Differential Calculus 201-SN2-RE • CEGEP, Montreal

Corrected practice final exam in differential calculus (201-SN2-RE)

This is a practice final exam for 201-SN2-RE (formerly 201-NYA), Differential Calculus, calibrated to the real level of end-of-term finals at CEGEP. The chapter-by-chapter series train you on one technique at a time. Here it is the other way around: the twelve exercises run through the whole course, and nothing tells you whether you need a limit, the chain rule, implicit differentiation or a sign analysis. Choosing the tool is precisely what the final exam assesses.

The exam has four parts of 25 marks. Part A is on limits (exercise 1), continuity and differentiability of a piecewise-defined function (exercise 2), and the trio of existence, uniqueness and value of a solution through the Intermediate Value Theorem and Newton's method (exercise 3). Part B is on computing derivatives: the chain rule and logarithmic differentiation (exercise 4), implicit differentiation on a tilted ellipse (exercise 5) and the derivative of an inverse function (exercise 6). Part C is on the complete analysis of a function with an oblique asymptote (exercise 7), linear approximation and the differential applied to the uncertainty on the period of a pendulum (exercise 8), and reading the graph of f′f' (exercise 9). Part D brings together the applied problems: the optimization of a folded gutter (exercise 10), the related rates of a trough that is filling up (exercise 11), and a logistic model of an app spreading across a campus (exercise 12).

The traps are the ones that cost marks on the final: the form 1∞1^{\infty} taken for 1 (exercise 1), a change of concavity at a number outside the domain taken for an inflection point (exercise 7), questions about ff answered from the curve of f′f' (exercise 9), and a depth that the trough can never reach (exercise 11).

Write it under real conditions: 3 hours, timed, calculator allowed, no formula sheet. Write out every justification, because a correct result without the reasoning is worth few marks on the final exam. The solutions explain not only the computation but also why a given method is the one to use.

12 corrected exercises • 100 points • 180 minutes

This chapter is part of 201-SN2-RE, every chapter with its set and sheet

Self-checking set Type 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.

Course recap

  • • Limits: indeterminate forms 00\frac{0}{0}, ∞∞\frac{\infty}{\infty}, ∞−∞\infty-\infty, 1∞1^{\infty}. Tools: factoring, the conjugate, factoring out the dominant term, lim⁡u→0sin⁡uu=1\lim_{u\to 0}\frac{\sin u}{u}=1, lim⁡x→∞(1+kx)x=ek\lim_{x\to\infty}\left(1+\frac{k}{x}\right)^{x}=e^{k}, and L'Hôpital's rule.
  • • Continuity and differentiability: ff is continuous at aa if lim⁡x→af(x)=f(a)\lim_{x\to a}f(x)=f(a); differentiable at aa if lim⁡h→0f(a+h)−f(a)h\lim_{h\to 0}\frac{f(a+h)-f(a)}{h} exists. Differentiable ⇒\Rightarrow continuous, never the converse.
  • • Rules: (uv)′=u′v+uv′(uv)'=u'v+uv', (uv)′=u′v−uv′v2\left(\frac{u}{v}\right)'=\frac{u'v-uv'}{v^{2}}, chain rule (f∘g)′=f′(g)⋅g′(f\circ g)'=f'(g)\cdot g'. Inverse: (f−1)′(b)=1f′(a)(f^{-1})'(b)=\dfrac{1}{f'(a)} with a=f−1(b)a=f^{-1}(b).
  • • Analysis: f′>0f'>0 increasing, f′′>0f''>0 concave up; oblique asymptote y=mx+py=mx+p if m=lim⁡f(x)xm=\lim\frac{f(x)}{x} and p=lim⁡ (f(x)−mx)p=\lim\,(f(x)-mx) are finite.
  • • Approximation: f(x)≈f(a)+f′(a)(x−a)f(x)\approx f(a)+f'(a)(x-a); differential dy=f′(x) dxdy=f'(x)\,dx; relative error dyy\dfrac{dy}{y}.
  • • Applications: related rates (differentiate the relation with respect to tt), optimization (a single variable, a realistic domain, a justification of the maximum), Newton's method xn+1=xn−g(xn)g′(xn)x_{n+1}=x_{n}-\dfrac{g(x_{n})}{g'(x_{n})}.

Part A: Limits, continuity and foundations (/25)

Exercise 1: Five limits, five different techniques

Each of these limits calls for a different technique. First identify the indeterminate form, then choose the tool, and justify how you take the limit. L'Hôpital's rule is allowed, but it applies only to the forms 00\frac{0}{0} and ∞∞\frac{\infty}{\infty}.

  • a) lim⁡x→3x+1−2x−3\lim_{x\to 3}\frac{\sqrt{x+1}-2}{x-3}
  • b) lim⁡x→+∞(x2+6x−x)\lim_{x\to+\infty}\left(\sqrt{x^{2}+6x}-x\right)
  • c) lim⁡x→0sin⁡(5x)tan⁡(3x)\lim_{x\to 0}\frac{\sin(5x)}{\tan(3x)}
  • d) lim⁡x→2−x2−4∣x−2∣\lim_{x\to 2^{-}}\frac{x^{2}-4}{|x-2|}, then say whether the limit at x=2x=2 exists from both sides. Justify.
  • e) lim⁡x→+∞(1+3x)2x\lim_{x\to+\infty}\left(1+\frac{3}{x}\right)^{2x}

Type your answers, the page tells you right or wrong 0/6

a)
b)
c)
d)
e)
Show the solution

Answers

  • a) 14\frac{1}{4}
  • b) 33
  • c) 53\frac{5}{3}
  • d) −4-4 from the left, 44 from the right: no limit
  • e) e6≈403.43e^{6}\approx 403.43
a)

Form 00\frac{0}{0}. Multiply by the conjugate: x+1−2x−3⋅x+1+2x+1+2=(x+1)−4(x−3)(x+1+2)=1x+1+2\dfrac{\sqrt{x+1}-2}{x-3}\cdot\dfrac{\sqrt{x+1}+2}{\sqrt{x+1}+2}=\dfrac{(x+1)-4}{(x-3)(\sqrt{x+1}+2)}=\dfrac{1}{\sqrt{x+1}+2}. At x=3x=3: 12+2=14\dfrac{1}{2+2}=\dfrac{1}{4}.

b)

Form ∞−∞\infty-\infty. The conjugate again: (x2+6x)−x2x2+6x+x=6xx2+6x+x\dfrac{(x^{2}+6x)-x^{2}}{\sqrt{x^{2}+6x}+x}=\dfrac{6x}{\sqrt{x^{2}+6x}+x}. Divide the numerator and the denominator by x>0x>0: 61+6/x+1⟶61+1=3\dfrac{6}{\sqrt{1+6/x}+1}\longrightarrow\dfrac{6}{1+1}=3.

