c:swp2507calwaism2001cwa ch 7 pdf final€¦ · dy = 16y4 4 + 9y3 3 ¡ 6y2 2 +3y +c =4y4 +3y3 ......
TRANSCRIPT
Chapter 7
INTEGRATION
7.1 Antiderivatives
1. If F (x) and G(x) are both antiderivatives of f(x),then there is a constant C such that
F (x)¡G(x) = C:The two functions can di¤er only by a constant.
5.Z6dk = 6
Z1dk
= 6
Zk0 dy
= 6 ¢ 11k0+1 +C
= 6k +C
6.Z9 dy = 9
Z1 dy = 9
Zy0 dy
=9
1y0+1 + C
= 9y +C
7.Z(2z + 3)dz
= 2
Zz dz + 3
Zz0 dz
= 2 ¢ 1
1 + 1z1+1 + 3 ¢ 1
0 + 1z0+1 +C
= z2 + 3z +C
8.Z(3x¡ 5) dx
= 3
Zx dx¡ 5
Zx0 dx
= 3 ¢ 12x2 ¡ 5 ¢ 1
1x+C
=3x2
2¡ 5x+ C
9.Z(6t2 ¡ 8t+ 7)dt
= 6
Zt2 dt¡ 8
Zt dt+ 7
Zt0 dt
=6t3
3¡ 8t
2
2+ 7t+C
= 2t3 ¡ 4t2 + 7t+C
10.Z(5x2 ¡ 6x+ 3)dx
= 5
Zx2 dx¡ 6
Zx dx+ 3
Zx0 dx
=5x3
3¡ 6x
2
2+ 3x+C
=5x3
3¡ 3x2 + 3x+C
11.Z(4z3 + 3z2 + 2z ¡ 6)dz
= 4
Zz3 dz + 3
Zz2 dz + 2
Zz dz
¡ 6Zz0 dz
=4z4
4+3z3
3+2z2
2¡ 6z +C
= z4 + z3 + z2 ¡ 6z +C
12.Z(16y3 + 9y2 ¡ 6y + 3)dy
= 16
Zy3 dy + 9
Zy2 dy ¡ 6
Zy dy + 3
Zdy
=16y4
4+9y3
3¡ 6y
2
2+ 3y +C
= 4y4 + 3y3 ¡ 3y2 + 3y +C
13.Z(5pz +
p2)dz = 5
Zz1=2 dz +
p2
Zdz
=5z3=2
32
+p2z +C
= 5
μ2
3
¶z3=2 +
p2z +C
=10z3=2
3+p2z +C
14.Z(t1=4 + ¼1=4)dt =
t1=4+1
14 + 1
+ ¼1=4t+C
=t5=4
54
+ ¼1=4t+C
=4t5=4
5+ ¼1=4t+C
443
444 Chapter 7 INTEGRATION
15.Z5x(x2 ¡ 8)dx =
Z(5x3 ¡ 40x)dx
=5x4
4¡ 40x
2
2+C
=5x4
4¡ 20x2 +C
16.Zx2(x4 + 4x+ 3)dx =
Z(x6 + 4x3 + 3x2)dx
=x7
7+4x4
4+3x3
3+ C
=x7
7+ x4 + x3 +C
17.Z(4pv ¡ 3v3=2)dv
= 4
Zv1=2 dv ¡ 3
Zv3=2 dv
=4v3=2
32
¡ 3v5=2
52
+C
=8v3=2
3¡ 6v
5=2
5+C
18.Z(15x
px+ 2
px)dx
= 15
Zx(x1=2)dx+ 2
Zx1=2 dx
= 15
Zx3=2 dx+ 2
Zx1=2 dx
=15x5=2
52
+2x3=2
32
+C
= 15
μ2
5
¶x5=2 + 2
μ2
3
¶x3=2 +C
= 6x5=2 +4x3=2
3+C
19.Z(10u3=2 ¡ 14u5=2)du
= 10
Zu3=2 du¡ 14
Zu5=2 du
=10u5=2
52
¡ 14u7=2
72
+C
= 10
μ2
5
¶u5=2 ¡ 14
μ2
7
¶u7=2 +C
= 4u5=2 ¡ 4u7=2 +C
20.Z(56t5=2 + 18t7=2)dt
= 56
Zt5=2 dt+ 18
Zt7=2 dt
=56t7=2
72
+18t9=2
92
+C
= 16t7=2 + 4t9=2 +C
21.Z μ
7
z2
¶dz =
Z7z¡2 dz
= 7
Zz¡2dz
= 7
μz¡2+1
¡2 + 1¶+C
=7z¡1
¡1 +C
= ¡7z+C
22.Z μ
4
x3
¶dx =
Z4x¡3 dx
= 4
Zx¡3 dx
=4x¡2
¡2 +C
= ¡2x¡2 +C
=¡2x2+C
23.Z μ
¼3
y3¡p¼py
¶dy =
Z¼3y¡3 dy ¡
Z p¼y¡1=2 dy
= ¼3Zy¡3 dy ¡p¼
Zy¡1=2 dy
= ¼3μy¡2
¡2¶¡p¼
μy1=2
12
¶+C
= ¡ ¼3
2y2¡ 2p¼y +C
24.Z μp
u+1
u2
¶du =
Zu1=2 du+
Zu¡2 du
=u3=2
32
+u¡1
¡1 +C
=2u3=2
3¡ 1
u+C
Section 7.1 Antiderivatives 445
25.Z(¡9t¡2:5 ¡ 2t¡1)dt
= ¡9Zt¡2:5 dt¡ 2
Zt¡1 dt
=¡9t¡1:5¡1:5 ¡ 2
Zdt
t
= 6t¡1:5 ¡ 2 ln jtj+C
26.Z(10x¡3:5 + 4x¡1)dx = 10
Zx¡3:5 dx+ 4
Zx¡1 dx
=10x¡2:5
¡2:5 + 4 ln jxj+C
= ¡4x¡2:5 + 4 ln jxj+C
27.Z
1
3x2dx =
Z1
3x¡2dx
=1
3
Zx¡2dx
=1
3
μx¡1
¡1¶+C
= ¡13x¡1 +C
= ¡ 1
3x+C
28.Z
2
3x4dx =
Z2
3x¡4dx
=2
3
Zx¡4dx
=2
3
μx¡3
¡3¶+C
= ¡29x¡3 +C
= ¡ 2
9x3+C
29.Z3e¡0:2x dx = 3
Ze¡0:2x dx
= 3
μ1
¡0:2¶e¡0:2x +C
=3(e¡0:2x)¡0:2 +C
= ¡15e¡0:2x +C
30.Z¡4e0:2v dv = ¡4
Ze0:2v dv
= (¡4) 10:2e0:2v +C
= ¡20e0:2v +C
31.Z μ
¡3x+ 4e¡0:4x + e0:1
¶dx
= ¡3Zdx
x+ 4
Ze¡0:4x dx+ e0:1
Zdx
= ¡3 ln jxj+ 4e¡0:4x
¡0:4 + e0:1x+C
= ¡3 ln jxj ¡ 10e¡0:4x + e0:1x+C
32.Z μ
9
x¡ 3e¡0:4x
¶dx
=
Z9
xdx¡ 3
Ze¡0:4x dx
= 9 ln jxj ¡ 3μ¡ 1
0:4
¶e¡0:4x +C
= 9 ln jxj+ 15e¡0:4x
2+C
33.Z μ
1 + 2t3
4t
¶dt =
Z μ1
4t+t2
2
¶dt
=1
4
Z1
tdt+
1
2
Zt2 dt
=1
4ln jtj+ 1
2
μt3
3
¶+C
=1
4ln jtj+ t
3
6+C
34.Z μ
2y1=2 ¡ 3y26y
¶dy
=
Z2y1=2
6ydy ¡
Z3y2
6ydy
=1
3
Zy¡1=2 dy ¡ 1
2
Zy dy
=1
3
μy1=2
12
¶¡ y
2
4+C
=2y1=2
3¡ y
2
4+C
35.Z(e2u + 4u)du =
e2u
2+4u2
2+C
=e2u
2+ 2u2 +C
36.Z(v2 ¡ e3v)dv =
Zv2 dv ¡
Ze3v dv
=v3
3¡ e
3v
3+C
=v3 ¡ e3v
3+C
446 Chapter 7 INTEGRATION
37.Z(x+ 1)2 dx =
Z(x2 + 2x+ 1)dx
=x3
3+2x2
2+ x+C
=x3
3+ x2 + x+C
38.Z(2y ¡ 1)2 dy =
Z(4y2 ¡ 4y + 1)dy
=4y3
3¡ 4y
2
2+ y +C
=4y3
3¡ 2y2 + y +C
39.Z p
x+ 13px
dx =
Z μpx
3px+
13px
¶dx
=
Z(x(1=2¡1=3) + x¡1=3)dx
=
Zx1=6 dx+
Zx¡1=3 dx
=x7=6
76
+x2=3
23
+C
=6x7=6
7+3x2=3
2+C
40.Z1¡ 2 3
pz
3pz
dz =
Z μ13pz+2 3pz
3pz
¶dz
=
Z(z¡1=3 ¡ 2)dz
=z2=3
23
¡ 2z +C
=3z2=3
2¡ 2z +C
41.Z10xdx =
10x
ln 10+C
42.Z32xdx =
32x
2(ln 3)+C
43. Find f(x) such that f 0(x) = x2=3; and¡1; 35
¢is on
the curve.
Zx2=3dx =
x5=3
53
+C
f(x) =3x5=3
5+C
Since¡1; 35
¢is on the curve,
f(1) =3
5:
f(1) =3(1)5=3
5+C =
3
53
5+C =
3
5
C = 0:
Thus,
f(x) =3x5=3
5:
44. Find f(x) such that f 0(x) = 6x2 ¡ 4x + 3; and(0; 1) is on the curve.
f(x) =
Z(6x2 ¡ 4x+ 3)dx
=6x3
3¡ 4x
2
2+ 3x+ C
= 2x3 ¡ 2x2 + 3x+CSince (0; 1) is on the curve, then f(0) = 1:
f(0) = 2(0)3 ¡ 2(0)2 + 3(0) + C = 1C = 1
Thus,f(x) = 2x3 ¡ 2x2 + 3x+ 1:
45. C 0(x) = 4x¡ 5; …xed cost is $8.
C(x) =
Z(4x¡ 5)dx
=4x2
2¡ 5x+ k
= 2x2 ¡ 5x+ kC(0) = 2(0)2 ¡ 5(0) + k = kSince C(0) = 8; k = 8:
Thus,C(x) = 2x2 ¡ 5x+ 8:
46. C0(x) = 0:2x2 + 5x; …xed cost is $10.
C(x) =
Z(0:2x2 + 5x)dx
=0:2x3
3+5x2
2+ k
C(0) =0:2(0)3
3+5(0)2
2+ k = k
Since C(0) = 10; k = 10:
Thus,
C(x) =0:2x3
3+5x2
2+ 10:
Section 7.1 Antiderivatives 447
47. C0(x) = 0:03e0:01x; …xed cost is $8.
C(x) =
Z0:03e0:01x dx
= 0:03
Ze0:01x dx
= 0:03
μ1
0:01e0:01x
¶+ k
= 3e0:01x + k
C(0) = 3e0:01(0) + k = 3(1) + k
= 3 + k
Since C(0) = 8; 3 + k = 8; and k = 5:Thus,
C(x) = 3e0:01x + 5:
48. C0(x) = x1=2; 16 units cost $45.
C(x) =
Zx1=2 dx =
x3=2
32
+ k =2
3x3=2 + k
C(16) =2
3(16)3=2 + k =
2
3(64) + k =
128
3+ k
Since C(16) = 45;
128
3+ k = 45
k =7
3:
Thus,
C(x) =2
3x3=2 +
7
3:
49. C0(x) = x2=3 + 2; 8 units cost $58.
C(x) =
Z(x2=3 + 2)dx
=3x5=3
5+ 2x+ k
C(8) =3(8)5=3
5+ 2(8) + k
=3(32)
5+ 16 + k
Since C(8) = 58;
58¡ 16¡ 965= k
114
5= k:
Thus,
C(x) =3x5=3
5+ 2x+
114
5:
50. C0(x) = x+1
x2; 2 units cost $5.50, so
C(2) = 5:50:
C(x) =
Z μx+
1
x2
¶dx
=
Z(x+ x¡2)dx
=x2
2+x¡1
¡1 + k
C(x) =x2
2¡ 1
x+ k
C(2) =(2)2
2¡ 12+ k
= 2¡ 12+ k
Since C(2) = 5:50;
5:50¡ 1:5 = k4 = k:
Thus,
C(x) =x2
2¡ 1
x+ 4:
51. C0(x) = 5x¡ 1
x; 10 units cost $94.20, so
C(10) = 94:20:
C(x) =
Z μ5x¡ 1
x
¶dx =
5x2
2¡ ln jxj+ k
C(10) =5(10)2
2¡ ln (10) + k
= 250¡ 2:30 + k:Since C(10) = 94:20;
94:20 = 247:70 + k
¡153:50 = k:
Thus, C(x) =5x2
2¡ ln jxj ¡ 153:50:
52. C0(x) = 1:2x(ln 1:2); 2 units cost $9.44(Hint: Recall that ax = ex ln a:)
C(x) =
Z1:2x(ln 1:2)dx
= ln 1:2
Z1:2x dx
= ln 1:2
Zex ln 1:2 dx
= ln 1:2
μ1
ln 1:2ex ln 1:2
¶+ k
= ex ln 1:2 + k
C(2) = e2 ln 1:2 + k = 1:44 + k
448 Chapter 7 INTEGRATION
Since C(2) = 9:44;
144 + k = 9:44
k = 8:
Thus,
C(x) = ex ln 1:2 + 8
= 1:2x + 8:
53. R0(x) = 175¡ 0:02x¡ 0:03x2
R =
Z(175¡ 0:02x¡ 0:03x2)dx
= 175x¡ 0:01x2 ¡ 0:01x3 +C:
If x = 0; then R = 0 (no items sold means norevenue), and
0 = 175(0)¡ 0:01(0)2 ¡ 0:01(0)3 +C0 = C:
Thus, R = 175x¡ 0:01x2 ¡ 0:01x3
gives the revenue function. Now, recall thatR = xp; where p is the demand function. Then
175x¡ 0:01x2 ¡ 0:01x3 = xp175x¡ 0:01x¡ 0:01x2 = p, the demand function.
54. R0(x) = 50¡ 5x2=3
R =
Z(50¡ 5x2=3)dx
= 50x¡ 3x5=3 +C
If x = 0; then R = 0 (no items sold means norevenue), and
0 = 50(0)¡ 3(0)5=3 +C0 = C
Thus, R = 50x¡3x5=3 gives the revenue function.Now, recall that R = xp; where p is the demandfunction. Then
50x¡ 3x5=3 = xp50¡ 3x2=3 = p;
which gives the demand function.
55. R0(x) = 500¡ 0:15px
R =
Z(500¡ 0:15px)dx
= 500x¡ 0:1x3=2 +C:If x = 0; R = 0 (no items sold means no revenue),and
0 = 500(0)¡ 0:1(0)3=2 +C0 = C:
Thus, R = 500x¡ 0:1x3=2 gives the revenue func-tion. Now, recall that R = xp; where p is thedemand function. Then
500x¡ 0:1x3=2 = xp500¡ 0:1px = p, the demand function.
56. R0(x) = 600¡ 5e0:0002x
R =
Z(600¡ 25,000e0:0002x)dx
= 600x¡ 25,000e0:0002x +C:If x = 0; then R = 0 (no items sold means norevenue), and
0 = 600(0)¡ 25,000e0:0002(0) +C0 = ¡25,000 + C0 = 25,000.
Thus, R = 600x¡ 25,000e0:0002x + 25,000= 600x+ 25,000(1¡ e0:0002x)
gives the revenue function. Now, recall thatR = xp; where p is the demand function. Then
600x+ 25,000(1¡ e0:0002x) = xp
600 +25,000x
(1¡ e0:0002x) = p;
which gives the demand function.
57. f 0(t) = 1:498t+ 1:626
(a) f(t) =Z(1:498t+ 1:626)dt
= 0:749t2 + 1:626t+C
In 1992 (t = 2); f(t) = 8:893; and
8:893 = 0:749(2)2 + 1:626(2) +C
8:893 = 6:248 +C
2:645 = C
Thus, f(t) = 0:749t2 + 1:626t+ 2:645:
Section 7.1 Antiderivatives 449
(b) In 2006, t = 16; and
f(16) = 0:749(16)2 + 1:626(16) + 2:645
= 191:744 + 26:016 + 2:645
= 220:405
The function predicted approximately 220 millionsubscribers in 2006.
58. P 0(x) =px+ 1
2 ; pro…t is ¡1 when 0 hamburgersare sold.
P (x) =
Z μpx+
1
2
¶dx
=2x3=2
3+x
2+ k
P (0) =2(0)3=2
3+0
2+ k
Since P (0) = ¡1; k = ¡1:
P (x) =2
3x3=2 +
x
2¡ 1
59. (a) P 0(x) = 50x3 + 30x2; pro…t is ¡40 when nocheese is sold.
P (x) =
Z(50x3 + 30x2)dx
=25x4
2+ 10x3 + k
P (0) =25(0)4
2+ 10(0)3 + k
SinceP (0) = ¡40;¡40 = k:
Thus,
P (x) =25x4
2+ 10x3 ¡ 40:
(b) P (2) =25(2)4
2+ 10(2)3 ¡ 40 = 240
The pro…t from selling 200 lbs of Brie cheese is$240.
60. (a) f 0(t) = 0:01e¡0:01t
f(t) =
Z0:01e¡0:01t dt
= ¡0:01e¡0:01t
0:01+ k
= ¡e¡0:01t + k(b) f(0) = ¡e¡0:01(0) + k = ¡e0 + k = ¡1 + k
Since f(0) = 0;
0 = ¡1 + kk = 1:
f(t) = ¡e¡0:01t + 1
f(10) = ¡e¡0:01(10) + 1= ¡e¡0:1 + 1= ¡0:905 + 1= 0:095
0.095 unit is excreted in 10 min.
