Differential Calculus for Social Science 201-103 • CEGEP, Montreal

Corrected practice final exam: differential calculus (201-103)

This three-hour practice final covers the differential calculus course 201-103 of the Social Science program with mathematics: limits and continuity, differentiation rules, the exponential and the logarithm, curve sketching, constrained optimization, then the applications to economics that belong to the course, marginal analysis, the elasticity of demand and related rates.

The thread of the exam is the thread of the course: the derivative first describes a curve, then makes a decision. Every exercise of the second part asks for a calculation and for the sentence in economics that the calculation allows.

The ten exercises are worth ten points each. The first five are about the tools: limits and extension by continuity (exercise 1), the product, quotient and chain rules (exercise 2), exponential growth and doubling time (exercise 3), the full study of a cubic (exercise 4) and the minimum cost of a container (exercise 5). The next five are about economics: maximum profit by R′(q)=C′(q)R'(q)=C'(q) and minimum average cost (exercise 6), elasticity at the optimal price and the revenue-maximizing price (exercise 7), related rates applied to cost, profit and the demand for housing (exercise 8), five statements to correct (exercise 9), and a management committee report to take apart line by line, in which average cost was mistaken for marginal cost (exercise 10).

10 corrected exercises • 100 points • 180 minutes

This chapter is part of 201-103, every chapter with its set and sheet

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Course recap

  • • Limit of a quotient of polynomials at infinity: numerator of higher degree, infinite; equal degrees, ratio of the leading coefficients; denominator of higher degree, zero.
  • • Forms 00\dfrac{0}{0}: factor, or multiply by the conjugate when there is a radical.
  • • Continuity at aa: f(a)f(a) exists, the limit exists, and the two are equal.
  • • Product: (uv)′=u′v+uv′\left(uv\right)'=u'v+uv'. Quotient: (uv)′=u′v−uv′v2\left(\dfrac{u}{v}\right)'=\dfrac{u'v-uv'}{v^{2}}. Chain: (un)′=nun−1u′\left(u^{n}\right)'=nu^{n-1}u'.
  • • (ekx)′=k ekx\left(e^{kx}\right)'=k\,e^{kx} and (ln⁡u)′=u′u\left(\ln u\right)'=\dfrac{u'}{u}. The RELATIVE growth rate of an exponential is constant.
  • • Critical point: f′(x)=0f'(x)=0. A CHANGE OF SIGN of f′f', or the sign of f′′f'', is needed to conclude that there is an extremum.
  • • On a CLOSED interval, compare the critical points AND the endpoints.
  • • Inflection point: f′′f'' vanishes AND changes sign.
  • • Constrained optimization: write the objective, write the constraint, substitute, differentiate, check the endpoints.
  • • MARGINAL means derivative, AVERAGE means quotient. Maximum profit: R′(q)=C′(q)R'(q)=C'(q). Minimum average cost: C′(q)=C‾(q)C'(q)=\overline{C}(q).
  • • E=dqdppqE=\dfrac{dq}{dp}\dfrac{p}{q}; the profit optimum is always in the elastic range; the profit-maximizing price is higher than the revenue-maximizing price.
  • • RELATED RATES: dPdt=P′(q)dqdt\dfrac{dP}{dt}=P'(q)\dfrac{dq}{dt}. Profit can fall while production rises.

Part A: tools of calculus (/50)

Exercise 1: Limits and continuity

Four limits and a continuity question, on the forms the course has covered.

  • a) Evaluate lim⁡x→32x2−18x−3\displaystyle\lim_{x\to 3}\dfrac{2x^{2}-18}{x-3}.
  • b) Evaluate lim⁡x→4x−2x−4\displaystyle\lim_{x\to 4}\dfrac{\sqrt{x}-2}{x-4}.
  • c) Evaluate lim⁡x→+∞3x2+5x2x2−7\displaystyle\lim_{x\to +\infty}\dfrac{3x^{2}+5x}{2x^{2}-7} and lim⁡x→+∞4x+1x2+3\displaystyle\lim_{x\to +\infty}\dfrac{4x+1}{x^{2}+3}.
  • d) For which value of kk is the function defined by f(x)=2x2−18x−3f(x)=\dfrac{2x^{2}-18}{x-3} for x≠3x\neq 3 and f(3)=kf(3)=k continuous at 3?
  • e) State the three conditions for continuity at a point and say which one fails if k=10k=10.

