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Coordinated Calculus

Section 3.4 Using Derivatives to Describe Families of Functions

Mathematicians are often interested in making general observations, say by describing patterns that hold in a large number of cases. Think about the Pythagorean Theorem: it doesn’t tell us something about a single right triangle, but rather a fact about every right triangle. In the next part of our studies, we use calculus to make general observations about families of functions that depend on one or more parameters. People who use applied mathematics, such as engineers and economists, often encounter the same types of functions where only small changes to certain constants occur. These constants are called parameters.
Figure 3.38. The graph of y=f(t), where f(t)=asin⁑(b(tβˆ’c))+d, based on parameters a, b, c, and d.
You are already familiar with certain families of functions. For example, f(t)=asin⁑(b(tβˆ’c))+d is a stretched and shifted version of the sine function with amplitude a, period 2Ο€b, phase shift c, and vertical shift d. We know that a affects the size of the oscillation, b the rapidity of oscillation, and c where the oscillation starts, as shown above in Figure 3.38, while d affects the vertical positioning of the graph.
Here is another example: every function of the form y=mx+b is a line with slope m and y-intercept (0,b). The value of m affects the line’s steepness, and the value of b situates the line vertically on the coordinate axes. These two parameters describe all possible non-vertical lines.
For other less familiar families of functions, we can use calculus to discover where key behavior occurs: e.g. where members of the family are increasing or decreasing, concave up or concave down, where relative extrema occur, and more, all in terms of the parameters involved. To get started, we revisit a common collection of functions to see how calculus confirms things we already know.

Example 3.39.

Let a, h, and k be arbitrary real numbers with aβ‰ 0, and let f be the function given by the rule f(x)=a(xβˆ’h)2+k.
  1. What familiar type of function is f? What information do you know about f just by looking at its form? (Think about the roles of a, h, and k.)
  2. Next we use some calculus to develop familiar ideas from a different perspective. To start, treat a, h, and k as constants and compute fβ€²(x).
  3. Find all critical numbers of f. (These will depend on at least one of a, h, and k.)
  4. Assume that a<0. Construct a first derivative sign chart for f.
  5. Based on the information you’ve found above, classify the critical values of f as maxima or minima.
Hint.
  1. f is written in vertex form for this type of function; what does that tell you?
  2. Try using the chain rule to differentiate f as written (instead of expanding f before taking the derivative).
  3. If c is a critical number of f, what must be true about fβ€²(c)? Remember, there are two possibilities in general.
  4. What does the graph of y=f(x) look like when a<0?
  5. Use what you know prior about the shape of y=f(x) to support the answer you get with calculus and the first derivative sign chart you made in (d).
Answer.
  1. f is quadratic.
  2. fβ€²(x)=2a(xβˆ’h).
  3. h is the only critical number of f.
  4. For x<h, we have fβ€²(x)>0 and f(x) increasing. For x>h, we have fβ€²(x)<0 and f(x) decreasing.
  5. k is a maximum of f.
Solution.
  1. Since f is a second-degree polynomial in x, f is a quadratic function, and the graph of y=f(x) is a parabola. The vertex of this parabola is at the point (h,k), and the sign of a determines whether the parabola opens upward (when a>0) or downward (when a<0).
  2. Because h and k are constants, their derivatives are both 0 and this simplifies the application of the sum rule in taking the derivative. Furthermore, the product rule is unnecessary because a is a constant as well, so we instead make use of the constant multiple rule. Doing so while also applying the chain rule, we find that
    fβ€²(x)=2a(xβˆ’h).
  3. Since f′ is linear with slope 2a≠0, it is continuous (hence, defined everywhere) and has exactly one root (where f′(x)=0). Thus the function f will have exactly one critical number. Indeed, we see that f′(x)=0 only at the point x=h. Therefore, the only critical number of f is h. We note that this agrees with our previous assertion that the vertex of y=f(x) is at the point (h,k).
  4. If a<0, then our algebra knowledge tells us that the graph of y=f(x) is a parabola that opens down, so we should find that f is increasing for x<h and decreasing for x>h. Testing this intuition, we note that
    • When x<h, then xβˆ’h<0 and hence 2a(xβˆ’h)>0 since a also is known to be negative. Therefore, on the interval (βˆ’βˆž,h) we have fβ€²(x)>0 and f increasing.
    • When x>h, then xβˆ’h>0 and hence 2a(xβˆ’h)<0 since a is known to be negative. Therefore, on the interval (h,∞) we have fβ€²(x)<0 and f decreasing.
  5. Applying the first derivative test, we see that at the point x=h, the value of fβ€²(x) switches from positive to negative, and thus k, the critical value corresponding to the critical number h, is a maximum of f. This agrees with our existing knowledge of parabolas, as we had established that this parabola opens downward.

