These ten corrected exercises for the Differential Calculus course for Social Science, 201-103, preceded by a list of calculations, gather everything the earlier chapters built: domain, limits, vertical, horizontal and oblique asymptotes, the sign of the derivative and the first derivative test, local extrema, the sign of the second derivative, concavity and inflection points, the second derivative test, absolute extrema on a closed interval, and the variation table that sums up the complete study of a function before the sketch.
Exercise 0.1 opens the set with ten functions whose critical numbers and inflection points are found directly, as in textbook drill lists: parabolas and cubics, one of them with no critical number, quartics such as 3x4−4x3−12x2+5 and one whose second derivative 12(x−1)2 vanishes without changing sign, rational functions such as 2x+x18 and x2+36, and x6−x with its critical number at the edge of the domain, each with its x-coordinates checked as you type.
By the end, you can find the asymptotes of an average cost and interpret them (exercise 1), build a complete variation table (exercise 2), classify critical points by the first derivative test (exercise 3), recognize when the second derivative test falls silent, on x4 and x3 (exercise 4), locate the inflection point of a logistic diffusion model at half its ceiling (exercise 5), read an indicator from its published rate of change alone (exercise 6) and compare the three kinds of candidates for an absolute extremum, endpoints included (exercise 7). The tax revenue curve as a function of the tax rate (exercise 9) and the critique of a variation table published in a report (exercise 10) close the set.
The thread of the set fits in one sentence: each line of the table answers a different question, and they must not be mixed. The sign of f′ says whether it rises, the sign of f′′ says whether it speeds up, and the values at the endpoints decide what is ABSOLUTE. Three pitfalls are named outright: taking a critical point for an extremum, reading a decrease into the sign of the second derivative, and forgetting the endpoints of the interval when looking for an absolute extremum. Exercise 8 brings them together in five statements to correct.
This set is written for CEGEP students in the Social Science program (profile with mathematics) taking Differential Calculus for Social Science, 201-103.
Self-checking setType your answers and check them question by question: the page tells you right or wrong before you open the solution. With an account, every answer right on the first try earns points, and your right answers stay filled in when you come back.
•Order of a study: domain, limits at the edges, asymptotes, the derivative and its sign, the second derivative and its sign, table, then sketch.
•VERTICAL asymptote at a if limx→af=±∞. HORIZONTAL y=L if limx→±∞f=L. OBLIQUE y=mx+p if f(x)−(mx+p)→0.
•A curve has at most ONE horizontal or oblique asymptote on each side, never both on the same side.
•f′>0 means increasing, f′<0 means decreasing. A change of sign of f′ gives a LOCAL EXTREMUM, and that is the first derivative test.
•f′(a)=0 makes a a CANDIDATE, not an extremum: x3 at 0 is the reminder.
•Second derivative test: f′′(a)<0 gives a maximum, f′′(a)>0 a minimum. If f′′(a)=0, the test is SILENT and you go back to the first.
•f′′>0: concave up, the curve lies above its tangent lines. f′′<0: concave down. Whether f increases or decreases is NEVER read from it.
•INFLECTION point: f′′ vanishes AND changes sign. x4 at 0 shows that vanishing alone is not enough.
•ABSOLUTE extrema on a closed bounded interval: three kinds of candidates, the critical points, the points of non-differentiability, and the ENDPOINTS. Compare the values, with no sign chart.
•A local maximum is absolute only if no endpoint exceeds it. On an OPEN interval, an absolute extremum may not exist.
•Logistic model: the inflection point is always at HALF the ceiling, and that is where the rate is greatest.
•An average cost of the form dF+ad+b has a vertical asymptote, an oblique asymptote, and a minimum where the two variable terms balance.
•The sketch comes from the study, never from a table of values: ten points show neither an asymptote, nor an inflection, nor an exact extremum.
Calculations: critical numbers and inflection points to find
Exercise 0.1: Finding critical numbers and inflection points: ten direct calculations
For each function, calculate f′ and f′′, find the critical numbers, that is, the values in the domain where f′ vanishes or does not exist, and the x-coordinates of the inflection points, where f′′ CHANGES SIGN, then give the values asked for.
Three moves, always in the same order: the domain first; then f′, put in factored form, from which you keep the zeros and the values where it does not exist, provided they lie in the domain; then f′′, whose zeros you look for while CHECKING the sign change on both sides. A double root of f′′, or a sign change outside the domain, gives no inflection point.
a) f(x)=3x2−12x+5: the critical number, then the number of inflection points.
b) f(x)=2x3−3x2−36x+10: the smaller critical number, then the x-coordinate of the inflection point.
c) f(x)=x3+3x2+6x−1: the number of critical numbers, then the x-coordinate of the inflection point.
d) f(x)=0.5x3−2x2+1.5x: the two critical numbers.
e) f(x)=3x4−4x3−12x2+5: the smallest critical number, then the largest x-coordinate of an inflection point.
f) f(x)=x4−4x3+6x2: the critical number, then the number of inflection points.
g) f(x)=2x+x18: the smaller critical number, then the number of inflection points.
h) f(x)=x2+36: the critical number, then the positive x-coordinate of an inflection point.
i) f(x)=x−2x2: the two critical numbers.
j) f(x)=x6−x: the critical number where f′ vanishes, then the one where f′ does not exist.
