4.1 extreme values of functions

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Absolute extreme values are either maximum or minimum points on a curve. ey are sometimes called global extremes. y are also sometimes called absolute extrem trema is the plural of the Latin extremum.) 4.1 Extreme Values of Functions

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4.1 Extreme Values of Functions. Absolute extreme values are either maximum or minimum points on a curve. They are sometimes called global extremes. They are also sometimes called absolute extrema . ( Extrema is the plural of the Latin extremum .). 4.1 Extreme Values of Functions. - PowerPoint PPT Presentation

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Page 1: 4.1 Extreme Values of Functions

Absolute extreme values are either maximum or minimum points on a curve.

They are sometimes called global extremes.

They are also sometimes called absolute extrema.(Extrema is the plural of the Latin extremum.)

4.1 Extreme Values of Functions

Page 2: 4.1 Extreme Values of Functions

4.1 Extreme Values of Functions

Definition Absolute Extreme ValuesLet f be a function with domain D. Then f (c) is the

a. absolute minimum value on D if and only if f(x) < f (c) for all x in D.b. absolute maximum value on D if and only if f(x) > f (c) for all x in D.

Page 3: 4.1 Extreme Values of Functions

Extreme values can be in the interior or the end points of a function.

2y x

,D Absolute Minimum

No AbsoluteMaximum

4.1 Extreme Values of Functions

Page 4: 4.1 Extreme Values of Functions

2y x

0,2D Absolute Minimum

AbsoluteMaximum

4.1 Extreme Values of Functions

Page 5: 4.1 Extreme Values of Functions

2y x

0,2D No Minimum

AbsoluteMaximum

4.1 Extreme Values of Functions

Page 6: 4.1 Extreme Values of Functions

2y x

0,2D No Minimum

NoMaximum

4.1 Extreme Values of Functions

Page 7: 4.1 Extreme Values of Functions

Extreme Value Theorem:

If f is continuous over a closed interval, [a,b] then f has a maximum and minimum value over that interval.

Maximum & minimumat interior points

Maximum & minimumat endpoints

Maximum at interior point, minimum at endpoint

4.1 Extreme Values of Functions

Page 8: 4.1 Extreme Values of Functions

Local Extreme Values:

A local maximum is the maximum value within some open interval.

A local minimum is the minimum value within some open interval.

4.1 Extreme Values of Functions

Page 9: 4.1 Extreme Values of Functions

Absolute minimum(also local minimum)

Local maximum

Local minimum

Absolute maximum(also local maximum)

Local minimum

Local extremes are also called relative extremes.

4.1 Extreme Values of Functions

Page 10: 4.1 Extreme Values of Functions

Local maximum

Local minimum

Notice that local extremes in the interior of the function occur where is zero or is undefined.f f

Absolute maximum(also local maximum)

4.1 Extreme Values of Functions

Page 11: 4.1 Extreme Values of Functions

Local Extreme Values:

If a function f has a local maximum value or a local minimum value at an interior point c of its domain, and if exists at c, then

0f c

f

4.1 Extreme Values of Functions

Page 12: 4.1 Extreme Values of Functions

Critical Point:

A point in the domain of a function f at whichor does not exist is a critical point of f .

0f f

Note:Maximum and minimum points in the interior of a function always occur at critical points, but critical points are not always maximum or minimum values.

4.1 Extreme Values of Functions

Page 13: 4.1 Extreme Values of Functions

EXAMPLE 3 FINDING ABSOLUTE EXTREMA

Find the absolute maximum and minimum values of on the interval . 2/3f x x 2,3

2/3f x x

132

3f x x

3

23

f xx

There are no values of x that will makethe first derivative equal to zero.

The first derivative is undefined at x=0,so (0,0) is a critical point.

Because the function is defined over aclosed interval, we also must check theendpoints.

4.1 Extreme Values of Functions

Page 14: 4.1 Extreme Values of Functions

0 0f

To determine if this critical point isactually a maximum or minimum, wetry points on either side, withoutpassing other critical points.

2/ 3f x x

1 1f 1 1f

Since 0<1, this must be at least a local minimum, and possibly a global minimum.

