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652 Additional Answers<br />

31. Maximum value is 11 at x 5;<br />

minimum value is 5 on the interval [3, 2];<br />

local maximum at (5, 9)<br />

32. Maximum value is 4 on the interval [5, 7];<br />

minimum value is 4 on the interval [2, 1].<br />

33. Maximum value is 5 on the interval [3, );<br />

minimum value is 5 on the interval (, 2].<br />

34. Minimum value is 4 on the interval [1, 3].<br />

35. crit. pt. derivative extremum value<br />

x 4 5 0 local max 1 2<br />

10 1/3 1.034<br />

25<br />

x 0 undefined local min 0<br />

36.<br />

crit. pt. derivative extremum value<br />

x 1 0 minimum 3<br />

x 0 undefined local max 0<br />

x 1 0 minimum 3<br />

37.<br />

crit. pt. derivative extremum value<br />

x 2 undefined local max 0<br />

x 2 0 minimum 2<br />

x 2 0 maximum 2<br />

x 2 undefined local min 0<br />

38. crit. pt. derivative extremum value<br />

x 0 0 minimum 0<br />

x 1 2<br />

0 local max 1 44<br />

15 1/2 4.462<br />

5<br />

125<br />

x 3 undefined minimum 0<br />

39. crit. pt. derivative extremum value<br />

x 1 undefined minimum 2<br />

40. crit. pt. derivative extremum value<br />

x 0 undefined local min 3<br />

x 1 0 local max 4<br />

41. crit. pt. derivative extremum value<br />

x 1 0 maximum 5<br />

x 1 undefined local min 1<br />

x 3 0 maximum 5<br />

42.<br />

crit. pt. derivative extremum value<br />

x 1 0 local max 4<br />

x 3.155 0 local max 3.079<br />

46. False. Consider the graph below.<br />

y<br />

53. (a) f (x) 3ax 2 2bx c is a quadratic, so it<br />

can have 0, 1, or 2 zeros, which would be the<br />

critical points of f. Examples:<br />

[–3, 3] by [–5, 5]<br />

The function f(x) x 3 3x has two critical points at x 1 and x 1.<br />

[–3, 3] by [–5, 5]<br />

The function f(x) x 3 1 has one critical point at x 0.<br />

[–3, 3] by [–5, 5]<br />

The function f(x) x 3 x has no critical points.<br />

54. (a) By definition of local maximum, there is an open interval containing c<br />

where f(x) f(c), so f(x) f(c) 0.<br />

(b) Since f (c) exists, the limit exists. Because x → c ,(x c) 0, and<br />

the sign of the quotient must be negative (or zero). This means the<br />

limit is nonpositive.<br />

(c) Since f (c) exists, the limit exists. Because as x → c ,(x c) 0, and<br />

the sign of the quotient must be positive (or zero). This means the limit<br />

is nonnegative.<br />

(d) Assuming that f(c) exists, the one-sided limits in (b) and (c) above<br />

must exist and be equal. Since one is nonpositive and one is nonnegative,<br />

the only possible common value is 0.<br />

(e) There will be an open interval containing c where f (x) f (c) 0. The<br />

difference quotient for the left-hand derivative will have to be negative<br />

(or zero), and the difference quotient for the right-hand derivative will<br />

have to be positive (or zero). Taking the limit, the left-hand derivative<br />

will be nonpositive, and the right-hand derivative will be nonnegative.<br />

Therefore, the only possible value for f (c) is 0.<br />

55. (a)<br />

x<br />

[–0.1, 0.6] by [–1.5, 1.5]<br />

f(0) 0 is not a local extreme value because in any open interval containing<br />

x 0, there are infinitely many points where f (x) 1 and<br />

where f(x) 1.<br />

(b) One possible answer, on the interval [0, 1]:<br />

f (x) <br />

(1 x) cos 1<br />

, 0 x 1<br />

1 x<br />

0, x 1<br />

This function has no local extreme value at x 1. Note that it is continuous<br />

on [0, 1].