Subsection 3.4.1 Describing Families of Functions in Terms of Parameters

Our goal is to describe the key characteristics of the overall behavior of each member of a family of functions in terms of its parameters. By finding the first and second derivatives and constructing sign charts (each of which may depend on one or more of the parameters), we can often make broad conclusions about how each member of the family will appear.

Example 3.40.

Consider the two-parameter family of functions given by g(x)=axeβˆ’bx, where a and b are positive real numbers. Fully describe the behavior of a typical member of the family in terms of a and b, including: the location of all critical numbers; where g is increasing, decreasing, concave up, and concave down; and the long-term behavior of g.
Hint.
Start by finding the first and second derivatives of g. Be careful with your use of the product rule and chain rule.
Answer.
g has one critical number, at x=1b.
g is increasing on (βˆ’βˆž,1b), decreasing on (1b,∞), concave down on (βˆ’βˆž,2b), and concave up on (2b,∞).
limxβ†’βˆ’βˆžg(x)=βˆ’βˆž and limxβ†’βˆžg(x)=0.
Solution.
We begin by computing gβ€²(x). By the product rule,
gβ€²(x)=ddx[ax]eβˆ’bx+axddx[eβˆ’bx].
By applying the chain rule and constant multiple rule, we find that
gβ€²(x)=aeβˆ’bx+axeβˆ’bx(βˆ’b).
To find the critical numbers of g, we note that gβ€² is defined everywhere and proceed to solve the equation gβ€²(x)=0. By factoring gβ€²(x), we find
0=aeβˆ’bx(1βˆ’bx).
Since we are given that aβ‰ 0 and we know that eβˆ’bxβ‰ 0 for all values of x, the only way this equation can hold is when 1βˆ’bx=0. Solving for x, we find x=1b, and this is therefore the only critical number of g.
Because the factor aeβˆ’bx is always positive, the sign of gβ€² depends on the linear factor (1βˆ’bx), which is positive for x<1b and negative for x>1b. Hence we can not only conclude that g is always increasing for x<1b and decreasing for x>1b, but also that g has a global maximum at (1b,g(1b)) and no local minimum. The first derivative sign chart for g is shown below in Figure 3.41.
Figure 3.41. The first derivative sign chart for g(x)=axeβˆ’bx.
We turn next to analyzing the concavity of g. With gβ€²(x)=aeβˆ’bxβˆ’abxeβˆ’bx, we differentiate to find that
gβ€³(x)=aeβˆ’bx(βˆ’b)βˆ’ab(eβˆ’bx+xeβˆ’bx(βˆ’b)).
Combining like terms and factoring, we now have
gβ€³(x)=ab2xeβˆ’bxβˆ’2abeβˆ’bx=abeβˆ’bx(bxβˆ’2).
We observe that abeβˆ’bx is always positive, and thus the sign of gβ€³ depends on the sign of (bxβˆ’2), which is zero when x=2b. Since b is positive, the value of (bxβˆ’2) is negative for x<2b and positive for x>2b. The sign chart for gβ€³ is shown below in Figure 3.42. Thus, g is concave down for all x<2b and concave up for all x>2b.
Figure 3.42. The second derivative sign chart for g(x)=axeβˆ’bx.
Finally, we analyze the long-term behavior of g by considering two limits. First, we note that
limxβ†’βˆžg(x)=limxβ†’βˆžaxeβˆ’bx=limxβ†’βˆžaxebx.
This limit has indeterminate form ∞∞, so with our current tools, we can not evaluate the limit algebraically. We can, however, reason that ax is linear while ebx is exponential, and conclude that because exponential growth is so much more rapid than linear growth, we expect the limiting value to be zero. A more rigorous answer will be possible following Section 3.6, but for now we can also use graphical evidence
 26 
A good tool to use here is desmos.com.
to support the claim that limxβ†’βˆžg(x)=0. We do so by examining the graphs of several different functions in this family, noting that each has a horizontal asymptote of y=0 as xβ†’βˆž. In the other direction,
limxβ†’βˆ’βˆžg(x)=limxβ†’βˆ’βˆžaxeβˆ’bx=βˆ’βˆž,
because axβ†’βˆ’βˆž and eβˆ’bxβ†’βˆž as xβ†’βˆ’βˆž. Hence, as we move left on its graph, g decreases without bound, while as we move to the right, g(x)β†’0.
All of this information now helps us produce the graph of a typical member of this family of functions without using a graphing utility (and without choosing particular values for a and b), as shown in Figure 3.43 below.
Figure 3.43. The graph of g(x)=axeβˆ’bx.
Note that the value of b controls the horizontal location of the global maximum and the inflection point, as neither depends on a. The value of a affects the vertical stretch of the graph. For example, the global maximum occurs at the point (1b,g(1b))=(1b,abeβˆ’1), so the larger the value of a, the greater the value of the global maximum.
The work we’ve completed in Example 3.40 can often be replicated for other families of functions that depend on parameters. Normally we are most interested in determining all critical numbers, a first derivative sign chart, a second derivative sign chart, and the limit of the function as xβ†’βˆž. Throughout, we prefer to work with the parameters as arbitrary constants. In addition, we can experiment with some particular values of the parameters present to reduce the algebraic complexity of our work. What follows are several key examples where we see that the values of the parameters substantially affect the behavior of individual functions within a given family.

