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Mathematical Expression Editor
We use derivatives to help locate extrema.
Whether we are interested in a function as a purely mathematical object or in
connection with some application to the real world, it is often useful to know
what the graph of the function looks like. We can obtain a good picture of
the graph using certain crucial information provided by derivatives of the
function.
Extrema
A function has a value at each domain number. The set of all function values might
have a greatest (maximum) or least(minimum) value. Together these are know as
extreme values or extrema. These correspond to highest and lowest points on the
graph.
A local extremum of a function corresponds to a point on the graph of where the
-coordinate is larger (or smaller) than all other -coordinates of points on the graph
whose -coordinates are “close to” .
(a)
A function has a local maximum at , if for every in some open interval
I containing .
(b)
A function has a local minimum at , if for every in some open interval
I containing .
A local extremum is either a local maximum or a local minimum.
Local extremum are numbers and they correspond to highest and lowest points on
the graph.
In our next example, we clarify the definition of a local minimum.
Consider the graph
of a function :
Identify the local extrema of and give an explanation.
In the figure above the
function has a local minimum at, because we can find an open interval (marked in
the figure) that contains the number and for all numbers in the following statement
is true:
Local maximum and minimum values of a function correspond to quite distinctive
points on the graph of a function, and are, therefore, useful in understanding the
shape of the graph. Many problems in real world and in different scientific fields turn
out to be about finding the smallest (or largest) value that a function achieves (for
example, we might want to find the minimum cost at which some task can be
performed).
Critical Numbers
Consider the graph of the function .
The function has three local extremums: , , and These occur at , and .
Notice that the function is not differentiable at and . Notice that and
.
After this example, the following theorem should not come as a surprise.
Fermat’s Theorem If has a local extremum at and is differentiable at , then
.
Does Fermat’s Theorem say that if , then has a local extrema at ?
yesno
Consider , , but does not have a local maximum or minimum at .
Fermat’s Theorem says that the only numbers at which a function can have a local
maximum or minimum are numbers at which the derivative is zero or the derivative
is undefined. As an illustration of the first scenario, consider the plots of and .
Make a correct choice that completes the sentence below.
At the number , the function has
a local maximuma local minimumno local extremum
Select the correct statement.
is undefined
Make a correct choice that completes the sentence below.
At the number , the function has
a local maximuma local minimumno local extremum
Select the correct statement.
is undefined
Make a correct choice that completes the sentence below.
At the number , the function has
a local maximuma local minimumno local extremum
Select the correct statement.
is undefined
As an illustration of the second scenario, consider the plots of and :
Make a correct choice that completes the sentence below.
At the number , the function has
a local maximuma local minimumno local extremum
Select the correct statement.
is undefined
Make a correct choice that completes the sentence below.
At the number , the function has
a local maximuma local minimumno local extremum
Select the correct statement.
is undefined
This brings us to our next definition.
Assume that a function is defined on an open interval I that contains a number .
Then we say that the function has a critical number at if Notice, if a function
has a critical number at , then the number is inside some open interval , and is in
the domain of .
When looking for local maximum and minimum numbers, be careful not to make two
sorts of mistakes:
You may forget that a maximum or minimum can occur where the
derivative does not exist, and so forget to check whether the derivative
exists everywhere.
You might assume that any place that the derivative is zero is a local maximum
or minimum number, but this is not true, consider the plots of and .
While , there is neither a maximum nor minimum at .
Since both local maximum and local minimum occur at a critical number, when we
locate a critical number, we need to determine which, if either, actually occurs.
Find all local maximum and minimum numbers for the function .
Write
We can easily express as a product of its factors which implies that the
function has only two critical numbers, and . Notice that the derivative
is a polynomial, and polynomials do not change signs except possibly at
their zeros. This implies that derivative does not change the sign on
the intervals , , and , because these intervals do not contain any zeros of
.
Select the correct statement about the sign of on the intervals and .
on and on . on in and on . on and on . on and on
If we know the sign of the derivative on an interval, we also know whether the
function is increasing or decreasing on that interval. This will help us determine
whether the function has a local extremum at the critical number where .
At the critical number where , the function has
no local extremum, because is increasing on and increasing on . a local
maximum, because is increasing on and decreasing on . a local minimum,
because is decreasing on and increasing on . no local extremum, because is
decreasing on and decreasing on .
Select the correct statement about the sign of on the intervals and .
on and on . on and on . on and on . on and on .
Again, the sign of the derivative on an interval determines whether the
function is increasing or decreasing on that interval. This will help us determine
whether the function has a local extremum at the critical number where .
