MATH 140 Calculus 1 • McGill University, Montreal

Corrected exercises: linear approximation and differentials (MATH 140)

This is the corrected exercise set for linear approximation and differentials in MATH 140, Calculus 1, at McGill University, section 3.10 of Stewart. It is the first place where the derivative is used as a tool rather than computed for its own sake: a tangent line replaces a curve near a point, and the differential dy=f′(x) dxdy = f'(x)\,dx measures how an error on a measurement travels into a computed quantity. Every number is exact and chosen to be done by hand, as on the midterm and the final.

The thread running through the whole set: the tangent line is exact AT its point and wrong everywhere else. An estimate is therefore worth marks only with three things written down: the right centre, a nearby point where ff and f′f' are known exactly, with angles in radians; the factor (x−a)(x - a) in L(x)=f(a)+f′(a)(x−a)L(x) = f(a) + f'(a)(x - a); and the side of the error, read on the sign of f′′f''. The differential is the same line, read as an increment.

The traps named in the solutions: dropping the factor (x−a)(x - a), centring at a point where f′f' does not exist or far from the target, applying sin⁡x≈x\sin x \approx x in degrees, announcing an underestimate without looking at f′′f'', forgetting that the side changes at an inflection point, confusing dydy with Δy\Delta y, carrying the relative error of rr unchanged to r3r^3, and counting the thickness of a coat once when it adds on both sides.

10 corrected exercises • 100 points • 150 minutes

Revision sheet for this chapter → Every MATH 140 chapter →

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Course recap

  • • Linearization of ff at aa: L(x)=f(a)+f′(a)(x−a)L(x) = f(a) + f'(a)(x - a), and f(x)≈L(x)f(x) \approx L(x) for xx near aa. It is exact at x=ax = a.
  • • Side of the error: f′′<0f'' < 0 between aa and xx gives an overestimate, f′′>0f'' > 0 an underestimate; at an inflection point the side changes.
  • • Near 00, xx in radians: ex≈1+xe^x \approx 1 + x, ln⁡(1+x)≈x\ln(1 + x) \approx x, sin⁡x≈x\sin x \approx x, tan⁡x≈x\tan x \approx x, (1+x)k≈1+kx(1 + x)^k \approx 1 + kx.
  • • Differentials: dy=f′(x) dxdy = f'(x)\,dx is the rise along the tangent, Δy=f(x+dx)−f(x)\Delta y = f(x + dx) - f(x) the rise along the curve, and Δy≈dy\Delta y \approx dy.
  • • Propagated error: dy=f′(x) dxdy = f'(x)\,dx; relative error dyy\frac{dy}{y}; for y=Cxky = Cx^k, dyy=kdxx\frac{dy}{y} = k\frac{dx}{x}.
  • • A concave down curve lies below its tangents and above its chords; a concave up curve the other way round.

Part A: the basics (/50)

Exercise 1: The linearization of the square root at 4, and the side of the error

The linearization of ff at aa is the tangent line at (a,f(a))(a, f(a)) written as a function: L(x)=f(a)+f′(a)(x−a)L(x) = f(a) + f'(a)(x - a). For xx near aa, f(x)≈L(x)f(x) \approx L(x). The approximation is EXACT at x=ax = a and wrong everywhere else, so an approximation is only complete with its centre, its formula with the factor (x−a)(x - a), and the side of its error.

The side is read on the concavity: where f′′<0f'' < 0 the curve bends below its tangent and LL OVERESTIMATES ff; where f′′>0f'' > 0 it bends above and LL underestimates. The figure shows y=xy = \sqrt x and its tangent at (4,2)(4, 2). No calculator.

1234567890.511.522.533.5y = √xtangent at (4, 2)x
  • a) Find the linearization LL of f(x)=xf(x) = \sqrt x at a=4a = 4.
  • b) Use it to approximate 4.1\sqrt{4.1} and 3.96\sqrt{3.96}, as exact decimals.
  • c) Show with f′′f'' that both values are overestimates, then confirm it by squaring them.
  • d) Why is a=4a = 4 the right centre? What goes wrong with a=0a = 0, and with a=1a = 1, to approximate 4.1\sqrt{4.1}?
  • e) Use the same LL to approximate 5\sqrt 5. By squaring 2.232.23 and 2.242.24, compare the size of the error with the one made on 4.1\sqrt{4.1}.

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  • a) L(x)=2+14(x−4)L(x) = 2 + \frac{1}{4}(x - 4)
  • b) 4.1≈2.025\sqrt{4.1} \approx 2.025, 3.96≈1.99\sqrt{3.96} \approx 1.99
  • c) f′′(x)=−14x−3/2<0f''(x) = -\frac{1}{4}x^{-3/2} < 0: overestimates; 2.0252=4.100625>4.12.025^2 = 4.100625 > 4.1 and 1.992=3.9601>3.961.99^2 = 3.9601 > 3.96
  • d) 44 is the nearest point where ff and f′f' are exact; f′(0)f'(0) does not exist; a=1a = 1 gives 2.552.55, far off.
  • e) 5≈2.25\sqrt 5 \approx 2.25; 2.23<5<2.242.23 < \sqrt 5 < 2.24, error between 0.010.01 and 0.020.02, against less than 0.0010.001 for 4.1\sqrt{4.1}.

a) f(x)=x1/2f(x) = x^{1/2}, so f′(x)=12x−1/2=12xf'(x) = \frac{1}{2}x^{-1/2} = \frac{1}{2\sqrt x} by the power rule. At a=4a = 4: f(4)=2f(4) = 2 and f′(4)=12⋅2=14f'(4) = \frac{1}{2 \cdot 2} = \frac{1}{4}. Hence L(x)=2+14(x−4)L(x) = 2 + \frac{1}{4}(x - 4). Check against the figure: the orange line passes through (4,2)(4, 2) and rises by 11 when xx goes from 44 to 88, a slope of 14\frac{1}{4}; it also meets the vertical axis at L(0)=1L(0) = 1, as drawn. Write the factor (x−4)(x - 4), not xx: the line 2+14x2 + \frac{1}{4}x has the right slope but passes through (4,3)(4, 3), and it is the most frequent lost mark of the chapter.

b) 4.1≈L(4.1)=2+14(0.1)=2+0.025=2.025\sqrt{4.1} \approx L(4.1) = 2 + \frac{1}{4}(0.1) = 2 + 0.025 = 2.025. And 3.96≈L(3.96)=2+14(−0.04)=2−0.01=1.99\sqrt{3.96} \approx L(3.96) = 2 + \frac{1}{4}(-0.04) = 2 - 0.01 = 1.99. The only arithmetic is the product f′(a) (x−a)f'(a)\,(x - a), which is why the centre must make f′(a)f'(a) a simple number. For x<ax < a the increment x−ax - a is negative, and forgetting its sign gives 2.012.01, a value on the wrong side of 22 although 3.96<43.96 < 4.

c) f′′(x)=−14x−3/2<0f''(x) = -\frac{1}{4}x^{-3/2} < 0 for every x>0x > 0: ff is concave down, so its graph lies below each of its tangent lines, as the figure shows on both sides of (4,2)(4, 2). Therefore L(x)≥xL(x) \ge \sqrt x, and both estimates are too large. Confirmation by squaring, which is exact arithmetic: 2.0252=4.100625>4.12.025^2 = 4.100625 > 4.1, so 2.025>4.12.025 > \sqrt{4.1}; and 1.992=3.9601>3.961.99^2 = 3.9601 > 3.96, so 1.99>3.961.99 > \sqrt{3.96}. Squaring the estimate is the cheapest check of the chapter, and it must agree with the side predicted by f′′f''.