2,3D

At: 0x

At: 2x 232 2 1.5874f

At: 3x 233 3 2.08008f

4.1 Extreme Values of Functions

Page 15: 4.1 Extreme Values of Functions

0 0f

2/3f x x 2,3D

At: 2x 232 2 1.5874f

At: 3x

Absoluteminimum:

Absolutemaximum:

0,0

3,2.08

233 3 2.08008f

4.1 Extreme Values of Functions

Page 16: 4.1 Extreme Values of Functions

4.1 Extreme Values of Functions

y = x2/3

Page 17: 4.1 Extreme Values of Functions

Finding Maximums and Minimums Analytically:

1 Find the derivative of the function, and determine where the derivative is zero or undefined. These are the critical points.

2 Find the value of the function at each critical point.

3 Find values or slopes for points between the critical points to determine if the critical points are maximums or minimums.

4 For closed intervals, check the end points as well.

4.1 Extreme Values of Functions

Page 18: 4.1 Extreme Values of Functions

4.1 Extreme Values of Functions

Find the absolute maximum and minimum of the function

]2,1[,2452)( 23 onxxxxf

4106)(' 2 xxxf

41060 2 xxFind the critical numbers

2530 2 xx)1)(23(0 xx 1

32

xx or

Page 19: 4.1 Extreme Values of Functions

4.1 Extreme Values of Functions

Find the absolute maximum and minimum of the function

]2,1[,2452)( 23 onxxxxf

Check endpoints and critical numbers

The absolute maximum is 2 when x = -2The absolute minimum is -13 when x = -1

2211

2726

32

131

xfx

Page 20: 4.1 Extreme Values of Functions

4.1 Extreme Values of Functions

Find the absolute maximum and minimum of the function

]3,0[,13)(

2

on

x

xxf 2

2

)1()1)(3()2)(1()('

x

xxxxf

320 2 xx

Find the critical numbers

)1)(3(0 xx 13 xx or

2

2

)1(32)('

x

xxxf

Page 21: 4.1 Extreme Values of Functions

4.1 Extreme Values of Functions

Find the absolute maximum and minimum of the function

]3,0[,13)(

2

on

x

xxf

332130xfx

Check endpoints and critical numbers

The absolute maximum is 3 when x = 0, 3The absolute minimum is 2 when x = 1

Page 22: 4.1 Extreme Values of Functions

4.1 Extreme Values of Functions

Find the absolute maximum and minimum of the function

2,0,sinsin)( 2 onxxxf

xxxxf cossin2cos)('

Find the critical numbers

xxx cossin2cos0

)sin21(cos0 xx

0cos x 0sin21 x

23,

2

x 65,

6

x

Page 23: 4.1 Extreme Values of Functions

4.1 Extreme Values of Functions

Find the absolute maximum andminimum of the function

2,0,sinsin)( 2 onxxxf

02

22

341

65

02

41

6

00

xfx

The absolute maximum is 1/4 when x = /6, 5/6The absolute minimum is –2 when x =3/2

Page 24: 4.1 Extreme Values of Functions

Critical points are not always extremes!

3y x

0f (not an extreme)

4.1 Extreme Values of Functions

Page 25: 4.1 Extreme Values of Functions

1/3y x

is undefined.f (not an extreme)

4.1 Extreme Values of Functions

Page 26: 4.1 Extreme Values of Functions

If f (x) is a differentiable function over [a,b], then at some point between a and b:

f b f af c

b a

Mean Value Theorem for Derivatives

4.2 Mean Value Theorem

Page 27: 4.1 Extreme Values of Functions

If f (x) is a differentiable function over [a,b], then at some point between a and b:

f b f af c

b a

Mean Value Theorem for Derivatives

Differentiable implies that the function is also continuous.

4.2 Mean Value Theorem

Page 28: 4.1 Extreme Values of Functions

If f (x) is a differentiable function over [a,b], then at some point between a and b:

f b f af c

b a

Mean Value Theorem for Derivatives

Differentiable implies that the function is also continuous.

The Mean Value Theorem only applies over a closed interval.

4.2 Mean Value Theorem

Page 29: 4.1 Extreme Values of Functions

If f (x) is a differentiable function over [a,b], then at some point between a and b:

f b f af c

b a

Mean Value Theorem for Derivatives

The Mean Value Theorem says that at some point in the closed interval, the actual slope equals the average slope.

