 0 1
5 sec tan sec tan 0 0
5 sec 18 sec tan sec tan 0 5
0 5sec 1 .! 2! 4!
n n
n
f x x f
f x x x f
f x x x x f
f x x x x x f
f x x x x x x f
f x x xxn
∞
=
= =
′ ′= =
′′ ′′= + =
′′′ ′′′= + =
= + + =
= = + + +∑
364 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
12. For 0,c = you have;
( ) ( ) ( )( ) ( ) ( )( ) ( ) ( ) ( )( ) ( ) ( ) ( ) ( )
( ) ( ) ( ) ( ) ( ) ( ) ( ) ( )( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( )
( )( ) ( )
2
2
4 2 2
4 44 2 3
5 56 4 2 2 4
3 5 3
0
tan 0 0
sec 0 1
2 sec tan 0 0
2 sec 2 sec tan 0 2
8 sec tan sec tan 0 0
8 2 sec 11 sec tan 2 sec tan 0 16
0 2 16tan! 3! 5!
n n
n
f x x f
f x x f
f x x x f
f x x x x f
f x x x x x f
f x x x x x x f
f x x x xx x xn
∞
=
= =
′ ′= =
′′ ′′= =
′′′ ′′′⎡ ⎤= + =⎣ ⎦
⎡ ⎤= + =⎣ ⎦
⎡ ⎤= + + =⎣ ⎦
= = + + + = +∑ 52 .3 15
x+ +
13. The Maclaurin series for ( ) cosf x x= is ( )( )
2
0
1.
2 !
n n
n
xn
∞
=
−∑
Because ( ) ( )1 sinnf x x+ = ± or cos ,x± you have ( ) ( )1 1nf z+ ≤ for all z. So by Taylor's Theorem,
( )( ) ( )( ) ( )
1110 .
1 ! 1 !
nnn
nxf z
R x xn n
+++≤ = ≤
+ +
Because ( )
1
lim 0,1 !
n
n
xn
+
→∞=
+it follows that ( ) 0nR x → as .n → ∞ So, the Maclaurin series for cos x converges to
cos x for all x.
14. The Maclaurin series for ( ) 2xf x e−= is ( )0
2.
!
n
n
xn
∞
=
−∑
( ) ( ) ( ) 11 22 .nn xf x e++ −= − So, by Taylor's Theorem,
( )( ) ( )( )
( )( )
11 21 12
0 .1 ! 1 !
nn zn nf z e
Rn x x xn n
++ −+ +−
≤ = =+ +
Because ( )( )
( )( )
1 112 2lim lim 0,
1 ! 1 !
n nn
n n
x xn n
+ ++
→∞ →∞
−= =
+ +it follows that ( ) 0nR x → as .n → ∞
So, the Maclaurin Series for 2xe− converges to 2xe− for all x.
15. The Maclaurin series for ( ) sinhf x x= is ( )
2 1
0.
2 1 !
n
n
xn
+∞
= +∑
( ) ( )1 sinhnf x x+ = (or cosh x). For fixed x,
( )( ) ( )( )
( )( )
11 1sinh
0 0 as .1 ! 1 !
nn n
nf z z
R x x x nn n
++ +≤ = = → → ∞
+ +
(The argument is the same if ( ) ( )1 coshnf x x+ = ). So, the Maclaurin series for sinh x converges to sinh x for all x.
16. The Maclaurin series for ( ) coshf x x= is ( )
2
0.
2 !
n
n
xn
∞
=∑
( ) ( )1 sinhnf x x+ = (or cosh x). For fixed x,
( )( ) ( )( )
( )( )
11 1sinh
0 0 as .1 ! 1 !
nn n
nf z z
R x x x nn n
++ +≤ = = → → ∞
+ +
(The argument is the same if ( ) ( )1 coshnf x x+ = ). So, the Maclaurin series for cosh x converges to cosh x for all x.
Section 9.10 Taylor and Maclaurin Series 365
© 2010 Brooks/Cole, Cengage Learning
17. Because ( ) ( ) ( )( )2 31 1 21 1 ,
2! 3!k k k x k k k x
x kx− + + ++ = − + − + you have
( ) ( ) ( )( ) ( )( )( )
( ) ( )
2 3 42 2 3 4
0
2 3 2 3 4 2 3 4 51 1 2 1 2 3 4 5
2! 3! 4!
1 1 .n n
n
x x xx x x x x x
n x
−
∞
=
+ = − + − + − = − + − + −
= − +∑
18. Because ( ) ( ) ( )( )2 31 1 21 1
2! 3!k k k x k k k x
x kx− + + ++ = − + − +
you have
( ) ( ) ( )( ) ( )( )( ) ( ) ( )4 2 3 4 2 3 4
0
4 5 4 5 6 4 5 6 7 3 !1 1 4 1 4 10 20 35 1
2! 3! 4! 3! !n n
n
nx x x x x x x x x x
n
∞−
=
++ = − + − + = − + − + − = −∑
19. Because ( ) ( ) ( )( )2 31 1 21 1 ,
2! 3!k k k x k k k x
x kx− + + ++ = − + − + you have
( ) ( )( ) ( )( )( )
( )( ) ( )( )( )
( )
2 31 2
2 3
2 3
1
1 2 3 2 1 2 3 2 5 211 12 2! 3!
1 3 1 3 51
2 2 2! 2 3!
1 3 5 2 11 .
2 !
n
nn
x xx x
x xx
n xn
−
∞
=
⎛ ⎞⎡ + − ⎤ = + + + +⎜ ⎟⎣ ⎦ ⎝ ⎠
= + + + +
⋅ ⋅ −= + ∑
20. Because ( ) ( ) ( )( )2 31 1 21 1
2! 3!k k k x k k k x
x kx− + + ++ = − + − + you have
( ) ( )( ) ( )( )( )
( )( ) ( )( )( )
( )
61 22 2 4
2 4 62 3
2
1
1 2 3 2 1 2 3 2 5 211 12 2! 3!
1 3 1 3 5112 2 2! 2 3!
1 3 5 2 11
2 !n
nn
xx x x
x x x
nx
n
−
∞
=
⎡ ⎤+ − = − + − +⎣ ⎦
= − + − +
⋅ ⋅ −= + ∑
21. 1 22
2
1 1 12 24
xx
−⎡ ⎤⎛ ⎞ ⎛ ⎞= +⎢ ⎥⎜ ⎟ ⎜ ⎟
⎝ ⎠ ⎝ ⎠+ ⎢ ⎥⎣ ⎦and because ( ) ( ) ( )1 2
1
1 1 3 5 2 11 1 ,
2 !
n n
nn
n xx
n
∞−
=
− ⋅ ⋅ −+ = + ∑ you have
( ) ( )( ) ( ) ( )2 2
3 121 1
1 1 3 5 2 1 2 1 1 3 5 2 11 1 11 .2 2 ! 2 2 !4
n n n n
n nn n
n x n xn nx
∞ ∞
+= =
⎡ ⎤− ⋅ ⋅ − − ⋅ ⋅ −⎢ ⎥= + = +⎢ ⎥+ ⎣ ⎦
∑ ∑
22. ( )
3
31 1 1 , 3
8 22x k
x
−⎛ ⎞= + = −⎜ ⎟⎝ ⎠+
( )
( ) ( )( ) ( ) ( )2 3
3 11
3 4 3 4 5 2 !1 1 11 3 1 18 2 2! 2 3! 2 8 2 !2
n nn
n
nx x x xnx
∞
+=
⎧ ⎫ ⎡ + ⎤⎪ ⎪⎛ ⎞ ⎛ ⎞ ⎛ ⎞= − + − + = + −⎨ ⎬ ⎢ ⎥⎜ ⎟ ⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠ ⎝ ⎠+ ⎣ ⎦⎪ ⎪⎩ ⎭
∑
23. ( )( ) ( )( ) ( ) ( )
1 2
12 3
2
1 1 , 1 2
1 2 1 2 1 2 1 2 3 2 1 3 5 2 31 11 1 1 12 2! 3! 2 2 !
n nn
n
x x k
nx x x x x x
n
∞+
=
+ = + =
− − − ⋅ ⋅ −+ = + + + + = + + −∑
366 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
24. ( ) ( )( ) ( )( )( )
( ) ( )
1 4 2 3
2 3 42 3 4
1
2
1 4 3 4 1 4 3 4 7 411 14 2! 3!
1 3 7 3 7 1114 4 2! 4 3! 4 4!
1 3 7 11 4 5114 4 !
nn
nn
x x x x
x x x x
nx x
n
+∞
=
− − −+ = + + + +
3 ⋅ ⋅ ⋅= + − + − +
− ⋅ ⋅ −= + + ∑
25. Because ( ) ( ) ( )11 2
2
1 1 3 5 2 31 1
2 2 !
n n
nn
n xxxn
+∞
=
− ⋅ ⋅ −+ = + + ∑
you have ( ) ( ) ( )1 221 22
2
1 1 3 5 2 31 1 .
2 2 !
n n
nn
n xxxn
+∞
=
− ⋅ ⋅ −+ = + + ∑
26. Because ( ) ( ) ( )11 2
2
1 1 3 5 2 31 1
2 2 !
n n
nn
n xxxn
+∞
=
− ⋅ ⋅ −+ = + + ∑
you have ( ) ( ) ( )1 331 23
2
1 1 3 5 2 31 1 .
2 2 !
n n
nn
n xxxn
+∞
=
− ⋅ ⋅ −+ = + + ∑
27.
( )
2 3 4 5
0
2 2 2 4 6 82 22 3 4
0 0
1! 2! 3! 4! 5!
21
! 2 ! 2 2 2! 2 3! 2 4!
nx
n
nn
xn
n n
x x x x xe xn
x x x x x xen n
∞
=
∞ ∞
= =
= = + + + + + +
= = = + + + + +
∑
∑ ∑
28.
( ) ( )
2 3 4 5
0
2 3 4 53
0 0
1! 2! 3! 4! 5!
3 1 3 9 27 81 2431 3! ! 2! 3! 4! 5!
nx
n
n n n nx
n n
x x x x xe xn
x x x x x xe xn n
∞
=
∞ ∞−
= =
= = + + + + + +
− −= = = − + − + − +
∑
∑ ∑
29. ( ) ( )1
1
1ln 1 , 0 2
nn
n
xx x
n
∞−
=
−= − < ≤∑
( ) ( ) 1
1
1ln 1 , 1 1
n n
n
xx x
n
−∞
=
−+ = − < ≤∑
30. ( ) ( )
( ) ( )
1
1
1 22
1
1 1ln , 0 2
1ln 1 , 1 1
n n
n
n n
n
xx x
n
xx x
n
−∞
=
−∞
=
− −= < ≤
−+ = − < ≤
∑
∑
31. ( )( )
( ) ( )( )
2 1
0
2 1
0
1sin
2 1 !
1 3sin 3
2 1 !
n n
n
n n
n
xx
n
xx
n
+∞
=
+∞
=
−=
+
−=
+
∑
∑
32. ( )( )
( ) ( )( )
2 1
0
2 1
0
1sin
2 1 !
1sin
2 1 !
n n
n
n n
n
xx
n
xx
nπ
π
+∞
=
+∞
=
−=
+
−=
+
∑
∑
33. ( )( )
( ) ( )( )
( )( )
2 2 4 6
0
2 2 2
0 0
2 4
1cos 1
2 ! 2! 4! 6!
1 4 1 4cos 4
2 ! 2 !
16 25612! 4!
n n
n
n n n n n
n n
x x x xxn
x xx
n n
x x
∞
=
∞ ∞
= =
−= = − + − +
− −= =
= − + −
∑
∑ ∑
34. ( )( )
( ) ( )( )
2
0
2
0
1cos
2 !
1cos
2 !
n n
n
n n
n
xx
n
xx
nπ
π
∞
=
∞
=
−=
−=
∑
∑
Section 9.10 Taylor and Maclaurin Series 367
© 2010 Brooks/Cole, Cengage Learning
35. ( )( )
( ) ( )( )
( )( )
2 2 4
0
23 23 2
0
3
0
3 6
1cos 1
2 ! 2! 4!
1cos
2 !
12 !
12! 4!
n n
n
nn
n
n n
n
x x xxn
xx
n
xn
x x
∞
=
∞
=
∞
=
−= = − + −
−=
−=
= − + −
∑
∑
∑
36. ( )( )
( ) ( )( )
2 1
0
2 133
0
9 153
9 153
1sin
2 1 !
12 sin 2
2 1 !
23! 5!
2 223! 5!
n n
n
nn
n
xx
n
xx
n
x xx
x xx
+∞
=
+∞
=
−=
+
−=
+
⎛ ⎞= − + −⎜ ⎟
⎝ ⎠
= − + −
∑
∑
37.
( ) ( )
( )
2 3 4 5
2 3 4 5
3 5 7
3 5 7 2 1
0
12! 3! 4! 5!
12! 3! 4! 5!
2 2 223! 5! 7!
