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′ (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∞ taken for 1 (exercise 1), a change of concavity at a number outside the domain taken for an inflection point (exercise 7), questions about f answered from the curve of 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.
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•Limits: indeterminate forms 00, ∞∞, ∞−∞, 1∞. Tools: factoring, the conjugate, factoring out the dominant term, limu→0usinu=1, limx→∞(1+xk)x=ek, and L'Hôpital's rule.
•Continuity and differentiability: f is continuous at a if limx→af(x)=f(a); differentiable at a if limh→0hf(a+h)−f(a) exists. Differentiable ⇒ continuous, never the converse.
•Rules: (uv)′=u′v+uv′, (vu)′=v2u′v−uv′, chain rule (f∘g)′=f′(g)⋅g′. Inverse: (f−1)′(b)=f′(a)1 with a=f−1(b).
•Analysis: f′>0 increasing, f′′>0 concave up; oblique asymptote y=mx+p if m=limxf(x) and p=lim(f(x)−mx) are finite.
•Applications: related rates (differentiate the relation with respect to t), optimization (a single variable, a realistic domain, a justification of the maximum), Newton's method xn+1=xn−g′(xn)g(xn).
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 and ∞∞.
a) limx→3x−3x+1−2
b) limx→+∞(x2+6x−x)
c) limx→0tan(3x)sin(5x)
d) limx→2−∣x−2∣x2−4, then say whether the limit at x=2 exists from both sides. Justify.
e) limx→+∞(1+x3)2x
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Answers
a)41
b)3
c)35
d)−4 from the left, 4 from the right: no limit
e)e6≈403.43
a)
Form 00. Multiply by the conjugate: x−3x+1−2⋅x+1+2x+1+2=(x−3)(x+1+2)(x+1)−4=x+1+21. At x=3: 2+21=41.
b)
Form ∞−∞. The conjugate again: x2+6x+x(x2+6x)−x2=x2+6x+x6x. Divide the numerator and the denominator by x>0: 1+6/x+16⟶1+16=3.
c)
Form 00. Write tan3xsin5x=5xsin5x⋅tan3x3x⋅35. The first two factors tend to 1, hence the limit 35.
d)
To the left of 2, x−2<0 so ∣x−2∣=2−x. Then 2−x(x−2)(x+2)=−(x+2)⟶−4. To the right, ∣x−2∣=x−2 and the expression equals x+2⟶4. The two one-sided limits differ: the limit at 2 does not exist.
e)
Form 1∞. Let y=(1+x3)2x, so lny=2xln(1+x3). With u=3/x→0: lny=u6ln(1+u)→6 since uln(1+u)→1. Therefore y→e6≈403.43.
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Exercise 2: Joining two pieces: continuous, differentiable, and then?
Let f be the piecewise-defined function f(x)=ax2+bx if x≤1, and f(x)=lnx+3 if x>1, where a and b are two real constants.
a) Write the condition for continuity at x=1 as an equation in a and b.
b) Write the condition for differentiability at x=1 as a second equation, then solve the system and give a and b.
c) With these values, compute f′′ to the left and to the right of 1. Is f twice differentiable at 1? What can still be said about f′ at this point?
d) Justify that f reaches an absolute maximum and an absolute minimum on [0,2], then give them.
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Answers
a)a+b=3
b)a=−2, b=5
c)−4 and −1: C1 but not twice differentiable
d)Minimum 0, maximum 3+ln2≈3.693
a)
From the right: limx→1+f(x)=ln1+3=3. From the left and at 1: f(1)=a+b. Continuity therefore requires a+b=3.
b)
The one-sided derivatives: on the left, f′(x)=2ax+b gives 2a+b; on the right, f′(x)=x1 gives 1. Differentiability requires 2a+b=1. Subtracting the first equation: a=1−3=−2, then b=3−a=5. So a=−2, b=5, and f′(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+5 so f′′(x)=−4: the left-hand limit of f′′ is −4. On the right, f′(x)=x1 so f′′(x)=−x21, which equals −1 at 1. The two values differ: f′ is not differentiable at 1, so f is not twice differentiable at this point. On the other hand, f′ is defined and continuous there (it equals 1 on both sides): f is of class C1 but not C2. The graph has a single tangent line at (1,3), but its curvature jumps there.
