calculating the derivative - grosse pointe … 4.1 techniques for finding derivatives 243 40....
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Chapter 4
CALCULATING THE DERIVATIVE
4.1 Techniques for FindingDerivatives
1. y = 12x3 ¡ 8x2 + 7x+ 5dy
dx= 12(3x3¡1)¡ 8(2x2¡1) + 7x1¡1 + 0= 36x2 ¡ 16x+ 7
2. y = 8x3 ¡ 5x2 ¡ x
12
dy
dx= 8(3x3¡1)¡ 5(2x2¡1)¡ 1
12x1¡1
= 24x2 ¡ 10x¡ 1
12
3. y = 3x4 ¡ 6x3 + x2
8+ 5
dy
dx= 3(4x4¡1)¡ 6(3x3¡1) + 1
8(2x2¡1) + 0
= 12x3 ¡ 18x2 + 14x
4. y = 5x4 + 9x3 + 12x2 ¡ 7xdy
dx= 5(4x4¡1) + 9(3x3¡1)
+ 12(2x2¡1)¡ 7(x1¡1)= 20x3 + 27x2 + 24x¡ 7
5. y = 6x3:5 ¡ 10x0:5dy
dx= 6(3:5x3:5¡1)¡ 10(0:5x0:5¡1)= 21x2:5 ¡ 5x¡0:5 or 21x2:5 ¡ 5
x0:5
6. f(x) = ¡2x1:5 + 12x0:5f 0(x) = ¡2(1:5x1:5¡1) + 12(0:5x0:5¡1)
= ¡3x0:5 + 6x¡0:5 or ¡ 3x0:5 + 6
x0:5
7. y = 8px+ 6x3=4
= 8x1=2 + 6x3=4
dy
dx= 8
μ1
2x1=2¡1
¶+ 6
μ3
4x3=4¡1
¶
= 4x¡1=2 +9
2x¡1=4
or4
x1=2+
9
2x1=4
8. y = ¡100px¡ 11x2=3= ¡100x1=2 ¡ 11x2=3
dy
dx= ¡100
μ1
2x1=2¡1
¶¡ 11
μ2
3x2=3¡1
¶
= ¡50x¡1=2 ¡ 22x¡1=3
3or¡50x1=2
¡ 22
3x1=3
9. g(x) = 6x¡5 ¡ x¡1g0(x) = 6(¡5)x¡5¡1 ¡ (¡1)x¡1¡1
= ¡30x¡6 + x¡2
or¡30x6
+1
x2
10. y = 10x¡3 + 5x¡4 ¡ 8xdy
dx= 10(¡3x¡3¡1) + 5(¡4x¡4¡1)¡ 8x1¡1
= ¡30x¡4 ¡ 20x¡5 ¡ 8 or ¡30x4
¡ 20x5¡ 8
11. y = 5x¡5 ¡ 6x¡2 + 13x¡1dy
dx= 5(¡5x¡5¡1)¡ 6(¡2x¡2¡1) + 13(¡1x¡1¡1)= ¡25x¡6 + 12x¡3 ¡ 13x¡2
or¡25x6
+12
x3¡ 13x2
12. f(t) =7
t¡ 5
t3
= 7t¡1 ¡ 5t¡3f 0(t) = 7(¡1t¡1¡1)¡ 5(¡3t¡3¡1)
= ¡7t¡2 + 15t¡4 or ¡7t2+15
t4
13. f(t) =14
t+12
t4+p2
= 14t¡1 + 12t¡4 +p2
f 0(t) = 14(¡1t¡1¡1) + 12(¡4t¡4¡1) + 0= ¡14t¡2 ¡ 48t¡5 or ¡14
t2¡ 48t5 239
240 Chapter 4 CALCULATING THE DERIVATIVE
14. y =6
x4¡ 7
x3+3
x+p5
= 6x¡4 ¡ 7x¡3 + 3x¡1 +p5dy
dx= 6(¡4x¡4¡1)¡ 7(¡3x¡3¡1) + 3(¡1x¡1¡1) + 0= ¡24x¡5 + 21x¡4 ¡ 3x¡2
or¡24x5
+21
x4¡ 3
x2
15. y =3
x6+1
x5¡ 7
x2
= 3x¡6 + x¡5 ¡ 7x¡2dy
dx= 3(¡6x¡7) + (¡5x¡6)¡ 7(¡2x¡3)= ¡18x¡7 ¡ 5x¡6 + 14x¡3
or¡18x7
¡ 5
x6+14
x3
16. p(x) = ¡10x¡1=2 + 8x¡3=2
p0(x) = ¡10μ¡12x¡3=2
¶+ 8
μ¡32x¡5=2
¶
= 5x¡3=2 ¡ 12x¡5=2
or5
x3=2¡ 12
x5=2
17. h(x) = x¡1=2 ¡ 14x¡3=2
h0(x) = ¡12x¡3=2 ¡ 14
μ¡32x¡5=2
¶
=¡x¡3=22
+ 21x¡5=2
or¡12x3=2
+21
x5=2
18. y =6
4px= 6x¡1=4
dy
dx= 6
μ¡14
¶x¡5=4
= ¡32x¡5=4
or¡32x5=4
19. y =¡23px
=¡2x1=3
= ¡2x¡1=3
dy
dx= ¡2
μ¡13x¡4=3
¶
=2x¡4=3
3or
2
3x4=3
20. f(x) =x3 + 5
x
= x2 + 5x¡1
f 0(x) = 2x2¡1 + 5(¡1x¡1¡1)= 2x¡ 5x¡2
or 2x¡ 5
x2
21. g(x) =x3 ¡ 4xp
x
=x3 ¡ 4xx1=2
= x5=2 ¡ 4x1=2
g0(x) =5
2x5=2¡1 ¡ 4
μ1
2x1=2¡1
¶
=5
2x3=2 ¡ 2x¡1=2
or5
2x3=2 ¡ 2p
x
22. g(x) = (8x2 ¡ 4x)2= 64x4 ¡ 64x3 + 16x2
g0(x) = 64(4x4¡1)¡ 64(3x3¡1) + 16(2x2¡1)= 256x3 ¡ 192x2 + 32x
23. h(x) = (x2 ¡ 1)3= x6 ¡ 3x4 + 3x2 ¡ 1
h0(x) = 6x6¡1 ¡ 3(4x4¡1) + 3(2x2¡1)¡ 0= 6x5 ¡ 12x3 + 6x
24. A quadratic function has degree 2.When the derivative is taken, the power will de-crease by 1 and the derivative function will be lin-ear, so the correct choice is (b).
26.d
dx(4x3 ¡ 6x¡2)
= 4(3x2)¡ 6(¡2x¡3)= 12x2 + 12x¡3
= 12x2 +12
x3choice (c)
=12x2(x3) + 12
x3
=12x5 + 12
x3choice (b)
Neither choice (a) nor choice (d) equals
d
dx(4x3 ¡ 6x¡2):
Section 4.1 Techniques for Finding Derivatives 241
27. Dx
·9x¡1=2 +
2
x3=2
¸
= Dx[9x¡1=2 + 2x¡3=2]
= 9
μ¡12x¡3=2
¶+ 2
μ¡32x¡5=2
¶
= ¡92x¡3=2 ¡ 3x¡5=2
or¡92x3=2
¡ 3
x5=2
28. Dx
·84px¡ 3p
x3
¸
= Dx [8x¡1=4 ¡ 3x¡3=2]
= 8
μ¡14x¡5=4
¶¡ 3
μ¡32x¡5=2
¶
= ¡2x¡5=4 + 9x¡5=2
2
or¡2x5=4
+9
2x5=2
29. f(x) =x4
6¡ 3x
=1
6x4 ¡ 3x
f 0(x) =1
6(4x3)¡ 3
=2
3x3 ¡ 3
f 0(¡2) = 2
3(¡2)3 ¡ 3
= ¡163¡ 3
= ¡253
30. f(x) =x3
9¡ 7x2
=1
9x3 ¡ 7x2
f 0(x) =1
9(3x2)¡ 7(2x)
=1
3x2 ¡ 14x
f 0(3) =1
3(3)2 ¡ 14(3)
= 3¡ 42 = ¡39
31. y = x4 ¡ 5x3 + 2; x = 2y0 = 4x3 ¡ 15x2
y0(2) = 4(2)3 ¡ 15(2)2= ¡28
The slope of tangent line at x = 2 is ¡28:Use m = ¡28 and (x1; _y1) = (2;¡22) to obtainthe equation.
y ¡ (¡22) = ¡28(x¡ 2)y = ¡28x+ 34
32. y = ¡3x5 ¡ 8x3 + 4x2y0 = ¡3(5x4)¡ 8(3x2) + 4(2x)= ¡15x4 ¡ 24x2 + 8x
y0(1) = ¡15(1)4 ¡ 24(1)2 + 8(1)= ¡15(1)4 ¡ 24(1)2 + 8(1)= ¡15¡ 24 + 8= ¡31
y(1) = ¡3(1)5 ¡ 8(1)3 + 4(1)2 = ¡7
The slope of the tangent line at x = 1 is ¡31:Use m = ¡31 and (x1; y1) = (1;¡7) to obtain theequation.
y ¡ (¡7) = ¡31(x¡ 1)y + 7 = ¡31x+ 31
y = ¡31x+ 24
33. y = ¡2x1=2 + x3=2
y0 = ¡2μ1
2x¡1=2
¶+3
2x1=2
= ¡x¡1=2 + 32x1=2
= ¡ 1
x1=2+3x1=2
2
y0(9) = ¡ 1
(9)1=2+3(9)1=2
2
= ¡13+9
2
=25
6
The slope of the tangent line at x = 9 is 256 :
242 Chapter 4 CALCULATING THE DERIVATIVE
34. y = ¡x¡3 + x¡2y0 = ¡(¡3x¡4) + (¡2x¡3)= 3x¡4 ¡ 2x¡3
=3
x4¡ 2
x3
y0(2) =3
(2)4¡ 2
(2)3
=3
16¡ 28
= ¡ 1
16
The slope of the tangent line at x = 2 is ¡ 116 .
35. f(x) = 9x2 ¡ 8x+ 4f 0(x) = 18x¡ 8Let f 0(x) = 0 to …nd the point where the slope ofthe tangent line is zero.
18x¡ 8 = 018x = 8
x =8
18=4
9Find the y-coordinate.
f(x) = 9x2 ¡ 8x+ 4
f
μ4
9
¶= 9
μ4
9
¶2¡ 8
μ4
9
¶+ 4
= 9
μ16
81
¶¡ 329+ 4
=16
9¡ 329+36
9=20
9
The slope of the tangent line is zero at one point,¡49 ;
209
¢.
36. f(x) = x3 + 9x2 + 19x¡ 10f 0(x) = 3x2 + 18x+ 19
If the slope of the tangent line is ¡5, then thef 0(x) = ¡5:3x2 + 18x+ 19 = ¡53x2 + 18x+ 24 = 0
3(x2 + 6x+ 8) = 0
3(x+ 2)(x+ 4) = 0
x = ¡2 or x = ¡4f(¡2) = (¡2)3 + 9(¡2)2 + 19(¡2)¡ 10
= ¡8 + 36¡ 38¡ 10= ¡20
f(¡4) = (¡4)3 + 9(¡4)2 + 19(¡4)¡ 10= ¡64 + 144¡ 76¡ 10= ¡6
Thus, the points where the slope of the tangentline is ¡5 are (¡2;¡20) and (¡4;¡6):
37. f(x) = 2x3 + 9x2 ¡ 60x+ 4f 0(x) = 6x2 + 18x¡ 60If the tangent line is horizontal, then its slope iszero and f 0(x) = 0:
6x2 + 18x¡ 60 = 06(x2 + 3x¡ 10) = 06(x+ 5)(x¡ 2) = 0x = ¡5 or x = 2
Thus, the tangent line is horizontal at x = ¡5 andx = 2:
38. f(x) = x3 + 15x2 + 63x¡ 10f 0(x) = 3x2 + 30x+ 63
If the tangent line is horizontal, then its slope iszero and f 0(x) = 0:
3x2 + 30x+ 63 = 0
3(x2 + 10x+ 21) = 0
3(x+ 3)(x+ 7) = 0
x = ¡3 or x = ¡7
Therefore, the tangent line is horizontal at x = ¡3or x = ¡7:
39. f(x) = x3 ¡ 4x2 ¡ 7x+ 8f 0(x) = 3x2 ¡ 8x¡ 7If the tangent line is horizontal, then its slope iszero and f 0(x) = 0:
3x2 ¡ 8x¡ 7 = 0
x =8§p64 + 84
6
x =8§p148
6
x =8§ 2p37
6
x =2(4§p37)
6
x =4§p37
3
Thus, the tangent line is horizontal at x = 4§p373 :
Section 4.1 Techniques for Finding Derivatives 243
40. f(x) = x3 ¡ 5x2 + 6x+ 3f 0(x) = 3x2 ¡ 10x+ 6If the tangent line is horizontal, then its slope iszero and f 0(x) = 0:
3x2 ¡ 10x+ 6 = 0
x =10§p100¡ 72
6
x =10§p28
6
x =10§ 2p7
6
x =5§p73
The tangent line is horizontal at x = 5§p73 :
41. f(x) = 6x2 + 4x¡ 9f 0(x) = 12x+ 4
If the slope of the tangent line is ¡2; f 0(x) = ¡2:12x+ 4 = ¡2
12x = ¡6
x = ¡12
f
μ¡12
¶= ¡19
2
The slope of the tangent line is ¡2 at ¡¡12 ;¡19
2
¢:
42. f(x) = 2x3 ¡ 9x2 ¡ 12x+ 5f 0(x) = 6x2 ¡ 18x¡ 12If the slope of the tangent line is 12, f 0(x) = 12:
6x2 ¡ 18x¡ 12 = 126x2 ¡ 18x¡ 24 = 06(x2 ¡ 3x¡ 4) = 06(x¡ 4)(x+ 1) = 0x = 4 or x = ¡1
f(4) = ¡59 and f(¡1) = 6The slope of the tangent line is ¡12 at (4;¡59)and (¡1; 6):
43. f(x) = x3 + 6x2 + 21x+ 2
f 0(x) = 3x2 + 12x+ 21
If the slope of the tangent line is 9, f 0(x) = 9:
3x2 + 12x+ 21 = 9
3x2 + 12x+ 12 = 0
3(x2 + 4x+ 4) = 0
3(x+ 2)2 = 0
x = ¡2f(¡2) = ¡24
The slope of the tangent line is 9 at (¡2;¡24):44. f(x) = 3g(x)¡ 2h(x) + 3
f 0(x) = 3g0(x)¡ 2h0(x)f 0(5) = 3g0(5)¡ 2h0(5)
= 3(12)¡ 2(¡3) = 42
45. f(x) =1
2g(x) +
1
4h(x)
f 0(x) =1
2g0(x) +
1
4h0(x)
f 0(2) =1
2g0(2) +
1
4h0(2)
=1
2(7) +
1
4(14) = 7
46. (a) From the graph, f(1) = 2; because the curvegoes through (1; 2):
(b) f 0(1) gives the slope of the tangent line to fat 1. The line goes through (¡1; 1) and (1; 2):
m =2¡ 1
1¡ (¡1) =1
2;
sof 0(1) =
1
2:
(c) The domain of f is [¡1;1) because the x-coordinates of the points of f start at x = ¡1and continue in…nitely through the positive realnumbers.
(d) The range of f is [0;1) because the y-coordinatesof the points on f start at y = 0 and continue in-…nitely through the positive real numbers.
49.f(x)
k=1
k¢ f(x)
Use the rule for the derivative of a constant timesa function.
d
dx
·f(x)
k
¸=d
dx
·1
k¢ f(x)
¸
=1
kf 0(x)
=f 0(x)k
50. Graph the numerical derivative of
f(x) = 1:25x3 + 0:01x2 ¡ 2:9x+ 1for x ranging from ¡5 to 5.(a) When x = 4, the derivative equals 57.18.
(b) The derivative crosses the x-axis at approxi-mately ¡0:88 and 0:88.
244 Chapter 4 CALCULATING THE DERIVATIVE
51. The demand is given by q = 5000¡ 100p:Solve for p:
p =5000¡ q100
R(q) = q
μ5000¡ q100
¶
=5000q ¡ q2
100
R0(q) =5000¡ 2q100
(a) R0(1000) =5000¡ 2(1000)
100
= 30
(b) R0(2500) =5000¡ 2(2500)
100
= 0
(c) R0(3000) =5000¡ 2(3000)
100
= ¡1052. C(q) = 3000¡ 20q + 0:03q2
R(q) = qp = q
μ5000¡ q100
¶
= q³50¡ q
100
´(from Exercise 51)The pro…t equation is found as follows.
P = R¡C= q
³50¡ q
100
´¡ (3000¡ 20q + 0:03q2)
= 50q ¡ q2
100¡ 3000 + 20q ¡ 0:03q2
= 50q + 20q ¡ q2
100¡ 0:03q2 ¡ 3000
= 70q ¡ 0:01q2 ¡ 0:03q2 ¡ 3000Therefore, P = 70q ¡ 0:04q2 ¡ 3000:Now, the marginal pro…t is
P 0(q) = 70¡ 0:04(2q)¡ 0= 70¡ 0:08q:
(a) P 0(500) = 70¡ 0:08(500)= 70¡ 40= 30
(b) P 0(815) = 70¡ 0:08(815)= 70¡ 65:2= 4:8
(c) P 0(1000) = 70¡ 0:08(1000) = 70¡ 80 = ¡10
53. S(t) = 100¡ 100t¡1S0(t) = ¡100(¡1t¡2)
= 100t¡2
=100
t2
(a) S0(1) =100
(1)2=100
1= 100
(b) S0(10) =100
(10)2=100
100= 1
54. p(q) =1000
q2+ 1000
If R is the revenue function, R(q) = qp(q):
R(q) = q
μ1000
q2+ 1000
¶
R(q) = 1000q¡1 + 1000qR0(q) = ¡1000q¡2 + 1000
R0(q) = 1000¡ 1000q2
R0(q) = 1000μ1¡ 1
q2
¶
R0(10) = 1000μ1¡ 1
102
¶
R0(10) = 1000μ99
100
¶
= 990
The marginal revenue is $990.
55. Pro…t = Revenue ¡ CostP (q) = qp(q)¡C(q)
P (q) = q
μ1000
q2+ 1000
¶¡ (0:2q2 + 6q + 50)
=1000
q+ 1000q ¡ 0:2q2 ¡ 6q ¡ 50
= 1000q¡1 + 994q ¡ 0:2x2 ¡ 50P 0(q) = ¡1000q¡2 + 994¡ 0:4q
= 994¡ 0:4q ¡ 1000q2
P 0(10) = 994¡ 0:4(10)¡ 1000
(10)2
= 994¡ 4¡ 10= 980
The marginal pro…t is $980.
Section 4.1 Techniques for Finding Derivatives 245
56. C(x) = 2x; R(x) = 6x¡ x2
1000
(a) C0(x) = 2
(b) R0(x) = 6¡ 2x
1000= 6¡ x
500
(c) P (x) = R(x)¡C(x)
=
μ6x¡ x2
1000
¶¡ 2x
= 4x¡ x2
1000
P 0(x) = 4¡ 2x
1000= 4¡ x
500
(d) P 0(x) = 4¡ x
500= 0
4 =x
500
x = 2000
(e) Using part (d), we see that marginal pro…t is0 when x = 2000 units.
P (2000) = 4(2000)¡ (2000)2
1000
= 8000¡ 4000= 4000
The pro…t for 2000 units produced is $4000.
57. (a) 1982 when t = 50:
C(50) = 0:00875(50)2 ¡ 0:108(50) + 1:42= 17:895 ¼ 17:9 cents
2002 when t = 70:
C(70) = 0:00875(70)2 ¡ 0:108(70) + 1:42= 36:735 ¼ 36:7 cents
(b) C 0(t) = 0:00875(2t)¡ 0:108(1)= 0:0175t¡ 0:108
1982 when t = 50:
C 0(50) = 0:0175(50)¡ 0:108= 0:767 cents/year
2002 when t = 70:
C 0(70) = 0:0175(70)¡ 0:108¼ 1:12 cents/year
(c) Using a graphing calculator, a cubic functionthat models the data is
C(t) = (¡1:790£ 10¡4)t3 + 0:02947t2
¡ 0:7105t+ 3:291:
Using the values from the calculator, the rate ofchange in 1982 is C0(50) ¼ 0:894 cents/year.Using the values from the calculator, the rate ofchange in 2002 is C0(70) ¼ 0:784 cents/year.
58. M(t) = 3:044t3 ¡ 379:6t2 + 14,274.5t¡ 139,433
M 0(t) = 3:044(3t3¡1)¡ 379:6(2t2¡1)+ 14,274.5t1¡1 ¡ 0
= 9:132t2 ¡ 759:2t+ 14,274.5(a) 1920¡ 1900 = 20
M 0(20) ¼ 2743(b) 1960¡ 1900 = 60
M 0(60) ¼ 1598(c) 1980¡ 1900 = 80
M 0(80) ¼ 11,983(d) 2000¡ 1900 = 100
M 0(100) ¼ 29,675(e) The amount of money in circulation was
increasing at the rate of $2743 million/yearin 1920 but then began to decrease. Thedecrease of money continued through theearly 1950’s. Since then, the amount hasagain been increasing.
59. N(t) = 0:00437t3:2
N 0(t) = 0:013984t2:2
(a) N 0(5) ¼ 0:4824(b) N 0(10) ¼ 2:216
60. G(x) = ¡0:2x2 + 450(a) G(0) = ¡0:2(0)2 + 450 = 450(b) G(25) = ¡0:2(25)2 + 450
= ¡125 + 450= 325
G0(x) = ¡2(0:2)x = ¡0:4x(c) G0(10) = ¡0:4(10) = ¡4After 10 units of insulin are injected, the bloodsugar level is decreasing at a rate of 4 points perunit of insulin.