Example 3.44.

Consider the family of functions defined by p(x)=x3βˆ’ax, where aβ‰ 0 is an arbitrary constant.
  1. Find pβ€²(x) and determine the critical numbers of p. How many critical numbers does p have?
  2. Construct a first derivative sign chart for p. What can you say about the overall behavior of p if the constant a is positive? Why? What if the constant a is negative? In each case, describe the relative extrema of p.
  3. Find pβ€³(x) and construct a second derivative sign chart for p. What does this tell you about the concavity of p? What role does a play in determining the concavity of p?
  4. Without using a graphing utility, sketch and label typical graphs of p(x) for the cases where a>0 and a<0. Label all inflection points and local extrema.
  5. Finally, use a graphing utility to test your observations above by entering and plotting the function p(x)=x3βˆ’ax for at least four different values of a. Write several sentences to describe your overall conclusions about how the behavior of p depends on a.
Hint.
  1. When solving pβ€²(x)=0, think about two possible cases: when a>0 and when a<0.
  2. Remember that any quadratic function can be zero at most two times. How does the graph of y=3x2βˆ’a look?
  3. Don’t forget that ddx[a]=0.
  4. Think about how the graph of a typical cubic polynomial behaves.
Answer.
  1. p has two critical numbers (x=Β±a3) whenever a>0 and no critical numbers when a<0.
  2. When a<0, p is always increasing and has no relative extreme values. When a>0, p has a relative maximum at x=βˆ’a3 and a relative minimum at x=+a3.
  3. p is concave down for x<0 and p is concave up for x>0, making x=0 an inflection point.
  4. On the left, a<0; on the right, a>0.
  5. See desmos.com
     27 
    www.desmos.com/calculator/2x1j8cwozg
    for additional graph samples. As a decreases towards βˆ’βˆž, the graph of y=p(x) looks more and more linear. As a increases towards ∞, the two bumps on the graph get more pronounced.
Solution.
  1. We first note that pβ€²(x)=3x2βˆ’a, so to find critical numbers we set pβ€²(x)=0 and solve for x. This leads to the equation 3x2βˆ’a=0, which implies
    x2=a3.
    If a>0, then the solutions to this equation are x=Β±a3; if a<0, then the equation has no solution. Hence, p has two critical numbers (x=Β±a3) whenever a>0 and no critical numbers when a<0.
  2. For the case when a<0, we observe that pβ€²(x)=3x2βˆ’a is positive for every value of x, and thus p is always increasing and has no relative extreme values. (There are no critical numbers to place on the first derivative sign chart, and pβ€² is always positive.) For the case when a>0, we observe that pβ€²(x)=3x2βˆ’a is a concave up parabola with zeros at x=βˆ’a3 and x=+a3. It follows that for x<βˆ’a3, pβ€²(x)>0 (so p is increasing); for βˆ’a3<x<a3, pβ€²(x)>0 (so p is decreasing); and for x>a3, pβ€²(x)>0 (so p is again increasing). In this situation, we see that p has a relative maximum at x=βˆ’a3 and a relative minimum at x=+a3.
  3. Since pβ€²(x)=3x2βˆ’a and a is constant, it follows that pβ€³(x)=6x. Note that pβ€³(x)=0 when x=0 and that pβ€³(x)<0 for x<0 and pβ€³(x)>0 for x>0. Hence p is concave down for x<0 and p is concave up for x>0, making x=0 an inflection point.
  4. Below, we show the two possible situations. At left, for the case when a<0 and p is always increasing with an inflection point at x=0, and at right for when a>0 and p has a relative maximum at x=βˆ’a3 and a relative minimum at x=+a3, again with an inflection point at x=0. Note, too, that p has its x-intercepts at x=Β±a.
  5. See desmos.com
     28 
    www.desmos.com/calculator/2x1j8cwozg
    for additional graph samples. We note that as a gets increasingly negative, the graph of y=p(x) gets steeper near the origin, tending more and more toward a linear shape (which it never achieves). Conversely, as a gets increasingly positive, the two bumps on the graph get more and more pronounced.