61.Zg(x)
xdx =
Za¡ bxx
dx
=
Z ³ax¡ b´dx
= a
Zdx
x¡ b
Zdx
= a ln jxj ¡ bx+CSince x represents a positive quantity, the absolutevalue sign can be dropped.Z
g(x)
xdx = a lnx¡ bx+C
62. (a) c(t) = (c0 ¡C)e¡kAt=V +M
c0(t) = (c0 ¡C)μ¡kAV
¶e¡kAt=V
=¡kAV
(c0 ¡C)e¡kAt=V
(b) Since equation (1) states
c0(t) =kA
V[C ¡ c(t)];
then from (a) and by substituting from equation(2), we obtain
(c0 ¡C)μ¡kAV
¶e¡kAt=V
=kA
VC ¡ kA
V[(c0 ¡C)e¡kAt=V +M ]
¡kAV
(c0 ¡C)e¡kAt=V +M
=¡kAV
(c0 ¡C)e¡kAt=V + kAVC ¡ kA
VM:
If t = 0; c(t) = c0; so
c0 = (c0 ¡C)e0 +M Equation (2 )
c0 = c0 ¡C +Mor C =M:
450 Chapter 7 INTEGRATION
Thus,
¡kAV
(c0 ¡C)e¡kAt=V
=¡kAV
(c0 ¡C)e¡kAt=V + kAVM ¡ kA
VM
or¡kAV
(c0 ¡C)e¡kAt=V = ¡kAV
(c0 ¡C)e¡kAt=V :
63. N 0(t) = Aekt
(a) N(t) =A
kekt + C
A = 50; N(t) = 300 when t = 0:
N(0) =50
ke0 +C = 300
N 0(5) = 250
Therefore,N 0(5) = 50e5k = 250
e5k = 5
5k = ln 5
k =ln 5
5:
N(0) =50ln 55
+C = 300
250
ln 5+C = 300
C = 300¡ 250
ln 5¼ 144:67
N(t) =50ln 55
e(ln 5=5)t + 144:67
= 155:3337e0:321888t + 144:67
(b) N(12) = 155:3337e0:321888(12) + 144:67¼ 7537
There are 7537 cells present after 12 days.
64. V 0(t) = ¡kP (t)P (t) = P0e¡mt
V 0(t) = ¡kP0e¡mt
V (t) =k
mP0e
¡mt +C
V (0) =k
mP0e
0 +C
V0 ¡ k
mP0 = C
Therefore,
V (t) =k
mP0e
¡mt + V0 ¡ k
mP0
=kP0me¡mt + V0 ¡ kP0
m:
65. a(t) = 5t2 + 4
v(t) =
Z(5t2 + 4)dt
=5t3
3+ 4t+C
v(0) =5(0)3
3+ 4(0) +C
Since v(0) = 6; C = 6:
v(t) =5t3
3+ 4t+ 6
66. v(t) = 9t2 ¡ 3pt
s =
Zv(t)dt
=
Z(9t2 ¡ 3pt)dt
= 3t3 ¡ 2t3=2 +Cs = 3t3 ¡ 2t3=2 +C
Since s(1) = 8;
8 = 3(1)3 ¡ 2(1)3=2 + C8 = 1 +C
7 = C:
Thus,s(t) = 3t3 ¡ 2t3=2 + 7:
67. a(t) = ¡32
v(t) =
Z¡32 dt = ¡32t+C1
v(0) = ¡32(0) +C1Since v(0) = 0; C1 = 0:
v(t) = ¡32t
s(t) =
Z¡32t dt
=¡32t22
+C2
= ¡16t2 +C2At t = 0; the plane is at 6400 ft.That is, s(0) = 6400:
s(0) = ¡16(0)2 +C26400 = 0 +C2C2 = 6400
s(t) = ¡16t2 + 6400
Section 7.1 Antiderivatives 451
When the object hits the ground, s(t) = 0:
¡16t2 + 6400 = 0¡16t2 = ¡6400
t2 = 400
t = §20
Discard ¡20 since time must be positive.The object hits the ground in 20 sec.
68. a(t) = 18t+ 8
v(t) =
Z(18t+ 8)dt
= 9t2 + 8t+C1v(1) = 9(1)2 + 8(1) +C1 = 17 +C1
Since v(1) = 15; C1 = ¡2:
v(t) = 9t2 + 8t¡ 2
s(t) =
Z(9t2 + 8t¡ 2)dt
= 3t3 + 4t2 ¡ 2t+C2s(1) = 3(1)3 + 4(1)2 ¡ 2(1) +C2
= 5 +C2
Since s(1) = 19; C2 = 14:Thus,
s(t) = 3t3 + 4t2 ¡ 2t+ 14:
69. a(t) =15
2
pt = 3e¡t
v(t) =
Z μ15
2
pt+ 3e¡t
¶dt
=
Z μ15
2t1=2 + 3e¡t
¶dt
=15
2
μt3=2
32
¶+ 3
μ1
¡1e¡t¶+C1
= 5t3=2 ¡ 3e¡t +C1v(0) = 5(0)3=2 ¡ 3e¡0 +C1 = ¡3 +C1Since v(0) = ¡3; C1 = 0:
v(t) = 5t3=2 ¡ 3e¡t
s(t) =
Z(5t3=2 ¡ 3e¡t)dt
= 5
μt5=2
52
¶¡ 3
μ¡11e¡t¶+C2
= 2t5=2 + 3e¡t +C2s(0) = 2(0)5=2 + 3e¡0 +C2 = 3 +C2
Since s(0) = 4; C2 = 1:Thus,
s(t) = 2t5=2 + 3e¡t + 1:
70. The acceleration of gravity is a constant with value¡32 ft/sec2; that is,
a(t) = ¡32:First …nd v(t) by integrating a(t):
v(t) =
Z(¡32)dt = ¡32t+ k:
When t = 0; v(t) = v0:
v0 = ¡32(0) + kv0 = k
andv(t) = ¡32t+ v0:
Now integrate v(t) to …nd h(t).
h(t) =
Z(¡32t+ v0)dt = ¡16t2 + v0t+C
Since h(t) = h0 when t = 0; we can substitutethese values into the equation for h(t) to get C =h0 and
h(t) = ¡16t2 + v0t+ h0:Recall that g is a constant with value ¡32 ft=sec2,so 1
2g has value ¡16 ft/sec2; and
h(t) =1
2gt2 + v0t+ h0:
71. First …nd v(t) by integrating a(t):
v(t) =
Z(¡32)dt = ¡32t+ k:
When t = 5; v(t) = 0:
0 = ¡32(5) + k160 = k
andv(t) = ¡32t+ 160:
Now integrate v(t) to …nd h(t):
h(t) =
Z(¡32t+ 160)dt = ¡16t2 + 160t+C
Since h(t) = 412 when t = 5; we can substitutethese values into the equation for h(t) to get C =12 and
h(t) = ¡16t2 + 160t+ 12:Therefore, from the equation given in Exercise 70,the initial velocity v0 is 160 ft/sec and the initialheight of the rocket h0 is 12 ft.
452 Chapter 7 INTEGRATION
72. (a) First …nd v(t) by integrating a(t):
v(t) =
Z(¡32)dt = ¡32t+ k:
When t = 0; v(t) = v0:
v0 = ¡32(0) + kv0 = k
and v(t) = ¡32t+ v0:Now integrate v(t) to …nd s(t):
s(t) =
Z(¡32t+ v0)dt
= ¡16t2 + v0t+C
Since s(t) = 0 when t = 0, we can substitute thesevalues into the equation for s(t) to get C = 0 and
s(t) = ¡16t2 + v0t:
(b) When t = 14; s(t) = 0; so
0 = ¡16(14)2 + v0(14)v0 = 224
The velocity was 224 feet per second at time t = 0.
(c) v0t = 224(14) = 3136
The distance the rocket would travel horizontallywould be 3136 feet.
73. (a) First …nd B(t) by integrating B0(t):
B(t) =
Z9:2935e0:02955tdt
¼ 314:5e0:02955t + k
When t = 0; B(t) = 792:3:
792:3 = 314:5e0:02955(0) + k
477:8 = k
and
B(t) = 314:5e0:02955t + 477:8:
(b) In 2012, t = 42:
B(42) = 314:5e0:02955(42) + 477:8
¼ 1565:8
About 1,566,000 bachelor’s degrees will be con-ferred in 2012.
7.2 Substitution
2. (a)Z(3x2 ¡ 5)4 2xdx
Let u = 3x2 ¡ 5; then du = 6xdx:(b)
Z p1¡ xdx
Let u = 1¡ x; then du = ¡dx:
(c)Z
x2
2x3 + 1dx
Let u = 2x3 + 1; then du = 6x2 dx:
(d)Z4x3ex
4
dx
Let u = x4; then du = 4x3 dx:
3.Z4(2x+ 3)4 dx = 2
Z2(2x+ 3)4 dx
Let u = 2x+ 3; so that du = 2dx:
= 2
Zu4 du
=2 ¢ u55
+C
=2(2x+ 3)5
5+C
4.Z(¡4t+ 1)3 dt
= ¡14
Z¡4(¡4t+ 1)3 dt
Let u = ¡4t+ 1; so that du = ¡4 dt:
= ¡14
Zu3 du
= ¡14¢ u
4
4+C
=¡u416
+C
=¡(¡4t+ 1)4
16+C
5.Z
2dm
(2m+ 1)3=
Z2(2m+ 1)¡3 dm
Let u = 2m+ 1; so that du = 2dm:
=
Zu¡3 du
=u¡2
¡2 +C
=¡(2m+ 1)¡2
2+C
Section 7.2 Substitution 453
6.Z
3dup3u¡ 5 =
Z3(3u¡ 5)¡1=2 du
Let w = 3u¡ 5; so that dw = 3du:
=
Zw¡1=2 dw
=w1=2
12
+C
= 2w1=2 +C
= 2(3u¡ 5)1=2 +C
7.Z
2x+ 2
(x2 + 2x¡ 4)4 dx
=
Z(2x+ 2)(x2 + 2x¡ 4)¡4dx
Let w = x2 + 2x¡ 4, so that dw = (2x+ 2)dx:
=
Zw¡4dw
=w¡3
¡3 +C
= ¡(x2 + 2x¡ 4)¡3
3+C
= ¡ 1
3(x2 + 2x¡ 4)3 +C
8.Z
6x2 dx
(2x3 + 7)3=2
=
Z6x2(2x3 + 7)¡3=2 dx
Let u = 2x3 + 7; so that du = 6x2 dx:
=
Zu¡3=2 du
=u¡1=2
¡12
+C
= ¡2u¡1=2 +C
=¡2u1=2
+C
=¡2
(2x3 + 7)1=2+C
9.Zzp4z2 ¡ 5dz =
Zz(4z2 ¡ 5)1=2 dz
=1
8
Z8z(4z2 ¡ 5)1=2 dz
Let u = 4z2 ¡ 5; so that du = 8z dz:=1
8
Zu1=2 du
=1
8¢ u
3=2
32
+C
=1
8¢μ2
3
¶u3=2 +C
=(4z2 ¡ 5)3=2
12+C
10.Zrp5r2 + 2dr =
Zr(5r2 + 2)1=2 dr
=1
10
Z10r(5r2 + 2)1=2 dr
Let u = 5r2 + 2; so that du = 10r dr:
=1
10
Zu1=2du
=1
10¢ u
3=2
32
+C
=u3=2
15+C
=(5r2 + 2)3=2
15+C
11.Z3x2 e2x
3
dx =1
2
Z2 ¢ 3x2 e2x3 dx
Let u = 2x3; so that du = 6x2 dx:
=1
2
Zeu du
=1
2eu +C
=e2x
3
2+C
12.Zre¡r
2
dr
Let u = ¡r2; so that du = ¡2r dr:Zre¡r
2
dr = ¡12
Z¡2re¡r2 dr
= ¡12
Zeu du
=¡eu2+C
=¡e¡r22
+C
454 Chapter 7 INTEGRATION
13.Z(1¡ t)e2t¡t2 dt
=1
2
Z2(1¡ t)e2t¡t2 dt
Let u = 2t¡ t2; so that du = (2¡ 2t)dt:
=1
2
Zeu du
=eu
2+C
=e2t¡t
2
2+C
14.Z(x2 ¡ 1)ex3¡3x dx
Let u = x3 ¡ 3x; so that
du = (3x2 ¡ 3)dx = 3(x2 ¡ 1)dx:Z(x2 ¡ 1)ex3¡3x dx
=1
3
Z3(x2 ¡ 1)ex3¡3x dx
=1
3
Zeu du =
eu
3+C
=ex
3¡3x
3+C
15.Ze1=z
z2dz = ¡
Ze1=z ¢ ¡1
z2dz
Let u = 1z ; so that du =
¡1z2 dx:
= ¡Zeu du
= ¡eu +C= ¡e1=z +C
16.Zepy
2pydy =
Zey
1=2
2y1=2dy
=
Z1
2y¡1=2ey
1=2
dy
Let u = y1=2; so that du = 12y¡1=2 dy:
=
Zeu du = eu +C
= ey1=2
+C = epy +C
17.Z(x3 + 2x)(x4 + 4x2 + 7)8dx
=1
4
Z(x4 + 4x2 + 7)8(4x3 + 8x)dx
Let u = x4 + 4x2 + 7, so that du = (4x3 + 8x)dx
=1
4
Zu8du =
1
4
Z μu9
9
¶+C
=u9
36+C =
(x4 + 4x2 + 7)9
36+C
18.Z
t2 + 2
t3 + 6t+ 3dx
Let u = t3 + 6t+ 3, so that du = (3t2 + 6)dt:Zt2 + 2
t3 + 6t+ 3dx =
1
3
Z(3t2 + 6)dt
t3 + 6t+ 3
=1
3
Zdu
u
=1
3ln juj+C
=1
3ln¯t3 + 6t+ 3
¯+C
19.Z
2x+ 1
(x2 + x)3dx
=
Z(2x+ 1)(x2 + x)¡3 dx
Let u = x2 + x; so that du = (2x+ 1)dx:
=
Zu¡3 du =
u¡2
¡2 +C
=¡12u2
+C =¡1
2(x2 + x)2+C
20.Z
y2 + y
(2y3 + 3y2 + 1)2=3dy
=
Z(y2 + y)(2y3 + 3y2 + 1)¡2=3dy
Let u = 2y3+3y2+1; so that du = (6y2+6y)dy:
=1
6
Z6(y2 + y)(2y3 + 3y2 + 1)¡2=3dy
=1
6
Zu¡2=3du
=1
6¢ u
1=3
13
+C
=u1=3
2+C
=(2y3 + 3y2 + 1)1=3
2+ C
Section 7.2 Substitution 455
21.Zp(p+ 1)5 dp
Let u = p+ 1; so that du = dp; also, p = u¡ 1:
=
Z(u¡ 1)u5 du
=
Z(u6 ¡ u5)du
=u7
7¡ u
6
6+C
=(p+ 1)7
7¡ (p+ 1)
6
6+C
22.Z4rp8¡ r dr
=
Z4r(8¡ r)1=2 dr
Let u = 8¡ r; so that
du = ¡dr; also, r = 8¡ u:
= ¡4Z¡r(8¡ r)1=2 dr
= ¡4Z(8¡ u)u1=2 du
= ¡4Z(8u1=2 ¡ u3=2)du
= ¡4μ8u3=2
32
¡ u5=2
52
¶+C
=8(8¡ r)5=2
5¡ 64(8¡ r)
3=2
3+C
23.Z
upu¡ 1 du
=
Zu(u¡ 1)¡1=2 du
Let w = u¡ 1; so that dw = du and u = w + 1:
=
Z(w + 1)w¡1=2 dw
=
Z(w1=2 +w¡1=2)dw
=w3=2
32
+w1=2
12
+C
=2(u¡ 1)3=2
3+ 2(u¡ 1)1=2 +C
24.Z
2x
(x+ 5)6dx
=
Z2x(x+ 5)¡6 dx = 2
Zx(x+ 5)¡6 dx
Let u = x+ 5; so that
du = dx; also, u¡ 5 = x:
= 2
Z(u¡ 5)u¡6 du = 2
Z(u¡5 ¡ 5u¡6)du
= 2
μu¡4
¡4¶¡ 10
μu¡5
¡5¶+C
= ¡u¡4
2+ 2u¡5 +C
=¡1
2(x+ 5)4+
2
(x+ 5)5+C
25.Z(px2 + 12x)(x+ 6)dx
=
Z(x2 + 12x)1=2(x+ 6)dx
Let x2 + 12x = u; so that
(2x+ 12)dx = du
2(x+ 6)dx = du:
=1
2
Zu1=2 du =
1
2
μ2
3
¶u3=2 +C
=(x2 + 12x)3=2
3+C
26.Z(px2 ¡ 6x)(x¡ 3)dx
=
Z(x2 ¡ 6x)1=2(x¡ 3)dx
Let u = x2 ¡ 6x; so that
du = (2x¡ 6)dx = 2(x¡ 3)dx:
=1
2
Z(x2 ¡ 6x)1=22(x¡ 3)dx
=1
2
Zu1=2 du =
1
2
μu3=2
32
¶+C
=u3=2
3+C =
(x2 ¡ 6x)3=23
+C
456 Chapter 7 INTEGRATION
27.Z
t
t2 + 2dt
Let t2 + 2 = u; so that 2t dt = du:
=1
2
Zdu
u
=1
2ln juj+C
=ln (t2 + 2)
2+C
28.Z ¡4xx2 + 3
dx
Let u = x2 + 3; so that du = 2x dx:Z ¡4xx2 + 3
dx = ¡2Z2x dx
x2 + 3= ¡2
Zdu
u
= ¡2 ln juj+C= ¡2 ln (x2 + 3) +C
29.Z(1 + 3 lnx)2
xdx
Let u = 1 + 3 lnx; so that du = 3x dx:
=1
3
Z3(1 + 3 lnx)2
xdx
=1
3
Zu2 du
=1
3¢ u
3
3+C
=(1 + 3 lnx)3
9+C
30.Z p
2 + ln x
xdx
Let u = 2 + ln x; so that
du =1
xdx:
Z p2 + ln x
xdx =
Z pu du
=
Zu1=2 du
=u3=2
3=2+C
=2
3u3=2 +C
=2
3(2 + ln x)3=2 +C
31.Z
e2x
e2x + 5dx
Let u = e2x + 5; so that du = 2e2x dx:
=1
2
Zdu
u
=1
2ln juj+C
=1
2ln¯e2x + 5
¯+C
=1
2ln (e2x + 5) +C
32.Z
1
x(ln x)dx
Let u = ln x; so that
du =1
xdx:Z
1
x(ln x)dx =
Z1
udu
= ln juj+C= ln jln xj+C
33.Zlog x
xdx
Let u = log x; so that du = 1(ln 10)x dx:
= (ln 10)
Zlog x
(ln 10)xdx
= (ln 10)
Zudu
= (ln 10)
μu2
2
¶+C
=(ln 10)(logx)2
2+C
34.Z[log2(5x+ 1)]
2
5x+ 1dx
Let u = log2(5x+ 1); so that
du = 5(ln 2)(5x+1) dx:
=ln 2
5
Z5[log2(5x+ 1)]
2
(ln 2)(5x+ 1)dx
=ln 2
5
Zu2 du
=ln 2
5
μu3
3
¶+C
=(ln 2)[log2(5x+ 1)]
3
15+C
Section 7.2 Substitution 457
35.Zx83x
2+1dx
Let u = 3x2 + 1; so that du = 6xdx:
=1
6
Z6x ¢ 83x2+1dx
=1
6
Z8u du
=1
6
μ8u
ln 8
¶+C
=83x
2+1
6 ln 8+C
36.Z105
px+2
px
dx
Let u = 5px+ 2; so that du = 5
2pxdx:
=2
5
Z5 ¢ 105
px+2
2px
dx
=2
5
Z10udu
=2
5¢ 10
u
ln 10+C
=2 ¢ 105px+25 ln 10
+C
39. (a) R0(x) = 4x(x2 + 27,000)¡2=3
R(x) =
Z4x(x2 + 27,000)¡2=3 dx
= 2
Z2x(x2 + 27,000)¡2=3 dx
Let u = x2 + 27,000, so that du = 2xdx:
R = 2
Zu¡2=3 du
= 2 ¢ 3u1=3 +C= 6(x2 + 27,000)1=3 +C
R(125) = 6(1252 + 27,000)1=3 +C
Since R(125) = 29:591;
6(1252 + 27,000)1=3 +C = 29:591C = ¡180
Thus,
R(x) = 6(x2 + 27,000)1=3 ¡ 180:
(b)
R(x) = 6(x2 + 27; 000)1=3 ¡ 180 ¸ 406(x2 + 27,000)1=3 ¸ 220(x2 + 27,000)1=3 ¸ 36:6667
x2 + 27,000 ¸ 49,296.43x2 ¸ 22,296.43x ¸ 149:4
For a revenue of at least $40,000, 150 players mustbe sold.
