BMayer@ChabotCollege.edu MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx 1 Bruce Mayer, PE...

Preview:

Citation preview

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx1

Bruce Mayer, PE Chabot College Mathematics

Bruce Mayer, PELicensed Electrical & Mechanical Engineer

BMayer@ChabotCollege.edu

Chabot Mathematics

§2.3 Higher Order

Derivatives

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx2

Bruce Mayer, PE Chabot College Mathematics

Review §

Any QUESTIONS About• §2.2 → Techniques of Differentiation

Any QUESTIONS About HomeWork• §2.2 → HW-8

2.2

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx3

Bruce Mayer, PE Chabot College Mathematics

§2.3 Learning Goals

Use the product and quotient rules to find derivatives

Define and study the second derivative and higher-order derivatives

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx4

Bruce Mayer, PE Chabot College Mathematics

Product INequality

The Derivative Defintion (at right) is NONLinear Such That:

In other words, the derivative of a product of functions does NOT EQUAL the Product of the individual Derivatives

h

xfhxfxf

h

)()(lim'

0

xg

dx

dxf

dx

dxgxf

dx

d

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx5

Bruce Mayer, PE Chabot College Mathematics

Example Product INequality

Compute Similar-Looking Derivatives

&

Notice that the two expressions, 5x4 & 6x3, are NOT EQUAL

45x

36x

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx6

Bruce Mayer, PE Chabot College Mathematics

Rule Roster – Product Rule

If f(x) and g(x) are differentiable at x, then so is their product, f(x)·g(x), and

Or in LaGrange Notation

The Summary Statement:• The 1st times the Derivative of the 2nd Plus

the 2nd times the Derivative of the 1st

dx

dfxg

dx

dgxfxgxf

dx

d

''' fggfgf

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx8

Bruce Mayer, PE Chabot College Mathematics

Example Product Rule on

Compute the Derivativeof the Product:

SOLUTION Let: f(x) = x2 & g(x) = x3 in the Product

Rule so that:

32 xx

32 xx

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx9

Bruce Mayer, PE Chabot College Mathematics

Example Product Rule on

Or:

This is the SAME as the correct answer in the Previous Example

32 xx

22332 32 xxxxxxdx

d

4432 32 xxxxdx

d

432 5xxxdx

d

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx10

Bruce Mayer, PE Chabot College Mathematics

Example CellPhone Revenue

A Smart Industrial Engineer at Apple© Develops a Model Math Function for the Demand for SmartPhones:

• Where–D ≡ Phone-Demand in k-Phones– p ≡ Phone-Price in $k

21001012 pppD

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx11

Bruce Mayer, PE Chabot College Mathematics

Example CellPhone Revenue

Use the IE’s Demand Model to Find At what rate is revenue changing With Respect To (W.R.T.) price when Selling phones at 0.2 $k ($200 per phone)?

SOLUTION First construct a revenue function as the

product of the price per phone and number of phones sold:

pDpPR

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx12

Bruce Mayer, PE Chabot College Mathematics

Example CellPhone Revenue

Subbing for D(p) find for R(p):

• Note that R has units of ($k/Ph)·(kPh) = $M– i.e.; R has units of MegaBucks

Recall the RoC is simply the Derivative• Find dR/dp using the product Rule

21001012 ppppDppR

21001012 pppdp

d

dp

dR

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx13

Bruce Mayer, PE Chabot College Mathematics

Example CellPhone Revenue

Engaging the Product Rule

21001012' pppdp

dpR

dp

dpR

xgxfxgxf

pppdp

dpp

dp

dp

' '

10010121001012 22

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx14

Bruce Mayer, PE Chabot College Mathematics

Example CellPhone Revenue

Next determine the rate of change in revenue at a unit price of $200.

In other words need to find dR/dp at a price of $0.2k

pppppR 2001010010121' 2 22 200101001012 pppp

.3002012 2pp

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx15

Bruce Mayer, PE Chabot College Mathematics

Example CellPhone Revenue

23002012 ppdp

dR

2

2.0$

2.03002.02012 kp

dp

dR

Ph$k

$M 412412

2.0$

kp

dp

dR

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx16

Bruce Mayer, PE Chabot College Mathematics

Example CellPhone Revenue

The Calculation Shows

Thus we can say that at a Selling Price of $0.2k per phone Revenue will DEcrease $4,000 for every $1 INcrease in the Phone Price

Ph$

$k4

ph$k

$M 4

2.0$

kp

dp

dR

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx17

Bruce Mayer, PE Chabot College Mathematics

Example CellPhone Revenue

0 0.05 0.1 0.15 0.2 0.25 0.30

0.2

0.4

0.6

0.8

1

1.2

1.4

p ($k/Ph)