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Answers
a)f′(x)=6x−12, f′′(x)=6; critical number 2, no inflection point
b)f′(x)=6(x−3)(x+2), f′′(x)=12x−6; critical numbers −2 and 3, inflection point at 21
c)f′(x)=3((x+1)2+1)>0, f′′(x)=6x+6; no critical number, inflection point at −1
d)f′(x)=1.5x2−4x+1.5; critical numbers 34±7≈0.451 and 2.215
f)f′(x)=4x(x2−3x+3), f′′(x)=12(x−1)2; critical number 0, no inflection point
g)f′(x)=x22(x2−9); critical numbers −3 and 3, no inflection point
h)f′(x)=(x2+3)2−12x, f′′(x)=(x2+3)336(x2−1); critical number 0, inflection points at ±1
i)f′(x)=(x−2)2x(x−4); critical numbers 0 and 4, no inflection point
j)f′(x)=26−x12−3x; critical numbers 4 and 6
The move that decides everything: FACTOR f′ and f′′ before looking for their zeros, then put each candidate through the double filter: is it in the domain, and, for an inflection point, does f′′ change sign? A zero of f′′ is only a candidate, exactly as a zero of f′ is only a candidate for an extremum.
a)
f′(x)=6x−12, zero at x=2: a single critical number. f′′(x)=6 never vanishes and stays positive: the curve is concave up everywhere, with no inflection point. We recover the vertex of the parabola, x=−2ab=612=2.
b)
f′(x)=6x2−6x−36=6(x2−x−6)=6(x−3)(x+2): critical numbers −2 and 3. f′′(x)=12x−6 vanishes at x=21 and goes from negative to positive: inflection point at x=0.5. Check: for a cubic, the inflection point is midway between the two critical numbers, 2−2+3=0.5.
c)
f′(x)=3x2+6x+6=3(x2+2x+2), with discriminant 4−8=−4<0: f′ never vanishes and stays positive, since f′(x)=3((x+1)2+1). No critical number, f is increasing on R. Yet f′′(x)=6x+6 vanishes and changes sign at x=−1: inflection point at x=−1. Pitfall: believing that a function with no critical number has no inflection point.
d)
f′(x)=1.5x2−4x+1.5, with discriminant 16−4×1.5×1.5=16−9=7. So x=2×1.54±7=34±7: x1≈0.451 and x2≈2.215. Along the way, f′′(x)=3x−4 puts the inflection point at x=34, midway between the two. Pitfall: dividing by 2 instead of 2a=3.
e)
f′(x)=12x3−12x2−24x=12x(x2−x−2)=12x(x−2)(x+1): critical numbers −1, 0 and 2. f′′(x)=36x2−24x−24=12(3x2−2x−2), with roots x=62±28=31±7, simple roots and therefore a sign change: inflection points at x≈−0.549 and x≈1.215. Pitfall: dividing by x instead of factoring it out, and losing the critical number 0.
f)
f′(x)=4x3−12x2+12x=4x(x2−3x+3); the quadratic has discriminant 9−12<0, so there is a single critical number, x=0. f′′(x)=12x2−24x+12=12(x−1)2 vanishes at x=1 but stays POSITIVE on both sides: the concavity does not change, so there is no inflection point. Pitfall: declaring an inflection point wherever f′′=0, when it is the sign change that counts.
g)
Domain R∖{0}. f′(x)=2−x218=x22(x2−9), zero at x=−3 and x=3; it does not exist at 0, but 0 is not in the domain, so it is not a critical number. f′′(x)=x336 never vanishes; it changes sign at 0, outside the domain, so there is no inflection point. Smaller critical number: −3.
h)
f′(x)=(x2+3)2−12x, zero at x=0 only. Quotient rule for f′′: f′′(x)=(x2+3)4−12(x2+3)2+12x⋅2(x2+3)⋅2x=(x2+3)3−12(x2+3)+48x2=(x2+3)336(x2−1), after cancelling a factor x2+3. It vanishes and changes sign at x=−1 and x=1: the positive inflection point is at x=1. Pitfall: forgetting the factor 2x from the chain rule when differentiating (x2+3)2.
i)
Domain R∖{2}. f′(x)=(x−2)22x(x−2)−x2=(x−2)2x2−4x=(x−2)2x(x−4): critical numbers 0 and 4, the value 2 being outside the domain. Writing f(x)=x+2+x−24, we get f′′(x)=(x−2)38, never zero: no inflection point.
j)
Domain (−∞,6]. Product rule: f′(x)=6−x+x⋅26−x−1=26−x2(6−x)−x=26−x12−3x. It vanishes at x=4 and does not exist at x=6, which IS in the domain: two critical numbers, 4 and 6. Next, f′′(x)=4(6−x)233x−24<0 on the domain: the curve is concave down, with no inflection point. Pitfall: forgetting the endpoint 6, where the tangent line becomes vertical.