4.2 Mean Value Theorem

Page 30: 4.1 Extreme Values of Functions

y

x0

A

B

a b

Slope of chord:

f b f ab a

Slope of tangent:

f c

y f x

Tangent parallel to chord.

c

4.2 Mean Value Theorem

Page 31: 4.1 Extreme Values of Functions

If f (x) is a differentiable function over [a,b], and if f(a) = f(b) = 0, then there is at least one point c between a and b such that f’(c)=0:

Rolle’s Theorem

4.2 Mean Value Theorem

(a,0) (b,0)

Page 32: 4.1 Extreme Values of Functions

4.2 Mean Value TheoremShow the function satisfies the hypothesis ofthe Mean Value Theorem

3,0oncos)( xxf

The function is continuous on [0,/3] and differentiable on(0,/3). Since f(0) = 1 and f(/3) = 1/2, the Mean Value Theorem guarantees a point c in the interval (0,/3) for which

f b f af c

b a

csin03/12/1

c = .498

Page 33: 4.1 Extreme Values of Functions

4.2 Mean Value Theorem(0,1)

(/3,1/2)

at x = .498, the slopeof the tangent line isequal to the slope of the chord.

Page 34: 4.1 Extreme Values of Functions

4.2 Mean Value Theorem

Definitions Increasing Functions, Decreasing FunctionsLet f be a function defined on an interval I and let x1 and x2

be any two points in I.

1. f increases on I if x1 < x2 f(x1) < f(x2).2. f decreases on I if x1 > x2 f(x1) > f(x2).

Page 35: 4.1 Extreme Values of Functions

A function is increasing over an interval if the derivative is always positive.

A function is decreasing over an interval if the derivative is always negative.

A couple of somewhat obvious definitions:

4.2 Mean Value Theorem

Corollary Increasing Functions, Decreasing FunctionsLet f be continuous on [a,b] and differentiable on (a,b).1. If f’ > 0 at each point of (a,b), then f increases on [a,b].2. If f’ < 0 at each point of (a,b), then f decreases on [a,b].

Page 36: 4.1 Extreme Values of Functions

4.2 Mean Value TheoremFind where the function is increasing and decreasing and find the local extrema.

xxxxf 249)( 23

xxxxf 249)( 23

24183)(' 2 xxxf

)86(30 2 xx)86(0 2 xx)2)(4(0 xx

2 40 0 f’(x)

+-+

),4()2,( inc

)4,2(decx = 2, local maximum x = 4, local minimum

Page 37: 4.1 Extreme Values of Functions

4.2 Mean Value Theorem

(2,20) local max

(4,16) local min

Page 38: 4.1 Extreme Values of Functions

y

x0

y f x

y g x

These two functions have the same slope at any value of x.

Functions with the same derivative differ by a constant.

C4.2 Mean Value Theorem

Page 39: 4.1 Extreme Values of Functions

Find the function whose derivative is and whose graph passes through

f x sin x 0,2

cos sind x xdx

cos sind x xdx

so:

cosf x x C

2 cos 0 C

4.2 Mean Value Theorem

Page 40: 4.1 Extreme Values of Functions

Find the function f(x) whose derivative is sin(x) and whose graph passes through (0,2).

cos sind x xdx

cos sind x xdx

so:

cosf x x C

2 cos 0 C 2 1 C

3 C

cos 3f x x Notice that we had to have initial values to determine the value of C.

4.2 Mean Value Theorem

Page 41: 4.1 Extreme Values of Functions

The process of finding the original function from the derivative is so important that it has a name:

Antiderivative

A function is an antiderivative of a function

if for all x in the domain of f. The process of finding an antiderivative is antidifferentiation.

F x f x F x f x

You will hear much more about antiderivatives in the future.

This section is just an introduction.

4.2 Mean Value Theorem

Page 42: 4.1 Extreme Values of Functions

Since acceleration is the derivative of velocity, velocity must be the antiderivative of acceleration.

Example 7b: Find the velocity and position equations for a downward acceleration of 9.8 m/sec2 and an initial velocity of 1 m/sec downward.

9.8a t

9.8 1v t t

1 9.8 0 C

1 C

9.8v t t C (We let down be positive.)

4.2 Mean Value Theorem

Page 43: 4.1 Extreme Values of Functions

Since velocity is the derivative of position, position must be the antiderivative of velocity.

9.8a t

9.8 1v t t

1 9.8 0 C

1 C

9.8v t t C 29.8

2s t t t C

The power rule in reverse: Increase the exponent by one and multiply by the reciprocal of the new exponent.