(d) G0(25) = ¡0:4(25)= ¡10
After 25 units of insulin are injected, the bloodsugar level is decreasing at a rate of 10 points perunit of insulin.
246 Chapter 4 CALCULATING THE DERIVATIVE
61. V (t) = ¡2159 + 1313t¡ 60:82t2
(a) V (3) = ¡2159 + 1313(3)¡ 60:82(3)2= 1232.62 cm3
(b) V 0(t) = 1313¡ 121:64tV 0(3) = 1313¡ 121:64(3)
= 948:08 cm3/yr
62. w(c) =c3
100¡ 1500
c
(a) When c = 30; w = 220 g or 0.22 kg.
(b)dw
dc=3c2
100+1500c2
When c = 30; dwdc = 2823 g/cm. When the cir-cumference of the brain is 30 cm, it is increasingby 2823 g with every centimeter the circumferenceincreases.
63. v = 2:69l1:86
dv
dl= (1:86)2:69l1:86¡1 ¼ 5:00l0:86
64. l(x) = ¡2:318 + 0:2356x¡ 0:002674x2
(a) The problem states that a fetus this formulaconcerns is at least 18 weeks old. So, the minimumx value should be 18. Considering the gestationtime of a cow in general, a meaninful range forthis funcion is 18 · x · 44:(b) l0(x) = 0:2356¡ (2)0:002674x
= 0:2356¡ 0:005348x
(c) l0(25) = 0:2356¡ 0:005348(25)= 0:1019 cm/week
65. t = 0:0588s1:125
(a)When s = 1609; t ¼ 238:1 seconds, or 3 minutes,58.1 seconds.
(b)dt
ds= 0:0588(1:125s1:125¡1)
= 0:06615s0:125
When s = 100; dtds ¼ 0:118 sec/m. At 100 meters,the fastest possible time increases by 0.118 sec-onds for each additional meter.
(c) Yes, they have been surpassed. In 2000, theworld record in the mile stood at 3:43.13. (Ref:www.runnersworld.com)
66. V = C(R0 ¡R)R2= CR0R
2 ¡CR3dV
dR= 2CR0R¡ 3CR2 = 0
CR(2R0 ¡ 3R) = 0CR = 0 or 2R0 ¡ 3R = 0
R = 0 R =2
3R0
Discard R = 0, since a closed windpipe producesno air‡ow. Velocity is maximized when R = 2
3R0.
67. BMI =703w
h2
(a) 60200 = 74 in.
BMI =703(220)
742¼ 28
(b) BMI =703w
742= 24:9 implies
w =24:9(74)2
703¼ 194:
A 220-lb person needs to lose 26 pounds to getdown to 194 lbs.
(c) If f(h) =703(125)
h2= 87,875h¡2, then
f 0(h) = 87,875(¡2h¡2¡1)= ¡175,750h¡3 = ¡175,750
h3
(d) f 0(65) = ¡175,750653
¼ ¡0:64
For a 125-lb female with a height of 65 in. (50500),the BMI decreases by 0.64 for each additional inchof height.
(e) Sample Chart
ht=wt 140 160 180 200
60 27 31 35 3965 23 27 30 3370 20 23 26 2975 17 20 22 25
68. s(t) = 11t2 + 4t+ 2
(a) v(t) = s0(t) = 22t+ 4
(b) v(0) = 22(0) + 4 = 4
v(5) = 22(5) + 4 = 114
v(10) = 22(10) + 4 = 224
Section 4.1 Techniques for Finding Derivatives 247
69. s(t) = 18t2 ¡ 13t+ 8(a) v(t) = s0(t) = 18(2t)¡ 13 + 0
= 36t¡ 13(b) v(0) = 36(0)¡ 13 = ¡13
v(5) = 36(5)¡ 13 = 167v(10) = 36(10)¡ 13 = 347
70. s(t) = 4t3 + 8t2 + t
(a) v(t) = s0(t) = 4(3t2) + 8(2t) + 1= 12t2 + 16t+ 1
(b) v(0) = 12(0)2 + 16(0) + 1 = 1
v(5) = 12(5)2 + 16(5) + 1
= 300 + 80 + 1 = 381
v(10) = 12(10)2 + 16(10) + 1
= 1200 + 160 + 1 = 1361
71. s(t) = ¡3t3 + 4t2 ¡ 10t+ 5(a) v(t) = s0(t) = ¡3(3t2) + 4(2t)¡ 10 + 0
= ¡9t2 + 8t¡ 10(b) v(0) = ¡9(0)2 + 8(0)¡ 10 = ¡10
v(5) = ¡9(5)2 + 8(5)¡ 10= ¡225 + 40¡ 10 = ¡195
v(10) = ¡9(10)2 + 8(10)¡ 10= ¡900 + 80¡ 10 = ¡830
72. s(t) = ¡16t2 + 144velocity = s0(t)
= ¡32t(a) s0(1) = ¡32 ¢ 1 = ¡32
s0(2) = ¡32 ¢ 2= ¡64
The rock’s velocity is ¡32 ft/sec after 1 secondand ¡64 ft/sec after 2 seconds.(b) The rock will hit the ground when s(t) = 0:
¡16t2 + 144 = 0
t =
r144
16
= 3
The rock will hit the ground after 3 seconds.
(c) The velocity at impact is the velocity at 3seconds.
s0(3) = ¡32 ¢ 3= ¡96
Its velocity on impact is ¡96 ft/sec.
73. s(t) = ¡16t2 + 64t
(a) v(t) = s0(t) = ¡16(2t) + 64= ¡32t+ 64
v(2) = ¡32(2) + 64 = ¡64 + 64 = 0v(3) = ¡32(3) + 64 = ¡96 + 64 = ¡32
The ball’s velocity is 0 ft/sec after 2 seconds and¡32 ft/sec after 3 seconds.
(b) As the ball travels upward, its speed decreasesbecause of the force of gravity until, at maximumheight, its speed is 0 ft/sec.In part (a), we found that v(2) = 0:
It takes 2 seconds for the ball to reach its maxi-mum height.
(c) s(2) = ¡16(2)2 + 64(2)= ¡16(4) + 128= ¡64 + 128= 64
It will go 64 ft high.
74. (a) d(x) = 1:66¡ 0:90x+ 0:47x2d(0:5) = 1:66¡ 0:90(0:5) + 0:47(0:5)2
= 1:3275 g/cm3
(b) d0(x) = ¡0:90 + 0:47(2x)= ¡0:90 + 0:94x
d0(0:5) = ¡0:90 + 0:94(0:5)= ¡0:43 g/cm3
When the level of the Dead Sea decreases to 50%of the current level, the density of the brine isdecreasing at the rate of 0.43 gram per cm3.
75. y1 = 4:13x+ 14:63y2 = ¡0:033x2 + 4:647x+ 13:347(a) When x = 5; y1 ¼ 35 and y2 ¼ 36.
(b)dy1dx
= 4:13
dy2dx
= 0:033(2x) + 4:647
= ¡0:066x+ 4:647
When x = 5; dy1dx = 4:13 and dy2dx ¼ 4:32. These
values are fairly close and represent the rate ofchange of four years for a dog for one year of ahuman, for a dog that is actually 5 years old.
248 Chapter 4 CALCULATING THE DERIVATIVE
(c)With the …rst three points eliminated, the dogage increases in 2-year steps and the human ageincreases in 8-year steps, for a slope of 4. Theequation has the form y = 4x + b. A value of16 for b makes the numbers come out right. y =4x+ b. For a dog of age x = 5 years or more, theequivalent human age is given by y = 4x+ 16.
4.2 Derivatives of Products andQuotients
1. y = (3x2 + 2)(2x¡ 1)dy
dx= (3x2 + 2)(2) + (2x¡ 1)(6x)= 6x2 + 4+ 12x2 ¡ 6x= 18x2 ¡ 6x+ 4
2. y = (5x2 ¡ 1)(4x+ 3)dy
dx= (5x2 ¡ 1)(4) + (10x)(4x+ 3)= 20x2 ¡ 4 + 40x2 + 30x= 60x2 + 30x¡ 4
3. y = (2x¡ 5)2
= (2x¡ 5)(2x¡ 5)dy
dx= (2x¡ 5)(2) + (2x¡ 5)(2)= 4x¡ 10 + 4x¡ 10= 8x¡ 20
4. y = (7x¡ 6)2= (7x¡ 6)(7x¡ 6)
dy
dx= (7x¡ 6)(7) + (7)(7x¡ 6)= 49x¡ 42 + 49x¡ 42= 98x¡ 84
5. k(t) = (t2 ¡ 1)2 = (t2 ¡ 1)(t2 ¡ 1)k0(t) = (t2 ¡ 1)(2t) + (t2 ¡ 1)(2t)
= 2t3 ¡ 2t+ 2t3 ¡ 2t= 4t3 ¡ 4t
6. g(t) = (3t2 + 2)2
= (3t2 + 2)(3t2 + 2)
g0(t) = (3t2 + 2)(6t) + (6t)(3t2 + 2)= 18t3 + 12t+ 18t3 + 12t
= 36t3 + 24t
7. y = (x+ 1)(px+ 2)
= (x+ 1)(x1=2 + 2)
dy
dx= (x+ 1)
μ1
2x¡1=2
¶+ (x1=2 + 2)(1)
=1
2x1=2 +
1
2x¡1=2 + x1=2 + 2
=3
2x1=2 +
1
2x¡1=2 + 2
or3x1=2
2+
1
2x1=2+ 2
8. y = (2x¡ 3)(px¡ 1)= (2x¡ 3)(x1=2 ¡ 1)
dy
dx= (2x¡ 3)
μ1
2x¡1=2
¶+ 2(x1=2 ¡ 1)
= x1=2 ¡ 32x¡1=2 + 2x1=2 ¡ 2
= 3x1=2 ¡ 3x¡1=2
2¡ 2
or 3x1=2 ¡ 3
2x1=2¡ 2
9. p(y) = (y¡1 + y¡2)(2y¡3 ¡ 5y¡4)p0(y) = (y¡1 + y¡2)(¡6y¡4 + 20y¡5)
+ (¡y2 ¡ 2y¡3)(2y¡3 ¡ 5y¡4)= ¡6y¡5 + 20y¡6 ¡ 6y¡6 + 20y¡7
¡ 2y¡5 + 5y¡6 ¡ 4y¡6 + 10y¡7= ¡8y¡5 + 15y¡6 + 30y¡7
10. q(x) = (x¡2 ¡ x¡3)(3x¡1 + 4x¡4)q0(x) = (x¡2 ¡ x¡3)(¡3x¡2 ¡ 16x¡5)
+ (¡2x¡3 + 3x¡4)(3x¡1 + 4x¡4)q0(x) = ¡3x¡4 ¡ 16x¡7 + 3x¡5 + 16x¡8 ¡ 6x¡4
¡ 8x¡7 + 9x¡5 + 12x¡8q0(x) = ¡9x¡4 + 12x¡5 ¡ 24x¡7 + 28x¡8
11. f(x) =6x+ 1
3x+ 10
f 0(x) =(3x+ 10)(6)¡ (6x+ 1)(3)
(3x+ 10)2
=18x+ 60¡ 18x¡ 3
(3x+ 10)2
=57
(3x+ 10)2
Section 4.2 Derivatives of Products and Quotients 249
12. f(x) =8x¡ 117x+ 3
f 0(x) =(7x+ 3)(8)¡ (8x¡ 11)(7)
(7x+ 3)2
=56x+ 24¡ 56x+ 77
(7x+ 3)2
=101
(7x+ 3)2
13. y =5¡ 3t4 + t
dy
dx=(4 + t)(¡3)¡ (5¡ 3t)(1)
(4 + t)2
=¡12¡ 3t¡ 5 + 3t
(4 + t)2
=¡17
(4 + t)2
14. y =9¡ 7t1¡ t
dy
dx=(1¡ t)(¡7)¡ (9¡ 7t)(¡1)
(1¡ t)2
=¡7 + 7t+ 9¡ 7t
(1¡ t)2
=2
(1¡ t)2
15. y =x2 + x
x¡ 1dy
dx=(x¡ 1)(2x+ 1)¡ (x2 + x)(1)
(x¡ 1)2
=2x2 + x¡ 2x¡ 1¡ x2 ¡ x
(x¡ 1)2
=x2 ¡ 2x¡ 1(x¡ 1)2
16. y =x2 ¡ 4xx+ 3
dy
dx=(x+ 3)(2x¡ 4)¡ (x2 ¡ 4x)(1)
(x+ 3)2
=2x2 + 6x¡ 4x¡ 12¡ x2 + 4x
(x+ 3)2
=x2 + 6x¡ 12(x+ 3)2
17. f(t) =4t2 + 11
t2 + 3
f 0(t) =(t2 + 3)(8t)¡ (4t2 + 11)(2t)
(t2 + 3)2
=8t3 + 24t¡ 8t3 ¡ 22t
(t2 + 3)2
=2t
(t2 + 3)2
18. y =¡x2 + 8x4x2 ¡ 5
dy
dx=(4x2 ¡ 5)(¡2x+ 8)¡ (¡x2 + 8x)(8x)
(4x2 ¡ 5)2=¡8x3 + 32x2 + 10x¡ 40 + 8x3 ¡ 64x2
(4x2 ¡ 5)2=¡32x2 + 10x¡ 40
(4x2 ¡ 5)2
19. g(x) =x2 ¡ 4x+ 2x2 + 3
g0(x) =(x2 + 3)(2x¡ 4)¡ (x2 ¡ 4x+ 2)(2x)
(x2 + 3)2
=2x3 ¡ 4x2 + 6x¡ 12¡ 2x3 + 8x2 ¡ 4x
(x2 + 3)2
=4x2 + 2x¡ 12(x2 + 3)2
20. k(x) =x2 + 7x¡ 2x2 ¡ 2
k0(x) =(x2 ¡ 2)(2x+ 7)¡ (x2 + 7x¡ 2)(2x)
(x2 ¡ 2)2
=2x3 + 7x2 ¡ 4x¡ 14¡ 2x3 ¡ 14x2 + 4x
(x2 ¡ 2)2
=¡7x2 ¡ 14(x2 ¡ 2)2
21. p(t) =
pt
t¡ 1
=t1=2
t¡ 1
p0(t) =(t¡ 1) ¡12 t¡1=2¢¡ t1=2(1)
(t¡ 1)2
=12 t1=2 ¡ 1
2 t¡1=2 ¡ t1=2
(t¡ 1)2
=¡12 t1=2 ¡ 1
2 t¡1=2
(t¡ 1)2
=¡pt2 ¡ 1
2pt
(t¡ 1)2 or¡t¡ 1
2pt(t¡ 1)2
250 Chapter 4 CALCULATING THE DERIVATIVE
22. r(t) =
pt
2t+ 3=
t1=2
2t+ 3
r0(t) =(2t+ 3)
¡12 t¡1=2¢¡ (t1=2)(2)
(2t+ 3)2=t1=2 + 3
2 t¡1=2 ¡ 2t1=2
(2t+ 3)2=¡t1=2 + 3
2t1=2
(2t+ 3)2=¡pt+ 3
2pt
(2t+ 3)2or
¡2t+ 32pt(2t+ 3)2
23. y =5x+ 6p
x=5x+ 6
x1=2
dy
dx=(x1=2)(5)¡ (5x+ 6) ¡12x¡1=2¢
(x1=2)2=5x1=2 ¡ 5
2x1=2 ¡ 3x¡1=2x
=52x
1=2 ¡ 3x¡1=2x
=
5px2 ¡ 3p
x
xor
5x¡ 62xpx
24. h(z) =z2:2
z3:2 + 5
h0(z) =(z3:2 + 5)(2:2z1:2)¡ z2:2(3:2z2:2)
(z3:2 + 5)2=2:2z4:4 + 11z1:2 ¡ 3:2z4:4
(z3:2 + 5)2=¡z4:4 + 11z1:2(z3:2 + 5)2
25. g(y) =y1:4 + 1
y2:5 + 2
g0(y) =(y2:5 + 2)(1:4y0:4)¡ (y1:4 + 1)(2:5y1:5)
(y2:5 + 2)2=1:4y2:9 + 2:8y0:4 ¡ 2:5y2:9 ¡ 2:5y1:5
(y2:5 + 2)2
=¡1:1y2:9 ¡ 2:5y1:5 + 2:8y0:4
(y2:5 + 2)2
26. f(x) =(3x2 + 1)(2x¡ 1)
5x+ 4
f 0(x) =(5x+ 4)[(3x2 + 1)(2) + (6x)(2x¡ 1)]¡ (3x2 + 1)(2x¡ 1)(5)
(5x+ 4)2
=(5x+ 4)(18x2 ¡ 6x+ 2)¡ (3x2 + 1)(10x¡ 5)
(5x+ 4)2
=90x3 ¡ 30x2 + 10x+ 72x2 ¡ 24x+ 8¡ 30x3 + 15x2 ¡ 10x+ 5
(5x+ 4)2
=60x3 + 57x2 ¡ 24x+ 13
(5x+ 4)2
27. g(x) =(2x2 + 3)(5x+ 2)
6x¡ 7g0(x) =
(6x¡ 7)[(2x2 + 3)(5) + (4x)(5x+ 2)]¡ (2x2 + 3)(5x+ 2)(6)(6x¡ 7)2
=(6x¡ 7)(30x2 + 8x+ 15)¡ (2x2 + 3)(30x+ 12)
(6x¡ 7)2
=180x3 + 48x2 + 90x¡ 210x2 ¡ 56x¡ 105¡ 60x3 ¡ 24x2 ¡ 90x¡ 36
(6x¡ 7)2
=120x3 ¡ 186x2 ¡ 56x¡ 141
(6x¡ 7)2
28. h(x) = f(x)g(x)
h0(x) = f(x)g0(x) + g(x)f 0(x)h0(3) = f(3)g0(3) + g(3)f 0(3) = 9(5) + 4(8) = 77
Section 4.2 Derivatives of Products and Quotients 251
29. h(x) =f(x)
g(x)
h0(x) =g(x)f 0(x)¡ f(x)g0(x)
[g(x)]2
h0(3) =g(3)f 0(3)¡ f(3)g0(3)
[g(3)]2=4(8)¡ 9(5)
42= ¡13
16
30. In the …rst step, the two terms in the numerator are reversed. The correct work follows.
Dx
μ2x+ 5
x2 ¡ 1¶
=(x2 ¡ 1)(2)¡ (2x+ 5)(2x)
(x2 ¡ 1)2
=2x2 ¡ 2¡ 4x2 ¡ 10x
(x2 ¡ 1)2
=¡2x2 ¡ 10x¡ 2(x2 ¡ 1)2
31. In the …rst step, the denominator, (x3)2 = x6; was omitted. The correct work follows.
Dx
μx2 ¡ 4x3
¶=x3(2x)¡ (x2 ¡ 4)(3x2)
(x3)2=2x4 ¡ 3x4 + 12x2
x6=¡x4 + 12x2
x6=x2(¡x2 + 12)x2(x4)
=¡x2 + 12x4
32. f(x) =x
x¡ 2 ; at (3; 3)
m = f 0(x) =(x¡ 2)(1)¡ x(1)
(x¡ 2)2 = ¡ 2
(x¡ 2)2
At (3; 3);
m = ¡ 2
(3¡ 2)2 = ¡2:
Use the point-slope form.
y ¡ 3 = ¡2(x¡ 3)y = ¡2x+ 9
33. (a) f(x) =3x3 + 6
x2=3
f 0(x) =(x2=3)(9x2)¡ (3x3 + 6)(23x¡1=3)
(x2=3)2=9x8=3 ¡ 2x8=3 ¡ 4x¡1=3
x4=3=7x8=3 ¡ 4
x1=3
x4=3=7x3 ¡ 4x5=3
(b) f(x) = 3x7=3 + 6x¡2=3
f 0(x) = 3μ7
3x4=3
¶+ 6
μ¡23x¡5=3
¶= 7x4=3 ¡ 4x¡5=3
(c) The derivatives are equivalent.
34. f 0(x) = kg0(x) + g(x) ¢ 0 = kg0(x)The result is the same as applying the rule for di¤erentiating a constant times a function.
252 Chapter 4 CALCULATING THE DERIVATIVE
35. f(x) =u(x)
v(x)
f 0(x) = limh!0
f(x+ h)¡ f(x)h
= limh!0
u(x+h)v(x+h) ¡ u(x)
v(x)
h= limh!0
u(x+ h)v(x)¡ u(x)v(x+ h)hv(x+ h)v(x)
= limh!0
u(x+h)v(x)¡u(x)v(x)+u(x)v(x)¡u(x)v(x+ h)hv(x+ h)v(x)
= limh!0
v(x)[u(x+h)¡u(x)]¡u(x)[v(x+h)¡v(x)]hv(x+ h)v(x)
= limh!0
v(x)u(x+h)¡u(x)h ¡ u(x)v(x+h)¡v(x)h
v(x+ h)v(x)=v(x) ¢ u0(x)¡ u(x)v0(x)
[v(x)]2
36. Given f(x) = u(x)v(x) ; multiply both sides by v(x) to obtain
f(x)v(x) = u(x):
Using the product rule, we havef(x) ¢ v0(x) + v(x) ¢ f 0(x) = u0(x):
Substitute u(x)v(x) for f(x) and solve for
hu(x)v(x)
i0:
u(x)
v(x)¢ v0(x)+v(x)
·u(x)
v(x)
¸0= u0(x)
u(x) ¢ v0(x)+[v(x)]2·u(x)
v(x)
¸0= v(x) ¢ u0(x)
[v(x)]2·u(x)
v(x)
¸0= v(x) ¢ u0(x)¡u(x) ¢ v0(x)
·u(x)
v(x)
¸0=v(x) ¢ u0(x)¡u(x) ¢ v0(x)
[v(x)]2
37. Graph the numerical derivative of f(x) = (x2¡ 2)(x2¡p2) for x ranging from ¡2 to 2. The derivative crossesthe x-axis at 0 and at approximately ¡1:307 and 1.307.