1sinh2
3! 5! 7! 2 1 !
x
x
x x
x x
n
n
x x x xe x
x x x xe x
x x xe e x
x e e
x x x xxn
−
−
−
+∞
=
= + + + + + +
= − + − + − +
− = + + + +
= −
= + + + + =+∑
38.
( ) ( )
2 3
2 3
2 4
2
0
12! 3!
12! 3!
2 222! 4!
2 cos 22 !
x
x
x x
nx x
n
x xe x
x xe x
x xe e
xh x e en
−
−
∞−
=
= + + + +
= − + − +
+ = + + +
= + = ∑
39. ( ) ( )
( ) ( ) ( ) ( ) ( )( )
2
2 4 6 2
0
1cos 1 cos 22
2 2 2 1 21 11 1 12 2! 4! 6! 2 2 !
n n
n
x x
x x x xn
∞
=
= ⎡ + ⎤⎣ ⎦
⎡ ⎤ ⎡ ⎤−⎢ ⎥ ⎢ ⎥= + − + − − = +⎢ ⎥ ⎢ ⎥⎣ ⎦ ⎣ ⎦
∑
40. The formula for the binomial series gives ( ) ( ) ( )1 2
1
1 1 3 5 2 11 1 ,
2 !
n n
nn
n xx
n
∞−
=
− ⋅ ⋅ −+ = + ∑ which implies that
( ) ( ) ( )
( )( ) ( )
( )
21 22
1
22
2 1
1
3 5 7
1 1 3 5 2 11 1
2 !1ln 1
1
1 1 3 5 2 12 2 1 !
1 3 1 3 5 .2 3 2 4 5 2 4 6 7
n n
nn
n n
nn
n xx
n
x x dxx
n xx
n n
x x xx
∞−
=
+∞
=
− ⋅ ⋅ −+ = +
+ + =+
− ⋅ ⋅ −= +
+
⋅ ⋅ ⋅= − + − +
⋅ ⋅ ⋅ ⋅ ⋅ ⋅
∑
∫
∑
41. ( )( )
2 23 5 4 62
0
1sin
3! 5! 3! 5! 2 1 !
n n
n
xx x x xx x x x xn
+∞
=
−⎛ ⎞= − + − = − + − =⎜ ⎟ +⎝ ⎠
∑
42. ( )( )
2 12 4 3 5
0
1cos 1
2! 4! 2! 4! 2 !
n n
n
xx x x xx x x xn
+∞
=
−⎛ ⎞= − + − = − + − =⎜ ⎟
⎝ ⎠∑
43. ( ) ( ) ( )
( )
3 5 22 4
0
3! 5! 1sin 1 , 02! 4! 2 1 !
1, 0
n n
n
x x x xx x x xx x n
x
∞
=
− + − −= = − + − = ≠
+
= =
∑
368 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
44. ( )( ) ( )
( )( ) ( )
2 1 2
2 20 0
2 ! 2 !arcsin 1 , 02 ! 2 1 2 ! 2 1
1, 0
n n
n nn n
n x n xx xx xn n n n
x
+∞ ∞
= =
= ⋅ = ≠+ +
= =
∑ ∑
45. ( ) ( ) ( )
( ) ( ) ( )
( )
2 3 4 2 3 4 5 6
2 3 4 2 3 4 5 6
3 5 7
23 5 7
1 12! 3! 4! 2! 3! 4! 5! 6!
1 12! 3! 4! 2! 3! 4! 5! 6!
2 2 223! 5! 7!
12 3! 5! 7!
ix
ix
ix ix
n nix ix
ix ix ix x ix x ix xe ix ix
ix ix ix x ix x ix xe ix ix
ix ix ixe e ix
xe e x x xxi
−
−
+−
= + + + + + = + − − + + − −
− − −= − + + + + = − − + + − − +
− = − + − +
−−= − + − + =
( ) ( )1
0sin
2 1 !nx
n
∞
=
=+∑
46. ( )
( )( ) ( )
2 4 6
22 4 6
0
2 2 22 See Exercise 45.2! 4! 6!
11 cos
2 2! 4! 6! 2 !
ix ix
n nix ix
n
x x xe e
xe e x x x xn
−
− ∞
=
+ = − + − +
−+= − + − + = =∑
47. ( )
( )
2 3 4 3 5
3 3 4 4 5 5 52
3 52
3 52
5
sin
12 6 24 6 120
2 6 6 6 120 12 24
3 30
3 30
xf x e x
x x x x xx x
x x x x x x xx x
x xx x
x xP x x x
=
⎛ ⎞⎛ ⎞= + + + + + − + −⎜ ⎟⎜ ⎟⎝ ⎠⎝ ⎠
⎛ ⎞ ⎛ ⎞ ⎛ ⎞= + + − + − + − + +⎜ ⎟ ⎜ ⎟ ⎜ ⎟
⎝ ⎠ ⎝ ⎠ ⎝ ⎠
= + + − +
= + + −
48. ( )
( )
2 4 4 2 4
2 2 3 3 4 4 4
3 4
3 4
4
cos
1 12 6 24 2 24
12 2 6 2 24 4 24
13 6
13 6
xg x e x
x x x x xx
x x x x x x xx
x xx
x xP x x
=
⎛ ⎞⎛ ⎞= + + + + + − + −⎜ ⎟⎜ ⎟⎝ ⎠⎝ ⎠
⎛ ⎞ ⎛ ⎞ ⎛ ⎞= + + − + − + − + +⎜ ⎟ ⎜ ⎟ ⎜ ⎟
⎝ ⎠ ⎝ ⎠ ⎝ ⎠
= + − − +
= + − −
49. ( ) ( )
( )
2 4 2 3 4 5
2 3 3 4 4 5 5 5
2 3 5
2 3 5
5
cos ln 1
12 24 2 3 4 5
2 3 2 4 4 5 6 24
32 6 40
32 6 40
h x x x
x x x x x xx
x x x x x x x xx
x x xx
x x xP x x
= +
⎛ ⎞⎛ ⎞= − + + − + − + −⎜ ⎟⎜ ⎟⎝ ⎠⎝ ⎠
⎛ ⎞ ⎛ ⎞ ⎛ ⎞= − + − + − + − + +⎜ ⎟ ⎜ ⎟ ⎜ ⎟
⎝ ⎠ ⎝ ⎠ ⎝ ⎠
= − − + +
= − − +
−6 6
−2
P5
f
14
−6 6
−40
g
P4
8
−3 9
−4
h
P5
4
Section 9.10 Taylor and Maclaurin Series 369
© 2010 Brooks/Cole, Cengage Learning
50. ( ) ( )
( )
2 3 4 2 3 4 5
2 3 3 3 4 4 4 4 5 5 5 5 52
2 3 5
2 3 5
5
ln 1
12 6 24 2 3 4 5
2 3 2 2 4 3 4 6 5 4 6 12 24
32 3 40
32 3 40
xf x e x
x x x x x x xx x
x x x x x x x x x x x x xx x
x x xx
x x xP x x
= +
⎛ ⎞⎛ ⎞= + + + + + − + − + −⎜ ⎟⎜ ⎟⎝ ⎠⎝ ⎠
⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞= + − + − + + − + − + + − + − + +⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟
⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠
= + + + +
= + + +
51. ( ) sin .1
xg xx
=+
Divide the series for sin x by ( )1 .x+
3 42
3 52 4
2
32
2 3
34
3 4
4 5
4 5
5 56 6
1 0 06 120
6
5 06
5 56 6
56 120
5 56 6
x xx x
x xx x x x
x xxx
x xx x
x x
x x
x x
− + − +
+ + − + + +
+
− −
− −
+
+
− +
− −
( )
( )
3 42
3 42
4
5 56 6
6 6
x xg x x x
x xP x x x
= − + − +
5 5= − + −
52. ( ) .1
xef xx
=+
Divide the series for xe by ( )1 .x+
2 3 4
2 3 4 5
2 3
2 3
3 4
3 4
4 5
4 5
312 3 8
1 12 6 24 120
1
02 6
2 2
3 24
3 338 120
3 38 8
x x x
x x x xx x
xx x
x x
x x
x x
x x
x x
+ − + +
+ + + + + + +
+
+ +
+
− +
− −
+
+
( )
( )
2 3 4
2 3 4
4
312 3 8
312 3 8
x x xf x
x x xP x
= + − + −
= + − +
53.
( )
4 32
3! 3!
sin
x xy x x x
f x x x
⎛ ⎞= − = −⎜ ⎟
⎝ ⎠=
Matches (c)
−3 3
−3
f P5
3
−6 6
−4
g
4
P4
−6 6
−6
fP4
6
370 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
54.
( )
3 5 2 41
2! 4! 2! 4!
cos
x x x xy x x
f x x x
⎛ ⎞= − + = − +⎜ ⎟
⎝ ⎠=
Matches (d)
55.
( )
3 22 1
2! 2!x
x xy x x x x
f x xe
⎛ ⎞= + + = + +⎜ ⎟
⎝ ⎠
=
Matches (a)
56. ( )( )
2 3 4 2 2
2
1
11
y x x x x x x
f x xx
= − + = − +
=+
Matches (b)
57. ( ) ( )
( )( )
( )( )( )
( )( )( )
22
0 00
1 2 2
00
1 2 3
0 0
1 2 3
0
11 1
!
11 !
12 3 1 !
12 3 1 !
n nx xt
n
n nx
n
xn n
n
n n
n
te dt dt
n
tdt
n
tn n
xn n
∞−
=
+ +∞
=
+ +∞
=
+ +∞
=
⎡ ⎤⎛ ⎞−⎢ ⎥⎜ ⎟− = −⎜ ⎟⎢ ⎥⎝ ⎠⎣ ⎦
⎡ ⎤−= ⎢ ⎥
+⎢ ⎥⎣ ⎦
⎡ ⎤−= ⎢ ⎥
+ +⎢ ⎥⎣ ⎦
−=
+ +
∑∫ ∫
∑∫
∑
∑
58. ( ) ( )
( ) ( )( )
( ) ( )( )
1 333
0 02
1 3 14
2 0
1 3 14
2
1 1 3 5 2 31 1
2 2 !
1 1 3 5 2 38 3 1 2 !
1 1 3 5 2 38 3 1 2 !
n nx x
nn
xn n
nn
n n
nn
n ttt dt dtn
n tttn n
n xxxn n
−∞
=
− +∞
=
− +∞
=
⎡ ⎤− ⋅ ⋅ ⋅ ⋅ ⋅ −⎢ ⎥+ = + +⎢ ⎥⎣ ⎦
⎡ ⎤− ⋅ ⋅ ⋅ ⋅ ⋅ −⎢ ⎥= + +
+⎢ ⎥⎣ ⎦
− ⋅ ⋅ ⋅ ⋅ ⋅ −= + +
+
∑∫ ∫
∑
∑
59. Because ( ) ( ) ( ) ( ) ( ) ( ) ( )1 2 3 4
0
1 1 1 1 1ln 1 , 0 2
1 2 3 4
n n
n
x x x xx x x
n
+∞
=
− − − − −= = − − + − + < ≤
+∑
you have ( ) ( )1
1
1 1 1 1ln 2 1 1 0.6931. 10,001 terms2 3 4
n
n n
∞+
=
= − + − + = − ≈∑
60. Because ( ) ( )( )
2 1 3 5 7
0
1sin ,
2 1 ! 3! 5! 7!
n n
n
x x x xx xn
+∞
=
−= = − + − +
+∑ you have
( ) ( )( ) ( )
0
1 1 1 1sin 1 1 0.8415. 4 terms2 1 ! 3! 5! 7!
n
n n
∞
=
−= = − + − + ≈
+∑
61. Because 2 3
01 ,
! 2! 3!
nx
n
x x xe xn
∞
=
= = + + + +∑
you have ( )2 3
2
0
2 2 21 2 7.3891. 12 terms2! 3! !
n
ne
n
∞
=
= + + + + = ≈∑
62. Because 2 3 4 5
01 ,
! 2! 3! 4! 5!
nx
n
x x x x xe xn
∞
=
= = + + + + + +∑ you have 1 1 1 1 11 12! 3! 4! 5!
e− = − + − + − +
and ( ) ( )1
1
1
11 1 1 1 1 11 1 0.6321. 6 terms2! 3! 4! 5! 7! !
n
n
e ee n
−∞−
=
−−= − = − + − + − + = ≈∑
Section 9.10 Taylor and Maclaurin Series 371
© 2010 Brooks/Cole, Cengage Learning
63. Because
( )( )
( )( )
( )( )
2 2 4 6 8
0
2 22 4 6 8
0
2 13 5 7
0
1cos 1
2 ! 2! 4! 6! 8!
11 cos
2! 4! 6! 8! 2 2 !
11 cos2! 4! 6! 8! 2 2 !
n n
nn n
nn n
n
x x x x xxn
xx x x xxn
xx x x xx n
∞
=
+∞
=
+∞
=
−= = − + − + −
−− = − + − + =
+
−−= − + − + =
+
∑
∑
∑
you have ( )( )
2 1
0 0 0
11 coslim lim 0.2 2 !
n
x x n
xxx n
+∞
→ → =
−−= =
+∑
64. Because
( )( )
( )( )
2 1 3 5 7
0
22 4 6
0
1sin
2 1 ! 3! 5! 7!