d) The centre must be a point NEAR the target where f(a)f(a) and f′(a)f'(a) are known exactly: 44 is the perfect square next to 4.14.1, and f′(4)=14f'(4) = \frac{1}{4} is a clean fraction. At a=0a = 0, f′(0)=120f'(0) = \frac{1}{2\sqrt 0} does not exist: the tangent at the origin is vertical and there is no linearization. At a=1a = 1, L1(x)=1+12(x−1)L_1(x) = 1 + \frac{1}{2}(x - 1) gives L1(4.1)=1+1.55=2.55L_1(4.1) = 1 + 1.55 = 2.55, while 4.1\sqrt{4.1} is barely above 22: an error of more than 0.50.5, because 4.14.1 is far from 11 and the curve has bent a lot in between.

e) L(5)=2+14=2.25L(5) = 2 + \frac{1}{4} = 2.25. Now 2.232=4.9729<52.23^2 = 4.9729 < 5 and 2.242=5.0176>52.24^2 = 5.0176 > 5, so 2.23<5<2.242.23 < \sqrt 5 < 2.24 and the error 2.25−52.25 - \sqrt 5 lies between 0.010.01 and 0.020.02. For 4.1\sqrt{4.1}: 2.0242=4.096576<4.12.024^2 = 4.096576 < 4.1, so 2.024<4.1<2.0252.024 < \sqrt{4.1} < 2.025 and the error is below 0.0010.001. The distance to the centre went from 0.10.1 to 11, ten times more, and the error grew by a factor of more than ten, about a hundred. The tangent is a LOCAL tool: its quality collapses as soon as xx moves away from aa.

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Exercise 2: Cube roots and reciprocals: the same gesture, and the side read on the figure

The gesture of Exercise 1 applies to any number close to a point where the function is known exactly: a cube root near a perfect cube, a reciprocal near 11. Each time, name ff and aa, compute f(a)f(a) and f′(a)f'(a) exactly, write LL with its factor (x−a)(x - a), and decide the side of the error.

The figure shows y=1xy = \frac{1}{x} and its tangent at (1,1)(1, 1). No calculator: give fractions or short exact decimals.

0.511.522.530.511.522.533.5y = 1/xtangent y = 2 - xx
  • a) Find the linearization of f(x)=x3f(x) = \sqrt[3]{x} at a=8a = 8, and use it to approximate 7.93\sqrt[3]{7.9} as a fraction and 8.243\sqrt[3]{8.24} as a decimal.
  • b) Find the linearization of g(x)=1xg(x) = \frac{1}{x} at a=1a = 1, and approximate 10.98\frac{1}{0.98} and 11.05\frac{1}{1.05}.
  • c) Decide whether each of the four estimates is too large or too small, with the sign of the second derivative, and confirm with an exact multiplication.
  • d) Since 10.98=5049\frac{1}{0.98} = \frac{50}{49}, compute the exact error of the estimate of b).
  • e) Using only the figure, explain why the tangent of gg is useless to approximate 12\frac{1}{2}, and what that says about where LL can be trusted.

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  • a) L(x)=2+112(x−8)L(x) = 2 + \frac{1}{12}(x - 8); 7.93≈239120\sqrt[3]{7.9} \approx \frac{239}{120}, 8.243≈2.02\sqrt[3]{8.24} \approx 2.02
  • b) L(x)=2−xL(x) = 2 - x; 10.98≈1.02\frac{1}{0.98} \approx 1.02, 11.05≈0.95\frac{1}{1.05} \approx 0.95
  • c) Cube root: f′′<0f'' < 0, both too large; reciprocal: g′′>0g'' > 0 for x>0x > 0, both too small.
  • d) 5049−1.02=12450\frac{50}{49} - 1.02 = \frac{1}{2450}
  • e) L(2)=0L(2) = 0 while 12=0.5\frac{1}{2} = 0.5: the tangent is only reliable close to x=1x = 1.

a) f(x)=x1/3f(x) = x^{1/3}, so f′(x)=13x−2/3=13x23f'(x) = \frac{1}{3}x^{-2/3} = \frac{1}{3\sqrt[3]{x^2}}. At a=8a = 8, the perfect cube next to both targets: f(8)=2f(8) = 2 and f′(8)=13⋅4=112f'(8) = \frac{1}{3 \cdot 4} = \frac{1}{12}. So L(x)=2+112(x−8)L(x) = 2 + \frac{1}{12}(x - 8). Then 7.93≈2+112(−0.1)=2−1120=239120\sqrt[3]{7.9} \approx 2 + \frac{1}{12}(-0.1) = 2 - \frac{1}{120} = \frac{239}{120}, and 8.243≈2+0.2412=2+0.02=2.02\sqrt[3]{8.24} \approx 2 + \frac{0.24}{12} = 2 + 0.02 = 2.02. The value f′(8)=112f'(8) = \frac{1}{12} is the whole reason for choosing 88: 823=4\sqrt[3]{8^2} = 4 is exact.

b) g(x)=x−1g(x) = x^{-1}, g′(x)=−x−2g'(x) = -x^{-2}, so g(1)=1g(1) = 1 and g′(1)=−1g'(1) = -1: L(x)=1−(x−1)=2−xL(x) = 1 - (x - 1) = 2 - x, the orange line of the figure. Hence 10.98≈2−0.98=1.02\frac{1}{0.98} \approx 2 - 0.98 = 1.02 and 11.05≈2−1.05=0.95\frac{1}{1.05} \approx 2 - 1.05 = 0.95. The rule a student remembers, 11+h≈1−h\frac{1}{1 + h} \approx 1 - h, is exactly this linearization with x=1+hx = 1 + h.

c) f′′(x)=−29x−5/3<0f''(x) = -\frac{2}{9}x^{-5/3} < 0 for x>0x > 0: the cube root is concave down there, its tangent lies above, and both estimates are too large. Check: (239120)3=13 651 9191 728 000\left(\frac{239}{120}\right)^3 = \frac{13\,651\,919}{1\,728\,000} while 7.9=13 651 2001 728 0007.9 = \frac{13\,651\,200}{1\,728\,000}, so 239120>7.93\frac{239}{120} > \sqrt[3]{7.9}; and 2.023=8.242408>8.242.02^3 = 8.242408 > 8.24. For the reciprocal, g′′(x)=2x3>0g''(x) = \frac{2}{x^3} > 0 for x>0x > 0: concave up, tangent below, both estimates too small, which is what the figure shows on both sides of (1,1)(1, 1). Check: 1.02×0.98=0.9996<11.02 \times 0.98 = 0.9996 < 1, so 1.02<10.981.02 < \frac{1}{0.98}; and 0.95×1.05=0.9975<10.95 \times 1.05 = 0.9975 < 1, so 0.95<11.050.95 < \frac{1}{1.05}. The side does not depend on whether xx is left or right of aa, as long as the concavity keeps its sign between them.

d) 5049−1.02=5049−5150=2500−24992450=12450\frac{50}{49} - 1.02 = \frac{50}{49} - \frac{51}{50} = \frac{2500 - 2499}{2450} = \frac{1}{2450}, positive as predicted in c), and about 0.00040.0004. An error of that size for a distance 0.020.02 to the centre is typical: it is roughly the square of the distance, which is why a linear approximation is excellent very close to aa and nowhere else.

e) On the figure the orange line reaches the horizontal axis at x=2x = 2: L(2)=0L(2) = 0, while g(2)=12g(2) = \frac{1}{2}. The estimate is not slightly wrong, it is meaningless, since a positive number is approximated by 00. The tangent follows the curve only in a small neighbourhood of the point of contact; one unit away, the curve has bent up so far that the line says nothing about it. Before using LL, look at the distance ∣x−a∣|x - a| compared with the scale on which ff changes.

Exercise 3: The small-x rules: linearizing at 0, and at 1 when 0 is the wrong centre

Linearized at 00, the standard functions give the approximations used everywhere in science for small xx: ex≈1+xe^x \approx 1 + x, ln⁡(1+x)≈x\ln(1 + x) \approx x, sin⁡x≈x\sin x \approx x, tan⁡x≈x\tan x \approx x, (1+x)k≈1+kx(1 + x)^k \approx 1 + kx. Each is a tangent line, each is valid only for xx close to 00, with xx in RADIANS for the trigonometric ones, and each has a side.

The figure shows y=ln⁡(1+x)y = \ln(1 + x) and its tangent y=xy = x at the origin.