4.2 Mean Value Theorem

Page 44: 4.1 Extreme Values of Functions

9.8a t

9.8 1v t t

1 9.8 0 C

1 C

9.8v t t C 29.8

2s t t t C

24.9s t t t C The initial position is zero at time zero.

20 4.9 0 0 C 0 C

24.9s t t t

4.2 Mean Value Theorem

Page 45: 4.1 Extreme Values of Functions

In the past, one of the important uses of derivatives was as an aid in curve sketching. We usually use a calculator of computer to draw complicated graphs, it is still important to understand the relationships between derivatives and graphs.

4.3 Connecting f’ and f’’ with the Graph of f

Page 46: 4.1 Extreme Values of Functions

First Derivative Test for Local Extrema at a critical point c

4.3 Connecting f’ and f’’ with the Graph of f

1. If f ‘ changes sign from positive to negative at c, then f has a local maximum at c.

local max

f’>0 f’<0

2. If f ‘ changes sign from negative to positive at c, then f has a local minimum at c.

3. If f ‘ changes does not change sign at c, then f has no local extrema.

local min

f’<0 f’>0

no extreme

f’>0 f’>0

Page 47: 4.1 Extreme Values of Functions

First derivative:

y is positive Curve is rising.

y is negative Curve is falling.

y is zero Possible local maximum or minimum.

4.3 Connecting f’ and f’’ with the Graph of f

Page 48: 4.1 Extreme Values of Functions

4.3 Connecting f’ and f’’ with the Graph of f

Definition Concavity

The graph of a differentiable function y = f(x) is

a. concave up on an open interval I if y’ is increasing on I. (y’’>0)b. concave down on an open interval I if y’ is decreasing on I. (y’’<0)

concave down

concave up

Page 49: 4.1 Extreme Values of Functions

4.3 Connecting f’ and f’’ with the Graph of f

Second Derivative Test for Local Extrema at a critical point c

1. If f’(c) = 0 and f’’(c) < 0, then f has a local maximum at x = c.2. If f’(c) = 0 and f’’(c) > 0, then f has a local minimum at x = c.

+ +

Page 50: 4.1 Extreme Values of Functions

Second derivative:

y is positive Curve is concave up.

y is negative Curve is concave down.

y is zero Possible inflection point(where concavity changes).

4.3 Connecting f’ and f’’ with the Graph of f

Page 51: 4.1 Extreme Values of Functions

4.3 Connecting f’ and f’’ with the Graph of f

Definition Point of Inflection

A point where the graph of a function has a tangent line andwhere the concavity changes is called a point of inflection.

inflection point

Page 52: 4.1 Extreme Values of Functions

23 23 4 1 2y x x x x

23 6y x x 0ySet

20 3 6x x 20 2x x

0 2x x 0, 2x

First derivative test:

y0 2

0 0

21 3 1 6 1 3y negative

21 3 1 6 1 9y positive

23 3 3 6 3 9y positive

Possible extreme at .0, 2x

4.3 Connecting f’ and f’’ with the Graph of f

Sketch the graph

zeros at x = -1, x = 2

Page 53: 4.1 Extreme Values of Functions

23 6y x x

0ySet

20 3 6x x

20 2x x

0 2x x

0, 2x

First derivative test:

y0 2

0 0

maximum at 0x

minimum at 2x

Possible extreme at .0, 2x

4.3 Connecting f’ and f’’ with the Graph of f

Page 54: 4.1 Extreme Values of Functions

23 6y x x

0ySet

20 3 6x x

20 2x x

0 2x x

0, 2x

Possible extreme at .0, 2x

Or you could use the second derivative test:

maximum at 0x minimum at 2x

6 6y x

0 6 0 6 6y negativeconcave downlocal maximum

2 6 2 6 6y positiveconcave uplocal minimum

4.3 Connecting f’ and f’’ with the Graph of f

Page 55: 4.1 Extreme Values of Functions

6 6y x

We then look for inflection points by setting the second derivative equal to zero.

0 6 6x

6 6x

1 x

Possible inflection point at .1x

y1

0

0 6 0 6 6y negative

2 6 2 6 6y positive

inflection point at 1x

4.3 Connecting f’ and f’’ with the Graph of f

Page 56: 4.1 Extreme Values of Functions

Make a summary table: x y y y

1 0 9 12 rising, concave down

0 4 0 6 local max

1 2 3 0 falling, inflection point

2 0 0 6 local min

3 4 9 12 rising, concave up

4.3 Connecting f’ and f’’ with the Graph of f

Page 57: 4.1 Extreme Values of Functions

A Classic ProblemYou have 40 feet of fence to enclose a rectangular garden along the side of a barn. What is the maximum area that you can enclose?