R (

$M

)MTH15 • CellPh Revenue Sensitivity

XYf cnGraph6x6BlueGreenBkGndTemplate1306.m

RoC (Sensitivity) is Tangent Line Slope

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx18

Bruce Mayer, PE Chabot College Mathematics

Example CellPhone Revenue

0 0.05 0.1 0.15 0.2 0.25 0.30

0.2

0.4

0.6

0.8

1

1.2

1.4

p ($k/Ph)

R (

$M

)MTH15 • CellPh Max Revenue

XYf cnGraph6x6BlueGreenBkGndTemplate1306.m $0.1695k

$1.2597M

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx19

Bruce Mayer, PE Chabot College Mathematics

MA

TL

AB

Co

de

% Bruce Mayer, PE% MTH-15 • 05Jul13% XYfcnGraph6x6BlueGreenBkGndTemplate1306.m%% The Limitsxmin = 0; xmax = 0.3; ymin =0; ymax = 1.4;% The FUNCTIONx = linspace(xmin,xmax,500); y1 = x.*(12-10*x-100*x.^2); y2 = -4*(x-.2) +1.2% % The ZERO Lineszxh = [xmin xmax]; zyh = [0 0]; zxv = [0 0]; zyv = [ymin ymax];%% the 6x6 Plotaxes; set(gca,'FontSize',12);whitebg([0.8 1 1]); % Chg Plot BackGround to Blue-Greenplot(x,y1, 'LineWidth', 4),axis([xmin xmax ymin ymax]),... grid, xlabel('\fontsize{14}p ($k/Ph)'), ylabel('\fontsize{14}R ($M)'),... title(['\fontsize{16}MTH15 • CellPh Revenue Sensitivity',]),... annotation('textbox',[.15 .05 .0 .1], 'FitBoxToText', 'on', 'EdgeColor', 'none', 'String', 'XYfcnGraph6x6BlueGreenBkGndTemplate1306.m','FontSize',7)hold onplot(x,y2, '-- m', 0.2,1.2, 'd r', 'MarkerSize', 10,'MarkerFaceColor', 'r', 'LineWidth', 2)set(gca,'XTick',[xmin:.05:xmax]); set(gca,'YTick',[ymin:.2:ymax])hold off%disp('showning first plot - HIT ANY KEY to continue')pauseaxes; set(gca,'FontSize',12);whitebg([0.8 1 1]); % Chg Plot BackGround to Blue-Greenplot(x,y1, 'LineWidth', 4),axis([xmin xmax ymin ymax]),... grid, xlabel('\fontsize{14}p ($k/Ph)'), ylabel('\fontsize{14}R ($M)'),... title(['\fontsize{16}MTH15 • CellPh Max Revenue',]),... annotation('textbox',[.15 .05 .0 .1], 'FitBoxToText', 'on', 'EdgeColor', 'none', 'String', 'XYfcnGraph6x6BlueGreenBkGndTemplate1306.m','FontSize',7)hold onplot([0.1695,0.1695], [0,1.2597], '-- m', [0,0.1695], [1.2597,1.2597], '-- m', 'LineWidth', 2)set(gca,'XTick',[xmin:.05:xmax]); set(gca,'YTick',[ymin:.2:ymax])%[C,I] = max(y1)x(I)

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx20

Bruce Mayer, PE Chabot College Mathematics

Rule Roster – Quotient Rule

If f(x) and g(x) are differentiable functions with g(x) ≠ 0, then

In particular, the derivative of the quotient of f(x) and g(x) is NOT df/dx divided by dg/dx.

xg

dxdg

xfdxdf

xg

xg

xf

dx

d2

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx22

Bruce Mayer, PE Chabot College Mathematics

Example RoC in a Population

One population model for deer on an island suggests that t years after initial observation, the population • Where P is the fraction of the carrying

capacity on the island. – e.g.; P(0) = 2/5 = 0.4, meaning 40% of the

Island’s total carrying capacity

Find, and Interpret the Meaning of:

53

23

t

ttP

1tdt

dP

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx23

Bruce Mayer, PE Chabot College Mathematics

Example RoC in a Population SOLUTION The function’s formula is a ratio of

expressions containing variables (and there’s no nice way to simplify the fraction), so use the quotient rule:

t

t

dt

d

dt

dP

35

32

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx24

Bruce Mayer, PE Chabot College Mathematics

Example RoC in a Population

Simplifying:

Now need to compute P’(1) and interpret the result

235

332353

t

tt

dt

dP

1406.064

9

)1(35

91' 2

1

dt

dPP

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx25

Bruce Mayer, PE Chabot College Mathematics

Example RoC in a Population

Units Analysis for dP/dt

Thus the Interpretation of

After 1 year the Deer population is growing at a rate of about 14.06% of the carrying capacity per year.