40. (a) D0(t) = 90(t+ 6)pt2 + 12t
= 90(t+ 6)(t2 + 12t)1=2
D(t) =
Z90(t+ 6)(t2 + 12t)1=2dt
= 45
Z(2t+ 12)(t2 + 12t)1=2dt
Let u = t2 + 12t; so that du = (2t+ 12)dt:
D = 45
Zu1=2du
= 45 ¢ 2u3=2
3+C
= 30u3=2 +C
D(t) = 30(t2 + 12t)3=2 +C
Since D(4) = 16,260,
30(42 + 12 ¢ 4)3=2 +C = 16,26015,360 +C = 16,260
C = 900
Thus,
D(t) = 30(t2 + 12t)3=2 + 900:
(b) D(t) = 30(t2 + 12t)3=2 + 900 = 40,00030(t2 + 12t)3=2 = 39,100(t2 + 12t)3=2 = 1303:333
t2 + 12t = 119:317
t2 + 12t¡ 119:317 = 0
x =¡12§p122 ¡ 4(1)(¡119:317)
2(1)
x ¼ ¡12§ 24:932(1)
x ¼ 6:465 or x ¼ ¡18:464
7 years must pass.
458 Chapter 7 INTEGRATION
41. C0(x) =60x
5x2 + e
(a) Let u = 5x2 + e; so that du = 10xdx:
C(x) =
ZC0(x)dx =
Z60x
5x2 + edx = 6
Zdu
u= 6 ln juj+C = 6 ln ¯5x2 + e¯+C
Since C(0) = 10; C = 4:
Therefore,
C(x) = 6 ln¯5x2 + e
¯+ 4 = 6 ln(5x2 + e) + 4:
(b) C(5) = 6 ln(5 ¢ 52 + e) + 4 ¼ 33:099
Since this represents $33,099 dollars which is greater than $20,000, a new source of investment income shouldbe sought.
42. (a) P 0(x) = xe¡x2
Let ¡x2 = u; so that ¡2xdx = du, or xdx = ¡12 du:
P (x) =
Zxe¡x
2
dx
= ¡12
Zeu du = ¡e
u
2+C
= ¡e¡x2
2+C
P (3) = ¡e¡9
2+C
Since 10,000 = 0.01 million and P (3) = 0:01;
¡e¡9
2+C = 0:01
C = 0:01 +e¡9
2= 0:01006 ¼ 0:01:
P (x) =¡e¡x22
+ 0:01
(b) limx!1 (x) = lim
x!1
áex22
+ 0:01
!= limx!1
μ¡ 1
2ex2+ 0:01
¶= 0:01
Since pro…t is expressed in millions of dollars, the pro…t approaches 0.01(1,000,000) = $10,000.
Section 7.2 Substitution 459
43. f 0(t) = 4:0674 ¢ 10¡4t(t¡ 1970)0:4(a) Let u = t ¡ 1970: To get the t outside the parentheses in terms of u; solve u = t ¡ 1970 for t to gett = u+ 1970: Then dt = du and we can substitute as follows.
f(t) =
Zf 0(t)dt =
Z4:0674 ¢ 10¡4t(t¡ 1970)0:4dt
=
Z4:0674 ¢ 10¡4(u+ 1970)(u)0:4du
= 4:0674 ¢ 10¡4Z(u+ 1970)(u)0:4du
= 4:0674 ¢ 10¡4Z(u1:4 + 1970u0:4)du
= 4:0674 ¢ 10¡4μu2:4
2:4+1970u1:4
1:4
¶+C
= 4:0674 ¢ 10¡4·(t¡ 1970)2:4
2:4+1970(t¡ 1970)1:4
1:4
¸+C
Since f(1970) = 61:298; C = 61:298:
Therefore,
f(t) = 4:0674 ¢ 10¡4·(t¡ 1970)2:4
2:4+1970(t¡ 1970)1:4
1:4
¸+ 61:298:
(b) f(2015) = 4:0674 ¢ 10¡4·(2015¡ 1970)2:4
2:4+1970(2015¡ 1970)1:4
1:4
¸+ 61:298 ¼ 180:9:
In the year 2015, there will be about 181,000 local transit vehicles.
44. f 0(t) = 0:001483t(t¡ 1980)0:75(a) Let u = t ¡ 1980: To get the t outside the parentheses in terms of u; solve u = t ¡ 1980 for t to gett = u+ 1980: Then dt = du and we can substitute as follows.
f(t) =
Zf 0(t)dt =
Z0:001483t(t¡ 1980)0:75dt
=
Z0:001483(u+ 1980)(u)0:75du
= 0:001483
Z(u+ 1980)(u)0:75du
= 0:001483
Z(u1:75 + 1980u0:75)du
= 0:001483
μu2:75
2:75+1980u1:75
1:75
¶+C
= 0:001483
·(t¡ 1980)2:75
2:75+1980(t¡ 1980)1:75
1:75
¸+C
Since f(1980) = 262:951; C = 262:951:Therefore,
f(t) = 0:001483
·(t¡ 1980)2:75
2:75+1980(t¡ 1980)1:75
1:75
¸+ 262:951:
(b) f(2012) = 0:001483·(2012¡ 1980)2:75
2:75+1980(2012¡ 1980)1:75
1:75
¸+ 262:951 ¼ 992:8
In the year 2012, there will be about 993,000,000 outpatient visits.
460 Chapter 7 INTEGRATION
7.3 Area and the De…nite Integral
2.Z 4
0
(x2 + 3)dx = limn!1
nPi=1
(xi2 + 3)¢x; where ¢x = 4¡0
n = 4n and xi is any value of x in the ith interval.
3. f(x) = 2x+ 5; x1 = 0; x2 = 2; x3 = 4; x4 = 6; and ¢x = 2
(a)4Xi=1
f(xi)¢x
= f(x1)¢x+ f(x2)¢x+ f(x3)¢x+ f(x4)¢x
= f(0)(2) + f(2)(2) + f(4)(2) + f(6)(2)
= [2(0) + 5](2) + [2(2) + 5](2) + [2(4) + 5](2) + [2(6) + 5](2)
= 10 + 9(2) + 13(2) + 17(2)
= 88
(b)
The sum of these rectangles approximatesZ 8
0
(2x+ 5)dx:
4. f(x) = 1x and x1 =
12 ; x2 = 1; x3 =
32 ; x4 = 2; and ¢x =
12
(a)4Xi=1
f(xi)¢x = f(x1)¢x+ f(x2)¢x+ f(x3)¢x+ f(x4)¢x
f(x1) = f
μ1
2
¶=112
= 2
f(x2) = f(1) =1
1= 1
f(x3) = f
μ3
2
¶=132
=2
3
f(x4) = f(2) =1
2
Thus,
4Xi=1
f(xi)¢x
= (2)
μ1
2
¶+ (1)
μ1
2
¶+
μ2
3
¶μ1
2
¶+
μ1
2
¶μ1
2
¶
= 1 +1
2+1
3+1
4=12 + 6 + 4 + 3
12=25
12:
Section 7.3 Area and the De…nite Integral 461
(b)
The sum is approximated by the integralZ 5=2
1=2
1
xdx.
6. f(x) = 3x+ 2 from x = 1 to x = 3
For n = 4 rectangles:
¢x =3¡ 14
= 0:5
(a) Using the left endpoints:
i xi f(xi)
1 1 5
2 1:5 6:5
3 2 8
4 2:5 9:5
A =4Xi=1
f(xi)¢x = 5(0:5) + 6:5(0:5) + 8(0:5) + 9:5(0:5) = 14:5
(b) Using the right endpoints:
i xi f(xi)
1 1:5 6:5
2 2 8
3 2:5 9:5
4 3 11
A = 6:5(0:5) + 8(0:5) + 9:5(0:5) + 11(0:5) = 17:5
(c) Average =14:5 + 17:5
2=32
2= 16
(d) Using the midpoints:
i xi f(xi)
1 1:25 5:75
2 1:75 7:25
3 2:25 8:75
4 2:75 10:25
A =4X1
f(xi)¢x = 5:75(0:5) + 7:25(0:5) + 8:75(0:5) + 10:25(0:5) = 16
462 Chapter 7 INTEGRATION
7. f(x) = 2x+ 5 from x = 2 to x = 4
For n = 4 rectangles:
¢x =4¡ 24
= 0:5
(a) Using the left endpoints:i xi f(xi)
1 2 9
2 2:5 10
3 3 11
4 3:5 12
A =4X1
f(xi)¢x = 9 (0:5) + 10 (0:5) + 11 (0:5) + 12 (0:5) = 21
(b) Using the right endpoints:i xi f(xi)
1 2:5 10
2 3 11
3 3:5 12
4 4 13
A = 10(0:5) + 11(0:5) + 12(0:5) + 13(0:5) = 23
(c) Average =21 + 23
2=44
2= 22
(d) Using the midpoints:i xi f(xi)
1 2:25 9:5
2 2:75 10:5
3 3:25 11:5
4 3:75 12:5
A =4X1
f(xi)¢x = 9:5 (0:5) + 10:5 (0:5) + 11:5 (0:5) + 12:5 (0:5) = 22
8. f(x) = x2 from x = 1 to 5
For n = 4 rectangles:
¢x =5¡ 14
= 1
(a) Using the left endpoints:i xi f(xi)
1 1 1
2 2 4
3 3 9
4 4 16
A =4Xi=1
f(xi)¢x = 1(1) + 4(1) + 9(1) + 16(1) = 30
Section 7.3 Area and the De…nite Integral 463
(b) Using the right endpoints:i xi f(xi)
1 2 4
2 3 9
3 4 16
4 5 25
A = 4(1) + 9(1) + 16(1) + 25(1) = 54
(c) Average =30 + 54
2=84
2= 42
(d) Using the midpoints:i xi f(xi)
13
2
9
4
25
2
25
4
37
2
49
4
49
2
81
4
A =4Xi=1
f(xi)¢x =9
4(1) +
25
4(1) +
49
4(1) +
81
4(1) = 41
9. f(x) = ¡x2 + 4 from x = ¡2 to x = 2For n = 4 rectangles:
¢x =2¡ (¡2)
4= 1
(a) Using the left endpoints:i xi f(xi)
1 ¡2 ¡(¡2)2 + 4 = 02 ¡1 ¡(¡1)2 + 4 = 33 0 ¡(0)2 + 4 = 44 1 ¡(1)2 + 4 = 3
A =4Xi=1
f(xi)¢x = (0)(1) + (3)(1) + (4)(1) + (3)(1) = 10
(b) Using the right endpoints:i xi f(xi)
1 ¡1 3
2 0 4
3 1 3
4 2 0
Area = 1(3) + 1(4) + 1(3) + 1(0) = 10
464 Chapter 7 INTEGRATION
(c) Average =10 + 10
2= 10
(d) Using the midpoints:
i xi f(xi)
1 ¡32
7
4
2 ¡12
15
4
31
2
15
4
43
2
7
4
A =4Xi=1
f(xi)¢x =7
4(1) +
15
4(1) +
15
4(1) +
7
4(1) = 11
10. f(x) = ex ¡ 1 from x = 0 to x = 4
For n = 4 rectangles:
¢x =4¡ 04
= 1
(a) Using the left endpoints:
i xi f(xi)
1 0 0
2 1 1:718
3 2 6:389
4 3 19:086
A =4Xi=1
f(xi)¢x = 0(1) + 1:718(1) + 6:389(1) + 19:086(1) ¼ 27:19
(b) Using the right endpoints:
i xi f(xi)
1 1 1:718
2 2 6:389
3 3 19:086
4 4 53:598
A = 1:718(1) + 6:389(1) + 19:086(1) + 53:598(1) ¼ 80:79
(c) Average =27:19 + 80:79
2= 53:99
Section 7.3 Area and the De…nite Integral 465
(d) Using the midpoints:
i xi f(xi)
11
20:649
23
23:482
35
211:182
47
232:115
A =4Xi=1
f(xi)¢x = 0:649(1) + 3:482(1) + 11:182(1) + 32:115(1) ¼ 47:43
11. f(x) = ex + 1 from x = ¡2 to x = 2
For n = 4 rectangles:
¢x =2¡ (¡2)
4= 1
(a) Using the left endpoints:
i xi f(xi)
1 ¡2 e¡2 + 12 ¡1 e¡1 + 13 0 e0 + 1 = 2
4 1 e1 + 1
A =4Xi=1
f(xi)¢x =4Xi=1
f(xi)(1) =4Xi=1
f(xi) = (e¡2 + 1) + (e¡1 + 1) + 2 + e1 + 1 ¼ 8:2215 ¼ 8:22
(b) Using the right endpoints:
i xi f(xi)
1 ¡1 e¡1 + 12 0 2
3 1 e+ 1
4 2 e2 + 1
Area = 1(e¡1 + 1) + 1(2) + 1(e+ 1) + 1(e2 + 1) ¼ 15:4752 ¼ 15:48
(c) Average =8:2215 + 15:4752
2= 11:84835 ¼ 11:85
466 Chapter 7 INTEGRATION
(d) Using the midpoints:i xi f(xi)
1 ¡32
e¡3=2 + 1
2 ¡12
e¡1=2 + 1
31
2e1=2 + 1
43
2e3=2 + 1
A =4Xi=1
f(xi)¢x = (e¡3=2 + 1)(1) + (e¡1=2 + 1)(1) + (e1=2 + 1)(1) + (e3=2 + 1)(1) ¼ 10:9601 ¼ 10:96
12. f(x) =1
xfrom x = 1 to x = 3
For n = 4 rectangles:
¢x =3¡ 14
= 0:5
(a) Using the left endpoints:i xi f(xi)
1 1 1
2 1:5 0:6667
3 2 0:5
4 2:5 0:4
A =4X1
f(xi)¢x = 1(0:5) + 0:6667(0:5) + 0:5(0:5) + 0:4(0:5) = 1:283
(b) Using the right endpoints:i xi f(xi)
1 1:5 0:6667
2 2 0:5
3 2:5 0:4
4 3 0:3333
A = 0:6667(0:5) + 0:5(0:5) + 0:4(0:5) + 0:3333(0:5) = 0:95
(c) Average =1:283 + 0:95
2=2:233
2= 1:117
(d) Using the midpoints:i xi f(xi)
1 1:25 0:8
2 1:75 0:5714
3 2:25 0:4444
4 2:75 0:3636
A =4X1
f(xi)¢x = 0:8(0:5) + 0:5714(0:5) + 0:4444(0:5) + 0:3636(0:5) = 1:090
Section 7.3 Area and the De…nite Integral 467
13. f(x) =2
xfrom x = 1 to x = 9
For n = 4 rectangles:
¢x =9¡ 14
= 2
(a) Using the left endpoints:i xi f(xi)
1 12
1= 2
2 32
3
3 52
5= 0:4
4 72
7
A =4Xi=1
f(xi)¢x = (2)(2) +2
3(2) + (0:4)(2) +
μ2
7
¶(2) ¼ 6:7048 ¼ 6:70
(b) Using the right endpoints:i xi f(xi)
1 32
3
2 52
5
3 72
7
4 92
9
Area = 2μ2
3
¶+ 2
μ2
5
¶+ 2
μ2
7
¶+ 2
μ2
9
¶=4
3+4
5+4
7+4
9¼ 3:1492 ¼ 3:15
(c) Average =6:7 + 3:15
2= 4:93
(d) Using the midpoints:i xi f(xi)
1 2 1
2 41
2
3 61
3
4 81
4
A =4Xi=1
f(xi)¢x = 1(2) +1
2(2) +
1
3(2) +
1
4(2) ¼ 4:1667 ¼ 4:17
468 Chapter 7 INTEGRATION
14. (a) Width =4¡ 04
= 1; f(x) =x
2
Area = 1 ¢ fμ1
2
¶+ 1 ¢ f
μ3
2
¶+ 1 ¢ f
μ5
2
¶+ 1 ¢ f
μ7
2
¶=1
4+3
4+5
4+7
4=16
4= 4
(b)
4Z0
f(x)dx =
4Z0
x
2dx =
1
2(base)(height) =
1
2(4)(2) = 4
15.Z 5
0
(5¡ x)dx
Graph y = 5¡ x:
Z 5
0
(5¡ x)dx is the area of a triangle with base = 5¡ 0 = 5 and altitude = 5.