Additional Answers 653<br />

Section 4.2<br />

Exercises 4.2<br />

11. Because the trucker’s average speed was 79.5 mph, and by the Mean Value<br />

Theorem, the trucker must have been going that speed at least once during<br />

the trip.<br />

12. Let f (t) denote the temperature indicated after t seconds. We assume that<br />

f (t) is defined and continuous for 0 t 20. The average rate of change<br />

is 10.6°F/sec. Therefore, by the Mean Value Theorem, f (c) 10.6°F/sec<br />

for some value of c in [0, 20].<br />

13. Because its average speed was approximately 7.667 knots, and by the<br />

Mean Value Theorem, it must have been going that speed at least once<br />

during the trip.<br />

14. The runner’s average speed for the marathon was approximately 11.909 mph.<br />

Therefore, by the Mean Value Theorem, the runner must have been going<br />

that speed at least once during the marathon. Since the initial speed and<br />

final speed are both 0 mph and the runner’s speed is continuous, by the<br />

Intermediate Value Theorem, the runner’s speed must have been 11 mph<br />

at least twice.<br />

25. (a) Local max at (2, 1/4);<br />

local min at (2, 1/4)<br />

(b) On (, 2] and [2, )<br />

(c) On [2, 2]<br />

26. (a) None (b) None<br />

(c) On (, 2), (2, 2), and (2, )<br />

27. (a) Local maximum at (1.126, 0.036);<br />

local minimum at (0.559, 2.639)<br />

(b) On (, 1.126] and [0.559, )<br />

(c) On [1.126, 0.559]<br />

39. Possible answers:<br />

(a)<br />

(b)<br />

(c)<br />

(d)<br />

41. One possible answer:<br />

[–3, 3] by [–15, 15]<br />

42. One possible answer:<br />

[–2, 4] by [–2, 4]<br />

(b)<br />

(c)<br />

[–1, 4] by [0, 3.5]<br />

[–1, 4] by [0, 3.5]<br />

40. Possible answers:<br />

(a)<br />

46. Because the Mean Value Theorem applies to the function y sin x on any<br />

interval, and y cos x is the derivative of sin x. So, between any two zeros<br />

of sin x, its derivative, cos x, must be zero at least once.<br />

47. f(x) must be zero at least once between a and b by the Intermediate Value<br />

Theorem.<br />

Now suppose that f (x) is zero twice between a and b. Then by the Mean<br />

Value Theorem, f (x) would have to be zero at least once between the two<br />

zeros of f(x), but this can’t be true since we are given that f (x) 0 on this<br />

interval.<br />

Therefore, f(x) is zero once and only once between a and b.<br />

48. Let f(x) x 4 3x 1. Then f(x) is continuous and differentiable everywhere.<br />

f (x) 4x 3 3, which is never zero between x 2 and x 1.<br />

Since f (2) 11 and f (1) 1, exercise 47 applies, and f(x) has exactly<br />

one zero between x 2 and x 1.<br />

49. Let f(x) x ln (x 1). Then f(x) is continuous and differentiable<br />

1<br />

everywhere on [0, 3]. f (x) 1 , which is never zero on [0, 3].<br />

x 1<br />

Now f(0) 0, so x 0 is one solution of the equation. If there were a<br />

second solution, f(x) would be zero twice in [0, 3], and by the Mean Value<br />

Theorem, f (x) would have to be zero somewhere between the two zeros<br />

of f(x). But this can’t happen, since f (x) is never zero on [0, 3]. Therefore,<br />

f(x) 0 has exactly one solution in the interval [0, 3].<br />

50. Consider the function k(x) f(x) g(x). k(x) is continuous and differentiable<br />

on [a, b], and since k(a) f(a) g(a) 0 and


654 Additional Answers<br />

k(b) f(b) g(b) 0, by the Mean Value Theorem, there must be a point<br />

c in (a, b) where k(c) 0. But since k(c) f (c) g(c), this means<br />

that f (c) g(c), and c is a point where the graphs of f and g have parallel<br />

or identical tangent lines.<br />

Section 4.3<br />

Exercises 4.3<br />

may vary.<br />

(a) y <br />

(b)<br />

may vary.<br />

2898438<br />

(a) y 1 49.<br />

252<br />

(b)<br />

b a<br />

51. False. For example, the function x 3 is increasing on (1, 1), but f(0) 0.<br />

52. True. In fact, f is increasing on [a, b] by Corollary 1 to the Mean Value<br />

Theorem.<br />

57. (a) Increasing: [2, 1.3] and [1.3, 2];<br />

decreasing: [1.3, 1.3];<br />

local max: x 1.3<br />

local min: x 1.3<br />

(b) Regression equation: y 3x 2 5<br />

(c) f(x) x 3 5x<br />

[–2.5, 2.5] by [–8, 10]<br />

58. (a) Toward: 0 t 2 and 5 t 8;<br />

away: 2 t 5<br />

(b) A local extremum in this problem is a time/place where Priya changes<br />

the direction of her motion.<br />

(c) Regression equation:<br />

y 0.0820x 3 0.9163x 2 2.5126x 3.3779<br />

(d) f(t) 0.2459t 2 1.8324t 2.5126<br />

toward: 0 t 1.81 and 5.64 t 8;<br />

away: 1.81 t 5.64<br />

59. f(b 1 ) f(a)<br />

b 1 a <br />

1<br />

<br />

b a<br />

a b<br />

1 1 1<br />

f (c) c 2, so c 2 and c 2 ab.<br />

a b<br />

Thus, c ab.<br />

60. f(b ) f(a)<br />

b <br />

a<br />

b2 a2<br />

b b a<br />

a<br />

f (c) 2c, so2c b a and c a b<br />

.<br />

2<br />

61. By the Mean Value Theorem, sin b sin a (cos c)(b a) for some c<br />

between a and b. Taking the absolute value of both sides and using<br />

⏐cos c⏐ 1 gives the result.<br />

62. Apply the Mean Value Theorem to f on [a, b].<br />

Since f(b) f (a), f (b ) f(a)<br />

is negative, and hence f (x) must be negative<br />

at some point between a and b.<br />

b<br />

a<br />

63. Let f(x) be a monotonic function defined on an interval D. For any two<br />

values in D, we may let x 1 be the smaller value and let x 2 be the larger<br />

value, so x 1 x 2 . Then either f(x 1 ) f(x 2 ) (if f is increasing), or<br />

f(x 1 ) f(x 2 ) (if f is decreasing), which means f(x 1 ) f(x 2 ). Therefore, f is<br />

one-to-one.<br />

25. (a) v(t) 2t 4 (b) a(t) 2<br />

(c) It begins at position 3 moving in a negative direction. It moves to position<br />