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  • a) 2(x−3)(x+3)x−3=2(x+3)→12\dfrac{2(x-3)(x+3)}{x-3}=2(x+3)\to 12.
  • b) By the conjugate, 1x+2→14=0.25\dfrac{1}{\sqrt{x}+2}\to\dfrac{1}{4}=0.25.
  • c) Equal degrees: 32\dfrac{3}{2}. Denominator of higher degree: 0.
  • d) k=12k=12: the discontinuity is removable.
  • e) f(a)f(a) exists, the limit exists, the two are equal. With k=10k=10, it is the third that fails.
a)

The form is indeterminate, 00\dfrac{0}{0}. Factor: 2x2−18=2(x2−9)=2(x−3)(x+3)2x^{2}-18=2\left(x^{2}-9\right)=2\left(x-3\right)\left(x+3\right), so for x≠3x\neq 3 the expression equals 2(x+3)2\left(x+3\right). The limit is 2×6=122\times 6=12.

b)

Form 00\dfrac{0}{0} again. Multiply by the conjugate: x−2x−4×x+2x+2=x−4(x−4)(x+2)=1x+2\dfrac{\sqrt{x}-2}{x-4}\times \dfrac{\sqrt{x}+2}{\sqrt{x}+2}=\dfrac{x-4}{\left(x-4\right)\left(\sqrt{x}+2\right)}=\dfrac{1}{\sqrt{x}+2}. The limit is 12+2=14\dfrac{1}{2+2}=\dfrac{1}{4}.

c)

For the first, the numerator and denominator have equal degrees: the limit is the ratio of the leading coefficients, 32\dfrac{3}{2}. For the second, the denominator has the higher degree: the limit is 0. The general rule comes in three cases: numerator of higher degree, the limit is infinite; equal degrees, ratio of the leading coefficients; denominator of higher degree, limit zero.

d)

We need k=lim⁡x→3f(x)=12k=\displaystyle\lim_{x\to 3}f(x)=12. The function extended by f(3)=12f(3)=12 is then continuous, and the discontinuity is called REMOVABLE: it came only from a single missing point in the graph.

e)

Three conditions: f(a)f(a) must EXIST; the limit at aa must EXIST; and the two must be EQUAL. With k=10k=10, the first two are satisfied, f(3)=10f(3)=10 and the limit is 12, but the third fails: f(3)≠lim⁡x→3f(x)f(3)\neq \lim_{x\to 3}f(x). The graph therefore has an isolated point at 10 while the curve passes through 12.

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Exercise 2: The differentiation rules

Three derivatives to compute, each on a different rule, then a reading of the derivative.

  • a) Differentiate f(x)=(3x2+1)(x−4)f(x)=\left(3x^{2}+1\right)\left(x-4\right) by the product rule, then check by expanding first.
  • b) Differentiate g(x)=2x+5x2+1g(x)=\dfrac{2x+5}{x^{2}+1}.
  • c) Differentiate h(x)=(x2−3x)5h(x)=\left(x^{2}-3x\right)^{5}.
  • d) Compute f′(2)f'(2) and give the equation of the tangent to ff at x=2x=2.
  • e) For which values of xx is the function ff decreasing?

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  • a) f′(x)=9x2−24x+1f'(x)=9x^{2}-24x+1, by the product rule and by expanding.
  • b) g′(x)=−2(x2+5x−1)(x2+1)2g'(x)=\dfrac{-2\left(x^{2}+5x-1\right)}{\left(x^{2}+1\right)^{2}}.
  • c) h′(x)=5(x2−3x)4(2x−3)h'(x)=5\left(x^{2}-3x\right)^{4}\left(2x-3\right).
  • d) f′(2)=−11f'(2)=-11 and f(2)=−26f(2)=-26, so the tangent is y=−11x−4y=-11x-4.
  • e) ff is decreasing on (0.042, 2.624)\left(0.042,\ 2.624\right), between the roots of 9x2−24x+19x^{2}-24x+1.
a)

Product rule: f′(x)=6x(x−4)+(3x2+1)(1)=6x2−24x+3x2+1=9x2−24x+1f'(x)=6x\left(x-4\right)+\left(3x^{2}+1\right)\left(1\right)=6x^{2}-24x+3x^{2}+1=9x^{2}-24x+1. Check: expanding, f(x)=3x3−12x2+x−4f(x)=3x^{3}-12x^{2}+x-4, so f′(x)=9x2−24x+1f'(x)=9x^{2}-24x+1. The two methods agree.

b)

Quotient rule: g′(x)=2(x2+1)−(2x+5)(2x)(x2+1)2=2x2+2−4x2−10x(x2+1)2=−2x2−10x+2(x2+1)2g'(x)=\dfrac{2\left(x^{2}+1\right)-\left(2x+5\right)\left(2x\right)}{\left(x^{2}+1\right)^{2}}=\dfrac{2x^{2}+2-4x^{2}-10x}{\left(x^{2}+1\right)^{2}}=\dfrac{-2x^{2}-10x+2}{\left(x^{2}+1\right)^{2}}. We can factor out −2-2: g′(x)=−2(x2+5x−1)(x2+1)2g'(x)=\dfrac{-2\left(x^{2}+5x-1\right)}{\left(x^{2}+1\right)^{2}}.

c)

Chain rule: h′(x)=5(x2−3x)4(2x−3)h'(x)=5\left(x^{2}-3x\right)^{4}\left(2x-3\right). The classic error is to forget the factor 2x−32x-3, that is, the derivative of the inside function.

d)

f′(2)=9×4−48+1=36−48+1=−11f'(2)=9\times 4-48+1=36-48+1=-11. And f(2)=(12+1)(−2)=−26f(2)=\left(12+1\right)\left(-2\right)=-26. Tangent: y=−26−11(x−2)=−11x−4y=-26-11\left(x-2\right)=-11x-4.

