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)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 f and f′ are known exactly, with angles in radians; the factor (x−a) in L(x)=f(a)+f′(a)(x−a); and the side of the error, read on the sign of f′′. The differential is the same line, read as an increment.
The traps named in the solutions: dropping the factor (x−a), centring at a point where f′ does not exist or far from the target, applying sinx≈x in degrees, announcing an underestimate without looking at f′′, forgetting that the side changes at an inflection point, confusing dy with Δy, carrying the relative error of r unchanged to r3, and counting the thickness of a coat once when it adds on both sides.
Self-checking setType your answers under each 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.
•Linearization of f at a: L(x)=f(a)+f′(a)(x−a), and f(x)≈L(x) for x near a. It is exact at x=a.
•Side of the error: f′′<0 between a and x gives an overestimate, f′′>0 an underestimate; at an inflection point the side changes.
•Near 0, x in radians: ex≈1+x, ln(1+x)≈x, sinx≈x, tanx≈x, (1+x)k≈1+kx.
•Differentials: dy=f′(x)dx is the rise along the tangent, Δy=f(x+dx)−f(x) the rise along the curve, and Δy≈dy.
•Propagated error: dy=f′(x)dx; relative error ydy; for y=Cxk, ydy=kxdx.
•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 f at a is the tangent line at (a,f(a)) written as a function: L(x)=f(a)+f′(a)(x−a). For x near a, f(x)≈L(x). The approximation is EXACT at x=a and wrong everywhere else, so an approximation is only complete with its centre, its formula with the factor (x−a), and the side of its error.
The side is read on the concavity: where f′′<0 the curve bends below its tangent and L OVERESTIMATES f; where f′′>0 it bends above and L underestimates. The figure shows y=x and its tangent at (4,2). No calculator.
a) Find the linearization L of f(x)=x at a=4.
b) Use it to approximate 4.1 and 3.96, as exact decimals.
c) Show with f′′ that both values are overestimates, then confirm it by squaring them.
d) Why is a=4 the right centre? What goes wrong with a=0, and with a=1, to approximate 4.1?
e) Use the same L to approximate 5. By squaring 2.23 and 2.24, compare the size of the error with the one made on 4.1.
Show the solution
Answers
a)L(x)=2+41(x−4)
b)4.1≈2.025, 3.96≈1.99
c)f′′(x)=−41x−3/2<0: overestimates; 2.0252=4.100625>4.1 and 1.992=3.9601>3.96
d)4 is the nearest point where f and f′ are exact; f′(0) does not exist; a=1 gives 2.55, far off.
e)5≈2.25; 2.23<5<2.24, error between 0.01 and 0.02, against less than 0.001 for 4.1.
a) f(x)=x1/2, so f′(x)=21x−1/2=2x1 by the power rule. At a=4: f(4)=2 and f′(4)=2⋅21=41. Hence L(x)=2+41(x−4). Check against the figure: the orange line passes through (4,2) and rises by 1 when x goes from 4 to 8, a slope of 41; it also meets the vertical axis at L(0)=1, as drawn. Write the factor (x−4), not x: the line 2+41x has the right slope but passes through (4,3), and it is the most frequent lost mark of the chapter.
b) 4.1≈L(4.1)=2+41(0.1)=2+0.025=2.025. And 3.96≈L(3.96)=2+41(−0.04)=2−0.01=1.99. The only arithmetic is the product f′(a)(x−a), which is why the centre must make f′(a) a simple number. For x<a the increment x−a is negative, and forgetting its sign gives 2.01, a value on the wrong side of 2 although 3.96<4.
c) f′′(x)=−41x−3/2<0 for every x>0: f is concave down, so its graph lies below each of its tangent lines, as the figure shows on both sides of (4,2). Therefore L(x)≥x, and both estimates are too large. Confirmation by squaring, which is exact arithmetic: 2.0252=4.100625>4.1, so 2.025>4.1; and 1.992=3.9601>3.96, so 1.99>3.96. Squaring the estimate is the cheapest check of the chapter, and it must agree with the side predicted by f′′.