Check: at each critical number found, the slope 0.002f(a+0.001)−f(a−0.001) computed on a calculator is almost zero, or blows up when f′ does not exist; on either side of the x-coordinate of an inflection point, the slope increases on one side and decreases on the other. If the concavity is the same on both sides, the point is not an inflection point.
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Part A: the basics (/50)
Exercise 1: The domain and the three types of asymptotes
A study of a function always starts with the domain and always ends with the sketch. In between, the asymptotes say what the curve does where we cannot follow it: at the edge of the domain and at infinity.
The annual infrastructure cost per dwelling served is g(d)=d4,000+0.9d+120 dollars, where d is the density in dwellings per hectare.
a) Give the algebraic domain of g and its domain of validity.
b) Calculate limd→0+g(d) and name the corresponding asymptote.
c) Calculate limd→+∞g(d). Is there a horizontal asymptote?
d) Show that the line y=0.9d+120 is an OBLIQUE asymptote, and say on which side the curve approaches it.
e) Give an urban-planning interpretation of the two asymptotes.
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Answers
a)Algebraic domain R∖{0}, domain of validity (0,+∞).
e)Very low density: nobody shares the network. Very high density: you have to build upward. Hence a minimum in between.
a)
The only forbidden value is d=0, so the algebraic domain is R∖{0}. Since a density is positive, the domain of validity is (0,+∞): that is the one we study.
b)
As d→0+, the term d4,000 tends to +∞ and the other two stay bounded, so g(d)→+∞. The line d=0 is a VERTICAL ASYMPTOTE. The sign is indeed +∞ because d approaches zero through positive values, the only side that exists in this context.
c)
As d→+∞, d4,000→0 but 0.9d→+∞, so g(d)→+∞. There is NO horizontal asymptote: a horizontal asymptote requires a finite limit, which is not the case here.
d)
We calculate the difference between the curve and the line: g(d)−(0.9d+120)=d4,000. This difference tends to 0 as d→+∞, which is exactly the definition of an OBLIQUE asymptote. Since d4,000>0 on the domain, the curve stays ABOVE its asymptote and approaches it from above. The general method is this: separate the polynomial part of degree 1 from the remainder, and if the remainder tends to 0, the polynomial part is the asymptote.
e)
The vertical asymptote says that at very low density, the cost per dwelling explodes: each isolated house requires its own length of water main, road and power line, and there is nobody to share it. The oblique asymptote says that at very high density the cost per dwelling does not level off, it STARTS RISING AGAIN with a slope of 90 cents per dwelling per hectare: you have to build upward, dig down, reinforce the networks. A curve that rises at both ends necessarily has a minimum in between, and that is the subject of the next exercise.
Exercise 2: The complete variation table
The variation table is the finished product of a study: it fits on three lines and contains everything, the sign of the derivative, the direction of variation, the notable values.
We continue the study of g(d)=d4,000+0.9d+120 on (0,+∞).
a) Calculate g′(d).
b) Solve g′(d)=0 on the domain, to the nearest unit.
c) Give the sign of g′ on either side, and conclude on the direction of variation.
d) Calculate the value of the minimum, then check with the second derivative test.
e) Write the variation table in one sentence and give the management reading.
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Answers
a)g′(d)=0.9−d24,000.
b)d=0.94,000≈66.7 dwellings per hectare.
c)g′<0 before, g′>0 after: absolute minimum.
d)g(66.7)=240 dollars, and g′′(d)=d38,000>0 confirms it.
e)Decreases from +∞ to 240, then increases toward +∞. The curve is flat around the minimum: we recommend a RANGE, from 50 to 90 dwellings per hectare.
a)
We rewrite g(d)=4,000d−1+0.9d+120, so g′(d)=−4,000d−2+0.9=0.9−d24,000, in dollars per dwelling per hectare.
b)
0.9−d24,000=0 gives d2=0.94,000≈4,444.4, so d=4,444.4≈66.7 dwellings per hectare. The negative root is rejected by the domain. We keep about 67 dwellings per hectare.