e)

ff is decreasing where f′(x)<0f'(x)<0, that is, 9x2−24x+1<09x^{2}-24x+1<0. Roots: x=24±576−3618=24±54018x=\dfrac{24\pm \sqrt{576-36}}{18}=\dfrac{24\pm \sqrt{540}}{18}, with 540≈23.238\sqrt{540}\approx 23.238, so x1≈0.0423x_{1}\approx 0.0423 and x2≈2.624x_{2}\approx 2.624. The parabola 9x2−24x+19x^{2}-24x+1 opens upward, so it is negative BETWEEN its roots: ff is decreasing on the interval (0.042, 2.624)\left(0.042,\ 2.624\right) and increasing elsewhere.

Exercise 3: Exponential and logarithm

The two transcendental functions of the course, in their most frequent use in the social sciences: growth and diminishing returns.

A municipal population follows P(t)=500 e0.04tP(t)=500\,e^{0.04t}, where tt is in years. The revenue of a campaign follows R(x)=200ln⁡(x+1)R(x)=200\ln\left(x+1\right), where xx is the spending in thousands of dollars.

  • a) Compute P′(t)P'(t) and P′(10)P'(10), then interpret.
  • b) Show that the RELATIVE growth rate of PP is constant and give its value.
  • c) After how many years does the population double?
  • d) Compute R′(x)R'(x) and R′(9)R'(9), then interpret.
  • e) What does the sign of R′′(x)R''(x) say about the campaign?

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  • a) P′(t)=20 e0.04tP'(t)=20\,e^{0.04t} and P′(10)≈29.84P'(10)\approx 29.84 people per year: the growth is speeding up.
  • b) P′(t)P(t)=0.04\dfrac{P'(t)}{P(t)}=0.04, that is 4% per year, whatever tt is.
  • c) t=ln⁡20.04≈17.33t=\dfrac{\ln 2}{0.04}\approx 17.33 years, against 17.5 by the rule of 70.
  • d) R′(x)=200x+1R'(x)=\dfrac{200}{x+1}, so R′(9)=20R'(9)=20 against R′(0)=200R'(0)=200: diminishing returns.
  • e) R′′(x)<0R''(x)<0 everywhere: concave down. Spend until R′(x)=1R'(x)=1, that is x=199x=199 thousand.
a)

P′(t)=500×0.04 e0.04t=20 e0.04tP'(t)=500\times 0.04\,e^{0.04t}=20\,e^{0.04t}. At t=10t=10: P′(10)=20 e0.4≈20×1.49182≈29.84P'(10)=20\,e^{0.4}\approx 20\times 1.49182\approx 29.84 people per year. The population is therefore growing by about 30 people per year at that moment, against 20 per year at the start: the growth itself is speeding up.

b)

The relative rate is P′(t)P(t)=20 e0.04t500 e0.04t=20500=0.04\dfrac{P'(t)}{P(t)}=\dfrac{20\,e^{0.04t}}{500\,e^{0.04t}}=\dfrac{20}{500}=0.04, that is 4% per year, independent of tt. This is the property that defines exponential growth: the ABSOLUTE change increases, the RELATIVE change stays constant.

c)

Solve 500 e0.04t=1,000500\,e^{0.04t}=1{,}000, so e0.04t=2e^{0.04t}=2 and 0.04t=ln⁡20.04t=\ln 2, hence t=ln⁡20.04=0.6931470.04≈17.33t=\dfrac{\ln 2}{0.04}=\dfrac{0.693147}{0.04}\approx 17.33 years. This agrees with the rule of 70: 704=17.5\dfrac{70}{4}=17.5 years, the difference coming from rounding 69.369.3 up to 70.

d)

R′(x)=200x+1R'(x)=\dfrac{200}{x+1}. At x=9x=9: R′(9)=20010=20R'(9)=\dfrac{200}{10}=20. The next thousand dollars would therefore bring in about 20 thousand dollars of extra revenue, against 200 for the very first thousand: the return on spending collapses as spending rises.

e)

R′′(x)=−200(x+1)2<0R''(x)=-\dfrac{200}{\left(x+1\right)^{2}}<0 for all x>−1x>-1: the function is CONCAVE DOWN everywhere, which is the mathematical translation of diminishing returns. Each additional dollar brings in less than the one before, without ever bringing in a negative amount, since R′>0R'>0. The campaign is therefore always worth pursuing in terms of gross revenue, but R′(x)R'(x) must be compared with the cost of the next thousand, which is 1, to know how far to go: here 200x+1=1\dfrac{200}{x+1}=1 gives x=199x=199 thousand dollars.

Exercise 4: Complete study of a function

Analysis of f(x)=x3−6x2+9x+2f(x)=x^{3}-6x^{2}+9x+2: increase and decrease, extrema, concavity, inflection.