4.4 Modeling and Optimization

Page 58: 4.1 Extreme Values of Functions

x x

40 2x

40 2A x x

240 2A x x

40 4A x

0 40 4x

4 40x

10x

10 40 2 10A

10 20A

2200 ftA 40 2l x

w x 10 ftw

20 ftl

4.4 Modeling and Optimization

Page 59: 4.1 Extreme Values of Functions

To find the maximum (or minimum) value of a function:

4.4 Modeling and Optimization

1. Understand the Problem.2. Develop a Mathematical Model.3. Graph the Function.4. Identify Critical Points and Endpoints.5. Solve the Mathematical Model.6. Interpret the Solution.

Page 60: 4.1 Extreme Values of Functions

What dimensions for a one liter cylindrical can will use the least amount of material?

We can minimize the material by minimizing the area.

22 2A r rh

area ofends

lateralarea

We need another equation that relates r and h:

2V r h

31 L 1000 cm

21000 r h

2

1000 hr

22

10 02 02A r rr

2 20002A rr

2

20004A rr

4.4 Modeling and Optimization

Page 61: 4.1 Extreme Values of Functions

22 2A r rh area ofends

lateralarea

2V r h

31 L 1000 cm21000 r h

2

1000 hr

22

10 02 02A r rr

2 20002A rr

2

20004A rr

2

20000 4 rr

2

2000 4 rr

32000 4 r

3500 r

3500r

5.42 cmr

2

10005.42

h

10.83 cmh

4.4 Modeling and Optimization

Page 62: 4.1 Extreme Values of Functions

4.4 Modeling and Optimization

Find the radius and height ofthe right-circular cylinder oflargest volume that can beinscribed in a right-circularcone with radius 6 in. andheight 10 in. h

r10 in

6 in

Page 63: 4.1 Extreme Values of Functions

4.4 Modeling and Optimization

h

r

10 in

6 in

The formula for the volume ofthe cylinder is hrV 2

To eliminate one variable, weneed to find a relationshipbetween r and h.

61010

r

h

rh3510

6h

10-hr

10

Page 64: 4.1 Extreme Values of Functions

4.4 Modeling and Optimization

h

r10 in

6 in

hrV 2

322

3510

3510 rrrrV

2520 rrdrdV

)4(50 rr

4,0 rr

Page 65: 4.1 Extreme Values of Functions

4.4 Modeling and Optimization

h

r

10 in

6 in

Check critical points and endpoints.

•r = 0, V = 0•r = 4 V = 160/3•r = 6 V = 0

The cylinder will have a maximum volume when r = 4 in. and h = 10/3 in.

Page 66: 4.1 Extreme Values of Functions

Determine the point on the curve y = x2 that is closest to the point (18, 0).                

4.4 Modeling and Optimization

22)18( yxd

42)18( xxd

Substitute for x

42 )32436( xxxd

)3624()32436(21 32

124

xxxxx

dxds

Page 67: 4.1 Extreme Values of Functions

Determine the point on the curve y = x2 that is closest to the point (18, 0).                

4.4 Modeling and Optimization

)3624()32436(21 32

124

xxxxx

dxds

0dxdsset 36240 3 xx 1820 3 xx

2x 4y

Page 68: 4.1 Extreme Values of Functions

Determine the point on the curve y = x2 that is closest to the point (18, 0).                

4.4 Modeling and Optimization

1820 3 xx

2x 4y

)942)(2(0 2 xxx

2

- 0 +

Page 69: 4.1 Extreme Values of Functions

If the end points could be the maximum or minimum, you have to check.

Notes:

If the function that you want to optimize has more than one variable, use substitution to rewrite the function.If you are not sure that the extreme you’ve found is a maximum or a minimum, you have to check.

4.4 Modeling and Optimization

Page 70: 4.1 Extreme Values of Functions

For any function f (x), the tangent is a close approximation of the function for some small distance from the tangent point.

y

x0 x a

f x f aWe call the equation of the tangent the linearization of the function.