Area =1
2(altitude)(base) =
1
2(5)(5) = 12:5
16. (a) Area of triangle is 12 ¢base ¢height.The base is 4; the height is 2. Z 4
0
f(x)dx =1
2¢ 4 ¢ 2 = 4
(b) The larger triangle has an area of 12 ¢ 3 ¢ 3 = 92 : The smaller triangle has an area of
12 ¢ 1 ¢ 1 = 1
2 : The sum is92 +
12 =
102 = 5:
17. (a)Z 2
0
f(x)dx is the area of a rectangle with width x = 2 and length y = 4: The rectangle has area 2 ¢ 4 = 8:Z 6
2
f(x)dx is the area of one-fourth of a circle that has radius 4. The area is 14¼r2 = 1
4¼(4)2 = 4¼:
Therefore,Z 6
2
f(x)dx = 8 + 4¼:
Section 7.3 Area and the De…nite Integral 469
(b)Z 2
0
f(x)dx is the area of one-fourth of a circle that has radius 2. The area is 14¼r2 = 1
4¼(2)2 = ¼:
Z 6
2
f(x)dx is the area of a triangle with base 4 and height 2. The triangle has area 12 ¢ 4 ¢ 2 = 4:
Therefore,Z 6
0
f(x)dx = 4 + ¼:
18.Z 3
¡3
p9¡ x2 dx
Graph y =p9¡ x2:
Z 3
¡3
p9¡ x2 dx is the area of a semicircle with radius 3 centered at the origin.
Area =1
2¼r2 =
1
2¼(3)2 =
9
2¼
19.Z 0
¡4
p16¡ x2 dx
Graph y =p16¡ x2:
Z 0
¡4
p16¡ x2 dx is the area of the portion of the circle in the second quadrant, which is one-fourth of a circle.
The circle has radius 4.
Area =1
4¼r2 =
1
4¼(4)2 = 4¼
470 Chapter 7 INTEGRATION
20.Z 3
1
(5¡ x)dx
Graph y = 5¡ x:
Z 3
1
(5¡ x)dx is the area of a trapezoid with bases
of length 4 and 2 and height of length 2.
Area =1
2(height)(base1 + base2) =
1
2(2)(4 + 2) = 6
21.Z 5
2
(1 + 2x)dx
Graph y = 1 + 2x:
Z 5
2
(1 + 2x)dx is the area of the trapezoid with B = 11; b = 5; and h = 3: The formula for the area is
A =1
2(B + b)h;
so we have
A =1
2(11 + 5)(3) = 24:
22. (a) With n = 10;¢x = 1¡010 = 0:1; and x1 = 0 + 0:1 = 0:1, use the command seq(X2;X; 0:1; 1; 0:1) !L1. The
resulting screen is:
Section 7.3 Area and the De…nite Integral 471
(b) SincenPi=1
f(xi)¢x = ¢x
μnPi=1
f(xi)
¶, use the command 0:1¤sum(L1) to approximate R 1
0x2dx. The
resulting screen is:
1R0
x2dx ¼ 0:385
(c) With n = 100;¢x = 1¡0100 = 0:01 and x1 = 0 + 0:01 = 0:01, use the command seq(X
2;X; 0:1; 1; 0:1) !L1.The resulting screen is:
Use the command 0:01¤sum(L1) to approximate R 10 x2dx. The resulting screen is:
R 10x2dx ¼ 0:33835
(d)With n = 500;¢x = 1¡0500 = 0:002; and x1 = 0+ 0:002 = 0:002, use the command seq(X
2;X; 0:1; 1; 0:1)!L1.The resulting screen is:
Use the command 0.002¤sum(L1) to approximate R 10 x2dx. The resulting screen is:
R 10 x
2dx ¼ 0:334334
(e) As n gets larger the approximation forR 10 x
2dx seems to be approaching 0.333333 or 13 . We estimateR 1
0x2dx = 1
3 .
472 Chapter 7 INTEGRATION
23. (a) With n = 10, ¢x = 1¡010 = 0:1; and x1 = 0 + 0:1 = 0:1, use the command seq(X^3;X; 0:1; 0:1; 0:1) !L1.
The resulting screen is:
(b) SincenPi=1
f(xi)¢x = ¢x
μnPi=1
f(xi)
¶, use the command 0.1¤sum(L1) to approximate R 1
0x3dx. The
resulting screen is:
1Z0
x3dx ¼ 0:3025
(c)With n = 100;¢x = 1¡0100 = 0:01, and x1 = 0 + 0:01 = 0:01, use the command seq(X^3;X; 0:01; 0:1; 0:01)!L1.
The resulting screen is:
Use the command 0.01¤sum(L1) to approximate R 10x3dx. The resulting screen is:
Z 1
0
x3dx ¼ 0:255025
(d)With n = 500;¢x = 1¡0500 = 0:002, and x1 = 0+0:002 = 0:002, use the command seq (X
^3;X; 0:002; 1; 0:002)!L1.The resulting screen is:
Section 7.3 Area and the De…nite Integral 473
Use the command 0.002¤sum(L1) to approximate R 10x3dx. The resulting screen is:
Z 1
0
x3dx ¼ 0:251001
(e) As ngets larger the approximation forR 10x3dx seems to be approaching 0.25 or 14 . We estimateR 1
0x3dx = 1
4 :
For Exercises 24¡34, readings on the graphs and answers may vary.24. Left endpoints:
Read values of the function from the graph for every 2 hours from midnight to 10 P.M. These values give theheights of 12 rectangles. The width of each rectangle is ¢x = 2: We estimate the area under the curve as
A =12Xi=1
f(xi)¢x
= 3:0(2) + 3:2(2) + 3:5(2) + 4:2(2) + 5:2(2) + 6:2(2) + 8:0(2) + 11:0(2) + 11:8(2) + 10:0(2) + 6:0(2) + 4:4(2)
= 153:0
Right endpoints:
Read values of the function from the graph for every 2 hours from 2 A.M. to midnight. Now we estimate thearea under the curve as
A =12Xi=1
f(xi)¢x
= 3:2(2) + 3:5(2) + 4:2(2) + 5:2(2) + 6:2(2) + 8:0(2) + 11:0(2) + 11:8(2) + 10:0(2) + 6:0(2) + 4:4(2) + 3:8(2)
= 154:6
Average:153:0 + 154:6
2=307:6
2= 153:8
The area under the curve represents the total electricity usage. We estimate this usage as about 154 millionkilowatt hours.
25. Left endpoints:
Read values of the function on the graph every 5 years from 1980 to 2000. These values give us the heights of5 rectangles. The width of each rectangle is ¢x = 5: We estimate the area under the curve as
A =5Xi=1
f(xi)¢x = 702:7(5) + 818(5) + 902:9(5) + 962:1(5) + 1084:1(5) = 22,349
Right endpoints:
Read values of the function from the graph every 5 years from 1985 to 2005. These values give the heights of5 rectangles. The width of each rectangle is ¢x = 5: We estimate the area under the curve as
A =5Xi=1
f(xi)¢x = 818(5) + 902:9(5) + 962:1(5) + 1084:1(5) + 1128:3(5) = 24,477
474 Chapter 7 INTEGRATION
Average:22,349 + 24,477
2=46,8262
= 23,413
The area under the curve represents the total U.S. coal consumption. We estimate this consumption as about23,413 million short tons.
26. Left endpoints:
Read values of the function from the graph for every minute from 0 minutes to 19 minutes. These values givethe heights of 20 rectangles. The width of each rectangle is ¢x = 1: We estimate the area under the curve as20Xi=1
f(xi)¢x
= 0(1) + 2:4(1) + 2:9(1) + 3:1(1) + 3:2(1) + 3:3(1) + 3:3(1) + 3:3(1) + 3:3(1)
+ 3:3(1) + 3:3(1) + 1:1(1) + 0:7(1) + 0:6(1) + 0:5(1) + 0:4(1) + 0:3(1)
+ 0:3(1) + 0:2(1) + 0:2(1)
¼ 35:7:Right endpoints:
Read values of the function from the graph for every minute from 1 minutes to 20 minutes.Now we estimate the area under the curve as20Xi=1
f(xi)¢x
= 2:4(1) + 2:9(1) + 3:1(1) + 3:2(1) + 3:3(1) + 3:3(1) + 3:3(1) + 3:3(1) + 3:3(1)
+ 3:3(1) + 1:1(1) + 0:7(1) + 0:6(1) + 0:5(1) + 0:4(1) + 0:3(1) + 0:3(1)
+ 0:2(1) + 0:2(1) + 0:2(1)
¼ 35:9:Average:
35:7 + 35:9
2= 35:8
The area under the curve represents the total volume of oxygen inhaled. We estimate this volume as about35.8 liters.
27. (a) Left endpoints:
Read values of the function from the graph for every 14 days from 18 Feb. through 30 Apr. The values givethe heights of 6 rectangles. The width of each rectangle is ¢x = 14: We estimate the area under the curve as
A =6Xi=1
f(xi)¢x = 0(14) + 15(14) + 33(14) + 40(14) + 16(14) + 5(14) = 1526:
Right endpoints:
Read values of the function from the graph for every 14 days from 4 Mar. through 13 May. Now we estimatethe area under the curve as
A =6Xi=1
f(xi)¢x = 15(14) + 33(14) + 40(14) + 16(14) + 5(14) + 1(14) = 1540:
Average:1526 + 1540
2= 1533
There were about 1533 cases of the disease.
Section 7.3 Area and the De…nite Integral 475
(b) Left endpoints:
Read values of the function from the graph for every 14 days from 18 Feb. through 30 Apr. The values givethe heights of 6 rectangles. The width of each rectangle is ¢x = 14: We estimate the area under the curve as
A =6Xi=1
f(xi)¢x = 0(14) + 10(14) + 15(14) + 10(14) + 3(14) + 1(14) = 546:
Right endpoints:
Read values of the function from the graph for every 14 days from 4 Mar. through 13 May. Now we estimatethe area under the curve as
A =6Xi=1
f(xi)¢x = 10(14) + 15(14) + 10(14) + 3(14) + 1(14) + 1(14) = 560:
Average:546 + 560
2= 553
There would have been about 553 cases of the disease.
28. Left endpoints:
Read values of the function from the graph for every 2 years from 1996 to 2002. These values give the heightsof 4 rectangles. The width of each rectangle is ¢x = 2: We estimate the area under the curve as
A =4Xi=1
f(xi)¢x = 3555(2) + 3075(2) + 3331(2) + 3650(2) = 27,222:
Right endpoints:
Read values of the function from the graph for every 5 years from 1998 to 2004. These values give the heightsof 4 rectangles. The width of each rectangle is ¢x = 2: We estimate the area under the curve as
A =4Xi=1
f(xi)¢x = 3075(2) + 3331(2) + 3650(2) + 3701(2) = 27,514
Average:27,222 + 27,514
2=54,7362
= 27,368
The area under the curve represents the number of fatal automobile accidents in California from 1996 to 2004.We estimate this number as about 27,368 collisions.
29. Read the value of the function for every 5 sec from x = 2:5 to x = 12:5: These are the midpoints of rectangleswith width ¢x = 5: Then read the function for x = 17; which is the midpoint of a rectangle with width ¢x = 4:
4Xi=1
f(xi)¢x ¼ 36(5) + 63(5) + 84(5) + 95(4) ¼ 1295
1295
3600(5280) ¼ 1900
The Porsche 928 traveled about 1900 ft.
476 Chapter 7 INTEGRATION
30. Read the value for the speed every 5 sec from x = 2:5 to x = 22:5: These are the midpoints of rectangles withwidth ¢x = 5: Then read the speed for x = 26:5; which is the midpoint of a rectangle with width ¢x = 3:
6Xi=1
f(xi)¢x ¼ 28(5) + 54(5) + 72(5) + 82(5) + 92(5) + 98(3) = 1934
1934
3600(5280) ¼ 2800
The BMW 733i traveled about 2800 ft.
31. Left endpoints:
Read values of the function from the table for every number of seconds from 2.0 to 19.3. These values give theheights of 10 rectangles. The width of each rectangle varies: We estimate the area under the curve as10Xi=1
f(xi)¢x
= 30(2:9¡ 2:0) + 40(4:1¡ 2:9) + 50(5:3¡ 4:1) + 60(6:9¡ 5:3) + 70(8:7¡ 6:9) + 80(10:7¡ 8:7)+ 90(13:2¡ 10:7) + 100(16:1¡ 13:2) + 110(19:3¡ 16:1) + 120(23:4¡ 19:3)= 1876
5280
3600(1876) ¼ 2751
Right endpoints:
Read values of the function from the table for every number of seconds from 2.0 to 23.4. These values give theheights of 11 rectangles. The width of each rectangle varies: We estimate the area under the curve as11Xi=1
f(xi)¢x
= 30(2:0¡ 0) + 40(2:9¡ 2:0) + 50(4:1¡ 2:9) + 60(5:3¡ 4:1) + 70(6:9¡ 5:3) + 80(8:7¡ 6:9)+ 90(10:7¡ 8:7) + 100(13:2¡ 10:7) + 110(16:1¡ 13:2) + 120(19:3¡ 16:1) + 130(23:4¡ 19:3)= 2150
5280
3600(2150) ¼ 3153
Average:2751 + 3153
2=5904
2
= 2952
The distance traveled by the Mercedes-Benz S550 is about 2952 ft.
32. Left endpoints:
Read values of the function from the table for every number of seconds from 2.4 to 19.2. These values give theheights of 8 rectangles. The width of each rectangle varies: We estimate the area under the curve as8Xi=1
f(xi)¢x
= 30(3:5¡ 2:4) + 40(5:1¡ 3:5) + 50(6:9¡ 5:1) + 60(8:9¡ 6:9)+ 70(11:2¡ 8:9) + 80(14:9¡ 11:2) + 90(19:2¡ 14:9) + 100(24:4¡ 19:2)= 1671
5280
3600(1671) ¼ 2451
Section 7.3 Area and the De…nite Integral 477
Right endpoints:
Read values of the function from the table for every number of seconds from 2.4 to 24.4. These values give theheights of 9 rectangles. The width of each rectangle varies: We estimate the area under the curve as
9Xi=1
f(xi)¢x
= 30(2:4¡ 0) + 40(3:5¡ 2:4) + 50(5:1¡ 3:5) + 60(6:9¡ 5:1) + 70(8:9¡ 6:9) + 80(11:2¡ 8:9)+ 90(14:9¡ 11:2) + 100(19:2¡ 14:9) + 110(24:4¡ 19:2)= 1963
5280
3600(1963) ¼ 2879
Average:
2451 + 2879
2=5330
2= 2665
The distance traveled by the Chevrolet Malibu Maxx SS is about 2665 ft.
33. (a) Read values of the function on the plain glass graph every 2 hr from 6 to 6. These are at midpoints of thewidths ¢x = 2 and represent the heights of the rectangles.
f(xi)¢x = 132(2) + 215(2) + 150(2) + 44(2) + 34(2) + 26(2) + 12(2) ¼ 1226
The total heat gain was about 1230 BTUs per square foot.
(b) Read values on the ShadeScreen graph every 2 hr from 6 to 6.
Xf(xi)¢x = 38(2) + 25(2) + 16(2) + 12(2) + 10(2) + 10(2) + 5(2) ¼ 232
The total heat gain was about 230 BTUs per square foot.
34. (a) Read the value for a plain glass window facing south for every 2 hr from 6 to 6. These are the heights, atthe midpoints, of rectangles with width ¢x = 2:
X= 10(2) + 30(2) + 80(2) + 107(2) + 79(2) + 29(2) + 10(2) ¼ 690
The heat gain is about 690 BTUs per square foot.
(b) Read the value for a window with Shadescreen facing south for every 2 hr from 6 to 6. These are theheights, at the midpoints, of rectangles with width ¢x = 2:
X= 4(2) + 10(2) + 20(2) + 22(2) + 20(2) + 10(2) + 4(2) ¼ 180
The heat gain is about 180 BTUs per square foot.
478 Chapter 7 INTEGRATION
35. (a) The area of a trapezoid is
A =1
2h(b1 + b2) =
1
2(6)(1 + 2) = 9:
Car A has traveled 9 ft.
(b) Car A is furthest ahead of car B at 2 sec. Notice that from t = 0 to t = 2; v(t) is larger for car A than forcar B: For t > 2; v(t) is larger for car B than for car A:
(c) As seen in part (a), car A drove 9 ft after 2 sec. The distance of car B can be calculated as follows:
2¡ 04
=1
2= width
Distance =1
2¢ v(0:25) + 1
2v(0:75) +
1
2v(1:25) +
1
2v(1:75) =
1
2(0:2) +
1
2(1) +
1
2(2:6) +
1
2(5) = 4:4
9¡ 4:4 = 4:6The furthest car A can get ahead of car B is about 4.6 ft.
(d) At t = 3; car A travels 12(6)(2 + 3) = 15 ft and car B travels approximately 13 ft.At t = 3:5; car A travels 1
2(6)(2:5 + 3:5) = 18 ft and car B travels approximately 18.25 ft. Therefore, car Bcatches up with car A between 3 and 3.5 sec.
36. Using the left endpoints:
Distance = v0(1) + v1(1) + v2(1) + v3(1) = 0 + 8 + 13 + 17 = 38 ft
Using the right endpoints:
Distance = v1(1) + v2(1) + v3(1) + v4(1) = 8 + 13 + 17 + 18 = 56 ft
37. Using the left endpoints:
Distance = v0(1) + v1(1) + v2(1) = 10 + 6:5 + 6 = 22:5 ft
Using the right endpoints:
Distance = v1(1) + v2(1) + v3(1) = 6:5 + 6 + 5:5 = 18 ft
38. (a) Using the left endpoints:
Distance =nXi=1
f(xi)¢xi
= 0(1:84) + 12:9(1:96) + 23:8(2:58) + 26:3(0:85) + 26:3(1:73) + 26:0(0:87)
= 0 + 25:284 + 61:404 + 22:355 + 45:499 + 22:62
= 177:162
Since we multiplied the units of seconds by miles per hour, we need to divide by 3600 (the number of secondsin an hour) to get a distance in miles.
177:162
3600¼ 0:0492
The estimate of the distance is 0.0492 miles.
Section 7.4 The Fundamental Theorem of Calculus 479
(b) Using the right endpoints:
Distance =nXi=1
f(xi)¢xi
= 12:9(1:84) + 23:8(1:96) + 26:3(2:58) + 26:3(0:85) + 26:0(1:73) + 25:7(0:87)
= 23:736 + 46:648 + 67:854 + 22:355 + 44:98 + 22:359
= 227:932
Divide by 3600 (the number of seconds in an hour) to get a distance in miles.
227:932
3600¼ 0:0633
The estimate of the distance is 0.0633 miles.
(c)100
1609¼ 0:0622
Johnson actually ran 0.0622 miles. The answer to part b is closer.
