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  12.24   
Lemma (Rolle's Theorem) 
Let 
 be real numbers with 
 and let 
 be a
function that is continuous on 
 and differentiable on 
.  Suppose
that
.  Then there is a point 
 such that 
.
 
Proof:  By the extreme value property, 
 has a maximum at some point 
.  If 
, then 
 by the critical point theorem. 
Suppose 
.  By the extreme value property, 
 has a minimum at
some point 
.  If 
 then 
 by the critical
point
theorem.  If 
, then we have 
 so
.  Hence in this case the maximum value and the minimum value taken by
are equal, so 
 for 
 so 
 for all 
. 
Rolle's theorem is named after Michel Rolle (1652-1719).  An English
translation of
Rolle's original statement and proof of the theorem can be found in [43, pages
253-260].  It takes a considerable effort to see any relation between
what
Rolle says and what our form of Rolle's theorem says.
  12.25   
Theorem (Mean value theorem.) 
Let 
 be real numbers and let 
 be a function that is
continuous on 
 and differentiable on 
. Then there is a point
 such that 
; i.e.,
 there
is a point
 where the slope of the tangent line is equal to the slope of the line
joining
 to 
.
 
Proof:  The equation of the line joining 
 to
is
Let 
Then 
 is continuous on 
 and differentiable on 
 and
. 
By Rolle's theorem there is a point 
 where 
.
Now 
so
  12.26   
Corollary.
Let 
 be an interval in 
 and let 
 be a function that is
continuous on 
 and differentiable at the interior points of 
.  Then
 
Proof:  I will prove the second assertion.  Suppose 
 for all
.  Let 
 be points in 
 with 
.  Then by the mean value
theorem 
Since 
 and 
, we have 
; i.e., 
.  Thus 
 is decreasing on 
  12.27   
Exercise. 
A
Prove the first assertion of the previous corollary; i.e., prove that if

is continuous on an interval 

, and 

 for all 

,
then

 is constant on 

.
 
  12.28   
Definition (Antiderivative) 
Let 

 be a real valued function with 

.  Let 

 be an
interval such that 

.  A function 

 is an 
antiderivative for 
 on 

 if 

 is continuous on 

 and 

 for all 

 in
the interior of 

.
 
  12.29   
Examples. 
Since 

, we see that 

 is an
antiderivative for 

. 
Since
and
we see that 

 and 

 are 
both antiderivatives for 

.
 
We will consider the problem of finding antiderivatives in chapter
17. Now I just want to make the following observation:
  12.31   
Exercise. 
A
Prove the antiderivative theorem.
 
  12.32   
Definition (Even and odd functions.) 
A subset 

 of 

 is called 
symmetric if 

.  A
function 

 is said to be 
even if 

 is a symmetric subset of
 
and
and 

 is said to be 
odd if 

 is a symmetric subset of 

and 
.
 
  12.33   
Example. 
If 

 and 

, then 

 is even if 

 is even, and 

is odd if 

 is odd.  Also 

 is an even function and 

 is an odd
function,
while 

 is neither even or odd.
 
  12.34   
Example. 
If 

 is even, then 

 where

 is
the reflection about the vertical axis.  If 

 is odd, then 

 where 

 is a rotation by 

 about the
origin.
 
  12.35   
Exercise. 
A
Are there any functions that are both 
even and odd?
 
  12.36   
Exercise. 
A
- a)
 
- If 
 is an arbitrary even differentiable
function, show that the derivative of 
 is odd.
 
- b)
 
- If 
 is an arbitrary odd differentiable
function, show that the derivative of 
 is even.
 
 
 
 
  
 
 Next: 13. Applications
 Up: 12. Extreme Values of
 Previous: 12.3 Maxima and Minima
     Index 
Ray Mayer
2007-09-07