d) The centre must be a point NEAR the target where f(a) and f′(a) are known exactly: 4 is the perfect square next to 4.1, and f′(4)=41 is a clean fraction. At a=0, f′(0)=201 does not exist: the tangent at the origin is vertical and there is no linearization. At a=1, L1(x)=1+21(x−1) gives L1(4.1)=1+1.55=2.55, while 4.1 is barely above 2: an error of more than 0.5, because 4.1 is far from 1 and the curve has bent a lot in between.
e) L(5)=2+41=2.25. Now 2.232=4.9729<5 and 2.242=5.0176>5, so 2.23<5<2.24 and the error 2.25−5 lies between 0.01 and 0.02. For 4.1: 2.0242=4.096576<4.1, so 2.024<4.1<2.025 and the error is below 0.001. The distance to the centre went from 0.1 to 1, 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 x moves away from a.
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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 1. Each time, name f and a, compute f(a) and f′(a) exactly, write L with its factor (x−a), and decide the side of the error.
The figure shows y=x1 and its tangent at (1,1). No calculator: give fractions or short exact decimals.
a) Find the linearization of f(x)=3x at a=8, and use it to approximate 37.9 as a fraction and 38.24 as a decimal.
b) Find the linearization of g(x)=x1 at a=1, and approximate 0.981 and 1.051.
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 0.981=4950, compute the exact error of the estimate of b).
e) Using only the figure, explain why the tangent of g is useless to approximate 21, and what that says about where L can be trusted.
Show the solution
Answers
a)L(x)=2+121(x−8); 37.9≈120239, 38.24≈2.02
b)L(x)=2−x; 0.981≈1.02, 1.051≈0.95
c)Cube root: f′′<0, both too large; reciprocal: g′′>0 for x>0, both too small.
d)4950−1.02=24501
e)L(2)=0 while 21=0.5: the tangent is only reliable close to x=1.
a) f(x)=x1/3, so f′(x)=31x−2/3=33x21. At a=8, the perfect cube next to both targets: f(8)=2 and f′(8)=3⋅41=121. So L(x)=2+121(x−8). Then 37.9≈2+121(−0.1)=2−1201=120239, and 38.24≈2+120.24=2+0.02=2.02. The value f′(8)=121 is the whole reason for choosing 8: 382=4 is exact.
b) g(x)=x−1, g′(x)=−x−2, so g(1)=1 and g′(1)=−1: L(x)=1−(x−1)=2−x, the orange line of the figure. Hence 0.981≈2−0.98=1.02 and 1.051≈2−1.05=0.95. The rule a student remembers, 1+h1≈1−h, is exactly this linearization with x=1+h.
c) f′′(x)=−92x−5/3<0 for x>0: the cube root is concave down there, its tangent lies above, and both estimates are too large. Check: (120239)3=172800013651919 while 7.9=172800013651200, so 120239>37.9; and 2.023=8.242408>8.24. For the reciprocal, g′′(x)=x32>0 for x>0: concave up, tangent below, both estimates too small, which is what the figure shows on both sides of (1,1). Check: 1.02×0.98=0.9996<1, so 1.02<0.981; and 0.95×1.05=0.9975<1, so 0.95<1.051. The side does not depend on whether x is left or right of a, as long as the concavity keeps its sign between them.
d) 4950−1.02=4950−5051=24502500−2499=24501, positive as predicted in c), and about 0.0004. An error of that size for a distance 0.02 to the centre is typical: it is roughly the square of the distance, which is why a linear approximation is excellent very close to a and nowhere else.
e) On the figure the orange line reaches the horizontal axis at x=2: L(2)=0, while g(2)=21. The estimate is not slightly wrong, it is meaningless, since a positive number is approximated by 0. 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 L, look at the distance ∣x−a∣ compared with the scale on which f changes.