1 when t 2, and then changes direction, moving in a positive<br />

direction thereafter.<br />

26. (a) v(t) 2 2t (b) a(t) 2<br />

(c) It begins at position 6 and moves in the negative direction thereafter.<br />

27. (a) v(t) 3t 2 3 (b) a(t) 6t<br />

(c) It begins at position 3 moving in a negative direction. It moves to position<br />

1 when t 1, and then changes direction, moving in a positive direction<br />

thereafter.<br />

28. (a) v(t) 6t 6t 2 (b) a(t) 6 12t<br />

(c) It begins at position 0. It starts moving in the positive direction until it<br />

reaches position 1 when t 1, and then it changes direction. It moves<br />

in the negative direction thereafter.<br />

31. Some calculators use different logistic regression equations, so answers<br />

12655.179<br />

<br />

1 12.871e 0.0326x<br />

[0, 140] by [–200, 12000]<br />

(c) The regression equation predicts a population of 12,209,870. (This is<br />

remarkably close to the 2000 census number of 12,281,054.)<br />

(d) The second derivative has a zero at about 78, indicating that the population<br />

was growing the fastest in 1898. This corresponds to the inflection<br />

point on the regression curve.<br />

(e) The regression equation predicts a population limit of about<br />

12,655,179.<br />

32. Some calculators use different logistic regression equations, so answers<br />

6.<br />

288<br />

e<br />

0.<br />

851x<br />

[0, 9] by [–3.1 10 6 , 3.2 10 7 ]<br />

(c) The zero of the second derivative is about 4.6, which puts the fastest<br />

growth during 1981. This corresponds to the inflection point of the regression<br />

curve.<br />

(d) The regression curve predicts that cable subscribers will approach a<br />

limit of 28,984,386 12,168,450 subscribers (about 41 million).<br />

(e) For many reasons, the potential market for cable TV subscribers between<br />

1977 and 1985 was limited compared to today. Some reasons are: the<br />

technology has improved, televisions have become cheaper, there are<br />

more cable stations to entice viewers, and many more communities<br />

have access to cable.<br />

33. y3 3x 2 and y6x.<br />

y0 at 1. y(1) 0 and y(1) 0, so there is a local minimum at<br />

(1, 3) and a local maximum at (1, 7).<br />

34. y5x 4 80 and y20x 3 .<br />

y0 at 2. y(2) 0 and y(2) 0, so there is a local maximum at<br />

(2, 228) and a local minimum at (2, 28).


Additional Answers 655<br />

35. y3x 2 6x and y6x 6.<br />

y0 at 2 and 0. y(2) 0 and y(0) 0, so there is a local maximum<br />

at (– 2, 2) and a local minimum at (0, 2).<br />

36. y15x 4 75x 2 60 and y60x 3 150x.<br />

y0 at 1 and 2. y(2) 0, y(1) 0, y(1) 0, and y(2) 0;<br />

so there are local maxima at (2, 4) and (1, 58), and there are local<br />

minima at (1, 18) and (2, 36).<br />

37. y(x 1)e x and y(x 2)e x .<br />

y0 at 1 and y(1) 0 , so there is a local minimum at (1, 1/e).<br />

38. y(1 x)e x and y(x 2)e x .<br />

y0 at 1 and y(1) 0, so there is a local maximum at (1, 1e)<br />

41.<br />

y<br />

y = f′(x)<br />

y = f(x)<br />

P<br />

47. One possible answer:<br />

y<br />

(–2, 8) 10<br />

(0, 4)<br />

–5<br />

(2, 0)<br />

–10<br />

48. One possible answer:<br />

5<br />

x<br />

x<br />

y = f′′(x)<br />

42.<br />

43. No. f must have a horizontal tangent line at that point, but it could be increasing<br />

(or decreasing) on both sides of the point, and there would be no<br />

local extremum.<br />

44. No. f (x) could still be positive (or negative) on both sides of x c, in<br />

which case the concavity of the function wouldn’t change at x c.<br />

45. One possible answer:<br />

y<br />

–5<br />

5<br />

5<br />

x<br />

51. (a) Absolute maximum at (1, 2);<br />

absolute minimum at (3, 2)<br />

(b) None<br />

(c) One possible answer:<br />

2<br />

1<br />

–1<br />

–2<br />

y<br />

1<br />

y = f(x)<br />

52. (a) Absolute maximum at (0, 2);<br />

absolute minimum at (2, 1) and (2, 1)<br />

(b) At (1, 0) and (1, 0)<br />

(c) One possible answer:<br />

2<br />

3<br />

x<br />

–5<br />

46. One possible answer:<br />

(d) f(3) f(3), and 1 f(3) 0.