c)

Form 00\frac{0}{0}. Write sin⁡5xtan⁡3x=sin⁡5x5x⋅3xtan⁡3x⋅53\dfrac{\sin 5x}{\tan 3x}=\dfrac{\sin 5x}{5x}\cdot\dfrac{3x}{\tan 3x}\cdot\dfrac{5}{3}. The first two factors tend to 1, hence the limit 53\dfrac{5}{3}.

d)

To the left of 2, x−2<0x-2<0 so ∣x−2∣=2−x|x-2|=2-x. Then (x−2)(x+2)2−x=−(x+2)⟶−4\dfrac{(x-2)(x+2)}{2-x}=-(x+2)\longrightarrow-4. To the right, ∣x−2∣=x−2|x-2|=x-2 and the expression equals x+2⟶4x+2\longrightarrow 4. The two one-sided limits differ: the limit at 2 does not exist.

e)

Form 1∞1^{\infty}. Let y=(1+3x)2xy=\left(1+\frac{3}{x}\right)^{2x}, so ln⁡y=2xln⁡(1+3x)\ln y=2x\ln\left(1+\frac{3}{x}\right). With u=3/x→0u=3/x\to 0: ln⁡y=6uln⁡(1+u)→6\ln y=\dfrac{6}{u}\ln(1+u)\to 6 since ln⁡(1+u)u→1\frac{\ln(1+u)}{u}\to 1. Therefore y→e6≈403.43y\to e^{6}\approx 403.43.

Tick the exercises you have done or want to review: a free account, no password, keeps your ticks and your right answers from one visit to the next, tells you which chapter to tackle next and lets you ask for the exercise you are missing. Create your space, an email is enough.

Exercise 2: Joining two pieces: continuous, differentiable, and then?

Let ff be the piecewise-defined function f(x)=ax2+bxf(x)=ax^{2}+bx if x≤1x\leq 1, and f(x)=ln⁡x+3f(x)=\ln x+3 if x>1x>1, where aa and bb are two real constants.

  • a) Write the condition for continuity at x=1x=1 as an equation in aa and bb.
  • b) Write the condition for differentiability at x=1x=1 as a second equation, then solve the system and give aa and bb.
  • c) With these values, compute f′′f'' to the left and to the right of 1. Is ff twice differentiable at 1? What can still be said about f′f' at this point?
  • d) Justify that ff reaches an absolute maximum and an absolute minimum on [0,2][0,2], then give them.

Type your answers, the page tells you right or wrong 0/8

a)
b)
c)
d)
Show the solution

Answers

  • a) a+b=3a+b=3
  • b) a=−2a=-2, b=5b=5
  • c) −4-4 and −1-1: C1C^{1} but not twice differentiable
  • d) Minimum 00, maximum 3+ln⁡2≈3.6933+\ln 2\approx 3.693
a)

From the right: lim⁡x→1+f(x)=ln⁡1+3=3\lim_{x\to 1^{+}}f(x)=\ln 1+3=3. From the left and at 1: f(1)=a+bf(1)=a+b. Continuity therefore requires a+b=3a+b=3.

b)

The one-sided derivatives: on the left, f′(x)=2ax+bf'(x)=2ax+b gives 2a+b2a+b; on the right, f′(x)=1xf'(x)=\frac{1}{x} gives 1. Differentiability requires 2a+b=12a+b=1. Subtracting the first equation: a=1−3=−2a=1-3=-2, then b=3−a=5b=3-a=5. So a=−2a=-2, b=5b=5, and f′(1)=1f'(1)=1. (Note that differentiability only makes sense here once continuity is secured: without it, comparing the one-sided derivatives proves nothing.)

c)

On the left, f′(x)=−4x+5f'(x)=-4x+5 so f′′(x)=−4f''(x)=-4: the left-hand limit of f′′f'' is −4-4. On the right, f′(x)=1xf'(x)=\frac{1}{x} so f′′(x)=−1x2f''(x)=-\frac{1}{x^{2}}, which equals −1-1 at 1. The two values differ: f′f' is not differentiable at 1, so ff is not twice differentiable at this point. On the other hand, f′f' is defined and continuous there (it equals 1 on both sides): ff is of class C1C^{1} but not C2C^{2}. The graph has a single tangent line at (1,3)(1,3), but its curvature jumps there.

d)

ff is continuous on [0,2][0,2] (a polynomial, then a logarithm, joined in question a) and [0,2][0,2] is a closed, bounded interval: by the Extreme Value Theorem, ff reaches its maximum and its minimum there. On [0,1][0,1], f(x)=−2x2+5xf(x)=-2x^{2}+5x has its vertex at x=54>1x=\frac{5}{4}>1, so ff is increasing there, from f(0)=0f(0)=0 to f(1)=3f(1)=3. On (1,2](1,2], ln⁡x+3\ln x+3 is increasing, from 3 to f(2)=3+ln⁡2≈3.693f(2)=3+\ln 2\approx 3.693. So ff is increasing on the whole of [0,2][0,2]: minimum f(0)=0f(0)=0, maximum f(2)=3+ln⁡2≈3.69f(2)=3+\ln 2\approx 3.69.

-1-0.50.511.522.53-3-2-112345−2x² + 5xln x + 3(1, 3)common tangent,slope 1

Exercise 3: Existence, uniqueness, then the value: the full trio

We study the equation x ex=2x\,e^{x}=2, which no elementary algebraic manipulation can solve. Let g(x)=x ex−2g(x)=x\,e^{x}-2. The exam expects three distinct things: prove that a solution exists, prove that there is only one, then compute it numerically.

  • a) Show, naming the theorem used and checking its hypotheses, that the equation has at least one solution in [0,1][0,1].
  • b) Show that this solution is unique in R\mathbb{R}. Careful: g′g' is not positive everywhere, so your argument must also deal with x<0x<0.
  • c) Apply Newton's method starting from x0=1x_{0}=1 and give x1x_{1} and x2x_{2} to 5 decimal places.
  • d) Without computing the exact solution, estimate the error ∣x2−r∣|x_{2}-r| with the linear approximation ∣x2−r∣≈∣g(x2)∣g′(x2)|x_{2}-r|\approx\dfrac{|g(x_{2})|}{g'(x_{2})}, and conclude on the number of reliable decimal places.