Exercise 3: The small-x rules: linearizing at 0, and at 1 when 0 is the wrong centre
Linearized at 0, the standard functions give the approximations used everywhere in science for small x: ex≈1+x, ln(1+x)≈x, sinx≈x, tanx≈x, (1+x)k≈1+kx. Each is a tangent line, each is valid only for x close to 0, with x in RADIANS for the trigonometric ones, and each has a side.
The figure shows y=ln(1+x) and its tangent y=x at the origin.
a) Derive the five rules above as linearizations at a=0.
b) Approximate e−0.03, ln1.02 and sin0.01, and give the side of each error.
c) Approximate 1.06 and 1.0131 with (1+x)k≈1+kx, with the side of each error and an exact check.
d) Approximate arctan1.02. Why is a=0 the wrong centre here? Give the side of the error.
e) A student uses ln(1+x)≈x to write ln2≈1 and ln0.5≈−0.5. Compare with ln2≈0.69 and explain.
d)arctan1.02≈4π+0.01, too large; 1.02 is near 1, not near 0.
e)ln2≈0.69, not 1; ln0.5≈−0.69, not −0.5: x=±1 and x=−0.5 are not small.
a) Each time L(x)=f(0)+f′(0)x. For ex: f(0)=1, f′(0)=e0=1, so L=1+x. For ln(1+x): f(0)=0, f′(x)=1+x1 by the chain rule with inner function 1+x, f′(0)=1, so L=x. For sinx: f(0)=0, f′(0)=cos0=1, so L=x. For tanx: f(0)=0, f′(0)=sec20=1, so L=x. For (1+x)k: f(0)=1, f′(x)=k(1+x)k−1, f′(0)=k, so L=1+kx. The derivatives of sin and tan are cos and sec2 only in radians; in degrees every one of these rules is false.
b) e−0.03≈1−0.03=0.97; (ex)′′=ex>0, the curve lies above its tangent, so 0.97 is too small. ln1.02=ln(1+0.02)≈0.02; (ln(1+x))′′=−(1+x)21<0, the curve lies below its tangent, as the figure shows on both sides of 0, so 0.02 is too large. sin0.01≈0.01; (sinx)′′=−sinx<0 on (0,π), so on the right of 0 the curve lies below the tangent and 0.01 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+21(0.06)=1.03. The second derivative of (1+x)1/2 is −41(1+x)−3/2<0, so 1.03 is too large; indeed 1.032=1.0609>1.06. Next, 1.0131=(1+0.01)−3≈1−3(0.01)=0.97. The second derivative of (1+x)−3 is 12(1+x)−5>0 near 0, so 0.97 is too small; indeed 0.97×1.013=0.97×1.030301=0.99939197<1. The exponent k goes in front of x WITH its sign: 1+3(0.01) would put the estimate above 1, although 1.013>1 makes the quotient smaller than 1.
d) 1.02 is not small: arctanx≈x would give 1.02, a tangent at 0 used at distance 1.02. The right centre is a=1, where arctan1=4π is exact and (arctanx)′=1+x21 gives 21. So L(x)=4π+21(x−1) and arctan1.02≈4π+0.01, about 0.795 with π≈3.14, far from 1.02. The second derivative is −(1+x2)22x<0 for x>0: the estimate is too large. The answer stays exact, 4π+0.01; the decimal is only an order of magnitude.
e) On the figure the line y=x and the curve y=ln(1+x) separate quickly: at x=1 the line is at 1 and the curve at ln2≈0.69, an error of about 0.31, a third of the value. At x=−0.5, the line gives −0.5 and the curve ln0.5=−ln2≈−0.69. The rule ln(1+x)≈x is a statement about SMALL x, like 0.02 in b), where the error is about 0.0002. A small-x rule used at x=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), the differential dx is an independent increment and dy=f′(x)dx. On the graph, dy is the rise ALONG THE TANGENT when x moves by dx, while Δy=f(x+dx)−f(x) is the rise along the CURVE. Linear approximation is the statement Δy≈dy.