-112345-2-112345678y = f(x)
  • a) Compute f′f' and find the critical points.
  • b) Draw up the sign chart of f′f' and classify the extrema.
  • c) Compute f′′f'' and find the inflection point.
  • d) Give the intervals of concavity.
  • e) On [0, 4]\left[0,\ 4\right], where are the ABSOLUTE maximum and minimum?

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  • a) f′(x)=3(x−1)(x−3)f'(x)=3(x-1)(x-3): critical points at 1 and 3.
  • b) Local maximum f(1)=6f(1)=6, local minimum f(3)=2f(3)=2.
  • c) f′′(x)=6x−12f''(x)=6x-12 vanishes at x=2x=2: inflection at (2, 4)(2,\ 4), halfway between the extrema.
  • d) Concave down before 2, concave up after 2.
  • e) f(0)=2f(0)=2, f(1)=6f(1)=6, f(3)=2f(3)=2, f(4)=6f(4)=6: absolute maximum 6 at x=1x=1 AND x=4x=4, absolute minimum 2 at x=0x=0 AND x=3x=3.
a)

f′(x)=3x2−12x+9=3(x2−4x+3)=3(x−1)(x−3)f'(x)=3x^{2}-12x+9=3\left(x^{2}-4x+3\right)=3\left(x-1\right)\left(x-3\right). The critical points are therefore x=1x=1 and x=3x=3.

b)

f′f' is an upward-opening parabola, so it is positive before 1, negative between 1 and 3, positive after 3. The function INCREASES on (−∞, 1]\left(-\infty,\ 1\right], DECREASES on [1, 3]\left[1,\ 3\right] and increases on [3, +∞)\left[3,\ +\infty\right). At x=1x=1, ff goes from increasing to decreasing: LOCAL MAXIMUM, with f(1)=1−6+9+2=6f(1)=1-6+9+2=6. At x=3x=3, the reverse: LOCAL MINIMUM, with f(3)=27−54+27+2=2f(3)=27-54+27+2=2.

c)

f′′(x)=6x−12f''(x)=6x-12, which vanishes at x=2x=2 and changes sign: this is an inflection point, with value f(2)=8−24+18+2=4f(2)=8-24+18+2=4. Notice that it lies exactly halfway between the two extrema, a general property of cubics.

d)

f′′(x)<0f''(x)<0 for x<2x<2: the function is CONCAVE DOWN on (−∞, 2)\left(-\infty,\ 2\right). f′′(x)>0f''(x)>0 for x>2x>2: it is CONCAVE UP on (2, +∞)\left(2,\ +\infty\right). The change of concavity can be seen on the graph near x=2x=2.

e)

On a closed interval, the values at the critical points AND at the endpoints must be compared. f(0)=2f(0)=2, f(1)=6f(1)=6, f(3)=2f(3)=2, f(4)=64−96+36+2=6f(4)=64-96+36+2=6. The ABSOLUTE MAXIMUM is 6, attained at x=1x=1 AND at x=4x=4; the ABSOLUTE MINIMUM is 2, attained at x=0x=0 AND at x=3x=3. Forgetting the endpoints is the most common error in this type of question, and here it would have missed half of the answers.

-112345-2-112345678local max (1, 6)local min (3, 2)inflectionf(4) = 6f(0) = 2

Exercise 5: Constrained optimization

A cooperative has a container made with a square base and no lid, with a volume of 48 cubic metres. The base costs 6 dollars per square metre and each of the four walls 4 dollars per square metre. The figure below shows the situation; it is not to scale.

xxhno lid
  • a) Letting xx be the side of the base and hh the height, write the constraint and the cost function.
  • b) Express the cost in terms of a single variable.
  • c) Find the dimensions that minimize the cost and check that it is a minimum.
  • d) Give the minimum cost and the split between the base and the walls.
  • e) The price of the walls goes up from 4 to 6 dollars. What happens to the optimal dimensions?

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  • a) x2h=48x^{2}h=48 and C=6x2+16xhC=6x^{2}+16xh.
  • b) C(x)=6x2+768xC(x)=6x^{2}+\dfrac{768}{x} for x>0x>0.
  • c) x3=64x^{3}=64, so x=4x=4 m and h=3h=3 m, with C′′>0C''>0: minimum.
  • d) C(4)=288C(4)=288 dollars, of which 96 for the base and 192 for the walls, which is double.
  • e) x=963≈4.579x=\sqrt[3]{96}\approx 4.579 m and h≈2.29h\approx 2.29 m, for about 377.4 dollars: wider and shorter.
a)

Volume constraint: x2h=48x^{2}h=48. Cost: the base is x2x^{2} square metres at 6 dollars, and the four walls are each xhxh square metres at 4 dollars, so C=6x2+16xhC=6x^{2}+16xh.

b)

From the constraint, h=48x2h=\dfrac{48}{x^{2}}, so C(x)=6x2+16x×48x2=6x2+768xC(x)=6x^{2}+16x\times \dfrac{48}{x^{2}}=6x^{2}+\dfrac{768}{x}, for x>0x>0.

c)

