3 The Graphical Behavior of Functions

3.1 Extreme Values

margin: Note: The extreme values of a function are “y” values, values the function attains, not the input values. Λ

Given any quantity described by a function, we are often interested in the largest and/or smallest values that quantity attains. For instance, if a function describes the speed of an object, it seems reasonable to want to know the fastest/slowest the object traveled. If a function describes the value of a stock, we might want to know the highest/lowest values the stock attained over the past year. We call such values extreme values.

Definition 3.1.1 Extreme Values

Let f be defined on an interval I containing c.

  1. (a)

    f(c) is the minimum (also, absolute minimum) of f on I if f(c)f(x) for all x in I.

  2. (b)

    f(c) is the maximum (also, absolute maximum) of f on I if f(c)f(x) for all x in I.

The maximum and minimum values are the extreme values, or extrema, of f on I.

margin: -2-11224()xy (a)-2-11224[]xy (b)-2-11224[]xy (c) Figure 3.1.1: Graphs of functions with and without extreme values. Λ

Consider Figure 3.1.1. The function displayed in (a) has a maximum, but no minimum, as the interval over which the function is defined is open. In (b), the function has a minimum, but no maximum; there is a discontinuity in the “natural” place for the maximum to occur. Finally, the function shown in (c) has both a maximum and a minimum; note that the function is continuous and the interval on which it is defined is closed.

It is possible for discontinuous functions defined on an open interval to have both a maximum and minimum value, but we have just seen examples where they did not. On the other hand, continuous functions on a closed interval always have a maximum and minimum value.

Theorem 3.1.1 The Extreme Value Theorem

Let f be a continuous function defined on a finite closed interval I. Then f has both a maximum and minimum value on I.

This theorem states that f has extreme values, but it does not offer any advice about how/where to find these values. The process can seem to be fairly easy, as the next example illustrates. After the example, we will draw on lessons learned to form a more general and powerful method for finding extreme values.

Example 3.1.1 Approximating extreme values

Consider f(x)=2x3-9x2 on I=[-1,5], as graphed in Figure 3.1.2. Approximate the extreme values of f. margin: -15-2020(5,25)(3,-27)(-1,-11)(0,0)xy Figure 3.1.2: A graph of f(x)=2x3-9x2 as in Example 3.1.1. Λ

SolutionThe graph is drawn in such a way to draw attention to certain points. It certainly seems that the smallest y value is -27, found when x=3. It also seems that the largest y value is 25, found at the endpoint of I, x=5. We use the word seems, for by the graph alone we cannot be sure the smallest value is not less than -27. Since the problem asks for an approximation, we approximate the extreme values to be 25 and -27.

Notice how the minimum value came at “the bottom of a valley,” and the maximum value came at an endpoint. Also note that while 0 is not an extreme value, it would be if we narrowed our interval to [-1,4]. The idea that the point (0,0) is the location of an extreme value for some interval is important, leading us to a definition.

Definition 3.1.2 Relative Minimum and Relative Maximum

Let f be defined on an interval I containing c.

  1. (a)

    If there is an open interval containing c such that f(c) is the minimum value of f on that interval, then f(c) is a relative minimum of f. We also say that f has a relative minimum at (c,f(c)).

  2. (b)

    If there is an open interval containing c such that f(c) is the maximum value of f on that interval, then f(c) is a relative maximum of f. We also say that f has a relative maximum at (c,f(c)).

The relative maximum and minimum values comprise the relative extrema of f.

margin: Note: The terms local minimum, local maximum, and local extrema are often used as synonyms for relative minimum, relative maximum, and relative extrema. Λ

We briefly practice using these definitions.

margin: -2-1123-6-4-2246xy Figure 3.1.3: A graph of f(x)=(3x4-4x3-12x2+5)/5 as in Example 3.1.2. Λ
Example 3.1.2 Approximating relative extrema

Consider f(x)=(3x4-4x3-12x2+5)/5, as shown in Figure 3.1.3. Approximate the relative extrema of f. At each of these points, evaluate f.