38. Graph the numerical derivative of f(x) = x¡2x2+4 for x ranging from ¡5 to 10. The derivative crosses the x-axis
at approximately ¡0:828 and 4.828.
39. C(x) =3x+ 2
x+ 4
C(x) =C(x)
x=3x+ 2
x2 + 4x
(a) C(10) =3(10) + 2
102 + 4(10)=32
140¼ 0.2286 hundreds of dollars or $22:86 per unit
(b) C(20) =3(20) + 2
(20)2 + 4(20)=62
480¼ 0:1292 hundreds of dollars or $12:92 per unit
(c) C(x) =3x+ 2
x2 + 4xper unit
(d) C0(x) =
(x2 + 4x)(3)¡ (3x+ 2)(2x+ 4)(x2 + 4x)2
=3x2 + 12x¡ 6x2 ¡ 12x¡ 4x¡ 8
(x2 + 4x)2=¡3x2 ¡ 4x¡ 8(x2 + 4x)2
Section 4.2 Derivatives of Products and Quotients 253
40. P (x) =5x¡ 62x+ 3
P (x) =P (x)
x=
5x¡ 62x2 + 3x
(a) P (8) =5(8)¡ 6
2(8)2 + 3(8)=34
152
¼ 0.224 tens of dollars or $2.24 per book
(b) P (15) =5(15)¡ 6
2(15)2 + 3(15)=69
495
¼ 0.139 tens of dollars or $1.39 per book
(c) P (x) =5x¡ 62x2 + 3x
per book
(d) P0(x) =
(2x2 + 3x)(5)¡ (5x¡ 6)(4x+ 3)(2x2 + 3x)2
=10x2 + 15x¡ 20x2 ¡ 15x+ 24x+ 18
(2x2 + 3x)2=¡10x2 + 24x+ 18(2x2 + 3x)2
41. M(d) =100d2
3d2 + 10
(a) M 0(d) =(3d2 + 10)(200d)¡ (100d2)(6d)
(3d2 + 10)2=600d3 + 2000d¡ 600d3
(3d2 + 10)2=
2000d
(3d2 + 10)2
(b) M 0(2) =2000(2)
[3(2)2 + 10]2=4000
484¼ 8:3
This means the new employee can assemble about 8.3 additional bicycles per day after 2 days of training.
M 0(5) =2000(5)
[3(5)2 + 10]2=10,0007225
¼ 1:4
This means the new employee can assemble about 1.4 additional bicycles per day after 5 days of training.
42. The revenue R(q) is given by R(q) = pq = D(q)q:Using the product rule, the derivative of R(q); which is the marginal revenue, is
R0(q) = D(q) ¢ 1 + qD0(q) = D(q) + qD0(q):
43. C(x) =C(x)
x
Let u(x) = C(x); with u0(x) = C0(x):Let v(x) = x with v0(x) = 1: Then, by the quotient rule,
C(x) =v(x) ¢ u0(x)¡ u(x) ¢ v0(x)
[v(x)]2=x ¢C0(x)¡C(x) ¢ 1
x2=xC0(x)¡C(x)
x2
44. Let d(t) be the demand as a function of time and p(t) be the price as a function of time.Then R(t) = d(t)p(t) is the revenue as a function of time. Let t = t1 represent the beginning of the year.
R0(t) = d(t)p0(t) + d0(t)p(t)R0(t1) = d(t1)p0(t1) + d0(t1)p(t1) = (500)(0:5) + (30)(15) = 250 + 450 = 700
Revenue is increasing $700 per month.
254 Chapter 4 CALCULATING THE DERIVATIVE
45. Let C(t) be the cost as a function of time and q(t)be the quantity as a function of time.Then C(t) = C(t)
q(t) is the revenue as a function oftime. Let t = t1 represent last month.
C0(t) =
q(t)C0(t)¡C(t)q0(t)[g(t)]2
C0(t1) =
q(t1)C0(t1)¡C(t1)q0(t1)[g(t1)]2
=(12,500)(1200)¡ (27,000)(350)
(12,500)2
= 0:03552
The average cost is increasing at a rate of $0.03552per gallon per month.
46. s(x) =x
m+ nx; m and n constants
(a) s0(x) =(m+ nx)1¡ x(n)
(m+ nx)2
=m+ nx¡ nx(m+ nx)2
=m
(m+ nx)2
(b) x = 50; m = 10; n = 3
s0(50) =m
(m+ 50n)2
=10
[10 + 50(3)]2
=1
2560
¼ 0:000391 mm per ml
47. f(x) =Kx
A+ x
(a) f 0(x) =(A+ x)K ¡Kx(1)
(A+ x)2
f 0(x) =AK
(A+ x)2
(b) f 0(A) =AK
(A+A)2
=AK
4A2
=K
4A
48. N(t) = 3t(t¡ 10)2 + 40
(a) N(t) = 3t(t2 ¡ 20t+ 100) + 40= 3t3 ¡ 60t2 + 300t+ 40
N 0(t) = 9t2 ¡ 120t+ 300
(b) N 0(8) = 9(8)2 ¡ 120(8) + 300= 9(64)¡ 960 + 300= ¡84
The rate of change is ¡84 million per hour.
(c) N 0(11) = 9(11)2 ¡ 120(11) + 300= 9(121)¡ 1320 + 300= 69
The rate of change is 69 million per hour.
(d) The population …rst declines, and then in-creases.
49. R(w) =30(w ¡ 4)w ¡ 1:5
(a) R(5) =30(5¡ 4)5¡ 1:5
¼ 8:57 min
(b) R(7) =30(7¡ 4)7¡ 1:5
¼ 16:36 min
(c) R0(w) =(w ¡ 1:5)(30)¡ 30(w ¡ 4)(1)
(w ¡ 1:5)2
=30w ¡ 45¡ 30w + 120
(w ¡ 1:5)2
=75
(w ¡ 1:5)2
R0(5) =75
(5¡ 1:5)2
¼ 6:12min2
kcal
R0(7) =75
(7¡ 1:5)2
¼ 2:48min2
kcal
Section 4.3 The Chain Rule 255
50. W =
μ1 +
20
H ¡ 0:93¶H = H +
20H
H ¡ 0:93
(a)dW
dH= 1+
(H ¡ 0:93)(20)¡ 20H(1)(H ¡ 0:93)2
=(H ¡ 0:93)2(H ¡ 0:93)2 +
20H ¡ 18:6¡ 20H(H ¡ 0:93)2
=H2 ¡ 1:86H + 0:8649
(H ¡ 0:93)2 +¡18:6
(H ¡ 0:93)2
=H2 ¡ 1:86H ¡ 17:7351
(H ¡ 0:93)2
(b)dW
dH= 0 when H2 ¡ 1:86H ¡ 17:7351 = 0
By the quadratic formula,
H =1:86§p1:862 + 4(17:7351)
2
¼ ¡3:38 or 5:24
Discarding the negative solution, W is minimizedat H = 5:24 m.
(c) Crows apply optimal foraging techniques.
51. f(t) =90t
99t¡ 90f 0(t) =
(99t¡ 90)(90)¡ (90t)(99)(99t¡ 90)2
=¡8100
(99t¡ 90)2
(a) f 0(1) =¡8100
(99¡ 90)2
=¡810092
=¡810081
= ¡100
(b) f 0(10) =¡8100
[99(10)¡ 90]2
=¡8100(900)2
=¡8100810; 000
= ¡ 1
100or ¡ 0:01
52. f(x) =x2
2(1¡ x)
f 0(x) =2(1¡ x)(2x)¡ x2(¡2)
[2(1¡ x)]2
=4x¡ 4x2 + 2x24(1¡ x)2
=4x¡ 2x24(1¡ x)2
=2x(2¡ x)4(1¡ x)2
=x(2¡ x)2(1¡ x)2
(a) f 0(0:1) =0:1(2¡ 0:1)2(1¡ 0:1)2 ¼ 0:1173
(b) f 0(0:6) =0:6(2¡ 0:6)2(1¡ 0:6)2 = 2:625
4.3 The Chain Rule
In Exercises 1-6, f(x) = 5x2 ¡ 2x and g(x) = 8x+ 3:
1. g(2) = 8(2) + 3 = 19
f [g(2)] = f [19]
= 5(19)2 ¡ 2(19)= 1805¡ 38 = 1767
2. g(¡5) = 8(¡5) + 3 = ¡37f [g(¡37)] = f [¡37]
= 5(¡37)2 ¡ 2(¡37)= 6845 + 74 = 6919
3. f(2) = 5(2)2 ¡ 2(2)= 20¡ 4 = 16
g[f(2)] = g[16]
= 8(16) + 3
= 128 + 3 = 131
4. f(¡5) = 5(¡5)2 ¡ 2(¡5)= 125 + 10 = 135
g[f(¡5)] = f [135]= 8(135) + 3
= 1080 + 3 = 1083
5. g(k) = 8k + 3
f [g(k)] = f [8k + 3]
= 5(8k + 3)2 ¡ 2(8k + 3)= 5(64k2 + 48k + 9)¡ 16k ¡ 6= 320k2 + 224k + 39
256 Chapter 4 CALCULATING THE DERIVATIVE
6. f(5z) = 5(5z)2 ¡ 2(5z)= 125z2 ¡ 10z
g[f(5z)] = g(125z2 ¡ 10z)= 8(125z2 ¡ 10z) + 3= 1000z2 ¡ 80z + 3
7. f(x) =x
8+ 7; g(x) = 6x¡ 1
f [g(x)] =6x¡ 18
+ 7
=6x¡ 18
+56
8
=6x+ 55
8
g[f(x)] = 6hx8+ 7i¡ 1
=6x
8+ 42¡ 1
=3x
4+ 41
=3x
4+164
4
=3x+ 164
4
8. f(x) = ¡8x+ 9; g(x) = x
5+ 4
f [g(x)] = ¡8hx5+ 4i+ 9
=¡8x5
¡ 32 + 9
=¡8x5
¡ 23
=¡8x¡ 115
5
g[f(x)] =¡8x+ 9
5+ 4
=¡8x+ 9
5+20
5
=¡8x+ 29
5
9. f(x) =1
x; g(x) = x2
f [g(x)] =1
x2
g[f(x)] =
μ1
x
¶2
=1
x2
10. f(x) =2
x4; g(x) = 2¡ x
f [g(x)] =2
(2¡ x)4
g[f(x)] = 2¡μ2
x4
¶= 2¡ 2
x4
11. f(x) =px+ 2; g(x) = 8x2 ¡ 6
f [g(x)] =p(8x2 ¡ 6) + 2
=p8x2 ¡ 4
g[f(x)] = 8(px+ 2)2 ¡ 6
= 8x+ 16¡ 6= 8x+ 10
12. f(x) = 9x2 ¡ 11x; g(x) = 2px+ 2
f [g(x)] = 9(2px+ 2)2 ¡ 11(2px+ 2)
= 9[4(x+ 2)]¡ 22px+ 2= 36(x+ 2)¡ 22px+ 2= 36x+ 72¡ 22px+ 2
g[f(x)] = 2p(9x2 ¡ 11x) + 2
= 2p9x2 ¡ 11x+ 2
13. f(x) =px+ 1; g(x) =
¡1x
f [g(x)] =
r¡1x+ 1
=
rx¡ 1x
g[f(x)] =¡1px+ 1
14. f(x) =8
x; g(x) =
p3¡ x
f [g(x)] =8p3¡ x
=8p3¡ x ¢
p3¡ xp3¡ x
=8p3¡ x3¡ x
g[f(x)] =
r3¡ 8
x=
r3x¡ 8x
=
p3x¡ 8px
¢pxpx
=
p3x2 ¡ 8xx
Section 4.3 The Chain Rule 257
16. y = (3x2 ¡ 7)2=3
If f(x) = x2=3 and g(x) = 3x2 ¡ 7; then
y = f [g(x)] = (3x2 ¡ 7)2=3:
17. y = (5¡ x2)3=5
If f(x) = x3=5 and g(x) = 5¡ x2, then
y = f [g(x)] = (5¡ x2)3=5:
18. y =p9¡ 4x
If f(x) =px and g(x) = 9¡ 4x; then
y = f [g(x)] =p9¡ 4x:
19. y = ¡p13 + 7xIf f(x) = ¡px andg(x) = 13 + 7x;
then y = f [g(x)] = ¡p13 + 7x:
20. y = (x1=2 ¡ 3)2 + (x1=2 ¡ 3) + 5If f(x) = x2 + x+ 5 and
g(x) = x1=2 ¡ 3; theny = f [g(x)]
= (x1=2 ¡ 3)2 + (x1=2 ¡ 3) + 5:
21. y = (x2 + 5x)1=3 ¡ 2(x2 + 5x)2=3 + 7If f(x) = x1=3 ¡ 2x2=3 + 7 andg(x) = x2 + 5x;
then
y = f [g(x)] = (x2 + 5x)1=3
¡ 2(x2 + 5x)2=3 + 7:
22. y = (2x3 + 9x)5
Let f(x) = x5 and g(x) = 2x3 + 9x: Then(2x3 + 9x)5 = f [g(x)]:
dy
dx= f 0[g(x)] ¢ g0(x)
f 0(x) = 5x4
f 0[g(x)] = 5[g(x)]4
= 5(2x3 + 9x)4
g0(x) = 6x2 + 9
dy
dx= 5(2x3 + 9x)4(6x2 + 9)
23. y = (8x4 ¡ 5x2 + 1)4
Let f(x) = x4 and g(x) = 8x4 ¡ 5x2 + 1: Then
(8x4 ¡ 5x2 + 1)4 = f [g(x)]:
Use the alternate form of the chain rule.dy
dx= f 0[g(x)] ¢ g0(x)
f 0(x) = 4x3
f 0[g(x)] = 4[g(x)]3
= 4(8x4 ¡ 5x2 + 1)3g0(x) = 32x3 ¡ 10x
dy
dx= 4(8x4 ¡ 5x2 + 1)3(32x3 ¡ 10x)
24. f(x) = ¡7(3x4 + 2)¡4
Use the generalized power rule withu = 3x4 + 2; n = ¡4 and u0 = 12x3:
f 0(x) = ¡7[¡4(3x4 + 2)¡4¡1 ¢ 12x3]= ¡7[¡48x3(3x4 + 2)¡5]= 336x3(3x4 + 2)¡5
25. f(x) = ¡2(12x2 + 5)¡6
Use the generalized power rule withu = 12x2 + 5; n = ¡6; and u0 = 24x:
f 0(x) = ¡2[¡6(12x2 + 5)¡6¡1 ¢ 24x]= ¡2[¡144x(12x2 + 5)¡7]= 288x(12x2 + 5)¡7
26. s(t) = 12(2t4 + 5)3=2
Use generalized power rule with u = 2t4 + 5;n = 3
2 ; and u0 = 8t3:
s0(t) = 12·3
2(2t4 + 5)1=2 ¢ 8t3
¸
= 12[12t3(2t4 + 5)1=2]
= 144t3(2t4 + 5)1=2
27. s(t) = 45(3t3 ¡ 8)3=2
Use the generalized power rule withu = 3t3 ¡ 8; n = 3
2 ; and u0 = 9t2:
s0(t) = 45·3
2(3t3 ¡ 8)1=2 ¢ 9t2
¸
= 45
·27
2t2(3t3 ¡ 8)1=2
¸
=1215
2t2(3t3 ¡ 8)1=2
258 Chapter 4 CALCULATING THE DERIVATIVE
28. f(t) = 8p4t2 + 7
= 8(4t2 + 7)1=2
Use generalized power rule with u = 4t2 + 7;n = 1
2 ; and u0 = 8t:
f 0(t) = 8·1
2(4t2 + 7)¡1=2 ¢ 8t
¸
= 8[4t(4t2 + 7)¡1=2]= 32t(4t2 + 7)¡1=2
=32t
(4t2 + 7)1=2
=32tp4t2 + 7
29. g(t) = ¡3p7t3 ¡ 1= ¡3(7t3 ¡ 1)1=2
Use generalized power rule withu = 7t3 ¡ 1; n = 1
2 ; and u0 = 21t2:
g0(t) = ¡3·1
2(7t3 ¡ 1)¡1=2 ¢ 21t2
¸
= ¡3·21
2t2(7t3 ¡ 1)¡1=2
¸
=¡632t2 ¢ 1
(7t3 ¡ 1)1=2
=¡63t2
2p7t3 ¡ 1
30. r(t) = 4t(2t5 + 3)4
Use the product rule and the power rule.
r0(t) = 4t[4(2t5 + 3)3 ¢ 10t4]+ (2t5 + 3)4 ¢ 4
= 160t5(2t5 + 3)3 + 4(2t5 + 3)4
= 4(2t5 + 3)3[40t5 + (2t5 + 3)]
= 4(2t5 + 3)3(42t5 + 3)
31. m(t) = ¡6t(5t4 ¡ 1)4
Use the product rule and the power rule.
m0(t) = ¡6t[4(5t4 ¡ 1)3 ¢ 20t3] + (5t4 ¡ 1)4(¡6)= ¡480t4(5t4 ¡ 1)3 ¡ 6(5t4 ¡ 1)4= ¡6(5t4 ¡ 1)3[80t4 + (5t4 ¡ 1)]= ¡6(5t4 ¡ 1)3(85t4 ¡ 1)
32. y = (x3 + 2)(x2 ¡ 1)4
Use the product rule and the power rule.
dy
dx= (x3 + 2)[4(x2 ¡ 1)3 ¢ 2x]
+ (x2 ¡ 1)4(3x2)= 8x(x3 + 2)(x2 ¡ 1)3 + 3x2(x2 ¡ 1)4= x(x2 ¡ 1)3[8(x3 + 2) + 3x(x2 ¡ 1)]= x(x2 ¡ 1)3(8x3 + 16 + 3x3 ¡ 3x)= x(x2 ¡ 1)3(11x3 ¡ 3x+ 16)
33. y = (3x4 + 1)4(x3 + 4)
Use the product rule and the power rule.
dy
dx= (3x4 + 1)4(3x2) + (x3 + 4)[4(3x4 + 1)3
¢ 12x3]= 3x2(3x4 + 1)4 + 48x3(x3 + 4)(3x4 + 1)3
= 3x2(3x4 + 1)3[3x4 + 1+ 16x(x3 + 4)]
= 3x2(3x4 + 1)3(3x4 + 1+ 16x4 + 64x)
= 3x2(3x4 + 1)3(19x4 + 64x+ 1)
34. p(z) = z(6z + 1)4=3
Use the product rule and the power rule.
p0(z) = z ¢ 43(6z + 1)1=3 ¢ 6
+ 1 ¢ (6z + 1)4=3= 8z(6z + 1)1=3 + (6z + 1)4=3
= (6z + 1)1=3[8z + (6z + 1)1]
= (6z + 1)1=3(14z + 1)
35. q(y) = 4y2(y2 + 1)5=4
Use the product rule and the power rule.