1sin 13! 5! 7! 2 1 !
n n
n
n n
n
x x x xx xn
xx x x xx n
+∞
=
∞
=
−= = − + − +
+
−= − + − + =
+
∑
∑
you have ( )( )
2
0 0 0
1sinlim lim 1.2 1 !
n n
x x n
xxx n
∞
→ → =
−= =
+∑
65. Because 2 3
12! 3!
x x xe x= + + + +
( )
2 3 1
01
2! 3! 1 !
nx
n
x x xe xn
+∞
=
− = + + ++∑
and ( )
2
0
1 12! 3! 1 !
x n
n
e x x xx n
∞
=
−= + + +
+∑
you have ( )0 0
1lim lim 1.1 !
x n
x x
e xx n→ →
−= =
+∑
66. Because ( )2 3
ln 12 3x xx x+ = − + −
(See Exercise 29.)
( ) ( )2
0
ln 1 11
2 3 1
n n
n
x xx xx n
∞
=
+ −= − + −
+∑
you have ( ) ( )0 0 0
ln 1 1lim lim 1.
1
n n
x x n
x xx n
∞
→ → =
+ −= =
+∑
67.
( )
( )
( )( )
( )( )
( ) ( )
31 13
0 00
31
00
13 1
0 0
0
!
1!
13 1 !
13 1 !
1 1 11 14 14 3 1 !
n
x
n
n n
n
n n
n
n
n
n
xe dx dx
n
xdx
n
xn n
n n
n n
∞−
=
∞
=
+∞
=
∞
=
⎡ ⎤−⎢ ⎥=⎢ ⎥⎣ ⎦
⎡ ⎤−⎢ ⎥=⎢ ⎥⎣ ⎦
⎡ ⎤−⎢ ⎥=
+⎢ ⎥⎣ ⎦
−=
+
= − + − + − ++
∑∫ ∫
∑∫
∑
∑
Because ( )
1 0.0001,3 6 1 6!
<⎡ + ⎤⎣ ⎦
you need 6 terms.
( )( )
51 2
00
10.8075
3 1 !
nx
ne dx
n n−
=
−≈ ≈
+∑∫
68. ( )1 43 4 5 3 4 5 61 4 1 4 2
0 00
ln 12 3 4 3 4 2 5 3 6 4x x x x x x xx x dx x dx
⎛ ⎞ ⎡ ⎤+ = − + − + = − + − +⎜ ⎟ ⎢ ⎥⋅ ⋅ ⋅⎝ ⎠ ⎣ ⎦
∫ ∫
Because ( ) ( ) ( ) ( )5 3 41 4
0
1 4 1 4 1 40.0001, ln 1 0.00472.
15 3 8x x dx< + ≈ − ≈∫
69. ( )( )
( )( )( )
( )( )( )
12 2 11 1
0 00 0 00
1 1 1sin2 1 ! 2 1 2 1 ! 2 1 2 1 !
n n nn n
n n n
x xx dx dxx n n n n n
+∞ ∞ ∞
= = =
⎡ ⎤ ⎡ ⎤− − −⎢ ⎥ ⎢ ⎥= = =
+ + + + +⎢ ⎥ ⎢ ⎥⎣ ⎦ ⎣ ⎦∑ ∑ ∑∫ ∫
Because ( )1 7 7! 0.0001,⋅ < you need three terms:
( )1
0
sin 1 11 0.9461. using three nonzero terms3 3! 5 5!
x dxx
= − + − ≈⋅ ⋅∫
Note: You are using 0
sinlim 1.x
xx+→
=
372 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
70. ( )( )
( )( )( )
( )( )( )
41 120 0
0
14 1
0 0
0
1cos
2 !
14 1 2 !
14 1 2 !
n n
n
n n
n
n
n
xx dx dx
n
xn n
n n
∞
=
+∞
=
∞
=
⎡ ⎤−⎢ ⎥=⎢ ⎥⎣ ⎦
⎡ ⎤−⎢ ⎥=
+⎢ ⎥⎣ ⎦
−=
+
∑∫ ∫
∑
∑
( )( )( )
31 20
0
1cos 0.904523
4 1 2 !
n
nx dx
n n=
−≈ ≈
+∑∫
Because ( ) ( )
1 0.0001,4 4 1 2 4 !
<⎡ + ⎤⎡ ⎤⎣ ⎦⎣ ⎦
you need 4 terms.
71. 2 4 61 2 1 2
0 0
1 23 5 7
2 2 20
arctan 13 5 7
3 5 7
x x x xdx dxx
x x xx
⎛ ⎞= − + − +⎜ ⎟
⎝ ⎠
⎡ ⎤= − + − +⎢ ⎥⎣ ⎦
∫ ∫
Because ( )2 91 9 2 0.0001,< you have
1 2
2 3 2 5 2 7 2 90
arctan 1 1 1 1 12 3 2 5 2 7 2 9 2
0.4872.
x dxx
⎛ ⎞≈ − + − +⎜ ⎟⎝ ⎠
≈
∫
Note: You are using 0
arctanlim 1.x
xx+→
=
72. ( ) ( )
( )( )( )
( )( )( )
4 21 2 120 0
0
1 24 3
0 0
4 30
1arctan
2 1
14 3 2 1
14 3 2 1 2
n n
n
n n
n
n
nn
xx dx dx
n
xn n
n n
+∞
=
+∞
=
∞
+=
⎡ ⎤−⎢ ⎥=
+⎢ ⎥⎣ ⎦
⎡ ⎤−⎢ ⎥=
+ +⎢ ⎥⎣ ⎦
−=
+ +
∑∫ ∫
∑
∑
Because ( )( ) 4 3
1 0.00014 3 2 1 2 nn n + <
+ +
when 2,n = you need 2 terms.
( ) ( ) ( )1 2 2
3 70
1 1arctan 0.0412953 1 2 7 3 2
x dx ≈ − ≈⋅∫
73. 0.33 6 9 12 4 7 10 130.3 0.33
0.1 0.10.1
5 51 12 8 16 128 8 56 160 1664x x x x x x x xx dx dx x
⎛ ⎞ ⎡ ⎤+ = + − + − + = + − + − +⎜ ⎟ ⎢ ⎥
⎝ ⎠ ⎣ ⎦∫ ∫
Because ( )7 71 0.3 0.1 0.0001,56
− < you need two terms.
( ) ( )0.3 3 4 40.1
11 0.3 0.1 0.3 0.1 0.201.8
x dx ⎡ ⎤+ = − + − ≈⎢ ⎥⎣ ⎦∫
74. ( )4 6
1 22 2 2 2 4 6
0.23 5 70.2 0.22 2 4 60 0
0
1 1 1 1 31 1 1 12 2 2 2 21 1 1 12 2! 3! 2 8 16
1 1 11 12 8 16 6 40 112
x xx x x x x x
x x xx dx x x x dx x
⎛ ⎞ ⎛ ⎞⎛ ⎞− − −⎜ ⎟ ⎜ ⎟⎜ ⎟⎝ ⎠ ⎝ ⎠⎝ ⎠+ = + = + + + + = + − + −
⎡ ⎤⎡ ⎤+ = + − + − = + − + −⎢ ⎥⎢ ⎥⎣ ⎦ ⎣ ⎦∫ ∫
Because ( )50.20.0001,
40< you need 2 terms.
( )30.2 20
0.21 0.2 0.201333
6x dx+ ≈ + ≈∫
Section 9.10 Taylor and Maclaurin Series 373
© 2010 Brooks/Cole, Cengage Learning
75. ( ) ( )
( )( ) ( )
( )
( ) ( )
( )( )
22
4 1 2 4 3 2 4 3 22 2
0 00 0 0 0
0
1 1 1 2cos
4 32 ! 4 3 2 !2 !2
n n nn n n
n n n
x x xx x dx dx
nn n nn
ππ
π π+ + +∞ ∞ ∞
= = =
⎡ ⎤⎢ ⎥⎡ ⎤ ⎡ ⎤− − −⎢ ⎥⎢ ⎥ ⎢ ⎥= = =
+ +⎛ ⎞⎢ ⎥⎢ ⎥ ⎢ ⎥⎣ ⎦ ⎣ ⎦⎜ ⎟⎢ ⎥⎝ ⎠⎣ ⎦
∑ ∑ ∑∫ ∫
Because ( ) ( )23 22 2 23 10! 0.0001,π ⋅ < you need five terms.
( ) ( ) ( ) ( ) ( )3 2 7 2 11 2 15 2 19 21
0
2 2 2 2 2cos 2 0.7040.
3 14 264 10,800 766,080x x dx
π π π π π⎡ ⎤⎢ ⎥= − + − + ≈⎢ ⎥⎣ ⎦
∫
76. ( ) ( ) ( ) ( )
12 3 4 2 3 4 51 1
0.5 0.50.5
cos 12! 4! 6! 8! 2 2! 3 4! 4 6! 5 8!x x x x x x x xx dx dx x
⎡ ⎤⎛ ⎞= − + − + − = − + − + −⎢ ⎥⎜ ⎟
⎢ ⎥⎝ ⎠ ⎣ ⎦∫ ∫
Because ( )51 1 0.5 0.0001,201,600
− < you have
( ) ( ) ( ) ( ) ( )1 2 3 4 50.5
1 1 1 1cos 1 0.5 1 0.5 1 0.5 1 0.5 1 0.5 0.3243.4 72 2880 201,600
x dx ⎡ ⎤≈ − − − + − − − + − ≈⎢ ⎥⎣ ⎦∫
77. From Exercise 27, you have
( ) ( )( )
( )( )
12 2 11 12 2
0 00 0 00
2 3
1 1 11 1 1 12 ! 2 ! 2 1 2 ! 2 12 2 2 2
1 1 1 11 0.3412.2 1 3 2 2! 5 2 3! 72
n n nn nx
n n nn n n
x xe dx dx
n n n n nπ π π π
π
+∞ ∞ ∞−
= = =
⎡ ⎤− − −⎢ ⎥= = =
+ +⎢ ⎥⎣ ⎦
⎛ ⎞≈ − + − ≈⎜ ⎟⋅ ⋅ ⋅ ⋅ ⋅ ⋅⎝ ⎠
∑ ∑ ∑∫ ∫
78. From Exercise 27, you have
( ) ( )( )
( ) ( )( )
22 2 12 22 2
1 10 0 1
1
0
2 3 4 5
6 7 8
1 11 1 12 ! 2 ! 2 12 2 2
1 2 112 ! 2 12
1 7 31 127 511 204712 1 3 2 2! 5 2 3! 7 2 4! 9 2 5! 112
8191 32,767 131,0712 6! 13 2 7! 15 2
n nn nx
n nn n
n n
nn
x xe dx dx
n n n
n n
π π π
π
π
+∞ ∞−
= =
+∞
=
⎡ ⎤− −⎢ ⎥= =
+⎢ ⎥⎣ ⎦
− −=
+
⎛ ⎞≈ − + − + −⎜ ⎟⋅ ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ ⋅⎝ ⎠
+ − +⋅ ⋅ ⋅ ⋅ ⋅
∑ ∑∫ ∫
∑
9524,287 0.1359.
8! 17 2 9! 19− ≈
⋅ ⋅ ⋅
79. ( ) ( )( )
( )
2 1
0
53
5
1 4cos 2
2 !
223
n n n
n
xf x x x
n
xP x x x
+∞
=
−= =
= − +
∑
The polynomial is a reasonable approximation on the
interval 3 3, .4 4
⎡ ⎤−⎢ ⎥⎣ ⎦
80. ( ) ( )
( )2 3 4 5
5
sin ln 12
7 112 4 48 96
xf x x
x x x xP x
= +
= − + −
The polynomial is a reasonable approximation on the interval ( )0.60, 0.73 .−
3−3
−2
f
2
P5
−4 8
−4
f
P5
4
374 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
81. ( )
( ) ( ) ( ) ( ) ( )3 4 5
5
ln , 1
1 1 71 11
24 24 1920
f x x x c
x x xP x x
= =
− − −= − − + −
The polynomial is a reasonable approximation on the interval 1, 2 .4⎡ ⎤⎢ ⎥⎣ ⎦
82. ( )
( ) ( ) ( ) ( ) ( ) ( )
3
2 3 4 5
5
arctan , 1
1 1 1 10.7854 0.7618 1 0.3412 0.0424 1.3025 5.5913
2! 3! 4! 5!
f x x x c
x x x xP x x
= ⋅ =
⎡ ⎤ ⎡ ⎤ ⎡ ⎤ ⎡ ⎤− − − −≈ + − − ⎢ ⎥ − ⎢ ⎥ + ⎢ ⎥ − ⎢ ⎥
⎢ ⎥ ⎢ ⎥ ⎢ ⎥ ⎢ ⎥⎣ ⎦ ⎣ ⎦ ⎣ ⎦ ⎣ ⎦
The polynomial is a reasonable approximation on the interval ( )0.48, 1.75 .