Type your answers, the page tells you right or wrong 0/7

a)
b)
c)
d)
Show the solution

Answers

  • a) g(0)=−2<0<g(1)≈0.718g(0)=-2<0<g(1)\approx 0.718
  • b) No root for x≤0x\le 0; gg increasing for x>0x>0
  • c) x1≈0.86788x_{1}\approx 0.86788, x2≈0.85278x_{2}\approx 0.85278
  • d) Error ≈1.78×10−4\approx 1.78\times 10^{-4}: r≈0.853r\approx 0.853
a)

gg is continuous on [0,1][0,1] (product and sum of continuous functions). g(0)=0⋅e0−2=−2<0g(0)=0\cdot e^{0}-2=-2<0 and g(1)=e−2≈0.718>0g(1)=e-2\approx 0.718>0. By the Intermediate Value Theorem, there exists r∈(0,1)r\in(0,1) such that g(r)=0g(r)=0.

b)

g′(x)=ex+x ex=ex(1+x)g'(x)=e^{x}+x\,e^{x}=e^{x}(1+x), which is negative for x<−1x<-1: gg is therefore not monotonic on R\mathbb{R}, and an argument based on monotonicity alone does not work. Split the line in two: for x≤0x\leq 0, x ex≤0<2x\,e^{x}\leq 0<2, so g(x)<0g(x)<0 and there is no root. For x>0x>0, g′(x)=ex(1+x)>0g'(x)=e^{x}(1+x)>0: gg is strictly increasing there, so it takes the value 0 at most once. Combined with a), the solution exists and is unique.

c)

Newton: xn+1=xn−xnexn−2exn(1+xn)x_{n+1}=x_{n}-\dfrac{x_{n}e^{x_{n}}-2}{e^{x_{n}}(1+x_{n})}. From x0=1x_{0}=1: g(1)=0.71828g(1)=0.71828, g′(1)=2e=5.43656g'(1)=2e=5.43656, hence x1=1−0.718285.43656=0.86788x_{1}=1-\dfrac{0.71828}{5.43656}=0.86788. Then g(x1)=0.06716g(x_{1})=0.06716, g′(x1)=4.44902g'(x_{1})=4.44902, hence x2=0.86788−0.067164.44902=0.85278x_{2}=0.86788-\dfrac{0.06716}{4.44902}=0.85278.

d)

g(x2)=7.73×10−4g(x_{2})=7.73\times 10^{-4} and g′(x2)=e0.85278(1.85278)=4.3470g'(x_{2})=e^{0.85278}(1.85278)=4.3470. The estimate gives ∣x2−r∣≈7.73×10−44.3470≈1.78×10−4|x_{2}-r|\approx\dfrac{7.73\times 10^{-4}}{4.3470}\approx 1.78\times 10^{-4}. Three decimal places are therefore reliable: r≈0.853r\approx 0.853. (The exact value, r=0.852606…r=0.852606\ldots, confirms an error of 1.78×10−41.78\times 10^{-4}: the linear estimate is remarkably accurate here, because gg varies little over such a short interval.)

Part B: Computing derivatives (/25)

Exercise 4: Four derivatives, four tools

Differentiate each function, stating the rule or rules used. Simplify and factor the result as far as possible: an unfactored answer costs marks on the exam, because it makes the sign analysis impossible.

  • a) f(x)=(3x2−1)5(2x+7)3f(x)=(3x^{2}-1)^{5}(2x+7)^{3}
  • b) g(x)=arctan⁡(x)g(x)=\arctan\left(\sqrt{x}\right), for x>0x>0
  • c) h(x)=xsin⁡xh(x)=x^{\sin x}, for x>0x>0 (hint: the base and the exponent both depend on xx)
  • d) y=e2xcos⁡(3x)y=e^{2x}\cos(3x): compute y′y' and y′′y'', then show that y′′−4y′+13y=0y''-4y'+13y=0.

Type your answers, the page tells you right or wrong 0/5

a)
b)
c)
d)
Show the solution

Answers

  • a) 6(3x2−1)4(2x+7)2(13x2+35x−1)6(3x^{2}-1)^{4}(2x+7)^{2}(13x^{2}+35x-1)
  • b) 12x(1+x)\frac{1}{2\sqrt{x}(1+x)}
  • c) xsin⁡x(cos⁡xln⁡x+sin⁡xx)x^{\sin x}\left(\cos x\ln x+\frac{\sin x}{x}\right)
  • d) y′′=e2x(−5cos⁡3x−12sin⁡3x)y''=e^{2x}(-5\cos 3x-12\sin 3x); the sum is zero
a)

Product and chain rules: f′(x)=5(3x2−1)4(6x)(2x+7)3+(3x2−1)5⋅3(2x+7)2(2)f'(x)=5(3x^{2}-1)^{4}(6x)(2x+7)^{3}+(3x^{2}-1)^{5}\cdot 3(2x+7)^{2}(2). Factor out (3x2−1)4(2x+7)2(3x^{2}-1)^{4}(2x+7)^{2}: f′(x)=(3x2−1)4(2x+7)2[30x(2x+7)+6(3x2−1)]=(3x2−1)4(2x+7)2(78x2+210x−6)f'(x)=(3x^{2}-1)^{4}(2x+7)^{2}\left[30x(2x+7)+6(3x^{2}-1)\right]=(3x^{2}-1)^{4}(2x+7)^{2}(78x^{2}+210x-6), that is f′(x)=6(3x2−1)4(2x+7)2(13x2+35x−1)f'(x)=6(3x^{2}-1)^{4}(2x+7)^{2}(13x^{2}+35x-1).

b)

Chain rule with arctan⁡′(u)=11+u2\arctan'(u)=\frac{1}{1+u^{2}} and u=xu=\sqrt{x}, u′=12xu'=\frac{1}{2\sqrt{x}}: g′(x)=11+(x)2⋅12x=12x (1+x)g'(x)=\dfrac{1}{1+(\sqrt{x})^{2}}\cdot\dfrac{1}{2\sqrt{x}}=\dfrac{1}{2\sqrt{x}\,(1+x)}.

c)

Logarithmic differentiation. ln⁡h=sin⁡x⋅ln⁡x\ln h=\sin x\cdot\ln x, so h′h=cos⁡xln⁡x+sin⁡xx\dfrac{h'}{h}=\cos x\ln x+\dfrac{\sin x}{x}, hence h′(x)=xsin⁡x(cos⁡x ln⁡x+sin⁡xx)h'(x)=x^{\sin x}\left(\cos x\,\ln x+\dfrac{\sin x}{x}\right). The power rule does not apply here: the exponent is not constant.

d)

y′=2e2xcos⁡3x−3e2xsin⁡3x=e2x(2cos⁡3x−3sin⁡3x)y'=2e^{2x}\cos 3x-3e^{2x}\sin 3x=e^{2x}(2\cos 3x-3\sin 3x). Then y′′=2e2x(2cos⁡3x−3sin⁡3x)+e2x(−6sin⁡3x−9cos⁡3x)=e2x(−5cos⁡3x−12sin⁡3x)y''=2e^{2x}(2\cos 3x-3\sin 3x)+e^{2x}(-6\sin 3x-9\cos 3x)=e^{2x}(-5\cos 3x-12\sin 3x). Finally y′′−4y′+13y=e2x[(−5−8+13)cos⁡3x+(−12+12)sin⁡3x]=0y''-4y'+13y=e^{2x}\left[(-5-8+13)\cos 3x+(-12+12)\sin 3x\right]=0.