-0.4-0.20.20.40.60.811.21.4-1-0.8-0.6-0.4-0.20.20.40.60.811.21.4y = xy = ln(1 + x)x
  • a) Derive the five rules above as linearizations at a=0a = 0.
  • b) Approximate e−0.03e^{-0.03}, ln⁡1.02\ln 1.02 and sin⁡0.01\sin 0.01, and give the side of each error.
  • c) Approximate 1.06\sqrt{1.06} and 11.013\frac{1}{1.01^3} with (1+x)k≈1+kx(1 + x)^k \approx 1 + kx, with the side of each error and an exact check.
  • d) Approximate arctan⁡1.02\arctan 1.02. Why is a=0a = 0 the wrong centre here? Give the side of the error.
  • e) A student uses ln⁡(1+x)≈x\ln(1 + x) \approx x to write ln⁡2≈1\ln 2 \approx 1 and ln⁡0.5≈−0.5\ln 0.5 \approx -0.5. Compare with ln⁡2≈0.69\ln 2 \approx 0.69 and explain.

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  • a) L=1+xL = 1 + x, xx, xx, xx, 1+kx1 + kx
  • b) e−0.03≈0.97e^{-0.03} \approx 0.97 (too small), ln⁡1.02≈0.02\ln 1.02 \approx 0.02 (too large), sin⁡0.01≈0.01\sin 0.01 \approx 0.01 (too large)
  • c) 1.06≈1.03\sqrt{1.06} \approx 1.03 (too large, 1.032=1.06091.03^2 = 1.0609); 11.013≈0.97\frac{1}{1.01^3} \approx 0.97 (too small)
  • d) arctan⁡1.02≈π4+0.01\arctan 1.02 \approx \frac{\pi}{4} + 0.01, too large; 1.021.02 is near 11, not near 00.
  • e) ln⁡2≈0.69\ln 2 \approx 0.69, not 11; ln⁡0.5≈−0.69\ln 0.5 \approx -0.69, not −0.5-0.5: x=±1x = \pm 1 and x=−0.5x = -0.5 are not small.

a) Each time L(x)=f(0)+f′(0) xL(x) = f(0) + f'(0)\,x. For exe^x: f(0)=1f(0) = 1, f′(0)=e0=1f'(0) = e^0 = 1, so L=1+xL = 1 + x. For ln⁡(1+x)\ln(1 + x): f(0)=0f(0) = 0, f′(x)=11+xf'(x) = \frac{1}{1 + x} by the chain rule with inner function 1+x1 + x, f′(0)=1f'(0) = 1, so L=xL = x. For sin⁡x\sin x: f(0)=0f(0) = 0, f′(0)=cos⁡0=1f'(0) = \cos 0 = 1, so L=xL = x. For tan⁡x\tan x: f(0)=0f(0) = 0, f′(0)=sec⁡20=1f'(0) = \sec^2 0 = 1, so L=xL = x. For (1+x)k(1 + x)^k: f(0)=1f(0) = 1, f′(x)=k(1+x)k−1f'(x) = k(1 + x)^{k-1}, f′(0)=kf'(0) = k, so L=1+kxL = 1 + kx. The derivatives of sin⁡\sin and tan⁡\tan are cos⁡\cos and sec⁡2\sec^2 only in radians; in degrees every one of these rules is false.

b) e−0.03≈1−0.03=0.97e^{-0.03} \approx 1 - 0.03 = 0.97; (ex)′′=ex>0(e^x)'' = e^x > 0, the curve lies above its tangent, so 0.970.97 is too small. ln⁡1.02=ln⁡(1+0.02)≈0.02\ln 1.02 = \ln(1 + 0.02) \approx 0.02; (ln⁡(1+x))′′=−1(1+x)2<0(\ln(1 + x))'' = -\frac{1}{(1 + x)^2} < 0, the curve lies below its tangent, as the figure shows on both sides of 00, so 0.020.02 is too large. sin⁡0.01≈0.01\sin 0.01 \approx 0.01; (sin⁡x)′′=−sin⁡x<0(\sin x)'' = -\sin x < 0 on (0,π)(0, \pi), so on the right of 00 the curve lies below the tangent and 0.010.01 is too large. The three values look alike and their errors do not have the same sign: the side is part of the answer.

c) 1.06=(1+0.06)1/2≈1+12(0.06)=1.03\sqrt{1.06} = (1 + 0.06)^{1/2} \approx 1 + \frac{1}{2}(0.06) = 1.03. The second derivative of (1+x)1/2(1 + x)^{1/2} is −14(1+x)−3/2<0-\frac{1}{4}(1 + x)^{-3/2} < 0, so 1.031.03 is too large; indeed 1.032=1.0609>1.061.03^2 = 1.0609 > 1.06. Next, 11.013=(1+0.01)−3≈1−3(0.01)=0.97\frac{1}{1.01^3} = (1 + 0.01)^{-3} \approx 1 - 3(0.01) = 0.97. The second derivative of (1+x)−3(1 + x)^{-3} is 12(1+x)−5>012(1 + x)^{-5} > 0 near 00, so 0.970.97 is too small; indeed 0.97×1.013=0.97×1.030301=0.99939197<10.97 \times 1.01^3 = 0.97 \times 1.030301 = 0.99939197 < 1. The exponent kk goes in front of xx WITH its sign: 1+3(0.01)1 + 3(0.01) would put the estimate above 11, although 1.013>11.01^3 > 1 makes the quotient smaller than 11.

d) 1.021.02 is not small: arctan⁡x≈x\arctan x \approx x would give 1.021.02, a tangent at 00 used at distance 1.021.02. The right centre is a=1a = 1, where arctan⁡1=π4\arctan 1 = \frac{\pi}{4} is exact and (arctan⁡x)′=11+x2(\arctan x)' = \frac{1}{1 + x^2} gives 12\frac{1}{2}. So L(x)=π4+12(x−1)L(x) = \frac{\pi}{4} + \frac{1}{2}(x - 1) and arctan⁡1.02≈π4+0.01\arctan 1.02 \approx \frac{\pi}{4} + 0.01, about 0.7950.795 with π≈3.14\pi \approx 3.14, far from 1.021.02. The second derivative is −2x(1+x2)2<0-\frac{2x}{(1 + x^2)^2} < 0 for x>0x > 0: the estimate is too large. The answer stays exact, π4+0.01\frac{\pi}{4} + 0.01; the decimal is only an order of magnitude.

e) On the figure the line y=xy = x and the curve y=ln⁡(1+x)y = \ln(1 + x) separate quickly: at x=1x = 1 the line is at 11 and the curve at ln⁡2≈0.69\ln 2 \approx 0.69, an error of about 0.310.31, a third of the value. At x=−0.5x = -0.5, the line gives −0.5-0.5 and the curve ln⁡0.5=−ln⁡2≈−0.69\ln 0.5 = -\ln 2 \approx -0.69. The rule ln⁡(1+x)≈x\ln(1 + x) \approx x is a statement about SMALL xx, like 0.020.02 in b), where the error is about 0.00020.0002. A small-xx rule used at x=1x = 1 is a tangent used far from its point.

Exercise 4: Differentials: dy along the tangent, Delta y along the curve

For y=f(x)y = f(x), the differential dxdx is an independent increment and dy=f′(x) dxdy = f'(x)\,dx. On the graph, dydy is the rise ALONG THE TANGENT when xx moves by dxdx, while Δy=f(x+dx)−f(x)\Delta y = f(x + dx) - f(x) is the rise along the CURVE. Linear approximation is the statement Δy≈dy\Delta y \approx dy.

The figure shows y=x3y = x^3 near P(2,8)P(2, 8) with a deliberately large dx=0.5dx = 0.5: RR is at the height of PP, TT is on the tangent at PP and QQ on the curve, all three at x=2.5x = 2.5.