656 Additional Answers<br />

53.<br />

y<br />

4<br />

3<br />

2<br />

1<br />

y = f(x)<br />

By the First Derivative test, f has relative minima at x 1 and x 4<br />

and relative maxima at x 2.<br />

(b) f (x) 6(x2 ) <br />

(x<br />

2 2 2x(6x)<br />

2) 2 6(x<br />

2 2)<br />

(x 2 .<br />

2) 2 Since f changes sign at<br />

x 2, there are points of inflection at x 2 .<br />

(c) Comparing the two relative maxima, we see that f(2) 3 ln 6 4<br />

and f(2) 3ln 6 4. The absolute maximum is 3 ln 6 4.<br />

54.<br />

–1<br />

1<br />

2<br />

3<br />

4<br />

5<br />

6<br />

x<br />

Section 4.4<br />

Exercises 4.4<br />

18. (a) V(x) 2x 3 25x 2 75x<br />

(b) Domain: (0, 5)<br />

61. (a) In Exercise 7, a 4 and b 21,<br />

b<br />

so 7 ,which is the x-value where the point of inflection occurs.<br />

3 a 4<br />

The local extrema are at x 2 and x 3 ,which are symmetric<br />

2<br />

about x 7 4 .<br />

b<br />

(b) In exercise 2, a 2 and b 6, so 1, which is the x-value<br />

3 a<br />

where the point of inflection occurs. The local extrema are at x 0 and<br />

x 2, which are symmetric about x 1.<br />

(c) f (x) 3ax 2 2bx c and f (x) 6ax 2b.<br />

The point of inflection will occur where f (x) 0, which is at<br />

b<br />

x .<br />

3 a<br />

If there are local extrema, they will occur at the zeros of f (x). since<br />

f (x) is quadratic, its graph is a parabola and any zeros will be<br />

symmetric about the vertex which will also be where f (x) 0.<br />

abce 62. (a) f (x) b x<br />

(e bx<br />

,<br />

a) 2 so the sign of f (x) is the<br />

same as the sign of the product abc.<br />

(b) f (x) ab2 ceb<br />

x ( e bx a)<br />

( e bx<br />

.<br />

a)<br />

3 Since a 0, this changes sign<br />

when x ln a<br />

due to the e bx a factor in the numerator, and<br />

b<br />

there is a point of inflection at that location.<br />

63. (a) Since f (x) is quadratic it must have 0, 1, or 2 zeros. If f (x) has 0 or 1<br />

zeros, it will not change sign and the concavity of f(x) will not change,<br />

so there is no point of inflection. If f (x) has 2 zeros, it will change<br />

sign twice, and f(x) will have 2 points of inflection.<br />

(b) f(x) has two points of inflection if and only if 3b 2 8ac.<br />

Quick Quiz (Sections 4.1–4.3)<br />

6x<br />

4. (a) f(x) x 2 2 2(x 1)( x 2)<br />

2<br />

x 2 . Critical numbers are x 1<br />

2<br />

and x 2. The sign graph of f is shown below.<br />

<br />

<br />

<br />

–2 1 2 4<br />

x<br />

(c) Maximum volume 66.02 in 3 when x 1.96 in.<br />

(d) V (x) 6x 2 50x 75, so the critical point is at x 25 57<br />

,<br />

6<br />

which confirms the result in part (c).<br />

19. (a) V(x) 2x(24 2x)(18 2x)<br />

(b) Domain: (0, 9)<br />

[0, 9] by [–400, 1600]<br />

(c) Maximum volume 1309.95 in 3 when x 3.39 in.<br />

(d) V(x) 24x 2 336x 864, so the critical point is at x 7 13,<br />

which confirms the result in part (c).<br />

(e) x 2 in. or x 5 in.<br />

(f) The dimensions of the resulting box are 2x in., (24 2x) in.,<br />

and (18 2x) in. Each of these measurements must be positive, so that<br />

gives the domain of (0, 9).<br />

22. Dimensions: Radius 10<br />

2 3 20<br />

8.16 cm, height 11.55 cm;<br />

3<br />

4000<br />

maximum volume 2418.40 cm 3<br />

33<br />

23. Set r(x) c(x): 4x 1/2 4x. The only positive critical value is x 1, so<br />

profit is maximized at a production level of 1000 units. Note that<br />

(r c)(x) 2(x) 3/2 4 0 for all positive x, so the Second Derivative<br />

Test confirms the maximum.<br />

24. Set r(x) c(x): 2x/(x 2 1) 2 (x 1) 2 . We solve this equation graphically<br />

to find that x 0.294 or x 1.525. The graph of y r(x) c(x)<br />

shows a minimum at x 0.294 and a maximum at x 1.525, so profit is<br />

maximized at a production level of about 1,525 units.<br />

25. Set c(x) c(x)/x:3x 2 20x 30 x 2 10x 30. The only positive<br />

solution is x 5, so average cost is minimized at a production level of<br />

d 2<br />

5000 units. Note that d x2 c( x) 2 0 for all positive x, so the Second<br />

x <br />

Derivative Test confirms the minimum.<br />

26. Set c(x) c(x) /x: xe x e x 4x e x 2x. The only positive solution is<br />

x ln 2, so average cost is minimized at a production level of 1000 ln 2,<br />

d 2<br />

which is about 693 units. Note that d x2 <br />

c( x)<br />

<br />

x <br />

e x 0 for all positive x,<br />

so the Second Derivative Test confirms the minimum.