d)
f is continuous on [0,2] (a polynomial, then a logarithm, joined in question a) and [0,2] is a closed, bounded interval: by the Extreme Value Theorem, f reaches its maximum and its minimum there. On [0,1], f(x)=−2x2+5x has its vertex at x=45>1, so f is increasing there, from f(0)=0 to f(1)=3. On (1,2], lnx+3 is increasing, from 3 to f(2)=3+ln2≈3.693. So f is increasing on the whole of [0,2]: minimum f(0)=0, maximum f(2)=3+ln2≈3.69.
Exercise 3: Existence, uniqueness, then the value: the full trio
We study the equation xex=2, which no elementary algebraic manipulation can solve. Let g(x)=xex−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].
b) Show that this solution is unique in R. Careful: g′ is not positive everywhere, so your argument must also deal with x<0.
c) Apply Newton's method starting from x0=1 and give x1 and x2 to 5 decimal places.
d) Without computing the exact solution, estimate the error ∣x2−r∣ with the linear approximation ∣x2−r∣≈g′(x2)∣g(x2)∣, and conclude on the number of reliable decimal places.
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Answers
a)g(0)=−2<0<g(1)≈0.718
b)No root for x≤0; g increasing for x>0
c)x1≈0.86788, x2≈0.85278
d)Error ≈1.78×10−4: r≈0.853
a)
g is continuous on [0,1] (product and sum of continuous functions). g(0)=0⋅e0−2=−2<0 and g(1)=e−2≈0.718>0. By the Intermediate Value Theorem, there exists r∈(0,1) such that g(r)=0.
b)
g′(x)=ex+xex=ex(1+x), which is negative for x<−1: g is therefore not monotonic on R, and an argument based on monotonicity alone does not work. Split the line in two: for x≤0, xex≤0<2, so g(x)<0 and there is no root. For x>0, g′(x)=ex(1+x)>0: g 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−exn(1+xn)xnexn−2. From x0=1: g(1)=0.71828, g′(1)=2e=5.43656, hence x1=1−5.436560.71828=0.86788. Then g(x1)=0.06716, g′(x1)=4.44902, hence x2=0.86788−4.449020.06716=0.85278.
d)
g(x2)=7.73×10−4 and g′(x2)=e0.85278(1.85278)=4.3470. The estimate gives ∣x2−r∣≈4.34707.73×10−4≈1.78×10−4. Three decimal places are therefore reliable: r≈0.853. (The exact value, r=0.852606…, confirms an error of 1.78×10−4: the linear estimate is remarkably accurate here, because g 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)3
b) g(x)=arctan(x), for x>0
c) h(x)=xsinx, for x>0 (hint: the base and the exponent both depend on x)
d) y=e2xcos(3x): compute y′ and y′′, then show that y′′−4y′+13y=0.
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Answers
a)6(3x2−1)4(2x+7)2(13x2+35x−1)
b)2x(1+x)1
c)xsinx(cosxlnx+xsinx)
d)y′′=e2x(−5cos3x−12sin3x); 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). Factor out (3x2−1)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), that is f′(x)=6(3x2−1)4(2x+7)2(13x2+35x−1).
b)
Chain rule with arctan′(u)=1+u21 and u=x, u′=2x1: g′(x)=1+(x)21⋅2x1=2x(1+x)1.
c)
Logarithmic differentiation. lnh=sinx⋅lnx, so hh′=cosxlnx+xsinx, hence h′(x)=xsinx(cosxlnx+xsinx). The power rule does not apply here: the exponent is not constant.
d)
y′=2e2xcos3x−3e2xsin3x=e2x(2cos3x−3sin3x). Then y′′=2e2x(2cos3x−3sin3x)+e2x(−6sin3x−9cos3x)=e2x(−5cos3x−12sin3x). Finally y′′−4y′+13y=e2x[(−5−8+13)cos3x+(−12+12)sin3x]=0.