1.51.7522.252.52.754681012141618PTQRdx = 0.5y = x³tangent at P
  • a) Find dydy for y=x3y = x^3. With x=2x = 2 and dx=0.5dx = 0.5, compute dydy and Δy\Delta y, and say which segments of the figure they are.
  • b) Compute dydy and Δy\Delta y at x=2x = 2 for dx=0.1dx = 0.1, then for dx=0.01dx = 0.01.
  • c) Show that Δy−dy=3x(dx)2+(dx)3\Delta y - dy = 3x(dx)^2 + (dx)^3, and explain why the ratio Δy−dydx\frac{\Delta y - dy}{dx} tends to 00 as dx→0dx \to 0.
  • d) For y=x2+9y = \sqrt{x^2 + 9}, compute dydy at x=4x = 4 with dx=−0.2dx = -0.2. Using 4.842=23.42564.84^2 = 23.4256, decide whether Δy\Delta y is larger or smaller than dydy.
  • e) A square has side ss. Show that when the side grows by dsds, dA=2s dsdA = 2s\,ds while ΔA=2s ds+(ds)2\Delta A = 2s\,ds + (ds)^2, and describe the two pieces geometrically.

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  • a) dy=3x2 dxdy = 3x^2\,dx; dy=6=RTdy = 6 = RT, Δy=7.625=RQ\Delta y = 7.625 = RQ
  • b) dx=0.1dx = 0.1: dy=1.2dy = 1.2, Δy=1.261\Delta y = 1.261; dx=0.01dx = 0.01: dy=0.12dy = 0.12, Δy=0.120601\Delta y = 0.120601
  • c) Δy−dydx=3x dx+(dx)2→0\frac{\Delta y - dy}{dx} = 3x\,dx + (dx)^2 \to 0
  • d) dy=−0.16dy = -0.16; Δy>−0.16\Delta y > -0.16 (it lies between −0.16-0.16 and −0.158-0.158)
  • e) dAdA: two strips s×dss \times ds; ΔA\Delta A adds the corner square (ds)2(ds)^2.

a) dydx=3x2\frac{dy}{dx} = 3x^2, so dy=3x2 dxdy = 3x^2\,dx. At x=2x = 2 with dx=0.5dx = 0.5: dy=12×0.5=6dy = 12 \times 0.5 = 6. And Δy=2.53−23=15.625−8=7.625\Delta y = 2.5^3 - 2^3 = 15.625 - 8 = 7.625. On the figure, R(2.5,8)R(2.5, 8) is level with PP, the tangent at PP has equation y=8+12(x−2)y = 8 + 12(x - 2) and reaches T(2.5,14)T(2.5, 14), and the curve reaches Q(2.5,15.625)Q(2.5, 15.625). So dydy is the segment RTRT, of length 66, and Δy\Delta y is the segment RQRQ, of length 7.6257.625. The gap TQ=1.625TQ = 1.625 is the error of the linear approximation, large here only because dxdx was chosen large to be visible.

b) For dx=0.1dx = 0.1: dy=12×0.1=1.2dy = 12 \times 0.1 = 1.2 and Δy=2.13−8=9.261−8=1.261\Delta y = 2.1^3 - 8 = 9.261 - 8 = 1.261, a gap of 0.0610.061. For dx=0.01dx = 0.01: dy=0.12dy = 0.12 and Δy=2.013−8=8.120601−8=0.120601\Delta y = 2.01^3 - 8 = 8.120601 - 8 = 0.120601, a gap of 0.0006010.000601. When dxdx is divided by 1010, dydy is divided by 1010, but the gap is divided by about 100100: relative to dydy, the error of the tangent shrinks. This is the whole content of the approximation Δy≈dy\Delta y \approx dy.

c) (x+dx)3=x3+3x2 dx+3x(dx)2+(dx)3(x + dx)^3 = x^3 + 3x^2\,dx + 3x(dx)^2 + (dx)^3, so Δy=3x2 dx+3x(dx)2+(dx)3\Delta y = 3x^2\,dx + 3x(dx)^2 + (dx)^3 and Δy−dy=3x(dx)2+(dx)3\Delta y - dy = 3x(dx)^2 + (dx)^3. At x=2x = 2: 6(0.1)2+(0.1)3=0.06+0.001=0.0616(0.1)^2 + (0.1)^3 = 0.06 + 0.001 = 0.061, as found in b). Dividing by dxdx: Δy−dydx=3x dx+(dx)2→0\frac{\Delta y - dy}{dx} = 3x\,dx + (dx)^2 \to 0 as dx→0dx \to 0. The error is not only small, it is small COMPARED WITH dxdx; that is what makes the tangent the best line through PP, since any other line through PP leaves an error of the same order as dxdx.

d) dydx=xx2+9\frac{dy}{dx} = \frac{x}{\sqrt{x^2 + 9}} by the chain rule with inner function x2+9x^2 + 9. At x=4x = 4: 25=5\sqrt{25} = 5, so dy=45(−0.2)=−0.16dy = \frac{4}{5}(-0.2) = -0.16. The exact change is Δy=3.82+9−5=23.44−5\Delta y = \sqrt{3.8^2 + 9} - 5 = \sqrt{23.44} - 5. Since 4.842=23.4256<23.444.84^2 = 23.4256 < 23.44, 23.44>4.84\sqrt{23.44} > 4.84 and Δy>4.84−5=−0.16=dy\Delta y > 4.84 - 5 = -0.16 = dy; and 4.8422=23.444964>23.444.842^2 = 23.444964 > 23.44 gives Δy<−0.158\Delta y < -0.158. The function decreases less than the tangent predicts: the curve is concave up, the tangent lies below it, and with dx<0dx < 0 that means dydy is the more negative of the two. A negative dxdx gives a negative dydy here; dropping the sign of dxdx is the common slip.

e) A=s2A = s^2 gives dA=2s dsdA = 2s\,ds, while ΔA=(s+ds)2−s2=2s ds+(ds)2\Delta A = (s + ds)^2 - s^2 = 2s\,ds + (ds)^2. Geometrically, enlarge the square by dsds to the right and upwards: the added region is two strips of size s×dss \times ds along two sides, total 2s ds2s\,ds, plus a small corner square ds×dsds \times ds. The differential keeps the two strips and drops the corner, whose area (ds)2(ds)^2 is negligible compared with dsds when dsds is small. The same picture, with a cube and its three slabs, explains dV=3s2 dsdV = 3s^2\,ds.

Exercise 5: Over or under: the side of the error, from f'' alone

The side of a linear approximation is decided by the concavity between aa and xx: if f′′<0f'' < 0 there, the tangent lies above the curve and LL overestimates; if f′′>0f'' > 0, it lies below and LL underestimates. You may need nothing else: often ff is not even known, only its value, its derivative and the sign of f′′f''.

At an INFLECTION point the concavity changes sign, and so does the side. The figure shows y=sin⁡xy = \sin x with its tangent y=xy = x at the origin and its tangent y=1y = 1 at (π2,1)\left(\frac{\pi}{2}, 1\right).

-3-2-1123-1.5-1-0.50.511.5y = sin xy = xy = 1x
  • a) f(1)=2f(1) = 2, f′(1)=3f'(1) = 3 and f′′(x)<0f''(x) < 0 for all xx. Estimate f(1.2)f(1.2) and f(0.9)f(0.9), and say whether each estimate is too large or too small.
  • b) g(2)=5g(2) = 5, g′(2)=−1g'(2) = -1 and g′′(x)>0g''(x) > 0 for all xx. Estimate g(1.9)g(1.9) and g(2.3)g(2.3), with the side.
  • c) A function hh is known only through h(2)=3h(2) = 3 and h′(x)=x2+5h'(x) = \sqrt{x^2 + 5}. Estimate h(2.1)h(2.1) and h(1.9)h(1.9), with the side.
  • d) On the figure, which side is the tangent y=xy = x of sin⁡x\sin x on, for x>0x > 0 and for x<0x < 0? Deduce the side of sin⁡0.01≈0.01\sin 0.01 \approx 0.01 and of sin⁡(−0.01)≈−0.01\sin(-0.01) \approx -0.01. Same questions for y=1y = 1 near π2\frac{\pi}{2}.
  • e) A student writes: the linear approximation of x3x^3 at a=1a = 1 always underestimates. Is it true for x=1.1x = 1.1, x=0.9x = 0.9, and x=−3x = -3? Conclude.