Exercise 5: A curve that is the graph of no function

Consider the curve with equation x2−xy+y2=7x^{2}-xy+y^{2}=7. It is a tilted ellipse: a vertical line can cut it at two points, so it is the graph of no function y=f(x)y=f(x). Implicit differentiation still gives the slope of its tangent line at every point.

  • a) Differentiate implicitly and express dydx\dfrac{dy}{dx} in terms of xx and yy.
  • b) Check that the point (1,3)(1,3) is on the curve, then give the equation of the tangent line at this point.
  • c) Find the points where the tangent line is horizontal. Give their exact coordinates.
  • d) Show that the swap (x,y)↦(y,x)(x,y)\mapsto(y,x) leaves the equation unchanged, then deduce the points with a vertical tangent line without doing any further computation.

Type your answers, the page tells you right or wrong 0/7

a)
b)
c)
d)
Show the solution

Answers

  • a) dydx=y−2x2y−x\frac{dy}{dx}=\frac{y-2x}{2y-x}
  • b) y=x5+145y=\frac{x}{5}+\frac{14}{5}
  • c) ±(73, 273)\pm\left(\sqrt{\tfrac{7}{3}},\,2\sqrt{\tfrac{7}{3}}\right)
  • d) ±(273, 73)\pm\left(2\sqrt{\tfrac{7}{3}},\,\sqrt{\tfrac{7}{3}}\right)
a)

Differentiate each term with respect to xx, treating yy as a function of xx: 2x−(y+xdydx)+2ydydx=02x-\left(y+x\dfrac{dy}{dx}\right)+2y\dfrac{dy}{dx}=0. Collect the terms: dydx(2y−x)=y−2x\dfrac{dy}{dx}(2y-x)=y-2x, so dydx=y−2x2y−x\dfrac{dy}{dx}=\dfrac{y-2x}{2y-x}.

b)

12−(1)(3)+32=1−3+9=71^{2}-(1)(3)+3^{2}=1-3+9=7: the point is indeed on the curve. The slope is 3−26−1=15\dfrac{3-2}{6-1}=\dfrac{1}{5}, hence the tangent line y−3=15(x−1)y-3=\dfrac{1}{5}(x-1), that is y=x5+145y=\dfrac{x}{5}+\dfrac{14}{5}.

c)

Horizontal tangent: dydx=0\dfrac{dy}{dx}=0, so y=2xy=2x (with 2y−x≠02y-x\ne 0, which holds since 2y−x=3x≠02y-x=3x\ne 0). Substitute into the equation: x2−2x2+4x2=7x^{2}-2x^{2}+4x^{2}=7, that is 3x2=73x^{2}=7 and x=±7/3x=\pm\sqrt{7/3}. The points are (73, 273)≈(1.53, 3.06)\left(\sqrt{\tfrac{7}{3}},\,2\sqrt{\tfrac{7}{3}}\right)\approx(1.53,\,3.06) and its reflection through the origin, (−73, −273)\left(-\sqrt{\tfrac{7}{3}},\,-2\sqrt{\tfrac{7}{3}}\right).

d)

Swapping xx and yy, the equation becomes y2−yx+x2=7y^{2}-yx+x^{2}=7, identical to the original: the curve is symmetric about the line y=xy=x. This symmetry swaps the axes, so it turns every horizontal tangent line into a vertical one. The points we want are the mirror images of those in c), that is (273, 73)≈(3.06, 1.53)\left(2\sqrt{\tfrac{7}{3}},\,\sqrt{\tfrac{7}{3}}\right)\approx(3.06,\,1.53) and its reflection through the origin. The formula confirms it: the denominator 2y−x2y-x is zero when x=2yx=2y.

Exercise 6: The inverse function and its two derivatives

Let f(x)=x3+3x−2f(x)=x^{3}+3x-2. There is no simple formula for f−1f^{-1}, and yet its derivatives can be computed. That is the whole point of the theorem on the derivative of an inverse function.

  • a) Show that ff is a bijection from R\mathbb{R} to R\mathbb{R}. State what guarantees that it is onto.
  • b) Compute f−1(2)f^{-1}(2), then (f−1)′(2)\left(f^{-1}\right)'(2).
  • c) Prove the formula (f−1)′(b)=1f′(f−1(b))\left(f^{-1}\right)'(b)=\dfrac{1}{f'\left(f^{-1}(b)\right)} from the identity f(f−1(x))=xf\left(f^{-1}(x)\right)=x and the chain rule.
  • d) By differentiating this identity a second time, derive a formula for (f−1)′′(b)\left(f^{-1}\right)''(b), then apply it to obtain (f−1)′′(2)\left(f^{-1}\right)''(2).

Type your answers, the page tells you right or wrong 0/5

a)
b)
c)
d)
Show the solution

Answers

  • a) f′≥3f'\ge 3 and infinite limits: a bijection
  • b) f−1(2)=1f^{-1}(2)=1; (f−1)′(2)=16\left(f^{-1}\right)'(2)=\frac{1}{6}
  • c) f′(f−1(x))⋅(f−1)′(x)=1f'\left(f^{-1}(x)\right)\cdot\left(f^{-1}\right)'(x)=1
  • d) (f−1)′′=−f′′(f′)3\left(f^{-1}\right)''=-\frac{f''}{(f')^{3}}: −136-\frac{1}{36}
a)

f′(x)=3x2+3≥3>0f'(x)=3x^{2}+3\geq 3>0 for all xx: ff is strictly increasing on R\mathbb{R}, hence one-to-one. It is continuous (a polynomial), and lim⁡x→−∞f(x)=−∞\lim_{x\to-\infty}f(x)=-\infty, lim⁡x→+∞f(x)=+∞\lim_{x\to+\infty}f(x)=+\infty: by the Intermediate Value Theorem, every real number is reached, so ff is onto. It is indeed a bijection from R\mathbb{R} to R\mathbb{R}.

b)

We look for aa such that f(a)=2f(a)=2: a3+3a−2=2a^{3}+3a-2=2, that is a3+3a−4=0a^{3}+3a-4=0. The obvious root a=1a=1 works (1+3−4=01+3-4=0), and it is the only one, since the function is strictly increasing. So f−1(2)=1f^{-1}(2)=1. Next, f′(1)=3+3=6f'(1)=3+3=6, hence (f−1)′(2)=16\left(f^{-1}\right)'(2)=\dfrac{1}{6}.

c)