Example 3.45.

Consider the two-parameter family of functions of the form h(x)=a(1βˆ’eβˆ’bx), where a and b are positive real numbers.
  1. Find the first derivative and the critical numbers of h. Use these to construct a first derivative sign chart and determine for which values of x the function h is increasing and decreasing.
  2. Find the second derivative and build a second derivative sign chart. For which values of x is a function in this family concave up? Concave down?
  3. What is the value of limxβ†’βˆža(1βˆ’eβˆ’bx)? What about limxβ†’βˆ’βˆža(1βˆ’eβˆ’bx)?
  4. How does changing the value of b affect the shape of the curve?
  5. Without using a graphing utility, sketch the graph of a typical member of this family. Write several sentences to describe the overall behavior of a typical function h and how this behavior depends on a and b.
Hint.
  1. Expand to write h(x)=aβˆ’aeβˆ’bx before differentiating.
  2. Remember that eβˆ’bx is always positive (hence, never zero), regardless of the value of x.
  3. Recall that eβˆ’xβ†’0 as xβ†’βˆž and eβˆ’xβ†’βˆž as xβ†’βˆ’βˆž.
  4. Consider how b affects the value of hβ€²(x).
  5. Use your work in (a)-(d).
Answer.
  1. h is an always increasing function.
  2. h is always concave down.
  3. limxβ†’βˆža(1βˆ’eβˆ’bx)=a, and limxβ†’βˆ’βˆža(1βˆ’eβˆ’bx)=βˆ’βˆž.
  4. If b is large and x is close to zero, hβ€²(x) is relatively large near x=0, and the curve’s slope will quickly approach zero as x increases. If b is small, the graph is less steep near x=0 and its slope goes to zero less quickly as x increases.
Solution.
  1. Since h(x)=aβˆ’aeβˆ’bx, we have by the constant multiple and chain rules that
    hβ€²(x)=βˆ’aeβˆ’bx(βˆ’b)=abeβˆ’bx.
    Since a and b are positive constants and eβˆ’bx>0 for all x, we see that hβ€²(x) is never zero (nor undefined), and indeed hβ€²(x)>0 for all x. Hence h is an always increasing function.
  2. Because hβ€²(x)=abeβˆ’bx, we have that hβ€³(x)=abeβˆ’bx(βˆ’b)=βˆ’ab2eβˆ’bx. As with hβ€², we recognize that a, b2, and eβˆ’bx are always positive, and thus hβ€³(x)=βˆ’ab2eβˆ’bx<0 for all values of x, making h always concave down.
  3. As xβ†’βˆž, eβˆ’bxβ†’0. Thus,
    limxβ†’βˆža(1βˆ’eβˆ’bx)=limxβ†’βˆž(aβˆ’aeβˆ’bx)=aβˆ’0=a.
    This shows that h has a horizontal asymptote at y=a as we move rightward on its graph. As xβ†’βˆ’βˆž, eβˆ’bxβ†’βˆž. Thus,
    limxβ†’βˆ’βˆža(1βˆ’eβˆ’bx)=limxβ†’βˆ’βˆž(aβˆ’aeβˆ’bx)=βˆ’βˆž.
  4. Noting that hβ€²(x)=abeβˆ’bx, we see that if we consider different values of b, the slope of the graph changes. If b is large and x is close to zero, hβ€²(x)β‰ˆab (since e0=1), so hβ€²(x) is relatively large near x=0. At the same time, for large b, eβˆ’bx approaches zero quickly as x increases, so the curve’s slope will quickly approach zero as x increases. If b is small, the graph is less steep near x=0 and its slope goes to zero less quickly as x increases.
  5. Observing that h(0)=0 and limxβ†’βˆžh(x)=a, along with the facts that h is always increasing and always concave down, we see that a typical member of this family looks like the following graph.