Additional Answers 657<br />

28. (a) At x 1<br />

(b) a b A<br />

0.1 3.72 0.33<br />

0.2 2.86 0.44<br />

0.3 2.36 0.46<br />

0.4 2.02 0.43<br />

0.5 1.76 0.38<br />

0.6 1.55 0.31<br />

0.7 1.38 0.23<br />

0.8 1.23 0.15<br />

0.9 1.11 0.08<br />

1.0 1.00 0.00<br />

(c)<br />

(c)<br />

Changing the value of k changes the maximum strength, but not the<br />

dimensions of the strongest beam. The graphs for different values of k<br />

look the same except that the vertical scale is different.<br />

38. (a) 6 in. wide by 63 in. deep<br />

(b)<br />

[0, 1.1] by [–0.2, 0.6]<br />

(d) Quadratic:<br />

A 0.91a 2 0.54a 0.34<br />

(c)<br />

[0, 12] by [–2000, 8000]<br />

[0, 12] by [–2000, 8000]<br />

[–0.5, 1.5] by [–0.2, 0.6]<br />

Cubic:<br />

A 1.74a 3 3.78a 2 1.86a 0.19<br />

y x 3 (144 x 2 ) 1/2<br />

Changing the value of k changes the maximum stiffness, but not the dimensions<br />

of the stiffest beam. The graphs for different values of k look<br />

the same except that the vertical scale is different.<br />

39. (a) Maximum speed 10 cm/sec;<br />

maximum speed is at t 1 2 , 3 2 , 5 2 , 7 2 seconds;<br />

[–0.5, 1.5] by [–0.2, 0.6]<br />

Quartic:<br />

A 1.92a 4 5.96a 3 6.87a 2 2.71a 0.12<br />

[–0.5, 1.5] by [–0.2, 0.6]<br />

(e) Quadratic: A 0.42;<br />

cubic: A 0.45;<br />

quartic: A 0.46<br />

37. (a) 43 in. wide by 46 in. deep<br />

(b)<br />

position at those times is s 0 cm (rest position);<br />

acceleration at those times is 0 cm/sec 2<br />

(b) The magnitude of the acceleration is greatest<br />

when the cart is at positions s 10 cm;<br />

The speed of the cart is 0 cm/sec at those times.<br />

57. Let P be the foot of the perpendicular from A to the mirror, and Q be the<br />

foot of the perpendicular from B to the mirror. Suppose the light strikes the<br />

mirror at point R on the way from A to B. Let:<br />

a distance from A to P<br />

b distance from B to Q<br />

c distance from P to Q<br />

x distance from P to R<br />

To minimize the time is to minimize the total distance the light travels<br />

going from A to B. The total distance is<br />

D(x) (x 2 a 2 ) 1/2 ((c x) 2 b 2 ) 1/2 .<br />

Then D(x) 0 and D(x) has it minimum when<br />

ac<br />

x c<br />

x , or, a . It follows that<br />

a b a b<br />

bc<br />

c x , or c x c<br />

. This means that the two triangles APR<br />

a b b a b<br />

and BQR are similar, and the two angles must be equal.<br />

59. (a) d v<br />

cr(2r<br />

dr<br />

0 3r) which is zero when<br />

r 2 3 r 0 .<br />

(b)


658 Additional Answers<br />

63. (a) y(0) 0 (b) y(L) 0<br />

(c) y(0) 0, so d 0. y(0) 0, so c 0.<br />

Then y(L) aL 3 bL 2 H and<br />

y(L) 3aL 2 2bL 0.<br />

H H<br />

Solving, a 2 L 3 and b 3 L 2, which gives the equation shown.<br />

64. (a) V(x) 3 2 a x<br />

<br />

2<br />

2 a2 <br />

a<br />

2 <br />

x<br />

2<br />

2<br />

(b) When a 4: r 4 6<br />

, h 4 3<br />

;<br />

3 3<br />

when a 5: r 5 6<br />

, h 5 3<br />

;<br />

3 3<br />

when a 6: r 26, h 23;<br />

when a 8: r 8 6<br />

, h 8 3<br />

<br />

3 3<br />

(c) h<br />

r 2<br />

a<br />

65. (a) The x- and y-intercepts of the line through R and T are x and f (x)<br />