Let u(x)=f−1(x)u(x)=f^{-1}(x). The identity f(u(x))=xf(u(x))=x holds on all of R\mathbb{R}. Differentiate both sides with the chain rule: f′(u(x))⋅u′(x)=1f'(u(x))\cdot u'(x)=1. Since f′f' is never zero, isolate: u′(x)=1f′(u(x))u'(x)=\dfrac{1}{f'(u(x))}, that is (f−1)′(b)=1f′(f−1(b))\left(f^{-1}\right)'(b)=\dfrac{1}{f'\left(f^{-1}(b)\right)}.

d)

Differentiate f′(u) u′=1f'(u)\,u'=1 once more, with the product rule and the chain rule: f′′(u) (u′)2+f′(u) u′′=0f''(u)\,(u')^{2}+f'(u)\,u''=0, hence u′′=−f′′(u) (u′)2f′(u)=−f′′(u)[f′(u)]3u''=-\dfrac{f''(u)\,(u')^{2}}{f'(u)}=-\dfrac{f''(u)}{\left[f'(u)\right]^{3}} after replacing u′u' by 1/f′(u)1/f'(u). Here f′′(x)=6xf''(x)=6x, so with u(2)=1u(2)=1: (f−1)′′(2)=−f′′(1)[f′(1)]3=−663=−136\left(f^{-1}\right)''(2)=-\dfrac{f''(1)}{\left[f'(1)\right]^{3}}=-\dfrac{6}{6^{3}}=-\dfrac{1}{36}. The negative sign says that f−1f^{-1} is concave down near 2, which is consistent: ff is concave up near 1.

Part C: Function analysis and approximation (/25)

Exercise 7: Complete analysis of a function with an oblique asymptote

Carry out the complete analysis of f(x)=x2+3x−1f(x)=\dfrac{x^{2}+3}{x-1}. A division will make your life much easier: start with it.

  • a) Give the domain, then write ff in the form mx+p+kx−1mx+p+\dfrac{k}{x-1}. Deduce the vertical asymptote (with both one-sided limits) and the oblique asymptote.
  • b) Compute f′f', study its sign and draw up the variation table. Give the relative extrema.
  • c) Compute f′′f'', study the concavity and say whether the curve has an inflection point. Justify.
  • d) The relative maximum is −2-2 and the relative minimum is 66. Explain how a maximum can be smaller than a minimum, then sketch the curve with its two asymptotes.

Type your answers, the page tells you right or wrong 0/8

a)
b)
c)
d)
Show the solution

Answers

  • a) f(x)=x+1+4x−1f(x)=x+1+\frac{4}{x-1}; x=1x=1 and y=x+1y=x+1
  • b) Maximum −2-2 at −1-1, minimum 66 at 33
  • c) f′′=8(x−1)3f''=\frac{8}{(x-1)^{3}}: no inflection point
  • d) Two branches separated by x=1x=1
a)

Domain: R∖{1}\mathbb{R}\setminus\{1\}. Division: x2+3=(x+1)(x−1)+4x^{2}+3=(x+1)(x-1)+4, so f(x)=x+1+4x−1f(x)=x+1+\dfrac{4}{x-1}. Vertical asymptote x=1x=1: as x→1+x\to 1^{+}, 4x−1→+∞\frac{4}{x-1}\to+\infty so f→+∞f\to+\infty; as x→1−x\to 1^{-}, f→−∞f\to-\infty. Oblique asymptote: f(x)−(x+1)=4x−1→0f(x)-(x+1)=\dfrac{4}{x-1}\to 0 as x→±∞x\to\pm\infty, so y=x+1y=x+1 is an oblique asymptote at both ends. The curve lies above the asymptote for x>1x>1 and below it for x<1x<1.

b)

f′(x)=1−4(x−1)2=(x−1)2−4(x−1)2=(x−3)(x+1)(x−1)2f'(x)=1-\dfrac{4}{(x-1)^{2}}=\dfrac{(x-1)^{2}-4}{(x-1)^{2}}=\dfrac{(x-3)(x+1)}{(x-1)^{2}}. The denominator is always positive, so the sign is that of (x−3)(x+1)(x-3)(x+1): f′>0f'>0 on (−∞,−1)(-\infty,-1), f′<0f'<0 on (−1,1)(-1,1) and (1,3)(1,3), f′>0f'>0 on (3,+∞)(3,+\infty). So ff increases, reaches a relative maximum at x=−1x=-1 with f(−1)=4−2=−2f(-1)=\dfrac{4}{-2}=-2, decreases down to the asymptote, comes back down from +∞+\infty after 1, reaches a relative minimum at x=3x=3 with f(3)=122=6f(3)=\dfrac{12}{2}=6, then increases.

c)

From f′(x)=1−4(x−1)−2f'(x)=1-4(x-1)^{-2}: f′′(x)=8(x−1)−3=8(x−1)3f''(x)=8(x-1)^{-3}=\dfrac{8}{(x-1)^{3}}. It is never zero. For x<1x<1, f′′<0f''<0: the curve is concave down. For x>1x>1, f′′>0f''>0: concave up. The concavity does change at x=1x=1, but x=1x=1 is not in the domain: there is therefore no inflection point. This is the classic trap: a change of concavity is not enough, there must be a point on the curve.

d)

There is no contradiction: the maximum and the minimum here are only relative, and they belong to two branches separated by the vertical asymptote. On the left branch, ff never goes above −2-2; on the right one, it never goes below 6. No theorem forces a local maximum on one branch to exceed a local minimum on another, precisely because the function is not continuous on (−∞,3](-\infty,3]. The sketch: two hyperbola-like branches on either side of x=1x=1, each hugging y=x+1y=x+1 at infinity, with the peak (−1,−2)(-1,-2) on the left and the trough (3,6)(3,6) on the right.

-6-4-22468-12-8-4481216y = x + 1max (−1, −2)min (3, 6)

Exercise 8: Linearize: a cube root and a pendulum

The linear approximation f(x)≈f(a)+f′(a)(x−a)f(x)\approx f(a)+f'(a)(x-a) has two uses: estimating a value without a calculator, and propagating a measurement uncertainty. Both uses appear here.

  • a) Estimate 1243\sqrt[3]{124} by linearization about a=125a=125. Then give the difference from the calculator value.
  • b) The period of a simple pendulum is T=2πLgT=2\pi\sqrt{\dfrac{L}{g}}. Show, using the differential, that dTT=12dLL\dfrac{dT}{T}=\dfrac{1}{2}\dfrac{dL}{L}.
  • c) The length is measured as L=1.000L=1.000 m with an uncertainty of ±5\pm 5 mm, and we take g=9.8g=9.8 m/s². Give TT, the absolute uncertainty dTdT and the relative uncertainty as a percentage.
  • d) What precision must be required on LL for the relative uncertainty on TT to drop below 0.1%0.1\%?