c)
For d<66.7, d2 is small so d24,000>0.9 and g′(d)<0: the function DECREASES. For d>66.7, the inequality reverses and g′(d)>0: the function INCREASES. The critical point is therefore a minimum, and it is ABSOLUTE on the domain since the function strictly decreases before it and strictly increases after it.
d)
g(66.7)=66.674,000+0.9×66.67+120=60+60+120=240 dollars per dwelling. The two variable terms are exactly 60 each, which is no accident: at the minimum, the shared-network term and the build-upward term balance. Second derivative test: g′′(d)=d38,000>0 on the whole domain, so the curve is concave up everywhere and the critical point is indeed a minimum.
e)
Table: on (0,66.7), g′<0 and g decreases from +∞ to 240; at d≈66.7, g′=0 and g reaches its minimum of 240 dollars; on (66.7,+∞), g′>0 and g increases from 240 toward +∞ along its oblique asymptote. Management reading: there is an OPTIMAL service density, about 67 dwellings per hectare, and moving away from it costs more in both directions. Since the curve is fairly flat around the minimum, with g(50)=245 and g(90)≈245 as well, the right recommendation is not one number but a RANGE, from 50 to 90 dwellings per hectare, which is far more robust information than an optimum to the nearest tenth.
Exercise 3: Increasing and decreasing behaviour, local extrema and the first derivative test
The sign of the derivative gives the direction of variation, and the sign changes give the extrema. Nothing more, and above all nothing less: a point where the derivative vanishes is not necessarily an extremum.
An attendance indicator is V(t)=t3−24t2+180t+400, t months after a reform, for 0≤t≤16.
a) Calculate V′(t) and factor it.
b) Give the critical points and the sign of V′ on each interval.
c) Deduce the direction of variation and the nature of each critical point.
d) Calculate V(6) and V(10).
e) Are these two extrema absolute on [0,16]? Justify by calculation.
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Answers
a)V′(t)=3(t−6)(t−10).
b)Critical points 6 and 10; V′>0, then V′<0, then V′>0.
c)Increases, decreases, increases: local maximum at 6, local minimum at 10.
d)V(6)=832 and V(10)=800.
e)No: V(0)=400 and V(16)=1,232 are the absolute minimum and maximum.
a)
V′(t)=3t2−48t+180=3(t2−16t+60)=3(t−6)(t−10), the factorization coming from 6+10=16 and 6×10=60. Differentiating and then factoring is what makes the sign study immediate; keeping the expanded form forces a discriminant table.
b)
The critical points are t=6 and t=10. The product (t−6)(t−10) is POSITIVE outside the roots and NEGATIVE between them, and the factor 3 changes nothing. So V′>0 on [0,6), V′<0 on (6,10) and V′>0 on (10,16].
c)
V increases on [0,6], decreases on [6,10], then increases on [10,16]. At t=6, the derivative goes from positive to negative: it is a local MAXIMUM. At t=10, it goes from negative to positive: it is a local MINIMUM. This is the first derivative test, and it needs no second derivative.
d)
V(6)=216−864+1,080+400=832 and V(10)=1,000−2,400+1,800+400=800. The gap between the peak and the trough is only 32 points: the reform produced a peak followed by a slight dip, and not the collapse that a badly framed graph might suggest.
e)
NO, and that is the trap of the exercise. We must compare with the values at the ENDPOINTS: V(0)=400 and V(16)=4,096−6,144+2,880+400=1,232. The absolute maximum is therefore 1,232, reached at t=16, and not 832; the absolute minimum is 400, reached at t=0, and not 800. Neither of the two LOCAL extrema is absolute. The word “local” is not a vocabulary ornament: it means that the comparison was made only with the immediate neighbours, and exercise 7 will draw the complete method from it.
Exercise 4: Concavity, inflection points, and the test that falls silent
The second derivative decides the shape of the dip or the bump, gives the inflection point, and provides a quick test of the nature of a critical point. This test has a flaw, and you need to know it before the exam.
We continue with V(t)=t3−24t2+180t+400 on [0,16].
a) Calculate V′′(t) and give its sign on [0,16].
b) Find the inflection point and calculate its y-coordinate.
c) Apply the second derivative test to the two critical points t=6 and t=10.
d) Apply the same test to f(x)=x4 and then to h(x)=x3 at x=0. What happens?
e) State the rule that follows, and say which test to use when the other fails.
