Next: 12.4 The Mean Value
 Up: 12. Extreme Values of
 Previous: 12.2 A Nowhere Differentiable
     Index 
  12.10   
Definition (Maximum, minimum, extreme points.) 
Let 

 be a set, let 

 and let 

.  We say that 

 has
a 
maximum at 

 if
and we say that 

 has a 
minimum at 

 if
Points 

 where 

 has a maximum or a minimum are called 
extreme points
of 
.
 
  12.11   
Example. 
Let 
![$f\colon [0,1]\to\mbox{{\bf R}}$](img3164.gif)
 be defined by
  | 
(12.12) | 
 
Then 

 has a minimum at 

 and at 

, but 

 has no maximum.  To see that

has no maximum, observe that if 

 then 

and
If 

 is the function whose graph is shown, then 

 has a maximum at 

, and

has minimums at 

 and 

.
 
  12.13   
Assumption (Extreme value property.) 
If 

 is a continuous function on the
interval 
![$[a,b]$](img1071.gif)
, then 

 has a maximum and a minimum on 
![$[a,b]$](img1071.gif)
.
 
The extreme value property is another assumption that is really a theorem,
(although the proof requires yet another assumption, namely completeness
of the real numbers.)
The following exercise shows that all of the hypotheses
of the extreme value property are necessary.
  12.14   
Exercise. 
A
 
- a)
 
- Give an example of a continuous function 
 on 
 such that
 has no maximum on 
.
 
- b)
 
- Give an example of a bounded continuous function 
 on 
the closed interval 
,
such that 
 has no maximum on 
 
- c)
 
- Give an example of a function 
 on 
 such that 
 has
no maximum on 
.
 
- d)
 
- Give an example of a continuous function 
 on
 that has neither a maximum nor a minimum on 
,
or else explain why no such function exists.
 
 
  12.15   
Exercise. 
A
 
- a)
 
- Show that every continuous function from an interval 
 to
 is bounded. (Hint: Use the extreme value property,)
 
- b)
 
- Is it true that every continuous function from an open interval
to 
 is bounded?
 
- c)
 
- Give an example of a function from 
 to 
 that is not
bounded.
 
 
  12.16   
Definition (Critical point, critical set.) 
Let 

 be a real valued function such that 

.  A point

 is called a 
critical point for 
 if 

. 
The set of critical points for 

 is the 
critical set for 

.  The
points 

in the critical set for 

 correspond to points 

 where the
graph of 

 has a horizontal tangent.
 
  12.17   
Theorem (Critical point theorem I.) Let 
 be a real valued function with 
.  Let 
. 
If 
 has a maximum (or a minimum) at 
, and 
 is differentiable at 
,
then
. 
Proof:  We will consider only the case where 
 has a maximum.  Suppose 
has a
maximum at 
 and 
 is differentiable at 
.  Then 
 is an interior point
of
 so we can find sequences 
 and 
 in 
 such that 
, 
, 
 for all 
,
and 
 for all 
. 
Since 
 has a maximum at 
, we have
 and 
 for all 
.  Hence
Hence by the inequality theorem for limits,
It follows that 
. 
  12.18   
Definition (Local maximum and minimum.) 
Let 

 be a real valued function whose domain is a subset of 

.  Let

.  We say that 

 has a 
local maximum at 

 if there is a positive
number 

 such that
and we say that 

 has a 
local minimum at 

 if there is a positive
number

 such that
Sometimes we say that 

 has a 
global maximum at 
 to mean that 

has a
maximum at 

, when we want to emphasize that we do not mean local maximum. 
If 

 has a local maximum or a local minimum at 

 we say 

 has a 
local extreme point at 

.
 
  12.19   
Theorem (Critical point theorem II.) Let 
 be a real valued function with 
.  Let 
. 
If 
 has a local maximum or minimum at 
, and 
 is differentiable at 
,
then
.
 
Proof:  The proof is the same as the proof of theorem 12.17.
From the critical point theorem, it follows that to investigate the extreme
points
of 
, we should look at critical points, or at points where 
 is not
differentiable (including endpoints of domain 
).
  12.21   
Example. 
Let 

 for 

.  Then 

 is differentiable everywhere
on

 except at 

 and 

.  Hence, any local extreme points are
critical
points of 

 or are in 

.  Now
From this we see that the critical set for 

 is 

.  Since 

 is a
continuous function on a closed interval 
![$[-2,2]$](img3194.gif)
 we know that 

 has a
maximum and a minimum on 
![$[-2,2]$](img3194.gif)
.  Now
Hence 

 has global maxima at 

 and 

, and 

 has global minima at 

and

.  The graph of 

 is shown.
 
  12.22   
Example. 
Let 
Here 

 and clearly 

 for all 

.  I can see by inspection
that

 has a maximum at 

; i.e.,
I also see  that 

, and that 

 is strictly decreasing on 
thus 

 has no local extreme points other than 

.  Also 

is very small when 

 is large.  There is no point in calculating the critical
points here because all the information about the extreme points is apparent
without the calculation.
 
 
 
  
 
 Next: 12.4 The Mean Value
 Up: 12. Extreme Values of
 Previous: 12.2 A Nowhere Differentiable
     Index 
Ray Mayer
2007-09-07