Exercise 5: A curve that is the graph of no function
Consider the curve with equation x2−xy+y2=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). Implicit differentiation still gives the slope of its tangent line at every point.
a) Differentiate implicitly and express dxdy in terms of x and y.
b) Check that the point (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) leaves the equation unchanged, then deduce the points with a vertical tangent line without doing any further computation.
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Answers
a)dxdy=2y−xy−2x
b)y=5x+514
c)±(37,237)
d)±(237,37)
a)
Differentiate each term with respect to x, treating y as a function of x: 2x−(y+xdxdy)+2ydxdy=0. Collect the terms: dxdy(2y−x)=y−2x, so dxdy=2y−xy−2x.
b)
12−(1)(3)+32=1−3+9=7: the point is indeed on the curve. The slope is 6−13−2=51, hence the tangent line y−3=51(x−1), that is y=5x+514.
c)
Horizontal tangent: dxdy=0, so y=2x (with 2y−x=0, which holds since 2y−x=3x=0). Substitute into the equation: x2−2x2+4x2=7, that is 3x2=7 and x=±7/3. The points are (37,237)≈(1.53,3.06) and its reflection through the origin, (−37,−237).
d)
Swapping x and y, the equation becomes y2−yx+x2=7, identical to the original: the curve is symmetric about the line y=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 (237,37)≈(3.06,1.53) and its reflection through the origin. The formula confirms it: the denominator 2y−x is zero when x=2y.
Exercise 6: The inverse function and its two derivatives
Let f(x)=x3+3x−2. There is no simple formula for f−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 f is a bijection from R to R. State what guarantees that it is onto.
b) Compute f−1(2), then (f−1)′(2).
c) Prove the formula (f−1)′(b)=f′(f−1(b))1 from the identity f(f−1(x))=x and the chain rule.
d) By differentiating this identity a second time, derive a formula for (f−1)′′(b), then apply it to obtain (f−1)′′(2).
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Answers
a)f′≥3 and infinite limits: a bijection
b)f−1(2)=1; (f−1)′(2)=61
c)f′(f−1(x))⋅(f−1)′(x)=1
d)(f−1)′′=−(f′)3f′′: −361
a)
f′(x)=3x2+3≥3>0 for all x: f is strictly increasing on R, hence one-to-one. It is continuous (a polynomial), and limx→−∞f(x)=−∞, limx→+∞f(x)=+∞: by the Intermediate Value Theorem, every real number is reached, so f is onto. It is indeed a bijection from R to R.
b)
We look for a such that f(a)=2: a3+3a−2=2, that is a3+3a−4=0. The obvious root a=1 works (1+3−4=0), and it is the only one, since the function is strictly increasing. So f−1(2)=1. Next, f′(1)=3+3=6, hence (f−1)′(2)=61.
c)
Let u(x)=f−1(x). The identity f(u(x))=x holds on all of R. Differentiate both sides with the chain rule: f′(u(x))⋅u′(x)=1. Since f′ is never zero, isolate: u′(x)=f′(u(x))1, that is (f−1)′(b)=f′(f−1(b))1.
d)
Differentiate f′(u)u′=1 once more, with the product rule and the chain rule: f′′(u)(u′)2+f′(u)u′′=0, hence u′′=−f′(u)f′′(u)(u′)2=−[f′(u)]3f′′(u) after replacing u′ by 1/f′(u). Here f′′(x)=6x, so with u(2)=1: (f−1)′′(2)=−[f′(1)]3f′′(1)=−636=−361. The negative sign says that f−1 is concave down near 2, which is consistent: f 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)=x−1x2+3. A division will make your life much easier: start with it.
a) Give the domain, then write f in the form mx+p+x−1k. Deduce the vertical asymptote (with both one-sided limits) and the oblique asymptote.
b) Compute f′, study its sign and draw up the variation table. Give the relative extrema.
c) Compute f′′, study the concavity and say whether the curve has an inflection point. Justify.
d) The relative maximum is −2 and the relative minimum is 6. Explain how a maximum can be smaller than a minimum, then sketch the curve with its two asymptotes.