83. See Guidelines, page 682.
84. 2 1 0na + = (odd coefficients are zero)
85. The binomial series is ( ) ( ) ( )( )2 31 1 21 1 .
2! 3!k k k k k k
x kx x x− − −
+ = + + + + The radius of convergence is 1.R =
86. (a) Replace x with ( ).x−
(b) Replace x with 3 .x
(c) Multiply series by x. (d) Replace x with 2 ,x then replace x with 2 ,x− and add the two together.
87.
( )
( )
20 0
2 3 4
20 0 0 0 0
2 3 2 4
2 2 3 3 40 0 0 0 0
tan ln 1cos cos
1 1 1tancos cos 2 cos 3 cos 4 cos
tancos cos 2 cos 3 cos 4
g g kxy xkv k v
gx g kx kx kx kxxkv k v v v v
gx gx gx gkx gk xxkv kv v v v
θθ θ
θθ θ θ θ θ
θθ θ θ θ
⎛ ⎞ ⎛ ⎞= − − −⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠
⎡ ⎤⎛ ⎞ ⎛ ⎞ ⎛ ⎞⎢ ⎥= − − − − − − −⎜ ⎟ ⎜ ⎟ ⎜ ⎟⎢ ⎥⎝ ⎠ ⎝ ⎠ ⎝ ⎠⎣ ⎦
= − + + + +
( )
4
2 3 2 4
2 2 3 3 4 40 0 0
cos
tan2 cos 3 cos 4 cos
gx kgx k gxxv v v
θ
θθ θ θ
+
= + + + +
−2 4
−1
f
P5
3
−2 4
−2
g
3
P5
Section 9.10 Taylor and Maclaurin Series 375
© 2010 Brooks/Cole, Cengage Learning
88.
( ) ( )( )( )( ) ( )
( ) ( )( ) ( )
( ) ( ) ( ) ( )
( ) ( ) ( ) ( )
0
23 42
2 2 3 3 4 4
2 2 3 3 4 4
2 3 4 2
2 22 2
160 , 64, , 3216
1 16 32 1 16 323232 64 1 2 3 64 1 2 4 64 1 2
2 2 23 322 64 3 64 16 4 64 16
23 32 3 3264 16 32 16
n n n
n n n nn n
v k g
x xxy x
x x xx
x xx xn n
θ
∞ ∞
− −= =
= ° = = = −
= − − − −
⎡ ⎤⎢ ⎥= − + + +⎢ ⎥⎣ ⎦
= − = −∑ ∑
89. ( )21 , 0
0, 0
xe xf xx
−⎧ ≠⎪= ⎨=⎪⎩
(a)
(b) ( ) ( ) ( ) 21
0 0
0 00 lim lim0
x
x x
f x f efx x
−
→ →
− −′ = =−
21
0
21 2
2 20 0 0
Let lim . Then
1 1 lnln lim ln lim ln lim .
x
x
x
x x x
eyx
e x xy xx x x
−
→
−
+ +→ → →
=
⎛ ⎞ ⎡ ⎤− −⎡ ⎤⎜ ⎟= = − − = = −∞⎢ ⎥⎢ ⎥⎜ ⎟ ⎣ ⎦ ⎣ ⎦⎝ ⎠
So, 0y e−∞= = and you have ( )0 0.f ′ =
(c) ( ) ( ) ( ) ( ) ( ) ( )
2
0
0 0 00 0
! 1! 2!
nn
n
f f x f xx f f x
n
∞
=
′ ′′= + + + = ≠∑ This series converges to f at 0x = only.
90. (a) ( ) ( )2
2
ln 1.
xf x
x
+=
From Exercise 10, you obtain:
( ) ( )2 2 2
20 0
2 4 6 8
8
1 111 1
1 .2 3 4 5
n nn n
n n
x xP
x n n
x x x xP
+∞ ∞
= =
− −= =
+ +
= − + − +
∑ ∑
(b)
0 2
−0.5
1.5
21 3
2
1
−1−2−3x
y
376 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
(c) ( ) ( )
( ) ( )
2
20
80
ln 1x
x
tF x dt
t
G x P t dt
+=
=
∫
∫
(d) The curves are nearly identical for 0 1.x< < Hence, the integrals nearly agree on that interval.
91. By the Ratio Test: ( )
1 !lim lim 01 ! 1
n
nn n
xx nn x n
+
→∞ →∞⋅ = =
+ +which shows that
0 !
n
n
xn
∞
=∑ converges for all x.
92. ( ) ( )
2 3 2 3 3 5 2
0
1ln ln 1 ln 11
2 2 2 ) 2 , 12 3 2 3 3 5 2 1
n
n
x x xx
x x x x x x xx x x x Rn
∞
=
+⎛ ⎞ = + − −⎜ ⎟−⎝ ⎠
⎛ ⎞ ⎛ ⎞= − + − − − − − − = + + + = =⎜ ⎟ ⎜ ⎟ +⎝ ⎠ ⎝ ⎠
∑
( ) ( ) ( )
( )
2 4 61 2 1 2 1 21 1 2 1 1 1 1ln 3 ln 2 1 1 1.0980651 1 2 2 3 5 7 12 80 448
ln 3 1.098612
⎡ ⎤⎛ ⎞+ ⎛ ⎞ ⎢ ⎥= ≈ + + + = + + + ≈⎜ ⎟ ⎜ ⎟− ⎝ ⎠ ⎢ ⎥⎝ ⎠ ⎣ ⎦≈
93. 5 4 3 60 10
3! 63⎛ ⎞ 5 ⋅ ⋅
= = =⎜ ⎟⎝ ⎠
94. ( )( )2 2 33
2!2− − −⎛ ⎞
= =⎜ ⎟⎝ ⎠
95. ( )( )( )( )0.5 0.5 0.5 1.5 2.5 50.03906254! 1284
⎛ ⎞ − − −= = − = −⎜ ⎟
⎝ ⎠
96. ( )( )( )( )( )1 3 1 3 4 3 7 3 10 3 13 35!5
91 0.12483729
− − − − − −⎛ ⎞=⎜ ⎟
⎝ ⎠−
= ≈ −
97. ( )0
1 k n
n
kx x
n
∞
=
⎛ ⎞+ = ⎜ ⎟
⎝ ⎠∑
Example: ( )2 2
0
21 1 2n
nx x x x
n
∞
=
⎛ ⎞+ = = + +⎜ ⎟
⎝ ⎠∑
98. Assume e p q= is rational. Let N q> and form the following.
( ) ( )
1 1 1 11 12! ! 1 ! 2 !
eN N N
⎡ ⎤− + + + + = + +⎢ ⎥ + +⎣ ⎦
( ) ( ) ( )( ) ( )
( )
2
2
1Set ! 1 1 , a positive integer. But,!
1 1 1 1 1 1!1 ! 2 ! 1 1 2 1 1
1 1 1 1 1 11 , a contradiction.11 1 11 1
1
a N eN
a NN N N N N N N
N N N NNN
⎡ ⎤⎛ ⎞= − + + +⎜ ⎟⎢ ⎥⎝ ⎠⎣ ⎦
⎡ ⎤= + + = + + < + +⎢ ⎥
+ + + + + + +⎢ ⎥⎣ ⎦
⎡ ⎤ ⎡ ⎤⎢ ⎥= + + + = =⎢ ⎥+ + + ⎛ ⎞⎢ ⎥+⎣ ⎦ ⎢ ⎥− ⎜ ⎟+⎢ ⎥⎝ ⎠⎣ ⎦
…
x 0.25 0.50 0.75 1.00 1.50 2.00
( )F x 0.2475 0.4810 0.6920 0.8776 1.1798 1.4096
( )G x 0.2475 0.4810 0.6924 0.8865 1.6878 9.6063
Review Exercises for Chapter 9 377
© 2010 Brooks/Cole, Cengage Learning
99. ( )
( )( )( ) ( ) ( )
20 1 22
2 20 1 2
2 30 1 0 2 1 0 3 2 1
11
xg x a a x a xx x
x x x a a x a x
x a a a x a a a x a a a x
= = + + +− −
= − − + + +
= + − + − − + − − +
Equating coefficients,
0
1 0 1
2 1 0 2
3 2 1 3
4 3 2
01 1
0 10 23, etc.
aa a aa a a aa a a aa a a
=
− = ⇒ =
− − = ⇒ =
− − = ⇒ =
= + =
In general, 1 2.n n na a a− −= + The coefficients are the Fibonacci numbers.
100. Assume the interval is [ ]1, 1 .− Let [ ]1, 1 ,x ∈ −
( ) ( ) ( ) ( ) ( ) ( ) ( )
( ) ( ) ( ) ( ) ( ) ( ) ( )
2
2
12
12
1 1 1 , , 1
1 1 1 , 1, .
f f x x f x x f c c x
f f x x f x x f d d x
′ ′′= + − + − ∈
′ ′′− = + − − + − − ∈ −
So, ( ) ( ) ( ) ( ) ( ) ( ) ( )
( ) ( ) ( ) ( ) ( ) ( ) ( )
2 2
2 2
1 12 2
1 12 2
1 1 2 1 1
2 1 1 1 1 .
f f f x x f c x f d
f x f f x f c x f d
′ ′′ ′′− − = + − − +
′ ′′ ′′= − − − − + +
Because ( ) 1f x ≤ and ( ) 1,f x′′ ≤
( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) ( )2 2 22 21 1 1 12 2 2 22 1 1 1 1 1 1 1 1 3 4.f x f f x f c x f d x x x′ ′′ ′′≤ + − + − + + ≤ + + − + + = + ≤
So, ( ) 2.f x′ ≤
Note: Let ( ) ( )212 1 1.f x x= + − Then ( ) ( )1, 1f x f x′ ′′≤ = and ( )1 2.f ′ =
Review Exercises for Chapter 9
1. 1! 1na
n=
+
2. 2 1nna
n=
+
3. 24 : 6, 5, 4.67,nan
= + …
Matches (a)
4. 4 : 3.5, 3,2nna = − …
Matches (c)
5. ( ) 110 0.3 : 10, 3,nna −= …
Matches (d)
6. ( ) 1236 : 6, 4,
nna
−= − − …
Matches (b)
7. 5 2n
nan+
=
The sequence seems to converge to 5.
5 2lim lim
2lim 5 5
nn n
n
nan
n
→∞ →∞
→∞
+=
⎛ ⎞= + =⎜ ⎟⎝ ⎠
1200
8
378 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
8. sin2n
na π=
The sequence seems to diverge (oscillates).
sin : 1, 0, 1, 0, 1, 0,2
nπ− …
9. ( )78lim 3 3
n
n→∞
⎡ ⎤+ =⎢ ⎥⎣ ⎦
Converges
10. 5lim 1 11n n→∞
⎡ ⎤+ =⎢ ⎥+⎣ ⎦
Converges
11. 3
21lim
n
nn→∞
+= ∞
Diverges
12. 1lim 0n n→∞
=
Converges
13. 2lim 01n
nn→∞
=+
Converges
14. ( )
1lim limln 1n n
nn n→∞ →∞
= = ∞
Diverges
15. ( ) ( ) 1lim 1 lim 11
1lim 01
n n
n
n nn n n nn n
n n
→∞ →∞
→∞
+ ++ − = + −
+ +
= =+ +
Converges
16. 1 2
1 21 1lim 1 lim 12
n k
n ke
n k→∞ →∞
⎡ ⎤⎛ ⎞ ⎛ ⎞+ = + =⎢ ⎥⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠⎢ ⎥⎣ ⎦
Converges; 2k n=
17. sinlim 0n
nn→∞
=
Converges
18. Let ( )( )
1
lnln
nn n
n n
y b c
b cy
n
= +
+=
( )1lim ln lim ln ln .n nn nn n
y b b c cb c→∞ →∞
= ++
Assume b c≥ and note that the terms
ln ln ln lnn n n n
n n n n n nb b c c b b c c
b c b c b c+
= ++ + +
converge as .n → ∞ Hence na converges.
19. (a)
1
1
2
3
4
5
6
7
8
0.058000 1 , 1, 2, 3,4
0.058000 1 $8100.004
$8201.25$8303.77$8407.56$8512.66$8619.07$8726.80$8835.89
n
nA n
A
AAAAAAA
⎛ ⎞= + =⎜ ⎟⎝ ⎠
⎛ ⎞= + =⎜ ⎟⎝ ⎠
=
=
=
=
=
=
=
…
(b) 40 $13,148.96A =
20. (a) ( )175,000 0.70 , 1, 2,nnV n= = …
(b) ( )55 175,000 0.70 $29,412.25V = ≈
21. (a)
The series diverges ( )32geometric 1 .r = >
(b)
22. (a)
The series converges by the Alternating Series Test. (b)
n 5 10 15 20 25
nS 13.2 113.3 873.8 6648.5 50,500.3
n 5 10 15 20 25
nS 0.3917 0.3228 0.3627 0.3344 0.3564
0 12
−2
2
120
−10
120
0 120
1
Review Exercises for Chapter 9 379
© 2010 Brooks/Cole, Cengage Learning
23. (a)
The series converges by the Alternating Series Test. (b)
24. (a)
The series converges, by the Limit Comparison Test with 21 .n∑
(b)
25. 0
23
n
n
∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
∑ Geometric series with 1a = and 2.3
r =
( )1 1 3
1 1 2 3 1 3aS
r= = = =
− −
26. ( )2
0 0
2 24 4 3 123 3
nn
nn n
+∞ ∞
= =
⎛ ⎞= = =⎜ ⎟⎝ ⎠
∑ ∑
See Exercise 25.