4.5 Linearization and Newton’s Method

Page 71: 4.1 Extreme Values of Functions

The linearization is the equation of the tangent line, and you can use the old formulas if you like.

Start with the point/slope equation:

1 1y y m x x 1x a 1y f a m f a

y f a f a x a y f a f a x a

L x f a f a x a linearization of f at a

f x L x is the standard linear approximation of f at a.

4.5 Linearization and Newton’s Method

Page 72: 4.1 Extreme Values of Functions

Find the linearization of f(x) = x4 + 2x at x = 2

L x f a f a x a

4.5 Linearization and Newton’s Method

f’(x) = 4x3 + 2

L (x) = f(3) + f’(3)(x - 3)

L (x) = 87 + 110(x - 3)

L (x) = 110x - 243

Page 73: 4.1 Extreme Values of Functions

Important linearizations for x near zero:

1 kx 1 kx

sin x

cos x

tan x

x

1

x

12

11 1 12

x x x

13 4 4 3

4 4

1 5 1 5

1 51 5 13 3

x x

x x

f x L x

This formula also leads to non-linear approximations:

4.5 Linearization and Newton’s Method

Page 74: 4.1 Extreme Values of Functions

4.5 Linearization and Newton’s Method

Estimate using local linearization. 37

21

21)('

)(

xxf

xxf L x f a f a x a

)3637)(36(')36()37( ffL

)1(1216)37( L

0833.6)37( L

Page 75: 4.1 Extreme Values of Functions

4.5 Linearization and Newton’s Method

Estimate sin 31º using local linearization.

xxfxxf

cos)('sin)(

L x f a f a x a

180

)30(')30()31( ffL

1802

321)31( L

3603180)31(

L

Need tobe in radians

Page 76: 4.1 Extreme Values of Functions

Differentials:

When we first started to talk about derivatives, we said

that becomes when the change in x and

change in y become very small.

yx

dydx

dy can be considered a very small change in y.

dx can be considered a very small change in x.

4.5 Linearization and Newton’s Method

Page 77: 4.1 Extreme Values of Functions

Let y = f(x) be a differentiable function. The differential dx is an independent variable.The differential dy is: dy = f ’(x)dx

4.5 Linearization and Newton’s Method

Page 78: 4.1 Extreme Values of Functions

Example: Consider a circle of radius 10. If the radius increases by 0.1, approximately how much will the area change?

2A r2 dA r dr

2 dA drrdx dx

very small change in Avery small change in r

2 10 0.1dA 2dA (approximate change in area)

4.5 Linearization and Newton’s Method

Page 79: 4.1 Extreme Values of Functions

Compare to actual change:

New area:

Old area:

210.1 102.01

210 100.00

4.5 Linearization and Newton’s Method

01.2A

2dAAbsoluteerror

%2100

2

AdA

%01.2100

01.2

AA

percenterror

Page 80: 4.1 Extreme Values of Functions

4.5 Linearization and Newton’s Method

True EstimatedAbsolute Change

Relative Change

Percent Change

)()( afdxaff dxafdf )('

)(aff

)(afdf

%100)(

xaf

df%100)(

xaff

Page 81: 4.1 Extreme Values of Functions

4.5 Linearization and Newton’s Method

Newton’s Method

0 x

y

y = f(x)

Rootsought

x1

First

(x1,f(x1))

x2

Second

x3

Third

(x2,f(x2))

(x3,f(x3))

)( 1212 xxmyy

))((')(0 121 xxxfxf ))((')(0 121 xxxfxf

)(')(')( 1121 xfxxfxxf

)(')(

1

112 xf

xfxx

Page 82: 4.1 Extreme Values of Functions

This is Newton’s Method of finding roots. It is an example of an algorithm (a specific set of computational steps.)

Newton’s Method: 1

nn n

n

f xx x

f x

This is a recursive algorithm because a set of steps are repeated with the previous answer put in the next repetition. Each repetition is called an iteration.

4.5 Linearization and Newton’s Method

Page 83: 4.1 Extreme Values of Functions

Newton’s Method

21 32

f x x

Finding a root for:

We will use Newton’s Method to find the root between 2 and 3.