q0(y) = 4y2 ¢ 54(y2 + 1)1=4(2y) + 8y(y2 + 1)5=4
= 10y3(y2 + 1)1=4 + 8y(y2 + 1)5=4
= 2y(y2 + 1)1=4[5y2 + 4(y2 + 1)4=4]
= 2y(y2 + 1)1=4(9y2 + 4)
Section 4.3 The Chain Rule 259
36. y =1
(3x2 ¡ 4)5 = (3x2 ¡ 4)¡5
dy
dx= ¡5(3x2 ¡ 4)¡6 ¢ 6x= ¡30x(3x2 ¡ 4)¡6
=¡30x
(3x2 ¡ 4)6
37. y =¡5
(2x3 + 1)2= ¡5(2x3 + 1)¡2
dy
dx= ¡5[¡2(2x3 + 1)¡3 ¢ 6x2]= ¡5[¡12x2(2x3 + 1)¡3]= 60x2(2x3 + 1)¡3
=60x2
(2x3 + 1)3
38. p(t) =(2t+ 3)3
4t2 ¡ 1p0(t) =
(4t2¡1)[3(2t+3)2 ¢ 2]¡(2t+3)3(8t)(4t2 ¡ 1)2
=6(4t2 ¡ 1)(2t+ 3)2 ¡ 8t(2t+ 3)3
(4t2 ¡ 1)2
=(2t+ 3)2[6(4t2 ¡ 1)¡ 8t(2t+ 3)]
(4t2 ¡ 1)2
=(2t+ 3)2[24t2 ¡ 6¡ 16t2 ¡ 24t]
(4t2 ¡ 1)2
=(2t+ 3)2[8t2 ¡ 24t¡ 6]
(4t2 ¡ 1)2
=2(2t+ 3)2(4t2 ¡ 12t¡ 3)
(4t2 ¡ 1)2
39. r(t) =(5t¡ 6)43t2 + 4
r0(t)
=(3t2 + 4)[4(5t¡ 6)3 ¢ 5]¡ (5t¡ 6)4(6t)
(3t2 + 4)2
=20(3t2 + 4)(5t¡ 6)3 ¡ 6t(5t¡ 6)4
(3t2 + 4)2
=2(5t¡ 6)3[10(3t2 + 4)¡ 3t(5t¡ 6)]
(3t2 + 4)2
=2(5t¡ 6)3(30t2 + 40¡ 15t2 + 18t)
(3t2 + 4)2
=2(5t¡ 6)3(15t2 + 18t+ 40)
(3t2 + 4)2
40. y =x2 + 4x
(3x3 + 2)4
dy
dx=(3x3+2)4(2x+4)¡(x2+4x)[4(3x3+2)3 ¢9x2]
[(3x3 + 2)4]2
=(3x3+2)4(2x+ 4)¡ 36x2(x2 + 4x)(3x3 + 2)3
(3x3 + 2)8
=2(3x3 + 2)3[(3x3 + 2)(x+ 2)¡ 18x2(x2 + 4x)]
(3x3 + 2)8
=2(3x4 + 6x3 + 2x+ 4¡ 18x4 ¡ 72x3)
(3x3 + 2)5
=¡30x4 ¡ 132x3 + 4x+ 8
(3x3 + 2)5
41. y =3x2 ¡ x(2x¡ 1)5
dy
dx=(2x¡ 1)5(6x¡ 1)¡ (3x2 ¡ x)[5(2x¡ 1)4 ¢ 2]
[(2x¡ 1)5]2
=(2x¡ 1)5(6x¡ 1)¡ 10(3x2 ¡ x)(2x¡ 1)4
(2x¡ 1)10
=(2x¡ 1)4[(2x¡ 1)(6x¡ 1)¡ 10(3x2 ¡ x)]
(2x¡ 1)10
=12x2 ¡ 2x¡ 6x+ 1¡ 30x2 + 10x
(2x¡ 1)6
=¡18x2 + 2x+ 1(2x¡ 1)6
42. Let f(x) = xn: Then y = f(g(x)) = [g(x)]n:Using the chain rule,
dy
dx= f 0[g(x)] ¢ g0(x):
Then, using the power rule, f 0(x) = nxn¡1:
dy
dx= n[g(x)]n¡1 ¢ g0(x):
43. (a) Dx(f [g(x)]) at x = 1
= f 0[g(1)] ¢ g0(1)
= f 0(2) ¢μ2
7
¶
= ¡7μ2
7
¶
= ¡2
260 Chapter 4 CALCULATING THE DERIVATIVE
(b) Dx(f [g(x)]) at x = 2
= f 0[g(2)] ¢ g0(2)
= f 0(3) ¢μ3
7
¶
= ¡8μ3
7
¶
= ¡247
44. (a) Dx (g[f(x)]) at x = 1= g0[f(1)] ¢ f 0(1)= g0(2) ¢ (¡6)=3
7(¡6) = ¡18
7
(b) Dx (g[f(x)]) at x = 2= g0[f(2)] ¢ f 0(2)= g0(4) ¢ (¡7)=5
7(¡7) = ¡5
45. f(x) =px2 + 16;x = 3
f(x) = (x2 + 16)1=2
f 0(x) =1
2(x2 + 16)¡1=2(2x)
f 0(x) =xp
x2 + 16
f 0(3) =3p
32 + 16=3
5
f(3) =p32 + 16 = 5
We use m = 35 and the point P (3; 5) in the point-
slope form.
y ¡ 5 = 3
5(x¡ 3)
y ¡ 5 = 3
5x¡ 9
5
y =3
5x+
16
5
46. f(x) = (x3 + 7)2=3;x = 1
f 0(x) =2
3(x3 + 7)¡1=3(3x2)
f 0(x) =2x2
(x3 + 7)1=3
f 0(1) =2
2= 1
f 0(1) = 82=3 = 4
We use m = 1 and the point P (1; 4):
y ¡ 4 = 1(x¡ 1)y = x+ 3
47. f(x) = x(x2 ¡ 4x+ 5)4;x = 2f 0(x) = x ¢ 4(x2 ¡ 4x+ 5)3 ¢ (2x¡ 4)
+ 1 ¢ (x2 ¡ 4x+ 5)4= (x2 ¡ 4x+ 5)3
¢ [4x(2x¡ 4) + (x2 ¡ 4x+ 5)]= (x2 ¡ 4x+ 5)3(9x2 ¡ 20x+ 5)
f 0(2) = (1)3(1) = 1f(2) = 2(1)4 = 2
We use m = 1 and the point P (2; 2):
y ¡ 2 = 1(x¡ 2)y ¡ 2 = x¡ 2
y = x
48. f(x) = x2px4 ¡ 12;x = 2
f(x) = x2(x4 ¡ 12)1=2
f 0(x) = x2 ¢ 12(x4 ¡ 12)¡1=2(4x3)
+ 2x(x4 ¡ 12)1=2
f 0(x) =2x5
(x4 ¡ 12)1=2 + 2x(x4 ¡ 12)1=2
f 0(2) =64
41=2+ 4(4)1=2
f 0(2) = 32 + 8 = 40f(2) = 4
p4 = 8
We use m = 40 and the point P (2; 8):
y ¡ 8 = 40(x¡ 2)y = 40x¡ 72
49. f(x) =px3 ¡ 6x2 + 9x+ 1
f(x) = (x3 ¡ 6x2 + 9x+ 1)1=2
f 0(x) =1
2(x3 ¡ 6x2 + 9x+ 1)¡1=2¢ (3x2 ¡ 12x+ 9)
f 0(x) =3(x2 ¡ 4x+ 3)
2px3 ¡ 6x2 + 9x+ 1
If the tangent line is horizontal, its slope is zeroand f 0(x) = 0:
3(x2 ¡ 4x+ 3)2px3 ¡ 6x2 + 9x+ 1 = 0
3(x2 ¡ 4x+ 3) = 03(x¡ 1)(x¡ 3) = 0
x = 1 or x = 3
The tangent line is horizontal at x = 1 and x = 3:
Section 4.3 The Chain Rule 261
50. f(x) =x
(x2 + 4)4
f 0(x) =(x2 + 4)4 ¢ 1¡ x ¢ 4(x2 + 4)3(2x)
(x2 + 4)8
=(x2 + 4)3[(x2 + 4)¡ 8x2]
(x2 + 4)8=
4¡ 7x2(x2 + 4)5
If the tangent line is horizontal, its slope is zeroand f 0(x) = 0:
4¡ 7x2(x2 + 4)5
= 0
4¡ 7x2 = 0
x2 =4
7
x = § 2p7
The tangent line is horizontal at x = § 2p7:
53. D(p) =¡p2100
+ 500; p(c) = 2c¡ 10
The demand in terms of the cost is
D(c) = D[p(c)]
=¡(2c¡ 10)2
100+ 500
=¡4(c¡ 5)2
100+ 500
=¡c2 + 10c¡ 25
25+ 500
=¡c2 + 10c¡ 25 + 12,500
25
=¡c2 + 10c+ 12,475
25:
54. R(x) = 24(x2 + x)2=3
R0(x) = 24·2
3(x2 + x)¡1=3 ¢ (2x+ 1)
¸
= 16(x2 + x)¡1=3(2x+ 1)
(a) R0(100) = 16(1002 + 100)¡1=3(2 ¢ 100 + 1)¼ 148:78
The marginal revenue is $148.78.
(b) R0(200) = 16(2002 + 200)¡1=3(2 ¢ 200 + 1)¼ 187:29
The marginal revenue is $187.29.
(c) R0(300) = 16(3002 + 300)¡1=3(2 ¢ 300 + 1)¼ 214:34
The marginal revenue is $214.34.
(d) R(x) =R(x)
x=24(x2 + x)2=3
x
(e) R0(x)
=x ¢ 16(x2 + x)¡1=3(2x+ 1)¡24(x2 + x)2=3 ¢ 1
x2
=16x(x2 + x)¡1=3(2x+ 1)¡ 24(x2 + x)2=3
x2
=16x(2x+ 1)¡ 24(x2 + x)
x2(x2 + x)1=3
=32x2 + 16x¡ 24x2 ¡ 24x
x2(x2 + x)1=3
=8x2 ¡ 8x
x2(x2 + x)1=3
=8(x¡ 1)
x(x2 + x)1=3
55. A = 1500μ1 +
r
36,500
¶1825
dAdr is the rate of change of A with respect to r:
dA
dr= 1500(1825)
μ1 +
r
36,500
¶1824μ1
36,500
¶
= 75
μ1 +
r
36,500
¶1824
(a) For r = 6%;
dA
dr= 75
μ1 +
6
36,500
¶1824= $101:22:
(b) For r = 8%;
dA
dr= 75
μ1 +
8
36,500
¶1824= $111:86:
(c) For r = 9%;
dA
dr= 75
μ1 +
9
36,500
¶1824= $117:59:
262 Chapter 4 CALCULATING THE DERIVATIVE
56. q = D(p)
= 30
Ã5¡ pp
p2 + 1
!
= 150¡ 30ppp2 + 1
= 150¡ 30p
(p2 + 1)1=2
dq
dp= 0¡
·(p2+1)1=2Dp(30p)¡(30p)(Dp(p2+1)1=2)
[(p2 + 1)1=2]2
¸
= ¡"(p2+ 1)1=2(30)¡(30p) ¡12¢ (p2+1)¡1=2(2p)
(p2 + 1)
#
= ¡·(p2+ 1)1=2(30)¡(30p)(p)(p2+ 1)¡1=2
(p2 + 1)
¸
= ¡·(30)(p2+ 1)¡1=2([p2+1]¡p2)
(p2 + 1)
¸
=¡30(p2 + 1)¡1=2(1)
(p2 + 1)
= ¡ 30
(p2 + 1)3=2
57. V =60; 000
1 + 0:3t+ 0:1t2
The rate of change of the value is
V 0(t)
=(1 + 0:3t+ 0:1t2)(0)¡ 60; 000(0:3 + 0:2t)
(1 + 0:3t+ 0:1t2)2
=¡60; 000(0:3 + 0:2t)(1 + 0:3t+ 0:1t2)2
:
(a) 2 years after purchase, the rate of change inthe value is
V 0(2) =¡60; 000[0:3 + 0:2(2)][1 + 0:3(2) + 0:1(2)2]2
=¡60; 000(0:3 + 0:4)(1 + 0:6 + 0:4)2
=¡42; 000
4
= ¡$10; 500:(b) 4 years after purchase, the rate of change inthe value is
V 0(4) =¡60; 000[0:3 + 0:2(4)][1 + 0:3(4) + 0:1(4)2]2
=¡66; 00014:44
= ¡$4570:64:
58. C = 2000q + 3500q =
p15; 000¡ 1:5p
Solve for p.
q =p15,000¡ 1:5p
q2 = 15; 000¡ 1:5pq2 ¡ 15,000
¡1:5 = p
q2
¡1:5 +15,0001:5
= p
¡2q23
+ 10,000 = p
(a) R(q) = qp = qμ¡2q2
3+ 10,000
¶
=¡2q33
+ 10,000q
=¡2q3 + 30,000q
3
=30,000q ¡ 2q3
3
(b) P (q) = R(q)¡C(q)
=30,000q ¡ 2q3
3
¡ (2000q + 3500)
=
μ¡2q33
+ 10,000q¶
¡ (2000q + 3500)
=¡2q33
+ 8000q ¡ 3500
= 8000q ¡ 2q3
3¡ 3500
P (q) is the pro…t function.
(c)dP
dq= Dq (8000q ¡ 2q
3
3¡ 3500)
= 8000¡ 2q2
dP
dqor P 0(q) gives the marginal pro…t.
(d) If p = $5000 and
q =p15,000 ¡ 1:5p;
then q =p15,000 ¡ 1:5(5000)
=p15,000 ¡ 7500
=p7500:
Section 4.3 The Chain Rule 263
Thus, q2 = 7500:
P 0(q) = 8000¡ 2q2= 8000¡ 2(7500)= 8000¡ 15,000= ¡7000
When the price is $5000, the marginal pro…t is¡$7000:
59. P (x) = 2x2 + 1; x = f(a) = 3a+ 2
P [f(a)] = 2(3a+ 2)2 + 1
= 2(9a2 + 12a+ 4) + 1
= 18a2 + 24a+ 9
60. (a) A(r) = ¼r2
r(t) = t2
A[r(t)] = ¼[t2]2
= ¼(t4)
= ¼t4
This function represents the area of the oil slickas a function of time t after the beginning of theleak.
(b) DtA[r(t)] = 4¼t3
DtA[r(100)] = 4¼(100)3
= 4,000,000¼
At 100 minutes the area of the spill is changing atthe rate of 4,000,000¼ ft2/min.
61. (a) r(t) = 2t; A(r) = ¼r2
A[r(t)] = ¼(2t)2
= 4¼t2
A = 4¼t2 gives the area of the pollution in termsof the time since the pollutants were …rst emitted.
(b) DtA[r(t)] = 8¼tDtA[r(4)] = 8¼(4) = 32¼
At 12 P.M., the area of pollution is changing atthe rate of 32¼ mi2/hr.
62. N(t) = 2t(5t+ 9)1=2 + 12
N 0(t) = (2t)·1
2(5t+ 9)¡1=2(5)
¸
+ 2(5t+ 9)1=2 + 0
= 5t(5t+ 9)¡1=2 + 2(5t+ 9)1=2
= (5t+ 9)¡1=2[5t+ 2(5t+ 9)]= (5t+ 9)¡1=2(15t+ 18)
=15t+ 18
(5t+ 9)1=2
(a) N 0(0) =15(0) + 18
[5(0) + 9]1=2
=18
91=2= 6
(b) N 0μ7
5
¶=
15¡75
¢+ 18£
5¡75
¢+ 9¤1=2
=21 + 8
(7 + 9)1=2
=39
(16)1=2
=39
4= 9:75
(c) N 0(8) =15(8) + 18
[5(8) + 9]1=2
=120 + 18
(49)1=2
=138
7¼ 19:71
63. C(t) =1
2(2t+ 1)¡1=2
C 0(t) =1
2
μ¡12
¶(2t+ 1)¡3=2(2)
= ¡12(2t+ 1)¡3=2
(a) C0(0) = ¡12[2(0) + 1]¡3=2
= ¡12
= ¡0:5
(b) C0(4) = ¡12[2(4) + 1]¡3=2
= ¡12(9)¡3=2
=¡12¢ 1
(p9)3
= ¡ 1
54
¼ ¡0:02
(c) C0(7:5) = ¡12[2(7:5) + 1]¡3=2
= ¡12(16)¡3=2
= ¡12
μ1
(p16)3
¶
= ¡ 1
128
¼ ¡0:008
264 Chapter 4 CALCULATING THE DERIVATIVE
(d) C is always decreasing because
C 0 = ¡12(2t+ 1)
¡3=2
is always negative for t ¸ 0:(The amount of calcium in the bloodstream willcontinue to decrease over time.)
64. (a) R(Q) = Q
μC ¡ Q
3
¶1=2
R0(Q) = Q
"1
2
μC ¡ Q
3
¶¡1=2μ¡13
¶#
+
μC ¡ Q
3
¶1=2(1)
= ¡16Q
μC ¡ Q
3
¶¡1=2+
μC ¡ Q
3
¶1=2
= ¡ Q
6³C ¡ Q
3
´1=2 +μC ¡ Q
3
¶1=2
(b) R0(Q) = ¡ Q
6³C ¡ Q
3
´1=2 +μC ¡ Q
3
¶1=2
If Q = 87 and C = 59; then
R0(Q) =μ59¡ 87
3
¶1=2¡ 87
6¡59¡ 87
3
¢1=2= (30)1=2 ¡ 87
6(30)1=2
= 5:48¡ 87
32:88
= 5:48¡ 2:65= 2:83:
(c) Because R0(Q) is positive, the patient’s sensi-tivity to the drug is increasing.
65. V (r) =4
3¼r3; S(r) = 4¼r2; r(t) = 6¡ 3
17t
(a) r(t) = 0 when 6¡ 3
17t = 0;
t =17(6)
3= 34 min.
(b)dV
dr= 4¼r2;
dS
dr= 8¼r;
dr
dt= ¡ 3
17
dV
dt=dV
dr¢ drdt= ¡12
17¼r2
= ¡1217¼
μ6¡ 3
17t
¶2dS
dt=dS
dr¢ drdt= ¡24
17¼r
= ¡2417¼
μ6¡ 3
17t
¶
When t = 17,
dV
dt= ¡12
17¼
·6¡ 3
17(17)
¸2
= ¡10817¼ mm3/min
dS
dt= ¡24
17¼
·6¡ 3
17(17)
¸
= ¡7217¼ mm2/min
At t = 17 minutes, the volume is decreasing by10817 ¼ mm
3 per minute and the surface area is de-creasing by 72
17¼ mm2 per minute.
4.4 Derivatives of ExponentialFunctions
1. y = e4x
Let g(x) = 4x;
with g0(x) = 4:
dy
dx= 4e4x
2. y = e¡2x
Let g(x) = ¡2x;with g0(x) = ¡2:
dy
dx= ¡2e¡2x
3. y = ¡8e3xdy
dx= ¡8(3e3x) = ¡24e3x
4. y = 1:2e5x
dy
dx= 1:2(5e5x) = 6e5x
Section 4.4 Derivatives of Exponential Functions 265
5. y = ¡16e2x+1g(x) = 2x+ 1
g0(x) = 2
dy
dx= ¡16(2e2x+1) = ¡32e2x+1
6. y = ¡4e¡0:3xdy
dx= ¡4(¡0:3e¡0:3x)= 1:2e¡0:3x
7. y = ex2
g(x) = x2
g0(x) = 2x
dy
dx= 2xex
2
8. y = e¡x2
g(x) = ¡x2g0(x) = ¡2xdy
dx= ¡2xe¡x2
9. y = 3e2x2
g(x) = 2x2
g0(x) = 4x
dy
dx= 3(4xe2x
2)
= 12xe2x2
10. y = ¡5e4x3g(x) = 4x3
g0(x) = 12x2
dy
dx= (¡5)(12x2)e4x3
= ¡60x2e4x3
11. y = 4e2x2¡4
g(x) = 2x2 ¡ 4g0(x) = 4x
dy
dx= 4[(4x)e2x
2¡4]
= 16xe2x2¡4
12. y = ¡3e3x2+5g(x) = 3x2 + 5
g0(x) = 6xy0 = (¡3)(6x)e3x2+5= ¡18xe3x2+5
13. y = xex
Use the product rule.
dy
dx= xex + ex ¢ 1= ex(x+ 1)
14. y = x2e¡2x
Use the product rule.
dy
dx= x2(¡2e¡2x) + 2xe¡2x= ¡2x2e¡2x + 2xe¡2x= 2x(1¡ x)e¡2x
15. y = (x+ 3)2e4x
Use the product rule.
dy
dx= (x+ 3)2(4)e4x + e4x ¢ 2(x+ 3)= 4(x+ 3)2e4x + 2(x+ 3)e4x
= 2(x+ 3)e4x[2(x+ 3) + 1]
= 2(x+ 3)(2x+ 7)e4x
16. y = (3x3 ¡ 4x)e¡5x
Use the product rule.
dy
dx= (3x3 ¡ 4x)(¡5e¡5x) + e¡5x(9x2 ¡ 4)= (¡15x3 + 20x)e¡5x + (9x2 ¡ 4)e¡5x= (¡15x3 + 9x2 + 20x¡ 4)e¡5x
17. y =x2
ex
Use the quotient rule.
dy
dx=ex(2x)¡ x2ex
(ex)2
=xex(2¡ x)
e2x
=x(2¡ x)ex
18. y =ex
2x+ 1
dy
dx=ex(2x+ 1)¡ (2)(ex)
(2x+ 1)2
=ex(2x+ 1¡ 2)(2x+ 1)2
=ex(2x¡ 1)(2x+ 1)2
19. y =ex + e¡x
x
dy
dx=x(ex ¡ e¡x)¡ (ex + e¡x)
x2
266 Chapter 4 CALCULATING THE DERIVATIVE
20. y =ex ¡ e¡x
x
dy
dx=x(ex ¡ (¡1)e¡x)¡ (ex ¡ e¡x)(1)
x2
=xex + xe¡x ¡ ex + e¡x
x2
=ex(x¡ 1) + e¡x(x+ 1)
x2
21. p =10,000
9 + 4e¡0:2t
dp
dt=(9 + 4e¡0:2t) ¢ 0¡10,000[0 + 4(¡0:2)e¡0:2t]
(9 + 4e¡0:2t)2
=8000e¡0:2t
(9 + 4e¡0:2t)2
22. p =500
12 + 5e¡0:5t
dp
dt=(12+5e¡0:5t) ¢ 0¡500[0+5(¡0:5)e¡0:5t]
(12 + 5e¡0:5t)2
=1250e¡0:5t
(12 + 5e¡0:5t)2
23. f(z) = (2z + e¡z2)2
f 0(z) = 2(2z + e¡z2
)1(2¡ 2ze¡z2)= 4(2z + e¡z
2
)(1¡ ze¡z2)24. y = 73x+1
Let g(x) = 3x+ 1; with g0(x) = 3: Then
dy
dx= (ln 7)(73x+1) ¢ 3= 3(ln 7)73x+1
25. y = 4¡5x+2
Let g(x) = ¡5x+ 2; with g0(x) = ¡5: Thendy
dx= (ln 4)(4¡5x+2) ¢ (¡5)= ¡5(ln 4)4¡5x+2
26. y = 3 ¢ 4x2+2
Let g(x) = x2 + 2; with g0(x) = 2x: Then
dy
dx= 3(ln 4)4x
2+2 ¢ 2x= 6x(ln 4)4x
2+2
27. y = ¡103x2¡4
Let g(x) = 3x2 ¡ 4; with g0(x) = 6x:dy
dx= ¡(ln 10)103x2¡4 ¢ 6x= ¡6x(103x2¡4) ln 10
28. s = 2 ¢ 3pt
Let g(t) =pt; with g0(t) =
1
2pt: Then
ds
dt= 2(ln 3)3
pt ¢ 1
2pt
=(ln 3)3
pt
pt
29. s = 5 ¢ 2pt¡2
Let g(t) = t¡ 2, with g0(t) = 12pt¡2 . Then
ds
dt= 5(ln 2)(2
pt¡2) ¢ 1
2pt¡ 2
=(5 ln 2)2
pt¡2
2pt¡ 2
30. y =tet + 2
e2t + 1
Use the quotient rule and product rule.
dy
dt=(e2t + 1)(tet + et ¢ 1)¡ (tet + 2)(2e2t)
(e2t + 1)2
=(e2t + 1)(tet + et)¡ (tet + 2)(2e2t)
(e2t + 1)2
=te3t + e3t + tet + et ¡ 2te3t ¡ 4e2t
(e2t + 1)2
=¡te3t + e3t + tet + et ¡ 4e2t
(e2t + 1)2
=(1¡ t)e3t ¡ 4e2t + (1 + t)et
(e2t + 1)2
31. y =t2e2t
t+ e3t
Use the quotient rule and product rule.
dy
dt=(t+ e3t)(2te2t + t2 ¢ 2e2t)¡ t2e2t(1 + 3e3t)
(t+ e3t)2
=(t+ e3t)(2te2t + 2t2e2t)¡ t2e2t(1 + 3e3t)
(t+ e3t)2
=(2t2e2t + 2t3e2t + 2te5t + 2t2e5t)¡ (t2e2t + 3t2e5t)
(t+ e3t)2
=t2e2t + 2t3e2t + 2te5t ¡ t2e5t
(t+ e3t)2
=(2t3 + t2)e2t + (2t¡ t2)e5t
(t+ e3t)2
Section 4.4 Derivatives of Exponential Functions 267
32. f(x) = exp3x+2
Let g(x) = xp3x+ 2:
g0(x) = 1 ¢ p3x+ 2+ xμ
3
2p3x+ 2
¶
=p3x+ 2+
3x
2p3x+ 2
=2(3x+ 2)
2p3x+ 2
+3x
2p3x+ 2
=9x+ 4
2p3x+ 2
f 0(x) = exp3x+2 ¢
μ9x+ 4
2p3x+ 2
¶
33. f(x) = ex2=(x3+2)
Let g(x) =x2
x3 + 2
g0(x) =(x3 + 2)(2x)¡ x2(3x2)
(x3 + 2)2
=2x4 + 4x¡ 3x4(x3 + 2)2
=4x¡ x4(x3 + 2)2
=x(4¡ x3)(x3 + 2)2
f 0(x) = ex2=(x3+2) ¢
·x(4¡ x3)(x3 + 2)2
¸
=x(4¡ x3)ex2=(x3+2)
(x3 + 2)2
34. y = yoekt
dy
dt=d
dt[yoe
kt] = yokekt = k(yoe
kt) = ky
35. Graph
y =ex+0:0001 ¡ ex
0:0001on a graphing calculator. A good choice for theviewing window is [¡1; 4] by [¡1; 16] with Xscl =1, Yscl = 2.