C′(x)=12x−768x2C'(x)=12x-\dfrac{768}{x^{2}}. Set it to zero: 12x=768x212x=\dfrac{768}{x^{2}}, so 12x3=76812x^{3}=768 and x3=64x^{3}=64, hence x=4x=4 metres. Check: C′′(x)=12+1,536x3>0C''(x)=12+\dfrac{1{,}536}{x^{3}}>0 for all x>0x>0, the function is concave up and the critical point is indeed a MINIMUM. Height: h=4816=3h=\dfrac{48}{16}=3 metres.

d)

C(4)=6×16+7684=96+192=288C(4)=6\times 16+\dfrac{768}{4}=96+192=288 dollars. The base costs 96 dollars and the walls 192 dollars, exactly DOUBLE. This ratio is no accident: at the optimum of a cost of the form ax2+bxax^{2}+\dfrac{b}{x}, the term in 1x\dfrac{1}{x} is always twice the term in x2x^{2}, as setting the derivative to zero shows.

e)

The cost becomes C=6x2+24xh=6x2+1,152xC=6x^{2}+24xh=6x^{2}+\dfrac{1{,}152}{x}, so C′(x)=12x−1,152x2C'(x)=12x-\dfrac{1{,}152}{x^{2}}, which is zero when x3=96x^{3}=96, that is x=963≈4.579x=\sqrt[3]{96}\approx 4.579 metres and h=4820.96≈2.29h=\dfrac{48}{20.96}\approx 2.29 metres. The container becomes WIDER and SHORTER: when the walls cost more, the optimum reduces their area by flattening the container. The minimum cost rises to about 6×20.96+1,1524.579≈125.8+251.6=377.46\times 20.96+\dfrac{1{,}152}{4.579}\approx 125.8+251.6=377.4 dollars.

123456789100200300400500600700(4, 288), h = 3x, side of the base in metrescost, in dollars

Part B: economic applications (/50)

Exercise 6: Complete marginal analysis

A firm has the cost C(q)=0.25q2+18q+1,250C(q)=0.25q^{2}+18q+1{,}250 dollars and faces the demand p=90−0.25qp=90-0.25q.

20406080100120140160150030004500600075009000revenue R(q)cost C(q)q, unitsdollars
  • a) Write the revenue, the profit, the marginal cost and the marginal revenue.
  • b) Find the quantity that maximizes profit and check with the marginal rule.
  • c) Compute the price, the maximum profit and the average cost at this quantity.
  • d) Find the quantity that minimizes average cost and compare.
  • e) Compute the exact cost of the 73rd unit and compare it with the marginal cost at q=72q=72.

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  • a) R(q)=90q−0.25q2R(q)=90q-0.25q^{2}, P(q)=72q−0.5q2−1250P(q)=72q-0.5q^{2}-1250, C′(q)=0.5q+18C'(q)=0.5q+18, R′(q)=90−0.5qR'(q)=90-0.5q.
  • b) P′(q)=72−qP'(q)=72-q vanishes at q=72q=72, and R′(72)=C′(72)=54R'(72)=C'(72)=54 dollars.
  • c) Price 72 dollars, profit 1,342 dollars, total cost 3,842 dollars, average cost 53.36 dollars.
  • d) q=5000≈70.71q=\sqrt{5000}\approx 70.71, minimum average cost ≈53.36\approx 53.36 dollars: close to 72 without equalling it.
  • e) C(73)−C(72)=54.25C(73)-C(72)=54.25 dollars against 54 given: the gap equals the quadratic coefficient, 0.25.
a)

Revenue: R(q)=(90−0.25q)q=90q−0.25q2R(q)=\left(90-0.25q\right)q=90q-0.25q^{2}. Profit: P(q)=90q−0.25q2−0.25q2−18q−1,250=72q−0.5q2−1,250P(q)=90q-0.25q^{2}-0.25q^{2}-18q-1{,}250=72q-0.5q^{2}-1{,}250. Marginal cost: C′(q)=0.5q+18C'(q)=0.5q+18. Marginal revenue: R′(q)=90−0.5qR'(q)=90-0.5q.

b)

P′(q)=72−qP'(q)=72-q, zero at q=72q=72, with P′′=−1<0P''=-1<0: maximum. Marginal check: R′(72)=90−36=54R'(72)=90-36=54 and C′(72)=36+18=54C'(72)=36+18=54. The two coincide.

c)

Price: p=90−0.25×72=90−18=72p=90-0.25\times 72=90-18=72 dollars. Profit: P(72)=72×72−0.5×5,184−1,250=5,184−2,592−1,250=1,342P(72)=72\times 72-0.5\times 5{,}184-1{,}250=5{,}184-2{,}592-1{,}250=1{,}342 dollars. Total cost: C(72)=0.25×5,184+1,296+1,250=1,296+1,296+1,250=3,842C(72)=0.25\times 5{,}184+1{,}296+1{,}250=1{,}296+1{,}296+1{,}250=3{,}842, so average cost 3,84272≈53.36\dfrac{3{,}842}{72}\approx 53.36 dollars. Unit margin: 72−53.36=18.6472-53.36=18.64 dollars, which gives back 18.64×72≈1,34218.64\times 72\approx 1{,}342 dollars.