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Answers
a)V′′(t)=6(t−8): negative before 8, positive after.
b)Inflection point at t=8, with y-coordinate V(8)=816.
c)V′′(6)=−12<0 so a maximum; V′′(10)=12>0 so a minimum.
d)The test is silent in both cases, yet x4 has a minimum and x3 has no extremum.
e)When the second derivative vanishes, go back to the first derivative test, which always reaches a conclusion.
a)
V′(t)=3t2−48t+180, so V′′(t)=6t−48=6(t−8). It is NEGATIVE on [0,8) and POSITIVE on (8,16]. The curve is therefore concave down before t=8, and concave up after.
b)
V′′ vanishes at t=8 AND changes sign there, so t=8 is an INFLECTION POINT. Its y-coordinate is V(8)=512−1,536+1,440+400=816. Both conditions are necessary: a second derivative that vanishes without changing sign gives no inflection point, as part d) will show.
c)
V′′(6)=6×(−2)=−12<0, so the curve is concave down at that point: t=6 is a local MAXIMUM. V′′(10)=6×2=12>0, concave up: t=10 is a local MINIMUM. We recover the conclusions of exercise 3 in two evaluations, with no sign chart at all. That is the point of the test, and it is why we use it when the second derivative is easy to calculate.
d)
For f(x)=x4: f′(x)=4x3 vanishes at 0, and f′′(x)=12x2 is ALSO 0 there. The test is inconclusive. Yet f(x)=x4>0 for every x=0, so x=0 is a minimum. For h(x)=x3: h′(x)=3x2 and h′′(x)=6x both vanish at 0, the test is inconclusive again, and this time x=0 is NOT an extremum, since h is strictly increasing. Two opposite situations, one and the same verdict from the test: it is SILENT.
e)
The rule: when f′′(a)=0 at a critical point, the second derivative test says nothing, in either direction. You must then go back to the FIRST DERIVATIVE TEST, which examines the SIGN of f′ on either side of the point and which always reaches a conclusion. For x4, f′ goes from negative to positive, so a minimum; for x3, f′ stays positive on both sides, so no extremum. The first derivative test is slower and never silent; the second derivative test is fast and fallible. On an exam, start with the second and fall back on the first as soon as you get zero.
Exercise 5: Studying a logistic model
The logistic model describes anything that spreads through a closed population: a service, a practice, an idea. Its complete study comes down to four numbers, and the most useful of the four is not the ceiling.
The cumulative adoptions of a service are N(t)=1+29e−0.5t9,000, t in months.
a) Calculate N(0) and limt→+∞N(t).
b) Show that N′(t)=(1+29e−0.5t)2130,500e−0.5t and give its sign.
c) The inflection point is reached when 29e−0.5t=1. Calculate its date and the corresponding y-coordinate.
d) Calculate the adoption rate at the inflection point.
e) For a promotion campaign, what is the most useful piece of information in this study?
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Answers
a)N(0)=300 adoptions and ceiling 9,000.
b)N′(t)=(1+29e−0.5t)2130,500e−0.5t>0 everywhere.
c)t=2ln29≈6.73 months, at 4,500 adoptions, that is, half the ceiling.
d)1,125 adoptions per month, the maximum rate.
e)The date of the inflection point: that is where the campaign stops becoming more effective.
a)
N(0)=1+299,000=309,000=300 adoptions at launch. As t→+∞, e−0.5t→0, so the denominator tends to 1 and N(t)→9,000. The line y=9,000 is the horizontal asymptote, that is, the size of the attainable market.
b)
We differentiate N(t)=9,000(1+29e−0.5t)−1 by the chain rule: N′(t)=−9,000(1+29e−0.5t)−2×29×(−0.5)e−0.5t. The two minus signs cancel and 9,000×29×0.5=130,500, hence the result. The numerator is strictly positive and the denominator is a square, so N′>0 everywhere: cumulative adoptions can only grow, which is the nature of a cumulative total.
c)
29e−0.5t=1 gives e−0.5t=291, so −0.5t=−ln29 and t=2ln29≈2×3.367=6.73 months. The y-coordinate is then N=1+19,000=4,500, exactly HALF the ceiling. This is a general property of the logistic model: its inflection point is always at half height.
d)
N′(6.73)=(1+1)2130,500×291=44,500=1,125 adoptions per month. This is the MAXIMUM rate: before it, the spread speeds up; after it, it slows down while remaining positive.
e)
It is not the ceiling, which everyone can guess, it is the DATE of the inflection point. It says when the campaign stops becoming more effective: through the seventh month, each month recruits more than the previous one, and the promotional budget justifies itself; after that, the same effort produces less and less, because there are fewer and fewer people left to convince. The decision to cut or redirect spending is therefore made around t=6.7, and not when the curve looks flat, which would come too late. Note also that this model is an assumption, not an observation: the ceiling of 9,000 and the coefficient 0.5 were fitted on the first months, so the date of the inflection point must be recalculated as data arrive.
Part B: problems and reasoning (/50)
Exercise 6: Reading the function from its derivative
A statistics institute often publishes the RATE of an indicator rather than the indicator itself: monthly change in employment, rate of inflation, flow of new cases. You then have to work back from the derivative to the function.