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Answers
a)f(x)=x+1+x−14; x=1 and y=x+1
b)Maximum −2 at −1, minimum 6 at 3
c)f′′=(x−1)38: no inflection point
d)Two branches separated by x=1
a)
Domain: R∖{1}. Division: x2+3=(x+1)(x−1)+4, so f(x)=x+1+x−14. Vertical asymptote x=1: as x→1+, x−14→+∞ so f→+∞; as x→1−, f→−∞. Oblique asymptote: f(x)−(x+1)=x−14→0 as x→±∞, so y=x+1 is an oblique asymptote at both ends. The curve lies above the asymptote for x>1 and below it for x<1.
b)
f′(x)=1−(x−1)24=(x−1)2(x−1)2−4=(x−1)2(x−3)(x+1). The denominator is always positive, so the sign is that of (x−3)(x+1): f′>0 on (−∞,−1), f′<0 on (−1,1) and (1,3), f′>0 on (3,+∞). So f increases, reaches a relative maximum at x=−1 with f(−1)=−24=−2, decreases down to the asymptote, comes back down from +∞ after 1, reaches a relative minimum at x=3 with f(3)=212=6, then increases.
c)
From f′(x)=1−4(x−1)−2: f′′(x)=8(x−1)−3=(x−1)38. It is never zero. For x<1, f′′<0: the curve is concave down. For x>1, f′′>0: concave up. The concavity does change at x=1, but x=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, f never goes above −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]. The sketch: two hyperbola-like branches on either side of x=1, each hugging y=x+1 at infinity, with the peak (−1,−2) on the left and the trough (3,6) on the right.
Exercise 8: Linearize: a cube root and a pendulum
The linear approximation f(x)≈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 3124 by linearization about a=125. Then give the difference from the calculator value.
b) The period of a simple pendulum is T=2πgL. Show, using the differential, that TdT=21LdL.
c) The length is measured as L=1.000 m with an uncertainty of ±5 mm, and we take g=9.8 m/s². Give T, the absolute uncertainty dT and the relative uncertainty as a percentage.
d) What precision must be required on L for the relative uncertainty on T to drop below 0.1%?
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Answers
a)≈4.986667, difference 3.6×10−5
b)TdT=21LdL
c)T≈2.0071 s; dT≈0.0050 s; 0.25%
d)dL<2 mm
a)
f(x)=x1/3, f′(x)=31x−2/3. At a=125: f(125)=5 and f′(125)=3⋅251=751. So 3124≈5+75124−125=5−751≈4.986667. The calculator gives 4.986631: the difference is 3.6×10−5, about seven millionths in relative terms. The linearization is excellent because 124 is very close to 125 and f′′ is tiny there.
b)
Take the logarithm before differentiating: lnT=ln(2π)+21lnL−21lng. Differentiating, TdT=21LdL (the term in g disappears, g 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=2π9.81.000=2.0071 s. Relative error: TdT=21⋅1.0000.005=0.0025=0.25%. Absolute error: dT=0.0025×2.0071=0.0050 s. (The exact computation gives T(1.005)−T(1.000)=0.00501 s: the differential is accurate to three digits.)
d)
We want TdT<0.001, so 21LdL<0.001, that is LdL<0.002 and dL<0.002×1.000=0.002 m. The length must be measured to within ±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′, the derivative of a function f differentiable on R, whose formula is not given. All we know is that f(0)=1. Careful: every question is about f, not about the curve drawn.
a) Read the zeros of f′ on the graph, then give the intervals on which f is increasing and decreasing, and classify each relative extremum.
b) Locate the extrema of f′ and deduce the intervals of concavity of f, as well as the x-coordinates of its inflection points.
c) The graph suggests that f′ is odd. Assuming that f′(−x)=−f′(x) for all x, prove that f is even. Hint: differentiate x↦f(x)−f(−x).
d) Compare the two relative minima of f. Which one is lower? Justify without computing f.