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  • a) f(1.2)≈2.6f(1.2) \approx 2.6, f(0.9)≈1.7f(0.9) \approx 1.7: both too large
  • b) g(1.9)≈5.1g(1.9) \approx 5.1, g(2.3)≈4.7g(2.3) \approx 4.7: both too small
  • c) h(2.1)≈3.3h(2.1) \approx 3.3, h(1.9)≈2.7h(1.9) \approx 2.7: both too small (h′′=xx2+5>0h'' = \frac{x}{\sqrt{x^2 + 5}} > 0)
  • d) y=xy = x is above sin⁡x\sin x for x>0x > 0, below for x<0x < 0: 0.010.01 too large, −0.01-0.01 too small; y=1y = 1 is above on both sides.
  • e) True at 1.11.1 (1.3<1.3311.3 < 1.331) and 0.90.9 (0.7<0.7290.7 < 0.729); false at −3-3 (L(−3)=−11>−27L(-3) = -11 > -27). Concavity guarantees the side only where f′′=6x>0f'' = 6x > 0.

a) L(x)=f(1)+f′(1)(x−1)=2+3(x−1)L(x) = f(1) + f'(1)(x - 1) = 2 + 3(x - 1). So f(1.2)≈2+0.6=2.6f(1.2) \approx 2 + 0.6 = 2.6 and f(0.9)≈2−0.3=1.7f(0.9) \approx 2 - 0.3 = 1.7. Since f′′<0f'' < 0 everywhere, the graph of ff is concave down and lies below every tangent, on BOTH sides of the point of contact: both values are overestimates. A frequent confusion is to think that the side changes when xx passes from the right to the left of aa; it is the concavity that decides, not the direction of the step.

b) L(x)=5−(x−2)L(x) = 5 - (x - 2). So g(1.9)≈5+0.1=5.1g(1.9) \approx 5 + 0.1 = 5.1 and g(2.3)≈5−0.3=4.7g(2.3) \approx 5 - 0.3 = 4.7. Since g′′>0g'' > 0, the graph lies above its tangents: both values are underestimates. Note the minus sign of g′(2)g'(2): to the left of 22 the function is larger than 55, to the right smaller, and the tangent reproduces that before the concavity tells us by how much it misses.

c) h′(2)=4+5=3h'(2) = \sqrt{4 + 5} = 3, so L(x)=3+3(x−2)L(x) = 3 + 3(x - 2), h(2.1)≈3.3h(2.1) \approx 3.3 and h(1.9)≈2.7h(1.9) \approx 2.7. The formula for hh is not needed: differentiate h′h' by the chain rule, h′′(x)=2x2x2+5=xx2+5h''(x) = \frac{2x}{2\sqrt{x^2 + 5}} = \frac{x}{\sqrt{x^2 + 5}}, which is positive for x>0x > 0, so in particular on [1.9,2.1][1.9, 2.1]. The graph of hh lies above its tangent there: both estimates are too small. On an exam, this is the typical form of the question: the side is asked about a function nobody could write down.

d) (sin⁡x)′′=−sin⁡x(\sin x)'' = -\sin x, negative on (0,π)(0, \pi) and positive on (−π,0)(-\pi, 0): 00 is an inflection point. On the figure the line y=xy = x is above the curve for x>0x > 0 and below for x<0x < 0: the tangent CROSSES the curve at an inflection point. So sin⁡0.01≈0.01\sin 0.01 \approx 0.01 is too large, and sin⁡(−0.01)≈−0.01\sin(-0.01) \approx -0.01 is too small, since sin⁡(−0.01)=−sin⁡0.01>−0.01\sin(-0.01) = -\sin 0.01 > -0.01. Near π2\frac{\pi}{2}, sin⁡\sin is concave down on both sides, and the horizontal tangent y=1y = 1 lies above the curve on both sides: sin⁡(π2±0.1)≈1\sin\left(\frac{\pi}{2} \pm 0.1\right) \approx 1 is too large either way, which is obvious since sin⁡≤1\sin \le 1.

e) L(x)=1+3(x−1)=3x−2L(x) = 1 + 3(x - 1) = 3x - 2 and f′′(x)=6xf''(x) = 6x. At x=1.1x = 1.1: L=1.3L = 1.3 and 1.13=1.3311.1^3 = 1.331, too small. At x=0.9x = 0.9: L=0.7L = 0.7 and 0.93=0.7290.9^3 = 0.729, too small. Both agree with f′′>0f'' > 0 on the interval between 11 and xx. At x=−3x = -3: L(−3)=−11L(-3) = -11 while (−3)3=−27(-3)^3 = -27, so the estimate is now too LARGE. The claim is false, and the reason is the inflection point at 00: between −3-3 and 11 the concavity changes sign, the tangent crosses the curve, and nothing guaranteed the side. The factorization x3−(3x−2)=(x−1)2(x+2)x^3 - (3x - 2) = (x - 1)^2(x + 2) shows exactly where the estimate is too small, for x>−2x > -2; the concavity argument, which is the one expected, covers x>0x > 0. A side claimed without the interval on which f′′f'' keeps its sign is not justified, and −3-3 is in any case far too far from 11 for the estimate to mean anything.

Part B: problems and reasoning (/50)

Exercise 6: Propagated error: the radius of a sphere, measured to within half a millimetre

A measured quantity xx comes with a maximum error dxdx. A quantity computed from it, y=f(x)y = f(x), then carries the PROPAGATED error dy=f′(x) dxdy = f'(x)\,dx, the linear estimate of Δy\Delta y. The relative error is dyy\frac{dy}{y}, and the percentage error is 100dyy100\frac{dy}{y}. Exact answers are expected, in terms of π\pi where it appears.

The radius of a steel ball is measured as 1010 cm, with a maximum error of 0.050.05 cm. The figure shows a cross-section, with the shell of thickness drdr drawn much thicker than it is.

r = 10 cmshell of thickness dr (exaggerated)
  • a) Use differentials to estimate the maximum error in the computed volume V=43πr3V = \frac{4}{3}\pi r^3.
  • b) Find the relative error and the percentage error in the volume, and compare them with those of the radius.
  • c) Same questions for the surface area S=4πr2S = 4\pi r^2.
  • d) Show that for any quantity y=Cxky = Cx^k, the relative error of yy is ∣k∣|k| times the relative error of xx. Explain the figure: why is dVdV close to the volume of the shell?
  • e) What maximum error on the radius would keep the error on the volume below 3%3\%? And what is the exact ΔV\Delta V for dr=0.05dr = 0.05, compared with dVdV?

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  • a) dV=4πr2 dr=20πdV = 4\pi r^2\,dr = 20\pi cm3^3
  • b) dVV=3200=1.5%\frac{dV}{V} = \frac{3}{200} = 1.5\%, three times the 0.5%0.5\% of the radius
  • c) dS=8πr dr=4πdS = 8\pi r\,dr = 4\pi cm2^2, dSS=1%\frac{dS}{S} = 1\%
  • d) dyy=kdxx\frac{dy}{y} = k\frac{dx}{x}; dV=S drdV = S\,dr is the area of the sphere times the thickness of the shell.
  • e) drr≤1%\frac{dr}{r} \le 1\%, so dr≤0.1dr \le 0.1 cm; ΔV=43π(15.075125)=20.100…π\Delta V = \frac{4}{3}\pi(15.075125) = 20.100\ldots\pi cm3^3

a) dVdr=4πr2\frac{dV}{dr} = 4\pi r^2, so dV=4πr2 drdV = 4\pi r^2\,dr. With r=10r = 10 and dr=0.05dr = 0.05: dV=4π(100)(0.05)=20πdV = 4\pi(100)(0.05) = 20\pi cm3^3, about 6363 cm3^3 with π≈3.14\pi \approx 3.14. This is the maximum error of the computed volume, to first order: a radius read anywhere between 9.959.95 and 10.0510.05 gives a volume within about 20π20\pi of 4000π3\frac{4000\pi}{3}. Give 20π20\pi, not a machine decimal: the exact form is the answer, the decimal an order of magnitude.