d)

C‾(q)=0.25q+18+1,250q\overline{C}(q)=0.25q+18+\dfrac{1{,}250}{q}, with derivative 0.25−1,250q20.25-\dfrac{1{,}250}{q^{2}}, zero when q2=5,000q^{2}=5{,}000, that is q≈70.71q\approx 70.71 units. The average cost there is 0.25×70.71+18+1,25070.71≈17.68+18+17.68=53.360.25\times 70.71+18+\dfrac{1{,}250}{70.71}\approx 17.68+18+17.68=53.36 dollars. The quantity of minimum average cost, 70.7, is very close to that of maximum profit, 72, but it differs from it: the two optima do not coincide in general.

e)

C(73)=0.25×5,329+18×73+1,250=1,332.25+1,314+1,250=3,896.25C(73)=0.25\times 5{,}329+18\times 73+1{,}250=1{,}332.25+1{,}314+1{,}250=3{,}896.25. C(72)=3,842C(72)=3{,}842. Exact cost of the 73rd unit: 3,896.25−3,842=54.253{,}896.25-3{,}842=54.25 dollars, against the 54 dollars given by the marginal cost. The gap, 25 cents, is exactly the coefficient of the quadratic term of the cost, 0.25, as in any quadratic cost model.

20406080100120140160150030004500600075009000revenue R(q)cost C(q)P(72) = 1,342q, unitsdollars

Exercise 7: Elasticity and a pricing decision

Same firm, same demand p=90−0.25qp=90-0.25q, which can be written q=360−4pq=360-4p.

10203040506070809010050100150200250300350400optimal price 72q = 360 − 4pp, in dollarsq, units
  • a) Compute the elasticity of demand at the optimal price of 72 dollars.
  • b) Check that it is consistent with the general result on the elastic range.
  • c) At what price is the elasticity equal to −1-1? What would the revenue be?
  • d) Compare the price that maximizes revenue with the one that maximizes profit.
  • e) The firm lowers its price to 60 dollars. Compute the quantity, the profit and the change.

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  • a) E=−4×7272=−4E=-4\times\dfrac{72}{72}=-4.
  • b) ∣E∣=4>1|E|=4>1: elastic range, as the optimum requires. And 72(1−0.25)=5472\left(1-0.25\right)=54.
  • c) E=−1E=-1 at p=45p=45 dollars, with q=180q=180 and R=8100R=8100 dollars, the maximum revenue.
  • d) 45 dollars for revenue against 72 dollars for profit: aiming for sales volume means selling too much, at too low a price.
  • e) q=120q=120, P=190P=190 dollars: 48 more units, 1,152 dollars less profit, but revenue up from 5,184 to 7,200 dollars.
a)

dqdp=−4\dfrac{dq}{dp}=-4 and, at p=72p=72, q=360−288=72q=360-288=72. So E=−4×7272=−4E=-4\times \dfrac{72}{72}=-4.

b)

The absolute value is 4, well above 1: demand is ELASTIC at the optimal price, in line with the general result that a profit-maximizing firm always sits in the elastic range. This can be checked with the formula R′(q)=p(1+1E)=72(1−0.25)=54R'(q)=p\left(1+\dfrac{1}{E}\right)=72\left(1-0.25\right)=54, which gives back the marginal revenue computed earlier.

c)

The elasticity is −1-1 when −4p360−4p=−1-4\dfrac{p}{360-4p}=-1, so 4p=360−4p4p=360-4p, that is p=45p=45 dollars. The quantity is then 360−180=180360-180=180 units and the revenue 45×180=8,10045\times 180=8{,}100 dollars, which is indeed the maximum revenue, as R′(q)=90−0.5q=0R'(q)=90-0.5q=0 at q=180q=180 confirms.

d)

Revenue is maximal at 45 dollars, profit at 72 dollars: the gap is 27 dollars, or 60% more. The profit-maximizing price is ALWAYS higher than the revenue-maximizing one as soon as marginal cost is positive, since the condition R′=C′>0R'=C'>0 is reached before R′R' vanishes. A firm that aims for sales volume therefore sells too much, at too low a price.

e)

At 60 dollars: q=360−240=120q=360-240=120 units. Profit: P(120)=72×120−0.5×14,400−1,250=8,640−7,200−1,250=190P(120)=72\times 120-0.5\times 14{,}400-1{,}250=8{,}640-7{,}200-1{,}250=190 dollars, against 1,342 dollars at the optimum. The firm sells 48 more units and loses 1,152 dollars of profit. Revenue, for its part, rises, from 72×72=5,18472\times 72=5{,}184 to 60×120=7,20060\times 120=7{,}200 dollars: this is exactly the situation of a manager who celebrates a rise in sales while ruining profitability.

10203040506070809010050100150200250300350400p = 72: E = −4p = 60: q = 120p = 45: E = −1inelasticelasticp, in dollarsq, units

Exercise 8: Related rates

The firm's output grows by 4 units per month. Cost C(q)=0.25q2+18q+1,250C(q)=0.25q^{2}+18q+1{,}250, profit P(q)=72q−0.5q2−1,250P(q)=72q-0.5q^{2}-1{,}250.