The graph shows f′(t)=0.2(t−2)(t−7), the monthly rate of change of an indicator, t in months.
a) Give the sign of f′ on [0,10] and deduce the direction of variation of f.
b) Give the nature of f at t=2 and at t=7.
c) In which month does the indicator fall the fastest? Justify without calculating f.
d) What does the number f′(0)=2.8 represent?
e) A reader concludes that “the indicator is zero at t=2 and at t=7”. Correct this.
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Answers
a)f′>0, then f′<0, then f′>0: f increases, decreases, then increases.
b)Local maximum at t=2, local minimum at t=7.
c)At t=4.5, where f′=−1.25 points per month; it is also the inflection point of f.
d)The initial rate, 2.8 points per month, and not the initial value.
e)It is the RATE that vanishes: the indicator levels off there, it is not zero.
a)
The product (t−2)(t−7) is positive outside the roots and negative between them, and the factor 0.2 changes nothing. So f′>0 on [0,2), f′<0 on (2,7) and f′>0 on (7,10]. The indicator f INCREASES on [0,2], DECREASES on [2,7], then increases again on [7,10].
b)
At t=2, f′ goes from positive to negative: f reaches a local MAXIMUM there. At t=7, f′ goes from negative to positive: f reaches a local MINIMUM there. These two conclusions are read solely from the SIGN changes of the given curve, and not from its height.
c)
The indicator falls the fastest where f′ is the most NEGATIVE, that is, at the minimum of the plotted parabola. A parabola has its vertex midway between its roots: 22+7=4.5, and f′(4.5)=0.2×2.5×(−2.5)=−1.25 points per month. Incidentally, this point is an INFLECTION POINT of f: f′′, which is the slope of the plotted curve, changes sign there.
d)
f′(0)=0.2×(−2)×(−7)=2.8 is the initial RATE of the indicator, in points per month. It is not the value of the indicator at the start: the graph does not give it, and no reading can supply it. A derivative determines a function only up to a constant, and only an additional piece of data, the value at one point, would fix that constant.
e)
The reader has confused f and f′. What vanishes at t=2 and at t=7 is the RATE: the indicator stops changing there, it levels off, then moves again. The indicator itself is neither zero nor remarkable in value at those points; it simply reaches its local maximum and local minimum. This is the most common confusion in front of a published graph, and it has a concrete consequence: announcing that employment is zero because its monthly change is zero makes no sense at all, yet the sentence gets written without anyone noticing. The rule is to always check, on the vertical axis, what the curve MEASURES.
Exercise 7: Absolute extrema and the three kinds of candidates
A decision always concerns a bounded interval: a budget between two ceilings, a price between two limits, a period between two dates. On such an interval, the best choice is found from a finite list of candidates, and all you need to do is compare them.
We return to V(t)=t3−24t2+180t+400, whose critical points are t=6 and t=10.
a) What are the three kinds of candidates for an absolute extremum on a closed bounded interval?
b) List the candidates on [0,16].
c) Calculate the four values and give the absolute maximum and minimum.
d) Start over on [5,11].
e) On the OPEN interval (0,16), does the absolute maximum exist? Justify.
Show the solution
Answers
a)Critical points, points of non-differentiability, endpoints of the interval.
b)t=0, t=6, t=10 and t=16: four candidates.
c)Absolute maximum 1,232 at t=16, absolute minimum 400 at t=0.
d)V(5)=825 and V(11)=807: maximum 832 at t=6, minimum 800 at t=10.
e)No: the endpoint 16 is excluded and the function is increasing there, so the value is never reached.
a)
First, the CRITICAL POINTS, where f′ vanishes. Second, the points where f is NOT DIFFERENTIABLE: a corner, a jump or a vertical tangent, seen in chapter 3. Third, the ENDPOINTS of the interval. Forgetting the third kind is the most common mistake, and exercise 3 has already given an example of it.
b)
V is a polynomial, so it is differentiable everywhere: the second kind is empty. That leaves the critical points t=6 and t=10, and the endpoints t=0 and t=16. The list therefore has four candidates.
c)
V(0)=400, V(6)=832, V(10)=800, V(16)=1,232. The absolute MAXIMUM is 1,232, reached at t=16, and the absolute MINIMUM is 400, reached at t=0. Both absolute extrema are at the endpoints, and neither critical point is one. Note that the method requires NO sign chart: you compare four numbers, and that is all.
d)
On [5,11], the candidates are the endpoints 5 and 11 and the two critical points, which always belong to the interval. V(5)=125−600+900+400=825 and V(11)=1,331−2,904+1,980+400=807. Comparing 825, 832, 800 and 807: the absolute maximum is 832 at t=6 and the absolute minimum is 800 at t=10. The same problem on another interval therefore gives another answer, and this time the critical points win.
e)
NO. On (0,16), the endpoint 16 is excluded, yet V is strictly increasing on [10,16]: we can get as close to 1,232 as we like without ever reaching it. The value V(6)=832 is indeed the largest LOCAL maximum, but it is smaller than V(15)=1,075, so it is not an absolute maximum. No absolute maximum exists on the open interval. That is why the theorem guaranteeing the existence of extrema requires a CLOSED and BOUNDED interval and a CONTINUOUS function: three hypotheses, none of them decorative, just like the intermediate value theorem of chapter 2.
