Chapter 51 Absolute Global Extreme Values Up to now we have used the derivative in applications to find rates of change However we are not limited to the rateofchange interpretation of the derivative ID: 477429
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Slide1
Extreme Values of Functions
Chapter 5.1Slide2
Absolute (Global) Extreme Values
Up to now we have used the derivative in applications to find rates of change
However, we are not limited to the rate-of-change interpretation of the derivative
In this section you will learn how we can use derivatives to find extreme values of functions (that is maximum or minimum values)
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Definition of Extreme Values on an Interval
DEFINITION:
Let
be defined on an interval
containing
.
is the minimum of on if for all in is the maximum of on if for all in The minimum and maximum of a function on an interval are the extreme values or extrema (plural of extremum), of the function on the interval. The minimum and maximum of a function on an interval are also called the absolute minimum and absolute maximum. They are also sometimes called the global minimum and global maximum.
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Definition of Extreme Values on an Interval
The definition given is slightly different than the one given in your textbook
Most of the time we are only concerned with extreme values
in an interval, rather than on the entire domain (many functions have neither absolute maxima nor absolute minima over the entire domain)
Over an interval, extrema can occur either in the interior or at the endpoints
It is possible for a function to have no extrema on an interval
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Definition of Extreme Values on an Interval
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Definition of Extreme Values on an Interval
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Definition of Extreme Values on an Interval
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Example 1: Exploring Extreme Values
Use the graphs of
and
on
to determine absolute maxima and minima (if any).
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Example 1: Exploring Extreme Values
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The Extreme Value Theorem
THEOREM:
If
is continuous on a closed interval
, then
has both a maximum value and a minimum value on the interval.
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The Extreme Value Theorem
The proof of this theorem requires more advanced calculus, so we will take the theorem as given
Note that continuity is a requirement of the proof; if we know that the function is not continuous on a given interval, then we cannot use the theorem
In plain words, this tells us that a function is
guaranteed
to have both a maximum and a minimum value on a closed interval (if continuous)
These extrema may be either at the endpoints of the interval or the interior of the interval11Slide12
The Extreme Value Theorem
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The Extreme Value Theorem
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The Extreme Value Theorem
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The Extreme Value Theorem
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Local (Relative) Extrema
In addition to absolute (or global) extrema, which are always the greatest/least function value on an interval, we will want to define relative (local) extrema
These occur when “nearby” values are all less (for a relative maximum) or greater (for a relative minimum)
Relative extrema may also be absolute extrema, but not all relative extrema are absolute extrema (but all absolute extrema are also relative extrema)
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Local (Relative) Extrema
DEFINITION:
Let
be an interior point of the domain of the function
. Then
is a
local maximum value at if and only if for all in some open interval containing local minimum value at if and only if for all in some open interval containing A function has a local maximum or local minimum at an endpoint if the appropriate inequality holds for all in some half-open interval containing 17Slide18
Local (Relative) Extrema
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Local (Relative) Extrema
19
Relative extrema in the interior of an interval occur at points where the graph of a function changes direction (from increasing to decreasing, or vice versa)
We would like to be able to find both absolute and relative extrema for a function over a closed interval
To narrow down the possibilities for the interior of an interval, we can ask, “is there anything about relative extrema by which we can identity them?”Slide20
Critical Point
DEFINITION:
Let
be a function defined over some interval
. A point
, where
is in the interior of , at which or is not differentiable is called a critical point of .The number in the interval is called a critical number of . 20Slide21
Critical Point
Note that critical points occur where either
is zero
is not differentiable
The next theorem (not in your text and presented without proof) gives us an answer to our previous question
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Relative Extrema Occur Only at Critical Numbers
THEOREM:
If
has a relative minimum or relative maximum at
, then
is a critical number of
(and is a critical point of ). 22Slide23
Relative Extrema Occur Only at Critical Numbers
This theorem joins the definition of a critical number with the definition of relative extrema
Specifically, it says that
relative extrema occur only at critical numbers
Therefore, to find relative extrema, we need only find critical numbers, which occur where either
is zero or where
is not differentiableHowever, we must be clear about what it does not say: it does not say that, if we find a critical number, then we have found a relative extremum 23Slide24
Relative Extrema Occur Only at Critical Numbers
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Finding Absolute Extrema
We now have enough understanding to be able to find the absolute extrema on a closed interval
If we have a closed interval, the Extreme Value Theorem guarantees that there exist both an absolute maximum and absolute minimum in the interval
These absolute extrema may occur at either the endpoints or in the interior
If absolute extrema occur in the interior, then they occur at relative extrema (which, in turn, occur at critical numbers)
To find absolute extrema, we will first find relative extrema in the interior (i.e., find critical numbers), evaluate the function at this
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Finding Absolute Extrema
To find absolute extrema
We will first find relative extrema in the interior (i.e., find critical numbers)
Evaluate the function at all critical numbers
Evaluate the function at its endpoints
Compare these values; the largest of these is the absolute maximum and the smallest is the absolute minimum
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Example 3: Finding Absolute Extrema
Find the absolute maximum and minimum values of
on the interval
.