  • a) How fast is the cost increasing when q=60q=60?
  • b) How fast is the profit changing when q=60q=60? When q=90q=90?
  • c) When does the profit stop increasing?
  • d) The population of a city follows P(t)=500 e0.04tP(t)=500\,e^{0.04t} and the demand for housing is L=0.4PL=0.4P. How fast is the demand for housing growing at t=10t=10?
  • e) A firm sees its average cost change. Compute dC‾dt\dfrac{d\overline{C}}{dt} at q=60q=60.

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  • a) 48×4=19248\times 4=192 dollars per month.
  • b) +48+48 dollars per month at q=60q=60, −72-72 dollars per month at q=90q=90.
  • c) At q=72q=72, that is three months after q=60q=60 at a pace of 4 units per month.
  • d) dLdt=0.4×29.84≈11.93\dfrac{dL}{dt}=0.4\times 29.84\approx 11.93 homes per year.
  • e) C‾′(60)≈−0.0972\overline{C}'(60)\approx -0.0972, so ≈−0.389\approx -0.389 dollar per month: the average cost is still falling.
a)

dCdt=C′(q)dqdt=(0.5×60+18)×4=(30+18)×4=48×4=192\dfrac{dC}{dt}=C'(q)\dfrac{dq}{dt}=\left(0.5\times 60+18\right)\times 4=\left(30+18\right)\times 4=48\times 4=192 dollars per month.

b)

P′(q)=72−qP'(q)=72-q. At q=60q=60: dPdt=(72−60)×4=12×4=48\dfrac{dP}{dt}=\left(72-60\right)\times 4=12\times 4=48 dollars per month, the profit is rising. At q=90q=90: dPdt=(72−90)×4=−18×4=−72\dfrac{dP}{dt}=\left(72-90\right)\times 4=-18\times 4=-72 dollars per month, the profit is falling. The sign of the rate follows that of P′P', so the position of qq relative to 72.

c)

The profit stops increasing when P′(q)=0P'(q)=0, that is q=72q=72. Starting from q=60q=60 and gaining 4 units per month, it takes 72−604=3\dfrac{72-60}{4}=3 months to get there. Beyond that, each additional month loses money, and the right decision is to stop increasing production.

d)

L=0.4PL=0.4P, so dLdt=0.4dPdt=0.4×20 e0.04t\dfrac{dL}{dt}=0.4\dfrac{dP}{dt}=0.4\times 20\,e^{0.04t}. At t=10t=10: 0.4×29.84≈11.930.4\times 29.84\approx 11.93 homes per year. The constant factor 0.4 simply carries over to the derivative: this is the simplest case of the chain rule, that of a composition with a linear function.

e)

C‾(q)=0.25q+18+1,250q\overline{C}(q)=0.25q+18+\dfrac{1{,}250}{q}, so C‾′(q)=0.25−1,250q2\overline{C}'(q)=0.25-\dfrac{1{,}250}{q^{2}}. At q=60q=60: 0.25−1,2503,600=0.25−0.3472‾≈−0.09720.25-\dfrac{1{,}250}{3{,}600}=0.25-0.347\overline{2}\approx -0.0972. Then dC‾dt=−0.0972×4≈−0.389\dfrac{d\overline{C}}{dt}=-0.0972\times 4\approx -0.389 dollar per month: the average cost is still FALLING, which is consistent since 60 is below the quantity of minimum average cost, 70.7. It will rise beyond that point.

Exercise 9: Five statements to correct

Each of the following five statements is FALSE. Say why and give the correct statement.

  • 1) “f′(1)=0f'(1)=0, so ff has an extremum at x=1x=1.”
  • 2) “On [0, 4]\left[0,\ 4\right], it is enough to compare the critical points to find the absolute maximum.”
  • 3) “The derivative of (x2−3x)5\left(x^{2}-3x\right)^{5} is 5(x2−3x)45\left(x^{2}-3x\right)^{4}.”
  • 4) “The price that maximizes revenue also maximizes profit.”
  • 5) “Production is rising, so profit is rising.”

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  • 1) False: f′f' must CHANGE SIGN. Counterexample: x3x^{3} at 0.
  • 2) False: on a closed interval, the endpoints must also be tested. Here f(4)=6f(4)=6 equals the local maximum.
  • 3) False: the factor 2x−32x-3, the derivative of the inside function, is missing.
  • 4) False: 45 dollars for revenue, 72 dollars for profit. Maximizing revenue means selling too much, at too low a price.
  • 5) False: at q=90q=90, profit falls by 72 dollars per month.
1)

FALSE. A derivative equal to zero is NECESSARY but not sufficient: f′f' must CHANGE SIGN. The function f(x)=x3f(x)=x^{3} has f′(0)=0f'(0)=0 without an extremum, the derivative staying positive on both sides; the point is a plateau, or an inflection point with a horizontal tangent. Correct statement: x=1x=1 is a critical point; the sign of f′f' on both sides, or the second derivative, must be examined to conclude.