The figure shows y=x3 near P(2,8) with a deliberately large dx=0.5: R is at the height of P, T is on the tangent at P and Q on the curve, all three at x=2.5.
a) Find dy for y=x3. With x=2 and dx=0.5, compute dy and Δy, and say which segments of the figure they are.
b) Compute dy and Δy at x=2 for dx=0.1, then for dx=0.01.
c) Show that Δy−dy=3x(dx)2+(dx)3, and explain why the ratio dxΔy−dy tends to 0 as dx→0.
d) For y=x2+9, compute dy at x=4 with dx=−0.2. Using 4.842=23.4256, decide whether Δy is larger or smaller than dy.
e) A square has side s. Show that when the side grows by ds, dA=2sds while ΔA=2sds+(ds)2, and describe the two pieces geometrically.
d)dy=−0.16; Δy>−0.16 (it lies between −0.16 and −0.158)
e)dA: two strips s×ds; ΔA adds the corner square (ds)2.
a) dxdy=3x2, so dy=3x2dx. At x=2 with dx=0.5: dy=12×0.5=6. And Δy=2.53−23=15.625−8=7.625. On the figure, R(2.5,8) is level with P, the tangent at P has equation y=8+12(x−2) and reaches T(2.5,14), and the curve reaches Q(2.5,15.625). So dy is the segment RT, of length 6, and Δy is the segment RQ, of length 7.625. The gap TQ=1.625 is the error of the linear approximation, large here only because dx was chosen large to be visible.
b) For dx=0.1: dy=12×0.1=1.2 and Δy=2.13−8=9.261−8=1.261, a gap of 0.061. For dx=0.01: dy=0.12 and Δy=2.013−8=8.120601−8=0.120601, a gap of 0.000601. When dx is divided by 10, dy is divided by 10, but the gap is divided by about 100: relative to dy, the error of the tangent shrinks. This is the whole content of the approximation Δy≈dy.
c) (x+dx)3=x3+3x2dx+3x(dx)2+(dx)3, so Δy=3x2dx+3x(dx)2+(dx)3 and Δy−dy=3x(dx)2+(dx)3. At x=2: 6(0.1)2+(0.1)3=0.06+0.001=0.061, as found in b). Dividing by dx: dxΔy−dy=3xdx+(dx)2→0 as dx→0. The error is not only small, it is small COMPARED WITH dx; that is what makes the tangent the best line through P, since any other line through P leaves an error of the same order as dx.
d) dxdy=x2+9x by the chain rule with inner function x2+9. At x=4: 25=5, so dy=54(−0.2)=−0.16. The exact change is Δy=3.82+9−5=23.44−5. Since 4.842=23.4256<23.44, 23.44>4.84 and Δy>4.84−5=−0.16=dy; and 4.8422=23.444964>23.44 gives Δy<−0.158. The function decreases less than the tangent predicts: the curve is concave up, the tangent lies below it, and with dx<0 that means dy is the more negative of the two. A negative dx gives a negative dy here; dropping the sign of dx is the common slip.
e) A=s2 gives dA=2sds, while ΔA=(s+ds)2−s2=2sds+(ds)2. Geometrically, enlarge the square by ds to the right and upwards: the added region is two strips of size s×ds along two sides, total 2sds, plus a small corner square ds×ds. The differential keeps the two strips and drops the corner, whose area (ds)2 is negligible compared with ds when ds is small. The same picture, with a cube and its three slabs, explains dV=3s2ds.
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 a and x: if f′′<0 there, the tangent lies above the curve and L overestimates; if f′′>0, it lies below and L underestimates. You may need nothing else: often f is not even known, only its value, its derivative and the sign of f′′.
At an INFLECTION point the concavity changes sign, and so does the side. The figure shows y=sinx with its tangent y=x at the origin and its tangent y=1 at (2π,1).
a) f(1)=2, f′(1)=3 and f′′(x)<0 for all x. Estimate f(1.2) and f(0.9), and say whether each estimate is too large or too small.
b) g(2)=5, g′(2)=−1 and g′′(x)>0 for all x. Estimate g(1.9) and g(2.3), with the side.
c) A function h is known only through h(2)=3 and h′(x)=x2+5. Estimate h(2.1) and h(1.9), with the side.
d) On the figure, which side is the tangent y=x of sinx on, for x>0 and for x<0? Deduce the side of sin0.01≈0.01 and of sin(−0.01)≈−0.01. Same questions for y=1 near 2π.
e) A student writes: the linear approximation of x3 at a=1 always underestimates. Is it true for x=1.1, x=0.9, and x=−3? Conclude.