39. (a) Read values from the graph for every hour from 1 A.M. through 11 P.M. The values give the heights of23 rectangles. The width of each rectangle is ¢x = 1: We estimate the area under the curve as
A =23Xi=1
f(xi)¢x
= 500(1) + 550(1) + 800(1) + 1600(1) + 4000(1) + 7000(1) + 7000(1) + 5900(1) + 4500(1)
+ 3500(1) + 3100(1) + 3100(1) + 3500(1) + 3800(1) + 4100(1) + 4800(1) + 4750(1)
+ 4000(1) + 2500(1) + 2250(1) + 1800(1) + 1500(1) + 1050(1)
= 75,600
(b) Read values from the graph for every hour from 1 A.M. through 11 P.M. The values give the heights of23 rectangles. The width of each rectangle is ¢x = 1: We estimate the area under the curve as
A =23Xi=1
f(xi)¢x
= 500(1) + 400(1) + 400(1) + 700(1) + 1500(1) + 3000(1) + 4100(1) + 3900(1) + 3200(1)
+ 3600(1) + 4000(1) + 4000(1) + 4300(1) + 5200(1) + 6000(1) + 6500(1) + 6400(1)
+ 6000(1) + 4700(1) + 3100(1) + 2600(1) + 1900(1) + 1300(1)
= 77,300
7.4 The Fundamental Theorem of Calculus
1.Z 4
¡2(¡3)dp = ¡3
Z 4
¡2dp = ¡3 ¢ pj4¡2 = ¡3[4¡ (¡2)] = ¡18
2.Z 1
¡4
p2dx =
p2
Z 1
¡4dx =
p2 ¢ x
¯1¡4=p2[1¡ (¡4)] = 5p2
480 Chapter 7 INTEGRATION
3.Z 2
¡1(5t¡ 3)dt = 5
Z 2
¡1t dt¡ 3
Z 2
¡1dt
=5
2t2¯¯2
¡1¡ 3t
¯2¡1
=5
2[22 ¡ (¡1)2]¡ 3[2¡ (¡1)]
=5
2(4¡ 1)¡ 3(2 + 1)
=15
2¡ 9
=15
2¡ 182
= ¡32
4.Z 2
¡2(4z + 3)dz = 4
Z 2
¡2z dz + 3
Z 2
¡2dz
= 2z2¯2¡2+ 3z
¯2¡2
= 2[22 ¡ (¡2)2] + 3[2¡ (¡2)]= 2(4¡ 4) + 3(4) = 12
5.Z 2
0
(5x2 ¡ 4x+ 2)dx
= 5
Z 2
0
x2 dx¡ 4Z 2
0
xdx+ 2
Z 2
0
dx
=5x3
3
¯20¡ 2x2
¯20+ 2x
¯20
=5
3(23 ¡ 03)¡ 2(22 ¡ 02) + 2(2¡ 0)
=5
3(8)¡ 2(4) + 2(2)
=40¡ 24 + 12
3=28
3
6.Z 3
¡2(¡x2 ¡ 3x+ 5)dx
= ¡Z 3
¡2x2 dx¡ 3
Z 3
¡2xdx+ 5
Z 3
¡2dx
= ¡13x3¯3¡2¡ 32x2¯3¡2+ 5x
¯3¡2
= ¡13[33¡(¡2)3]¡ 3
2[32¡(¡2)2]+5[3¡(¡2)]
= ¡13(27 + 8)¡ 3
2(9¡ 4) + 5(5)
= ¡353¡ 152+ 25 =
35
6
7.Z 2
0
3p4u+ 1du
Let 4u+ 1 = x; so that 4du = dx:
When u = 0; x = 4(0) + 1 = 1:When u = 2; x = 4(2) + 1 = 9:Z 2
0
3p4u+ 1du
=3
4
Z 2
0
p4u+ 1(4du)
=3
4
Z 9
1
x1=2 dx
=3
4¢ x
3=2
3=2
¯91
=3
4¢ 23(93=2 ¡ 13=2)
=1
2(27¡ 1) = 26
2= 13
8.Z 9
3
p2r ¡ 2dr =
Z 9
3
(2r ¡ 2)1=2 dr
Let u = 2r ¡ 2; so that du = 2dr:If r = 9; u = 2 ¢ 9¡ 2 = 16:If r = 3; u = 2 ¢ 3¡ 2 = 4:Z 9
3
(2r ¡ 2)1=2 dr = 1
2
Z 9
3
(2r ¡ 2)1=2 2dr
=1
2
Z 16
4
u1=2 du
=1
2¢ u
3=2
32
¯164
=1
3¢ u3=2
¯164
=1
3(163=2 ¡ 43=2)
=1
3(64¡ 8) = 56
3
9.Z 4
0
2(t1=2 ¡ t)dt = 2Z 4
0
t1=2dt¡ 2Z 4
0
t dt
= 2 ¢ t3=2
32
¯¯4
0
¡ 2 ¢ t2
2
¯¯4
0
=4
3(43=2 ¡ 03=2)¡ (42 ¡ 02)
=32
3¡ 16
= ¡163
Section 7.4 The Fundamental Theorem of Calculus 481
10.Z 4
0
¡(3x3=2 + x1=2)dx
= ¡3Z 4
0
x3=2 dx¡Z 4
0
x1=2 dx
= ¡3x5=2
52
¯40¡ x
3=2
32
¯40
= ¡65(32)¡ 2
3(8)
= ¡1925¡ 163= ¡656
15
11.Z 4
1
(5ypy + 3
py)dy
= 5
Z 4
1
y3=2 dy + 3
Z 4
1
y1=2 dy
= 5
μy5=2
52
¶ ¯41+ 3
μy3=2
32
¶ ¯41
= 2y5=2¯41+ 2y3=2
¯41
= 2(45=2 ¡ 1) + 2(43=2 ¡ 1)= 2(32¡ 1) + 2(8¡ 1)= 62 + 14
= 76
12.Z 9
4
(4pr ¡ 3rpr)dr
= 4
Z 9
4
r1=2 dr ¡ 3Z 9
4
r3=2 dr
= 4r3=2
32
¯94¡ 3r
5=2
52
¯94
=8
3r3=2
¯94¡ 65r5=2
¯94
=8
3(27¡ 8)¡ 6
5(243¡ 32)
=8
3¢ 19¡ 6
5(211)
=760
15¡ 3798
15= ¡3038
15
13.Z 6
4
2
(2x¡ 7)2 dxLet u = 2x¡ 7; so that du = 2dx:When x = 6; u = 2 ¢ 6¡ 7 = 5:When x = 4; u = 2 ¢ 4¡ 7 = 1:Z 6
4
2
(2x¡ 7)2 dx =Z 5
1
u¡2du
=u¡1
¡1¯¯5
1
= ¡u¡1 ¯51
= ¡μ1
5¡ 1¶
= ¡μ¡45
¶=4
5
14.Z 4
1
¡3(2p+ 1)2
dp
= ¡3Z 4
1
(2p+ 1)¡2 dp
Let u = 2p+ 1; so that du = 2dp:
If p = 4; u = 2 ¢ 4 + 1 = 9:If p = 1; u = 2 ¢ 1 + 1 = 3:¡3Z 4
1
(2p+ 1)¡2 dp
= ¡32
Z 9
3
u¡2 du
= ¡32¢ u
¡1
¡1¯93
=3
2u
¯93
=3
18¡ 36= ¡1
3
15.Z 5
1
(6n¡2 ¡ n¡3)dn = 6Z 5
1
n¡2dn¡Z 5
1
n¡3dn
= 6 ¢ n¡1
¡1¯¯5
1
¡ n¡2
¡2¯¯5
1
=¡6n
¯¯5
1
+1
2n2
¯¯5
1
=¡65¡μ¡61
¶+
·1
2(25)¡ 1
2(1)
¸
=¡65+6
1+1
50¡ 12
=108
25
482 Chapter 7 INTEGRATION
16.Z 3
2
(3x¡3 ¡ 5x¡4)dx = 3Z 3
2
x¡3 dx¡ 5Z 3
2
x¡4 dx
= 3 ¢ x¡2
¡2¯32¡ 5x
¡3
¡3¯32
= ¡32¢ 1x2
¯32+5
3¢ 1x3
¯32
= ¡32
μ1
9¡ 14
¶+5
3
μ1
27¡ 18
¶
= ¡16+3
8+5
81¡ 5
24
=5
81
17.Z ¡2
¡3
μ2e¡0:1y +
3
y
¶dy
= 2
Z ¡2
¡3e¡0:1ydy +
Z ¡2
¡3
3
ydy
= 2 ¢ e¡0:1y
¡0:1¯¯¡2
¡3+ 3 ln jyj
¯¯¡2
¡3
= ¡ 20e¡0:1y ¯¡2¡3 + 3 ln jyj¯¯¡2
¡3
= 20e0:3 ¡ 20e0:2 + 3 ln 2¡ 3 ln 3¼ 1:353
18.Z ¡1
¡2
μ¡2t+ 3e0:3t
¶dt
= ¡2Z ¡1
¡2
1
tdt+
3
0:3
Z ¡1
¡20:3e0:3tdt
= ¡ 2 ln jtj¯¯¡1
¡2+
3
0:3e0:3t
¯¯¡1
¡2
= 2 ln 2 + 10e¡0:3 ¡ 10e¡0:6¼ 3:306
19.Z 2
1
μe4u ¡ 1
(u+ 1)2
¶du
=
Z 2
1
e4udu¡Z 2
1
1
(u+ 1)2du
=e4u
4
¯¯2
1
¡ ¡1u+ 1
¯¯2
1
=e8
4¡ e
4
4+
1
2 + 1¡ 1
1 + 1
=e8
4¡ e
4
4¡ 16
¼ 731:4
20.Z 1
0:5
(p3 ¡ e4p)dp =Z 1
0:5
p3 dp¡Z 1
0:5
e4p dp
=p4
4
¯10:5¡ e
4p
4
¯10:5
=1
4¡ 1
64¡μe4
4¡ e
2
4
¶
=15
64¡ e
4
4+e2
4¼ ¡11:57
21.Z 0
¡1y(2y2 ¡ 3)5 dy
Let u = 2y2 ¡ 3; so thatdu = 4y dy and
1
4du = y dy:
When y = ¡1; u = 2(¡1)2 ¡ 3 = ¡1:When y = 0; u = 2(0)2 ¡ 3 = ¡3:
1
4
Z ¡3
¡1u5 du =
1
4¢ u
6
6
¯¡3¡1
=1
24u6¯¡3¡1
=1
24(¡3)6 ¡ 1
24(¡1)6
=729
24¡ 1
24
=728
24
=91
3
22.Z 3
0
m2(4m3 + 2)3 dm
Let u = 4m3 + 2; so that
du = 12m2 dm and1
12du = m2 dm:
Also, when m = 3;
u = 4(33) + 2 = 110;
and when m = 0;
u = 4(03) + 2 = 2:
1
12
Z 110
2
u3 du =1
12¢ u
4
4
¯1102
=1
48u4
¯1102
=146,410,000
48¡ 1648
=146,409,984
48
=9,150,624
3
¼ 3,050,208
Section 7.4 The Fundamental Theorem of Calculus 483
23.Z 64
1
pz ¡ 23pz
dz
=
Z 64
1
μz1=2
z1=3¡ 2z¡1=3
¶dz
=
Z 64
1
z1=6 dz ¡ 2Z 64
1
z¡1=3 dz
=z7=6
76
¯641¡ 2z
2=3
23
=6z7=6
7
¯641¡ 3z2=3
¯641
=6(64)7=6
7¡ 6(1)
7=6
7
¡ 3(642=3 ¡ 12=3)
=6(128)
7¡ 67¡ 3(16¡ 1)
=768¡ 6¡ 315
7
=447
7¼ 63:86
24.Z 8
1
3¡ y1=3y2=3
dy
=
Z 8
1
(3y¡2=3 ¡ y¡1=3)dy
=
Z 8
1
3y¡2=3 dy ¡Z 8
1
y¡1=3 dy
=3y1=3
13
¯81¡ y
2=3
23
¯81
= 9y1=3¯81¡ 3y
2=3
2
¯81
= 9(2¡ 1)¡ 32(4¡ 1)
= 9¡ 92=9
2
25.Z 2
1
ln x
xdx
Let u = ln x; so that
du =1
xdx:
When x = 1; u = ln 1 = 0:
When x = 2; u = ln 2:Z ln 2
0
udu =u2
2
¯ln 2
0
=(ln 2)2
2¡ 0
=(ln 2)2
2
¼ 0:2402
26.Z 3
1
pln x
xdx
Let u = ln x; so that
du =1
xdx:
When x = 3; u = ln 3; andwhen x = 1; u = ln 1 = 0:Z ln 3
0
pudu =
Z ln 3
0
u1=2 du
=u3=2
32
¯ln 30
=2
3u3=2
¯ln 30
=2
3(ln 3)3=2 ¡ 2
3(0)3=2
=2
3(ln 3)3=2
¼ 0:7677
27.Z 8
0
x1=3px4=3 + 9 dx
Let u = x4=3 + 9; so that
du =4
3x1=3 dx and
3
4du = x1=3 dx:
When x = 0; u = 04=3 + 9 = 9:When x = 8; u = 84=3 + 9 = 25:
3
4
Z 25
9
pudu =
3
4
Z 25
9
u1=2 du
=3
4¢ u
3=2
32
¯259
=1
2u3=2
¯259
=1
2(25)3=2 ¡ 1
2(9)3=2
=125
2¡ 272
= 49
484 Chapter 7 INTEGRATION
28.Z 2
1
3
x(1 + ln x)dx
Let u = 1 + ln x; so that
du =1
xdx:
When x = 2; u = 1 + ln 2; andwhen x = 1; u = 1 + ln 1 = 1:Z 1+ln 2
1
3
udu
= 3 ln juj¯1+ln 21
= 3 ln (1 + ln 2)¡ 3 ln 1= 3 ln (1 + ln 2)
¼ 1:580
29.Z 1
0
e2t
(3 + e2t)2dt
Let u = 3 + e2t; so that du = 2e2tdt:
When x = 1; u = 3 + e2¢1 = 3 + e2:When x = 0; u = 3 + e2¢0 = 4:Z 1
0
e2t
(3 + e2t)2dt =
1
2
Z 3+e2
4
u¡2du
=1
2¢ u
¡1
¡1¯¯3+e2
4
=¡12u
¯¯3+e2
4
=1
8¡ 1
2(3 + e2)
¼ 0:07687
30.Z 1
0
e2zp1 + e2z
dz
Let u = 1 + e2z; so that
du = 2e2z dz and1
2du = e2z dz:
When z = 1; u = 1 + e2; andwhen z = 0; u = 1+ e0 = 2:
1
2
Z 1+e2
2
1pudu =
1
2
Z 1+e2
2
u¡1=2 du
=1
2¢ u
1=2
12
¯1+e22
= u1=2¯1+e22
=p1 + e2 ¡p2
¼ 1:482
31. f(x) = 2x¡ 14; [6; 10]
The graph crosses the x-axis at
0 = 2x¡ 142x = 14
x = 7:
This location is in the interval. The area of theregion is¯¯Z 7
6
(2x¡ 14)dx¯¯+
Z 10
7
(2x¡ 14)dx
=¯(x2 ¡ 14x)¯7
6
¯+ (x2 ¡ 14x)¯10
7
=¯(72 ¡ 98)¡ (62 ¡ 84)¯+ (102 ¡ 140)¡ (72 ¡ 98)= j¡1j+ (¡40)¡ (¡49)= 10:
32. f(x) = 4x¡ 32; [5; 10]
The graph crosses the x-axis at
0 = 4x¡ 324x = 32
x = 8:
Section 7.4 The Fundamental Theorem of Calculus 485
This location is in the interval. The area of theregion is¯¯Z 8
5
(4x¡ 32)dx¯¯+
Z 10
8
(4x¡ 32)dx
=¯(2x2 ¡ 32x)¯8
5
¯+ (2x2 ¡ 32x)¯10
8
= j(128¡ 256)¡ (50¡ 160)j+ (200¡ 320)¡ (128¡ 256)= j¡18j+ (¡120) + 128= 26:
33. f(x) = 2¡ 2x2; [0; 5]
Find the points where the graph crosses the x-axisby solving 2¡ 2x2 = 0:
2¡ 2x2 = 02x2 = 2
x2 = 1
x = §1:
The only solution in the interval [0; 5] is 1.The total area isZ 1
0
(2¡ 2x2)dx+¯¯Z 5
1
(2¡ 2x2)dx¯¯
=
μ2x¡ 2x
3
3
¶¯¯1
0
+
¯¯μ2x¡ 2x3
3
¶¯¯5
1
¯¯
= 2¡ 23+
¯¯10¡ 2(53)3 ¡ 2 + 2
3
¯¯
=4
3+
¯¯¡2243
¯¯
=228
3
= 76:
34. f(x) = 9¡ x2; [0; 6]
The graph crosses the x-axis at
0 = 9¡ x2x2 = 9
x = §3:
In the interval, the graph crosses at x = 3:The area of the region is
Z 3
0
(9¡ x2)dx+¯¯Z 6
3
(9¡ x2)dx¯¯
=
μ9x¡ x
3
3
¶ ¯30+
¯¯μ9x¡ x
3
3
¶ ¯63
¯¯
= (27¡ 9) + j(54¡ 72)¡ (27¡ 9)j= 18 + j¡36j= 18 + 36
= 54:
35. f(x) = x3; [¡1; 3]
The solution
x3 = 0
x = 0
indicates that the graph crosses the x-axis at 0 inthe given interval [¡1; 3]:
486 Chapter 7 INTEGRATION
The total area is¯¯Z 0
¡1x3 dx
¯¯+
Z 3
0
x3 dx
=
¯¯x44
¯¯0
¡1+
¯¯x44
¯¯3
0
=
¯¯μ0¡ 1
4
¶¯¯+
μ34
4¡ 0¶
=1
4+81
4=82
4
=41
2:
36. f(x) = x3 ¡ 2x; [¡2; 4]
The graph crosses the x-axis at
0 = x3 ¡ 2x= x(x2 ¡ 2)
x = 0; x =p2; and x = ¡p2:
These locations are all in the interval.The area of the region is¯¯Z ¡p2
¡2(x3 ¡ 2x)dx
¯¯+ ¯¯
Z 0
¡p2(x3 ¡ 2x)dx
¯¯
+
¯¯Z
p2
0
(x3 ¡ 2x)dx¯¯+ ¯¯
Z 4
p2
(x3 ¡ 2x)dx¯¯
=
¯¯μx44¡ x2
¶ ¯¯¡p2
¡2
¯¯+ ¯¯
μx4
4¡ x2
¶¯¯0
¡p2
¯¯
+
¯¯μx4
4¡ x2
¶¯¯p2
0
¯¯+ ¯¯
μx4
4¡ x2
¶¯¯4
p2
¯¯
= j(1¡ 2)¡ (4¡ 4)j+ j0¡ (1¡ 2)j+ j(1¡ 2)¡ 0 + (64¡ 16)¡ 1¡ 2j= j¡1j+ j1j+ j¡1j+ j49j= 1 + 1 + 1 + 49
= 52:
37. f(x) = ex ¡ 1; [¡1; 2]
Solveex ¡ 1 = 0:
ex = 1
x ln e = ln 1
x = 0
The graph crosses the x-axis at 0 in the given in-terval [¡1; 2]:The total area is¯
¯Z 0
¡1(ex ¡ 1)dx
¯¯+
Z 2
0
(ex ¡ 1)dx
=¯(ex ¡ x)
0
¡1+ (ex ¡ x)
¯20
= j(1¡ 0)¡ (e¡1 + 1)j+ (e2 ¡ 2)¡ (1¡ 0)
=¯1¡ e¡1 ¡ 1¯+ e2 ¡ 2¡ 1
=1
e+ e2 ¡ 3
¼ 4:757:38. f(x) = 1¡ e¡x; [¡1; 2]
The graph crosses the x-axis at
0 = 1¡ e¡xe¡x = 1
¡x ln e = ln 1¡x = 0x = 0:
Section 7.4 The Fundamental Theorem of Calculus 487
The area of the region is
¯¯Z 0
¡1(1¡ e¡x)dx
¯¯+
Z 2
0
(1¡ e¡x)dx
=¯(x+ e¡x )
0
¡1+¯(x+ e¡x )
2
0
=¯(1)¡ (¡1 + e1)¯+ (2 + e¡2)¡ (e0)
= j2¡ ej+ 2+ e¡2 ¡ 1= j¡0:718j+ 1+ e¡2= 0:718 + 1:135
= 1:854:
39. f(x) =1
x¡ 1e; [1; e2]
The graph crosses the x-axis at
0 =1
x¡ 1e
1
x=1
ex = e:
This location is in the interval. The area of theregion is
Z e
1
μ1
x¡ 1e
¶dx+
¯¯Z e2
e
μ1
x¡ 1e
¶dx
¯¯
=
¯¯ln jxj ¡ x
e
¯e1+¯³ln jxj ¡ x
e
´ ¯e2e
¯¯
= 0¡μ¡1e
¶+ j(2¡ e)¡ 0j
=1
e+ j2¡ ej
= e¡ 2 + 1e:
40. f(x) = 1¡ 1
x; [e¡1; e]
The graph crosses the x-axis at
0 = 1¡ 1
x1
x= 1
x = 1:
This location is in the interval. The area of theregion is¯¯Z 1
e¡1
μ1¡ 1
x
¶dx
¯¯+
Z e
1
μ1¡ 1
x
¶dx
=¯(x¡ ln jxj)j1e¡1
¯+ (x¡ ln jxj)je1
=¯(1¡ 0)¡ [e¡1 ¡ (¡1)]¯+ (e¡ 1)¡ (1¡ 0)
=
¯¯1¡
μ1
e+ 1
¶¯¯+ (e¡ 1)¡ 1
= e¡ 2 + 1e:
41. y = 4¡ x2; [0; 3]From the graph, we see that the total area isZ 2
0
(4¡ x2) dx+¯¯Z 3
2
(4¡ x2)dx¯¯
=
μ4x¡ x
3
3
¶¯¯2
0
+
¯¯μ4x¡ x3
3
¶¯¯3
2
¯¯
=
·μ8¡ 8
3
¶¡ 0¸
+
¯¯·(12¡ 9)¡
μ8¡ 8
3
¶¸¯¯
=16
3+
¯¯3¡ 163
¯¯
=16
3+7
3
=23
3
488 Chapter 7 INTEGRATION
42. f(x) = x2 ¡ 2x; [¡1; 2]
From the graph, we see that the total area is
Z 0
¡1(x2 ¡ 2x)dx+
¯¯Z 2
0
(x2 ¡ 2x)dx¯¯
=
μx3
3¡ x2
¶¯¯0
¡1+
¯¯ μx3
3¡ x2
¶¯¯2
0
¯¯
= ¡μ¡13¡ 1¶+
¯¯83 ¡ 4
¯¯
=4
3+
¯¯¡43
¯¯ = 4
3+4
3=8
3:
43. y = ex ¡ e; [0; 2]
From the graph, we see that the total area is¯¯Z 1
0
(ex ¡ e)dx¯¯+
Z 2
1
(ex ¡ e)dx
=¯(ex ¡ xe)
¯10
¯+ (ex ¡ xe)
¯2
1
=¯(e1 ¡ e)¡ (e0 + 0)¯+ (e2 ¡ 2e)¡ (e1 ¡ e)= j¡1j+ e2 ¡ 2e= 1 + e2 ¡ 2e¼ 2:952:
44. y =lnx
x;·1
e; e
¸
From the graph, we can see that the total area is¯¯Z 1
1e
μlnx
x
¶dx
¯¯+ Z e
1
μlnx
x
¶dx
=
¯¯ (lnx)2
2
¯¯1
1e
¯¯+ (lnx)2
2
¯¯e
1
=
¯¯0¡ 12
¯¯+ 12 ¡ 0
=1
2+1
2
= 1
45.Z c
a
f(x)dx =
Z b
a
f(x)dx+
Z c
b
f(x)dx
46. The equation for Exercise 45 isZ c
a
f(x)dx =
Z b
a
f(x)dx+
Z c
b
f(x)dx:
(a) If b is replaced by d; we getZ c
a
f(x)dx =
Z d
a
f(x)dx+
Z c
d
f(x)dx:
This is a correct statement.