a xf(x) respectively.<br />

The area of the triangle is the product of these two values.<br />

(b) Domain: (0, 10)<br />

2. (a) L(x) 4 5 x 9 5 <br />

(b) Differs from the true value in absolute value by less than 10 3<br />

3. (a) L(x) 2<br />

(b) Differs from the true value in absolute value by less than 10 2<br />

4. (a) L(x) x<br />

(b) Differs from the true value in absolute value by less than 10 2<br />

5. (a) L(x) x <br />

(b) Differs from the true value in absolute value by less than 10 3<br />

6. (a) L(x) x 2 <br />

(b) Differs from the true value in absolute value by less than 10 3<br />

7. f(0) 1. Also, f (x) k(1 x) k1 , so f (0) k.<br />

This means the linearization at x 0 is L(x) 1 kx.<br />

19. (a) dy (3x 2 3) dx<br />

(b) dy 0.45 at the given values<br />

2 2x2<br />

20. (a) dy (1 x2) 2 dx<br />

(b) dy 0.024 at the given values<br />

21. (a) dy (2x ln x x) dx<br />

(b) dy 0.01 at the given values<br />

1 2x2<br />

22. (a) dy (1 x2) 1 /2 dx<br />

(b) dy 0.2 at the given values<br />

23. (a) dy (cos x) e sin x dx<br />

(b) dy 0.1 at the given values<br />

24. (a) dy csc 1 3<br />

x <br />

cot 1 3<br />

x <br />

dx<br />

The vertical asymptotes at x 0 and x 10 correspond to horizontal<br />

or vertical tangent lines, which do not form triangles.<br />

(c) Height 15, which is 3 times the y-coordinate of the center of the<br />

ellipse.<br />

(d) Part (a) remains unchanged.<br />

The domain is (0, C) and the graph is similar.<br />

The minimum area occurs when x 2 3C 2<br />

. From this, it follows that<br />

4<br />

the triangle has minimum area when its height is 3B.<br />

Section 4.5<br />

Quick Review 4.5<br />

9.<br />

10.<br />

[0, 10] by [–100, 1000]<br />

[0, π] by [–0.2, 1.3]<br />

(b) dy 0.205525 at the given values<br />

25. (a) dy (x <br />

dx1) 2<br />

(b) dy 0.01 at the given values<br />

x y<br />

26. (a) dy 2 2 x<br />

dx<br />

(b) dy 0.0375 at the given values<br />

53. Since V 4 3 r3 , we have dV 4r 2 dr 4r 2 1<br />

16<br />

r 2<br />

.<br />

4<br />

The volume error in each case is simply r 2<br />

in 3 .<br />

4<br />

Sphere Type True Radius Tape Error Radius Error Volume Error<br />

Orange 2" 1/8" 1/16 " 1 in 3<br />

Melon 4" 1/8" 1/16 " 4 in 3<br />

Beach Ball 7" 1/8" 1/16 " 12.25 in 3<br />

54. Since A 4r 2 1 r<br />

, we have dA 8rdr 8r <br />

16 <br />

. 2<br />

The surface area error in each case is simply 2<br />

r in 2 .<br />

Sphere Type True Radius Tape Error Radius Error S. Area Error<br />

Orange 2" 1/8" 1/16 " 1 in 2<br />

Melon 4" 1/8" 1/16 " 2 in 2<br />

Beach Ball 7" 1/8" 1/16 " 3.5 in 2<br />

1<br />

64. If x 1 h, then f(x 1 ) 2h 1/2 and x 2 h h 1/2<br />

<br />

1<br />

<br />

h 2h h. If x 1 h,<br />

2h 1/2<br />

1<br />

then f(x 1 ) 2h 1/2 and x 2 h 2h h.<br />

Exercises 4.5<br />

1. (a) L(x) 10x 13<br />

(b) Differs from the true value in absolute value by less than 10 1


Additional Answers 659<br />

65. x 2 2, x 3 4, x 4 8, and x 5 16;<br />

⏐x n ⏐ 2 n1 .<br />

[–10, 10] by [–3, 3]<br />

66. (a) b 0 f(a), b 1 f (a), and b 2 f (a)<br />

.<br />

2<br />

(b) 1 x x 2<br />

(c) As one zooms in, the two graphs quickly become indistinguishable.<br />

They appear to be identical.<br />

(d) The quadratic approximation is<br />

1 (x 1) (x 1) 2 .<br />

As one zooms in, the two graphs quickly become indistinguishable.<br />

They appear to be identical.<br />

(e) The quadratic approximation is<br />

x x2<br />

1 . 2 8<br />

As one zooms in, the two graphs quickly become indistinguishable.<br />

They appear to be identical.<br />

(f) For f :1 x ;<br />

for g:1 (x 1) 2 x;<br />

x<br />

for h:1 2<br />

67. Finding a zero of sin x by Newton’s method would use the recursive formula<br />

sin(<br />

xn)<br />

x n1 x n x c os(<br />

xn)<br />

n tan x n , and that is exactly what the calculator<br />

would be doing. Any zero of sin x would be a multiple of p.<br />

69. lim tan x<br />

lim sin x/ cos x<br />

<br />

x→0 x x→0 x<br />

lim<br />

x→0 1<br />

sin x<br />

cos x x<br />

lim 1<br />

<br />

x→0 cos x lim sin x<br />

<br />

x→0 x<br />

(1)(1) 1.<br />

70. g(a) c, so if E(a) 0, then g(a) f(a) and<br />

c f(a). Then<br />

E(x) f(x) g(x) f(x) f(a) m(x a).<br />

E(x)<br />

Thus, f (x) f (a)<br />

m.<br />

x a x a<br />

lim f(x ) f(a)<br />

f (a), so if the limit of<br />

x→a x a<br />

E(x)<br />

is zero, then m f (a) and g(x) L(x).<br />

x a<br />

Section 4.6<br />

Exercises 4.6<br />

45. (a) The point being plotted would correspond to a point on the edge of the<br />