Example 3.46.

Let L(t)=A1+ceβˆ’kt, where A, c, and k are all positive real numbers.
  1. Observe that we can equivalently write L(t)=A(1+ceβˆ’kt)βˆ’1. Find Lβ€²(t) and explain why L has no critical numbers. Is L always increasing or always decreasing? Why?
  2. Given the fact that
    Lβ€³(t)=Ack2eβˆ’ktceβˆ’ktβˆ’1(1+ceβˆ’kt)3,
    find all values of t such that Lβ€³(t)=0 and then construct a second derivative sign chart. For which values of t is a function in this family concave up? Concave down?
  3. What is the value of limtβ†’βˆžA1+ceβˆ’kt? limtβ†’βˆ’βˆžA1+ceβˆ’kt?
  4. Find the value of L(t) at the inflection point found in (b).
  5. Without using a graphing utility, sketch the graph of a typical member of this family. Write several sentences to describe the overall behavior of a typical function L and how this behavior depends on the values of the parameters A, c, and k.
  6. Explain why it is reasonable to think that the function L(t) models the growth of a population over time, in a setting where the surrounding environment cannot support a population larger than A.
Hint.
  1. Use the chain rule, treating A, c, and k as constants.
  2. Note that the only way Lβ€³(t)=0 is if ceβˆ’ktβˆ’1=0.
  3. Remember that eβˆ’tβ†’0 as tβ†’βˆž and eβˆ’tβ†’βˆž as tβ†’βˆ’βˆž.
  4. Note that at the inflection point t0, we have ceβˆ’kt0=1.
  5. Think about horizontal asymptotes, where L is increasing and decreasing, and concavity.
  6. Intuitively, if an environment can only support a population of a certain size, how should the population be growing when it is well below the limit? When it is approaching the limit? Does this intuition describe what you found to be true for L?
Answer.
  1. L is an always increasing function.
  2. L is concave up for all t<βˆ’1kln⁑(1c) and concave down for all t>βˆ’1kln⁑(1c).
  3. limtβ†’βˆžA1+ceβˆ’kt=A, and
    limtβ†’βˆ’βˆžA1+ceβˆ’kt=0.
  4. The inflection point on the graph of L is (βˆ’1kln⁑(1c),A2).
  5. The population grows rapidly at first, but its growth rate decreases to near zero as the population approaches the limiting size of A.
Solution.
  1. By the chain rule and treating A, c, and k as constants, we find that
    Lβ€²(t)=A(βˆ’1)(1+ceβˆ’kt)βˆ’2ceβˆ’kt(βˆ’k)=Ackeβˆ’kt(1+ceβˆ’kt)βˆ’2.
    Since A, c, and k are all positive and eβˆ’kt>0 for all values of t, it is apparent that Lβ€²(t) is never zero (nor undefined), and indeed is positive for every value of t. Thus, L is an always increasing function.
  2. Given that
    Lβ€³(t)=Ack2eβˆ’ktceβˆ’ktβˆ’1(1+ceβˆ’kt)3,
    the only way Lβ€³(t)=0 is if ceβˆ’ktβˆ’1=0. Solving ceβˆ’ktβˆ’1=0 for t, we first write eβˆ’kt=1c. Taking the natural logarithm of both sides yields βˆ’kt=ln⁑(1c), so that
    t=βˆ’1kln⁑(1c)
    is the only value of t for which Lβ€³(t)=0. Now, observe that since ceβˆ’ktβ†’0 as tβ†’βˆž and ceβˆ’ktβ†’βˆž as tβ†’βˆ’βˆž, it follows that the quantity ceβˆ’ktβˆ’1 will be positive to the left of where it is zero and negative to the right of where it is zero. Since this is the only term in Lβ€³(t) that can change sign, it follows that Lβ€³(t)>0 for t<βˆ’1kln⁑(1c) and Lβ€³(t)<0 for t>βˆ’1kln⁑(1c), making L concave up to the left of the noted inflection point and concave down thereafter.
  3. Recalling that eβˆ’ktβ†’0 as tβ†’βˆž, we observe that
    limtβ†’βˆžA1+ceβˆ’kt=A1+0=A,
    so L has a horizontal asymptote of y=A as tβ†’βˆž. On the other hand, since eβˆ’ktβ†’βˆž as tβ†’βˆ’βˆž, this causes the denominator of L to grow without bound (while the numerator remains constant), and therefore
    limtβ†’βˆ’βˆžA1+ceβˆ’kt=0,
    which means L has a horizontal asymptote of y=0 as tβ†’βˆ’βˆž.
  4. From (b), we know that t=βˆ’1kln⁑(1c) is the location of the inflection point of L. We evaluate L(βˆ’1kln⁑(1c)),
     29 
    If you prefer to evaluate the function without this apparent β€œshortcut”, be careful with parentheses as you plug in and evaluate. In particular, notice that we do indeed have ceβˆ’k[βˆ’ln⁑(1c)k]=cekln⁑(1c)k=celn⁑(1c)=c(1c)=1. The remainder of the calculation should match what is shown below.
    recalling that at this t-value we have the equality ceβˆ’kt=1, thus
    L(βˆ’1kln⁑(1c))=A1+1=A2.
    Thus, the inflection point on the graph of L is located at (βˆ’1kln⁑(1c),A2).
  5. We have shown that L is an always increasing function that has horizontal asymptotes at y=0 and y=A, as well as an inflection point at (βˆ’1kln⁑(1c),A2), which we note lies vertically halfway between the asymptotes. In addition, we see that L(0)=A1+c. The combination of all of this information shows us that a typical graph in this family of functions is given by the following figure.
  6. The population grows rapidly at first, but its growth rate decreases to near zero as the population approaches the limiting size of A. This makes sense when environmental factors would affect the population to keep it at a sustainable size.