2)

FALSE. On a CLOSED interval, the absolute maximum can occur at an ENDPOINT, where the derivative does not vanish. On the cubic of exercise 4, f(4)=6f(4)=6 equals the local maximum f(1)=6f(1)=6, and f(0)=2f(0)=2 equals the local minimum f(3)=2f(3)=2: forgetting the endpoints would have missed half of the answers. Correct statement: the values at the critical points AND at both endpoints must be compared.

3)

FALSE, the derivative of the inside function is missing. By the chain rule, the derivative is 5(x2−3x)4(2x−3)5\left(x^{2}-3x\right)^{4}\left(2x-3\right). Correct statement: differentiate the outside function keeping the inside intact, then MULTIPLY by the derivative of the inside.

4)

FALSE. Revenue is maximal when R′(q)=0R'(q)=0, profit when R′(q)=C′(q)R'(q)=C'(q). Since marginal cost is positive, the second condition is reached BEFORE the first: the profit-maximizing price is higher and the quantity lower. In the example of the course, 72 dollars against 45 dollars. Correct statement: maximizing revenue always leads to selling too much, at too low a price, as soon as production costs anything.

5)

FALSE. By the chain rule, dPdt=P′(q)dqdt\dfrac{dP}{dt}=P'(q)\dfrac{dq}{dt}, and P′(q)=72−qP'(q)=72-q changes sign at q=72q=72. At q=90q=90, the rate is −72-72 dollars per month: profit FALLS while production rises. Correct statement: profit rises as long as production stays below the optimal quantity and falls beyond it.

Exercise 10: Problem: the management committee's report

The committee writes: “Our average cost is 53 dollars and we sell at 72 dollars: each additional unit therefore earns us 19 dollars. By producing 120 units instead of 72, we would gain 48 times 19, or 912 dollars more. We recommend increasing production.”

  • a) What is the first error, about cost?
  • b) What is the second error, about price?
  • c) Compute the actual profit at 120 units and the gap with the announcement.
  • d) Compute the elasticity at the two quantities and interpret.
  • e) Write the correct recommendation.

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  • a) The committee confuses average cost and marginal cost. The marginal cost goes from 54 to 78 dollars between 72 and 120 units.
  • b) To sell 120 units the price must come down to 60 dollars, on ALL the units.
  • c) P(120)=190P(120)=190 dollars against 1,342: a loss of 1,152 dollars, or a gap of 2,064 dollars with the announcement.
  • d) E=−4E=-4 at q=72q=72 and E=−2E=-2 at q=120q=120: by lowering the price, the firm moves toward maximum revenue and away from maximum profit.
  • e) Keep 72 units, where R′=C′=54R'=C'=54 dollars. At 120 units, the cost would reach 7,010 dollars for 7,200 dollars of revenue.
a)

The committee uses the AVERAGE cost where the MARGINAL cost is needed. The average cost of 53 dollars includes a share of the fixed cost of 1,250 dollars, which has already been paid; it says nothing about the next unit. The marginal cost is C′(72)=54C'(72)=54 dollars and it RISES: at 120 units it reaches 0.5×120+18=780.5\times 120+18=78 dollars, which is 45% more.

b)

The committee assumes that the 120 units will sell for 72 dollars. But demand is decreasing: to sell 120 units, the price must come down to 90−0.25×120=90−30=6090-0.25\times 120=90-30=60 dollars, and this drop applies to ALL the units. The revenue per unit therefore falls by 12 dollars across the entire output.

c)

Actual profit at 120 units: P(120)=72×120−0.5×14,400−1,250=8,640−7,200−1,250=190P(120)=72\times 120-0.5\times 14{,}400-1{,}250=8{,}640-7{,}200-1{,}250=190 dollars, against 1,342 dollars at 72 units. The firm would therefore LOSE 1,152 dollars, instead of gaining the 912 dollars announced: the gap between the announcement and reality reaches 2,064 dollars. Revenue does rise, from 5,184 to 7,200 dollars, which explains the committee's illusion.

d)

At q=72q=72, p=72p=72 and E=−4×7272=−4E=-4\times \dfrac{72}{72}=-4. At q=120q=120, p=60p=60 and E=−4×60120=−2E=-4\times \dfrac{60}{120}=-2. Both are elastic, but the absolute value DECREASES as the price falls: we are getting closer to the point where revenue stops growing, reached at p=45p=45. In other words, by lowering its price, the firm moves toward maximum revenue and away from maximum profit.

e)

“At 72 units, marginal revenue and marginal cost are both 54 dollars: production is already optimal and profit reaches 1,342 dollars. Moving to 120 units would require lowering the price to 60 dollars, which would bring revenue to 7,200 dollars but cost to 7,010 dollars, for a profit of only 190 dollars, which is 1,152 dollars less than today. The committee's reasoning confuses average cost with marginal cost, and assumes a constant price that demand does not allow. We recommend keeping production at 72 units.” Three corrections: marginal replaces average, the price follows demand, and the recommendation rests on the rule R′=C′R'=C'.

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