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Answers
a)Minima at ±3, maximum at 0
b)Inflection points at x=±1
c)φ′=0, φ(0)=0: f even
d)The two minima are equal
a)
f′ is zero at x=−3≈−1.73, x=0 and x=3≈1.73. Sign read from the curve: f′<0 on (−∞,−3), f′>0 on (−3,0), f′<0 on (0,3), f′>0 on (3,+∞). So f decreases, increases, decreases, increases: relative minimum at −3, relative maximum at 0 (value f(0)=1), relative minimum at 3.
b)
f′ reaches a maximum at (−1,2) and a minimum at (1,−2). Now f′′ is the derivative of f′: f′′>0 where f′ increases, that is on (−∞,−1) and (1,+∞) (concave up), and f′′<0 on (−1,1) (concave down). The inflection points of f are therefore at x=−1 and x=1, where f′ changes from increasing to decreasing or back.
c)
Let φ(x)=f(x)−f(−x). By the chain rule, φ′(x)=f′(x)+f′(−x)=f′(x)−f′(x)=0 for all x. A function whose derivative is zero on R is constant (a consequence of the Mean Value Theorem). Now φ(0)=f(0)−f(0)=0, so the constant is zero: f(x)=f(−x) for all x, and f is even.
d)
Since f is even, f(−3)=f(3): the two relative minima are exactly equal, neither is lower than the other. They are in fact the absolute minima of f, because f decreases towards them from ±∞ 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 to the horizontal. We look for the angle that maximizes the flow, that is, the area of the cross-section.
a) Show that the area of the cross-section is A(θ)=100sinθ(1+cosθ) for θ∈(0,2π]. Split the cross-section into a rectangle and two triangles.
b) Compute A′(θ) and show that it factors as A′(θ)=100(2cosθ−1)(cosθ+1).
c) Find the critical number in the interval and justify, using the sign of 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=2π) and give the gain as a percentage.
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Answers
a)A(θ)=100sinθ(1+cosθ)
b)A′(θ)=100(2cosθ−1)(cosθ+1)
c)θ=60°: maximum
d)753≈129.9 cm², gain ≈29.9%
a)
Each side strip, of length 10, rises by a height 10sinθ and spreads out horizontally by 10cosθ. The cross-section is a trapezoid: short base 10 (the bottom), long base 10+2(10cosθ), height 10sinθ. Split up, it is a rectangle 10×10sinθ plus two right triangles with base 10cosθ and height 10sinθ: A=10(10sinθ)+2⋅21(10cosθ)(10sinθ)=100sinθ+100sinθcosθ=100sinθ(1+cosθ). The 4 m length plays no part: it multiplies the volume, not the cross-section.
b)
A′(θ)=100[cosθ(1+cosθ)+sinθ(−sinθ)]=100[cosθ+cos2θ−sin2θ]. With sin2θ=1−cos2θ: A′(θ)=100(2cos2θ+cosθ−1)=100(2cosθ−1)(cosθ+1).
c)
On (0,2π], the factor cosθ+1 is strictly positive, so the sign of A′ is that of 2cosθ−1. It is zero for cosθ=21, that is θ=3π=60∘. For θ<60∘, cosθ>21 and A′>0; for θ>60∘, A′<0. The derivative changes from + to −: θ=60∘ does give a maximum, and it is the absolute maximum on the interval.
d)
A(3π)=100⋅23⋅(1+21)=753≈129.9 cm². The rectangular gutter (θ=90∘) gives A=100⋅1⋅(1+0)=100 cm². The gain is 100129.9−100≈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 h be the depth of the water and w the width of the water surface.
a) Show that w=2h, then that the volume of water is V=3h2.
b) Compute the rate at which the water level rises, dtdh, at the instant when h=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.
