We will discuss the occurrence of local maxima and local minima of a function. In fact, these points are crucial to many questions related to optimization problems. We will discuss these problems in later pages.
Definition. A function f(x) is said to have a local
maximum at c iff there exists an interval I around c such
that
![]() |
Using the definition of the derivative, we can easily show that:
If f(x) has a local extremum at c, then either
![]() These points are called critical points. |
Example. Consider the function f(x) = x3. Then f'(0) = 0 but 0 is not a local extremum. Indeed, if x < 0, then f(x) < f(0) and if x > 0, then f(x) > f(0).
![]() |
Therefore the conditions
Example. Let us find the critical points of
Let c be a critical point for f(x). Assume that there exists
an interval I around c, that is c is an interior point of
I, such that f(x) is increasing to the left of c and
decreasing to the right, then c is a local maximum. This
implies that if
for
(x close to c),
and
for
(x close to c), then c is
a local maximum. Note that similarly if
for
(x close to c), and
for
(x close to c), then c is a local minimum.
So we have the following result:
First Derivative Test. If c is a critical point for f(x), such that f '(x) changes its sign as x crosses from the left to the right of c, then c is a local extremum. |
Example. Find the local extrema of
![]() |
Let c be a critical point for f(x) such that f'(c) =0.
|
Example. Find the local extrema of
![]() |
Exercise 1. Find the local extrema of
Exercise 2. Find the local extrema of
Do you need more help? Please post your question on our
S.O.S. Mathematics CyberBoard.
S.O.S MATHematics home page
Helmut Knaust
Contact us
Math Medics, LLC. - P.O. Box 12395 - El Paso TX 79913 - USA
users online during the last hour