(b) If b is replaced by g; we getZ c
a
f(x)dx =
Z g
a
f(x)dx+
Z c
g
f(x)dx:
This is a correct statement.
47.Z 16
0
f(x)dx =
Z 2
0
f(x)dx+
Z 5
2
f(x)dx
+
Z 8
5
f(x)dx+
Z 16
8
f(x)dx
=1
2¢ 2(1 + 3) + ¼(3
2)
4¡ ¼(3
2)
4¡ 12(3)(8)
= 4 +9
4¼ ¡ 9
4¼ ¡ 12
= ¡8
48. Prove:Z b
a
k f(x)dx = k
Z b
a
f(x)dx:
Assume F (x) is an antiderivative of f(x):Then kF (x) is an antiderivative of kf(x):Z b
a
k f(x)dx = kF (x)¯ba
= kF (b)¡ kF (a)= k[F (b)¡ F (a)]
= k
Z b
a
f(x)dx
49. Prove:Z b
a
f(x)dx =
Z c
a
f(x)dx+
Z b
c
f(x)dx:
Let F (x) be an antiderivative of f(x):Z c
a
f(x)dx+
Z b
c
f(x)dx
= F (x)¯ca+ F (x)
¯bc
= [F (c)¡ F (a)] + [F (b)¡ F (c)]= F (c)¡ F (a) + F (b)¡ F (c)= F (b)¡ F (a)
=
Z b
a
f(x)dx
Section 7.4 The Fundamental Theorem of Calculus 489
50. Prove:Z b
a
f(x)dx = ¡Z a
b
f(x)dx:
Assume F (x) is an antiderivative of f(x):Z b
a
f(x)dx = [F (x)]¯ba
= F (b)¡ F (a)= (¡1) [F (a)¡ F (b)]
= ¡1Z a
b
f(x)dx
= ¡Z a
b
f(x)dx
51.Z 4
¡1f(x)dx
=
Z 0
¡1(2x+ 3)dx
Z 4
0
³¡x4¡ 3´dx
= (x2 + 3x)¯0¡1+
μ¡x
2
8¡ 3x
¶ ¯40
= ¡(1¡ 3) + (¡2¡ 12)= 2¡ 14= ¡12
52.Z 1
0
ex2
dx = 1:46265;
Z 2
0
ex2
dx = 16:45263
(a) Since ex2
is symmetric about the y-axis,Z 1
¡1ex
2
dx = 2
Z 1
0
ex2
dx
= 2(1:46265)
= 2:92530:
(b)Z 2
1
ex2
dx =
Z 2
0
ex2
dx¡Z 1
0
ex2
dx
= 16:45263¡ 1:46265= 14:98998
53. (a) g(t) = t4 and c = 1, use substitution.
f(x) =
Z x
c
g(t)dt
=
Z x
1
t4dt
=t5
5
¯¯x
1
=x5
5¡ (1)
5
5
=x5
5¡ 15
(b) f 0(x) =d
dx(f(x))
=d
dx
μx5
5¡ 15
¶
=1
5¢ ddx(x5)¡ d
dx
μ1
5
¶
=1
5¢ 5x4 ¡ 0
= x4
Since g(t) = t4, then g(x) = x4 and we see f 0(x) =g(x):
(c) Let g(t) = et2
and c = 0, then f(x) =Z x
0
et2
dt.
f(1) =
Z 1
0
et2
dt and f(1:01) =Z 1:01
0
et2
dt.
Use the fnInt command in the Math menu of your
calculator to …ndZ 1
0
ex2
dx andZ 1:01
0
ex2
dx. The
resulting screens are:
f(1) ¼ 1:46265f(1:01) ¼ 1:49011
Usef(1 + h)¡ f(1)
hto approximate f 0(1) with
h = 0:01
f(1 + h)¡ f(1)h
=f(1:01)¡ f(1)
0:01
¼ 1:49011¡ 1:462650:01
= 2:746
So f 0(1) ¼ 2:746, and g(1) = e12 = e ¼ 2:718:
490 Chapter 7 INTEGRATION
54. (a)Z 5
¡5x(x2 + 3)7dx
Let u = x2 + 3; so that du = 2xdx:
When x = 5; u = 52 + 3 = 28:When x = ¡5; u = (¡5)2 + 3 = 28:
Z 5
¡5x(x2 + 3)7dx =
1
2
Z 28
28
u7du
=1
2¢ u
8
8
¯¯28
28
=1
2
μ288
8¡ 28
8
8
¶
= 0
55. P 0(t) = (3t+ 3)(t2 + 2t+ 2)1=3
(a)Z 3
0
3(t+ 1)(t2 + 2t+ 2)1=3 dt
Let u = t2 + 2t+ 2; so that
du = (2t+ 2)dt and1
2du = (t+ 1)dt:
When t = 0; u = 02 + 2 ¢ 0 + 2 = 2:When t = 3; u = 32 + 2 ¢ 3 + 2 = 17:
3
2
Z 17
2
u1=3 du =3
2¢ u
4=3
43
¯172
=9
8u4=3
¯172
=9
8(17)4=3 ¡ 9
8(2)4=3
¼ 46:341
Total pro…ts for the …rst 3 yr were
9000
8(174=3 ¡ 24=3) ¼ $46; 341:
(b)Z 4
3
3(t+ 1)(t2 + 2t+ 2)1=3 dt
Let u = t2 + 2t+ 2; so that
du = (2t+ 2)dt = 2(t+ 1)dt and
3
2du = 3(t+ 1)dt:
When t = 3; u = 32 + 2 ¢ 3 + 2 = 17:
When t = 4; u = 42 + 2 ¢ 4 + 2 = 26:3
2
Z 26
17
u1=3 du =9
8u4=3
¯2617
=9
8(26)4=3 ¡ 9
8(17)4=3
¼ 37:477Pro…t in the fourth year was
9000
8(264=3 ¡ 174=3) ¼ $37; 477:
(c) limt!1 P 0(t)
= limt!1 (3t+ 3)(t2 + 2t+ 2)1=3
=1The annual pro…t is slowly increasing without bound.
56. H 0(x) = 20 ¡ 2x is the rate of change of thenumber of hours it takes a worker to produce thexth item.
(a) The total number of hours required to producethe …rst 5 items isZ 5
0
(20¡ 2x)dx = (20x¡ x2)¯50
= 100¡ 25 = 75:
It would take 75 hr to produce 5 items.
(b) The total number of hours required to producethe …rst 10 items isZ 10
0
(20¡ 2x)dx = (20x¡ x2)¯100
= (200¡ 100)¡ (0) = 100:
It would take 100 hr to produce the …rst 10 items.
57. P 0(t) = 140t5=2
Z 4
0
140t5=2 dt = 140 ¢ t7=2
72
¯40
= 40t7=2¯40
= 5120
Since 5120 is above the total level of acceptablepollution (4850), the factory cannot operate for 4years without killing all the …sh in the lake.
Section 7.4 The Fundamental Theorem of Calculus 491
58. The tanker is leaking oil at a rate in barrels perhour of
L0(t) =80 ln (t+ 1)
t+ 1:
(a)Z 24
0
80 ln (t+ 1)
t+ 1dt
Let u = ln (t+ 1); so that du = 1t+1 dt:
When t = 24; u = ln 25:When t = 0; u = ln 1 = 0:
80
Z ln 25
0
udu = 80u2
2
¯ln 250
= 40u2¯ln 250
= 40(ln 25)2 ¡ 40(0)2¼ 414
About 414 barrels will leak on the …rst day.
(b)Z 48
24
80 ln (t+ 1)
t+ 1dt
Let u = ln (t+1), so that the limits of integrationwith respect to u are ln 25 and ln 49:
80
Z ln 49
ln 25
udu = 40u2¯ln 49ln 25
= 40(ln 49)2 ¡ 40(ln 25)2¼ 191
About 191 barrels will leak on the second day.
(c) limt!1 L
0(t) = limt!1
80 ln (t+ 1)
t+ 1= 0
The number of barrels of oil leaking per day isdecreasing to 0.
59. Growth rate is 0:6 + 4(t+1)3 ft/yr.
(a) Total growth in the second year isZ 2
1
·0:6 +
4
(t+ 1)3
¸dt
=
·0:6t+
4
¡2(t+ 1)2¸¯¯2
1
=
·0:6(2)¡ 2
(2 + 1)2
¸
¡·0:6(1)¡ 2
(1 + 1)2
¸
=44
45¡ 1
10
¼ 0:8778 ft.
(b) Total growth in the third year is
Z 3
2
·0:6 +
4
(t+ 1)3
¸dt
=
·0:6t+
4
¡2(t+ 1)2¸¯¯3
2
=
·0:6(3)¡ 2
(3 + 1)2
¸
¡·0:6(2)¡ 2
(2 + 1)2
¸
=67
40¡ 4445
¼ 0:6972 ft.
60. Total growth after 3.5 days is
Z 3:5
0
R0(x)dx =Z 3:5
0
150e0:2xdx
= 150 ¢ e0:2x
0:2
¯¯3:5
0
= 750e 0:2x¯3:50
= 750e0:7 ¡ 750e0¼ 760:3:
61. R0(t) =5
t+ 1+
2pt+ 1
(a) Total reaction from t = 1 to t = 12 is
Z 12
1
μ5
t+ 1+
2pt+ 1
¶dt
=£5 ln(t+ 1) + 4
pt+ 1
¤¯121
= (5 ln 13 + 4p13)¡ (5 ln 2 + 4p2)
¼ 18:12:
(b) Total reaction from t = 12 to t = 24 is
Z 24
12
μ5
t+ 1+
2pt+ 1
¶dt
=£5 ln(t+ 1) + 4
pt+ 1
¤¯2412
= (5 ln 25 + 4p25)¡ (5 ln 13 + 4p13)
¼ 8:847:
492 Chapter 7 INTEGRATION
62. F (T ) =Z T
0
f(x)dx
=
Z T
0
kbx dx
=
Z T
0
ke(ln b)x dx
= k
Z T
0
e(ln b)x dx
=k
ln b¢ e(ln b)x
¯T0
=k
ln b
£e(ln b)T ¡ 1¤
=k
ln b
£bT ¡ 1¤
63. (b)Z 60
0
n(x)dx
(c)Z 10
5
p5x+ 1dx
Let u = 5x+ 1: Then du = 5dx:When x = 5; u = 26; when x = 10; u = 51:
1
5
Z 51
26
u1=2 du
=1
5¢ u
3=2
32
¯5126
=2
15u3=2
¯5126
=2
15
¡513=2 ¡ 263=2¢
¼ 30.89 million
64. w0(t) = (3t+ 2)1=3
w(t) =
Z 3
0
(3t+ 2)1=3dt =1
3¢ (3t+ 2)
4=3
43
¯¯3
0
=(3t+ 2)4=3
4
¯¯3
0
=1
4(114=3 ¡ 24=3)
¼ 5:486 mg
65. v = k(R2 ¡ r2)
(a) Q(R) =Z R
0
2¼vr dr
=
Z R
0
2¼k(R2 ¡ r2)r dr
= 2¼k
Z R
0
(R2r ¡ r2)dr
= 2¼k
μR2r2
2¡ r
4
4
¶ ¯R0
= 2¼k
μR4
2¡ R
4
4
¶
= 2¼k
μR4
4
¶
=¼kR4
2
(b) Q(0:4) =¼k(0:4)4
2
= 0:04k mm/min
66.Z 9
3
(0:1762x2 ¡ 3:986x+ 22:68)dx
=
μ0:1762
3x3 ¡ 3:986
2x2 + 22:68x
¶¯¯9
3
= 85:5036¡ 51:6888= 33:8148
The total increase in the length of a ram’s hornduring the period is about 33.8 cm.
67. E(t) = 753t¡0:1321
(a) Since t is the age of the beagle in years,to convert the formula to days, let T = 365t;or t = T
365 :
E(T ) = 753
μT
365
¶¡0:1321¼ 1642T¡0:1321
Now, replace T with t:
E(t) = 1642t¡0:1321
Section 7.4 The Fundamental Theorem of Calculus 493
(b) The beagle’s age in days after one year is 365days and after 3 years she is 1095 days old.Z 1095
365
1642t¡0:1321dt
= 16421
0:8679t0:8679
¯¯1095
365
¼ 1892(1; 0950:8679 ¡ 3650:8679)¼ 505,155
The beagle’s total energy requirements are about505,000 kJ/W0:67:
68.Z 100
0
0:85e0:0133xdx
Let u = 0:0133x; so that du = 0:0133dx; ordx = 1
0:0133du
When x = 100; u = 1:33:When x = 0; u = 0:
Z 1:33
0
0:85euμ
1
0:0133
¶du =
0:85
0:0133eu¯¯1:33
0
=0:85
0:0133(e1:33 ¡ e0)
¼ 177:736
The total mass of the column is about 178 g.
69. (a) f(x) = 40:1 + 2:03x¡ 0:741x2Z 9
0
(40:1 + 2:03x¡ 0:741x2)dx
=
μ40:1x+
2:03
2x2 ¡ 0:741
3x3¶ ¯9
0
= (40:1x+ 1:015x2 ¡ 0:247x3)¯90
¼ 263This integral shows that the total population aged0 to 90 was about 263 million.
