Section 4.1 Maximum and Minimum Values Applications of Differentiation.

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Section 4.1 Maximum and Minimum Values Applications of Differentiation

Transcript of Section 4.1 Maximum and Minimum Values Applications of Differentiation.

Page 1: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

Section 4.1

Maximum and

Minimum Values

Applications of Differentiation

Page 2: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

Applications of Differentiation

Maxima and Minima

Applications of Maxima and Minima

Page 3: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

Absolute Extrema

Absolute Minimum

Let f be a function defined on a domain D

Absolute Maximum

Page 4: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

The number f (c) is called the absolute maximum value of f in D

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

Absolute Maximum

Absolute Extrema

c

( )f c

Page 5: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

Absolute Minimum

Absolute ExtremaA function f has an absolute (global) minimum at x = c if f (c) f (x) for all x in the domain D of f.

The number f (c) is called the absolute minimum value of f in D

c

( )f c

Page 6: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

Generic Example

-3 -2 -1 1 2 3 4 5 6

-1

1

2

3

4

5

6

7

8

x

y

Page 7: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

Generic Example

-3 -2 -1 1 2 3 4 5 6

-1

1

2

3

4

5

6

7

8

x

y

Page 8: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

Generic Example

-3 -2 -1 1 2 3 4 5 6

-1

1

2

3

4

5

6

7

8

x

y

Page 9: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

Relative Extrema

A function f has a relative (local) maximum at x c if there exists an open interval (r, s) containing c such

that f (x) f (c) for all r x s.

Relative Maxima

Page 10: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

Relative Extrema

A function f has a relative (local) minimum at x c if there exists an open interval (r, s) containing c such

that f (c) f (x) for all r x s.

Relative Minima

Page 11: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

Fermat’s TheoremIf a function f has a local maximum or minimum at c, and if exists, then ( )f c

0

0

0

( ) ( )( ) lim

( ) ( )lim

( ) ( )lim

h

h

h

f c h f cf c

hf c h f c

hf c h f c

h

( ) 0f c

Proof: Assume f has a maximum

Page 12: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

( ) ( )f c h f c

( ) ( )0 if 0

f c h f ch

h

0

( ) ( )( ) lim 0 if 0

h

f c h f cf c h

h

Page 13: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

( ) ( )f c h f c

( ) ( )0 if 0

f c h f ch

h

0

( ) ( )( ) lim 0 if 0

h

f c h f cf c h

h

Page 14: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

( ) 0 and ( ) 0f c f c

Then ( ) 0f c

Page 15: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

The Absolute Value of x.( )f x x (0)f DNE

1 if 0( )

1 if 0

xf x

x

Page 16: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

Generic Example

-3 -2 -1 1 2 3 4 5 6

-1

1

2

3

4

5

6

7

8

x

y

( ) 0f x

( )f x DNE

The corresponding values of x are called Critical Points of f

Page 17: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

Critical Points of f

a. ( ) 0f c

A critical number of a function f is a number c in the domain of f such that

b. ( ) does not existf c(stationary point)

(singular point)

Page 18: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

Candidates for Relative Extrema

1.Stationary points: any x such that x is in the domain of f and f ' (x) 0.

2.Singular points: any x such that x is in the domain of f and f ' (x) undefined

3. Remark: notice that not every critical number correspond to a local maximum or local minimum. We use “local extrema” to refer to either a max or a min.

Page 19: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

Fermat’s Theorem

If a function f has a local maximum or minimum at c, then c is a critical number of f

Notice that the theorem does not say that at every critical number the function has a local maximum or local minimum

Page 20: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

Generic Example

-3 -2 -1 1 2 3 4 5 6

-1

1

2

3

4

5

6

7

8

x

y

( )

not a local extrema

f x DNE

Two critical points of f that donot correspond to local extrema

( ) 0

not a local extrema

f x

Page 21: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

Example

3 3( ) 3 .f x x x

2

233

1( )

3

xf x

x x

Find all the critical numbers of

0, 3x Stationary points: 1x Singular points:

Page 22: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

Graph of 3 3( ) 3 . f x x x

-2 -1 1 2 3

-3

-2

-1

1

2

x

y

Local max. 3( 1) 2f

Local min. 3(1) 2f

Page 23: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

Extreme Value TheoremIf a function f is continuous on a closed interval [a, b], then f attains an absolute maximum and absolute minimum on [a, b]. Each extremum occurs at a critical number or at an endpoint.

a b a ba b

Attains max. and min.

Attains min. but not max.

No min. and no max.

Open Interval Not continuous

Page 24: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

Finding absolute extrema on [a , b]

1. Find all critical numbers for f (x) in (a , b).

2. Evaluate f (x) for all critical numbers in (a , b).

3. Evaluate f (x) for the endpoints a and b of the interval [a , b].

4. The largest value found in steps 2 and 3 is the absolute maximum for f on the interval [a , b], and the smallest value found is the absolute minimum for f on [a , b].

Page 25: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

ExampleFind the absolute extrema of 3 2 1

( ) 3 on ,3 .2

f x x x

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

Critical values of f inside the interval (-1/2,3) are x = 0, 2

(0) 0

(2) 4

1 7

2 8

3 0

f

f

f

f

Absolute Max.

Absolute Min.Evaluate

Absolute Max.

Page 26: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

ExampleFind the absolute extrema of 3 2 1

( ) 3 on ,3 .2

f x x x

Critical values of f inside the interval (-1/2,3) are x = 0, 2

Absolute Min.

Absolute Max.

-2 -1 1 2 3 4 5 6

-5

Page 27: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

ExampleFind the absolute extrema of 3 2 1

( ) 3 on ,1 .2

f x x x

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

Critical values of f inside the interval (-1/2,1) is x = 0 only

(0) 0

1 7

2 8

1 2

f

f

f

Absolute Min.

Absolute Max.

Evaluate

Page 28: Section 4.1 Maximum and Minimum Values Applications of Differentiation.

-2 -1 1 2 3 4 5 6

-5

ExampleFind the absolute extrema of 3 2 1

( ) 3 on ,1 .2

f x x x

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

Critical values of f inside the interval (-1/2,1) is x = 0 only

Absolute Min.

Absolute Max.