If we graph y = ex on the same screen, we see thatthe two graphs coincide. They are close enough tobeing identical that they are indistinguishable.By the de…nition of the derivative, if f(x) = ex;
f 0(x) = limh!0
f(x+ h)¡ f(x)h
= limh!0
ex+h ¡ exh
;
and h = 0:0001 is very close to 0.Comparing the two graphs provides graphical ev-idence that
f 0(x) = ex:
36. Graph the function y = ex:
Sketch the lines tangent to the graph at x = ¡1;0, 1, 2.
Estimate the slopes of the tangent lines at thesepoints.At x = ¡1 the slope is a little steeper than 1
3 orapproximately 0.3̄.At x = 0 the slope is 1.At x = 1 the slope is a little steeper than 5
2 or 2.5.At x = 2 the slope is a little steeper than 713 or7.3̄.Note that e¡1 ¼ 0:36787944; e0 = 1;e1 = e ¼ 2:7182812; and e2 ¼ 7:3890561: Thevalues are close enough to the slopes of the tangentlines to convince us that de
x
dx = ex:
268 Chapter 4 CALCULATING THE DERIVATIVE
37. S(t) = 100¡ 90e¡0:3tS0(t) = ¡90(¡0:3)e¡0:3t
= 27e¡0:3t
(a) S0(1) = 27e¡0:3(1)
= 27e¡0:3
¼ 20(b) S0(5) = 27e¡0:3(5)
= 27e¡1:5
¼ 6(c) As time goes on, the rate of change of sales isdecreasing.
(d) S0(t) = 27e¡0:3t 6= 0, but
limt!1 S
0(t) = limt!1 27e¡0:3t = 0:
Although the rate of change of sales never equalszero, it gets closer and closer to zero as t increases.
38. C(x) =p900¡ 800 ¢ 1:1¡x
C(x) = [900¡ 800(1:1¡x)]1=2
=1
2[900¡ 800(1:1¡x)]¡1=2
¢ [¡800(ln 1:1)(1:1¡x)(¡1)]
C0(x) =(400 ln 1:1)(1:1¡x)p900¡ 800(1:1¡x)
(a) C 0(0) =400 ln 1:1p
100¼ 3:81
The marginal cost is $3.81.
(b) C0(20) =(400 ln 1:1)(1:1¡20)p900¡ 800(1:1¡20) ¼ 0:20
The marginal cost is $.20.
(c) As x becomes larger and larger, C0(x) ap-proaches zero.
39. A(t) = 10t2 2¡t
A0(t) = 10t2(ln 2)2¡t(¡1) + 20t 2¡tA0(t) = 10t 2¡t(¡t ln 2 + 2)(a) A0(2) = 10(2)(2¡2)(¡2 ln 2 + 2)
¼ 3:07(b) A0(4) = 10(4)(2¡4)(¡4 ln 2 + 2)
¼ ¡1:93(c) Public awareness increased at …rst and thendecreased.
40. f(t) = 0:028(3:824)t¡2001
f 0(t) = 0:028(ln 3:824)(3:824)t¡2001(1)= 0:028(ln 3:824)(3:824)t¡2001
(a) f 0(2002) = 0:028(ln 3:824)(3:824)2002¡2001
¼ 0:144The instantaneous rate of change in 2002 is 0.144million or 144,000 subscribers per year.
(b) f 0(2006) = 0:028(ln 3:824)(3:824)2006¡2001
¼ 30:7The instantaneous rate of change in 2006 is 30.7million or 30,700,000 subscribers per year.
41. y = 100e¡0:03045t
(a) For t = 0;
y = 100e¡0:03045(0)
= 100e0
= 100%:
(b) For t = 2;
y = 100e¡0:03045(2)
= 100e¡0:0609
¼ 94%:
(c) For t = 4;
y = 100e¡0:03045(4)
¼ 89%:
(d) For t = 6;
y0 = 100e¡0:03045(6)
¼ 83%:
(e) y0 = 100(¡0:03045)e¡0:03045t= ¡3:045e¡0:03045t
For t = 0;
y0 = ¡3:045e¡0:03045(0)= ¡3:045:
(f) For t = 2;
y0 = ¡3:045e¡0:03045(2)¼ ¡2:865:
(g) The percent of these cars on the road is de-creasing, but at a slower rate as they age.
Section 4.4 Derivatives of Exponential Functions 269
42. S(t) = 5000e0:1(e0:25t)
Let g(t) = 0:1e0:25t; withg0(t) = 0:1(e0:25t)(0:25) = 0:025e0:25t
S0(t) = 5000e0:1(e0:25t)(0:025e0:25t)
= 125e0:1(e0:25t)e0:25t
= 125e0:1(e0:25t)+0:25t
S0(8) = 125e0:1(e0:25¢8)+0:25(8)
= 125e0:1(e2)+2 ¼ 1934
The answer is b.
43. (a) G0 = 0:7;m = 10:3
G(t) =10:3
1 +¡10:30:7 ¡ 1
¢e¡0:03036(10:3)t
=10:3
1 + 13:71e¡0:3127t
(b) G0(t) = ¡10:3(1 + 13:71e¡0:3127t)¡2¢ 13:71e¡0:3127t(¡0:3127)
=44:1573051e¡0:3127t
(1 + 13:71e¡0:3127t)2
1990 when t = 5:
G(5) =10:3
1 + 13:71e¡0:3127(5)
¼ 2:66
G0(5) =44:1573051e¡0:3127(5)
[1 + 13:71e¡0:3127(5)]2
¼ 0:617The population in 1990 is 2.66 million and thegrowth rate is 0.617 million per year.
(c) 1995 when t = 10:
G(10) =10:3
1 + 13:71e¡0:3127(10)
¼ 6:43G0(10) =
44:1573051e¡0:3127(10)
[1 + 13:71e¡0:3127(10)]2
¼ 0:755The population in 1995 is 6.43 million and thegrowth rate is 0.755 million per year.
(d) 2000 when t = 15:
G(15) =10:3
1 + 13:71e¡0:3127(15)
¼ 9:15
G0(15) =44:1573051e¡0:3127(15)
[1 + 13:71e¡0:3127(15)]2
¼ 0:320
The population in 2000 is 9.15 million and thegrowth rate is 0.320 million per year.
(e) The rate of growth over time increases for awhile and then gradually decreases to 0.
44. (a) G0 = 0:7;m = 13:7
G(t) =13:7
1 +¡13:70:7 ¡ 1
¢e¡0:02352(13:7)t
=13:7
1 + 18:57e¡0:3222t
(b) G0(t) = ¡13:7(1 + 18:57e¡0:3222t)¡2¢ 18:57e¡0:3222t(¡0:3222)
=81:9705798e¡0:3222t
(1 + 18:57e¡0:3222t)2
1990 when t = 5:
G(5) =13:7
1 + 18:57e¡0:3222(5)
¼ 2:91
G0(5) =81:9705798e¡0:3222(5)
[1 + 18:57e¡0:3222(5)]2
¼ 0:738The population in 1990 is 2.91 million and thegrowth rate is 0.738 million per year.
(c) 1995 when t = 10:
G(10) =13:7
1 + 18:57e¡0:3222(10)
¼ 7:87
G0(10) =81:9705798e¡0:3222(10)
[1 + 18:57e¡0:3222(10)]2
¼ 1:079The population in 1995 is 7.87 million and thegrowth rate is 1.079 million per year.
(d) 2000 when t = 15:
G(15) =13:7
1 + 18:57e¡0:3222(15)
¼ 11:94
G0(15) =81:9705798e¡0:3222(15)
[1 + 18:57e¡0:3222(15)]2
¼ 0:495The population in 2000 is 11.94 million and thegrowth rate is 0.495 million per year.
(e) The rate of growth over time increases for awhile and then gradually decreases to 0.
270 Chapter 4 CALCULATING THE DERIVATIVE
45. p(t) = 9:865(1:025)t
p0(t) = 9:865(ln 1:025)(1:025)t
(a) For 1998, t = 18:
p0(18) = 9:865(ln 1:025)(1:025)18
= 0:380
The instantaneous rate of growth is 380,000 peopleper year.
(b) For 2006, t = 26:
p0(26) = 9:865(ln 1:025)(1:025)26
= 0:463
The instantaneous rate of growth is 463,000 peopleper year.
46. G(t) =m G0
G0 + (m¡G0)e¡kmt ;
where G0 = 200;m = 10,000; and k = 0:00001:
(a)G(t) =10,000(200)
200+(10,000¡200)e¡(0:00001)(10;000)t
G(t) =10,000
1 + 49e¡0:1t
(b) G(t) = 10,000(1 + 49e¡0:1t)¡1
G0(t) = ¡10,000(1 + 49e¡0:1t)¡2(¡4:9e¡0:1t)
=49,000e¡0:1t
(1 + 49e¡0:1t)2
G(6) =10,000
1 + 49e¡0:6¼ 359
G0(6) =49,000e¡0:6
(1 + 49e¡0:6)2¼ 34:6
(c) After 3 years, t = 36:
G(36) =10,000
1 + 49e¡3:6¼ 4276
G0(36) =49,000e¡3:6
(1 + 49e¡3:6)2¼ 245
(d) After 7 years, t = 84:
G(84) =10,000
1 + 49e¡8:4¼ 9891
G0(84) =49,000e¡8:4
(1 + 49e¡8:4)2¼ 10:8
(e) It increases for a while and then gradually de-creases to 0.
47. G(t) =mGo
Go + (m¡Go)e¡kmt ; where Go = 400;m = 5200; and k = 0:0001:
(a) G(t) =(5200)(400)
400 + (5200¡ 400)e(¡0:0001)(5200)t
=(400)(5200)
400 + 4800e¡0:52t
=5200
1 + 12e¡0:52t
(b) G(t) = 5200(1 + 12e¡0:52t)¡1
G0(t) = ¡5200(1 + 12e¡0:52t)¡2(¡6:24e¡0:52t)
=32,448e¡0:52t
(1 + 12e¡0:52t)2
G(1) =5200
1 + 12e¡0:52¼ 639
G0(1) =32,448e¡0:52
(1 + 12e¡0:52)2¼ 292
(c) G(4) =5200
1 + 12e¡2:08¼ 2081
G0(4) =32,448e¡2:08
(1 + 12e¡2:08)2¼ 649
(d) G(10) =5200
1 + 12e¡5:2¼ 4877
G0(10) =34; 448e¡5:2
(1 + 12e¡5:2)2¼ 167
(e) It increases for a while and then gradually de-creases to 0.
48. P (x) = 0:04e¡4x
(a) P (0:5) = 0:04e¡4(0:5)
= 0:04e¡2
¼ 0:005(b) P (1) = 0:04e¡4(1)
= 0:04e¡4
¼ 0:0007(c) P (2) = 0:04e¡4(2)
= 0:04e¡8
¼ 0:000013P 0(x) = 0:04(¡4)e¡4x
= ¡0:16e¡4x
(d) P 0(0:5) = ¡0:16e¡4(0:5)= ¡0:16e¡2¼ ¡0:022
(e) P 0(1) = ¡0:16e¡4(1)= ¡0:16e¡4¼ ¡0:0029
Section 4.4 Derivatives of Exponential Functions 271
(f) P 0(2) = ¡0:16e¡4(2)= ¡0:16e¡8¼ ¡0:000054
49. V (t) = 1100[1023e¡0:02415t + 1]¡4
(a) V (240) = 1100[1023e¡0:02415(240) + 1]¡4
¼ 3:857 cm3
(b) V =4
3¼r3, so r(V ) = 3
r3V
4¼
r(3:857) =3
r3(3:857)
4¼¼ 0:973 cm
(c) V (t) = 1100[1023e¡0:02415t + 1]¡4 = 0:5
[1023e¡0:02415t + 1]¡4 =1
2200
(1023e¡0:02415t + 1)4 = 2200
1023e¡0:02415t + 1 = 22001=4
1023e¡0:02415t = 22001=4 ¡ 1
e¡0:02415t =22001=4 ¡ 11023
¡0:02415t = lnμ22001=4 ¡ 11023
¶
t =1
¡0:02415 lnμ22001=4 ¡ 11023
¶¼ 214 months
The tumor has been growing for almost 18 years.
(d) As t goes to in…nity, e¡0:02415t goes to zero,and V (t) = 1100[1023e¡0:02415t+1]¡4 goes to 1100cm3, which corresponds to a sphere with a radius
of 3
q3(1100)4¼ ¼ 6:4 cm. It makes sense that a tu-
mor growing in a person’s body reaches a maxi-mum volume of this size.
(e) By the chain rule,
dV
dt= 1100(¡4)[1023e¡0:02415t + 1]¡5
¢ (1023)(e¡0:02415t)(¡0:02415)= 108,703.98[1023e¡0:02415t + 1]¡5e¡0:02415t
At t = 240,dV
dt¼ 0:282.
At 240 months old, the tumor is increasing in vol-ume at the instantaneous rate of 0.282 cm3/month.
50. P (t) = 0:00239e0:0957t
(a) P (25) = 0:00239e0:0957(25)
¼ 0:026%P (50) = 0:00239e0:0957(50)
¼ 0:286%P (75) = 0:00239e0:0957(75)
¼ 3:130%(b) P 0(t) = 0:00239e0:0957t(0:0957)
= 0:000228723e0:0957t
P 0(25) = 0:000228723e0:0957(25)
¼ 0:0025%=yearP 0(50) = 0:000228723e0:0957(50)
¼ 0:0274%=yearP 0(75) = 0:000228723e0:0957(75)
¼ 0:300%=year
51. URR=1¡½(0:96)0:14t¡1+
8t
126t+900[1¡(0:96)0:14t¡1]
¾(a)When t = 180, URR ¼ 0:589. The patient hasnot received adequate dialysis.
(b) When t = 240, URR ¼ 0:690. The patienthas received adequate dialysis.
(c) DtURR= ¡©(ln 0:96)(0:96)0:14t¡1(0:14)+
8t
126t+ 900(¡ ln 0:96)(0:96)0:14t¡1(0:14)
+(126t+ 900)(8)¡ 8t(126)
(126t+ 900)2[1¡ (0:96)0:14t¡1]
¾When t = 240;DtURR ¼ 0:001. The URR is in-creasing instantaneously by 0.001 units per minutewhen t = 240 minutes.The rate of increase is low, and it will take a signif-icant increase in time on dialysis to increase URRsigni…cantly.
52. p(x) = 0:001131e0:1268x
(a) p(25) = 0:001131e0:1268(25) ¼ 0:027(b) When p(x) = 1,
0:001131e0:1268x = 1
e0:1268x =1
0:001131
0:1268x = ln1
0:001131
x =1
0:1268ln
1
0:001131
¼ 54This represents the year 2024.
272 Chapter 4 CALCULATING THE DERIVATIVE
(c) p0(x) = 0:001131e0:1268x(0:1268)= 0:0001434108e0:1268x
p0(32) = 0:0001434108e0:1268(32)
¼ 0:008The marginal increase in the proportion per yearin 2002 is approximately 0.008.
53. M(t) = 3102e¡e¡0:022(t¡56)
(a)M(200) = 3102e¡e¡0:022(200¡56) ¼ 2974:15 grams,
or about 3 kilograms.
(b) As t gets very large, ¡e¡0:022(t¡56) goes tozero, e¡e
¡0:022(t¡56)goes to 1, andM(t) approaches
3102 grams or about 3.1 kilograms.
(c) 80% of 3102 is 2481.6.
2481:6 = 3102e¡e¡0:022(t¡56)
¡ ln 2481:63102
= e¡0:022(t¡56)
ln
μln3102
2481:6
¶= ¡0:022(t¡ 56)
t = ¡ 1
0:022ln
μln3102
2481:6
¶+ 56
¼ 124 days
(d) DtM(t) = 3102e¡e¡0:022(t¡56)
Dt(¡e¡0:022(t¡56))= 3102e¡e
¡:0022(t¡56)(¡e¡0:022(t¡56))(¡0:022)
= 68:244e¡e¡0:022(t¡56)
e¡0:022(t¡56)
When t = 200, DtM(t) ¼ 2:75 g/day.(e)
Growth is initially rapid, then tapers o¤.
(f)Day Weight Rate
50 991 24.88100 2122 17.73150 2734 7.60200 2974 2.75250 3059 0.94300 3088 0.32
54. L(t) = 589[1¡ e¡0:168(t+2:682)]
(a) Over time, the length of the average cutlass-…sh approaches 589 mm assymptotically.
(b) (0:95)589 = 589[1¡ e¡0:168(t+2:682)]0:95 = 1¡ e¡0:168(t+2:682)
ln(0:05) = ¡0:168(t+ 2:682)t = 15:1497 : : : ¼ 15 years old
(c) L0(t) = 589[¡e¡0:168(t+2:682)](¡0:168)= 98:952e¡0:168(t+2:682)
L0(4) = 98:952e¡0:168(4+2:682)
¼ 32:2 mm/yearWhen a cutlass…sh is 4 years old, it is growing inlength at a rate of 32.2 millimeters per year.
(d)
55. W1(t) = 509:7(1¡ 0:941e¡0:00181t)W2(t) = 498:4(1¡ 0:889e¡0:00219t)1:25
(a) Both W1 and W2 are strictly increasing func-tions, so they approach their maximum values ast approaches 1.
limt!1W1(t) = lim
t!1 509:7(1¡ 0:941e¡0:00181t)
= 509:7(1¡ 0) = 509:7limt!1W2(t) = lim
t!1 498:4(1¡ 0:889e¡0:00219t)1:25
= 498:4(1¡ 0)1:25 = 498:4So, the maximum values of W1 and W2 are 509.7kg and 498.4 kg respectively.
(b) 0:9(509:7) = 509:7(1¡ 0:941e¡0:00181t)0:9 = 1¡ 0:941e¡0:00181t0:1
0:941= e¡0:00181t
1239 ¼ t0:9(498:4) = 498:4(1¡ 0:889e¡0:00219t)1:25
0:9 = (1¡ 0:889e¡0:00219t)1:251¡ 0:90:80:889
= e¡0:00219t
1095 ¼ t
Section 4.4 Derivatives of Exponential Functions 273
Respectively, it will take the average beef cowabout 1239 days or 1095 days to reach 90% ofits maximum.
(c) W 01(t) = (509:7)(¡0:941)(¡0:00181)e¡0:00181t
¼ 0:868126e¡0:00181tW 01(750) ¼ 0:868126e¡0:00181(750)
¼ 0:22 kg/dayW 02(t) = (498:4)(1:25)(1¡ 0:889e¡0:00219t)0:25
¢ (¡0:889)(¡0:00219)e¡0:00219t¼ 1:21292e¡0:00219t(1¡ 0:889e¡0:00219t)0:25
W 02(750) ¼ 1:12192e¡0:00219(750)
¢ (1¡ 0:889e¡0:00219(750))0:25¼ 0:22 kg/day
Both functions yield a rate of change of about 0.22kg per day.
(d) Looking at the graph, the growth patternsof the two functions are very similar.
