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Solutions for Chapter 1 Review

51. No, because sin 0 = 0

52. No, because 𝑒π‘₯βˆ’ 1 = 0 at π‘₯ = 0.

53. For βˆ’1 ≀ πœƒ ≀ 1, βˆ’1 ≀ 𝑦 ≀ 1, the graph of 𝑦 =cos πœƒ βˆ’ 1

πœƒ is shown in Figure 1.146. The graph suggests that limπœƒβ†’0

cos πœƒ βˆ’ 1

πœƒ = 0.

βˆ’1 1

βˆ’1 1 𝑦 =cos πœƒβˆ’1πœƒ

πœƒ 𝑦

Figure 1.146 54. For βˆ’0.5 ≀ πœƒ ≀ 0.5, 0 ≀ 𝑦 ≀ 0.5, the graph of 𝑦 = πœƒ

tan(3πœƒ) is shown in Figure 1.147. Therefore, by tracing along the curve, we see that lim

πœƒβ†’0

πœƒ

tan(3πœƒ)= 0.3333 ….

βˆ’0.5 0 0.5

0.5

πœƒ 𝑦

𝑦 =tan(3πœƒ)πœƒ

Figure 1.147 55. A graph of 𝑦 = 3β„Žβˆ’ 1

β„Ž in a window such as βˆ’0.5 ≀ β„Ž ≀ 0.5 and 0 ≀ 𝑦 ≀ 1.5 appears to indicate 𝑦 β†’ 1.1 as β„Ž β†’ 0. By zooming in on the graph, we can estimate the limit more accurately. Therefore, we estimate that

limβ„Žβ†’0

3β„Žβˆ’ 1

β„Ž = 1.098.

56. A graph of 𝑦 = sin(3β„Ž)

β„Ž in a window such as βˆ’0.5 ≀ β„Ž ≀ 0.5 and 0 ≀ 𝑦 ≀ 4 appears to indicate 𝑦 β†’ 3 as β„Ž β†’ 0.

Therefore, we estimate that

limβ„Žβ†’0

sin(3β„Ž) β„Ž = 3.

57. (a) Substituting π‘₯-values into 𝑓(π‘₯) gives:

π‘₯ 0.9 0.99 1.01 1.1

𝑓(π‘₯) 1.054 1.005 0.995 0.953

(b) Since the values of𝑓(π‘₯) appear to get closer and closer to 1 as π‘₯ gets closer and closer to 1, we estimate limπ‘₯β†’1

ln π‘₯ π‘₯ βˆ’ 1 = 1.

Notice that𝑓(π‘₯) = ln π‘₯

π‘₯ βˆ’ 1 is undefined atπ‘₯ = 1.

58. (a) Substituting π‘₯-values into 𝑓(π‘₯) gives:

π‘₯ 0.9 0.99 1.01 1.1

𝑓(π‘₯) 1.949 1.995 2.005 2.049

(b) Since the values of𝑓(π‘₯) appear to get closer and closer to 2 as π‘₯ gets closer and closer to 1, we estimate limπ‘₯β†’1

π‘₯ βˆ’ 1

√π‘₯ βˆ’ 1 = 2.

Notice that𝑓(π‘₯) = π‘₯βˆ’ 1

√π‘₯ βˆ’ 1is undefined atπ‘₯ = 1.

59. Since the value of π‘₯2increases faster than the value of lnπ‘₯, we know that lim

π‘₯β†’βˆž

ln π‘₯

π‘₯2 approaches zero asπ‘₯ β†’ ∞.

Thus, lim

π‘₯β†’βˆž

ln π‘₯ π‘₯2 = 0.

60. Since the value of 𝑒π‘₯βˆ’ 2 grows arbitrarily large as π‘₯ β†’ ∞ while the numerator remains constant, the value of the function approaches zero.

Thus, lim

π‘₯β†’βˆž

2 𝑒π‘₯βˆ’ 2= 0.

