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By Rick Stoll |
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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
Analogously, f(x) is said to have a local minimum at c iff there exists an interval I around c such that
A local extremum is a local maximum or a local minimum.
Using the definition of the derivative, we can easily show that:
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
do not imply in general that c is a local extremum. So a local extremum must occur at a critical point, but the converse may not be true. Example. Let us find the critical points of
f(x) = |x2-x|
Answer. We have
Clearly we have
Clearly we have
Also one may easily show that f'(0) and f'(1) do not exist. Therefore the critical points are
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
So we have the following result:
Example. Find the local extrema of
f(x) = |x2-x|
Answer. Since the local extrema are critical points, then from the above discussion, the local extrema, if they exist, are among the points
Recall that
Example. Find the local extrema of
f(x) = x5 - 5 x.
Answer. First let us find the critical points. Since f(x) is a polynomial function, then f(x) is continuous and differentiable everywhere. So the critical points are the roots of the equation f'(x) = 0, that is 5x4 - 5 = 0, or equivalently x4 - 1 =0. Since x4 - 1 = (x-1)(x+1)(x2+1), then the critical points are 1 and -1. Since f''(x) = 20 x3, then
The second-derivative test implies that x=1 is a local minimum and x= -1 is a local maximum.
Exercise 1. Find the local extrema of
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