Show the solution
Answers
a)f(1.2)≈2.6, f(0.9)≈1.7: both too large
b)g(1.9)≈5.1, g(2.3)≈4.7: both too small
c)h(2.1)≈3.3, h(1.9)≈2.7: both too small (h′′=x2+5x>0)
d)y=x is above sinx for x>0, below for x<0: 0.01 too large, −0.01 too small; y=1 is above on both sides.
e)True at 1.1 (1.3<1.331) and 0.9 (0.7<0.729); false at −3 (L(−3)=−11>−27). Concavity guarantees the side only where f′′=6x>0.
a) L(x)=f(1)+f′(1)(x−1)=2+3(x−1). So f(1.2)≈2+0.6=2.6 and f(0.9)≈2−0.3=1.7. Since f′′<0 everywhere, the graph of f 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 x passes from the right to the left of a; it is the concavity that decides, not the direction of the step.
b) L(x)=5−(x−2). So g(1.9)≈5+0.1=5.1 and g(2.3)≈5−0.3=4.7. Since g′′>0, the graph lies above its tangents: both values are underestimates. Note the minus sign of g′(2): to the left of 2 the function is larger than 5, to the right smaller, and the tangent reproduces that before the concavity tells us by how much it misses.
c) h′(2)=4+5=3, so L(x)=3+3(x−2), h(2.1)≈3.3 and h(1.9)≈2.7. The formula for h is not needed: differentiate h′ by the chain rule, h′′(x)=2x2+52x=x2+5x, which is positive for x>0, so in particular on [1.9,2.1]. The graph of h 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) (sinx)′′=−sinx, negative on (0,π) and positive on (−π,0): 0 is an inflection point. On the figure the line y=x is above the curve for x>0 and below for x<0: the tangent CROSSES the curve at an inflection point. So sin0.01≈0.01 is too large, and sin(−0.01)≈−0.01 is too small, since sin(−0.01)=−sin0.01>−0.01. Near 2π, sin is concave down on both sides, and the horizontal tangent y=1 lies above the curve on both sides: sin(2π±0.1)≈1 is too large either way, which is obvious since sin≤1.
e) L(x)=1+3(x−1)=3x−2 and f′′(x)=6x. At x=1.1: L=1.3 and 1.13=1.331, too small. At x=0.9: L=0.7 and 0.93=0.729, too small. Both agree with f′′>0 on the interval between 1 and x. At x=−3: L(−3)=−11 while (−3)3=−27, so the estimate is now too LARGE. The claim is false, and the reason is the inflection point at 0: between −3 and 1 the concavity changes sign, the tangent crosses the curve, and nothing guaranteed the side. The factorization x3−(3x−2)=(x−1)2(x+2) shows exactly where the estimate is too small, for x>−2; the concavity argument, which is the one expected, covers x>0. A side claimed without the interval on which f′′ keeps its sign is not justified, and −3 is in any case far too far from 1 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 x comes with a maximum error dx. A quantity computed from it, y=f(x), then carries the PROPAGATED error dy=f′(x)dx, the linear estimate of Δy. The relative error is ydy, and the percentage error is 100ydy. Exact answers are expected, in terms of π where it appears.
The radius of a steel ball is measured as 10 cm, with a maximum error of 0.05 cm. The figure shows a cross-section, with the shell of thickness dr drawn much thicker than it is.
a) Use differentials to estimate the maximum error in the computed volume V=34πr3.
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=4πr2.
d) Show that for any quantity y=Cxk, the relative error of y is ∣k∣ times the relative error of x. Explain the figure: why is dV close to the volume of the shell?
e) What maximum error on the radius would keep the error on the volume below 3%? And what is the exact ΔV for dr=0.05, compared with dV?