(b)Z 5:5
3:5
(40:1 + 2:03x¡ 0:741x2)dx
= (40:1x+ 1:015x2 ¡ 0:247x3¯5:53:5
¼ 210:1591¡ 142:1936= 67:9655
The number of baby boomers is about 68 million.
70.Z 5
2:5
(0:058x3 ¡ 1:08x2 + 4:81x+ 6:26)dx
=
μ0:058
4x4 ¡ 1:08
3x3 +
4:81
2x2 + 6:26x
¶¯¯5
2:5
= (0:0145x4 ¡ 0:36x3 + 2:405x2 + 6:26x)¯52:5
¼ 55:4875¡ 25:6227= 29:8648
In 2000, approximately 30% of the population hadan income between $25,000 and $50,000.
71. c0(t) = kert
(a) c0(t) = 1:2e0:04t
(b) The amount of oil that the company will sell in
the next ten years is given by the integralZ 10
0
1:2e0:04tdt:
(c)Z 10
0
1:2e0:04tdx =1:2e0:04t
0:04
¯100
= 30e0:04t¯100
= 30e0:4 ¡ 30¼ 14:75
This represents about 14:75 billion barrels of oil.
(d)Z T
0
1:2e0:04t dt = 30e0:04t¯T0
= 30e0:04T ¡ 30Solve
20 = 30e0:04T ¡ 30:50 = 30e0:04T
5
3= e0:04T
ln5
3= 0:04T ln e
T =ln 5
3
0:04
¼ 12:8
The oil will last about 12.8 years.
(e)Z T
0
1:2e0:02t dt = 60e0:02t¯T0
= 60e0:02T ¡ 60
494 Chapter 7 INTEGRATION
Solve
20 = 60e0:02T ¡ 60:80 = 60e0:02T
4
3= e0:02T
ln4
3= 0:02T ln e
T =ln 4
3
0:02¼ 14:4
The oil will last about 14.4 years.
72. c0(t) = 1:2e0:04t
c(T ) =
Z T
0
1:2e0:04t
=1:2
0:04e0:04t
¯T0
= 30(e0:04T ¡ e0)= 30
¡e0:04T ¡ 1¢
In 5 yr,
c(5) = 30(e0:04(5) ¡ 1)= 30(e0:2 ¡ 1)¼ 6:64 billion barrels.
7.5 The Area Between Two Curves
1. x = ¡2; x = 1; y = 2x2 + 5; y = 0
Z 1
¡2[(2x2 + 5)¡ 0] =
μ2x3
3+ 5x
¶¯¯1
¡2
=
μ2
3+ 5
¶¡μ¡163¡ 10
¶
= 21
2. x = 1; x = 2; y = 3x3 + 2; y = 0
Z 2
1
[(3x3 + 2)¡ 0]dx =μ3x4
4+ 2x
¶ ¯21
= (12 + 4)¡μ3
4+ 2
¶
=53
4
3. x = ¡3; x = 1; y = x3 + 1; y = 0
To …nd the points of intersection of the graphs,substitute for y:
x3 + 1 = 0
x3 = ¡1x = ¡1
The region is composed of two separate regionsbecause y = x3 + 1 intersects y = 0 at x = ¡1:Let f(x) = x3 + 1; g(x) = 0:In the interval [¡3;¡1]; g(x) ¸ f(x):In the interval [¡1; 1]; f(x) ¸ g(x):
Section 7.5 The Area Between Two Curves 495
Z ¡1
¡3[0¡ (x3 + 1)]dx+
Z 1
¡1[(x3 + 1)¡ 0]dx
=
μ¡x44¡ x
¶¯¯¡1
¡3+
μx4
4+ x
¶¯¯1
¡1
=
μ¡14+ 1
¶¡μ¡814+ 3
¶+
μ1
4+ 1
¶¡μ1
4¡ 1¶
= 20
4. x = ¡3; x = 0; y = 1¡ x2; y = 0
To …nd the points of intersection of the graphs in[¡3; 0]; substitute for y:
1¡ x2 = 0x2 = 1
x = ¡1 or x = 1
The region is composed of two separate regionsbecause y = 1¡ x2 intersects y = 0 at x = ¡1:Let f(x) = 1¡ x2; g(x) = 0:In the interval [¡3;¡1]; g(x) ¸ f(x):In the interval [¡1; 0]; f(x) ¸ g(x):Z ¡1
¡3[0¡ (1¡ x2)]dx+
Z 0
¡1[(1¡ x2)¡ 0]dx
=
μ¡x+ x
3
3
¶¯¯¡1
¡3+
μx¡ x
3
3
¶¯¯0
¡1
=
μ1¡ 1
3
¶¡ (3¡ 9) + 0¡
μ¡1 + 1
3
¶
=22
3
5. x = ¡2; x = 1; y = 2x; y = x2 ¡ 3
Find the points of intersection of the graphs ofy = 2x and y = x2 ¡ 3 by substituting for y:
2x = x2 ¡ 30 = x2 ¡ 2x¡ 30 = (x¡ 3)(x+ 1)
The only intersection in [¡2; 1] is at x = ¡1:In the interval [¡2;¡1]; (x2 ¡ 3) ¸ 2x:In the interval [¡1; 1]; 2x ¸ (x2 ¡ 3):
Z ¡1
¡2[(x2 ¡ 3)¡ (2x)]dx+
Z 1
¡1[(2x)¡ (x2 ¡ 3)]dx
=
Z ¡1
¡2(x2 ¡ 3¡ 2x)dx
+
Z 1
¡1(2x¡ x2 + 3)dx
=
μx3
3¡ 3x¡ x2
¶ ¯¡1¡2
+
μx2 ¡ x
3
3+ 3x
¶ ¯1¡1
= ¡13+ 3¡ 1¡
μ¡83+ 6¡ 4
¶+ 1¡ 1
3+ 3
¡μ1 +
1
3¡ 3¶
=5
3+ 6 =
23
3
496 Chapter 7 INTEGRATION
6. x = 0; x = 6; y = 5x; y = 3x+ 10
To …nd the intersection of y = 5x and y = 3x+10;substitute for y:
5x = 3x+ 10
2x = 10
x = 5
If x = 5; y = 5(5) = 25:The region is composed of two separate regionsbecause y = 5x and y = 3x+10 intersect at x = 5(that is, (5; 25)):Let f(x) = 3x+ 10; g(x) = 5x:
In the interval [0; 5]; f(x) ¸ g(x):In the interval [5; 6]; g(x) ¸ f(x):Z 5
0
(3x+ 10¡ 5x)dx+Z 6
5
[5x¡ (3x+ 10)]dx
=
Z 5
0
(¡2x+ 10)dx+Z 6
5
(2x¡ 10x)¯65
=
μ¡2x22
+ 10x
¶ ¯50+
μ2x2
2¡ 10x
¶ ¯65
= (¡x2 + 10x)¯50+ (x2 ¡ 10x)
¯65
= ¡25 + 50 + (36¡ 60)¡ (25¡ 50)= 26
7. y = x2 ¡ 30y = 10¡ 3x
Find the points of intersection.
x2 ¡ 30 = 10¡ 3xx2 + 3x¡ 40 = 0(x+ 8)(x¡ 5) = 0x = ¡8 or x = 5
Let f(x) = 10¡ 3x and g(x) = x2 ¡ 30:
The area between the curves is given by
Z 5
¡8[f(x)¡ g(x)]dx
=
Z 5
¡8[(10¡ 3x)¡ (x2 ¡ 30)]dx
=
Z 5
¡8(¡x2 ¡ 3x+ 40)dx
=
μ¡x33¡ 3x
2
2+ 40x
¶ ¯5¡8
=¡533¡ 3(5)
2
2+ 40(5)
¡·¡(¡8)3
3¡ 3(¡8)
2
2+ 40(¡8)
¸
=¡1253
¡ 752+ 200¡ 512
3+192
2+ 320
¼ 366:1667:
8. y = x2 ¡ 18; y = x¡ 6
Find the intersection points.
x2 ¡ 18 = x¡ 6x2 ¡ x¡ 12 = 0
(x¡ 4)(x+ 3) = 0
The curves intersect at x = ¡3 and x = 4:
Section 7.5 The Area Between Two Curves 497
Z 4
¡3[(x¡ 6)¡ (x2 ¡ 18)]dx
=
Z 4
¡3(x¡ 6¡ x2 + 18)dx
=
Z 4
¡3(¡x2 + x+ 12)dx
=
μ¡x33+x2
2+ 12x
¶ ¯4¡3
=
μ¡643+ 8 + 48
¶¡μ9 +
9
2¡ 36
¶
=
μ¡643+ 56
¶¡μ¡27 + 9
2
¶
=¡643+ 83¡ 9
2
=343
6
¼ 57:167
9. y = x2; y = 2x
Find the points of intersection.
x2 = 2x
x2 ¡ 2x = 0x(x¡ 2) = 0x = 0 or x = 2
Let f(x) = 2x and g(x) = x2:The area between the curves is given byZ 2
0
[f(x)¡ g(x)]dx =Z 2
0
(2x¡ x2)dx
=
μ2x2
2¡ x
3
3
¶ ¯20
= 4¡ 83=4
3:
10. y = x2; y = x3
Find the intersection points.
x2 = x3
x2 ¡ x3 = 0x2(1¡ x) = 0
The curves intersect at x = 0 and x = 1:In the interval [0; 1]; x2 > x3:
Z 1
0
(x2 ¡ x3)dx =μx3
3¡ x
4
4
¶ ¯10
=1
3¡ 14
=1
12
11. x = 1; x = 6; y =1
x; y =
1
2
To …nd the points of intersection of the graphs,substitute for y:
1
x=1
2
x = 2
The region is composed of two separate regionsbecause y = 1
x intersects y =12 at x = 2:
Let f(x) = 1x ; g(x) =
12 :
In the interval [1; 2]; f(x) ¸ g(x):In the interval [2; 6]; g(x) ¸ f(x):
498 Chapter 7 INTEGRATION
Z 2
1
μ1
x¡ 12
¶dx+
Z 6
2
μ1
2¡ 1
x
¶dx
=³ln jxj ¡ x
2
´¯21+³x2¡ ln jxj
´¯62
= (ln 2¡ 1)¡μ0¡ 1
2
¶+ (3¡ ln 6)¡ (1¡ ln 2)
= 2 ln 2¡ ln 6 + 32
¼ 1:095
12. x = 0; x = 4; y =1
x+ 1; y =
x¡ 12
Find the intersection points.1
x+ 1=x¡ 12
x2 ¡ 1 = 2x2 ¡ 3 = 0
In the interval [0; 4]; the only intersection point isat x =
p3:Z p
3
0
μ1
x+ 1¡ x¡ 1
2
¶dx+
Z 4
p3
μx¡ 12
¡ 1
x+ 1
¶dx
=
μln jx+ 1j ¡ x
2
4+x
2
¶ ¯p30
+
μx2
4¡ x2¡ ln jx+ 1j
¶ ¯4p3
= ln (p3 + 1)¡ 3
4+
p3
2
+
((4¡ 2¡ ln 5)¡
"3
4¡p3
2¡ ln (p3 + 1)
#)
= ln (p3 + 1)¡ 3
4+
p3
2+ 2
¡ ln 5¡ 34+
p3
2+ ln (
p3 + 1)
= ln (p3 + 1) + ln (
p3 + 1)¡ ln 5 + 1
2+p3
= ln(p3 + 1)2
5+1
2+p3
¼ 2:633
13. x = ¡1; x = 1; y = ex; y = 3¡ ex
To …nd the point of intersection, set ex = 3 ¡ exand solve for x:
ex = 3¡ ex2ex = 3
ex =3
2
ln ex = ln3
2
x ln e = ln3
2
x = ln3
2
The area of the region between the curves fromx = ¡1 to x = 1 isZ ln 3=2
¡1[(3¡ ex)¡ ex]dx+
Z 1
ln 3=2
[ex¡ (3¡ ex)]dx
=
Z ln 3=2
¡1(3¡ 2ex)dx+
Z 1
ln 3=2
(2ex ¡ 3)dx
= (3x¡ 2ex)¯ln 3=2¡1
+ (2ex ¡ 3x)¯1ln 3=2
=
·μ3 ln
3
2¡ 2eln 3=2
¶¡ [3(¡1)¡ 2e¡1]
¸
+
·2e1 ¡ 3(1)¡
μ2eln 3=2 ¡ 3 ln 3
2
¶¸
=
·μ3 ln
3
2¡ 3¶¡μ¡3¡ 2
e
¶¸
+
·2e¡ 3¡
μ3¡ 3 ln 3
2
¶¸
= 6 ln3
2+2
e+ 2e¡ 6 ¼ 2:605:
Section 7.5 The Area Between Two Curves 499
14. x = ¡1; x = 2; y = e¡x; y = ex
The total area between the curves from x = ¡1to x = 2 isZ 0
¡1(e¡x ¡ ex)dx+
Z 2
0
(ex ¡ e¡x)dx
= (¡e¡x ¡ ex)¯0¡1+ (ex + e¡x)
¯20
= [(¡1¡ 1)¡ (¡e¡ e¡1)]+ [(e2 + e¡2)¡ (1 + 1)]= e2 + e¡2 + e+ e¡1 ¡ 4¼ 6:611:
15. x = ¡1; x = 2; y = 2e2x; y = e2x + 1
To …nd the points of intersection of the graphs,substitute for y:
2e2x = e2x + 1
e2x = 1
2x = 0
x = 0
The region is composed of two separate regionsbecause y = 2e2x intersects y = e2x + 1 at x = 0:Let f(x) = 2e2x; g(x) = e2x + 1:In the interval [¡1; 0]; g(x) ¸ f(x):
In the interval [0; 2]; f(x) ¸ g(x):Z 0
¡1(e2x + 1¡ 2e2x)dx+
Z 2
0
[2e2x ¡ (e2x + 1)]dx
=
μ¡e
2x
2+ x
¶¯¯0
¡1+
μe2x
2¡ x
¶¯¯2
0
=
μ¡12+ 0
¶¡μ¡e
¡2
2¡ 1¶+
μe4
2¡ 2¶¡μ1
2¡ 0¶
=e¡2 + e4
2¡ 2
¼ 25:37
16. x = 2; x = 4; y =x¡ 14
; y =1
x¡ 1
To …nd the points of intersection of the graphs in[2; 4]; substitute for y:
x¡ 14
=1
x¡ 1(x¡ 1)(x¡ 1) = 4x2 ¡ 2x+ 1 = 4x2 ¡ 2x¡ 3 = 0
x = ¡1 or x = 3The region is composed of two separate regionsbecause y = x¡1
4 intersects y = 1x¡1 at x = 3:
Let f(x) = x¡14 ; g(x) =
1x¡1 .
In the interval [2; 3]; g(x) ¸ f(x):In the interval [3; 4]; f(x) ¸ g(x):Z 3
2
μ1
x¡ 1 ¡x¡ 14
¶dx+
Z 4
3
μx¡ 14
¡ 1
x¡ 1¶dx
=
·ln jx¡1j¡ x(x¡2)
8
¸¯¯3
2
+
·x(x¡2)8
¡ln jx¡1j¸¯¯4
3
=
μln 2¡ 3
8
¶¡ 0 + (1¡ ln 3)¡
μ3
8¡ ln 2
¶
= 2 ln2¡ ln 3 + 14
¼ 0:5377
500 Chapter 7 INTEGRATION
17. y = x3 ¡ x2 + x+ 1; y = 2x2 ¡ x+ 1Find the points of intersection.
x3 ¡ x2 + x+ 1 = 2x2 ¡ x+ 1x3 ¡ 3x2 + 2x = 0x(x2 ¡ 3x+ 2) = 0x(x¡ 2)(x¡ 1) = 0
The points of intersection are at x = 0; x = 1;
and x = 2:
Area between the curves isZ 1
0
[(x3 ¡ x2 + x+ 1)¡ (2x2 ¡ x+ 1)]dx
+
Z 2
1
[(2x2 ¡ x+ 1)¡ (x3 ¡ x2 + x+ 1)]dx
=
Z 1
0
(x3¡3x2+2x)dx+Z 1
0
(¡x3+3x2¡2x)dx
=
μx4
4¡ x3 + x2
¶¯¯1
0
+
μ¡x44+ x3 ¡ x2
¶¯¯2
1
=
·μ1
4¡ 1 + 1
¶¡ (0)
¸
+
·(¡4 + 8¡ 4)¡
μ¡14+ 1¡ 1
¶¸
=1
4+1
4
=1
2:
18. y = 2x3 + x2 + x+ 5;y = x3 + x2 + 2x+ 5
To …nd the points of intersection, substitute for y:
2x3 + x2 + x+ 5 = x3 + x2 + 2x+ 5
x3 ¡ x = 0x(x2 ¡ 1) = 0
The points of intersection are at x = 0; x = ¡1;and x = 1:The area of the region between the curves is
Z 0
¡1[(2x3 + x2 + x+ 5)¡ (x3 + x2 + 2x+ 5)]dx
+
Z 1
0
[(x3+x2+2x+5)¡ (2x3+x2+x+5)]dx
=
Z 0
¡1(x3 ¡ x)dx+
Z 1
0
(¡x3 + x)dx
=
μx4
4¡ x
2
2
¶ ¯0¡1+
μ¡x
4
4+x2
2
¶ ¯10
=
·0¡
μ1
4¡ 12
¶¸+
·μ¡14+1
2
¶¡ 0¸
=1
4+1
4=1
2:
19. y = x4 + ln (x+ 10);y = x3 + ln (x+ 10)
Find the points of intersection.
x4 + ln (x+ 10) = x3 + ln (x+ 10)
x4 ¡ x3 = 0x3(x¡ 1) = 0x = 0 or x = 1
The points of intersection are at x = 0 and x = 1:The area between the curves isZ 1
0
[(x3 + ln(x+ 10))¡ (x4 + ln(x+ 10))]dx
=
Z 1
0
(x3 ¡ x4)dx
=
μx4
4¡ x
5
5
¶¯¯1
0
=
μ1
4¡ 15
¶¡ (0) = 1
20:
Section 7.5 The Area Between Two Curves 501
20. y = x5 ¡ 2 ln (x+ 5);y = x3 ¡ 2 ln (x+ 5)To …nd the points of intersection, substitute for y:
x5 ¡ 2 ln (x+ 5) = x3 ¡ 2 ln (x+ 5)x5 ¡ x3 = 0
x3(x2 ¡ 1) = 0The points of intersection are at x = 0 and x = 1and x = ¡1:In the interval [¡1; 0];
x5 ¡ 2 ln (x+ 5) > x3 ¡ 2 ln (x+ 5):
In the interval [0; 1];
x5 ¡ 2 ln (x+ 5) < x3 ¡ 2 ln (x+ 5):
The area between the curves isZ 0
¡1[(x5 ¡ 2 ln (x+ 5))¡ (x3 ¡ 2 ln (x+ 5))]dx
+
Z 1
0
[(x3 ¡ 2 ln (x+ 5))¡ (x5 ¡ 2 ln (x+ 5))]dx
=
Z 0
¡1(x5 ¡ x3)dx+
Z 1
0
(x3 ¡ x5)dx
=
μx6
6¡ x
4
4
¶ ¯0¡1+
μx4
4¡ x
6
6
¶ ¯10
=
·0¡
μ1
6¡ 14
¶¸+
·μ1
4¡ 16
¶¡ 0¸
=1
12+1
12=1
6:
21. y = x4=3; y = 2x1=3
Find the points of intersection.