27. ( ) ( ) ( ) ( ) ( ) ( )1 0 0
1 1 6 10 8 10 110.6 0.8 0.6 0.6 0.8 0.8 0.6 0.8 5.51 0.6 1 0.8 10 4 10 2 2
n n n n
n n n
∞ ∞ ∞
= = =
⎡ ⎤+ = + = + = ⋅ + ⋅ = =⎣ ⎦ − −∑ ∑ ∑
28. ( )( )
( )
0 0 0
2 1 2 1 13 1 2 3 1 2
1 1 1 1 1 11 3 1 21 2 3 2 2 3 3 4
n n
n n nn n n n
∞ ∞ ∞
= = =
⎡ ⎤⎛ ⎞ ⎛ ⎞ ⎛ ⎞− = − −⎢ ⎥⎜ ⎟ ⎜ ⎟ ⎜ ⎟+ + + +⎝ ⎠ ⎝ ⎠ ⎝ ⎠⎢ ⎥⎣ ⎦
⎡ ⎤⎛ ⎞ ⎛ ⎞ ⎛ ⎞= − − + − + − + = − =⎜ ⎟ ⎜ ⎟ ⎜ ⎟⎢ ⎥− ⎝ ⎠ ⎝ ⎠ ⎝ ⎠⎣ ⎦
∑ ∑ ∑
29. (a) ( ) ( )( )0
0.09 0.09 0.0009 0.000009 0.09 1 0.01 0.0001 0.09 0.01 n
n
∞
=
= + + + = + + + = ∑
(b) 0.09 10.091 0.01 11
= =−
30. (a) ( ) ( )0
0.64 0.64 0.0064 0.000064 0.64 1 0.01 0.0001 0.64 0.01 n
n
∞
=
= + + + = + + + = ∑
(b) 0.64 640.641 0.01 99
= =−
31. Diverges. Geometric series with 1a = and 1.67 1.r = >
n 5 10 15 20 25
nS 0.4597 0.4597 0.4597 0.4597 0.4597
n 5 10 15 20 25
nS 0.8333 0.9091 0.9375 0.9524 0.9615
120
−0.1
1
0 120
1
380 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
32. Converges. Geometric series with 1a = and 0.67 1.r = <
33. Diverges. nth-Term Test. lim 0.nn
a→∞
≠
34. Diverges. nth-Term Test, 23lim .n
na
→∞=
35.
( ) ( ) ( )
( ) ( ) ( )
( )
1
2
2
0
8
0.7 8 0.7 8 16 0.7
8 16 0.7 16 0.7 16 0.7
16 18 16 0.7 8 45 meters1 0.7 3
n
n
n
D
D
D∞
=
=
= + =
= + + + + +
= − + = − + =−∑
36. ( )
( )
39
0
40
42,000 1.055
42,000 1 1.055$5,737,435.79
1 1.055
n
nS
=
=
−= ≈
−
∑
37. (See Exercise 116 in Section 9.2)
( )
( )( )12
0.06 2
0.06 12
11
300 1$7630.70
1
rt
r
P eA
e
e
e
−=
−
−= ≈
−
38. (See Exercise 116 in Section 9.2)
( )
12
12 10
12 1 112
12 0.035125 1 1 $17,929.060.035 12
trA Pr
⎡ ⎤⎛ ⎞ ⎛ ⎞= + −⎢ ⎥⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠⎢ ⎥⎣ ⎦
⎡ ⎤⎛ ⎞ ⎛ ⎞= + − ≈⎢ ⎥⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠⎢ ⎥⎣ ⎦
39. ( )43 31
1
ln 1 1 1ln lim 03 9 9 9
b
b
xx x dxx x
∞ −
→∞
⎡ ⎤= − − = + =⎢ ⎥⎣ ⎦∫
By the Integral Test, the series converges.
40. 3 44 31 1
1 1
n n nn
∞ ∞
= =
=∑ ∑
Divergent p-series, 3 14
p = <
41. 2 21 1 1
1 1 1 1
n n nn n n n
∞ ∞ ∞
= = =
⎛ ⎞− = −⎜ ⎟⎝ ⎠
∑ ∑ ∑
Because the second series is a divergent p-series while the first series is a convergent p-series, the difference diverges.
42. 2 21 1 1
1 1 1 12 2n n
n n nn n
∞ ∞ ∞
= = =
⎛ ⎞− = −⎜ ⎟⎝ ⎠
∑ ∑ ∑
Because the first series is a convergent p-series while the second series is a convergent geometric series, the difference converges.
43.
( )1
65 1
6 5 1 6lim1 5
n
n
n
nn
∞
=
→∞
−
⎡ − ⎤=⎢ ⎥
⎣ ⎦
∑
By a limit comparison test with the divergent harmonic
series 1
1,n n
∞
=∑ the series diverges.
44. 3
1
3 3 2
3
3
3lim lim 11 3
n
n n
nn n
n n n nn n n
∞
=
→∞ →∞
+
+= =
+
∑
By a limit comparison test with the divergent p-series
1 21
1 ,n n
∞
=∑ the series diverges.
45.
( )
31
3 3 2
3 2 3
12
1 2lim lim 11 2
n
n n
n n
n n nn n n
∞
=
→∞ →∞
+
+= =
+
∑
By a limit comparison test with the convergent p-series
3 21
1 ,n n
∞
=∑ the series converges.
46. ( )( ) ( )
1
12
1 2 1lim lim 11 2
n
n n
nn n
n n n nn n
∞
=
→∞ →∞
++
+ + += =
+
∑
By a limit comparison test with 1
1,n n
∞
=∑ the series
diverges.
47. ( )( )1
1 3 5 2 12 4 6 2n
nn
∞
=
⋅ ⋅ −⋅ ⋅∑
( )( )
1 3 5 2 1 3 5 2 1 1 12 4 6 2 2 4 2 2 2 2n
n nan n n n
⋅ ⋅ − −⎛ ⎞= = ⋅ >⎜ ⎟⋅ ⋅ −⎝ ⎠
Because 1 1
1 1 12 2n nn n
∞ ∞
= =
=∑ ∑ diverges (harmonic series), so
does the original series.
Review Exercises for Chapter 9 381
© 2010 Brooks/Cole, Cengage Learning
48. Because 1
13n
n
∞
=∑ converges,
1
13 5n
n
∞
= −∑ converges by the
Limit Comparison Test.
49. ( )5
1
1 n
n n
∞
=
−∑ converges by the Alternating Series Test.
51lim 0
n n→∞= and
( )1 5 5
1 1 .1
n na ann
+ = < =+
50. ( ) ( )2
1
1 11
n
n
nn
∞
=
− ++∑ converges by the Alternating Series
Test. 21lim 01n
nn→∞
+=
+and if
( ) ( ) ( )( )
2
22 2
2 11 , 01 1
x xxf x f xx x
− + −+ ′= = < ⇒+ +
terms
are decreasing. So, 1 .n na a+ <
51. ( )2
2
13
n
n
nn
∞
=
− −−∑ converges by the Alternating Series Test.
2lim 03n
nn→∞
=−
and if
( ) ( ) ( )( )
2
22 2
3, 0
3 3
nnf x f xn n
− +′= = < ⇒
− −terms are
decreasing. So, 1 .n na a+ <
52. ( )1
11
n
n
nn
∞
=
−+∑
11
2 1
lim 01
n n
n
n na an n
nn
+
→∞
+= ≤ =
+ +
=+
By the Alternating Series Test, the series converges.
53. Diverges by the nth-Term Test.
lim 1 03n
nn→∞
= ≠−
54. Converges by the Alternating Series Test.
( )1
3 ln 1 3 ln 3 ln, lim 01n n
n
n n na an n n+
→∞
+= < = =
+
55. 3 1 3 1 3lim lim 12 5 2 5 2
nn
n n
n nn n→∞ →∞
− −⎛ ⎞ ⎛ ⎞= = >⎜ ⎟ ⎜ ⎟+ +⎝ ⎠ ⎝ ⎠
Diverges by Root Test.
56. 4 4 4lim lim 17 1 7 1 7
nn
n n
n nn n→∞ →∞
⎛ ⎞ ⎛ ⎞= = <⎜ ⎟ ⎜ ⎟− −⎝ ⎠ ⎝ ⎠
Converges by Root Test.
57. 21 nn
n
e
∞
=∑
( )
( )
( )( )
21
21
2
2 2 1
2 1
1lim lim
1lim
1 1lim
0 1 0 1
nn
n n nn
n
n nn
nn
a n ea ne
e n
e n
ne n
+
→∞ →∞ +
+ +→∞
+→∞
+= ⋅
+=
+⎛ ⎞⎛ ⎞= ⎜ ⎟⎜ ⎟⎝ ⎠⎝ ⎠
= = <
By the Ratio Test, the series converges.
58. 1
!n
n
ne
∞
=∑
( )11
1 !lim lim
!
1lim
nn
nn nn
n
na ea e n
ne
++→∞ →∞
→∞
+= ⋅
+= = ∞
By the Ratio Test, the series diverges.
59. 31
2n
n n
∞
=∑
( ) ( )
1 3 31
3 32 2lim lim lim 2
21 1
nn
nn n nn
a n na n n
++
→∞ →∞ →∞= ⋅ = =
+ +
By the Ratio Test, the series diverges.
60. ( )( )1
1 3 5 2 12 5 8 3 1n
nn
∞
=
⋅ ⋅ −⋅ ⋅ −∑
( )( )( )( )
( )( )
1 1 3 2 1 2 1 2 5 3 1 2 1 2lim lim lim2 5 3 1 3 2 1 3 2 1 3 2 3
n
n n nn
n n na na n n n n+
→∞ →∞ →∞
⋅ − + ⋅ − += ⋅ = =
⋅ − + ⋅ − +
By the Ratio Test, the series converges.
382 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
61. (a) Ratio Test: ( )( )( )
11 1 3 5 1 3 3lim lim lim 1,
5 53 5
nn
nn n nn
na na nn
++
→∞ →∞ →∞
+ +⎛ ⎞⎛ ⎞= = = <⎜ ⎟⎜ ⎟⎝ ⎠⎝ ⎠
Converges
(b)
(c)
(d) The sum is approximately 3.75.
62. (a) The series converges by the Alternating Series Test. (b)
(c)
(d) The sum is approximately 0.0714.
63. (a) 21 1 1
NN
dxx x N
∞∞ ⎡ ⎤= − =⎢ ⎥⎣ ⎦∫
(b) 5 4 41 1 1
4 4NN
dxx x N
∞∞ ⎡ ⎤= − =⎢ ⎥⎣ ⎦∫
The series in part (b) converges more rapidly. The integral values represent the remainders of the partial sums.
64. No. Let 23937.5,na
n= then 75 0.7.a = The series 2
1
3937.5
n n
∞
=∑ is a convergent p-series.
n 5 10 15 20 25
nS 2.8752 3.6366 3.7377 3.7488 3.7499
n 5 10 15 20 25
nS 0.0871 0.0669 0.0734 0.0702 0.0721
N 5 10 20 30 40
21
1N
n n=∑ 1.4636 1.5498 1.5962 1.6122 1.6202
21
Ndx
x∞
∫ 0.2000 0.1000 0.0500 0.0333 0.0250
N 5 10 20 30 40
51
1N
n n=∑ 1.0367 1.0369 1.0369 1.0369 1.0369
51
Ndx
x∞
∫ 0.0004 0.0000 0.0000 0.0000 0.0000
−1
0 12
4
0 120
0.3
Review Exercises for Chapter 9 383
© 2010 Brooks/Cole, Cengage Learning
65. ( ) ( )( ) ( )( ) ( )( ) ( )
3
3
3
3
0 13 0 3
9 0 927 0 27
x
x
x
x
f x e ff x e ff x e ff x e f
−
−
−
−
= =
′ ′= − = −
′′ ′′= =
′′′ ′′′= − = −
( )2 3
3
2 3
9 271 32! 3!
9 91 32 2
x xP x x
x x x
= − + −
= − + −
66. ( )
( )
( )
( )
2
2
2 2 4
tan 14
sec 24
2 sec tan 44
4 sec tan 2 sec 164
f x x f
f x x f
f x x x f
f x x x x f
π
π
π
π
⎛ ⎞= − = −⎜ ⎟⎝ ⎠
⎛ ⎞′ ′= − =⎜ ⎟⎝ ⎠
⎛ ⎞′′ ′′= − = −⎜ ⎟⎝ ⎠
⎛ ⎞′′′ ′′′= + − =⎜ ⎟⎝ ⎠
( )2 3
381 2 2
4 4 3 4P x x x xπ π π⎛ ⎞ ⎛ ⎞ ⎛ ⎞= − + + − + + +⎜ ⎟ ⎜ ⎟ ⎜ ⎟
⎝ ⎠ ⎝ ⎠ ⎝ ⎠
67. Because ( )99
950.001,
180 9!π
<⋅
use four terms.