wheel as the wheel turns.<br />

(b) One possible answer:<br />

16pt, where t is in seconds.<br />

(c) Assuming counterclockwise motion, the rates are as follows.<br />

p 4 ; d x<br />

71.086 ft/sec<br />

dt<br />

d y<br />

71.086 ft/sec<br />

dt<br />

2 : d x<br />

100.531 ft/sec<br />

dt<br />

d y<br />

0 ft/sec<br />

dt<br />

p: d x<br />

0 ft/sec<br />

dt<br />

d y<br />

100.531 ft/sec<br />

dt<br />

46. (a) One possible answer:<br />

x 30 cos , y 40 30 sin <br />

(b) Assuming counterclockwise motion, the rates are as follows.<br />

When t 5: d x<br />

0 ft/sec<br />

dt<br />

d y<br />

18.850 ft/sec<br />

dt<br />

when t 8: d x<br />

17.927 ft/sec<br />

dt<br />

d y<br />

5.825 ft/sec<br />

dt<br />

Quick Quiz (Sections 4.4–4.6)<br />

4. (a) Since d y<br />

1 1<br />

dx<br />

2 x1/2 , the slope at (25, 5) is . 1 0<br />

1<br />

The linearization is L(x) (x 25) 5, so L(26) 5.1.<br />

1 0<br />

f(<br />

5)<br />

(b) x 2 5 5 52 26<br />

5.1.<br />

f (<br />

5)<br />

2(5)<br />

(c) The appropriate linearization is for the curve y 3 x at the point (27, 3).<br />