Type your answers, the page tells you right or wrong 0/7

a)
b)
c)
d)
Show the solution

Answers

  • a) ≈4.986667\approx 4.986667, difference 3.6×10−53.6\times 10^{-5}
  • b) dTT=12dLL\frac{dT}{T}=\frac{1}{2}\frac{dL}{L}
  • c) T≈2.0071T\approx 2.0071 s; dT≈0.0050dT\approx 0.0050 s; 0.250.25%
  • d) dL<2dL<2 mm
a)

f(x)=x1/3f(x)=x^{1/3}, f′(x)=13x−2/3f'(x)=\frac{1}{3}x^{-2/3}. At a=125a=125: f(125)=5f(125)=5 and f′(125)=13⋅25=175f'(125)=\dfrac{1}{3\cdot 25}=\dfrac{1}{75}. So 1243≈5+124−12575=5−175≈4.986667\sqrt[3]{124}\approx 5+\dfrac{124-125}{75}=5-\dfrac{1}{75}\approx 4.986667. The calculator gives 4.9866314.986631: the difference is 3.6×10−53.6\times 10^{-5}, about seven millionths in relative terms. The linearization is excellent because 124124 is very close to 125125 and f′′f'' is tiny there.

b)

Take the logarithm before differentiating: ln⁡T=ln⁡(2π)+12ln⁡L−12ln⁡g\ln T=\ln(2\pi)+\frac{1}{2}\ln L-\frac{1}{2}\ln g. Differentiating, dTT=12dLL\dfrac{dT}{T}=\dfrac{1}{2}\dfrac{dL}{L} (the term in gg disappears, gg being constant). In other words, a relative error on the length is only half passed on to the period: the square root damps the error.

c)

T=2π1.0009.8=2.0071T=2\pi\sqrt{\dfrac{1.000}{9.8}}=2.0071 s. Relative error: dTT=12⋅0.0051.000=0.0025=0.25%\dfrac{dT}{T}=\dfrac{1}{2}\cdot\dfrac{0.005}{1.000}=0.0025=0.25\%. Absolute error: dT=0.0025×2.0071=0.0050dT=0.0025\times 2.0071=0.0050 s. (The exact computation gives T(1.005)−T(1.000)=0.00501T(1.005)-T(1.000)=0.00501 s: the differential is accurate to three digits.)

d)

We want dTT<0.001\dfrac{dT}{T}<0.001, so 12dLL<0.001\dfrac{1}{2}\dfrac{dL}{L}<0.001, that is dLL<0.002\dfrac{dL}{L}<0.002 and dL<0.002×1.000=0.002dL<0.002\times 1.000=0.002 m. The length must be measured to within ±2\pm 2 mm, two and a half times more precisely than with the original 5 mm.

Exercise 9: Working back from the graph of the derivative to the function

The graph below is that of f′f', the derivative of a function ff differentiable on R\mathbb{R}, whose formula is not given. All we know is that f(0)=1f(0)=1. Careful: every question is about ff, not about the curve drawn.

-2.5-2-1.5-1-0.50.511.522.5-3-2-1123
  • a) Read the zeros of f′f' on the graph, then give the intervals on which ff is increasing and decreasing, and classify each relative extremum.
  • b) Locate the extrema of f′f' and deduce the intervals of concavity of ff, as well as the xx-coordinates of its inflection points.
  • c) The graph suggests that f′f' is odd. Assuming that f′(−x)=−f′(x)f'(-x)=-f'(x) for all xx, prove that ff is even. Hint: differentiate x↦f(x)−f(−x)x\mapsto f(x)-f(-x).
  • d) Compare the two relative minima of ff. Which one is lower? Justify without computing ff.

Type your answers, the page tells you right or wrong 0/5

a)
b)
c)
d)
Show the solution

Answers

  • a) Minima at ±3\pm\sqrt{3}, maximum at 00
  • b) Inflection points at x=±1x=\pm 1
  • c) φ′=0\varphi'=0, φ(0)=0\varphi(0)=0: ff even
  • d) The two minima are equal
a)

f′f' is zero at x=−3≈−1.73x=-\sqrt{3}\approx-1.73, x=0x=0 and x=3≈1.73x=\sqrt{3}\approx 1.73. Sign read from the curve: f′<0f'<0 on (−∞,−3)(-\infty,-\sqrt{3}), f′>0f'>0 on (−3,0)(-\sqrt{3},0), f′<0f'<0 on (0,3)(0,\sqrt{3}), f′>0f'>0 on (3,+∞)(\sqrt{3},+\infty). So ff decreases, increases, decreases, increases: relative minimum at −3-\sqrt{3}, relative maximum at 00 (value f(0)=1f(0)=1), relative minimum at 3\sqrt{3}.

b)

f′f' reaches a maximum at (−1,2)(-1,2) and a minimum at (1,−2)(1,-2). Now f′′f'' is the derivative of f′f': f′′>0f''>0 where f′f' increases, that is on (−∞,−1)(-\infty,-1) and (1,+∞)(1,+\infty) (concave up), and f′′<0f''<0 on (−1,1)(-1,1) (concave down). The inflection points of ff are therefore at x=−1x=-1 and x=1x=1, where f′f' changes from increasing to decreasing or back.

c)

Let φ(x)=f(x)−f(−x)\varphi(x)=f(x)-f(-x). By the chain rule, φ′(x)=f′(x)+f′(−x)=f′(x)−f′(x)=0\varphi'(x)=f'(x)+f'(-x)=f'(x)-f'(x)=0 for all xx. A function whose derivative is zero on R\mathbb{R} is constant (a consequence of the Mean Value Theorem). Now φ(0)=f(0)−f(0)=0\varphi(0)=f(0)-f(0)=0, so the constant is zero: f(x)=f(−x)f(x)=f(-x) for all xx, and ff is even.

d)

Since ff is even, f(−3)=f(3)f(-\sqrt{3})=f(\sqrt{3}): the two relative minima are exactly equal, neither is lower than the other. They are in fact the absolute minima of ff, because ff decreases towards them from ±∞\pm\infty and then rises again.

Part D: Applied problems (/25)

Exercise 10: The folded gutter: the best angle

A metal sheet 30 cm wide and 4 m long is folded into three equal strips of 10 cm to form a gutter: the middle strip stays horizontal and the two side strips are raised by the same angle θ\theta to the horizontal. We look for the angle that maximizes the flow, that is, the area of the cross-section.

θ10 cm10 cm10 cm
  • a) Show that the area of the cross-section is A(θ)=100sin⁡θ (1+cos⁡θ)A(\theta)=100\sin\theta\,(1+\cos\theta) for θ∈(0,π2]\theta\in\left(0,\frac{\pi}{2}\right]. Split the cross-section into a rectangle and two triangles.
  • b) Compute A′(θ)A'(\theta) and show that it factors as A′(θ)=100(2cos⁡θ−1)(cos⁡θ+1)A'(\theta)=100(2\cos\theta-1)(\cos\theta+1).
  • c) Find the critical number in the interval and justify, using the sign of A′A', that it does give a maximum.
  • d) Give the maximum area in exact form, then approximately. Compare it with that of the rectangular gutter (θ=π2\theta=\frac{\pi}{2}) and give the gain as a percentage.

