Read this section to learn about maximums, minimums, and extreme values for functions. Work through practice problems 1-5.
Finding Maximums and Minimums of a Function
One way to narrow our search for a maximum value of a function is to eliminate those values of
which, for some reason, cannot possibly make
maximum.
Proof: Assume that . By definition,
, so
and the right and left limits are both positive:
and
.
Since the right limit, , is positive, there are values of
so
.
Multiplying each side of this last inequality by the positive , we have
and
so
is not a maximum.
Since the left limit, , is positive, there are values of
so
.
Multiplying each side of the last inequality by the negative , we have that
and
so
is not a minimum.'
The proof for the case is similar.
Example 1: Find the local extremes of for all values of
.
Solution: An extreme value of can occur only where
or where
is not differentiable.
so
only at
and
is
a polynomial, so
is differentiable for all
.
The only possible locations of local extremes of are at
and
. We don't know yet whether
or
is a local extreme of
, but we can be certain that no other point is a local
extreme. The graph of
(Fig. 4 ) shows that
is a local maximum and
is a local minimum. This function does not have a global maximum or minimum.
Practice 2: Find the local extremes of and
.
It is important to recognize that the conditions " " or "
not differentiable at a " do not guarantee that
is a local maximum or minimum. They only say that
might be a local extreme or that
is a candidate for being a local extreme.
Example 2: Find all local extremes of .
Solution: is differentiable for all
, and
. The only place where
is at
, so the only candidate is the point
. But if
then
, so
is not a local maximum. Similarly, if
then
so
is not a local minimum. The point
is the only candidate to be a local extreme of
, and this candidate did not turn out to be a local
extreme of
. The function
does not have any local extremes. (Fig. 5 )
Fig. 5
If or
is not differentiable at
then the point is a candidate to be a local extreme and may or may not be a local extreme.
Practice 3: Sketch the graph of a differentiable function which satisfies the conditions:
(i) and
,
(ii) and
,
(iii) the only local maximums of are at
and
, and the only local minimum is at
.
Is f(a) a Maximum or Minimum or Neither?
Once we have found the candidates for extreme points of
, we still have the problem of determining whether the point is a maximum, a minimum or neither.
One method is to graph (or have your calculator graph) the function near a, and then draw your conclusion from the graph. All of the graphs in Fig. 6 have , and, on each of the graphs,
either equals
or
is undefined. It is clear from the graphs that the point
is a local maximum in (a) and (d),
is a local minimum in (b) and (e), and
is not a local extreme in (c) and (f).
Fig. 6
In sections 3.3 and 3.4, we will investigate how information about the first and second derivatives of can help determine whether the candidate
is a maximum, a minimum, or neither.