61. For large values of π‘₯, βˆ’5π‘₯2+ 2 behaves like βˆ’5π‘₯2and 3π‘₯2behaves like 3π‘₯2, so (βˆ’5π‘₯2+ 2)βˆ•(3π‘₯2) behaves like βˆ’5π‘₯2βˆ•3π‘₯2. Thus

π‘₯β†’βˆžlim

βˆ’5π‘₯2+ 2 3π‘₯2 = lim

π‘₯β†’βˆž

βˆ’5π‘₯2 3π‘₯2 = βˆ’ 5

3 . 62. Possible answers are 𝑓(π‘₯) = π‘₯ + 4 and 𝑓(π‘₯) = 5π‘₯βˆ’5π‘₯βˆ’1 though answers will vary.

63. Possible answers are 𝑓(π‘₯) =12 +1

π‘₯and𝑓(π‘₯) =2π‘₯π‘₯22+3though answers will vary.

64. (a) When π‘₯ < 2, 𝑔(π‘₯) = π‘₯2βˆ’ π‘₯. So as π‘₯ approaches 2 from the left, 𝑔(π‘₯) approaches 22βˆ’ 2 = 2. So

π‘₯β†’2limβˆ’π‘”(π‘₯) = 2.

(b) Whenπ‘₯ > 2, 𝑔(π‘₯) = 4βˆ•π‘₯. So as π‘₯ approaches 2 from the right, 𝑔(π‘₯) approaches 4βˆ•2 = 2. So

π‘₯β†’2lim+𝑔(π‘₯) = 2.

(c) Asπ‘₯ approaches 2 from either side, 𝑔(π‘₯) approaches 2. Therefore, limπ‘₯β†’2𝑔(π‘₯) = 2.

(d) Forπ‘₯ > 2, 𝑔(π‘₯) = 4βˆ•π‘₯. As π‘₯ approaches 3 from the left, π‘₯ is greater than 2, so 𝑔(π‘₯) approaches 4βˆ•3. Thus

π‘₯β†’3limβˆ’π‘”(π‘₯) = 4 3 .

65. (a) For π‘₯ < 2, we have 𝑓(π‘₯) = 3π‘₯ βˆ’ 5, so as π‘₯ approaches 2 from the left, we have

π‘₯β†’2limβˆ’π‘“(π‘₯) = 3(2) βˆ’ 5 = 1.

(b) Forπ‘₯ > 2, we have 𝑓(π‘₯) = 3 βˆ’ 2π‘₯, so as π‘₯ approaches 2 from the right, we have

π‘₯β†’2lim+𝑓(π‘₯) = 3 βˆ’ 2(2) = βˆ’1.

(c) The one-sided limits lim

π‘₯β†’2βˆ’π‘“(π‘₯) and lim

π‘₯β†’2+𝑓(π‘₯) do not agree. Therefore, the limit lim

π‘₯β†’2𝑓(π‘₯) does not exist, since 𝑓(π‘₯) does not approach a single value asπ‘₯ approaches 2 from both sides.

(d) If we are looking at the behavior of𝑓(π‘₯) close to π‘₯ = 0, then we are looking at values of 𝑓(π‘₯) for π‘₯ ≀ 2. So for values ofπ‘₯ near zero, 𝑓(π‘₯) = 3π‘₯ βˆ’ 5. As π‘₯ approaches zero, 𝑓(π‘₯) approaches 3(0) βˆ’ 5 = βˆ’5. Therefore,

limπ‘₯β†’0𝑓(π‘₯) = βˆ’5.

66. (a) When π‘₯ < 0, 𝑝(π‘₯) = π‘₯ + 3. So as π‘₯ approaches 0 from the left, 𝑝(π‘₯) approaches 0 + 3 = 3. Thus

π‘₯β†’0limβˆ’π‘(π‘₯) = 3.

(b) Whenπ‘₯ > 0, 𝑝(π‘₯) = π‘₯3+ 1. So as π‘₯ approaches 0 from the right, 𝑝(π‘₯) approaches 03+ 1 = 1. Thus

π‘₯β†’0lim+𝑝(π‘₯) = 1.

(c) The left-hand and right-hand limits of𝑝(π‘₯) at π‘₯ = 0 do not agree. Therefore, lim

π‘₯β†’0𝑝(π‘₯) does not exist, since there is no single value that𝑝(π‘₯) approaches as π‘₯ approaches 0 from both sides.

