Graphing & Optimizing Continuous Functions: Critical Points, Extrema, Asymptotes, Concavit, Study notes of Calculus

A comprehensive review of the concepts and techniques used to analyze and graph continuous functions. Topics covered include critical points, absolute and local extrema, monotonicity, concavity, and asymptotes. The document also includes a scheme for graphing functions and an introduction to optimization using rolle's theorem, the mean value theorem, and taylor polynomials.

Typology: Study notes

Pre 2010

Uploaded on 12/12/2006

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Test 3 Review
Sections 3.11, 4.1 - 4.3, 4.5, 4.7
Critical points
Where f โ€™(x)=0 or f โ€™(x) is undefined (must be in the domain of f (x)).
Absolute extrema
A continuous function on a closed interval always has an absolute max and an absolute min.
Absolute extrema may occur at critical points or endpoints.
Test critical points and endpoints in function.
Local extrema
Occur at critical points
First derivative test:
Where f โ€˜(x) changes from + to โ€“ f(x) has a local max
Where f โ€˜(x) changes from โ€“ to + f(x) has a local min
Second derivative test:
If f โ€˜(a) = 0 and
f โ€œ(a) > 0, f(a) is a local min
f โ€œ(a) < 0, f(a) is a local max
Monotonicity
f(x) increasing when f โ€˜(x) > 0
f(x) decreasing when f โ€˜(x) < 0
Concavity
f(x) concave up when f โ€œ(x) > 0
f(x) concave down when f โ€œ(x) < 0
f(x) has a point of infection at x = a if
f(x) changes concavity at x = a and x = a is in the domain of f(x)
Asymptotes
Vertical Asymptotes
x= a is a VA of f(x) if ยฑโˆž=
ยฑ
โ†’
)(lim xf
ax
Horizontal Asymptotes
y = b is a HA of f(x) if bxf
x
=
ยฑโˆžโ†’ )(lim
Scheme for Graphing
a) Determine the Domain.
b) Determine the asymptotes (vertical, horizontal).
c) Determine the x- and y- intercepts.
d) Determine the critical point(s) (Set fโ€™=0 and undefined).
e) Determine the intervals where the function f is increasing/decreasing.
f) Determine the local extrema.
g) Determine the possible point(s) of inflection (Set fโ€=0 and undefined).
h) Determine the intervals where the function f is concave up/down.
i) Determine the inflection point(s).
j) Sketch the graph using the information obtained above.
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Test 3 Review

Sections 3.11, 4.1 - 4.3, 4.5, 4.

Critical points Where f โ€™(x)=0 or f โ€™(x) is undefined (must be in the domain of f (x)).

Absolute extrema A continuous function on a closed interval always has an absolute max and an absolute min. Absolute extrema may occur at critical points or endpoints. Test critical points and endpoints in function.

Local extrema Occur at critical points First derivative test: Where f โ€˜(x) changes from + to โ€“ f(x) has a local max Where f โ€˜(x) changes from โ€“ to + f(x) has a local min Second derivative test: If f โ€˜(a) = 0 and f โ€œ(a) > 0, f(a) is a local min f โ€œ(a) < 0, f(a) is a local max

Monotonicity f(x) increasing when f โ€˜(x) > 0 f(x) decreasing when f โ€˜(x) < 0

Concavity f(x) concave up when f โ€œ(x) > 0 f(x) concave down when f โ€œ(x) < 0 f(x) has a point of infection at x = a if f(x) changes concavity at x = a and x = a is in the domain of f(x)

Asymptotes Vertical Asymptotes

x= a is a VA of f(x) if ยฑ =ยฑโˆž

โ†’

lim f ( x )

x a Horizontal Asymptotes

y = b is a HA of f(x) if f x b

x

โ†’ ยฑโˆž

lim ( )

Scheme for Graphing a) Determine the Domain. b) Determine the asymptotes (vertical, horizontal). c) Determine the x- and y- intercepts. d) Determine the critical point(s) (Set fโ€™=0 and undefined). e) Determine the intervals where the function f is increasing/decreasing. f) Determine the local extrema. g) Determine the possible point(s) of inflection (Set fโ€=0 and undefined). h) Determine the intervals where the function f is concave up/down. i) Determine the inflection point(s). j) Sketch the graph using the information obtained above.

Linearization L(x) = f(a) + f โ€˜(a) (x-a) is the equation of the tangent line to f(x)at a โ€“ called the standard approximating function, linearization of f(x) at a Differentials dx is an independent variable dy = f โ€˜(x) dx Uses: approximate the curve f(x) estimate change in area or volume evaluate an error in measurement

Optimization Scheme:

  1. Draw and label a picture
  2. Indicate - Given:, Find:
  3. Set up an equation to be maximized or minimized ( 2 variables)
  4. Use givens to put equation in terms of one variable and find the domain
  5. Take the derivative
  6. Use second derivative test or absolute extrema test to ensure max or min
  7. Find corresponding values

Rolleโ€™s Theorem

Let f be a function that satisfies the following three hypotheses:

  1. f is continuous on the closed interval [a,b].
  2. f is differentiable on the open interval (a,b).
  3. f(a)=f(b) Then there is a number c in (a,b) such that fโ€™(c) =0.

The Mean Value Theorem

Let f be a function that satisfies the following hypotheses:

  1. f is continuous on the closed interval [a,b].
  2. f is differentiable on the open interval (a,b).

Then there is a number c in (a,b) such that f ' ( ) c =

f ( b ) โˆ’ f ( ) a

b โˆ’ a

or, equivalently f b ( ) โˆ’ f a ( ) = f ' ( ) c ( b โˆ’ a ).

Taylor Polynomials

n th^ degree Taylor Polynomial of f centered at x = a is:

Pn ( x ) = f ( a ) + f โ€ฒ( a )( x โˆ’ a ) +

f โ€ฒโ€ฒ( a )

( x โˆ’ a )

2

f (3)^ ( a )

( x โˆ’ a )

3

f ( n )^ ( a )

n!

( x โˆ’ a )

n