4.5 Linearization and Newton’s Method

Page 84: 4.1 Extreme Values of Functions

Newton’s Method 21 32

f x x

4.5 Linearization and Newton’s Method

xxf )('

Guess x1 = 2

)(')(

1

112 xf

xfxx

5.22122

x

Page 85: 4.1 Extreme Values of Functions

Newton’s Method 21 32

f x x

4.5 Linearization and Newton’s Method

xxf )('

Guess x2 = 2.5

)(')(

2

223 xf

xfxx

45.25.2

125.5.23 x

Page 86: 4.1 Extreme Values of Functions

Find where crosses .3y x x 1y

31 x x 30 1x x

3 1f x x x

23 1f x x

4.5 Linearization and Newton’s Method

Page 87: 4.1 Extreme Values of Functions

nx nf xn nf x 1

nn n

n

f xx x

f x

0 1 1 2 11 1.52

1 1.5 .875 5.75.8751.5 1.34782615.75

2 1.3478261 .1006822 4.4499055 1.3252004

31.3252004 1.3252004 1.0020584 1

4.5 Linearization and Newton’s Method

Page 88: 4.1 Extreme Values of Functions

There are some limitations to Newton’s Method:

Wrong root found

Looking for this root.

Bad guess.Failure to converge

4.5 Linearization and Newton’s Method

Page 89: 4.1 Extreme Values of Functions

First, a review problem:

Consider a sphere of radius 10 cm.

If the radius changes 0.1 cm (a very small amount) how much does the volume change?

343

V r 24dV r dr

24 10cm 0.1cmdV 340 cmdV

The volume would change by approximately 40 cm3 .

4.6 Related Rates

Page 90: 4.1 Extreme Values of Functions

Now, suppose that the radius is changing at an instantaneous rate of 0.1 cm/sec.

343

V r 24dV drrdt dt

2 cm4 10cm 0.1sec

dVdt

3cm40sec

dVdt

The sphere is growing at a rate of 40 cm3/sec .

Note: This is an exact answer, not an approximation like we got with the differential problems.

4.6 Related Rates

Page 91: 4.1 Extreme Values of Functions

Water is draining from a cylindrical tank at 3 liters/second. How fast is the surface dropping?

L3sec

dVdt

3cm3000

sec

Finddhdt

2V r h

2dV dhrdt dt

(r is a constant.)

32cm3000

secdhrdt

3

2

cm3000secdh

dt r

(We need a formula to relate V and h. )

4.6 Related Rates

Page 92: 4.1 Extreme Values of Functions

Steps for Related Rates Problems:

1. Draw a picture (sketch).

2. Write down known information.

3. Write down what you are looking for.

4. Write an equation to relate the variables.

5. Differentiate both sides with respect to t.

6. Evaluate.

4.6 Related Rates

Page 93: 4.1 Extreme Values of Functions

Hot Air Balloon Problem:

Given:4

rad0.14min

ddt

How fast is the balloon rising?

Finddhdt

tan500

h

2 1sec500

d dhdt dt

2 1sec 0.14

4 500dhdt

h

500ft

4.6 Related Rates

Page 94: 4.1 Extreme Values of Functions

Hot Air Balloon Problem:

Given:4

rad0.14min

ddt

How fast is the balloon rising?

Finddhdt

tan500

h

2 1sec500

d dhdt dt

2 1sec 0.144 500

dhdt

h

500ft

2

2 0.14 500 dhdt

1

12

4

sec 24

ft140min

dhdt

4.6 Related Rates

Page 95: 4.1 Extreme Values of Functions

4x

3y

B

A

5z

Truck Problem:Truck A travels east at 40 mi/hr.Truck B travels north at 30 mi/hr.

How fast is the distance between the trucks changing 6 minutes later?

r t d 140 4

10

130 310

2 2 23 4 z 29 16 z 225 z 5 z

4.6 Related Rates

Page 96: 4.1 Extreme Values of Functions

4x

3y

30dydt

40dxdt

B

A

5z

Truck Problem:

How fast is the distance between the trucks changing 6 minutes later?

r t d 140 4

10

130 310

2 2 23 4 z 29 16 z

2 2 2x y z

2 2 2dx dy dzx y zdt dt dt

4 40 3 30 5 dzdt

Truck A travels east at 40 mi/hr.Truck B travels north at 30 mi/hr.

4.6 Related Rates

Page 97: 4.1 Extreme Values of Functions

250 5 dzdt

50 dzdt

miles50hour

4.6 Related RatesTruck Problem:

How fast is the distance between the trucks changing 6 minutes later?

Truck A travels east at 40 mi/hr.Truck B travels north at 30 mi/hr.