SolutionWe still do not have the tools to exactly find the relative extrema, but the graph does allow us to make reasonable approximations. It seems f has relative minima at x=-1 and x=2, with values of f(-1)=0 and f(2)=-5.4. It also seems that f has a relative maximum at the point (0,1).

We approximate the relative minima to be 0 and -5.4; we approximate the relative maximum to be 1.

It is straightforward to evaluate f(x)=15(12x3-12x2-24x) at x=0,1 and 2. In each case, f(x)=0.

margin: 12123xy Figure 3.1.4: A graph of f(x)=(x-1)2/3+2 as in Example 3.1.3. Λ
Example 3.1.3 Approximating relative extrema

Approximate the relative extrema of f(x)=(x-1)2/3+2, shown in Figure 3.1.4. At each of these points, evaluate f.

SolutionThe figure implies that f does not have any relative maxima, but has a relative minimum at (1,2). In fact, the graph suggests that not only is this point a relative minimum, y=f(1)=2 is the minimum value of the function.

We compute f(x)=23(x-1)-1/3. When x=1, f is undefined.

What can we learn from the previous two examples? We were able to visually approximate relative extrema, and at each such point, the derivative was either 0 or it was not defined. This observation holds for all functions, leading to a definition and a theorem.

Definition 3.1.3 Critical Numbers and Critical Points

Let f be defined at c. The value c is a critical point (or critical number) of f if f(c)=0 or f(c) is not defined.

If c is a critical number of f, then f(c) is a critical value of f.

Theorem 3.1.2 Fermat’s Theorem

Let a function f have a relative extrema at the point (c,f(c)). Then c is a critical point of f.

It isn’t too hard to see why this should be true. If f is defined at a relative extreme, then the tangent line must be horizontal. Otherwise, we’d be able to move along the graph in the direction given by the tangent line to get a more extreme value.

margin: -11-11xy Figure 3.1.5: A graph of f(x)=x3 which has a critical point of x=0, but no relative extrema. Λ

Be careful to understand that this theorem states “All relative extrema occur at critical points.” It does not say “All critical points produce relative extrema.” For instance, consider f(x)=x3. Since f(x)=3x2, it is straightforward to determine that x=0 is a critical point of f. However, f has no relative extrema, as illustrated in Figure 3.1.5.

Theorem 3.1.1 states that a continuous function on a closed interval will have absolute extrema, that is, both an absolute maximum and an absolute minimum. These extrema occur either at the endpoints or at critical points in the interval. We combine these concepts to offer a strategy for finding extrema.

Key Idea 3.1.1 Finding Extrema on a Closed Interval

Let f be a continuous function defined on a closed interval [a,b]. To find the maximum and minimum values of f on [a,b]:

  1. (a)

    Evaluate f at the endpoints a and b of the interval.

  2. (b)

    Find the critical points of f in (a,b).

  3. (c)

    Evaluate f at each critical point.

  4. (d)

    The absolute maximum of f is the largest of these values, and the absolute minimum of f is the least of these values.

We practice these ideas in the next examples.

Example 3.1.4 Finding extreme values

Find the extreme values of f(x)=2x3+3x2-12x on [0,3], graphed in Figure 3.1.6(a).

SolutionWe follow the steps outlined in Key Idea 3.1.1. We first evaluate f at the endpoints: margin: 1232040xy (a) x f(x) 0 0 1 -7 3 45 (b) Figure 3.1.6: A graph and table of extreme values of f(x)=2x3+3x2-12x on [0,3] as in Example 3.1.4. Λ

f(0)=2(0)3+3(0)2-12(0)=0andf(3)=2(3)3+3(3)2-12(3)=45.

Next, we find the critical points of f on [0,3]. We see that f(x)=6x2+6x-12=6(x+2)(x-1); therefore the critical points of f are x=-2 and x=1. Since x=-2 does not lie in the interval [0,3], we ignore it. Evaluating f at the only critical point in our interval gives: f(1)=2(1)3+3(1)2-12(1)=-7.

The table in Figure 3.1.6(b) gives f evaluated at the “important” x values in [0,3]. We can easily see the maximum and minimum values of f: the maximum value is 45 and the minimum value is -7.

