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Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization II

Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

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Page 1: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

Applications of the Derivative

4• Applications of the First Derivative

• Applications of the Second Derivative

• Curve Sketching

• Optimization I

• Optimization II

Page 2: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

Increasing/Decreasing

A function f is increasing on (a, b) if f (x1) < f (x2) whenever x1 < x2.

A function f is decreasing on (a, b) if f (x1) > f (x2) whenever x1 < x2.

Increasing IncreasingDecreasing

Page 3: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

Increasing/Decreasing/Constant

.,on increasing is then

,, intervalan in of each valuefor 0 If

baf

baxxf

.,on decreasing is then

,, intervalan in of each valuefor 0 If

baf

baxxf

.,on constant is then

,, intervalan in of each valuefor 0 If

baf

baxxf

Page 4: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

Sign Diagram to Determine where f (x) is Inc./Dec.

).(cf

)(or 0)( xfxf

,0)( cf

Steps:

1. Find all values of x for which is discontinuous and identify open intervals with these points. These points are called critical points.

2. Test a point c in each interval to check the sign of

a. If

b. If ,0)( cf

f is increasing on that interval.

f is decreasing on that interval.

Page 5: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

Example16)( 23 xxxf

xxxf 123)( 2 0123 2 xx

Determine the intervals where

0)4(3 xx04or 03 xx

4,0x

0 4

+ - +

f is increasing

on

is increasing and where it is decreasing.

,0 4,

f is decreasing

on 0,4

x

Page 6: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

Relative Extrema

)()( cfxf

A function f has a relative maximum at x = c if there exists an open interval (a, b) containing c such that for all x in (a, b).

A function f has a relative minimum at x = c if there exists an open interval (a, b) containing c such that

)()( cfxf

for all x in (a, b).

Relative Maxima

Relative Minima

x

y

Page 7: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

Critical Numbers of f

A critical number of a function f is a number in the domain of f where

exist.not does )(or 0)( xfxf

(horizontal tangent lines, vertical tangent lines and sharp corners)

x

y

Page 8: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

The First Derivative Test

1. Determine the critical numbers of f.

2. Determine the sign of the derivative of f to the left and right of the critical number.

left right

f(c) is a relative maximum

f(c) is a relative minimum

No change No relative extremum

Page 9: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

Example

.16)( 23 xxxf

xxxf 123)( 2

0123 2 xx

Find all the relative extrema of

0)4(3 xx04or 03 xx

4,0x

0 4

+ - +

Relative max.

f (0) = 1 Relative min. f (4) = -31

f x

Page 10: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

Example3 3( ) 3f x x x

2

233

1( )

3

xf x

x x

2 1 0x

Find all the relative extrema of

3 3 0x x

0, 1, 3x

-1 0 1

Relative max. Relative min.

or

33

+ + - - + +

3( 1) 2f 3(1) 2f

( ) undefinedf x( ) 0f x

x

Page 11: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

Concavity

( ) 0f x

Let f be a differentiable function on (a, b).

1. f is concave upward on (a, b) if is increasing on (a, b). That is, for each value of x in (a, b).

2. f is concave downward on (a, b) if is decreasing on (a, b). That is, for each value of x in (a, b).

f ( ) 0f x

f

concave upward concave downward

Page 12: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

Determining the Intervals of Concavity1. Determine the values for which the second

derivative of f is zero or undefined. Identify the open intervals with these points.

2. Determine the sign of in each interval fromf step 1 by testing it at a point, c, on the interval.

( ) 0,f c f is concave up on that interval.

f is concave down on that interval.( ) 0,f c

Page 13: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

Example

( ) 6 12 6( 2)f x x x

Determine where the functionis concave upward and concave downward.

3 2( ) 6 1f x x x

2( ) 3 12f x x x

2

– +f

f concave down

on

f concave up on

, 2 2,

x

Page 14: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

Inflection PointA point on the graph of a continuous function f where the tangent line exists and where the concavity changes is called an inflection point.