(e) The graphs of the rates of change of thetwo functions are also very similar.
56. R(c) = 3:19(1:006c)
dR
dt= 3:19(ln 1:006)(1:006c)
dc
dt
If c = 180 and dcdt = 15; then
dR
dt= 3:19(ln 1:006)(1:006180)(15)
¼ 0:840
57. (a) G0 = 0:00369;m = 1; k = 3:5
G(t) =1
1 +¡
10:00369 ¡ 1
¢e¡3:5(1)t
=1
1 + 270e¡3:5t
(b) G0(t) = ¡(1 + 270e¡3:5t)¡2 ¢ 270e¡3:5t(¡3:5)
=945e¡3:5t
(1 + 270e¡3:5t)2
G(1) =1
1 + 270e¡3:5(1)
¼ 0:109
G0(1) =945e¡3:5(1)
[1 + 270e¡3:5(1)]2
¼ 0:341The proportion is 0.109 and the rate of growth is0.341 per century.
(c) G(2) =1
1 + 270e¡3:5(2)
¼ 0:802
G0(2) =945e¡3:5(2)
[1 + 270e¡3:5(2)]2
¼ 0:555The proportion is 0.802 and the rate of growth is0.555 per century.
(d) G(3) =1
1 + 270e¡3:5(3)
¼ 0:993
G0(3) =945e¡3:5(2)
[1 + 270e¡3:5(2)]2¼ 0:0256
The proportion is 0.993 and the rate of growth is0.0256 per century.
(e) The rate of growth increases for a while andthen gradually decreases to 0.
58. H(N) = 1000(1¡ e¡kN); k = 0:1H 0 = ¡1000e¡0:1N(¡0:1)= 100e¡0:1N
(a) H 0(10) = 100e¡0:1(10)
¼ 36:8(b) H0(100) = 100e¡0:1(100)
¼ :00454(c) H 0(1000) = 100e¡0:1(1000)
¼ 0(d) 100e¡0:1N is always positive since powers ofe are never negative. This means that repetitionalways makes a habit stronger.
274 Chapter 4 CALCULATING THE DERIVATIVE
59. P (t) = 37:79(1:012)t
(a) P (10) = 37:79(1:021)10 ¼ 46:5So, the U.S. Latino-American population in 2010was approximately 46,500,000.
(b) P 0(t) = 37:79(ln 1:021)(1:021)t
¼ 0:7854(1:021)tP 0(10) = 0:7854(1:021)10
¼ 0:967The Latino-American population was increasingat the rate of 0.967 million/year at the end of theyear 2010.
60. A(t) = 500e¡0:31t
A0(t) = 500(¡0:31)e¡0:31t= ¡155e¡0:31t
(a) A0(4) = ¡155e¡0:31(4)= ¡155e¡1:24¼ ¡44:9 grams per year
(b) A0(6) = ¡155e¡0:31(6)= ¡155e¡1:86¼ ¡24:1 grams per year
(c) A0(10) = ¡155e¡0:31(10)= ¡155e¡3:1¼ ¡6:98 grams per year
(d) limt!1 A0(t) = lim
t!1 ¡155e¡0:31t = 0
As the number of years increases, the rate of changeapproaches zero.
(e) A0(t) will never equal zero, although as t in-creases, it approaches zero. Powers of e are alwayspositive.
61. Q(t) = CV (1¡ e¡t=RC)
(a) Ic =dQ
dt= CV
·0¡ e¡t=RC
μ¡ 1
RC
¶¸
= CV
μ1
RC
¶e¡t=RC
=V
Re¡t=RC
(b) When C = 10¡5 farads, R = 107 ohms,and V = 10 volts, after 200 seconds
Ic =10107 e
¡200=(107¢10¡5) ¼ 1:35£ 10¡7 amps
62. t(r) = 218 + 31(0:933)n
(a) t(55) = 218 + 31(0:933)55
¼ 218:7 sec(b) t0(n) = (31 ln 0:933)(0:933)n
t0(55) = (31 ln 0:933)(0:933)55
¼ ¡0:047The record is decreasing by 0.047 seconds per yearat the end of 2005.
(c) As n!1, (0:933)n ! 0 andt(n) ! 218. If the estimate is correct, then thisis the least amount of time that it will ever takea human to run a mile. At the end of 2005, theworld record stood at 3:43.13, or 223.13 seconds.
63. T (h) = 80e¡0:000065h
dT
dt= 80e¡0:000065h
μ¡0:000065dh
dt
¶
= ¡0:0052e¡0:000065hdhdt
If h = 1000 anddh
dt= 800; then
dT
dt= ¡0:0052e¡0:000065(1000)(800)¼ ¡3:90
The temperature is decreasing at 3.90 degrees/hr.
4.5 Derivatives of LogarithmicFunctions
1. y = ln (8x)
dy
dx=d
dx(ln 8x)
=d
dx(ln 8 + ln x)
=d
dx(ln 8) +
d
dx(ln x)
= 0 +1
x
=1
x
2. y = ln (¡4x)dy
dx=d
dx[ln (¡4x)] = d
dx[ln 4 + ln(¡x)]
=d
dxln 4 +
d
dxln(¡x) = 0 + ¡1
¡x =1
x
Section 4.5 Derivatives of Logarithmic Functions 275
3. y = ln (8¡ 3x)g(x) = 8¡ 3xg0(x) = ¡3dy
dx=g0(x)g(x)
=¡3
8¡ 3x or3
3x¡ 8
4. y = ln (1 + x3)
g(x) = 1 + x3
g0(x) = 3x2
dy
dx=g0(x)g(x)
=3x2
1 + x3
5. y = ln¯̄4x2 ¡ 9x¯̄
g(x) = 4x2 ¡ 9xg0(x) = 8x¡ 9dy
dx=g0(x)g(x)
=8x¡ 94x2 ¡ 9x
6. y = ln¯̄¡8x3 + 2x¯̄
g(x) = ¡8x3 + 2xg0(x) = ¡24x2 + 2dy
dx=¡24x2 + 2¡8x3 + 2x
7. y = lnpx+ 5
g(x) =px+ 5
= (x+ 5)1=2
g0(x) =1
2(x+ 5)¡1=2
dy
dx=
12(x+ 5)
¡1=2
(x+ 5)1=2
=1
2(x+ 5)
8. y = lnp2x+ 1 = ln (2x+ 1)1=2
g(x) = (2x+ 1)1=2
g0(x) =1
2(2x+ 1)¡1=2(2) = (2x+ 1)¡1=2
dy
dx=(2x+ 1)¡1=2
(2x+ 1)1=2=
1
2x+ 1
9. y = ln (x4 + 5x2)3=2
=3
2ln (x4 + 5x2)
dy
dx=3
2Dx [ln (x
4 + 5x2)]
g(x) = x4 + 5x2
g0(x) = 4x3 + 10x
dy
dx=3
2
μ4x3 + 10x
x4 + 5x2
¶
=3
2
·2x(2x2 + 5)
x2(x2 + 5)
¸
=3(2x2 + 5)
x(x2 + 5)
10. y = ln (5x3 ¡ 2x)3=2
=3
2ln (5x3 ¡ 2x)
dy
dx=3
2Dx ln (5x3 ¡ 2x)
g(x) = 5x3 ¡ 2xg0(x) = 15x2 ¡ 2dy
dx=3
2
μ15x2 ¡ 25x3 ¡ 2x
¶
=3(15x2 ¡ 2)2(5x3 ¡ 2x)
11. y = ¡5x ln(3x+ 2)
Use the product rule.
dy
dx= ¡5x
·d
dxln(3x+ 2)
¸
+ ln(3x+ 2)
·d
dx(¡5x)
¸
= ¡5xμ
3
3x+ 2
¶+ [ln(3x+ 2)](¡5)
= ¡ 15x
3x+ 2¡ 5 ln(3x+ 2)
12. y = (3x+ 7) ln (2x¡ 1)
Use the product rule.
dy
dx= (3x+ 7)
μ2
2x¡ 1¶+ [ln(2x¡ 1)](3)
=2(3x+ 7)
2x¡ 1 + 3 ln (2x¡ 1)
276 Chapter 4 CALCULATING THE DERIVATIVE
13. s = t2 ln jtjds
dt= t2 ¢ 1
t+ 2t ln jtj
= t+ 2t ln jtj= t(1 + 2 ln jtj)
14. y = x ln¯̄2¡ x2¯̄
Use the product rule.
dy
dx= x
μ1
2¡ x2¶(¡2x) + ln ¯̄2¡ x2¯̄
= ¡ 2x2
2¡ x2 + ln¯̄2¡ x2¯̄
15. y =2 ln (x+ 3)
x2
Use the quotient rule.
dy
dx=x2³
2x+3
´¡ 2 ln (x+ 3) ¢ 2x(x2)2
=2x2
x+3 ¡ 4x ln (x+ 3)x4
=2x2 ¡ 4x(x+ 3) ln (x+ 3)
x4(x+ 3)
=x[2x¡ 4(x+ 3) ln (x+ 3)]
x4(x+ 3)
=2x¡ 4(x+ 3) ln (x+ 3)
x3(x+ 3)
16. v =ln u
u3
Use the quotient rule.
dv
du=u3¡1u
¢¡ (ln u)(3u2)(u3)2
=u2 ¡ 3u2 ln u
u6
=u2(1¡ 3 ln u)
u6
=1¡ 3 ln u
u4
17. y =ln x
4x+ 7
Use the quotient rule.
dy
dx=(4x+ 7)
¡1x
¢¡ (ln x)(4)(4x+ 7)2
=4x+7x ¡ 4 ln x(4x+ 7)2
=4x+ 7¡ 4x ln xx(4x+ 7)2
18. y =¡2 ln x3x¡ 1
Use the quotient rule.
dy
dx=(3x¡ 1)(¡2) ¡ 1x¢¡ (¡2 ln x)(3)
(3x¡ 1)2
=¡2(3x¡1)
x + 6 ln x
(3x¡ 1)2
=¡2(3x¡ 1) + 6x ln x
x(3x¡ 1)2
=¡2(3x¡ 1¡ 3x ln x)
x(3x¡ 1)2
19. y =3x2
ln x
dy
dx=(ln x)(6x)¡ 3x2 ¡ 1x¢
(ln x)2
=6x ln x¡ 3x(ln x)2
20. y =x3 ¡ 12 ln x
dy
dx=(2 ln x)(3x2)¡ (x3 ¡ 1)(2) ¡ 1x¢
(2 ln x)2
=6x2 ln x¡ 2
x(x3 ¡ 1)
(2 ln x)2¢ xx
=6x3 ln x¡ 2(x3 ¡ 1)
4x (ln x)2
=3x3 ln x¡ (x3 ¡ 1)
2x (ln x)2
21. y = (ln jx+ 1j)4dy
dx= 4(ln jx+ 1j3
μ1
x+ 1
¶
=4(ln jx+ 1j)3
x+ 1
22. y =pln jx¡ 3j = (ln jx¡ 3j)1=2
dy
dx=1
2(ln jx¡ 3j)¡1=2 ¢ d
dx(ln jx¡ 3j)
=1
2(ln jx¡ 3j)1=2μ
1
x¡ 3¶
=1
2(x¡ 3)(ln jx¡ 3j)1=2
=1
2(x¡ 3)pln jx¡ 3j
Section 4.5 Derivatives of Logarithmic Functions 277
23. y = ln jln xjg(x) = ln x
g0(x) =1
x
dy
dx=g0(x)g(x)
=1x
ln x
=1
x ln x
24. y = (ln 4)(ln j3xj)dy
dx= (ln 4)
μ1
3x
¶(3)
=3 ln 4
3x
=ln 4
x
(Recall that ln 4 is a constant.)
25. y = ex2
ln x; x > 0
dy
dx= ex
2
μ1
x
¶+ (ln x)(2x)ex
2
=ex
2
x+ 2xex
2
ln x
26. y = e2x¡1 ln (2x¡ 1)dy
dx= (2)e2x¡1 ln (2x¡ 1)
+ (e2x¡1)μ
1
2x¡ 1¶(2)
= 2e2x¡1 ln (2x¡ 1) + 2e2x¡1
2x¡ 1
27. y =ex
ln x; x > 0
Use the quotient rule.
dy
dx=(ln x)ex ¡ ex ¡ 1x¢
(ln x)2¢ xx
=xex ln x¡ exx (ln x)2
28. p(y) =ln y
ey
p0(y) =ey ¢ 1y ¡ (ln y)ey
(ey)2
=ey ¡ y(ln y)ey
ye2y
=ey(1¡ y ln y)
ye2y
=1¡ y ln y
yey
29. g(z) = (e2z + ln z)3
g0(z) = 3(e2z + ln z)2μe2z ¢ 2 + 1
z
¶
= 3(e2z + ln z)2μ2ze2z + 1
z
¶
30. y = log (6x)
g(x) = 6x and g0(x) = 6:
dy
dx=
1
ln 10
μ6
6x
¶
=1
x ln 10
31. y = log(4x¡ 3)g(x) = 4x¡ 3g0(x) = 4
dy
dx=
1
ln 10¢ 4
4x¡ 3=
4
(ln 10)(4x¡ 3)32. y = log j1¡ xj
g(x) = 1¡ x and g0(x) = ¡1:dy
dx=
1
ln 10¢ ¡11¡ x
= ¡ 1
(ln 10)(1¡ x)or
1
(ln 10)(x¡ 1)33. y = log j3xj
g(x) = 3x and g0(x) = 3:
dy
dx=
1
ln 10¢ 33x
=1
x ln 10
278 Chapter 4 CALCULATING THE DERIVATIVE
34. y = log5p5x+ 2
g(x) =p5x+ 2 and g0(x) =
5
2p5x+ 2
:
dy
dx=
1
ln 5¢
52p5x+2p5x+ 2
=5
2 ln 5 (5x+ 2)
35. y = log7p4x¡ 3
g(x) =p4x¡ 3
g0(x) =4
2p4x¡ 3 =
2p4x¡ 3
dy
dx=
1
ln 7¢
2p4x¡3p4x¡ 3
=2
(ln 7)(4x¡ 3)
36. y = log3 (x2 + 2x)3=2
g(x) = (x2 + 2x)3=2 and
g0(x) =3
2(x2 + 2x)1=2 ¢ (2x+ 2)
= 3(x+ 1)(x2 + 2x)1=2
dy
dx=
1
ln 3¢ 3(x+ 1)(x
2 + 2x)1=2
(x2 + 2x)3=2
=3(x+ 1)
(ln 3)(x2 + 2x)
37. y = log2 (2x2 ¡ x)5=2
g(x) = (2x2 ¡ x)5=2 and
g0(x) =5
2(2x2 ¡ x)3=2 ¢ (4x¡ 1):
dy
dx=
1
ln 2¢52(2x
2 ¡ x)3=2 ¢ (4x¡ 1)(2x2 ¡ x)5=2
=5(4x¡ 1)
(2 ln 2)(2x2 ¡ x)
38. w = log8 (2p ¡ 1)g(p) = 2p ¡ 1g0(x) = (ln 2)2pdw
dp=
1
ln 8¢ (ln 2) 2
p
2p ¡ 1
=(ln 2)2p
(ln 8)(2p ¡ 1)39. z = 10y log y
g(y) = 10y and g0(y) = (ln 10)10y:
dz
dy= 10y ¢ 1
(ln 10)y+ log y ¢ (ln 10)10y
=10y
(ln 10)y+ (log y)(ln 10)10y
40. f(x) = epx ln(
px+ 5)
Use the product rule.
f 0(x)= epx
Ã1
2pxp
x+ 5
!+ [ln(
px+ 5)]e
px
μ1
2px
¶
=epx
2
·1p
x(px+ 5)
+ln(px+ 5)px
¸
41. f(x) = ln(xepx + 2)
g(x) = xepx + 2
g0(x) = x·epx
μ1
2px
¶¸+ e
px(1)
=epxpx
2+ e
px
=epx
2(px+ 2)
f 0(x) =g0(x)g(x)
=epx
2 (px+ 2)
xepx + 2
=epx(px+ 2)
2(xepx + 2)
Section 4.5 Derivatives of Logarithmic Functions 279
42. f(t) =ln(t2 + 1) + t
ln(t2 + 1) + 1
Use the quotient rule.
u(t) = ln(t2 + 1) + t; u0(t) =2t
t2 + 1+ 1
v(t) = ln(t2 + 1) + 1; v0(t) =2t
t2 + 1
f 0(t) =[ln(t2 + 1) + 1]
³2tt2+1 + 1
´¡ [ln(t2 + 1) + t]
³2tt2+1
´[ln(t2 + 1) + 1]2
=
2t ln(t2+1)t2+1 + 2t
t2+1 + ln(t2 + 1) + 1¡ 2t ln(t2+1)
t2+1 ¡ 2t2
t2+1
[ln(t2 + 1) + 1]2
=2t¡2t2t2+1 + ln(t2 + 1) + 1
[ln(t2 + 1) + 1]2
=2t¡ 2t2 + (t2 + 1) ln(t2 + 1) + t2 + 1
(t2 + 1)[ln(t2 + 1) + 1]2
=¡t2 + 2t+ 1+ (t2 + 1) ln(t2 + 1)
(t2 + 1)[ln(t2 + 1) + 1]2
43. f(t) =2t3=2
ln(2t3=2 + 1)
Use the quotient rule.
u(t) = 2t3=2; u0(t) = 3t1=2
v(t) = ln(2t3=2 + 1); v0(t) =3t1=2
2t3=2 + 1
f 0(t) =ln(2t3=2 + 1)(3t1=2)¡ 2t3=2
h3t1=2
2t3=2+1
i[ln(2t3=2 + 1)]2
=(3t1=2) ln(2t3=2 + 1)¡ 6t2
2t3=2+1
[ln(2t3=2 + 1)]2
=(6t2 + 3t1=2) ln(2t3=2 + 1)¡ 6t2(2t3=2 + 1)[ln(2t3=2 + 1)]2
45. Note that a is a constant.d
dxln jaxj = d
dx(ln jaj+ ln jxj)
=d
dxln jaj+ d
dxln x
= 0 +d
dxln jxj
=d
dxln jxj
Therefore,d
dxln jaxj = d
dxln jxj :
280 Chapter 4 CALCULATING THE DERIVATIVE
47. Graph
y =ln jx+ 0:0001j ¡ ln jxj
0:0001
on a graphing calculator. A good choice for the viewing window is [¡3; 3]:
If we graph y = 1x on the same screen, we see that the two graphs coincide.
By the de…nition of the derivative, if f(x) = ln jxj ;
f 0(x) = limh!0
f(x+ h)¡ f(x)h
= limh!0
ln jx+ hj ¡ ln jxjh
;
and h = 0:0001 is very close to 0.Comparing the two graphs provides graphical evidence that
f 0(x) =1
x:
48. Use the derivative of lnx:d ln[u(x)v(x)]
dx=
1
u(x)v(x)¢ d[u(x)v(x)]
dx
d lnu(x)
dx=
1
u(x)¢ d[u(x)]
dx
d ln v(x)
dx=
1
v(x)¢ d[v(x)]
dx
Then since ln[u(x)v(x)] = lnu(x) + ln v(x);
1
u(x)v(x)¢ d[u(x)v(x)]
dx=
1
u(x)¢ d[u(x)]
dx+
1
v(x)¢ d[v(x)]
dx:
Multiply both sides of this equation by u(x)v(x): Then
d[u(x)v(x)]
dx= v(x)
d[u(x)]
dx+ u(x)
d[v(x)]
dx:
This is the product rule.
49. Use the derivative of lnx:
d ln u(x)v(x)
dx=
1u(x)v(x)
¢dhu(x)v(x)
idx
=v(x)
u(x)¢dhu(x)v(x)
idx
d lnu(x) =1
u(x)¢ d[u(x)]
dx
d ln v(x) =1
v(x)¢ d[v(x)]
dx
Section 4.5 Derivatives of Logarithmic Functions 281
Then, since ln u(x)v(x) = lnu(x)¡ ln v(x);
v(x)
u(x)¢dhu(x)v(x)
idx
=1
u(x)¢ d[u(x)]
dx¡ 1
v(x)¢ d[v(x)]
dx:
Multiply both sides of this equation by u(x)v(x) : Then
dhu(x)v(x)
idx
=1
v(x)¢ d[u(x)]
dx¡ u(x)
[v(x)]2¢ d[v(x)]
dx
=v(x)
[v(x)]2¢ d[u(x)]
dx¡ u(x)
[v(x)]2¢ d[v(x)]
dx
=v(x) ¢ d[u(x)]
dx¡ u(x) ¢ d[v(x)]
dx[v(x)]2
This is the quotient rule.
50. Graph the function y = lnx: Sketch lines tangent to the graph at x = 12 ; 1, 2, 3, 4.
Estimate the slopes of the tangent lines at these points
x slope of tangent12 2
1 1
2 12
3 13
4 14
The values of the slopes at x are 1x :
Thus we see that d lnxdx = 1x :
51. The change-of-base theorem for logarithms states loga x =lnxlna : Find the derivative of each side.
d loga x
dx=lna ¢ d lnxdx ¡ lnx ¢ d lnadx
(lna)2
=lna ¢ 1x ¡ lnx ¢ 0
(lna)2
=1x
lna
=1x
x lna
282 Chapter 4 CALCULATING THE DERIVATIVE
52. (a) h(x) = u(x)v(x)
d
dxlnh(x) =
d
dxln[u(x)v(x)]
=d
dx[v(x) lnu(x)]
= v(x)d
dxlnu(x) + (lnu(x))v0(x)
= v(x)u0(x)u(x)
+ (lnu(x))v0(x)
=v(x)u0(x)u(x)
+ (lnu(x))v0(x)
(b) Since ddx lnh(x) =
h0(x)h(x) ;
h0(x) = h(x)d
dxlnh(x)
= h(x)
·v(x)u0(x)u(x)
+ (lnu(x))v0(x)¸
= u(x)v(x)·v(x)u0(x)u(x)
+ (lnu(x))v0(x)¸
53. h(x) = xx
u(x) = x; u0(x) = 1v(x) = x; v0(x) = 1
h0(x) = xx·x(1)
x+ (lnx)(1)
¸
= xx(1 + lnx)
54. h(x) = (x2 + 1)5x
u(x) = x2 + 1; u0(x) = 2xv(x) = 5x; v0(x) = 5
h0(x) = (x2 + 1)5x·5x(2x)
x2 + 1+ ln(x2 + 1) ¢ (5)
¸
= (x2 + 1)5x·10x2
x2 + 1+ 5 ln(x2 + 1)
¸
55. R(x) = 30 ln (2x+ 1)
C(x) =x
2
P (x) = R(x)¡C(x) = 30 ln (2x+ 1)¡ x2
The pro…t will be a maximum when the derivativeof the pro…t function is equal to 0.