Type your answers, the page tells you right or wrong 0/5

a)
b)
c)
d)
Show the solution

Answers

  • a) A(θ)=100sin⁡θ(1+cos⁡θ)A(\theta)=100\sin\theta(1+\cos\theta)
  • b) A′(θ)=100(2cos⁡θ−1)(cos⁡θ+1)A'(\theta)=100(2\cos\theta-1)(\cos\theta+1)
  • c) θ=60°\theta=60°: maximum
  • d) 753≈129.975\sqrt{3}\approx 129.9 cm², gain ≈29.9\approx 29.9%
a)

Each side strip, of length 10, rises by a height 10sin⁡θ10\sin\theta and spreads out horizontally by 10cos⁡θ10\cos\theta. The cross-section is a trapezoid: short base 10 (the bottom), long base 10+2(10cos⁡θ)10+2(10\cos\theta), height 10sin⁡θ10\sin\theta. Split up, it is a rectangle 10×10sin⁡θ10\times 10\sin\theta plus two right triangles with base 10cos⁡θ10\cos\theta and height 10sin⁡θ10\sin\theta: A=10(10sin⁡θ)+2⋅12(10cos⁡θ)(10sin⁡θ)=100sin⁡θ+100sin⁡θcos⁡θ=100sin⁡θ(1+cos⁡θ)A=10(10\sin\theta)+2\cdot\tfrac{1}{2}(10\cos\theta)(10\sin\theta)=100\sin\theta+100\sin\theta\cos\theta=100\sin\theta(1+\cos\theta). The 4 m length plays no part: it multiplies the volume, not the cross-section.

b)

A′(θ)=100[cos⁡θ(1+cos⁡θ)+sin⁡θ(−sin⁡θ)]=100[cos⁡θ+cos⁡2θ−sin⁡2θ]A'(\theta)=100\left[\cos\theta(1+\cos\theta)+\sin\theta(-\sin\theta)\right]=100\left[\cos\theta+\cos^{2}\theta-\sin^{2}\theta\right]. With sin⁡2θ=1−cos⁡2θ\sin^{2}\theta=1-\cos^{2}\theta: A′(θ)=100(2cos⁡2θ+cos⁡θ−1)=100(2cos⁡θ−1)(cos⁡θ+1)A'(\theta)=100\left(2\cos^{2}\theta+\cos\theta-1\right)=100(2\cos\theta-1)(\cos\theta+1).

c)

On (0,π2]\left(0,\frac{\pi}{2}\right], the factor cos⁡θ+1\cos\theta+1 is strictly positive, so the sign of A′A' is that of 2cos⁡θ−12\cos\theta-1. It is zero for cos⁡θ=12\cos\theta=\frac{1}{2}, that is θ=π3=60∘\theta=\frac{\pi}{3}=60^{\circ}. For θ<60∘\theta<60^{\circ}, cos⁡θ>12\cos\theta>\frac{1}{2} and A′>0A'>0; for θ>60∘\theta>60^{\circ}, A′<0A'<0. The derivative changes from ++ to −-: θ=60∘\theta=60^{\circ} does give a maximum, and it is the absolute maximum on the interval.

d)

A(π3)=100⋅32⋅(1+12)=753≈129.9A\left(\frac{\pi}{3}\right)=100\cdot\frac{\sqrt{3}}{2}\cdot\left(1+\frac{1}{2}\right)=75\sqrt{3}\approx 129.9 cm². The rectangular gutter (θ=90∘\theta=90^{\circ}) gives A=100⋅1⋅(1+0)=100A=100\cdot 1\cdot(1+0)=100 cm². The gain is 129.9−100100≈29.9%\dfrac{129.9-100}{100}\approx 29.9\%: tilting the walls at 60° increases the flow by almost 30% without using one more centimetre of metal.

Exercise 11: The trough that fills more and more slowly

A trough 3 m long has a cross-section in the shape of an isosceles triangle, point down: it is 1 m wide at the top and 0.5 m deep. Water is poured in at a constant rate of 0.02 m³/min. Let hh be the depth of the water and ww the width of the water surface.

  • a) Show that w=2hw=2h, then that the volume of water is V=3h2V=3h^{2}.
  • b) Compute the rate at which the water level rises, dhdt\dfrac{dh}{dt}, at the instant when h=0.30h=0.30 m.
  • c) At that same instant, how fast is the water surface widening?
  • d) At what depth does the level rise half as fast as in b)? Interpret your answer in context, then give the total filling time.

Type your answers, the page tells you right or wrong 0/5

a)
b)
c)
d)
Show the solution

Answers

  • a) w=2hw=2h, V=3h2V=3h^{2}
  • b) 190≈0.0111\frac{1}{90}\approx 0.0111 m/min
  • c) ≈0.0222\approx 0.0222 m/min
  • d) Never: it would take h=0.60h=0.60 m; filled in 37.537.5 min
a)

The cross-section of the water is a triangle similar to that of the full trough: the width grows in proportion to the depth, with the ratio 10.5=2\dfrac{1}{0.5}=2, so w=2hw=2h. The area of the water's cross-section is 12wh=12(2h)h=h2\dfrac{1}{2}wh=\dfrac{1}{2}(2h)h=h^{2}, and multiplying by the length of 3 m: V=3h2V=3h^{2}.

b)

Differentiate with respect to time: dVdt=6hdhdt\dfrac{dV}{dt}=6h\dfrac{dh}{dt}. With dVdt=0.02\dfrac{dV}{dt}=0.02 and h=0.30h=0.30: 0.02=6(0.30)dhdt=1.8dhdt0.02=6(0.30)\dfrac{dh}{dt}=1.8\dfrac{dh}{dt}, so dhdt=0.021.8=190≈0.0111\dfrac{dh}{dt}=\dfrac{0.02}{1.8}=\dfrac{1}{90}\approx 0.0111 m/min, about 1.1 cm per minute.

c)

Since w=2hw=2h, differentiate: dwdt=2dhdt=290≈0.0222\dfrac{dw}{dt}=2\dfrac{dh}{dt}=\dfrac{2}{90}\approx 0.0222 m/min, about 2.2 cm per minute.

d)

In general dhdt=0.026h\dfrac{dh}{dt}=\dfrac{0.02}{6h}: the level rises more slowly the wider the trough is at the surface. It would rise half as fast as in b) when hh doubles, that is at h=0.60h=0.60 m. But the trough is only 0.50 m deep: this situation never happens. The slowest rate reached is the one at the rim, at h=0.50h=0.50: 0.023≈0.0067\dfrac{0.02}{3}\approx 0.0067 m/min, still more than half of 0.0111. Filling time: V(0.50)=3(0.25)=0.75V(0.50)=3(0.25)=0.75 m³, so t=0.750.02=37.5t=\dfrac{0.75}{0.02}=37.5 min.