To find inflection points, find any point, c, in the domain where ( ) 0 or ( )f x f x

changes sign from the left to the right of c,

is undefined.

f IfThen (c, f (c)) is an inflection point of f.

Page 15: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

The Second Derivative Test

( ) 0f c

1. Compute ( ) and ( ).f x f x

2. Find all critical numbers, c, at which ( ) 0.f c

f has a relative maximum at c.

f has a relative minimum at c.

The test is inconclusive.

( ) 0f c If Then

( ) 0f c

Page 16: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

Example 1

3 2( ) 4 12 8f x x x x

2( ) 12 24 8f x x x

Classify the relative extrema of using the second derivative test.

4 3 2( ) 4 4 5f x x x x

Critical numbers: x = 0, 1, 2

4 2 1x x x

(0) 8 0f (1) 4 0f (2) 8 0f

Relative max.

Relative minima

(1) 4f (0) (2) 5f f

Page 17: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

Example 2

3 2( ) 6 15 0 4N t t t t t

An efficiency study conducted for Elektra Electronics showed that the number of Space Commander walkie-talkies assembled by the average worker t hr after starting work at 8 A.M. is given by

At what time during the morning shift is the average worker performing at peak efficiency?

2

Step 1. Find the first and the second derivatives

of ( ).

( ) 3 12 15 and ( ) 6 12

. . . . . .

N t

N t t t N t t

Page 18: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

Example 2 (cont.)

Step 2.

Peak efficiency means that the rate of growth is maximal, that occurs at the point of inflection.

( ) 0 2.N t t

At 10:00 A.M. during the morning shift, the

average worker is performing at peak efficiency.

Page 19: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

Vertical Asymptote

Horizontal Asymptote

The line x = a is a vertical asymptote of the graph of a function f if either

The line y = b is a horizontal asymptote of the graph of a function f if

lim ( ) or lim ( )x a x a

f x f x

is infinite.

lim ( ) or lim ( )x x

f x b f x b

Page 20: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

Finding Vertical Asymptotes of Rational Functions

If

is a rational function, then x = a is a vertical asymptote if Q(a) = 0 but P(a) ≠ 0.

( )( )

( )

P xf x

Q x

Ex.3 1

( )5

xf x

x

f has a vertical asymptote at x = 5.

Page 21: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

Find the vertical asymptote for the function2

2

4 5( ) .

25

x xf x

x

f has a vertical asymptote at x = 5.

Example

2

2

4 5 ( 1)( 5)( )

25 ( 5)( 5)

1( ) when 5

5

x x x xf x

x x x

xf x x

x

Factoring

Page 22: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

Finding Horizontal Asymptotes of Rational Functions

Ex.2

2

3 2 1( )

5

x xf x

x x

f has a horizontal asymptote at

2

2

3 2 1lim

5x

x x

x x

2

2 13

lim1

5x

x x

x

3.

5y

0

00

2

Divide

by

x

Page 23: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

Curve Sketching Guide1. Determine the domain of f.2. Find the intercepts of f if possible.

4. Find all horizontal and vertical asymptotes.3. Look at end behavior of f.

5. Determine intervals where f is inc./dec.6. Find the relative extrema of f. 7. Determine the concavity of f. 8. Find the inflection points of f. 9. Sketch f, use additional points as needed.

Page 24: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

ExampleSketch: 3 2( ) 6 9 1f x x x x

1. Domain: (−∞, ∞).2. Intercept: (0, 1)

3. lim ( ) and lim ( )x x

f x f x

4. No Asymptotes

5. 2( ) 3 12 9;f x x x f inc. on (−∞, 1) U (3, ∞); dec. on (1, 3).

6. Relative max.: (1, 5); relative min.: (3, 1)

7. ( ) 6 12;f x x f concave down (−∞, 2); up on (2, ∞).