Exercise 8: Five statements to correct
Each of these five sentences has been heard in class. Say whether it is true or false, and if it is false, write the correct statement.
A correction that merely says “false” earns no marks: it is the correct sentence that is asked for.
a) If f′(a)=0, then f has an extremum at a.
b) A curve can have a horizontal asymptote and an oblique asymptote on the same side.
c) An inflection point is a point where f′′ vanishes.
d) A local maximum is always an absolute maximum.
e) To sketch a curve, it is enough to calculate about ten points and join them.
Show the solution
Answers
a)False: x3 has f′(0)=0 with no extremum. It is a critical point, hence a candidate.
b)False: the two would require incompatible limits on the same side.
c)False: f′′ must vanish AND change sign.
d)False: V(6)=832 is a local maximum exceeded by V(16)=1,232.
e)False: we sketch from the study, and the points only serve to place the curve.
a)
FALSE. f(x)=x3 has f′(0)=0 and no extremum at 0, since it is strictly increasing. A point where the derivative vanishes is called a CRITICAL POINT or stationary point, and it is only a CANDIDATE. Correct statement: if f has an extremum at an interior point where it is differentiable, then f′(a)=0; the converse is false.
b)
FALSE, and it is impossible on the same side. A horizontal asymptote requires a finite limit limf=L; an oblique asymptote with nonzero slope requires limf=±∞. The two limits cannot coexist at +∞. Correct statement: a curve has at most ONE asymptote of this kind on each side, horizontal or oblique, never both. It can, however, have a horizontal one at −∞ and an oblique one at +∞.
c)
FALSE, the decisive condition is missing. f′′ must vanish AND CHANGE SIGN. Counterexample: f(x)=x4 has f′′(x)=12x2, which vanishes at 0 without changing sign, and the curve stays concave up on both sides: it is not an inflection point. Correct statement: an inflection point is a point where the CONCAVITY changes, which a sign change of f′′ signals.
d)
FALSE. Exercise 7 gives the counterexample: on [0,16], the local maximum V(6)=832 is far exceeded by V(16)=1,232. Correct statement: a local maximum is compared only with its immediate neighbours; for an absolute maximum, all the candidates on the interval must be compared, endpoints included.
e)
FALSE, and it is the reason the whole chapter exists. A table of values shows neither the asymptotes, nor the inflection points, nor the exact extrema, and it can miss entirely a rapid variation between two calculated points. For g(d)=d4,000+0.9d+120, about ten points would reveal neither the vertical asymptote at d=0, nor the oblique asymptote, nor the exact minimum at 4,000/0.9. Correct statement: a curve is sketched from its STUDY, domain, limits, asymptotes, sign of f′, sign of f′′, and the calculated points serve only to place the curve once its shape is known.
Exercise 9: Problem: the tax revenue curve
Tax revenue is the product of a rate and a taxable base, and the base shrinks when the rate rises: fewer hours declared, more avoidance, less activity. The product of two opposite effects has a maximum, and that is the whole curve-sketching chapter applied to a public policy question.
The taxable base is modelled by B(τ)=90(1−τ)2 billion dollars, where τ is the tax rate, between 0 and 1. The revenue is R(τ)=τB(τ).
a) Expand R(τ) and give R(0) and R(1).
b) Calculate R′(τ) and factor it.
c) Find the rate that maximizes the revenue and the corresponding revenue, to the nearest hundredth.
d) Check the nature of the point with the second derivative, and find the inflection point.
e) The government currently taxes at 55%. Would a rate cut increase the revenue? And at 20%?
Show the solution
Answers
a)R(τ)=90τ−180τ2+90τ3, with R(0)=R(1)=0.
b)R′(τ)=90(1−τ)(1−3τ).
c)τ=31≈33.33%, for R≈13.33 billion dollars.
d)R′′(31)=−180<0: maximum. Inflection at τ=32, at 6.67 billion.
e)At 55% yes, the branch is decreasing; at 20% no, we are before the peak.
a)
R(τ)=90τ(1−τ)2=90τ(1−2τ+τ2)=90τ−180τ2+90τ3 billion dollars. R(0)=0: a zero rate raises nothing. R(1)=90−180+90=0: a rate of 100% raises nothing either, because the taxable base collapses to zero. Both ends are zero, so there must be a maximum in between.