Subsection 3.4.2 Summary

  • Given a family of functions that depends on one or more parameters, we can often accurately describe the shape of the function in terms of the parameters by investigating how critical numbers and locations where the second derivative is zero depend on the values of these parameters.
  • In particular, just as we can creat first and second derivative sign charts for a single function, we can often do so for entire families of functions where critical numbers and possible inflection points depend on arbitrary constants. These sign charts then reveal where members of the family are increasing or decreasing, concave up or concave down, and help us to identify relative extrema and inflection points.

Exercises 3.4.3 Exercises

1. Drug dosage with a parameter.

For some positive constant C, a patient’s temperature change, T, due to a dose, D, of a drug is given by T=(C2βˆ’D3)D2.
What dosage maximizes the temperature change?
The sensitivity of the body to the drug is defined as dT/dD. What dosage maximizes sensitivity?

2. Using the graph of gβ€².

The figure below gives the behavior of the derivative of g(x) on βˆ’2≀x≀2.
Graph of gβ€²(x) (not g(x))
(Click on the graph to get a larger version.)
Sketch a graph of g(x) and use your sketch to answer the following questions.
A. Where does the graph of g(x) have inflection points?
Enter your answer as a comma-separated list of values, or enter none if there are none.
B. Where are the global maxima and minima of g on [βˆ’2,2]?
minimum at x=
maximum at x=
C. If g(βˆ’2)=βˆ’10, what are possible values for g(0)?
g(0) is in
(Enter your answer as an interval, or union of intervals, giving the possible values. Thus if you know βˆ’3<g(0)≀2, enter (-3,2]. Enter infinity for ∞, the interval [5,5] to indicate a single point).
How is the value of g(2) related to the value of g(0)?
g(2) g(0)
(Enter the appropriate mathematical equality or inequality, =, <, >, etc.)