b) V=43π(1000)=4000π3V = \frac{4}{3}\pi(1000) = \frac{4000\pi}{3}, so dVV=20π4000π/3=604000=3200=0.015\frac{dV}{V} = \frac{20\pi}{4000\pi/3} = \frac{60}{4000} = \frac{3}{200} = 0.015, that is 1.5%1.5\%. The radius itself has relative error 0.0510=0.005=0.5%\frac{0.05}{10} = 0.005 = 0.5\%. The volume is three times less precise than the radius: the cube in the formula multiplies the relative error by 33. Answering 0.5%0.5\% for the volume, because the radius is known to 0.5%0.5\%, is the classic mistake.

c) dS=8πr dr=8π(10)(0.05)=4πdS = 8\pi r\,dr = 8\pi(10)(0.05) = 4\pi cm2^2, and S=400πS = 400\pi, so dSS=4π400π=0.01=1%\frac{dS}{S} = \frac{4\pi}{400\pi} = 0.01 = 1\%, twice the relative error of the radius, because of the square. Faster: dSS=8πr dr4πr2=2drr\frac{dS}{S} = \frac{8\pi r\,dr}{4\pi r^2} = 2\frac{dr}{r}, with no number at all.

d) If y=Cxky = Cx^k, then dy=Ckxk−1 dxdy = Ckx^{k-1}\,dx and dyy=Ckxk−1 dxCxk=kdxx\frac{dy}{y} = \frac{Ckx^{k-1}\,dx}{Cx^k} = k\frac{dx}{x}, so ∣dyy∣=∣k∣∣dxx∣\left|\frac{dy}{y}\right| = |k|\left|\frac{dx}{x}\right|: the constant CC, here 43π\frac{4}{3}\pi or 4π4\pi, plays no role. On the figure, the error on the radius adds a thin shell around the ball; its volume is roughly its area times its thickness, 4πr2×dr4\pi r^2 \times dr, which is exactly dV=S drdV = S\,dr. The differential of the volume of a sphere is its surface times the thickness: the same picture as the strips of a square in Exercise 4.

e) We need 3drr≤0.033\frac{dr}{r} \le 0.03, that is drr≤0.01\frac{dr}{r} \le 0.01, so dr≤0.01×10=0.1dr \le 0.01 \times 10 = 0.1 cm. The exact change is ΔV=43π(10.053−103)=43π(1015.075125−1000)=43π(15.075125)=20.100166…π\Delta V = \frac{4}{3}\pi(10.05^3 - 10^3) = \frac{4}{3}\pi(1015.075125 - 1000) = \frac{4}{3}\pi(15.075125) = 20.100166\ldots\pi cm3^3, against dV=20πdV = 20\pi: the differential misses by about 0.1π0.1\pi, one two-hundredth of its value. For an error of measurement, which is itself only known to one significant figure, dVdV is all the precision that makes sense.

Exercise 7: The pendulum: which measurement limits the precision on g

The period of a simple pendulum of length LL is T=2πLgT = 2\pi\sqrt{\frac{L}{g}}. For this exercise take g=π2g = \pi^2 m/s2^2 (about 9.879.87, close to the true value), so that T=2LT = 2\sqrt L with LL in metres and TT in seconds. The figure shows TT as a function of LL and the tangent at L=0.81L = 0.81 m.

In a laboratory, the pendulum is used the other way round: LL and TT are measured, and g=4π2LT2g = \frac{4\pi^2 L}{T^2} is computed. Every error is a maximum error, estimated with differentials.

0.250.50.7511.251.50.511.522.5T = 2√Ltangent at L = 0.810.81L (m)T (s)
  • a) For L=0.81L = 0.81 m, compute TT. If LL is known to within 0.010.01 m, estimate the error on TT with dTdT, then give the relative error.
  • b) Show that dTT=12dLL\frac{dT}{T} = \frac{1}{2}\frac{dL}{L} in general, and check it on a).
  • c) Ten full oscillations are timed at 18.018.0 s, to within 0.20.2 s. Find TT and its maximum error, then the relative error this causes on gg, LL being assumed exact.
  • d) Taking ln⁡\ln of g=4π2LT2g = \frac{4\pi^2 L}{T^2} and differentiating, show that ∣dgg∣≤∣dLL∣+2∣dTT∣\left|\frac{dg}{g}\right| \le \left|\frac{dL}{L}\right| + 2\left|\frac{dT}{T}\right|, and give the worst-case relative error on gg with both errors of a) and c).
  • e) Which measurement is worth improving first? What does timing 2020 oscillations instead of 1010 change?

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  • a) T=1.8T = 1.8 s; dT=190dT = \frac{1}{90} s, about 0.0110.011 s; dTT=1162\frac{dT}{T} = \frac{1}{162}, about 0.6%0.6\%
  • b) dT=dLLdT = \frac{dL}{\sqrt L}, so dTT=dL2L\frac{dT}{T} = \frac{dL}{2L}; 12⋅181=1162\frac{1}{2} \cdot \frac{1}{81} = \frac{1}{162}
  • c) T=1.8±0.02T = 1.8 \pm 0.02 s, dTT=190\frac{dT}{T} = \frac{1}{90}; dgg=2dTT=145\frac{dg}{g} = 2\frac{dT}{T} = \frac{1}{45}, about 2.2%2.2\%
  • d) 181+290=28810\frac{1}{81} + \frac{2}{90} = \frac{28}{810}, about 3.5%3.5\%
  • e) The timing: it weighs double. With 2020 oscillations, dTT=1180\frac{dT}{T} = \frac{1}{180} and the timing part drops to 1.1%1.1\%.

a) T=20.81=2(0.9)=1.8T = 2\sqrt{0.81} = 2(0.9) = 1.8 s. Since dTdL=22L=1L\frac{dT}{dL} = \frac{2}{2\sqrt L} = \frac{1}{\sqrt L}, dT=dLL=0.010.9=190dT = \frac{dL}{\sqrt L} = \frac{0.01}{0.9} = \frac{1}{90} s, about 0.0110.011 s. On the figure this is the rise of the orange tangent, of slope 10.9\frac{1}{0.9}, over a step of 0.010.01 along the axis. The relative error is dTT=1/901.8=1162\frac{dT}{T} = \frac{1/90}{1.8} = \frac{1}{162}, about 0.6%0.6\%.

b) dTT=dL/L2L=dL2L\frac{dT}{T} = \frac{dL/\sqrt L}{2\sqrt L} = \frac{dL}{2L}. Check: dLL=0.010.81=181\frac{dL}{L} = \frac{0.01}{0.81} = \frac{1}{81}, and half of it is 1162\frac{1}{162}, as in a). This is the rule of Exercise 6 with k=12k = \frac{1}{2}: a square root HALVES the relative error, which is why the period is a forgiving quantity, and why the length can be measured with a tape.

c) T=18.010=1.8T = \frac{18.0}{10} = 1.8 s, and the timing error is shared by the ten periods: dT=0.210=0.02dT = \frac{0.2}{10} = 0.02 s. So dTT=0.021.8=190\frac{dT}{T} = \frac{0.02}{1.8} = \frac{1}{90}. Now g=4π2LT−2g = 4\pi^2 L T^{-2} with LL fixed: dgdT=−8π2LT−3\frac{dg}{dT} = -8\pi^2 L T^{-3} and dgg=−2dTT\frac{dg}{g} = -2\frac{dT}{T}, so the relative error on gg is 290=145\frac{2}{90} = \frac{1}{45}, about 2.2%2.2\%. The minus sign says that a period measured too long gives a gg too small; for a maximum error only the size matters. The exponent −2-2 doubles the relative error of the timing.