Show the solution
Answers
a)dV=4πr2dr=20π cm3
b)VdV=2003=1.5%, three times the 0.5% of the radius
c)dS=8πrdr=4π cm2, SdS=1%
d)ydy=kxdx; dV=Sdr is the area of the sphere times the thickness of the shell.
e)rdr≤1%, so dr≤0.1 cm; ΔV=34π(15.075125)=20.100…π cm3
a) drdV=4πr2, so dV=4πr2dr. With r=10 and dr=0.05: dV=4π(100)(0.05)=20π cm3, about 63 cm3 with π≈3.14. This is the maximum error of the computed volume, to first order: a radius read anywhere between 9.95 and 10.05 gives a volume within about 20π of 34000π. Give 20π, not a machine decimal: the exact form is the answer, the decimal an order of magnitude.
b) V=34π(1000)=34000π, so VdV=4000π/320π=400060=2003=0.015, that is 1.5%. The radius itself has relative error 100.05=0.005=0.5%. The volume is three times less precise than the radius: the cube in the formula multiplies the relative error by 3. Answering 0.5% for the volume, because the radius is known to 0.5%, is the classic mistake.
c) dS=8πrdr=8π(10)(0.05)=4π cm2, and S=400π, so SdS=400π4π=0.01=1%, twice the relative error of the radius, because of the square. Faster: SdS=4πr28πrdr=2rdr, with no number at all.
d) If y=Cxk, then dy=Ckxk−1dx and ydy=CxkCkxk−1dx=kxdx, so ydy=∣k∣xdx: the constant C, here 34π or 4π, 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×dr, which is exactly dV=Sdr. 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 3rdr≤0.03, that is rdr≤0.01, so dr≤0.01×10=0.1 cm. The exact change is ΔV=34π(10.053−103)=34π(1015.075125−1000)=34π(15.075125)=20.100166…π cm3, against dV=20π: the differential misses by about 0.1π, one two-hundredth of its value. For an error of measurement, which is itself only known to one significant figure, dV 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 L is T=2πgL. For this exercise take g=π2 m/s2 (about 9.87, close to the true value), so that T=2L with L in metres and T in seconds. The figure shows T as a function of L and the tangent at L=0.81 m.
In a laboratory, the pendulum is used the other way round: L and T are measured, and g=T24π2L is computed. Every error is a maximum error, estimated with differentials.
a) For L=0.81 m, compute T. If L is known to within 0.01 m, estimate the error on T with dT, then give the relative error.
b) Show that TdT=21LdL in general, and check it on a).
c) Ten full oscillations are timed at 18.0 s, to within 0.2 s. Find T and its maximum error, then the relative error this causes on g, L being assumed exact.
d) Taking ln of g=T24π2L and differentiating, show that gdg≤LdL+2TdT, and give the worst-case relative error on g with both errors of a) and c).
e) Which measurement is worth improving first? What does timing 20 oscillations instead of 10 change?
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Answers
a)T=1.8 s; dT=901 s, about 0.011 s; TdT=1621, about 0.6%
b)dT=LdL, so TdT=2LdL; 21⋅811=1621
c)T=1.8±0.02 s, TdT=901; gdg=2TdT=451, about 2.2%
d)811+902=81028, about 3.5%
e)The timing: it weighs double. With 20 oscillations, TdT=1801 and the timing part drops to 1.1%.
a) T=20.81=2(0.9)=1.8 s. Since dLdT=2L2=L1, dT=LdL=0.90.01=901 s, about 0.011 s. On the figure this is the rise of the orange tangent, of slope 0.91, over a step of 0.01 along the axis. The relative error is TdT=1.81/90=1621, about 0.6%.