Note that all this was done without the aid of a graph; this work followed an analytic algorithm and did not depend on any visualization. Figure 3.1.6(a) shows f and we can confirm our answer, but it is important to understand that these answers can be found without graphical assistance.

We practice again.

Example 3.1.5 Finding extreme values

Find the maximum and minimum values of f on [-4,2], where

f(x)={(x-1)2x0x+1x>0.
margin: x f(x) -4 25 0 1 2 3 (a)-4-221020xy (b) Figure 3.1.7: A table of extreme values and graph of f(x) on [-4,2] as in Example 3.1.5. Λ

SolutionAlthough f is piecewise-defined, it is still continuous, which means that we can apply Key Idea 3.1.1. Evaluating f at the endpoints gives:

f(-4)=(-4-1)2=(-5)2=25andf(2)=2+1=3.

We now find the critical points of f. We have to define f in a piecewise manner; it is

f(x)={2(x-1)x<01x>0.

Note that while f is defined for all of [-4,2], f is not, as the derivative of f does not exist when x=0. (From the left, the derivative approaches -2; from the right the derivative is 1.) Thus one critical point of f is x=0.

We now set f(x)=0. When x>0, f(x) is never 0. When x<0, f(x) is also never 0. (We may be tempted to say that f(x)=0 when x=1. However, this is nonsensical, for we only consider f(x)=2(x-1) when x<0, so we will ignore a solution that says x=1.)

So we have three important x values to consider: x=-4,2 and 0. We have already evaluated the first two, and f(0)=(0-1)2=(-1)2=1. Collecting these values into Figure 3.1.7(a), we see that the absolute minimum of f is 1 and the absolute maximum of f is 25. Our answer is confirmed by the graph of f in Figure 3.1.7(b).

margin: x f(x) -2 -0.65 -π -1 0 1 π -1 2 -0.65 (a)-2-112-1-0.50.51xy (b) Figure 3.1.8: A table of extreme values and graph of f(x)=cos(x2) on [-2,2] in Example 3.1.6. Λ
Example 3.1.6 Finding extreme values

Find the extrema of f(x)=cos(x2) on [-2,2].

SolutionWe again use Key Idea 3.1.1. Evaluating f at the endpoints of the interval gives: f(-2)=f(2)=cos(4)-0.6536. We now find the critical points of f.

Applying the Chain Rule, we find f(x)=-2xsin(x2). Set f(x)=0 and solve for x to find the critical points of f.

We have f(x)=0 when x=0 and when sin(x2)=0. In general, sint=0 when t is a integer multiple of π. Thus sin(x2)=0 when x2 is an integer multiple of π, and sin(x2)=0 when x=0,±π,±2π,. The only values to fall in the given interval of [-2,2] are 0 and ±π, approximately ±1.77.

We again construct a table of important values in Figure 3.1.8(a). In this example we have 5 values to consider: x=0, ±2, ±π.

From the table it is clear that the maximum value of f on [-2,2] is 1; the minimum value is -1. The graph in Figure 3.1.8(b) confirms our results.

We consider one more example.

margin: -111xy (a) x f(x) -1 0 0 1 1 0 (b) Figure 3.1.9: A graph and table of extrema of f(x)=1-x2 on [-1,1] as in Example 3.1.7. Λ
Example 3.1.7 Finding extreme values

Find the extreme values of f(x)=1-x2.

SolutionA closed interval is not given, so we find the extreme values of f on its domain. This f is defined whenever 1-x20; thus the domain of f is [-1,1]. Evaluating f at either endpoint returns 0.

Using the Chain Rule, we find f(x)=-x1-x2. The critical points of f are found when f(x)=0 or when f is undefined. It is straightforward to find that f(x)=0 when x=0, and f is undefined when x=±1, the endpoints of the interval. The table of important values is given in Figure 3.1.9(b). The maximum value is 1, and the minimum value is 0.

margin: Note: We implicitly found the derivative of x2+y2=1, the unit circle, in Example 2.6.5 as dydx=-x/y. In Example 3.1.7, half of the unit circle is given as y=f(x)=1-x2. We found f(x)=-x1-x2. Recognize that the denominator of this fraction is y; that is, we again found f(x)=dydx=-x/y. Λ

We have seen that continuous functions on closed intervals always have a maximum and minimum value, and we have also developed a technique to find these values. In the next section, we further our study of the information we can glean from “nice” functions with the Mean Value Theorem. On a closed interval, we can find the average rate of change of a function (as we did at the beginning of Chapter 2). We will see that differentiable functions always have a point at which their instantaneous rate of change is same as the average rate of change. This is surprisingly useful, as we’ll see.