b)
R′(τ)=90−360τ+270τ2. We can factor directly with the product rule: R′(τ)=90(1−τ)2+90τ×2(1−τ)(−1)=90(1−τ)[(1−τ)−2τ]=90(1−τ)(1−3τ). The factored form gives the roots without a discriminant: τ=1 and τ=31.
c)
On (0,1), the factor (1−τ) is positive, so the sign of R′ is that of (1−3τ): positive for τ<31, negative beyond. The revenue increases then decreases: the maximum is at τ=31≈33.3%. Its value is R(31)=90×31×(32)2=90×31×94=27360≈13.33 billion dollars.
d)
R′′(τ)=−360+540τ. At τ=31: R′′=−360+180=−180<0, so it is indeed a maximum. R′′ vanishes at τ=540360=32≈66.7% and changes sign there: this is the INFLECTION point, with y-coordinate R(32)=90×32×91=320≈6.67 billion. Beyond this rate, the revenue keeps falling but the fall slows down.
e)
At 55%, the rate is above 33.3%: the revenue is on the DECREASING branch, so lowering the rate would increase it. We can put a number on it: R(0.55)=90×0.55×0.452≈10.02 billion, against 13.33 at 33.3%. At 20%, however, the rate is below the maximum: lowering it further would make the revenue FALL, R(0.20)=90×0.20×0.64=11.52 billion against 13.33 at the peak. The same sentence, “cutting taxes increases revenue”, is therefore true on one side of the peak and false on the other, and the whole debate is about which side we are on. Finally, remember that the taxable base model, 90(1−τ)2, is an ASSUMPTION: changing its exponent moves the peak, and no data are provided here to justify it. A flawless curve-sketching study of an unverified model is still just a flawless curve-sketching study, nothing more.
Exercise 10: Problem: criticizing a published variation table
Here is an excerpt from a methodological appendix to a report. Three of its four statements are false, and the last is incompatible with the others. The whole exercise consists of taking the paragraph apart and then rewriting it.
“The function f is defined and differentiable on [0,20]. We have f′(t)>0 on [0,8) and f′(t)<0 on (8,20], so f has a minimum at t=8. Moreover f′′(t)<0 on the whole interval, so f is decreasing. Finally, f(8)=140 and f(20)=165.”
a) Is the conclusion “f has a minimum at t=8” correct? Correct it.
b) Is the statement “f′′(t)<0 so f is decreasing” correct? Correct it.
c) Are the values f(8)=140 and f(20)=165 compatible with the announced sign of f′?
d) Assuming the sign of f′ is correct and f(8)=140, what can we say about f(20)?
e) Rewrite the paragraph in three correct sentences.
Show the solution
Answers
a)False: a derivative going from positive to negative gives a MAXIMUM.
b)False: f′′<0 says the curve is concave down, not that f is decreasing.
c)Incompatible: f′<0 on (8,20] forces f(20)<140.
d)f(20)<140, and the concavity indicates that the decline speeds up.
e)Increase then decrease, maximum of 140 at t=8, concave down, hence f(20)<140.
a)
No. A derivative that goes from POSITIVE to NEGATIVE signals a MAXIMUM, not a minimum: the function rises up to t=8 and then falls back. The author reversed the first derivative test. The correct sentence is: f has a maximum at t=8.
b)
No, and the confusion is about the order of differentiation. f′′<0 says that f′ DECREASES, that is, that the curve is concave down; the direction of variation of f is read from the sign of f′, not from that of f′′. Besides, the paragraph itself announces f′>0 on [0,8), so f INCREASES there. The correct sentence is: f′′<0 on [0,20], so f is concave down on the whole interval. Incidentally, this concavity is perfectly consistent with the rest: a derivative that decreases while changing sign exactly once is just what the paragraph describes, and it is the only correct statement it contains.
c)
No, they are incompatible. If f′<0 on (8,20], then f strictly decreases on that interval, so f(20)<f(8)=140. Yet the report announces f(20)=165, a HIGHER value. Two statements in the paragraph contradict each other, and no additional data can reconcile them: one of the two is false, and you have to go back to the data to find out which.
d)
We can state that f(20)<140, and nothing more precise without knowing f′ in detail. That is already useful information: it is enough to reject the value 165, and it gives an upper bound for any forecast. We can add a consequence of the concavity: with f′ decreasing on (8,20], the decline SPEEDS UP, so f(20) is probably well below 140, not just under it.
e)
Here is a correct paragraph: “The function f is defined and differentiable on [0,20]. It increases on [0,8] and decreases on [8,20], so it has a maximum at t=8, where f(8)=140. Since f′′<0 on the whole interval, the curve is concave down: the growth slows down before the peak and the decline gathers pace after it, so that f(20)<140.” Three sentences, no contradiction, and each statement tied to the right derivative. This is the expected format of any methodological appendix, and it is the finished product of the chapter.
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