( ) ( ) ( )3 5 7
3 5 7
95 95 9595 95sin 95 sin 0.99594180 180 180 3! 180 5! 180 7!
π π ππ π⎛ ⎞° = ≈ − + − ≈⎜ ⎟⎝ ⎠
68. Because ( )60.750.001,
6!< use three terms.
( ) ( ) ( )2 40.75 0.75cos 0.75 1 0.7319
2! 4!≈ − + ≈
69. Because ( )150.750.001,
15< use 14 terms.
( ) ( ) ( ) ( ) ( ) ( ) ( ) ( )2 3 4 5 6 140.75 0.75 0.75 0.75 0.75 0.75ln 1.75 0.75 0.559062
2 3 4 5 6 14≈ − + − + − + − ≈
70. Because ( )50.250.001,
5!< use five terms.
( ) ( ) ( )2 3 40.25 0.25 0.25 0.25
1 0.25 0.7792! 3! 4!
e− ≈ − + − + ≈
384 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
71. ( ) cos , 0f x x c= =
( )( ) ( )( )
( ) ( ) ( ) ( )
11
11
1 !
11 !
nn
n
nn
n
f zR x x
n
xf z R xn
++
++
=+
≤ ⇒ ≤+
(a) ( ) ( )( )
10.50.001
1 !
n
nR xn
+
≤ <+
This inequality is true for 4.n =
(b) ( ) ( )( )
110.001
1 !
n
nR xn
+
≤ <+
This inequality is true for 6.n =
(c) ( ) ( )( )
10.50.0001
1 !
n
nR xn
+
≤ <+
This inequality is true for 5.n =
(d) ( ) ( )12 0.00011 !
n
nR xn
+
≤ <+
This inequality is true for 10.n =
72. ( )
( )
( )
( )
2 4
4
2 4 6
6
2 4 6 8 10
10
cos
12! 4!
12! 4! 6!
12! 4! 6! 8! 10!
f x x
x xP x
x x xP x
x x x x xP x
=
= − +
= − + −
= − + − + −
73. 0 10
n
n
x∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
∑
Geometric series which converges only if 10 1x < or
10 10.x− < <
74. ( )0
2 n
nx
∞
=∑
Geometric series which converges only if 2 1x < or 1 12 2.x− < <
75. ( ) ( )( )2
0
1 2
1
n n
n
x
n
∞
=
− −
+∑
( ) ( )( )
( )( ) ( )
1 1 21
2
1 2 1lim lim
2 1 2
2
n nn
n nn nn
x nuu n x
x
+ ++
→∞ →∞
− − += ⋅
+ − −
= −
1R = Center: 2 Because the series converges when 1x = and when
3,x = the interval of convergence is [ ]1, 3 .
76. ( )1
3 2 nn
n
xn
∞
=
−∑
( )( )
111 3 2
lim lim1 3 2
3 2
nnn
nnn nn
xu nu n x
x
+++
→∞ →∞
−= ⋅
+ −
= −
13
R =
Center: 2
Because the series converges at 53
and diverges at 7,3
the
interval of convergence is 5 7, .3 3⎡ ⎞
⎟⎢⎣ ⎠
77. ( )0
! 2 n
nn x
∞
=
−∑
( ) ( )( )
11 1 ! 2
lim lim! 2
nn
nn nn
n xuu n x
++
→∞ →∞
+ −= = ∞
−
which implies that the series converges only at the center 2.x =
78. ( )0 0
2 22 2
n n
nn n
x x∞ ∞
= =
− −⎛ ⎞= ⎜ ⎟⎝ ⎠
∑ ∑
Geometric series which converges only if
2 1 or 0 4.2
x x−< < <
−10 10
−10
f
P4
P10P6
10
Review Exercises for Chapter 9 385
© 2010 Brooks/Cole, Cengage Learning
79. ( )( )
( ) ( )( )
( ) ( )( )
( ) ( )( )( )
( ) ( )( )( )
( ) ( )( )
( )
2
20
12 1 2 1
2 211 0
1 2
210
1 12 2 2 22 2
2 21 10 0
14 !
1 2 1 2 2
4 ! 4 1 !
1 2 2 2 1
4 1 !
1 2 2 2 1 1 2 21
4 1 ! 4 1 !
nn
nn
n nn n
n nn n
n n
nn
n nn nn
n nn n
xyn
n x n xy
n n
n n xy
n
n n x n x xx y xy x yn n
∞
=
+− +∞ ∞
+= =
+∞
+=
+ ++ +∞ ∞
+ += =
= −
− − +′ = =
⎡ + ⎤⎣ ⎦
− + +′′ =
⎡ + ⎤⎣ ⎦
− + + − +′′ ′+ + = + + −
⎡ + ⎤ ⎡ + ⎤⎣ ⎦ ⎣ ⎦
∑
∑ ∑
∑
∑ ∑ ( )
( ) ( )( )( )
( ) ( )( )
( )( )
( ) ( )( )( )
( )( )
( ) ( )( )
( )( )
2 2
20
11 2 2
2 2 21 10
12 2
2 210
1 22 2
2 210
4 !
2 2 2 1 1 2 2 11
4 !4 1 ! 4 1 !
1 2 2 2 1 1 114 !4 1 !
1 4 1 114 !4 1 !
n
nn
n nn n
nn nn
nn n
nnn
nn n
nnn
n
n n nx
nn n
n nx
nn
nx
nn
+∞
=
+∞+ +
+ +=
+∞+
+=
+∞+
+=
⎡ ⎤+ + − + −⎢ ⎥= − + +⎢ ⎥⎡ + ⎤ ⎡ + ⎤⎣ ⎦ ⎣ ⎦⎣ ⎦
⎡ ⎤− + + +⎢ ⎥= + −⎢ ⎥⎡ + ⎤⎣ ⎦⎣ ⎦
⎡ ⎤− +⎢ ⎥= + −⎢ ⎥⎡ + ⎤⎣ ⎦⎣ ⎦
∑
∑
∑
∑
( )( )
( )( )
12 2
2 20
1 1 11 04 ! 4 !
nn n
n nn
xn n
+∞+
=
⎡ ⎤−⎢ ⎥= + − =⎢ ⎥⎣ ⎦
∑
80. ( )
( ) ( ) ( ) ( )( )
( ) ( )( )( )
( ) ( )( )( )
( ) ( )( )
( )
( )
2
0
12 1 2 1
11 0
1 2
10
1 12 2 2 2 1 2
1 10 0 0
1
32 !
3 2 3 2 22 ! 2 1 !
3 2 2 2 12 1 !
3 2 2 2 1 1 3 2 2 1 33 3
2 1 ! 2 1 ! 2 !
1 3
n n
nn
n nn n
n nn n
n n
nn
n n nn n n n n
n n nn n n
n
xy
n
n x n xy
n n
n n xy
n
n n x n x xy xy y
n n n
∞
=
+− +∞ ∞
+= =
+∞
+=
+ + + + +∞ ∞ ∞
+ += = =
+
−=
− − +′ = =
+
− + +′′ =
+
− + + − + −′′ ′+ + = + +
+ +
−=
∑
∑ ∑
∑
∑ ∑ ∑
( ) ( ) ( )
( ) ( ) ( )
( ) ( ) ( )
( ) ( ) ( )
11 2 2 2 2 1 2
0 0 0
11 2 2 2 2
0 0
11 2 2 2 2
0 0
1 1 2 1 2
1
2 2 1 3 1 32 ! 2 ! 2 !
1 3 1 32 1 1
2 ! 2 !
1 3 1 32
2 ! 2 !
1 3 1 32
2 !
n nn n n n n n
n n nn n n
n nn n n n
n nn n
n nn n n n
n nn n
n nn n n n
nn
n x x xn n n
x xn
n n
x xn
n n
x xn
n
++ + + +∞ ∞ ∞
= = =
++ + +∞ ∞
= =
++ + +∞ ∞
= =
+ + +∞
=
+ − −+ +
− −= ⎡− + + ⎤ +⎣ ⎦
− −= − +
− −= +
∑ ∑ ∑
∑ ∑
∑ ∑
∑ ( )
( ) [ ]
11
1 2
1
22 1 ! 2
1 32 2 0
2 !
nn
n n n
nn
nn n
xn n
n
∞
−=
+∞
=
⋅−
−= − + =
∑
∑
81. ( )
10 0
2 2 33 1 3 1
2 23 3 3
n n
nn n
ax x r
x x∞ ∞
+= =
= =− − −
⎛ ⎞ =⎜ ⎟⎝ ⎠
∑ ∑
386 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
82. ( ) ( )
( )1
0 0
3 3 2 3 22 1 2 1 2 1
1 332 2 2
nn n
nn n
ax x x r
xx∞ ∞
+= =
= = =+ + − − −
−⎛ ⎞− =⎜ ⎟⎝ ⎠
∑ ∑
83. ( ) 2 .3
g xx
=−
Power series 0
23 3
n
n
x∞
=
⎛ ⎞⎜ ⎟⎝ ⎠
∑
Derivative: ( )1 1
1 1 0
2 1 2 2 13 3 3 9 3 9 3
n n n
n n n
x x xn n n− −∞ ∞ ∞
= = =
⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞= = +⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠
∑ ∑ ∑
84. Integral: ( )( )
1
10
1 31 2
n n
nn
xn
+∞
+=
−+∑
85. ( )
2 3
0
2 4 8 2 1 3 3 31 , , 3 9 27 3 1 2 3 3 2 2 2
n
n
xx x xx x
∞
=
⎛ ⎞ ⎛ ⎞+ + + + = = = −⎜ ⎟ ⎜ ⎟− −⎝ ⎠ ⎝ ⎠∑
86. ( ) ( ) ( ) ( )( )
( ) ( )
2 3
0
31 1 88 2 3 3 3 82 8 4 1 3 4
32 32 , 1, 74 3 1
n
n
xx x x
x
x x
∞
=
⎡− − ⎤− − + − − − + = =⎢ ⎥ − ⎡− − ⎤⎣ ⎦ ⎣ ⎦
= = −+ − +
∑
87. ( )( )( )( )
( )( ) ( ) ( )
( ) ( ) ( )0
1 22
0
sin
cos
sin
cos ,
3 4sin
!
1 3 42 2 3 2 3 22 2 4 2 2! 4 2 !
nn
n
nn n
n
f x x
f x x
f x x
f x x
f x xx
n
xx x
n
π
ππ π
∞
=
+∞
=
=
′ =
′′ = −
′′′ = −
⎡ − ⎤⎣ ⎦=
− ⎡ − ⎤⎛ ⎞ ⎛ ⎞ ⎣ ⎦= − − − − + =⎜ ⎟ ⎜ ⎟⋅⎝ ⎠ ⎝ ⎠
∑
∑
88. ( )( )( )( )
( ) ( ) ( )
( ) ( ) ( )( )
2 3 4
0
11 2
1
cos
sin
cos
sin
4 4 2 2 2 2 2cos! 2 2 4 2 2! 4 2 3! 4 2 4! 4
1 42 12 4 1 !
nn
n
nn n
n
f x x
f x x
f x x
f x x
f xx x x x x
n
xx
n
π π π π π π
ππ
∞
=
++⎡ ⎤⎣ ⎦∞
=
=
′ = −
′′ = −
′′′ =
− ⎡ + ⎤ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞⎣ ⎦= = + + − + − + + + +⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟⋅ ⋅ ⋅⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠
⎡ ⎤− ⎡ + ⎤⎛ ⎞ ⎣ ⎦⎢ ⎥= + + +⎜ ⎟⎢ ⎥+⎝ ⎠⎣ ⎦
∑
∑
89. ( )( ) ( )ln 3 ln 33x xx e e= = and because
0,
!
nx
n
xen
∞
=
= ∑ you have
( ) [ ] [ ] [ ]2 3 42 3 4
0
ln 3 ln 3 ln 3ln 33 1 ln 3 .