At the critical number where , the function has
no local extremum, because is increasing on and increasing on . a local
maximum, because is increasing on and decreasing on . a local minimum,
because is decreasing on and increasing on . no local extremum, because is
decreasing on and decreasing on .
Do your answers agree with the graphs of and given in the picture below?
The first derivative test
We will further explore and refine the method of the previous section for deciding
whether there is a local maximum or minimum at a critical number. Recall that
If on an interval, then is increasing on that interval.
If on an interval, then is decreasing on that interval.
So how exactly does the derivative tell us whether there is a maximum, minimum, or
neither at a number? Use the first derivative test.
First Derivative Test Suppose that is continuous on an open interval, and that has a
critical number at , for some value in that interval.
If to the left of and to the right of , then is a local maximum.
If to the left of and to the right of , then is a local minimum.
If has the same sign to the left and right of , then is not a local extremum.
Consider the function Find the intervals on which is increasing, the intervals on
which is decreasing and identify the local extrema of .
Start by computing Now we need to find on what intervals is positive and what intervals
it is negative. To do this, solve Factor
So the critical numbers (when ) are when , , and . Since the derivative, , is a
polynomial, it does not change the sign on intervals between its zeros, i.e.,
between the critical numbers. Now we can check the sign of at some numbers
between the critical numbers to find where is positive and where negative:
From this we can make a sign table:
Hence is increasing on and and is decreasing on and . Moreover, from the first
derivative test, the local maximum is at while the local minimums are at and
.
This can be confirmed by checking the graphs of and .
Hence we have seen that if is zero at a number and increasing on an interval
containing that number, then has a local minimum at the number. If is
zero at a number and decreasing on an interval containing that number,
then has a local maximum at the number. Thus, we see that we can gain
information about by studying how changes. This leads us to our next
section.
Inflection points
If we are trying to understand the shape of the graph of a function, knowing where it
is concave up and concave down helps us get a more accurate picture. It is worth
summarizing what we have seen already in to a single theorem.
Test for Concavity Suppose that exists on an interval.
(a)
If on an interval, then the graph of is concave up on that interval.
(b)
If on an interval, then the graph of is concave down on that interval.
Of particular interest are points at which the concavity changes from up to down or
down to up.
If is continuous at and its graph’s concavity changes either from up to
down or down to up at , then the graph of has an inflection point at
.
It is instructive to see some examples of inflection points:
It is also instructive to see some nonexamples of inflection points:
We identify inflection points by first finding such that is zero or undefined and then
checking to see whether does in fact go from positive to negative or negative to
positive at these numbers.
Even if , the point determined by might not be an inflection point.
Describe the concavity of the graph of .
To start, compute the first and second derivative of with respect to ,
Since , there is potentially an inflection point at . But, for any , . Hence there is no
inflection point at . The curve is concave up for all and remains concave up for all
.
Describe the concavity of the graph of .
To start, compute the first and second derivative of with respect to , Since , there is
potentially an inflection point at . Using test points, we note the concavity does
change from down to up, hence there is an inflection point at . The curve
is concave down for all and concave up for all , see the graphs of and .
Note that we need to compute and analyze the second derivative to understand
concavity, so we may as well try to use the second derivative test for maxima
and minima. If for some reason this fails we can then try one of the other
tests.
The second derivative test
Recall the first derivative test:
If for all that are near and less than and for all that are near and
greater than , then is a local maximum.
If for all that are near and less than and for all that are near and
greater than , then is a local minimum.
Let be a critical number such that . If happens to be decreasing on some interval
containing , then it changes from positive to negative at . Therefore, if is negative on
some interval that contains , then is definitely decreasing, so there is a local
maximum at the number in question. On the other hand, if is increasing,
then it changes from negative to positive at . Therefore, if is positive on
an interval that contains , then is definitely increasing, so there is a local
minimum at the number in question. We summarize this as the second derivative
test.
Second Derivative Test Suppose that is continuous on an open interval and that for
some value of in that interval.
If , then has a local maximum at .
If , then has a local minimum at .
If , then the test is inconclusive. In this case, may or may not have a local
extremum at .
The second derivative test is often the easiest way to identify where in the domain
local maximum and minimum occur. Sometimes the test fails and sometimes the
second derivative is quite difficult to evaluate. In such cases we must fall back on one
of the previous tests.
Once again, consider the function Use the second derivative test to locate the local
extrema of .
Start by computing Using the same technique as we used before, we find that Now
we’ll attempt to use the second derivative test, Hence we see that has a local
minimum at , a local maximum at , and a local minimum at , see below for a plot of
and :
If , what does the second derivative test tell us?
The function has a local
extremum at .The function does not have a local extremum at .It
gives no information on whether the function has a local extremum at .