P 0(x) = 30μ
1
2x+ 1
¶(2)¡ 1
2=
60
2x+ 1¡ 12
Now, P 0(x) =60
2x+ 1¡ 12= 0
when60
2x+ 1=1
2
120 = 2x+ 1
119
2= x:
Thus, a maximum pro…t occurs when x = 1192
or, in a practical sense, when 59 or 60 items aremanufactured. (Both 59 and 60 give the samepro…t.)
56. p = 100 +50
ln q; q > 1
(a) R = pq
R = 100q +50q
ln q
The marginal revenue is
dR
dq= 100 +
(ln q)(50)¡ 50q³1q
´(ln q)2
= 100 +50(ln q ¡ 1)(ln q)2
:
(b) The revenue from one more unit is dRdq for
q = 8:
100 +50(ln 8¡ 1)(ln 8)2
= $112:48
(c) The manager can use the information from (b)to decide if it is reasonable to sell additional items.If the revenue does not exceed the cost, there willbe no pro…t.
57. C(q) = 100q + 100
(a) The marginal cost is given by C 0(q):
C0(q) = 100
(b) P (q) = R(q)¡C(q)
= q
μ100 +
50
ln q
¶
¡ (100q + 100)
= 100q +50q
ln q¡ 100q ¡ 100
=50q
ln q¡ 100
Section 4.5 Derivatives of Logarithmic Functions 283
(c) The pro…t from one more unit is is dPdq for
q = 8:
dP
dq=(ln q)(50)¡ 50q
³1q
´(ln q)2
=50 ln q ¡ 50(ln q)2
=50(ln q ¡ 10)(ln q)2
When q = 8; the pro…t from one more unit is
50(ln 8¡ 1)(ln 8)2
= $12:48:
(d) The manager can use the information frompart (c) to decide whether it is pro…table to makeand sell additional items.
58. C(x) = 5 log2 x+ 10
C(x) =C(x)
x=5 log2 x+ 10
x
C0(x) =
x ¢ 5 ¢ 1ln 2 ¢ 1x¡(5 log2 x+10) ¢ 1
x2
=5¡ (ln 2)(5 log2 x+ 10)
x2 ln 2
(a) C0(10) =
5¡ (ln 2)(5 log2 10 + 10)(102) ln 2
¼ ¡0:19396
(b) C0(20) =
5¡ (ln 2)(5 log2 20 + 10)(202) ln 2
¼ ¡0:06099
59. A(w) = 4.688w0:8168¡0:0154 log10 w
(a) A(4000) = 4:688(4000)0:8168¡0:0154 log10 4000
¼ 2590 cm2
(b)A(w)
4:688= w0:8166¡0:0154 log10 w
lnA(w)¡ln 4:688 = (lnw)μ0:8168¡ 0:0154 lnw
ln 10
¶
A0(w)A(w)
=1
w
μ0:8168¡ 0:0154 lnw
ln 10
¶
+ lnw
μ¡0:0154ln 10
¶1
w
=0:8168
w¡ 0:0308ln 10
lnw
w
=1
w
μ0:8168¡ 0:0308
ln 10lnw
¶
A0(w) =1
w
μ0:8168¡ 0:0308
ln 10lnw
¶
¢ (4:688w0:8168¡0:0154 log10 w)A0(4000) ¼ 0:4571 ¼ 0:46 g/cm2When the infant weighs 4000 g, it is gaining0.46 square centimeters per gram of weightincrease.
(c)
60. lnμN(t)
N0
¶= 9:8901e¡e
2:54197¡0:2167t
(a)N(t)
1000= e9:8901e
¡e2:54197¡0:2167t
N(t) = 1000e9:8901e¡e2:54197¡0:2167t
(b) N 0(20) ¼ 1,307,416 bacteria/hourTwenty hours into the experiment, the number ofbacteria are increasing at a rate of 1,307,416 perhour.
(c) S(t) = ln
μN(t)
N0
¶
(d)
284 Chapter 4 CALCULATING THE DERIVATIVE
The two graphs have the same general shape, butN(t) is scaled much larger.
(e) limt!1 S(t) = lim
t!1 9:8901e¡e2:54197¡0:2167t
= 9:8901
S(t) = ln
μN(t)
N0
¶
N(t) = N0eS(t)
limt!1 N(t) = N0e
limt!1
S(t)= 1000e9:8901
¼ 19,734,033 bacteria
61. F (x) = 0:774 + 0:727 log(x)
(a) F (25,000) = 0:774 + 0:727 log(25,000)= 3:9713 : : :
¼ 4 kJ/day
(b) F 0(x) = 0:7271
x ln 10
=0:727
ln 10x¡1
F 0(25,000) =0:727
ln 1025,000¡1
¼ 0:000012629 : : :¼ 1:3£ 10¡5
When a fawn is 25 kg in size, the rate of changeof the energy expenditure of the fawn is about1:3£ 10¡5 kJ/day per gram.
(c)
62. log y = 1:54¡ 0:008x¡ 0:658 log x
(a) y(x) = 10(1:54¡0:008x¡0:658 log x)
= 101:54(10¡0:008x)(10¡0:658 logx)= 101:54(100:008)¡x(10logx)¡0:658
¼ 34:7(1:0186)¡xx¡0:658
(b) (i) y(20) = 34:7(1:0186)¡2020¡0:658
¼ 3:343(ii) y(40) = 34:7(1:0186)¡4040¡0:658
¼ 1:466
(c)dy
dx= ¡34:7(1:0186)¡xx¡0:658
μln(1:0186)+
0:658
x
¶
(i)dy
dx(20) = ¡0:17160 : : : ¼ ¡0:172
(ii)dy
dx(40) = ¡0:051120 : : : ¼ ¡0:0511
63. M(t) = (0:1t+ 1) lnpt
(a) M(15) = [0:1(15) + 1] lnp15
¼ 3:385
When the temperature is 15±C, the number ofmatings is about 3.
(b) M(25) = [0:1(25) + 1] lnp25
¼ 5:663
When the temperature is 25±C, the number ofmatings is about 6.
(c) M(t) = (0:1t+ 1) lnpt
= (0:1t+ 1) ln t1=2
M 0(t) = (0:1t+ 1)μ1
2¢ 1t
¶
+ (ln t1=2)(0:1)
= 0:1 lnpt+
1
2t(0:1t+ 1)
M 0(15) = 0:1 lnp15 +
1
2 ¢ 15[(0:1)(15) + 1]
¼ 0:22
When the temperature is 15±C, the rate of changeof the number of matings is about 0.22.
64. P (t) = (t+ 100) ln (t+ 2)
P 0(t) = (t+ 100)μ
1
t+ 2
¶+ ln (t+ 2)
P 0(2) = (102)μ1
4
¶+ ln (4)
¼ 26:9
P 0(8) = (108)μ1
10
¶+ ln (10)
¼ 13:1
Chapter 4 Review Exercises 285
65. M =2
3log
E
0:007
(a) 8:9 =2
3log
E
0:007
13:35 = logE
0:007
1013:35 =E
0:007
E = 0:007(1013:35)
¼ 1:567£ 1011 kWh(b) 10,000,000£ 247 kWh/month
= 2,470,000,000 kWh/month
1:567£ 1011 kWh2,470,000,000 kWh/month
¼ 63:4 months
(c) M =2
3logE ¡ 2
3log 0:007
dM
dE=2
3
μ1
(ln 10)E
¶
=2
(3 ln 10)E
When E = 70,000,
dM
dE=
2
(3 ln 10)70,000
¼ 4:14£ 10¡6
(d) dMdE varies inversely with E, so as E increases,dMdE decreases and approaches zero.
66. f(x) =29,000(2:322¡ logx)
x
f 0(x) =x
·29,000
μ¡ 1
(ln 10)x
¶̧¡29,000(2:322¡ logx)(1)x2
= 29,000 ¢ ¡1
ln 10 ¡ (2:322¡ log x)x2
= ¡29,000 ¢ 1 + (ln 10)(2:322¡ log x)x2 ln 10
(a) f(30) =29,000(2:322¡ log 30)
30
¼ 817
f 0(30) = ¡29,0001 + (ln 10)(2:322¡ log 30)(30)2 ln 10
¼ ¡41:2For a street 30 ft wide, the maximum tra¢c ‡owis 817 vehicles/hr, and the rate of change is ¡41:2vehicles/hr per foot.
(b) f(40) =29; 000(2:322¡ log 40)
40
¼ 522
f 0(40) = ¡29; 000 ¢ 1 + (ln 10)(2:322¡ log 40)(40)2 ln 10
¼ ¡20:9For a street 40 ft wide, the maximum tra¢c ‡owis 522 vehicles/hr, and the rate of change is ¡20:9vehicles/hr per foot.
Chapter 4 Review Exercises
1. y = 5x3 ¡ 7x2 ¡ 9x+p5dy
dx= 5(3x2)¡ 7(2x)¡ 9 + 0= 15x2 ¡ 14x¡ 9
2. y = 7x3 ¡ 4x2 ¡ 5x+p2dy
dx= 7(3x2)¡ 4(2x)¡ 5 + 0
= 21x2 ¡ 8x¡ 5
3. y = 9x8=3
dy
dx= 9
μ8
3x5=3
¶
= 24x5=3
4. y = ¡4x¡3dy
dx= ¡4(¡3x¡4)
= 12x¡4 or12
x4
5. f(x) = 3x¡4 + 6px
= 3x¡4 + 6x1=2
f 0(x) = 3(¡4x¡5) + 6μ1
2x¡1=2
¶
= ¡12x¡5 + 3x¡1=2 or ¡ 12x5+
3
x1=2
6. f(x) = 19x¡1 ¡ 8px= 19x¡1 ¡ 8x1=2
f 0(x) = 19(¡x¡2)¡ 8μ1
2x¡1=2
¶
= ¡19x¡2 ¡ 4x¡1=2 or ¡ 19x2¡ 4
x1=2
286 Chapter 4 CALCULATING THE DERIVATIVE
7. k(x) =3x
4x+ 7
k0(x) =(4x+ 7)(3)¡ (3x)(4)
(4x+ 7)2
=12x+ 21¡ 12x(4x+ 7)2
=21
(4x+ 7)2
8. r(x) =¡8x2x+ 1
r0(x) =(2x+ 1)(¡8)¡ (¡8x)(2)
(2x+ 1)2
=¡16x¡ 8 + 16x(2x+ 1)2
=¡8
(2x+ 1)2
9. y =x2 ¡ x+ 1x¡ 1
dy
dx=(x¡ 1)(2x¡ 1)¡ (x2 ¡ x+ 1)(1)
(x¡ 1)2
=2x2 ¡ 3x+ 1¡ x2 + x¡ 1
(x¡ 1)2
=x2 ¡ 2x(x¡ 1)2
10. y =2x3 ¡ 5x2x+ 2
dy
dx=(x+ 2)(6x2 ¡ 10x)¡ (2x3 ¡ 5x2)(1)
(x+ 2)2
=6x3 + 12x2 ¡ 10x2 ¡ 20x¡ 2x3 + 5x2
(x+ 2)2
=4x3 + 7x2 ¡ 20x
(x+ 2)2
11. f(x) = (3x2 ¡ 2)4f 0(x) = 4(3x2 ¡ 2)3[3(2x)]
= 24x(3x2 ¡ 2)3
12. k(x) = (5x3 ¡ 1)6k0(x) = 6(5x3 ¡ 1)5[5(3x2)]
= 90x2(5x3 ¡ 1)5
13. y =p2t7 ¡ 5
= (2t7 ¡ 5)1=2dy
dx=1
2(2t7 ¡ 5)¡1=2[2(7t6)]
= 7t6(2t7 ¡ 5)¡1=2 or 7t6
(2t7 ¡ 5)1=2
14. y = ¡3p8t4 ¡ 1 = ¡3(8t4 ¡ 1)1=2dy
dx= ¡3
μ1
2
¶(8t4 ¡ 1)¡1=2[8(4t3)]
= ¡48t3(8t4 ¡ 1)¡1=2
or¡48t3
(8t4 ¡ 1)1=2
15. y = 3x(2x+ 1)3
dy
dx= 3x(3)(2x+ 1)2(2) + (2x+ 1)3(3)
= (18x)(2x+ 1)2 + 3(2x+ 1)3
= 3(2x+ 1)2[6x+ (2x+ 1)]
= 3(2x+ 1)2(8x+ 1)
16. y = 4x2(3x¡ 2)5dy
dx= (4x2)[5(3x¡ 2)4(3)] + (3x¡ 2)5(8x)= 60x2(3x¡ 2)4 + 8x(3x¡ 2)5= 4x(3x¡ 2)4[15x+ 2(3x¡ 2)]= 4x(3x¡ 2)4(15x+ 6x¡ 4)= 4x(3x¡ 2)4(21x¡ 4)
17. r(t) =5t2 ¡ 7t(3t+ 1)3
r0(t) =(3t+1)3(10t¡7)¡(5t2¡7t)(3)(3t+1)2(3)
[(3t+ 1)3]2
=(3t+ 1)3(10t¡ 7)¡ 9(5t2 ¡ 7t)(3t+ 1)2
(3t+ 1)6
=(3t+ 1)(10t¡ 7)¡ 9(5t2 ¡ 7t)
(3t+ 1)4
=30t2 ¡ 11t¡ 7¡ 45t2 + 63t
(3t+ 1)4
=¡15t2 + 52t¡ 7
(3t+ 1)4
18. s(t) =t3 ¡ 2t(4t¡ 3)4
s0(t) =(4t¡3)4(3t2¡2)¡(t3¡2t)(4)(4t¡3)3(4)
[(4t¡ 3)4]2
=(4t¡ 3)4(3t2 ¡ 2)¡ 16(t3 ¡ 2t)(4t¡ 3)3
(4t¡ 3)8
=(4t¡ 3)3[(4t¡ 3)(3t2 ¡ 2)¡ 16(t3 ¡ 2t)]
(4t¡ 3)8
=(4t¡ 3)3(12t3 ¡ 9t2 ¡ 8t+ 6¡ 16t3 + 32t)
(4t¡ 3)8
=¡4t3 ¡ 9t2 + 24t+ 6
(4t¡ 3)5
Chapter 4 Review Exercises 287
19. p(t) = t2(t2 + 1)5=2
p0(t) = t2 ¢ 52(t2 + 1)3=2 ¢ 2t+ 2t(t2 + 1)5=2
= 5t3(t2 + 1)3=2 + 2t(t2 + 1)5=2
= t(t2 + 1)3=2[5t2 + 2(t2 + 1)1]
= t(t2 + 1)3=2(7t2 + 2)
20. g(t) = t3(t4 + 5)7=2
g0(t) = t3 ¢ 72(t4 + 5)5=2(4t3) + 3t2 ¢ (t4 + 5)7=2
= 14t6(t4 + 5)5=2 + 3t2(t4 + 5)7=2
= t2(t4 + 5)5=2[14t4 + 3(t4 + 5)]
= t2(t4 + 5)5=2(17t4 + 15)
21. y = ¡6e2xdy
dx= ¡6(2e2x) = ¡12e2x
22. y = 8e0:5x
dy
dx= 8(0:5e0:5x) = 4e0:5x
23. y = e¡2x3
g(x) = ¡2x3g0(x) = ¡6x2y0 = ¡6x2e¡2x3
24. y = ¡4ex2g(x) = x2
g0(x) = 2x
dy
dx= (2x)(¡4ex2)= ¡8xex2
25. y = 5x ¢ e2x
Use the product rule.
dy
dx= 5x(2e2x) + e2x(5)
= 10xe2x + 5e2x
= 5e2x(2x+ 1)
26. y = ¡7x2e¡3x
Use the product rule.
dy
dx= (¡7x2)(¡3e¡3x) + e¡3x(¡14x)= 21x2e¡3x ¡ 14xe¡3xor 7xe¡3x(3x¡ 2)
27. y = ln (2 + x2)
g(x) = 2 + x2
g0(x) = 2x
dy
dx=
2x
2 + x2
28. y = ln (5x+ 3)
g(x) = 5x+ 3
g0(x) = 5
dy
dx=
5
5x+ 3
29. y =ln j3xjx¡ 3
dy
dx=(x¡ 3) ¡ 13x¢ (3)¡ (ln j3xj)(1)
(x¡ 3)2
=x¡3x ¡ ln j3xj(x¡ 3)2 ¢ x
x
=x¡ 3¡ x ln j3xj
x(x¡ 3)2
30. y =ln j2x¡ 1jx+ 3
dy
dx=(x+ 3)
³2
2x¡1´¡ (ln j2x¡ 1j)(1)
(x+ 3)2¢ 2x¡ 12x¡ 1
=2(x+ 3)¡ (2x¡ 1) ln j2x¡ 1j
(2x¡ 1)(x+ 3)2
31. y =xex
ln (x2 ¡ 1)
dy
dx=ln (x2 ¡ 1)[xex + ex]¡ xex
³1
x2¡1´(2x)
[ln (x2 ¡ 1)]2
=ex(x+ 1) ln (x2 ¡ 1)¡ 2x2ex
x2¡1[ln (x2 ¡ 1)]2 ¢ x
2 ¡ 1x2 ¡ 1
=ex(x+ 1)(x2 ¡ 1) ln (x2 ¡ 1)¡ 2x2ex
(x2 ¡ 1)[ln (x2 ¡ 1)]2
32. y =(x2 + 1)e2x
ln x
dy
dx=lnx[(x2+1)(2e2x)+(e2x)(2x)]¡(x2+1)e2x ¡1x¢
(ln x)2¢ xx
=x ln x[2e2x(x2 + 1) + 2xe2x]¡ (x2 + 1)e2x
x(ln x)2
=e2x[2x (ln x)(x2 + 1+ x)¡ (x2 + 1)]
x(ln x)2
288 Chapter 4 CALCULATING THE DERIVATIVE
33. s = (t2 + et)2
s0 = 2(t2 + et)(2t+ et)
34. q = (e2p+1 ¡ 2)4
Use the chain rule.
dq
dp= 4(e2p+1 ¡ 2)3[2e2p+1]= 8e2p+1(e2p+1 ¡ 2)3
35. y = 3 ¢ 10¡x2
dy
dx= 3 ¢ (ln 10)10¡x2(¡2x)= ¡6x(ln 10) ¢ 10¡x2
36. y = 10 ¢ 2pxdy
dx= 10 ¢ (ln 2) ¢ 2
px ¢ 12x¡1=2
=5(ln 2)2
px
x1=2
37. g(z) = log2 (z3 + z + 1)
g0(z) =1
ln 2¢ 3z2 + 1
z3 + z + 1
=3z2 + 1
(ln 2)(z3 + z + 1)
38. h(z) = log (1 + ez)
h0(z) =1
ln 10¢ ez
1 + ez
=ez
(ln 10)(1 + ez)
39. f(x) = e2x ln(xex + 1)
Use the product rule.
f 0(x) = e2xμex + xex
xex + 1
¶+ [ln(xex + 1)](2e2x)
=(1 + x)e3x
xex + 1+ 2e2x ln(xex + 1)
40. f(x) =epx
ln(px+ 1)
Use the quotient rule.
u(x) = epx; u0(x) =
epx
2px
v(x) = ln(px+ 1); v0(x) =
1
2px(px+ 1)
f 0(x) =[ln(px+ 1)]
³epx
2px
´¡ epx
μ1
2px(px+ 1)
¶[ln(px+ 1)]2
=epx[(px+ 1) ln(
px+ 1)¡ 1]
2px(px+ 1)[ln(
px+ 1)]2
41. (a) Dx(f [g(x)]) at x = 2
= f 0[g(2)]g0(2)
= f 0(1)μ3
10
¶
= ¡5μ3
10
¶
= ¡32
(b) Dx(f [g(x)]) at x = 3
= f 0[g(3)]g0(3)
= f 0(2)μ4
11
¶
= ¡6μ4
11
¶
= ¡2411
42. (a) Dx(g[f(x)]) at x = 2
= g0[f(2)]f 0(2)
= g0(4)(¡6)
=6
13(¡6)
= ¡3613
(b) Dx(g[f(x)]) at x = 3
= g0[f(3)]f 0(3)
= g0(2)(¡7)
=3
10(¡7)
= ¡2110
Chapter 4 Review Exercises 289
44. y = x2 ¡ 6x; tangent at x = 2dy
dx= 2x¡ 6
Slope = y0(2) = 2(2)¡ 6 = ¡2
Use (2;¡8) and point-slope form.
y ¡ (¡8) = ¡2(x¡ 2)y + 8 = ¡2x+ 4y + 2x = ¡4
y = ¡2x¡ 4
45. y = 8¡ x2; x = 1y = 8¡ x2dy
dx= ¡2x
slope = y0(1) = ¡2(1) = ¡2
Use (1; 7) and m = ¡2 in the point-slope form.