! 2! 3! 4!
nx
n
x x xxx
n
∞
=
= = + + + + +∑
Review Exercises for Chapter 9 387
© 2010 Brooks/Cole, Cengage Learning
90. ( ) ( )( ) ( ) ( )( ) ( ) ( ) ( )( ) ( ) ( ) ( ) ( )
( ) ( ) ( ) ( ) ( ) ( ) ( )
( )( ) ( ) ( )
3 2
3 3
4 5 3 2 4
2 4
0
csc
csc cot
csc csc cot
5 csc cot csc cot
5 csc 15 csc cot csc cot
2 2 1 5csc 1! 2! 2 4! 2
nn
n
f x x
f x x x
f x x x x
f x x x x x
f x x x x x x
f xx x x
nπ π π π∞
=
=
′ = −
′′ = +
′′′ = − −
= + +
⎡ − ⎤ ⎛ ⎞ ⎛ ⎞⎣ ⎦= = + − + − +⎜ ⎟ ⎜ ⎟⎝ ⎠ ⎝ ⎠
∑
91. ( )
( )
( )
( )( ) ( )( ) ( ) ( )
2
3
4
0 0 0
1
1
2
6 ,
1 1 ! 11 1 , 2 0! !
n nnn
n n n
f xx
f xx
f xx
f xx
f x n xx x
x n n
∞ ∞ ∞
= = =
=
′ = −
′′ =
′′′ = −
− + − += = = − + − < <∑ ∑ ∑
92. ( )
( )
( )
( )
( ) ( )
( ) ( )( ) ( ) ( ) ( ) ( )
( ) ( )
1 2
1 2
3 2
5 2
4 7 2
2 3 4
2 5 8 110
1
2
12
1 12 2
1 1 32 2 2
1 1 3 5 ,2 2 2 2
4 4 4 4 1 3 4 1 3 5 42
! 2 2 2! 2 3! 2 4!
4 1 1 3 52
2
nn
nn
f x x
f x x
f x x
f x x
f x x
f x x x x xx
n
x
−
−
−
−
∞
=
+
=
′ =
⎛ ⎞⎛ ⎞′′ = −⎜ ⎟⎜ ⎟⎝ ⎠⎝ ⎠
⎛ ⎞⎛ ⎞⎛ ⎞′′′ = ⎜ ⎟⎜ ⎟⎜ ⎟⎝ ⎠⎝ ⎠⎝ ⎠⎛ ⎞⎛ ⎞⎛ ⎞⎛ ⎞= −⎜ ⎟⎜ ⎟⎜ ⎟⎜ ⎟⎝ ⎠⎝ ⎠⎝ ⎠⎝ ⎠
− − − ⋅ − ⋅ ⋅ −= = + − + − +
− − ⋅ ⋅= + +
∑
( )( )3 1
2
2 3 42 !
n
nn
n xn
∞
−=
− −∑
93. ( ) ( ) ( )( )
( ) ( )( ) ( )( )
( ) ( )
2 3
2 31 5
12 32 3
2 32
1 1 21 1
2! 3!1 5 4 5 1 5 4 5 9 5
1 15 2! 3!
1 4 9 14 5 61 1 4 1 4 9 2 61 1 15 5 2! 5 3! 5 5 ! 5 25 125
k
n n
nn
k k x k k k xx kx
x xxx
n xx x x xx x xn
+∞
=
− − −+ = + + + +
− − −+ = + + + +
− ⋅ ⋅ −⋅ ⋅ ⋅= + − + − = + + = + − + −∑
94. ( ) ( )( ) ( )( ) ( )( ) ( )
( ) ( ) ( )( ) ( ) ( )
( )( ) ( ) ( ) ( )( )
3
4
5
6
74
85
2 3 4 5
30 0
1
3 1
12 1
60 1
360 1
2520 1
1 2 ! 1 2 11 12 60 360 25201 32! 3! 4! 5! 2 ! 21
n nn n
n n
h x x
h x x
h x x
h x x
h x x
h x x
n x n n xx x x xxnx
−
−
−
−
−
−
∞ ∞
= =
= +
′ = − +
′′ = +
′′′ = − +
= +
= − +
− + − + += − + − + − + = =
+∑ ∑
388 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
95. ( ) ( )
( ) ( ) ( )
1
1
1 1
1 1
1ln 1 , 0 2
5 4 15 1ln 1 1 0.22314 4
nn
nn
n nn
n n
xx x
n
n n
∞+
=
∞ ∞+ +
= =
−= − < ≤
⎛ − ⎞⎛ ⎞ = − = − ≈⎜ ⎟⎜ ⎟⎝ ⎠ ⎝ ⎠
∑
∑ ∑
96. ( ) ( )
( ) ( )
( )
1
1
1
1
1
1
1ln 1 , 0 2
6 5 16ln 15
11 0.18235
nn
nn
n
n
nn
n
xx x
n
n
n
∞+
=
∞+
=
∞+
=
−= − < ≤
⎛ − ⎞⎛ ⎞ = − ⎜ ⎟⎜ ⎟⎝ ⎠ ⎝ ⎠
= − ≈
∑
∑
∑
97.
( )0
1 2
0 0
,!
1 2 1 1.6487! 2 !
nx
nn
nn n
xe xn
en n
∞
=
∞ ∞
= =
= −∞ < < ∞
= = ≈
∑
∑ ∑
98.
( )0
2 3
0 0
,!
2 3 2 1.9477! 3 !
nx
n
n n
nn n
xe xn
en n
∞
=
∞ ∞
= =
= −∞ < < ∞
= = ≈
∑
∑ ∑
99. ( ) ( )
( ) ( )
2
0
2
20
cos 1 ,2 !
2 2cos 1 0.78593 3 2 !
nn
n
nn
nn
xx xn
n
∞
=
∞
=
= − −∞ < < ∞
⎛ ⎞ = − ≈⎜ ⎟⎝ ⎠
∑
∑
100. ( ) ( )
( ) ( )
2 1
0
2 10
sin 1 ,2 1 !
1 1sin 1 0.32723 3 2 1 !
nn
n
nn
n
xx xn
n
+∞
=
∞
+=
= − −∞ < < ∞+
⎛ ⎞ = − ≈⎜ ⎟ +⎝ ⎠
∑
∑
101. The series in Exercise 45 converges very slowly because the terms approach 0 at a slow rate.
102. ( )
( ) ( )( ) ( )( )( ) ( ) ( )
1 233
33 6 9 3
2
1 11 ,21
1 2 3 2 1 2 3 2 5 2 1 1 3 2 111 12 2! 3! 2 2 !
nn
nn
x kx
nxx x x xn
−
∞
=
= + = −+
− − − − − − ⋅ −= − + + + = − + ∑
103. (a) ( ) ( )( ) ( )( ) ( )( ) ( )
2
2
2
2
0 12 0 24 0 48 0 8
x
x
x
x
f x e ff x e ff x e ff x e f
= =
′ ′= =
′′ ′′= =
′′′ ′′′= =
( )2 3
2 34 8 41 2 1 2 22! 3! 3x xP x x x x x= + + + = + + +
(b) ( )
( )
2
0 0
2 3
2,
! !41 2 23
nnx x
n n
xxe en n
P x x x x
∞ ∞
= =
= =
= + + +
∑ ∑
(c)
( )
2 2
2 3
1 12! 2!
41 2 23
x x x xe e x x
P x x x x
⎛ ⎞⎛ ⎞⋅ = + + + + + +⎜ ⎟⎜ ⎟
⎝ ⎠⎝ ⎠
= + + +
104. (a) ( ) ( )( ) ( )( ) ( )( ) ( )
( ) ( ) ( ) ( )( ) ( ) ( ) ( )( ) ( ) ( ) ( )( ) ( ) ( ) ( )
4 4
5 5
6 6
7 7
2 3 4 5 6 73
sin 2 0 02 cos 2 0 2
4 sin 2 0 08 cos2 0 8
16 sin 2 0 0
32 cos 2 0 32
64 sin 2 0 0
128 cos 2 0 1280 0 32 0 128 4 4sin 2 0 2 22! 3! 4! 5! 6! 7! 3 15
f x x ff x x ff x x ff x x f
f x x f
f x x f
f x x f
f x x fx x x x x xx x x x
= =
′ ′= =
′′ ′′= − =
′′′ ′′′= − = −
= =
= =
= − =
= − = −
8= + + − + + + − + = − + 5 78
315x x− +
Review Exercises for Chapter 9 389
© 2010 Brooks/Cole, Cengage Learning
(b) ( )( )
( ) ( )( )
( ) ( ) ( )
2 1
0
2 1 3 5 7
0
3 5 73 5 7
1sin
2 1 !
1 2 2 2 2sin 2 2
2 1 ! 3! 5! 7!
8 32 128 4 4 82 26 120 5040 3 15 315
n n
n
n n
n
xx
n
x x x xx x
n
x x xx x x x x
+∞
=
+∞
=
−=
+
−= = − + − +
+
= − + − + = − + − +
∑
∑
(c) 3 5 7 2 4 6
3 3 5 5 5 7 7 7 7
3 5 73 5 7
sin 2 2 sin cos
2 16 120 5040 2 24 720
22 6 24 12 120 720 144 240 5040
2 2 4 4 4 82 23 15 315 3 15 315
x x x
x x x x x xx
x x x x x x x x xx
x x xx x x x x
=
⎛ ⎞⎛ ⎞= − + − + − + − +⎜ ⎟⎜ ⎟
⎝ ⎠⎝ ⎠
⎡ ⎤⎛ ⎞ ⎛ ⎞ ⎛ ⎞= + − − + + + + − − − − +⎢ ⎥⎜ ⎟ ⎜ ⎟ ⎜ ⎟
⎢ ⎥⎝ ⎠ ⎝ ⎠ ⎝ ⎠⎣ ⎦
⎛ ⎞= − + − + = − + − +⎜ ⎟
⎝ ⎠
105. ( )( )
( )( )
( )( )( )
( )( )( )
2 1
0
2
0
2 1
00 0
2 1
0
1sin
2 1 !
1sin2 1 !
1sin2 1 2 1 !
12 1 2 1 !
n n
n
n n
n
xn nx
n
n n
n
tt
n
ttt n
tt dtt n n
xn n
+∞
=
∞
=
+∞
=
+∞
=
−=
+
−=
+
⎡ ⎤−⎢ ⎥=
+ +⎢ ⎥⎣ ⎦
−=
+ +
∑
∑
∑∫
∑
106. ( )( )
( )( )
( )( ) ( )
( )( ) ( )
2
0
20
1
200 0
1
20
1cos
2 !
1cos
2 2 2 !
1cos
2 2 2 ! 1
12 2 ! 1
n n
n
n n
nn
xn nx
nn
n n
nn
tt
n
ttn
tt dtn n
xn n
∞
=
∞
=
+∞
=
+∞
=
−=
−=
⎡ ⎤−⎢ ⎥=
+⎢ ⎥⎣ ⎦
−=
+
∑
∑
∑∫
∑
107. ( )
( ) ( )
( ) ( )
( ) ( )( )
( )( )
0
1
0
0
1 1
2 200 00
1 11
11ln 11 1
ln 1 11
ln 1 1 1
1 1
n n
n
n n
n
n n
n
xn nn nx
n n
tt
tt dt
t n
t tt n
t t xdt
t n n
∞
=
+∞
=
∞
=
+ +∞ ∞
= =
= −+
−+ = =
+ +
+ −=
+
⎡ ⎤+ − −⎢ ⎥= =⎢ ⎥+ +⎣ ⎦
∑
∑∫
∑
∑ ∑∫
108. 0
1
1
1
01 10
!
1!
1!
1! !
nt
n
nt
n
t n
n
xt n nx
n n
ten
ten
e tt n
e t xdtt n n n n
∞
=
∞
=
−∞
=
∞ ∞
= =
=
− =
−=
⎡ ⎤−= =⎢ ⎥⋅ ⋅⎣ ⎦
∑
∑
∑
∑ ∑∫
109. 3 5 7 9
5 2 9 2 13 2 17 2
0
arctan3 5 7 9
arctan3 5 7 9
arctanlim 0x
x x x xx x
x x x x xxx
xx+→
= − + − + −
= − + − + −
=
By L'Hôpital's Rule,
2
20 0 0
1arctan 21lim lim lim 0.
1 12
x x x
x xxxx
x+ + +→ → →
⎛ ⎞⎜ ⎟+⎝ ⎠= = =
+⎛ ⎞⎜ ⎟⎝ ⎠
110. 3 5 7
2 4 6
0
1 3 1 3 5arcsin2 3 2 4 5 2 4 6 7
arcsin 1 3 1 3 512 3 2 4 5 2 4 6 7
arcsinlim 1x
x x xx x
x x x xx
xx→
⋅ ⋅ ⋅= + + + +
⋅ ⋅ ⋅ ⋅ ⋅ ⋅⋅ ⋅ ⋅
= + + + +⋅ ⋅ ⋅ ⋅ ⋅ ⋅
=
By L'Hôpital's Rule,
2
0 0
1arcsin 1lim lim 1.