(d) No matter what the value of𝑑 is, 𝑑2β‰₯ 0. So for all 𝑑, 𝑝(𝑑2) = (𝑑2)3+ 1 = 𝑑6+ 1. So as 𝑑 approaches 0 from either side,

72. Evaluating the expression at β„Ž = 0, we arrive at 0βˆ•0. Rewriting the expression using algebra gives limβ„Žβ†’0

(4 + β„Ž)2βˆ’ 42

β„Ž = lim

β„Žβ†’0

(16 + 8β„Ž + β„Ž2) βˆ’ 16 β„Ž

= lim

β„Žβ†’0

8β„Ž + β„Ž2 β„Ž

= lim

β„Žβ†’0

β„Ž(8 + β„Ž) β„Ž

and sinceβ„Ž β‰  0, canceling the common factor of β„Ž, we have

= lim

β„Žβ†’0(8 + β„Ž)

= 8.

PROBLEMS

73. (a) More fertilizer increases the yield until about 40 lbs.; then it is too much and ruins crops, lowering yield.

(b) The vertical intercept is atπ‘Œ = 200. If there is no fertilizer, then the yield is 200 bushels.

(c) The horizontal intercept is atπ‘Ž = 80. If you use 80 lbs. of fertilizer, then you will grow no apples at all.

(d) The range is the set of values ofπ‘Œ attainable over the domain 0 ≀ π‘Ž ≀ 80. Looking at the graph, we can see that π‘Œ goes as high as 550 and as low as 0. So the range is 0≀ π‘Œ ≀ 550.

(e) Looking at the graph, we can see thatπ‘Œ is decreasing near π‘Ž = 60.

(f) Looking at the graph, we can see thatπ‘Œ is concave down everywhere, so it is certainly concave down near π‘Ž = 40.

74. (a) Given the two points (0, 32) and (100, 212), and assuming the graph in Figure 1.148 is a line, Slope =212 βˆ’ 32

100 = 180 100= 1.8.

50 100 150 200 250 100

200 300 400 500

 Freezing point of water Boiling point of water

β—¦C

β—¦F

Figure 1.148

(b) Theβ—¦F-intercept is (0, 32), so

β—¦F = 1.8(β—¦C) + 32. (c) If the temperature is 20β—¦Celsius, then

β—¦F = 1.8(20) + 32 = 68β—¦F. (d) Ifβ—¦F =β—¦C, then

β—¦C = 1.8β—¦C + 32

βˆ’32 = 0.8β—¦C

β—¦C = βˆ’40β—¦=β—¦F. 75. (a) We have the following functions.

(i) Since a change in𝑝 of $5 results in a decrease in π‘ž of 2, the slope of π‘ž = 𝐷(𝑝) is βˆ’2βˆ•5 items per dollar. So π‘ž = 𝑏 βˆ’2

5 𝑝.

Now we know that when𝑝 = 550 we have π‘ž = 100, so 100 = 𝑏 βˆ’2

5 β‹…550 100 = 𝑏 βˆ’ 220

𝑏 = 320.

Thus a formula is

π‘ž = 320 βˆ’2 5 𝑝.

(ii) We can solveπ‘ž = 320 βˆ’25𝑝 for 𝑝 in terms of π‘ž:

5π‘ž = 1600 βˆ’ 2𝑝 2𝑝 = 1600 βˆ’ 5π‘ž 𝑝 = 800 βˆ’5

2 π‘ž.

The slope of this function is βˆ’5βˆ•2 dollars per item, as we would expect.

(b) A graph of𝑝 = 800 βˆ’5

2 π‘žis given in Figure 1.149.

100 320

550 800

π‘ž (items) 𝑝 (dollars)

Figure 1.149 76. See Figure 1.150.

𝑑 (time) 𝑑 (distance)

Figure 1.150

77. (a) (i) If the atoms are moved farther apart, then π‘Ÿ > π‘Ž so, from the graph, 𝐹 is negative, indicating an attractive force, which pulls the atoms back together.

(ii) If the atoms are moved closer together, thenπ‘Ÿ < π‘Ž so, from the graph, 𝐹 is positive, indicating an attractive force, which pushes the atoms apart again.