510152025303540102030405060h = 30 cm at t = 13.5 mintrough full at 37.5 mint (min)h (cm)

Exercise 12: Synthesis problem: an app spreading across a campus

A campus has 500 students. The number of them who use a new app, tt weeks after its launch, is modelled by N(t)=5001+9e−0.4tN(t)=\frac{500}{1+9e^{-0.4t}} for t≥0t\geq 0. This problem calls on limits, the quotient rule, the chain rule and the study of concavity all at once.

  • a) Compute N(0)N(0) and lim⁡t→+∞N(t)\lim_{t\to+\infty}N(t). Interpret each of the two values in context.
  • b) Compute N′(t)N'(t) and show that it is strictly positive for all t≥0t\geq 0. What does this sign tell you?
  • c) Check that NN satisfies the relation N′=0.4 N(1−N500)N'=0.4\,N\left(1-\dfrac{N}{500}\right), and explain what this form reveals about how the app spreads.
  • d) When is the app spreading fastest? Give this instant, the number of users at that moment and the corresponding rate of spread. Justify using concavity.
  • e) After how many weeks is 90% of the campus using the app?

Type your answers, the page tells you right or wrong 0/8

a)
b)
c)
d)
e)
Show the solution

Answers

  • a) N(0)=50N(0)=50; limit 500500
  • b) N′=1800e−0.4t(1+9e−0.4t)2>0N'=\frac{1800e^{-0.4t}}{(1+9e^{-0.4t})^{2}}>0
  • c) N′=0.4N(1−N500)N'=0.4N\left(1-\frac{N}{500}\right)
  • d) t≈5.49t\approx 5.49 weeks, N=250N=250, 5050 per week
  • e) t≈10.99t\approx 10.99 weeks
a)

N(0)=5001+9=50N(0)=\dfrac{500}{1+9}=50: the app starts with 50 users. As t→+∞t\to+\infty, e−0.4t→0e^{-0.4t}\to 0 so N(t)→5001=500N(t)\to\dfrac{500}{1}=500: in the long run, the whole campus adopts it, without ever exceeding 500 (the line N=500N=500 is a horizontal asymptote, and it is the size of the population).

b)

With u(t)=1+9e−0.4tu(t)=1+9e^{-0.4t}, we have u′(t)=−3.6e−0.4tu'(t)=-3.6e^{-0.4t} and N=500u−1N=500u^{-1}, so N′=−500u−2u′=1800e−0.4t(1+9e−0.4t)2N'=-500u^{-2}u'=\dfrac{1800e^{-0.4t}}{\left(1+9e^{-0.4t}\right)^{2}}. The numerator and the denominator are strictly positive for all tt, so N′>0N'>0: the number of users grows and never goes back down.

c)

Let u=9e−0.4tu=9e^{-0.4t}. Then N=5001+uN=\dfrac{500}{1+u} and 1−N500=1−11+u=u1+u1-\dfrac{N}{500}=1-\dfrac{1}{1+u}=\dfrac{u}{1+u}. The right-hand side is therefore 0.4⋅5001+u⋅u1+u=200u(1+u)20.4\cdot\dfrac{500}{1+u}\cdot\dfrac{u}{1+u}=\dfrac{200u}{(1+u)^{2}}. The left-hand side is N′=1800e−0.4t(1+u)2=200u(1+u)2N'=\dfrac{1800e^{-0.4t}}{(1+u)^{2}}=\dfrac{200u}{(1+u)^{2}} since 1800e−0.4t=200u1800e^{-0.4t}=200u. The two agree. Interpretation: the rate of spread is proportional to the product of the number of users (those who can talk about the app) and the proportion of non-users (those still to be won over). It is therefore slow at the start for lack of carriers, and slow at the end for lack of targets.

d)

The app spreads fastest when N′N' reaches its maximum, that is where N′′=0N''=0 and changes sign: at the inflection point. Differentiating the relation from c): N′′=0.4N′(1−2N500)N''=0.4N'\left(1-\dfrac{2N}{500}\right), which is zero for N=250N=250, half the population. Solve 5001+9e−0.4t=250\dfrac{500}{1+9e^{-0.4t}}=250, that is 9e−0.4t=19e^{-0.4t}=1, so t=ln⁡90.4≈5.49t=\dfrac{\ln 9}{0.4}\approx 5.49 weeks. The rate there is N′=0.4(250)(1−250500)=0.4(250)(0.5)=50N'=0.4(250)\left(1-\frac{250}{500}\right)=0.4(250)(0.5)=50 users per week. Before this point N′′>0N''>0 (growth speeds up), after it N′′<0N''<0 (growth slows down): it is indeed a maximum of N′N'.

e)

90% of 500 is 450. Solve 5001+9e−0.4t=450\dfrac{500}{1+9e^{-0.4t}}=450, hence 1+9e−0.4t=1091+9e^{-0.4t}=\dfrac{10}{9}, then 9e−0.4t=199e^{-0.4t}=\dfrac{1}{9} and e−0.4t=181e^{-0.4t}=\dfrac{1}{81}. So t=ln⁡810.4≈10.99t=\dfrac{\ln 81}{0.4}\approx 10.99 weeks, about 11 weeks. Note the symmetry: 1010% of the campus at t=0t=0 and 9090% at t≈10.99t\approx 10.99, on either side of the instant 5.495.49 when the app spreads fastest, exactly halfway. This is the S-shaped curve that the interpretation in c) predicted.

Something missing from this set? A type of exercise your teacher gives, a problem you are stuck on, a mistake you spotted: tell me, I read every request.

Sending goes through your free space: that is how I can answer you and tell you when the exercise is added. An email is enough, no password. Create your space. Rather not create an account? Write to me directly.

What is it about?
I read every request myself, nobody else sees it. No need to write your name or your school.
When your request is dealt with, you hear about it by email and in your space.

By sending, you agree that I read your request to answer it. It is kept with your account, erased with it, and never published: privacy policy.

© Ahmed Squalli Houssaini. Exercise set published at www.letuteurscientifique.ca/en/exercices/cegep-calc1-practice-final. Free for personal and classroom use; republishing it elsewhere requires written permission (legal notice).

See also

Looking for a differential calculus tutor in Montreal?

Get in touch for a first session. We go over the whole of 201-SN2-RE on practice exams at the real end-of-term level, with detailed feedback on how you write your solutions, not just on the final answer.

Site by Studio Squalli