b) TdT=2LdL/L=2LdL. Check: LdL=0.810.01=811, and half of it is 1621, as in a). This is the rule of Exercise 6 with k=21: 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=1018.0=1.8 s, and the timing error is shared by the ten periods: dT=100.2=0.02 s. So TdT=1.80.02=901. Now g=4π2LT−2 with L fixed: dTdg=−8π2LT−3 and gdg=−2TdT, so the relative error on g is 902=451, about 2.2%. The minus sign says that a period measured too long gives a g too small; for a maximum error only the size matters. The exponent −2 doubles the relative error of the timing.
d) lng=ln(4π2)+lnL−2lnT. Differentiating, as in logarithmic differentiation: gdg=LdL−2TdT. By the triangle inequality, gdg≤LdL+2TdT: in the worst case the two errors add up. Here 811+902=81010+81018=81028=40514, about 0.035, that is 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 811, about 1.2%, the timing 902, about 2.2%: the timing dominates, because its relative error is multiplied by 2. Timing 20 oscillations with the same stopwatch error of 0.2 s gives dT=0.01 s and TdT=1801, so the timing part falls to 1802=901, about 1.1%, and the worst case to 811+901, about 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 at 4 is L(x)=2+41x, so 4.1≈3.025.
b) sinx≈x for small x, so sin2∘≈2.
c) The radius of a sphere is known to within 1%, so its volume is known to within 1%.
d) A linear approximation is always an underestimate, because the tangent line lies below the curve.
e) dy and Δy are two names for the change in y, so for y=x2 at x=3 with dx=0.5, dy=Δy.
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a)False: L(x)=2+41(x−4), and 4.1≈2.025.
b)False: 2∘=90π rad, so sin2∘≈90π, about 0.035.
c)False: VdV=3rdr, so about 3%.
d)False: x at 4 overestimates; the side is given by the sign of f′′.
e)False: dy=3, Δy=3.25; Δy≈dy only.
a) The factor (x−a) has been dropped. The line 2+41x has the slope of the tangent but passes through (4,3), not (4,2): it is not tangent to anything. The value 3.025 should have raised an alarm, since 3.0252>9 while 4.1<9. Correct statement: L(x)=2+41(x−4), so 4.1≈2+40.1=2.025. A quick test catches the error on any linearization: L(a) must equal f(a).
b) The rule sinx≈x comes from (sinx)′=cosx, which is true only when x is in radians. 2∘=2⋅180π=90π rad, so sin2∘≈90π, about 0.035 with π≈3.14. The answer 2 is impossible anyway, since ∣sinx∣≤1. Correct statement: for x in RADIANS close to 0, sinx≈x; convert the angle before linearizing.
c) V=34πr3 gives VdV=3rdr, so a 1% error on the radius becomes about 3% on the volume. Example: r=10, dr=0.1: dV=4π(100)(0.1)=40π, and 4000π/340π=1003. Correct statement: the relative error of xk is ∣k∣ times that of x; 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 at 4, f′′<0, the tangent is above, and L(4.1)=2.025>4.1 is an overestimate, since 2.0252=4.100625>4.1. At an inflection point, such as sinx at 0, the tangent even crosses the curve and the side changes. Correct statement: L underestimates where f′′>0 and overestimates where f′′<0, on the interval between a and x.
e) dy=f′(x)dx=2(3)(0.5)=3 is the rise along the tangent, while Δy=3.52−32=12.25−9=3.25 is the rise along the curve. They differ by (dx)2=0.25. Correct statement: dy is the linear estimate of Δy, and Δy−dy is small compared with dx when dx 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=20 cm receives a coat of paint of thickness t=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, exact or as a short decimal.
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 t, and explain why.
d) Compute the exact increase of volume ΔV. What does the difference ΔV−dV represent on the block, and what is its relative size?
e) The side itself was measured as 20 cm to within 0.2 cm. Estimate the relative error on the volume of the cube, and on the amount of paint, which is proportional to s2.