Since d y<br />

1 1<br />

dx<br />

3 x2/3 , the slope at (27, 3) is . The linearization is<br />

2 7<br />

1<br />

L(x) (x 27) 3, so L(26) 3 – 1/27 2.963.<br />

2 7<br />

Review Exercises<br />

5. (a) Approximately (, 0.385]<br />

(b) Approximately [0.385, )<br />

(c) None (d) (, )<br />

(e) Local maximum at (0.385, 1.215)<br />

(f) None<br />

6. (a) [1, ) (b) (, 1]<br />

(c) (, )<br />

(d) None<br />

(e) Local minimum at (1, 0)<br />

(f ) None<br />

7. (a) [0, 1) (b) (1, 0]<br />

(c) (1, 1)<br />

(d) None<br />

(e) Local minimum at (0, 1)<br />

(f) None<br />

8. (a) (, 2 1/3 ] (, 0.794]<br />

(b) [2 1/3 ,1) [0.794, 1) and (1, )<br />

(c) (, 2 1/3 ) (, 1.260) and (1, )<br />

(d) (1.260, 1)<br />

(e) Local maximum at<br />

21/3 , 2 3 21/3 (0.794, 0.529)<br />

(f)<br />

21/3 , 1 3 21/3 (1.260, 0.420)<br />

<br />

9. (a) None (b) [1, 1]<br />

(c) (1, 0) (d) (0, 1)<br />

(e) Local maximum at (1, p);<br />

local minimum at (1, 0)<br />

(f)<br />

0, p 2


660 Additional Answers<br />

10. (a) [3, 3]<br />

(e) Local maximum at (0.889, 1.011);<br />

(b) (,3] and [3, )<br />

local minimum at (0, 0)<br />

(c) Approximately (2.584, 0.706) and (3.290, )<br />

(f) <br />

(d) Approximately (, 2.584) and (0.706, 3.290)<br />

2 9 , 0.667 <br />

(e) Local maximum at<br />

16. (a) Approximately (, 0.215]<br />

3, (b) Approximately [0.215, 2) and (2, )<br />

3 1<br />

(1.732, 0.183);<br />

(c) Approximately (2, 3.710)<br />

4<br />

(d) (, 2) and approximately (3.710, )<br />

local minimum at<br />

(e) Local maximum at (0.215, 2.417)<br />

3,<br />

(f) (3.710, 3.420)<br />

(1.732, 0.683)<br />

4<br />

35. .<br />

y<br />

(f) (2.584, 0.573), (0.706, 0.338), and (3.290, 0.161)<br />

2<br />

11. (a) (0, 2] (b) [2, 0)<br />

(c) None (d) (2, 0) and (0, 2)<br />

(e) Local maxima at (2, ln 2) and (2, ln 2)<br />

x<br />

(f) None<br />

–3<br />

3<br />

12. (a) Approximately [0, 0.176], 0.994, p 2 ,<br />

y = f(x)<br />

[2.148, 2.965], <br />

3.834, 3 p <br />

2 , and 5.591, 2p <br />

(b) Approximately [0.176, 0.994], p 2 , 2.148 ,<br />

p<br />

[2.965, 3.834], and 3 , 5.591<br />

2 <br />

(c) Approximately (0.542, 1.266), (1.876, 2.600),<br />

(3.425, 4.281), and (5.144, 6.000)<br />

(d) Approximately (0, 0.542), (1.266, 1.876),<br />

(2.600, 3.425), (4.281, 5.144),<br />

and (6.000, 2p)<br />

(e) Local maxima at (0.176, 1.266), p 2 ,0 <br />

p<br />

and (2.965, 1.266), 3 ,2<br />

2 <br />

, and (2p, 1);<br />

local minima at (0, 1),<br />

(0.994, 0.513),<br />

(2.148, 0.513), (3.834, 1.806),<br />

and (5.591, 1.806)<br />

Note that the local extrema at x 3.834,<br />

x 3 p , and x 5.591 are also absolute extrema.<br />

2<br />

(f) (0.542, 0.437), (1.266, 0.267),<br />

(1.876, 0.267), (2.600, 0.437), (3.425, 0.329), (4.281, 0.120),<br />

(5.144, 0.120), and (6.000, 0.329)<br />

2<br />

13. (a) 0, <br />

(b) (, 0] and <br />

2<br />

3<br />

, <br />

(c) (, 0) (d) (0, )<br />

(e) Local maximum at<br />

2 16<br />

(1.155, 3.079)<br />

3<br />

3<br />

3 1<br />

<br />

, 33 <br />

(f ) None<br />

14. (a) Approximately [0.578, 1.692]<br />

(b) Approximately (, 0.578] and [1.692, )<br />

(c) Approximately (, 1.079)<br />

(d) Approximately (1.079, )<br />

(e) Local maximum at (1.692, 20.517);<br />

local minimum at (0.578, 0.972)<br />

(f) (1.079, 13.601)<br />

15. (a) 0, 8 9 <br />

(b) (, 0] and <br />

8 , )<br />

9<br />

(c) <br />

, 2 9 <br />

(d) 2 9 ,0 <br />

and (0, )<br />

–3<br />

36. (a) Absolute minimum is 2 at x 1;<br />

absolute maximum is 3 at x 3<br />

(b) None<br />

(c)<br />

1633001.59<br />

41. (a) With some rounding, y <br />

1 17.471e 0.06378t<br />

(b) The regression fit looks very good:<br />

[0, 80] by [0, 1600000]<br />

(c) 1,476,128 829,210 2,305,337<br />

(d) About 1885; the graph has an inflection at this point.<br />

(e) The maximum population will be about 2,462,000.<br />

(f) There are many possible causes. Advances in transportation began<br />

drawing the population southward after 1920, and Tennessee was wellsituated<br />

geographically to become a crossroads of river, railroad, and<br />

automobile routes. By the year 2000 there had been numerous other<br />

demographic changes. It should also be pointed out that the census<br />

years in the data (1850 – 1910) include the years of the Civil War and<br />

Reconstruction, so the regression is based on unusual data to begin with.<br />

51. (a) V(x) x(15 – 2x)(5 – x)<br />

(b) 0 x 5<br />

[0, 5] by [10, 70]


Additional Answers <strong>661</strong><br />

(c) Maximum volume 66.019 in 3 when x 1.962 in.<br />

(d) V(x) 6x 2 – 50 x 75 which is zero at x 25 57<br />

1.962.<br />

6<br />

(b)<br />

y<br />

2<br />

70. (a) The only x-value for which f has a relative maximum is x – 2. That<br />

is the only place where the derivative of f goes from positive to<br />

negative.<br />

(b) The only x-value for which f has a relative minimum is x 0. That is<br />

the only place where the derivative of f goes from negative to positive.<br />

(c) The graph of f is concave up on (1, 1) and on (2, 3). Those are the intervals<br />

on which the derivative of f is increasing.<br />

(d)<br />

y<br />

LRAM 1.25<br />

2<br />

x<br />

6. (a)<br />

2<br />

y<br />

–3 3<br />

x<br />

72. (a) V a 2 b, and b 60 2a<br />

15 a 4<br />

2 , so V 15pa2 p a 3 .<br />

2<br />

Thus d V<br />

30pa 3p a 2<br />

3 pa(20 a). The domain of consideration<br />

da<br />

2 2<br />

for a in this problem is (0, 30), so a 20 is the only critical number.<br />

The cylinder of maximum volume is formed when a 20 and b 5.<br />

(b) The sign graph for the derivative d V<br />

3 pa(20 – a) on the interval<br />

da<br />

2<br />

(0, 30) is as follows:<br />

<br />

x<br />

0 20 30<br />

By the First Derivative Test, there is a maximum at x 20.<br />

(b)<br />

2<br />

y<br />

RRAM 1.25<br />

2<br />

x<br />

CHAPTER 5<br />

2<br />

x<br />

Section 5.1<br />

Exercises 5.1<br />

5. (a) y<br />

2<br />

7.<br />

MRAM 1.375<br />

n LRAM n MRAM n RRAM n<br />

10 1.32 1.34 1.32<br />

50 1.3328 1.3336 1.3328<br />

100 1.3332 1.3334 1.3332<br />

500 1.333328 1.333336 1.333328<br />

R<br />

2<br />

x<br />

13.<br />

14.<br />

n<br />

MRAM<br />

10 526.21677<br />

20 524.25327<br />

40 523.76240<br />

80 523.63968<br />

160 523.60900<br />

n error % error<br />

10 2.61799 0.5<br />

20 0.65450 0.125<br />

40 0.16362 3.12 10 2<br />

80 0.04091 7.8 10 3<br />

160 0.01023 2 10 3

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