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Answers
a)w=2h, V=3h2
b)901≈0.0111 m/min
c)≈0.0222 m/min
d)Never: it would take h=0.60 m; filled in 37.5 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 0.51=2, so w=2h. The area of the water's cross-section is 21wh=21(2h)h=h2, and multiplying by the length of 3 m: V=3h2.
b)
Differentiate with respect to time: dtdV=6hdtdh. With dtdV=0.02 and h=0.30: 0.02=6(0.30)dtdh=1.8dtdh, so dtdh=1.80.02=901≈0.0111 m/min, about 1.1 cm per minute.
c)
Since w=2h, differentiate: dtdw=2dtdh=902≈0.0222 m/min, about 2.2 cm per minute.
d)
In general dtdh=6h0.02: the level rises more slowly the wider the trough is at the surface. It would rise half as fast as in b) when h doubles, that is at h=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=0.50: 30.02≈0.0067 m/min, still more than half of 0.0111. Filling time: V(0.50)=3(0.25)=0.75 m³, so t=0.020.75=37.5 min.
Exercise 12: Synthesis problem: an app spreading across a campus
A campus has 500 students. The number of them who use a new app, t weeks after its launch, is modelled by N(t)=1+9e−0.4t500 for t≥0. This problem calls on limits, the quotient rule, the chain rule and the study of concavity all at once.
a) Compute N(0) and limt→+∞N(t). Interpret each of the two values in context.
b) Compute N′(t) and show that it is strictly positive for all t≥0. What does this sign tell you?
c) Check that N satisfies the relation N′=0.4N(1−500N), 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?
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Answers
a)N(0)=50; limit 500
b)N′=(1+9e−0.4t)21800e−0.4t>0
c)N′=0.4N(1−500N)
d)t≈5.49 weeks, N=250, 50 per week
e)t≈10.99 weeks
a)
N(0)=1+9500=50: the app starts with 50 users. As t→+∞, e−0.4t→0 so N(t)→1500=500: in the long run, the whole campus adopts it, without ever exceeding 500 (the line N=500 is a horizontal asymptote, and it is the size of the population).
b)
With u(t)=1+9e−0.4t, we have u′(t)=−3.6e−0.4t and N=500u−1, so N′=−500u−2u′=(1+9e−0.4t)21800e−0.4t. The numerator and the denominator are strictly positive for all t, so N′>0: the number of users grows and never goes back down.
c)
Let u=9e−0.4t. Then N=1+u500 and 1−500N=1−1+u1=1+uu. The right-hand side is therefore 0.4⋅1+u500⋅1+uu=(1+u)2200u. The left-hand side is N′=(1+u)21800e−0.4t=(1+u)2200u since 1800e−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′ reaches its maximum, that is where N′′=0 and changes sign: at the inflection point. Differentiating the relation from c): N′′=0.4N′(1−5002N), which is zero for N=250, half the population. Solve 1+9e−0.4t500=250, that is 9e−0.4t=1, so t=0.4ln9≈5.49 weeks. The rate there is N′=0.4(250)(1−500250)=0.4(250)(0.5)=50 users per week. Before this point N′′>0 (growth speeds up), after it N′′<0 (growth slows down): it is indeed a maximum of N′.
e)
90% of 500 is 450. Solve 1+9e−0.4t500=450, hence 1+9e−0.4t=910, then 9e−0.4t=91 and e−0.4t=811. So t=0.4ln81≈10.99 weeks, about 11 weeks. Note the symmetry: 10% of the campus at t=0 and 90% at t≈10.99, on either side of the instant 5.49 when the app spreads fastest, exactly halfway. This is the S-shaped curve that the interpretation in c) predicted.
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