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Subsections
Suppose that 
 is a differentiable function. Then we
know that the value of 
 gives the slope of the tangent
line at 
. Geometrically, the slope of the tangent line at a
particular point 
 tells us whether the value of the function is
increasing, decreasing, or staying the same as we look at 
values of 
 near 
. In applications, one is often trying to find
the minimum or maximum values of a function so it turns out to be
important to be able to determine when a function is increasing and
when it is decreasing. Mathematically, we say that a function is
increasing on an interval 
 if 
 means 
for every pair of numbers 
 in 
. Conversely, we we say that
a function is 
decreasing on an interval 
 if 
 means 
for every pair of numbers 
 in 
. These are the definitions
of increasing and decreasing functions, but they are not very easy to
apply. Most often, we use the first derivative as described in the
following theorem.
This theorem says that we can determine when a function is
increasing or decreasing by solving the inequalities 
 and
. In practice, we usually work with functions having
continuous derivatives, which means that 
 can change sign only at
a point where 
. For example, consider 
. The
derivative is 
, which is zero only at 
. This critical
point divides the real line up into two intervals, 
 and
. Since 
 can never be zero if 
, the sign of 
is constant on each interval. That is for 
 we have 
 so 
 is decreasing for 
. Similarly, 
 is increasing for
. This suggests the following procedure for determining where a
function is increasing or decreasing.
- Find the critical points of 
. Note that according to the
definition in the text, critical points of 
 are points where either
 is zero, the derivative doesn't exist, or endpoints of 
 if 
is defined on a finite interval 
.
 
- The critical points divide the domain of 
 into subintervals
on which the sign of 
 is constant. Check the sign of 
 at one
interior point on each subinterval. If it is positive, 
 is
increasing on that subinterval. If it is negative, 
 is decreasing
on that subinterval. 
 
The second derivative, 
 also provides
information about the shape of the curve in terms of what is called
 concavity. Concavity can also be defined in several ways. Geometrically,
it can be said that the graph of 
 is concave up near a point
 if the tangent line at 
 lies below the graph of 
 on some
open interval containing 
 and is concave up if the tangent line
lies above the graph of 
 on some open interval containing
. Algebraically, concavity is most often defined by saying that 
is concave up on an interval 
 if 
 is increasing on 
 and is
concave down on 
 if 
 is decreasing on 
. Using the theorem
above and remembering that 
 is the derivative of 
 gives the
following result.
This means that we can find where 
 is concave up and concave down
using the same procedure on 
 that we used on
. That is, we first find all of values of 
 for which 
, or
 doesn't exist. Including the endpoints, if our domain is a
finite interval, these values of 
 are the endpoints of distinct
subintervals on which the sign of 
 is constant. Checking the sign
of 
 at one point in the interior of each subinterval determines
the concavity of 
 on that subinterval.
Remember also that the second derivative can be helpful in determining
local maximums and local minimums.  That is, if you find a critical 
value, where 
 or is undefined, then substitute the critical
value into the second derivative.  If the second derivative is
positive, then there is a relative minimum there and if the second
derivative is negative, then there is a relative maximum there.   
The Maple commands that are most useful are the ones for plotting
functions, taking derivatives, and solving equations. By plotting the
function and/or its derivatives, you can get a very good idea of where
it is increasing/decreasing and where it is concave up/concave
down. Then using the solve or fsolve commands
you can find the values of 
 where 
 or 
. Finally,
you can use Maple to check the signs of 
 or 
 in the interior
of the subintervals.  The example below shows how you can use Maple to
find intervals where the function 
 is increasing and
decreasing. 
> f := x-> x^3-3*x+1;
> plot(f(x),x=-3..3);
> solve(D(f)(x)=0,x);
> D(f)(-2);
> D(f)(0);
> D(f)(2);
The plot helps to see how many critical values you have.  The
solve command shows that there are critical values at 
and 
 which means that the intervals can be broken up into
, 
, and 
.  Remember that if
solve doesn't work or doesn't find all critical values, you
can use the fsolve command specifying ranges for 
 in which
to solve.  Then chosing a point in each interval, we can see that the
value of the derivative is positive at 
 which implies that the
function is increasing on the interval 
.  We can also
use the second derivative test to classify 
 and 
 as
relative maximum or relative minimum.  See the Maple commands below to
help you do this. 
> D[1,1](f)(-1);
> f(-1);
> D[1,1](f)(1);
> f(1);
As you can see, the value of the second derivative at 
 is
negative implying that 
 is a relative maximum.  The value of
the second derivative at 
 is positive which means that 
is a relative minimum. 
- For the function 
, find
  the intervals on which 
 is increasing and the intervals on which
  it is decreasing.  
 
- For the function 
, 
- Plot 
 over the interval 
.
 
- Find all critical values.
 
- Find corresponding 
 values for each critical value.
 
- Classify each point as a relative maximum or a relative minimum
  using the second derivative test.  
 
 
- Find the absolute extrema for the function 
 on the closed interval 
. 
 
 
 
   
 Next: About this document ...
Up: lab_template
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William W. Farr 
2002-10-01