8. Inflection point: (2, 3)

Page 25: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

Sketch: 3 2( ) 6 9 1f x x x x

0,1

x

y

Page 26: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

ExampleSketch:

2 3( )

3

xf x

x

1. Domain: x ≠ −3

2. Intercepts: (0, −1) and (3/2, 0)

3. 2 3 2 3

lim 2 and lim 23 3x x

x x

x x

4. Horizontal: y = 2; Vertical: x = −3

5. 2

6( ) ;

( 3)f x

x

f is increasing on (−∞,−3) U (−3, ∞).

6. No relative extrema.

7. 3

18( ) ;

( 3)f x

x

f is concave down on (−3, ∞) and concave up on (−∞, −3).

8. No inflection points

Page 27: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

Sketch:2 3

( )3

xf x

x

y = 2

x = −3

0, 1

3,0

2

x

y

Page 28: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

Absolute Extrema

)()( cfxf

A function f has an absolute maximum at x = c if for all x in the domain of f.

A function f has a absolute minimum at x = c if

)()( cfxf

for all x in the domain of f.

Absolute Maximum

Absolute Minimum

x

y

Page 29: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

Absolute ExtremaIf a function f is continuous on a closed interval [a, b], then f attains an absolute maximum and minimum on [a, b].

a b a ba b

Attains max. and min.

Attains min. but not max.

No min. and no max.

Interval open Not continuous

x x x

y

y

y

Page 30: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

Finding Absolute Extremaon a Closed Interval

1. Find the critical numbers of f that lie in (a, b).

2. Compute f at each critical number as well as each endpoint.

Largest value = Absolute Maximum

Smallest value = Absolute Minimum

Page 31: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

ExampleFind the absolute extrema of 3 2 1

( ) 3 on , 4 .2

f x x x

2( ) 3 6 3 ( 2)f x x x x x

Critical values at x = 0, 2

(0) 0

(2) 4

1 7

2 8

4 16

f

f

f

f

Absolute Min.

Absolute Max.

Evaluate

Page 32: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

ExampleFind the absolute extrema of

1( ) on 3, .

2f x

x

Notice that the interval is not closed. Look graphically:

Absolute Max.

(3, 1)x

y

Page 33: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

Optimization Problems1. Assign a letter to each variable mentioned in the

problem. Draw and label figure as needed.

2. Find an expression for the quantity to be optimized.

3. Use conditions to write expression as a function in one variable (note any domain restrictions).

4. Optimize the function.

Page 34: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

ExampleAn open box is formed by cutting identical squares from each corner of a 4 in. by 4 in. sheet of cardboard. Find the dimensions of the box that will yield the maximum volume.

xx

x

4 – 2x

4 – 2xx

(4 2 )(4 2 ) ; in 0,2 ......V lwh x x x x

Page 35: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

2( ) 16 32 12V x x x 4(2 3 )(2 )x x

Critical points: 2

2,3

x

3

(2) 0

(0) 0

24.74 in

3

V

V

V

The dimensions are 8/3 in. by 8/3 in. by 2/3 in. giving a maximum box volume of 4.74 in3.

2 316 16 4V x x x x

Page 36: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

ExampleAn metal can with volume 60 in3 is to be constructed in the shape of a right circular cylinder. If the cost of the material for the side is $0.05/in.2 and the cost of the material for the top and bottom is $0.03/in.2 Find the dimensions of the can that will minimize the cost.

2 60V r h 2(0.03)(2) (0.05)2C r rh

top and bottom

sidecost

……

Page 37: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

2 60V r h

22

60(0.03)(2) (0.05)2r r

r

2

60h

rSo

2(0.03)(2) (0.05)2C r rh

2 60.06 r

r

2

60.12C r

r

2

60 gives 0.12C r

r

36

2.52 in.0.12

r

which yields 3.02 in.h

Sub. in for h

……

Page 38: Applications of the Derivative 4 Applications of the First Derivative Applications of the Second Derivative Curve Sketching Optimization I Optimization

So with a radius ≈ 2.52 in. and height ≈ 3.02 in., the cost is minimized at ≈ $3.58.

Graph of cost function to verify absolute minimum:

2.5r

C