Exercises 3.1

 

Terms and Concepts

  1. 1.

    Describe what an “extreme value” of a function is in your own words.

  2. 2.

    Sketch the graph of a function f on (-1,1) that has both a maximum and minimum value.

  3. 3.

    Describe the difference between absolute and relative maxima in your own words.

  4. 4.

    Sketch the graph of a function f where f has a relative maximum at x=1 and f(1) is undefined.

  5. 5.

    T/F: If c is a critical value of a function f, then f has either a relative maximum or relative minimum at x=c.

  6. 6.

    Fill in the blanks: The critical points of a function f are found where f(x) is equal to              or where f(x) is             .

Problems

In Exercises 7–8., identify each of the marked points as being an absolute maximum or minimum, a relative maximum or minimum, or none of the above. (A point could be more than one.)

  1. 7.
    246-22ADBCEFGxy
  2. 8.
    24-22ABCDExy

In Exercises 9–16., evaluate f(x) at the points indicated in the graph.

  1. 9.
    f(x)=2x2+1-5512(0,2)xy
  2. 10.
    f(x)=x26-x2-22246(0,0)(2,42)xy
  3. 11.
    f(x)=sinx246-11(π/2,1)(3π/2,-1)xy
  4. 12.
    f(x)=x24-x-224510(0,0)(165,512255)(4,0)xy
  5. 13.
    f(x)={x2x0x5x>0-1-0.50.51-0.50.51(0,0)xy
  6. 14.
    f(x)={x2x0xx>0-1-0.50.51-0.50.51(0,0)xy
  7. 15.
    f(x)=(x-2)2/3x+1510246(2,1)(6,1+233)xy
  8. 16.
    f(x)=x4-2x2+13-2-112123(1,0)(-1,0)xy

In Exercises 17–26., find the extreme values of the function on the given interval.

  1. 17.

    f(x)=x2+x+4 on  [-1,2].

  2. 18.

    f(x)=x3-92x2-30x+3 on  [0,6].

  3. 19.

    f(x)=3sinx on  [π/4,2π/3].

  4. 20.

    f(x)=x24-x2 on  [-2,2].

  5. 21.

    f(x)=x+3x on  [1,5].

  6. 22.

    f(x)=x2x2+5 on  [-3,5].

  7. 23.

    f(x)=excosx on  [0,π].

  8. 24.

    f(x)=exsinx on  [0,π].

  9. 25.

    f(x)=lnxx on  [1,4].

  10. 26.

    f(x)=x2/3-x on  [0,2].

  1. 27.
    (a) Sketch the graph of a function that has a local minimum at 3 and is differentiable at 3. (b) Sketch the graph of a function that has a local minimum at 3 and is continuous but not differentiable at 3. (c) Sketch the graph of a function that has a local minimum at 3 and is not continuous at 3.
  2. 28.

    Show that 4 is a critical number of f(x)=(x-4)3+7 but f does not have a relative extreme value at 4.

  3. 29.
    A cubic function is a polynomial of degree 3; that is, it has the form ax3+bx2+cx+d, where a0. (a) Show that a cubic function can have 2, 1, or 0 critical numbers. Give examples and sketches to illustrate the 3 possibilities. (b) How many local extreme values can a cubic function have?
  4. 30.

    Suppose that a and b are positive numbers. Find the extreme values of f(x)=xa(1-x)b on [0,1].

Review

  1. 31.

    Find dydx, where x2y-y2x=1.

  2. 32.

    Find the equation of the line tangent to the graph of x2+y2+xy=7 at the point (1,2).

  3. 33.

    Let f(x)=x3+x.

    Evaluate lims0f(x+s)-f(x)s.

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