(b) Atπ‘Ÿ = π‘Ž, the force is zero. The answer to part (a)(i) tells us that if the atoms are pulled apart slightly, so π‘Ÿ > π‘Ž, the force tends to pull them back together; the answer to part (a)(ii) tells us that if the atoms are pushed together, soπ‘Ÿ < π‘Ž, the force tends to push them back apart. Thus,π‘Ÿ = π‘Ž is a stable equilibrium.

78. If the pressure at sea level is 𝑃0, the pressure𝑃 at altitude β„Ž is given by 𝑃 = 𝑃0

(1 βˆ’ 0.4 100

)β„Žβˆ•100

,

since we want the pressure to be multiplied by a factor of (1 βˆ’ 0.4βˆ•100) = 0.996 for each 100 feet we go up to make it decrease by 0.4% over that interval. At Mexico Cityβ„Ž = 7340, so the pressure is

𝑃 = 𝑃0(0.996)7340βˆ•100β‰ˆ 0.745𝑃0. So the pressure is reduced from𝑃0to approximately 0.745𝑃0, a decrease of 25.5%.

79. Assuming the population of Ukraine is declining exponentially, we have population 𝑃 (𝑑) = 46.01π‘’π‘˜π‘‘at time𝑑 years after 2010. Using the 2014 population, we have

45.43 = 46.01π‘’βˆ’π‘˜β‹…4 π‘˜ = βˆ’1

4ln( 45.43 46.01

)= 0.00317.

We want to find the time𝑑 at which

44 = 46.01π‘’βˆ’0.00317𝑑 𝑑 = βˆ’ln(44βˆ•46.01)

0.00317 = 14.09 years.

This model predicts the population to go below 44 million 14.09 years after 2010, in the year 2024.

80. (a) We compound the daily inflation rate 30 times to get the desired monthly rate π‘Ÿ:

(1 + π‘Ÿ 100

)1

=( 1 + 0.67

100 )30

= 1.2218.

Solving forπ‘Ÿ, we get π‘Ÿ = 22.18, so the inflation rate for April was 22.18%.

(b) We compound the daily inflation rate 365 times to get a yearly rate𝑅 for 2006:

(1 + 𝑅 100

)1

=( 1 + 0.67

100 )365

= 11.4426.

Solving for𝑅, we get 𝑅 = 1044.26, so the yearly rate was 1044.26% during 2006. We could have obtained approxi-mately the same result by compounding the monthly rate 12 times. Computing the annual rate from the monthly gives a lower result, because 12 months of 30 days each is only 360 days.

81. (a) The US consumption of hydroelectric power increased by at least 20% in 2011 and decreased by at least 10% in 2012, relative to each corresponding previous year. .

(b) False. In 2012 hydroelectric power consumption increased only by 22.1% over consumption in 2011.

(c) True. From 2011 to 2012 consumption decreased by 15.2%, which means π‘₯(1 βˆ’ 0.152) units of hydroelectric power were consumed in 2012 ifπ‘₯ had been consumed in 2011. Similarly,

(π‘₯(1 βˆ’ 0.152)(1 βˆ’ 0.025)

units of hydroelectric power were consumed in 2013 ifπ‘₯ had been consumed in 2012, and (π‘₯(1 βˆ’ 0.152)(1 βˆ’ 0.025)(1 βˆ’ 0.036)

units of hydroelectric power were consumed in 2014 ifπ‘₯ had been consumed in 2013. Since π‘₯(1 βˆ’ 0.152)(1 βˆ’ 0.025)(1 βˆ’ 0.036) = π‘₯(0.797) = π‘₯(1 βˆ’ 0.203),

the percent growth in hydroelectric power consumption was βˆ’20.3%, in 2014 relative to consumption in 2011. This amounts to about 20% decrease in hydroelectric power consumption from 2011 to 2014.

82. (a) For each 2.2 pounds of weight the object has, it has 1 kilogram of mass, so the conversion formula is π‘˜ = 𝑓(𝑝) = 1

2.2𝑝.

(b) The inverse function is

𝑝 = 2.2π‘˜,

and it gives the weight of an object in pounds as a function of its mass in kilograms.