3. Using the graph of f.

For the function f given above, determine whether the following conditions are true. Input T if the condition is ture, otherwise input F .
(a) fβ€²(x)<0 if 0<x<2;
(b) fβ€²(x)>0 if x>2;
(c) fβ€³(x)<0 if 0≀x<1;
(d) fβ€³(x)>0 if 1<x<4.
(e) fβ€³(x)<0 if x>4;
(f) Two inflection points of f(x) are, the smaller one is x= and the other is x=

4. Sign Change.

You are given the following graph of the function f(x):
Find the point where the second derivative changes sign from negative to positive?

5. Critical and inflection points of a function with parameters.

A function with parameters a and b is given. Describe the critical points and possible points of inflection of f in terms of a and b.
f(x)=(xβˆ’a)(xβˆ’b)
Critical point:
Possible point of inflection: (enter DNE if none exist)

6. Behavior of a function with parameters.

Consider f(x)=ax+xln⁑(bx) for a>0, b>1, and x>1.
Find fβ€²(x): fβ€²(x)=
Based on your expression for fβ€²(x), is f(x) increasing or decreasing? (Enter increasing or decreasing.)
(Be sure that you can see why this is true for all values x>1.)
Find fβ€³(x): fβ€³(x)=
Based on your expression for fβ€³(x), is f(x) concave up or concave down? (Enter up or down.)
(Be sure that you can see why this is true for all values x>1.)

7. Analyzing and curve sketching.

A continuous function f, defined for all x, has the following properties:
1. f is increasing
2. f is concave down
3. f(7)=2
4. fβ€²(7)=13
Sketch a possible graph for f, and use it to answer the following questions about f.
A. For each of the following intervals, what is the minimum and maximum number of zeros f could have in the interval? (Note that if there must be exactly N zeros in an interval, the minimum and maximum are both N.)
minimum maximum
βˆ’βˆž<x≀0
0<x≀1
1<x<7
7≀x<∞
B. Are any of the following possible values for fβ€²(1)? (Enter your answer as a comma-separated list, or enter ’none’ if none of them are possible.) βˆ’3, βˆ’2, βˆ’1, βˆ’14, 0, 14, 1, 2, 3.
possible values: fβ€²(1)=
C. What happens to f as xβ†’βˆ’βˆž?
limxβ†’βˆ’βˆžf(x)=
(Enter the value, ’infinity’ or ’-infinity’ for ∞ or βˆ’βˆž, or ’none’ if there is no limit.)

8. Analyzing families of functions.

Consider the one-parameter family of functions given by p(x)=x3βˆ’ax2, where a>0.
  1. Sketch a plot of a typical member of the family, using the fact that each is a cubic polynomial with a repeated zero at x=0 and another zero at x=a.
  2. Find all critical numbers of p.
  3. Compute pβ€³ and find all values for which pβ€³(x)=0. Hence construct a second derivative sign chart for p.
  4. Describe how the location of the critical numbers and the inflection point of p change as a changes. That is, if the value of a is increased, what happens to the critical numbers and inflection point?

9. Analyzing families of functions.

Let q(x)=eβˆ’xxβˆ’c be a one-parameter family of functions where c>0.
  1. Explain why q has a vertical asymptote at x=c.
  2. Determine limxβ†’βˆžq(x) and limxβ†’βˆ’βˆžq(x).
  3. Compute qβ€²(x) and find all critical numbers of q.
  4. Construct a first derivative sign chart for q and determine whether each critical number leads to a local minimum, local maximum, or neither for the function q.
  5. Sketch a typical member of this family of functions with important behaviors clearly labeled.

10. Analyzing families of functions.

Let E(x)=eβˆ’(xβˆ’m)22s2, where m is any real number and s is a positive real number.
  1. Compute Eβ€²(x) and hence find all critical numbers of E.
  2. Construct a first derivative sign chart for E and classify each critical number of the function as a local minimum, local maximum, or neither.
  3. It can be shown that Eβ€³(x) is given by the formula
    Eβ€³(x)=eβˆ’(xβˆ’m)22s2((xβˆ’m)2βˆ’s2s4).
    Find all values of x for which Eβ€³(x)=0.
  4. Determine limxβ†’βˆžE(x) and limxβ†’βˆ’βˆžE(x).
  5. Construct a labeled graph of a typical function E that clearly shows how important points on the graph of y=E(x) depend on m and s.