year

CC-%

t

P

dt

dP

1406.01 dtdP

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx26

Bruce Mayer, PE Chabot College Mathematics

Higher Order Derivatives

Q) What is the Derivative of a Derivative? A) Just another Function Quick Example recalling that the 1st

Derivative is just the Slope, m

The Derivative of the Slope is Called the “Curvature” or “Concavity”

xmxxdx

dfxxxf 62837 324

xCdx

xdm

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx27

Bruce Mayer, PE Chabot College Mathematics

Higher Order Derivatives

From the Previous Example

Following the Derivation Sequence

If we “fudge” and treat the differentials “d” and “dx” as algebraic quantities…

xCxdx

dmxxxm 684628 23

xf

dx

d

dx

d

dx

df

dx

dm

dx

d

dx

dmxC

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx28

Bruce Mayer, PE Chabot College Mathematics

Higher Order Derivatives

Then

Thus

Conventionally (dx)2 is written as dx2

Thus if y = f(x) the 2nd Derivative of y W.R.T. x:

xfdx

dxf

dxdx

ddxf

dx

d

dx

dxf

dx

d

dx

d2

2

2

2

2

2

2

2

2

2

1 dx

fd

dx

xfdxf

dx

dxf

dx

d

2

2

2

2

dx

yd

dx

ydy

dx

d

dx

d

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx29

Bruce Mayer, PE Chabot College Mathematics

Higher Order Derivatives

In general the conventional notation for the nth derivative of y W.R.T. x

Some Examples

n

n

dx

yd

Deriv No. Leibniz Form LaGrange Form

First

𝑑𝑦𝑑𝑥 𝑦′ Second 𝑑2𝑦𝑑𝑥2 𝑦′′ Third 𝑑3𝑦𝑑𝑥3 𝑦′′ Fourth 𝑑3𝑦𝑑𝑥3 𝑦′′ nth 𝑑𝑛𝑦𝑑𝑥𝑛 𝑦ሺ𝑛ሻ

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx30

Bruce Mayer, PE Chabot College Mathematics

Higher Order Derivatives

Back to the Previous Example

Then the 2nd derivative

Then the 3rd derivative

xxdx

dfxxxf 62837 324

684628 232

2

xxx

dx

d

dx

df

dx

d

dx

xfd

xxdx

d

dx

fd

dx

d

dx

xfd168684 2

2

2

3

3

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx31

Bruce Mayer, PE Chabot College Mathematics

WhiteBoard Work

Problem From §2.3• P54 → Profit Sensitivity With Respect to

the Product Production Rate

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx32

Bruce Mayer, PE Chabot College Mathematics

All Done for Today

UNconventionalLiebniz

Notation nn

n

n

dy

yd

dy

yd

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx33

Bruce Mayer, PE Chabot College Mathematics

Bruce Mayer, PELicensed Electrical & Mechanical Engineer

BMayer@ChabotCollege.edu

Chabot Mathematics

Appendix

srsrsr 22

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx34

Bruce Mayer, PE Chabot College Mathematics

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx35

Bruce Mayer, PE Chabot College Mathematics

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx36

Bruce Mayer, PE Chabot College Mathematics

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx37

Bruce Mayer, PE Chabot College Mathematics

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx38

Bruce Mayer, PE Chabot College Mathematics

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx39

Bruce Mayer, PE Chabot College Mathematics

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx40

Bruce Mayer, PE Chabot College Mathematics

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx41

Bruce Mayer, PE Chabot College Mathematics

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx42

Bruce Mayer, PE Chabot College Mathematics

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx43

Bruce Mayer, PE Chabot College Mathematics

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx44

Bruce Mayer, PE Chabot College Mathematics

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx45

Bruce Mayer, PE Chabot College Mathematics

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx46

Bruce Mayer, PE Chabot College Mathematics

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx47

Bruce Mayer, PE Chabot College Mathematics

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx48

Bruce Mayer, PE Chabot College Mathematics

BMayer@ChabotCollege.edu • MTH15_Lec-08_sec_2-3_Higher_Order_Derivatives_.pptx49

Bruce Mayer, PE Chabot College Mathematics

Alternative Quotient Rule Restate Quotient as rational Exponent,

then apply Product rule;to whit:

Then

Putting 2nd term over common denom

1 xgxfxg

xfxy

dx

dfxg

dx

dgxgxf

dx

dy 121

22 xgdxdf

xg

xgdxdg

xf

xg

xf

dx

d

dx

dy

Recommended