d) ln⁡g=ln⁡(4π2)+ln⁡L−2ln⁡T\ln g = \ln(4\pi^2) + \ln L - 2\ln T. Differentiating, as in logarithmic differentiation: dgg=dLL−2dTT\frac{dg}{g} = \frac{dL}{L} - 2\frac{dT}{T}. By the triangle inequality, ∣dgg∣≤∣dLL∣+2∣dTT∣\left|\frac{dg}{g}\right| \le \left|\frac{dL}{L}\right| + 2\left|\frac{dT}{T}\right|: in the worst case the two errors add up. Here 181+290=10810+18810=28810=14405\frac{1}{81} + \frac{2}{90} = \frac{10}{810} + \frac{18}{810} = \frac{28}{810} = \frac{14}{405}, about 0.0350.035, that is 3.5%3.5\%. Subtracting the two contributions, as the signed formula might tempt you to do, would assume the errors cancel, which nobody can guarantee.

e) The length contributes 181\frac{1}{81}, about 1.2%1.2\%, the timing 290\frac{2}{90}, about 2.2%2.2\%: the timing dominates, because its relative error is multiplied by 22. Timing 2020 oscillations with the same stopwatch error of 0.20.2 s gives dT=0.01dT = 0.01 s and dTT=1180\frac{dT}{T} = \frac{1}{180}, so the timing part falls to 2180=190\frac{2}{180} = \frac{1}{90}, about 1.1%1.1\%, and the worst case to 181+190\frac{1}{81} + \frac{1}{90}, about 2.3%2.3\%. The differential tells you where precision is bought cheaply before any new measurement is made.

Exercise 8: Five statements to correct

Each statement below was written by a student on a MATH 140 assignment, and each is false. Say what is wrong, give a short computation or counterexample, and write the correct statement.

  • a) The linearization of x\sqrt x at 44 is L(x)=2+14xL(x) = 2 + \frac{1}{4}x, so 4.1≈3.025\sqrt{4.1} \approx 3.025.
  • b) sin⁡x≈x\sin x \approx x for small xx, so sin⁡2∘≈2\sin 2^\circ \approx 2.
  • c) The radius of a sphere is known to within 1%1\%, so its volume is known to within 1%1\%.
  • d) A linear approximation is always an underestimate, because the tangent line lies below the curve.
  • e) dydy and Δy\Delta y are two names for the change in yy, so for y=x2y = x^2 at x=3x = 3 with dx=0.5dx = 0.5, dy=Δydy = \Delta y.

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  • a) False: L(x)=2+14(x−4)L(x) = 2 + \frac{1}{4}(x - 4), and 4.1≈2.025\sqrt{4.1} \approx 2.025.
  • b) False: 2∘=π902^\circ = \frac{\pi}{90} rad, so sin⁡2∘≈π90\sin 2^\circ \approx \frac{\pi}{90}, about 0.0350.035.
  • c) False: dVV=3drr\frac{dV}{V} = 3\frac{dr}{r}, so about 3%3\%.
  • d) False: x\sqrt x at 44 overestimates; the side is given by the sign of f′′f''.
  • e) False: dy=3dy = 3, Δy=3.25\Delta y = 3.25; Δy≈dy\Delta y \approx dy only.

a) The factor (x−a)(x - a) has been dropped. The line 2+14x2 + \frac{1}{4}x has the slope of the tangent but passes through (4,3)(4, 3), not (4,2)(4, 2): it is not tangent to anything. The value 3.0253.025 should have raised an alarm, since 3.0252>93.025^2 > 9 while 4.1<94.1 < 9. Correct statement: L(x)=2+14(x−4)L(x) = 2 + \frac{1}{4}(x - 4), so 4.1≈2+0.14=2.025\sqrt{4.1} \approx 2 + \frac{0.1}{4} = 2.025. A quick test catches the error on any linearization: L(a)L(a) must equal f(a)f(a).

b) The rule sin⁡x≈x\sin x \approx x comes from (sin⁡x)′=cos⁡x(\sin x)' = \cos x, which is true only when xx is in radians. 2∘=2⋅π180=π902^\circ = 2 \cdot \frac{\pi}{180} = \frac{\pi}{90} rad, so sin⁡2∘≈π90\sin 2^\circ \approx \frac{\pi}{90}, about 0.0350.035 with π≈3.14\pi \approx 3.14. The answer 22 is impossible anyway, since ∣sin⁡x∣≤1|\sin x| \le 1. Correct statement: for xx in RADIANS close to 00, sin⁡x≈x\sin x \approx x; convert the angle before linearizing.

c) V=43πr3V = \frac{4}{3}\pi r^3 gives dVV=3drr\frac{dV}{V} = 3\frac{dr}{r}, so a 1%1\% error on the radius becomes about 3%3\% on the volume. Example: r=10r = 10, dr=0.1dr = 0.1: dV=4π(100)(0.1)=40πdV = 4\pi(100)(0.1) = 40\pi, and 40π4000π/3=3100\frac{40\pi}{4000\pi/3} = \frac{3}{100}. Correct statement: the relative error of xkx^k is ∣k∣|k| times that of xx; errors are amplified by the exponent, never simply carried over.

d) The tangent is below the curve only where the curve is concave up. For x\sqrt x at 44, f′′<0f'' < 0, the tangent is above, and L(4.1)=2.025>4.1L(4.1) = 2.025 > \sqrt{4.1} is an overestimate, since 2.0252=4.100625>4.12.025^2 = 4.100625 > 4.1. At an inflection point, such as sin⁡x\sin x at 00, the tangent even crosses the curve and the side changes. Correct statement: LL underestimates where f′′>0f'' > 0 and overestimates where f′′<0f'' < 0, on the interval between aa and xx.

e) dy=f′(x) dx=2(3)(0.5)=3dy = f'(x)\,dx = 2(3)(0.5) = 3 is the rise along the tangent, while Δy=3.52−32=12.25−9=3.25\Delta y = 3.5^2 - 3^2 = 12.25 - 9 = 3.25 is the rise along the curve. They differ by (dx)2=0.25(dx)^2 = 0.25. Correct statement: dydy is the linear estimate of Δy\Delta y, and Δy−dy\Delta y - dy is small compared with dxdx when dxdx is small; the two are equal only for a linear function.

Exercise 9: Painting a cube: how much paint is a differential

A wooden cube of side s=20s = 20 cm receives a coat of paint of thickness t=0.05t = 0.05 cm on each of its six faces. The volume of paint used is the increase of volume of the painted block, and it is exactly the kind of small increment that a differential estimates. The figure shows a cross-section, with the coat drawn far thicker than it is.

No calculator: every volume in cm3^3, exact or as a short decimal.

cube, side s = 20 cm(cross-section)coat of thickness t on every face
  • a) By how much does the side of the block increase? Be careful with the figure.
  • b) Use a differential to estimate the volume of paint.
  • c) Show that the differential is the total area of the faces times the thickness tt, and explain why.
  • d) Compute the exact increase of volume ΔV\Delta V. What does the difference ΔV−dV\Delta V - dV represent on the block, and what is its relative size?
  • e) The side itself was measured as 2020 cm to within 0.20.2 cm. Estimate the relative error on the volume of the cube, and on the amount of paint, which is proportional to s2s^2.