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Answers
a)ds=2t=0.1 cm, not 0.05
b)dV=3s2ds=120 cm3
c)3s2⋅2t=6s2t=6(400)(0.05)=120
d)ΔV=20.13−203=120.601 cm3; the gap 0.601 is the edges and corners, about 0.5%.
e)1% on s: about 3% on the volume, 2% on the paint
a) The coat covers two opposite faces in each direction, so each dimension grows by t on one side and t on the other: ds=2t=0.1 cm, and the painted block has side 20.1 cm. The cross-section shows it: the dashed square sticks out on the left AND on the right. Taking ds=0.05 halves the answer, and it is the error that costs the most marks on this problem.
b) V=s3, so dV=3s2ds=3(400)(0.1)=120 cm3 of paint. The derivative 3s2 is evaluated at the INITIAL side 20, where everything is known exactly; the increment ds=0.1 is small compared with 20, which is what licenses the approximation.
c) dV=3s2ds=3s2(2t)=6s2t, and 6s2 is the total area of the six faces: 6(400)(0.05)=120, the same number. The paint forms a thin layer of thickness t 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 dV.
d) ΔV=20.13−203=8120.601−8000=120.601 cm3. The exact expansion is ΔV=3s2ds+3s(ds)2+(ds)3=120+0.6+0.001. The term 6s2t counts the six slabs over the faces; the 0.6 fills the twelve edges, twelve rods of length 20 and cross-section 0.05×0.05, that is 12×20×0.0025=0.6; and the 0.001 is the eight tiny corner cubes, 8×0.053. The differential ignores edges and corners, an error of 120.6010.601, about 0.5%.
e) The relative error on the side is 200.2=1%. For V=s3, VdV=3sds, about 3%: a volume of 8000±240 cm3. The paint, proportional to the area 6s2, carries 6s2d(6s2)=2sds, about 2%: 120±2.4 cm3. 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 in an interval of width less than 0.01, without a calculator and without any formula beyond the tangent line.
a) Using the linearization of f(x)=x at a=25, approximate 26, and justify that the value is too large.
b) Write the equation of the chord of f joining (25,5) and (36,6), evaluate it at x=26, and deduce a lower bound for 26.
c) Write the interval that contains 26, give its width, and confirm both bounds by squaring them.
d) A student linearizes at a=36 instead. What value does she get, and why is it worse?
e) Without any new approximation, deduce intervals that contain 104 and 0.26.
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Answers
a)L(x)=5+101(x−25), 26≈5.1, too large since f′′<0
b)y=5+111(x−25); 26>1156
c)1156<26<1051, width 1101; 1213136<26<26.01
d)L36(26)=631, about 5.17: 26 is 10 units from 36 but 1 from 25.
e)11112<104<551; 5528<0.26<10051
a) f′(x)=2x1, so f(25)=5 and f′(25)=101: L(x)=5+101(x−25) and 26≈L(26)=5.1=1051. Since f′′(x)=−41x−3/2<0, the graph lies below its tangent, so 26<1051. Centre, factor (x−25), side: the three marks of the question.
b) The chord through (25,5) and (36,6) has slope 36−256−5=111, so its equation is y=5+111(x−25). At x=26 it gives 5+111=1156. On [25,36] the concave down curve lies above its chord, and 26 is in that interval, so 26>1156. The two perfect squares around 26 supply the chord, exactly as the nearest one supplies the tangent.
c) 1156<26<1051. The width is 1051−1156=110561−560=1101, less than 0.01 as required. Check by squaring, in exact arithmetic: (1051)2=1002601=26.01>26, and (1156)2=1213136, while 26=1213146, so (1156)2<26. Both bounds are confirmed. The solution figure shows the arrangement: tangent above, chord below, the curve between them at x=26.
d) L36(x)=6+121(x−36) gives L36(26)=6−1210=631, about 5.17, whose square 36961 is about 26.7. It is still an overestimate, the concavity has not changed, but it is about 0.07 too large instead of about 0.001. The tangent at 36 is used ten units from its point of contact, the tangent at 25 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, so multiplying the interval by 2: 11112<104<551. And 0.26=1026, so 11056=5528<0.26<10051. An estimate with guaranteed bounds travels through exact algebra with its bounds; no new tangent is needed, and linearizing x at 0.25 would only redo the same work.