y ¡ 7 = ¡2(x¡ 1)y ¡ 7 = ¡2x+ 22x+ y = 9
y = ¡2x+ 9
46. y =3
x¡ 1; tangent at x = ¡1
y =3
x¡ 1 = 3(x¡ 1)¡1
dy
dx= 3(¡1)(x¡ 1)¡2(1)= ¡3(x¡ 1)¡2
Slope = y0(¡1) = ¡3(¡1¡ 1)¡2 = ¡34
Use¡¡1;¡3
2
¢and point-slope form.
y ¡μ¡32
¶= ¡3
4[x¡ (¡1)]
y +3
2= ¡3
4(x+ 1)
y +6
4= ¡3
4x¡ 3
4
y = ¡34x¡ 9
4
47. y =x
x2 ¡ 1; x = 2dy
dx=(x2 ¡ 1) ¢ 1¡ x(2x)
(x2 ¡ 1)2
=¡x2 ¡ 1(x2 ¡ 1)2
The value of dydx when x = 2 is the slope.
m =¡(22)¡ 1(22 ¡ 1)2 =
¡59= ¡5
9
When x = 2;
y =2
4¡ 1 =2
3:
Use m = ¡59 with P
¡2; 23
¢:
y ¡ 23= ¡5
9(x¡ 2)
y ¡ 69= ¡5
9x+
10
9
y = ¡59x+
16
9
48. y =p6x¡ 2; tangent at x = 3
y =p6x¡ 2 = (6x¡ 2)1=2
dy
dx=1
2(6x¡ 2)¡1=2(6)
= 3(6x¡ 2)¡1=2
slope = y0(3) = 3(6 ¢ 3¡ 2)¡1=2= 3(16)¡1=2
=3
161=2
=3
4
Use (3; 4) and point-slope form.
y ¡ 4 = 3
4(x¡ 3)
y ¡ 164=3
4x¡ 9
4
y =3
4x+
7
4
290 Chapter 4 CALCULATING THE DERIVATIVE
49. y = ¡p8x+ 1; x = 3y = ¡(8x+ 1)1=2dy
dx= ¡1
2(8x+ 1)¡1=2(8)
dy
dx= ¡ 4
(8x+ 1)1=2
The value of dydx when x = 3 is the slope.
m = ¡ 4
(24 + 1)1=2= ¡4
5
When x = 3;
y = ¡p24 + 1 = ¡5:
Use m = ¡45 with P (3;¡5):
y + 5 = ¡45(x¡ 3)
y +25
5= ¡4
5x+
12
5
y = ¡45x¡ 13
5
50. y = ex; x = 0
dy
dx= ex
The value of dydx when x = 0 is the slopem = e0 = 1:
When x = 0; y = e0 = 1: Use m = 1 with P (0; 1):
y ¡ 1 = 1(x¡ 0)y = x+ 1
51. y = xex; x = 1
dy
dx= xex + 1 ¢ ex
= ex(x+ 1)
The value of dydx when x = 1 is the slope.
m = e1(1 + 1) = 2e
When x = 1; y = 1e1 = e: Use m = 2e withP (1; e):
y ¡ e = 2e(x¡ 1)y = 2ex¡ e
52. y = ln x; x = 1
dy
dx=1
x
The value of dydx when x = 1 is the slope m = 11 =
1:
When x = 1; y = ln 1 = 0: Use m = 1 withP (1; 0):
y ¡ 0 = 1(x¡ 1)y = x¡ 1
53. y = x ln x; x = e
dy
dx= x ¢ 1
x+ 1 ¢ ln x
= 1+ ln x
The value of dydx when x = e is the slope
m = 1 + ln e = 1 + 1 = 2:
When x = e; y = e ln e = e ¢ 1 = e: Use m = 2
with P (e; e):
y ¡ e = 2(x¡ e)y = 2x¡ e
54. The slope of the graph of y = x+k is 1. First, we…nd the point on the graph of f(x) =
p2x¡ 1 at
which the slope is also 1.
f(x) = (2x¡ 1)1=2
f 0(x) =1
2(2x¡ 1)¡1=2(2)
f 0(x) =1p2x¡ 1
The slope is 1 when
1p2x¡ 1 = 1
1 =p2x¡ 1
1 = 2x¡ 12x = 2
x = 1;
andf(1) = 1:
Therefore, at P (1; 1) on the graph of f(x) =p2x¡ 1;
the slope is 1. An equation of the tangent line is
y ¡ 1 = 1(x¡ 1)y ¡ 1 = x¡ 1
y = x+ 0:
Chapter 4 Review Exercises 291
Any tangent line intersects the curve in exactlyone point.From this we see that if k = 0; there is one pointof intersection.
The graph of f is below the line y = x+0: There-fore, if k > 0; the graph of y = x + k will notintersect the graph.
Consider the point Q(12 ; 0) on the graph. We …ndan equation of the line through Q with slope 1.
y ¡ 0 = 1μx¡ 1
2
¶
y = x¡ 12
The line with a slope of 1 through Q(12 ; 0) willintersect the graph in two points. One is Q andthe other is some point on the graph to the rightof P:The graph of y = x+0 intersects the graph in onepoint, while the graph of y = x¡ 1
2 intersects it intwo points. If we use a value of k in y = x+k with¡12 < k < 0; we will have a line with a y-intercept
between ¡12 and a 0 and a slope of 1 which will
intersect the graph in two points.If k; the y-intercept, is less than ¡1
2 ; the graph ofy = x+ k will be below point Q and will intersectthe graph of f in exactly one point.
To summarize, the graph of y = x+k will intersectthe graph of f(x) =
p2x¡ 1 in
(1) no points if k > 0;
(2) exactly one point if k = 0 or if k < ¡12 ;
(3) exactly two points if ¡12 · k < 0:
55. (a) Use the chain rule.
Let g(x) = lnx: Then g0(x) =1
x:
Let y = g[f(x)]: Thendy
dx= g0[f(x)] ¢ f 0(x):
so
d ln f(x)
dx=
1
f(x)¢ f 0(x) = f 0(x)
f(x):
(b)^f =
f 0(x)f(x)
;^g= f
g0(x)g(x)
^fg =
(fg)0(x)(fg)(x)
=f(x) ¢ g0(x) + g(x) ¢ f 0(x)
f(x)g(x)
=f(x) ¢ g0(x)f(x) ¢ g(x) +
g(x) ¢ f 0(x)f(x) ¢ g(x)
=g0(x)g(x)
+f 0(x)f(x)
=^g +
^f or
^f +
^g
56. Using the result^fg=
^f +
^g; the total amount
of tuition collected goes up by approximately2% + 3% = 5%.Let T = tuition per person before the increase andS = number of students before the increase. Thenthe new tuition is 1.03T and the new numbers ofstudents is 1.02S; so the total amount of tuitioncollected is (1:03T )(1:02S) = 1:0506TS; which isan increase of 5.06%.
57. C(x) =px+ 1
C(x) =C(x)
x=
px+ 1
x
=(x+ 1)1=2
x
C0(x) =
x£12(x+ 1)
¡1=2¤¡ (x+ 1)1=2(1)x2
=12x(x+ 1)
¡1=2 ¡ (x+ 1)1=2x2
=x(x+ 1)¡1=2 ¡ 2(x+ 1)1=2
2x2
=(x+ 1)¡1=2[x¡ 2(x+ 1)]
2x2
=(x+ 1)¡1=2(¡x¡ 2)
2x2
=¡x¡ 2
2x2(x+ 1)1=2
292 Chapter 4 CALCULATING THE DERIVATIVE
58. C(x) =p3x+ 2
C(x) =C(x)
x=
p3x+ 2
x=(3x+ 2)1=2
x
C0(x) =
x£12(3x+ 2)
¡1=2(3)¤¡ (3x+ 2)1=2(1)
x2
=32x(3x+ 2)
¡1=2 ¡ (3x+ 2)1=2x2
=3x(3x+ 2)¡1=2 ¡ 2(3x+ 2)1=2
2x2
=(3x+ 2)¡1=2[3x¡ 2(3x+ 2)]
2x2
=3x¡ 6x¡ 42x2(3x+ 2)1=2
=¡3x¡ 4
2x2(3x+ 2)1=2
59. C(x) = (x2 + 3)3
C(x) =C(x)
x=(x2 + 3)3
x
C0(x) =
x[3(x2 + 3)2(2x)]¡ (x2 + 3)3(1)x2
=6x2(x2 + 3)2 ¡ (x2 + 3)3
x2
=(x2 + 3)2[6x2 ¡ (x2 + 3)]
x2
=(x2 + 3)2(5x2 ¡ 3)
x2
60. C(x) = (4x+ 3)4
C(x) =C(x)
x=(4x+ 3)4
x
C0(x) =
x[4(4x+ 3)3(4)]¡ (4x+ 3)4(1)x2
=16x(4x+ 3)3 ¡ (4x+ 3)4
x2
=(4x+ 3)3[16x¡ (4x+ 3)]
x2
=(4x+ 3)3(12x¡ 3)
x2
61. C(x) = 10¡ e¡x
C(x) =C(x)
x
C(x) =10¡ e¡x
x
C0(x) =
x(e¡x)¡ (10¡ e¡x) ¢ 1x2
=e¡x(x+ 1)¡ 10
x2
62. C(x) = ln (x+ 5)
C(x) =ln (x+ 5)
x
C0(x) =
x ¢ 1x+5 ¡ ln (x+ 5) ¢ 1
x2
=x¡ (x+ 5) ln (x+ 5)
x2(x+ 5)
63. S(x) = 1000 + 60px+ 12x
= 1000 + 60x1=2 + 12x
dS
dx= 60
μ1
2x¡1=2
¶+ 12
= 30x¡1=2 + 12 =30px+ 12
(a)dS
dx(9) =
30p9+ 12 =
30
3+ 12 = 22
Sales will increase by $22 million when $1000 moreis spent on research.
(b)dS
dx(16) =
30p16+ 12 =
30
4+ 12 = 19:5
Sales will increase by $19.5 million when $1000more is spent on research.
(c)dS
dx(25) =
30p25+ 12 =
30
5+ 12 = 18
Sales will increase by $18 million when $1000 moreis spent on research.
(d) As more money is spent on research, the in-crease in sales is decreasing.
64. P (x) =x2
2x+ 1
P 0(x) =(2x+ 1)(2x)¡ x2(2)
(2x+ 1)2
=4x2 + 2x¡ 2x2(2x+ 1)2
=2x2 + 2x
(2x+ 1)2
(a) P 0(4) =2(4)2 + 2(4)
[2(4) + 1]2
=40
81¼ 0:4938
In dollars, this is 4081(100) ¼ $49:38; which is the
approximate increase in pro…t from selling the …fthunit.
Chapter 4 Review Exercises 293
(b) P 0(12) =2(12)2 + 2(12)
[2(12) + 1]2
=312
625= 0:4992
In dollars, this is 312625(100) ¼ $49:92; which is
the approximate increase in pro…t from selling thethirteenth unit.
(c) P 0(20) =2(20)2 + 2(20)
[2(20) + 1]2
=840
1681¼ 0:4997
In dollars, this is 8401681(100) ¼ $49:97; which is
the approximate increase in pro…t from selling thetwenty-…rst unit.
(d) As the number sold increases, the marginalpro…t increases.
(e) The average pro…t is de…ned by
P (x) =P (x)
x=
x2
2x+1
x=
x
2x+ 1
The marginal average pro…t is given by
d
dx(P (x)) =
(2x+ 1)(1)¡ (x)(2)(2x+ 1)2
=2x+ 1¡ 2x(2x+ 1)2
=1
(2x+ 1)2
The marginal average pro…t when 4 units are soldis
d
dx(P (4)) =
1
[2(4) + 1]2
=1
81¼ 0:0123
The average pro…t is going up at a rate of 100¡181
¢ ¼$1:23 per unit when 4 units are sold.
65. T (x) =1000 + 60x
4x+ 5
T 0(x) =(4x+ 5)(60)¡ (1000 + 60x)(4)
(4x+ 5)2
=240x+ 300¡ 4000¡ 240x
(4x+ 5)2
=¡3700(4x+ 5)2
(a) T 0(9) =¡3700
[4(9) + 5]2
=¡37001681
¼ ¡2:201
Costs will decrease $2201 for the next $100 spenton training.
(b) T 0(19) =¡3700
[4(19) + 5]2
=¡37006561
¼ ¡0:564Costs will decrease $564 for the next $100 spenton training.
(c) Costs will always decrease because
T 0(x) =¡3700(4x+ 5)2
will always be negative.
66. A(r) = 1000³1 +
r
400
´48A0(r) = 1000 ¢ 48
³1 +
r
400
´47¢ 1400
= 120³1 +
r
400
´47
A0(5) = 120μ1 +
5
400
¶47¼ 215:15
The balance increases by approximately $215.15for every 1% increase in the interest rate whenthe rate is 5%.
67. A(r) = 1000e12r=100
A0(r) = 1000e12r=100 ¢ 12100
= 120e12r=100
A0(5) = 120e0:6 ¼ 218:65The balance increases by approximately $218.65for every 1% increase in the interest rate whenthe rate is 5%.
68. T (r) =ln 2
ln¡1 + r
100
¢T (r) = ln 2
hln³1 +
r
100
´i¡1T 0(r) = (ln 2)(¡1)
hln³1 +
r
100
´i¡2¢
1100
1 + r100
T 0(r) =¡ ln 2
(100 + r)£ln¡1 + r
100
¢¤2T 0(5) = ¡ ln 2
105 (ln 1:05)2¼ ¡2:77
The doubling time decreases by approximately 2.77years for every 1% increase in the interest ratewhen the interest rate is 5%.
294 Chapter 4 CALCULATING THE DERIVATIVE
69. f(t) = 1:5207t4 ¡ 19:166t3 + 62:91t2 + 6:0726t+ 1026f 0(t) = 1:5207(4t3)¡ 19:166(3t2) + 62:91(2t) + 6:0726
= 6:0828t3 ¡ 57:498t2 + 125:82t = 7 corresponds to the beginning of 2005.
f 0(7) = 6:0828(7)3 ¡ 57:498(7)2 + 125:82(7) + 6:0726¼ 156
Rents were increasing at the rate of $156 per month per year.
70. (a) Using the regression feature on a graphing calculator, a cubic function that models the data is
y = (7:259£ 10¡5)t3 ¡ 0:01217t2 + 0:01447t+ 66:32:
Using the regression feature on a graphing calculator, a quartic function that models the data is
y = (1:896£ 10¡6)t4 ¡ 3:676£ 10¡4t3 + 0:02002t2 ¡ 0:7448t+ 68:52
(b) Using the cubic function, dydx at x = 90 is about 0:41 percent per year. Using the quartic function,dydx at
x = 90 is about ¡0:55 percent per year.71. (a) Using the regression feature on a graphing calculator, a cubic function that models the data is
y = (2:458£ 10¡5)t3 ¡ (6:767£ 10¡4)t2 ¡ 0:02561t+ 2:031:
Using the regression feature on a graphing calculator, a quartic function that models the data is
y = (¡1:314£ 10¡6)t4 + (3:363£ 10¡4)t3 ¡ 0:02565t2 + 0:7410t¡ 5:070:
(b) Using the cubic function, dydx at x = 95 is about 0:51 dollar per year. Using the quartic function,dydx at
x = 95 is about 0:47 dollar per year.
72. P (t) = ae0:05t
P 0(t) = ae0:05t(0:05)P 0(t) = P (t)(0:05)
If P (t) = 1,000,000; thenP 0(t) = 1,000,000(0:05) = 50,000.
The population is growing at a rate of 50,000 per year.
73. G(t) =m Go
Go + (m¡Go)e¡kmt ; where m = 30,000, Go = 2000; and k = 5 ¢ 10¡6:
(a) G(t) =(30,000)(2000)
2000 + (30,000¡ 2000)e¡5¢10¡6(30;000)t =30; 000
1 + 14e¡0:15t
(b) G(t) = 30; 000(1 + 14e¡0:15t)¡1
G(6) = 30,000(1 + 14e¡0:90)¡1 ¼ 4483G0(t) = ¡30; 000(1 + 14e¡0:15t)¡2(¡2:1e¡0:15t) = 63; 000e¡0:15t
(1 + 14e¡0:15t)2
G0(6) =63; 000e¡0:90
(1 + 14e¡0:90)2¼ 572
The population is 4483, and the rate of growth is 572.
Chapter 4 Review Exercises 295
74. L(t) = 71:5(1¡ e¡0:1t) andW (L) = 0:01289 ¢ L2:9
(a) L(5) = 71:5(1¡ e¡0:5) ¼ 28:1The approximate length of a 5-year-old monkey-face is 28.1 cm.
(b) L0(t) = 71:5(0:1e¡0:1t)L0(5) = 71:5(0:1e¡0:5)
¼ 4:34The length is growing by about 4.34 cm/year.
(c) W [L(5)] ¼ 0:01289(28:1)2:9 ¼ 205The approximate weight is 205 grams.
(d) W 0(L) = 0:01289(2:9)L1:9
= 0:037381L1:9
W 0[L(5)] ¼ 0:037381(28:1)1:9¼ 21:2
The rate of change of the weight with respect tolength is 21.2 grams/cm.
(e)dW
dt=dW
dL¢ dLdt
¼ (21:2)(4:34)¼ 92:0
The weight is growing at about 92.0 grams/year.
75. M(t) = 3583e¡e¡0:020(t¡66)
(a) M(250) = 3583e¡e¡0:020(250¡66)
¼ 3493:76 grams,or about 3.5 kilograms
(b) As t!1;¡e¡0:020(t¡66)! 0; e¡e¡0:020(t¡66) ! 1,
and M(t)! 3583 grams or about 3.6 kilograms.
(c) 50% of 3583 is 1791.5.
1791:5 = 3583e¡e¡0:020(t¡66)
ln
μ1791:5
3583
¶= ¡e¡0:020(t¡66)
ln
μln3583
1791:5
¶= ¡0:020(t¡ 66)
t = ¡ 1
0:020ln
μln3583
1791:5
¶+ 66
¼ 84 days
(d) DtM(t)= 3583e¡e
¡0:020(t¡66)Dt(¡e¡0:020(t¡66))
= 3583e¡e¡:0:020(t¡66)
(¡e¡0:020(t¡66))(¡0:020)= 71:66e¡e
¡0:020(t¡66)(e¡0:020(t¡66))
when t = 250, DtM(t) ¼ 1:76 g/day.(e)
Growth is initially rapid, then tapers o¤.
(f) Day Weight Rate
50 904 24.90100 2159 21.87150 2974 11.08200 3346 4.59250 3494 1.76300 3550 0.66
76. h(t) = 37:79(1:021)t
h0(t) = 37:79(ln 1:021)(1:021)t
(a) h0(5) = 37:79(ln 1:021)(1:021)5
¼ 0:871In 2005, the instantaneous rate of change is 871,000per year.
(b) h0(25) = 37:79(ln 1:021)(1:021)25
¼ 1:320In 2025, the instantaneous rate of change will be1,320,000 per year.
77. f(t) =8
t+ 1+
20
t2 + 1
(a) The average velocity from t = 1 to t = 3 isgiven by
average velocity =f(3)¡ f(1)3¡ 1
=
¡84 +
2010
¢¡ ¡82 + 202
¢2
=4¡ 142
= ¡5Belmar’s average velocity between 1 sec and 3 secis ¡5 ft/sec.
296 Chapter 4 CALCULATING THE DERIVATIVE
(b) f(t) = 8(t+ 1)¡1 + 20(t2 + 1)¡1
f 0(t) = ¡8(t+ 1)¡2 ¢ 1¡ 20(t2 + 1)¡2 ¢ 2t
= ¡ 8
(t+ 1)2¡ 40t
(t2 + 1)2
f 0(3) = ¡ 8
16¡ 120100
= ¡0:5¡ 1:2= ¡1:7
Belmar’s instantaneous velocity at 3 sec is ¡1:7ft/sec.
78. p(x) = 1:757(1:0249)x¡1930
p0(x) = 1:757(ln 1:0249)(1:0249)x¡1930
p0(2000) = 1:757(ln 1:0249)(1:0249)2000¡1930
¼ 0:242The production of corn is increasing at a rate of0.242 billion bushels per year in 2000.
79. (a) N(t) = N0e¡0:217t; where t = 1 and N0 = 210
N(1) = 210e¡0:217(1)
¼ 169
The number of words predicted to be in use in1950 is 169, and the actual number in use was167.
(b) N(2) = 210e¡0:217(2)
¼ 136In 2050 the will be about 136 words still beingused.
(c) N(t) = 210e¡0:217t
N 0(t) = 210e¡0:217t ¢ (¡0:217)= ¡45:57e¡0:217t
N 0(2) = ¡45:57e¡0:217(2)¼ ¡30
In the year 2050 the number of words in use willbe decreasing by 30 words per millenium.
80. f(x) = k(x¡ 49)6 + :8f 0(x) = k ¢ 6(x¡ 49)5
= (3:8£ 10¡9)(6)(x¡ 49)5= (2:28£ 10¡8)(x¡ 49)5
(a) f 0(20) = (2:28£ 10¡8)(20¡ 49)5¼ ¡0:4677
fatalities per 1000 licensed drivers per 100 millionmiles per year.
At the age of 20, each extra year results in a de-crease of 0.4677 fatalities per 1000 licensed driversper 100 million miles.
(b) f 0(60) = (2:28£ 10¡8)(60¡ 49)5¼ 0:003672
fatalities per 1000 licensed drivers per 100 millionmiles per year.
At the age of 60, each extra year results in anincrease of 0.003672 fatalities per 1000 licenseddrivers per 100 million miles.