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Example 3: Finding Absolute Extrema
Find the absolute maximum and minimum values of
on the interval
.
Find the critical numbers by taking the derivative:
Critical numbers occur where
is zero or where is not differentiable. Note that is never zero. However, is not defined at , which means that is not differentiable at , by our definition, is a critical number (and
is a critical point). Now, check the function values at
,
, and
:
The maximum is approximately 2.08 and occurs at
; the minimum is 0 and occurs at
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Example 3: Finding Absolute Extrema
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Example 4: Finding Extreme Values
Find the extreme values of
.
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Example 4: Finding Extreme Values
Find the extreme values of
.
First note that no interval is provided. From the function it is clear that the domain is
. Since this is not a closed interval, we cannot conclude that the function has both an absolute minimum and absolute maximum. We differentiate to find critical numbers:
We have that
if
and this is the only critical number because critical numbers are only
interior
values of an interval. The critical point occurs at
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Example 4: Finding Extreme Values
Find the extreme values of
.
How can we know whether
is a maximum, minimum, or neither? If
, then the denominator of
decreases, so its reciprocal increases. The same is true if . This means that, for all , and by definition this means that we have an absolute minimum at .Is there an absolute maximum? As approaches 2 from the left, the denominator approaches zero, so the function approaches infinity. The same is true as approaches from the right. So this function has no maximum value. 32Slide33
Example 4: Finding Extreme Values
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Example 5: Finding Local Extrema
Find the local extrema of
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Example 5: Finding Local Extrema
Find the local extrema of
This function cannot have absolute extrema since function values continue increasing to the right of 1, and continue decreasing to the left of 1. What about local (relative) extrema? We differentiate
by differentiating the two pieces of the function. But we must determine whether the function is differentiable at
. To do this, find the left- and right-hand derivatives:
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Example 5: Finding Local Extrema
Find the local extrema of
The derivatives are different, so
is not differentiable at
.
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Example 5: Finding Local Extrema
Find the local extrema of
So our derivative is
Therefore we have critical points at
and
. Since the function piece defined for
is a parabola that opens down, then
must be a local maximum.
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Example 5: Finding Local Extrema
We can determine how to classify the critical point
by examining what happens to the function values at
on either side of (but near)
. To the left of
, note that
, , ; in general, these nearby values are greater than 3. To the right of : , , ; in general, these nearby values are greater than 3. So we have, that for values near
so by definition,
occurs at a local minimum.
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Example 5: Finding Local Extrema
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Example 6: Finding Local Extrema
Find the local extrema of
.
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Example 6: Finding Local Extrema
Find the local extrema of
.
The textbook asks you to use a calculator, but differentiating this function is not beyond your ability if you first note the following:
Suppose that
is a differentiable function of
. Then can be written as a piecewise defined functionThen we get
if
and
, if
. We can ignore the absolute value sign!
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Example 6: Finding Local Extrema
Find the local extrema of
.
Now, if
, then
Find
(with respect to ):
Therefore,
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Example 6: Finding Local Extrema
Find the local extrema of
.
Find where
is zero and where
is not differentiable. The function is not differentiable at
, but this doesn’t count because
is not defined (so zero is not in the domain of
). We have
. The function values for these critical numbers are
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Example 6: Finding Local Extrema
Find the local extrema of
.
Finally, check some nearby function values to determine whether these are local maxima, minima, or neither.
At
:
, ; this appears to be a local maximumAt : , ; this, too, appears to be a local maximum. 44Slide45
Example 6: Finding Local Extrema
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Exercise 5.1
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