83. Since 𝑓(π‘₯) is a parabola that opens upward, we have 𝑓(π‘₯) = π‘Žπ‘₯2+ 𝑏π‘₯ + 𝑐 with π‘Ž > 0. Since 𝑔(π‘₯) is a line with negative slope,𝑔(π‘₯) = 𝑏 + π‘šπ‘₯, with slope π‘š < 0. Therefore

𝑔(𝑓(π‘₯)) = 𝑏 + π‘š(π‘Žπ‘₯2+ 𝑏π‘₯ + 𝑐) = π‘šπ‘Žπ‘₯2+ π‘šπ‘π‘₯ + π‘šπ‘ + 𝑏.

The coefficient ofπ‘₯2isπ‘šπ‘Ž, which is negative. Thus, the graph is a parabola opening downward.

84. (a) is 𝑔(π‘₯) since it is linear. (b) is 𝑓(π‘₯) since it has decreasing slope; the slope starts out about 1 and then decreases to about

1

10. (c) isβ„Ž(π‘₯) since it has increasing slope; the slope starts out about101 and then increases to about 1.

85. Given the doubling time of 2 hours, 200 = 100π‘’π‘˜(2), we can solve for the growth rateπ‘˜ using the equation:

2𝑃0= 𝑃0𝑒2π‘˜ ln 2 = 2π‘˜

π‘˜ =ln 2 2 . Using the growth rate, we wish to solve for the time𝑑 in the formula

𝑃 = 100𝑒ln 22𝑑 where𝑃 = 3,200, so

3,200 = 100𝑒ln 22𝑑 𝑑 = 10 hours.

86. (a) The 𝑦-intercept of 𝑓(π‘₯) = π‘Ž ln(π‘₯ + 2) is 𝑓(0) = π‘Ž ln 2. Since ln 2 is positive, increasing π‘Ž increases the 𝑦-intercept.

(b) Theπ‘₯-intercept of 𝑓(π‘₯) = π‘Ž ln(π‘₯ + 2) is where 𝑓(π‘₯) = 0. Since this occurs where π‘₯ + 2 = 1, so π‘₯ = βˆ’1, increasing π‘Ž does not affect theπ‘₯-intercept.

87. Since the factor by which the prices have increased after time 𝑑 is given by (1.05)𝑑, the time after which the prices have doubled solves

2 = (1.05)𝑑

log 2 = log(1.05𝑑) = 𝑑 log(1.05) 𝑑 = log 2

log 1.05 β‰ˆ 14.21 years.

88. Using the exponential decay equation 𝑃 = 𝑃0π‘’βˆ’π‘˜π‘‘, we can solve for the substance’s decay constantπ‘˜:

(𝑃0βˆ’ 0.3𝑃0) = 𝑃0π‘’βˆ’20π‘˜ π‘˜ =ln(0.7)

βˆ’20 . Knowing this decay constant, we can solve for the half-life𝑑 using the formula

0.5𝑃0= 𝑃0𝑒ln(0.7)π‘‘βˆ•20

𝑑 = 20 ln(0.5)

ln(0.7) β‰ˆ 38.87 hours.

89. (a) We know the decay follows the equation

𝑃 = 𝑃0π‘’βˆ’π‘˜π‘‘,

and that 10% of the pollution is removed after 5 hours (meaning that 90% is left). Therefore, 0.90𝑃0 = 𝑃0π‘’βˆ’5π‘˜

π‘˜ = βˆ’1 5ln(0.90).

Thus, after 10 hours:

𝑃 = 𝑃0π‘’βˆ’10((βˆ’0.2) ln 0.90)

𝑃 = 𝑃0(0.9)2= 0.81𝑃0

so 81% of the original amount is left.

(b) We want to solve for the time when𝑃 = 0.50𝑃0:

0.50𝑃0= 𝑃0𝑒𝑑((0.2) ln 0.90)

0.50 = 𝑒ln(0.900.2𝑑) 0.50 = 0.900.2𝑑

𝑑 = 5 ln(0.50)

ln(0.90) β‰ˆ 32.9 hours.

(c)

5 10 32.9

𝑃0

𝑑 𝑃

(d) When highly polluted air is filtered, there is more pollutant per liter of air to remove. If a fixed amount of air is cleaned every day, there is a higher amount of pollutant removed earlier in the process.

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