1x x
x xx→ →
⎛ ⎞⎜ ⎟
−⎝ ⎠= =
390 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
Problem Solving for Chapter 9
1. (a) ( )0
1 1 1 1 2 1 31 2 4 13 9 27 3 3 1 2 3
n
n
∞
=
⎛ ⎞ ⎛ ⎞ ⎛ ⎞ ⎛ ⎞+ + + = = =⎜ ⎟ ⎜ ⎟ ⎜ ⎟ ⎜ ⎟ −⎝ ⎠ ⎝ ⎠ ⎝ ⎠ ⎝ ⎠∑
(b) 1 20, , , 1, etc.3 3
(c) 0
1 2lim 1 1 1 03 3
n
nn n
C∞
→∞ =
⎛ ⎞= − = − =⎜ ⎟⎝ ⎠
∑
2. (a) Let 0ε > be given. 2lim nn
a L→∞
= means there exists 1M such that 2na L ε− < for 1.n M> 2 1lim nn
a L+→∞
= means
there exists 2M such that 2 1na L ε+ − < for 2.n M> Let { }1 2max 2 , 2 1 .M M M= + Then for ,n M> and 2n m=
even, you have 1 1 22 2 .mm M M m M a L ε> > ⇒ > ⇒ − < And for 1, 2mn M n +> = odd, you have
1 2 2 2 12 2 1 .m nM M m M a L ε+ +> > + ⇒ > ⇒ − < So, lim .nn
a L→∞
=
(b)
( )
1 1
21
32
11, 1 .1
1 1 31 1 1.51 1 1 2
1 1 71 1 1.41 1 3 2 5
nn
a aa
aa
aa
+= = ++
= + = + = =+ +
= + = + = =+ +
4
5
6
7
8
17 1.4161241 1.41402999 1.4142970239 1.414201169577 1.414216408
a
a
a
a
a
= =
= ≈
= ≈
= ≈
= ≈
Using mathematical induction, you can show that the odd terms are increasing and the even terms are decreasing. Both sequences are bounded in [ ]1, 2 . So, both sequences converge.
Let 2lim .nn
a L→∞
= Then 2 2lim ,nn
a L+→∞
= and
21
1 1 1 1 1 4 31 1 1 1 11 3 2 3 21 2 3 21 1 1
1 1 1
n nn
n n nn n
n n n
a aaa a aa a
a a a
++
+ += + = + = + = + = + =
+ + +⎡ ⎤ ⎡ ⎤ ⎛ ⎞+ ++ + + ⎜ ⎟⎢ ⎥ ⎢ ⎥+ + +⎣ ⎦ ⎣ ⎦ ⎝ ⎠
22 2
2
4 33 2
nn
n
aaa+
+⇒ =
+
So, 24 3 2 4 2.3 2
LL L LL
+= ⇒ = ⇒ =
+Similarly, 2 1lim 2.n
na +
→∞= So by part (a), lim 2n
na L
→∞= =
3. Let ( )2 2 2 2
1
1 1 1 1 .1 3 52 1n
Sn
∞
=
= = + + +−
∑
Then 2
2 2 2 2
2 2
2
2 2 2 2
1 1 1 16 1 2 3 4
1 12 41 1 1 11 .2 2 3 2 6
S
S S
π
π
= + + + +
= + + +
⎛ ⎞⎡ ⎤= + + + + = + ⎜ ⎟⎢ ⎥⎣ ⎦ ⎝ ⎠
So, 2 2 2 21 3 .
6 4 6 6 4 8S π π π π⎛ ⎞= − = =⎜ ⎟
⎝ ⎠
Problem Solving for Chapter 9 391
© 2010 Brooks/Cole, Cengage Learning
4. If there are n rows, then ( )1 .2n
n na
+=
For one circle, 1 11 3 3 11 and .3 2 6 2 3
a r⎛ ⎞
= = = =⎜ ⎟⎜ ⎟⎝ ⎠
For three circles, 2 2 23 and 1 2 3 2a r r= = +
21 .
2 2 3r =
+
For six circles, 3 3 36 and 1 2 3 4a r r= = +
31 .
2 3 4r =
+
Continuing this pattern, ( )
1 .2 3 2 1nr n
=+ −
( ) ( )( )
( )( )
2
2
2
11Total Area22 3 2 1
12 2 3 2 1
1lim2 4 8
n n
n
nn
n nr a
n
n nA
n
A
π π
π
π π→∞
⎛ ⎞ += = ⎜ ⎟⎜ ⎟+ −⎝ ⎠
+=
⎡ ⎤+ −⎣ ⎦
= ⋅ =
5. (a) Position the three blocks as indicated in the figure. The bottom block extends 1 6 over the edge of the
table, the middle block extends 1 4 over the edge of the bottom block, and the top block extends 1 2 over the edge of the middle block.
The centers of gravity are located at
bottom block: 1 1 16 2 3− = −
middle block: 1 1 1 16 4 2 12+ − = −
top block: 1 1 1 1 5 .6 4 2 2 12+ + − =
The center of gravity of the top 2 blocks is
11 5 2 ,12 12 6
⎛ ⎞− + =⎜ ⎟⎝ ⎠
which lies over the bottom
block. The center of gravity of the 3 blocks is 1 1 5 3 03 12 12
⎛ ⎞− − + =⎜ ⎟⎝ ⎠
which lies over the table.
So, the far edge of the top block lies 1 1 1 116 4 2 12+ + = beyond the edge of the table.
(b) Yes. If there are n blocks, then the edge of the top block
lies 1
12
n
i i=∑ from the edge of the table. Using 4 blocks,
4
1
1 1 1 1 1 252 2 4 6 8 24i i=
= + + + =∑
which shows that the top block extends beyond the table.
(c) The blocks can extend any distance beyond the table because the series diverges:
1 1
1 1 1 .2 2i ii i
∞ ∞
= =
= = ∞∑ ∑
6. (a)
( ) ( ) ( )( )( ) ( )
2 3 4 5
3 6 4 7 2 5 8
3 6 2 23
1 2 3 2 3
1 2 3
11 1 2 3 1 2 31
nna x x x x x x
x x x x x x x x
x x x x x xx
= + + + + + +
= + + + + + + + + + + +
= + + + + + = + +−
∑
1R = because each series in the second line has 1.R =
(b) ( ) ( )( ) ( ) ( )
( )( ) ( )
1 10 1 1 0 1
10 1 1
1 10 1 1 0 1 1
1 1 1
111
1
n p p pn p
p p p pp
p p pp p p
a x a a x a x a x a x
a x a x x a x x
a a x a x x a a x a xx
R
− +−
−−
− −− −
= + + + + + + +
= + + + + + + + + +
= + + + + + = + + +−
=
∑
(Assume all 0.)na >
1 32
12
r1
1 3 r2
r2r22
1 3 r3
r3r32
16
512
1112
14
16
12
0
392 Chapter 9 Infinite Series
© 2010 Brooks/Cole, Cengage Learning
7. ( ) ( ) ( )1
1
12 3 4 2
n
n
a b a bb a ban
+∞
=
− + + −− + − + = ∑
If ( ) ( ) ( )1 1
1 1
1 2 1,
2
n n
n n
aa b a
n n
+ +∞ ∞
= =
− −= =∑ ∑ converges conditionally.
If ( ) ( )1
1 1
1,
2 2
n
n n
a b a ba bn n
+∞ ∞
= =
− + −≠ +∑ ∑ diverges.
No values of a and b give absolute convergence. a b= implies conditional convergence.
8. (a)
( )
2
01
02
0
12! !
!
2 !
nx
nn
x
nn
x x x
n
x xe xn
xxen
xxe dx xe e Cn n
∞
=∞ +
=∞ +
=
= + + + =
=
= − + =+
∑
∑
∑∫
Letting 0,x = you have 1.C = Letting 1,x =
( ) ( )0 1
1 1 11 .2 ! 2 2 !n n
e en n n n
∞ ∞
= =
− + = = ++ +∑ ∑
So, ( )1
1 1.2 ! 2n n n
∞
=
=+∑
(b) Differentiating, ( )0
1.
!
nx x
n
n xxe e
n
∞
=
++ = ∑
Letting 1,x = 0
12 5.4366.!n
nen
∞
=
+= ≈∑
9.
( ) ( ) ( ) ( )
2
4 122 2
1212
12!
12! 6!
0 1 12!0 665,28012! 6! 6!
x
x
xe x
x xe x
ff
= + + +
= + + + + +
= ⇒ = =
10. Let 2
1 20
sin sin, ,x xa dx a dxx x
π π
π= = −∫ ∫
3
3 2
sin , etc.xa dxx
π
π= ∫ Then,
1 2 3 40
sin .x dx a a a ax
∞= − + − +∫
Because lim 0nn
a→∞
= and 1 ,n na a+ < this series converges.
11. (a) If [ ] 22
11, ln lnln
p dx xx x
∞ ∞= =∫ diverges.
If
( )
( ) ( )1 1
2
ln ln 211, lim1 1ln
p p
p b
bp dx
p px x
− −∞
→∞
⎡ ⎤> = ⎢ − ⎥
− −⎢ ⎥⎣ ⎦∫
converges. If 1,p < diverges.
(b) ( )2
4 4
1 1 12 lnlnn n n nn n
∞ ∞
= =
=∑ ∑ diverges by part (a).
12. (a)
[ ]
1
2
3
4
5
6
3.01.732052.175332.274932.296722.30146
1 13lim See part (b) for proof.2n
n
aaaaaa
a→∞
=
≈
≈
≈
≈
≈
+=
(b) Use mathematical induction to show the sequence is increasing. Clearly,
2 1 1.a a a a a a a= + = > = Now assume 1.n na a −> Then
1
1
1 .
n n
n n
n n
a a a a
a a a a
a a
−
−
+
+ > +
+ > +
>
Use mathematical induction to show that the sequence is bounded above by a. Clearly,
1 .a a a= < Now assume .na a< Then
na a> and 1 1a − > implies
( ) ( )2
2
1
1 1
.
n
n
n
n n
a a a
a a a
a a a
a a a a +
− >
− >
> +
> + =
So, the sequence converges to some number L. To find L, assume 1 :n na a L+ ≈ ≈
2 2 0
1 1 4 .2
L a L L a L L L a
aL
= + ⇒ = + ⇒ − − =
± +=
So, 1 1 4 .2
aL + +=
13. Let
( ) ( )11 1
.
as .
1 1.
nn n
nn n nn n n
b a r
b a r a r Lr n
Lr rr
=
= = ⋅ → → ∞
< =
By the Root Test, nb∑ converges nna r⇒ ∑ converges.
Problem Solving for Chapter 9 393
© 2010 Brooks/Cole, Cengage Learning
14. (a) ( ) 1 1 2 1 3 1 4 1 5 111
1 0
1
3
4
5
1 1 1 1 1 12 2 2 2 221 12
1 918 8
9 1 118 4 811 1 458 32 3245 1 4732 16 32
nnn
S
S
S
S
S
∞
− + − + −+ −=
= + + + + +
= =
= + =
= + =
= + =
= + =
∑
(b) ( )
( ) ( )
( )( )
11
1 11 1 1 1
2 12
2 2
n nnn
n nnn
aa
+ −+
+ ++ + − + −
−= =
This sequence is 1 1, 2, , 2,8 8
… which diverges.
(c) ( ) ( ) ( )
1
1 1 1
1 1 1 1 122 2 2 2 2
n
n n n nn n n+ − − −
⎛ ⎞= = → <⎜ ⎟⎜ ⎟
⋅⎝ ⎠ ⋅
converges because ( ){ }1 1 12 , 2, , 2,2 2
n…− =
and 1 2 1n → and 2 1.n →
15. (a) ( )
( )0
2
1 1 0.010.99 1 0.01
1 0.01 0.01
1.010101
n
n
∞
=
= =−
= + + +
=
∑
(b) ( )
( )0
2
1 1 0.020.98 1 0.02
1 0.02 0.02
1 0.02 0.00041.0204081632
n
n
∞
=
= =−
= + + +
= + + +
=
∑
16. 6
7
8
9
10
130 70 40 240240 130 70 440440 240 130 810810 440 240 14901490 810 440 2740
SSSS
S
= + + =
= + + =
= + + =
= + + =
= + + =
17. (a)
1 21
1 1Height 2 12 3
1 12 -series, 12n
p pn
∞
=
⎡ ⎤= + + +⎢ ⎥⎣ ⎦
⎛ ⎞= = ∞ = <⎜ ⎟⎝ ⎠
∑
(b) 1
1 1 14 1 42 3 n
Sn
π π∞
=
⎡ ⎤= + + + = = ∞⎢ ⎥⎣ ⎦∑
(c) 3 2 3 2
3 21
4 1 113 2 3
4 1 converges.3 n
W
n
π
π∞
=
⎡ ⎤= + + +⎢ ⎥⎣ ⎦
= ∑
18. (a) 1 1
1 1 12 2n nn n
∞ ∞
= =
=∑ ∑ diverges (harmonic)
(b) Let ( ) sin .f x x= By the Mean Value Theorem,
( ) ( ) ( )( )cos ,
f x f y f c x y
c x y x y
′− = −
= − ≤ −
where c is between x and y. So,
( )
1 10 sin sin2 2 1
1 1 12 2 1 2 2 1
n n
n n n n
⎛ ⎞ ⎛ ⎞≤ −⎜ ⎟ ⎜ ⎟+⎝ ⎠ ⎝ ⎠
≤ − =+ +
Because ( )1
12 2 1n n n
∞
= +∑ converges, the Comparison
Theorem tells us that
1
1 1sin sin2 2 1n n n
∞
=
⎡ ⎤⎛ ⎞ ⎛ ⎞−⎜ ⎟ ⎜ ⎟⎢ ⎥+⎝ ⎠ ⎝ ⎠⎣ ⎦∑ converges.