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  • a) ds=2t=0.1ds = 2t = 0.1 cm, not 0.050.05
  • b) dV=3s2 ds=120dV = 3s^2\,ds = 120 cm3^3
  • c) 3s2⋅2t=6s2t=6(400)(0.05)=1203s^2 \cdot 2t = 6s^2 t = 6(400)(0.05) = 120
  • d) ΔV=20.13−203=120.601\Delta V = 20.1^3 - 20^3 = 120.601 cm3^3; the gap 0.6010.601 is the edges and corners, about 0.5%0.5\%.
  • e) 1%1\% on ss: about 3%3\% on the volume, 2%2\% on the paint

a) The coat covers two opposite faces in each direction, so each dimension grows by tt on one side and tt on the other: ds=2t=0.1ds = 2t = 0.1 cm, and the painted block has side 20.120.1 cm. The cross-section shows it: the dashed square sticks out on the left AND on the right. Taking ds=0.05ds = 0.05 halves the answer, and it is the error that costs the most marks on this problem.

b) V=s3V = s^3, so dV=3s2 ds=3(400)(0.1)=120dV = 3s^2\,ds = 3(400)(0.1) = 120 cm3^3 of paint. The derivative 3s23s^2 is evaluated at the INITIAL side 2020, where everything is known exactly; the increment ds=0.1ds = 0.1 is small compared with 2020, which is what licenses the approximation.

c) dV=3s2 ds=3s2(2t)=6s2tdV = 3s^2\,ds = 3s^2(2t) = 6s^2 t, and 6s26s^2 is the total area of the six faces: 6(400)(0.05)=1206(400)(0.05) = 120, the same number. The paint forms a thin layer of thickness tt over the whole surface, and a thin layer has volume area times thickness. The differential of a volume is a surface times a thickness, as for the shell of the sphere in Exercise 6: that is the geometric meaning of dVdV.

d) ΔV=20.13−203=8120.601−8000=120.601\Delta V = 20.1^3 - 20^3 = 8120.601 - 8000 = 120.601 cm3^3. The exact expansion is ΔV=3s2 ds+3s(ds)2+(ds)3=120+0.6+0.001\Delta V = 3s^2\,ds + 3s(ds)^2 + (ds)^3 = 120 + 0.6 + 0.001. The term 6s2t6s^2 t counts the six slabs over the faces; the 0.60.6 fills the twelve edges, twelve rods of length 2020 and cross-section 0.05×0.050.05 \times 0.05, that is 12×20×0.0025=0.612 \times 20 \times 0.0025 = 0.6; and the 0.0010.001 is the eight tiny corner cubes, 8×0.0538 \times 0.05^3. The differential ignores edges and corners, an error of 0.601120.601\frac{0.601}{120.601}, about 0.5%0.5\%.

e) The relative error on the side is 0.220=1%\frac{0.2}{20} = 1\%. For V=s3V = s^3, dVV=3dss\frac{dV}{V} = 3\frac{ds}{s}, about 3%3\%: a volume of 8000±2408000 \pm 240 cm3^3. The paint, proportional to the area 6s26s^2, carries d(6s2)6s2=2dss\frac{d(6s^2)}{6s^2} = 2\frac{ds}{s}, about 2%2\%: 120±2.4120 \pm 2.4 cm3^3. The exponent does all the work: the cube triples the relative error, the area doubles it.

Exercise 10: A final exam question: trapping the square root of 26 between a tangent and a chord

A tangent line gives one side of an estimate. On a concave down curve, a CHORD gives the other: the graph lies below each of its tangents and above each of its chords. You may use these two facts about concavity without proof.

The goal is to trap 26\sqrt{26} in an interval of width less than 0.010.01, without a calculator and without any formula beyond the tangent line.

  • a) Using the linearization of f(x)=xf(x) = \sqrt x at a=25a = 25, approximate 26\sqrt{26}, and justify that the value is too large.
  • b) Write the equation of the chord of ff joining (25,5)(25, 5) and (36,6)(36, 6), evaluate it at x=26x = 26, and deduce a lower bound for 26\sqrt{26}.
  • c) Write the interval that contains 26\sqrt{26}, give its width, and confirm both bounds by squaring them.
  • d) A student linearizes at a=36a = 36 instead. What value does she get, and why is it worse?
  • e) Without any new approximation, deduce intervals that contain 104\sqrt{104} and 0.26\sqrt{0.26}.

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  • a) L(x)=5+110(x−25)L(x) = 5 + \frac{1}{10}(x - 25), 26≈5.1\sqrt{26} \approx 5.1, too large since f′′<0f'' < 0
  • b) y=5+111(x−25)y = 5 + \frac{1}{11}(x - 25); 26>5611\sqrt{26} > \frac{56}{11}
  • c) 5611<26<5110\frac{56}{11} < \sqrt{26} < \frac{51}{10}, width 1110\frac{1}{110}; 3136121<26<26.01\frac{3136}{121} < 26 < 26.01
  • d) L36(26)=316L_{36}(26) = \frac{31}{6}, about 5.175.17: 2626 is 1010 units from 3636 but 11 from 2525.
  • e) 11211<104<515\frac{112}{11} < \sqrt{104} < \frac{51}{5}; 2855<0.26<51100\frac{28}{55} < \sqrt{0.26} < \frac{51}{100}

a) f′(x)=12xf'(x) = \frac{1}{2\sqrt x}, so f(25)=5f(25) = 5 and f′(25)=110f'(25) = \frac{1}{10}: L(x)=5+110(x−25)L(x) = 5 + \frac{1}{10}(x - 25) and 26≈L(26)=5.1=5110\sqrt{26} \approx L(26) = 5.1 = \frac{51}{10}. Since f′′(x)=−14x−3/2<0f''(x) = -\frac{1}{4}x^{-3/2} < 0, the graph lies below its tangent, so 26<5110\sqrt{26} < \frac{51}{10}. Centre, factor (x−25)(x - 25), side: the three marks of the question.

b) The chord through (25,5)(25, 5) and (36,6)(36, 6) has slope 6−536−25=111\frac{6 - 5}{36 - 25} = \frac{1}{11}, so its equation is y=5+111(x−25)y = 5 + \frac{1}{11}(x - 25). At x=26x = 26 it gives 5+111=56115 + \frac{1}{11} = \frac{56}{11}. On [25,36][25, 36] the concave down curve lies above its chord, and 2626 is in that interval, so 26>5611\sqrt{26} > \frac{56}{11}. The two perfect squares around 2626 supply the chord, exactly as the nearest one supplies the tangent.

c) 5611<26<5110\frac{56}{11} < \sqrt{26} < \frac{51}{10}. The width is 5110−5611=561−560110=1110\frac{51}{10} - \frac{56}{11} = \frac{561 - 560}{110} = \frac{1}{110}, less than 0.010.01 as required. Check by squaring, in exact arithmetic: (5110)2=2601100=26.01>26\left(\frac{51}{10}\right)^2 = \frac{2601}{100} = 26.01 > 26, and (5611)2=3136121\left(\frac{56}{11}\right)^2 = \frac{3136}{121}, while 26=314612126 = \frac{3146}{121}, so (5611)2<26\left(\frac{56}{11}\right)^2 < 26. Both bounds are confirmed. The solution figure shows the arrangement: tangent above, chord below, the curve between them at x=26x = 26.

d) L36(x)=6+112(x−36)L_{36}(x) = 6 + \frac{1}{12}(x - 36) gives L36(26)=6−1012=316L_{36}(26) = 6 - \frac{10}{12} = \frac{31}{6}, about 5.175.17, whose square 96136\frac{961}{36} is about 26.726.7. It is still an overestimate, the concavity has not changed, but it is about 0.070.07 too large instead of about 0.0010.001. The tangent at 3636 is used ten units from its point of contact, the tangent at 2525 one unit away: the centre is chosen for its DISTANCE to the target, not only because it is a perfect square.

e) 104=4×26=226\sqrt{104} = \sqrt{4 \times 26} = 2\sqrt{26}, so multiplying the interval by 22: 11211<104<515\frac{112}{11} < \sqrt{104} < \frac{51}{5}. And 0.26=2610\sqrt{0.26} = \frac{\sqrt{26}}{10}, so 56110=2855<0.26<51100\frac{56}{110} = \frac{28}{55} < \sqrt{0.26} < \frac{51}{100}. An estimate with guaranteed bounds travels through exact algebra with its bounds; no new tangent is needed, and linearizing x\sqrt x at 0.250.25 would only redo the same work.

2425262728293031324.955.15.25.35.45.55.65.7tangent at 25: abovechord toward (36, 6): belowy = √xx = 26

© Ahmed Squalli Houssaini. Exercise set published at www.letuteurscientifique.ca/en/exercices/math140-linear-approximation. Free for personal and classroom use; republishing it elsewhere requires written permission (legal notice).

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