x4=3 = 2x1=3
x4=3 ¡ 2x1=3 = 0x1=3(x¡ 2) = 0x = 0 or x = 2
The points of intersection are at x = 0 and x = 2:
The area between the curves isZ 2
0
(2x1=3 ¡ x4=3)dx = 2x4=3
43
¡ x7=3
73
¯¯2
0
=3
2x4=3 ¡ 3
7x7=3
¯¯2
0
=
·3
2(2)4=3 ¡ 3
7(2)7=3
¸¡ 0
=3(24=3)
2¡ 3(2
7=3)
7
¼ 1:62:22. y =
px; y = x
px
To …nd the points of intersection, substitute for y:px = x
px
xpx¡px = 0px(x¡ 1) = 0
The points of intersection are at x = 0 and x = 1:In [0; 1];
px > x
px:
The area between the curves isZ 1
0
(px¡ xpx)dx =
Z 1
0
(x1=2 ¡ x3=2)dx
=
μx3=2
3=2¡ x
5=2
5=2
¶ ¯10
=
μ2
3x3=2 ¡ 2
5x5=2
¶ ¯10
=
·2
3(1)¡ 2
5(1)
¸¡ 0
=4
15:
23. x = 0; x = 3; y = 2e3x; y = e3x + e6
502 Chapter 7 INTEGRATION
To …nd the points of intersection of the graphs,substitute for y:
2e3x = e3x + e6
e3x = e6
3x = 6
x = 2
The region is composed of two separate regionsbecause y = 2e3x intersects y = e3x+ e6 at x = 2:Let f(x) = 2e3x; g(x) = e3x + e6:In the interval [0; 2]; g(x) ¸ f(x):In the interval [2; 3]; f(x) ¸ g(x):Z 2
0
(e3x + e6 ¡ 2e3x)dx+Z 3
2
[2e3x ¡ (e3x + e6)]dx
=
μ¡e
3x
3+ e6x
¶¯¯2
0
+
μe3x
3¡ e6x
¶¯¯3
2
=
μ¡e
6
3+2e6
¶¡μ¡13+0
¶+
μe9
3¡3e6
¶¡μe6
3¡2e6
¶
=e9 + e6 + 1
3
¼ 2836
24. x = 0; x = 3; y = ex; y = e4¡x
To …nd the points of intersection of the graphs,substitute for y:
ex = e4¡x
x = 4¡ x2x = 4
x = 2
The region is composed of two separate regionsbecause y = ex intersects y = e4¡x at x = 2:Let f(x) = ex; g(x) = e4¡x:In the interval [0; 2]; g(x) ¸ f(x):In the interval [2; 3]; f(x) ¸ g(x):
Z 2
0
(e4¡x ¡ ex)dx+Z 3
2
(ex ¡ e4¡x)dx
= (¡e4¡x ¡ ex)¯20+ (ex + e4¡x)
¯32
= (¡e2 ¡ e2)¡ (¡e4 ¡ 1) + (e3 + e)¡ (e2 + e2)= e4 + e3 ¡ 4e2 + e+ 1¼ 48:85
25. Graph y1 = ex and y2 = ¡x2¡ 2x on your graph-ing calculator. Use the intersect command to …ndthe two intersection points. The resulting screensare:
These screens show that ex = ¡x2¡ 2x when x ¼¡1:9241 and x ¼ ¡0:4164:In the interval [¡1:9241;¡0:4164],
ex < ¡x2 ¡ 2x:
The area between the curves is given by
¡0:4164Z¡1:9241
[(¡x2 ¡ 2x)¡ ex]dx:
Use the fnInt command to approximate this de…-nite integral.The resulting screen is:
The last screen shows that the area is approxi-mately 0.6650.
Section 7.5 The Area Between Two Curves 503
26. Graph y1 = lnx and y2 = x3 ¡ 5x2 + 6x¡ 1 onyour graphing calculator. Use the intersectcommand to …nd the two intersection points. Theresulting screens are:
These screens show that lnx = x3 ¡ 5x2 + 6x¡ 1when x ¼ 1:4027 and x ¼ 3:4482.In the interval [1:4027; 3:4482],
lnx > x3 ¡ 5x2 + 6x¡ 1:The area between the curves is given by
3:4482Z1:4027
[lnx¡ (x3 ¡ 5x2 + 6x¡ 1)]dx:
Use the fnInt command to approximate this de…-nite integral. The resulting screen is:
The last screen shows that the area is approxi-mately 3.3829.
27. (a) It is pro…table to use the machine untilS0(x) = C0(x):
150¡ x2 = x2 + 114x
2x2 +11
4x¡ 150 = 0
8x2 + 11x¡ 600 = 0
x =¡11§p121¡ 4(8)(¡600)
16
=¡11§ 139
16
x = 8 or x = ¡9:375
It will be pro…table to use this machine for 8 years.Reject the negative solution.
(b) Since 150¡x2 > x2+ 114 x; in the interval [0; 8];
the net total savings in the …rst year areZ 1
0
·(150¡ x2)¡
μx2 +
11
4x
¶¸dx
=
Z 1
0
μ¡2x2 ¡ 11
4x+ 150
¶dx
=
μ¡2x33
¡ 11x2
8+ 150x
¶¯¯1
0
= ¡23¡ 118+ 150
¼ $148:(c) The net total savings over the entire period ofuse areZ 8
0
·(150¡ x2)¡
μx2 +
11
4x
¶¸dx
=
μ¡2x33
¡ 11x2
8+ 150x
¶¯¯8
0
=¡2(83)3
¡ 11(82)
8+ 150(8)
=¡10243
¡ 7048+ 1200
¼ $771:
28. (a) S0(x) = ¡x2 + 4x+ 8; C 0(x) = 3
25x2
S0(x) = C0(x)
¡x2 + 4x+ 8 = 3
25x2
¡25x2 + 100x+ 200 = 3x2
0 = 28x2 ¡ 100x¡ 2000 = 7x2 ¡ 25x¡ 500 = (7x+ 10)(x¡ 5)
x = ¡107
or x = 5
504 Chapter 7 INTEGRATION
Since time would not be negative, 5 is the onlysolution. It will pay to use the device for 5 yr.
(b) The total savings over 5 yr is given byZ 5
0
(¡x2 + 4x+ 8)dx
=
μ¡x33+ 2x2 + 8x
¶ ¯50
=¡1253
+ 90
= 48:33:
The total cost over 5 yr is given by
Z 5
0
3
25x2 dx =
x3
25
¯50= 5:
Net savings = $48:33 million¡ $5 million= $43:33 million
29. (a) E0(x) = e0:1x and I 0(x) = 98:8¡ e0:1x
To …nd the point of intersection, where pro…t willbe maximized, set the functions equal to each otherand solve for x:
e0:1x = 98:8¡ e0:1x2e0:1x = 98:8
e0:1x = 49:4
0:1x = ln 49:4
x =ln 49:4
0:1
x ¼ 39
The optimum number of days for the job to lastis 39.
(b) The total income for 39 days isZ 39
0
(98:8¡ e0:1x)dx
=
μ98:8x¡ e
0:1x
0:1
¶¯¯39
0
=³98:8x¡ 10e0:1x
¯390
= [98:8(39)¡ 10e3:9]¡ (0¡ 10)= $3369:18:
(c) The total expenditure for 39 days is
Z 39
0
e0:1x dx =e0:1x
0:1
¯390
= 10e0:1x¯390
= 10e3:9 ¡ 10= $484:02:
(d) Pro…t = Income¡ Expense= 3369:18¡ 484:02= $2885:16
30. (a) R0(t) = 104¡ 0:4et=2;C 0(t) = 0:3et=2
It will no longer be pro…table when C0(t) > R0(t):Find t when C 0(t) > R0(t):
0:3et=2 > 104¡ 0:4et=20:7et=2 > 104
et=2 >104
0:7
ln et=2 > ln
μ104
0:7
¶
t > 2 ln
μ104
0:7
¶
t > 10
It will no longer be pro…table to use the processafter 10 yr.
(b) The total net savings is
Z 10
0
[(104¡ 0:4et=2)¡ 0:3et=2]dt
=
Z 10
0
(104¡ 0:7et=2)dt
=
μ104t¡ 0:7e
t=2
1=2
¶ ¯100
= (104t¡ 1:4et=2)¯100
= [(104t¡ 1:4et=2)¡ (0¡ 1:4)]= 1041:4¡ 1:4e5¼ 834:
The net total savings will be $834,000.
Section 7.5 The Area Between Two Curves 505
31. S(q) = q5=2+2q3=2+ 50; q = 16 is the equilibriumquantity.
Producers’ surplus =Z q0
0
[p0¡S(q)]dq; where p0 isthe equilibrium price and q0 is equilibrium supply.
p0 = S(16) = (16)5=2 + 2(16)3=2 + 50
= 1202
Therefore, the producers’ surplus isZ 16
0
[1202¡ (q5=2 + 2q3=2 + 50)]dq
=
Z 16
0
(1152¡ q5=2 ¡ 2q3=2)dq
=
μ1152q ¡ 2
7q7=2 ¡ 4
5q5=2
¶¯¯16
0
= 1152(16)¡ 27(16)7=2 ¡ 4
5(16)5=2
= 18; 432¡ 32; 7687
¡ 40965
= 12; 931:66:
The producers’ surplus is 12,931.66.
32. S(q) = 100+ 3q3=2+ q5=2; equilibrium quantity isq = 9:
Producers’ surplus =Z q0
0
[p0 ¡ S(q)]dq
p0 = S(9) = 424Z 9
0
[424¡ (100 + 3q3=2 + q5=2)]dq
=
Z 9
0
(324¡ 3q3=2 ¡ q5=2)]dq
=
μ324q ¡ 6
5q5=2 ¡ 2
7q7=2
¶ ¯90
=
·μ324(9)¡ 6
5(9)5=2 ¡ 2
7(9)7=2
¶¡ 0¸
= 2916¡ 14585
¡ 43747
= 1999:54
The producers’ surplus is 1999.54.
33. D(q) =200
(3q + 1)2; q = 3 is the equilibrium quantity.
Consumers’ surplus =Z q0
0
jD(q)¡ p0j dq
p0 = D(3) = 2
Therefore, the consumers’ surplus is
Z 3
0
·200
(3q + 1)2¡ 2¸dq =
Z 3
0
200
(3q + 1)2dq¡
Z 3
0
2dq:
Let u = 3q + 1, so that
du = 3dq and1
3du = dq:
Z 3
0
200
(3q + 1)2dq¡
Z 3
0
2dq =1
3
Z 10
1
200
u2du¡
Z 3
0
2dq
=200
3
Z 10
1
u¡2du¡Z 3
0
2dq
=200
3¢ u
¡1
¡1¯¯10
1
¡ 2q¯¯3
0
= ¡2003u
¯¯10
1
¡ 6
= ¡20030
+200
3¡ 6
= 54
34. D(q) =32,000(2q + 8)3
; q = 6 is the equilibrium quantity.
Consumers’ surplus =Z q0
0
jD(q)¡ p0j dq
p0 = D(6) =32,000203
= 4
Therefore, the consumers’ surplus is
Z 6
0
·32,000(2q + 8)3
¡ 4¸dq =
Z 6
0
32,000(2q + 8)3
dq¡Z 6
0
4dq:
Let u = 2q + 8, so that
du = 2dq and1
2du = dq:
506 Chapter 7 INTEGRATION
Z 6
0
32,000(2q + 8)3
dq ¡Z 6
0
4dq =1
2
Z 20
8
32,000u3
du¡Z 6
0
4dq
= 16,000Z 20
8
u¡3du¡Z 6
0
4dq
= 16,000 ¢ u¡2
¡2¯¯20
8
¡ 4q¯¯6
0
= ¡ 8000u2
¯¯20
8
¡ 24
= ¡8000400
+800064
¡ 24
= 81
35. S(q) = q2 + 10qD(q) = 900¡ 20q ¡ q2
(a) The graphs of the supply and demand func-tions are parabolas with vertices at (¡5;¡25) and(¡10; 1900); respectively.
(b) The graphs intersect at the point where they-coordinates are equal.
q2 + 10q = 900¡ 20q ¡ q22q2 + 30q ¡ 900 = 0q2 + 15q ¡ 450 = 0(q + 30)(q ¡ 15) = 0
q = ¡30 or q = 15
Disregard the negative solution.The supply and demand functions are inequilibrium when q = 15:
S(15) = 152 + 10(15) = 375
The point is (15; 375):
(c) Find the consumers’ surplus.Z q0
0
[D(q)¡ p0)]dq
p0 = D(15) = 375
Z 15
0
[(900¡ 20q ¡ q2)¡ 375]dq
=
Z 15
0
(525¡ 20q ¡ q2)dq
=
μ525q ¡ 10q2 ¡ 1
3q3¶¯¯15
0
=
·525(15)¡ 10(15)2 ¡ 1
3(15)3
¸¡ 0
= 4500
The consumer’s surplus is $4500.(d) Find the producers’ surplus.Z q0
0
[p0 ¡ S(q)]dq
p0 = S(15) = 375Z 15
0
[375¡ (q2 + 10q)]dq
=
Z 15
0
(375¡ q2 ¡ 10q)dq
=
μ375q ¡ 1
3q3 ¡ 5q2
¶ ¯150
=
·375(15)¡ 1
3(15)3 ¡ 5(15)2
¸¡ 0
= 3375
The producer’s surplus is $3375.
36. S(q) = (q + 1)2
D(q) =1000
q + 1
(a) The graph of the supply function is a parabolawith vertex at (¡1; 0). The graph of the demandfunction is the graph of a rational function withvertical asymptote of x = ¡1 and horizontal as-ymptote of y = 0:
(b) Find the equilibrium point by setting the twofunctions equal.
(q + 1)2 =1000
q + 1
(q + 1)3 = 1000
q3 + 3q2 + 3q + 1 = 1000
q3 + 3q2 + 3q ¡ 999 = 0(q ¡ 9)(q2 + 12q + 111) = 0
Section 7.5 The Area Between Two Curves 507
Since q2 + 12q + 111 has no real roots, q = 9 isthe only root. At the equilibrium point where thesupply and demand are both 9 items, the price is
S(9) = (9 + 1)2 = 100:
The equilibrium point is (9; 100):
(c) The consumers’ surplus is given byZ 9
0
μ1000
q + 1¡ 100
¶dq = (1000 ln jq + 1j ¡ 100q )
9
0
= 1000 ln(9 + 1)¡ 100(9)¡ 0¼ 1402:59
Here the consumers’ surplus is 1402.59.
(d) The producers’ surplus is given byZ 9
0
[100¡ (q + 1)2]dq =Z 9
0
(99¡ q2 ¡ 2q)dq
= (99q ¡ 13q3 ¡ q2)
¯¯9
0
= 99(9)¡ 13(9)3 ¡ (9)2 ¡ 0
= 567
Here the producers’ surplus is 567.
37. (a) S(q) = q2 + 10q; S(q) = 264 is the price thegovernment set.
264 = q2 + 10q
0 = q2 + 10q ¡ 2640 = (q ¡ 12)(q + 22)q = 12 or q = ¡22
Only 12 is a meaningful solution here. Thus, 12units of oil will be produced.
(b) The consumers’ surplus is given byZ 12
0
(900¡ 20q ¡ q2 ¡ 264)dq
=
Z 12
0
(636¡ 20q ¡ q2)dq
=
μ636q ¡ 10q2 ¡ 1
3q3¶¯¯12
0
= 636(12)¡ 10(12)2 ¡ 13(12)3 ¡ 0
= 5616
Here the consumer’ surplus is $5616. In this case,the consumers’ surplus is 5616 ¡ 4500 = $1116
larger.
(c) The producers’ surplus is given byZ 12
0
[264¡ (q2 + 10q)]dq
=
Z 12
0
(264¡ q2 ¡ 10q)dq
=
μ264q ¡ 1
3q3 ¡ 5q2
¶¯¯12
0
= 264(12)¡ 13(12)3 ¡ 5(12)2 ¡ 0
= 1872
Here the producers’ surplus is $1872. In this case,the producers’ surplus is 3375 ¡ 1872 = $1503
smaller.
(d) For the equilibrium price, the total consumers’and producers’ surplus is
4500 + 3375 = $7875
For the government price, the total consumers’and producers’ surplus is
5616 + 1872 = $7488:
The di¤erence is
7875¡ 7488 = $387:
39. (a) The pollution level in the lake is changing atthe rate f(t) ¡ g(t) at any time t: We …nd theamount of pollution by integrating.Z 12
0
[f(t)¡ g(t)]dt
=
Z 12
0
[10(1¡ e¡0:5t)¡ 0:4t]dt
=
μ10t¡ 10 ¢ 1
¡0:5e¡0:5t ¡ 0:4 ¢ 1
2t2¶¯¯12
0
= (20e¡0:5t + 10t¡ 0:2t2)¯120
= [20e¡0:5(12) + 10(12)¡ 0:2(12)2]¡ [20e¡0:5(0) + 10(0)¡ 0:2(0)2]= (20e¡6 + 91:2)¡ (20)= 20e¡6 + 71:2 ¼ 71:25
After 12 hours, there are about 71.25 gallons.
508 Chapter 7 INTEGRATION
(b) The graphs of the functions intersect at about25.00. So the rate that pollution enters the lakeequals the rate the pollution is removed at about25 hours.
(c)Z 25
0
[f(t)¡ g(t)]dt
= (20e¡0:5t + 10t¡ 0:2t2)¯250
= [20e¡0:5(25) + 10(25)¡ 0:2(25)2]¡ 20= 20e¡12:5 + 105¼ 105
After 25 hours, there are about 105 gallons.
(d) For t > 25; g(t) > f(t); and pollution is beingremoved at the rate g(t) ¡ f(t): So, we want tosolve for c, where
cZ0
[f(t)¡ g(t)]dt = 0:
(Altternatively, we could solve for c in
cZ25
[g(t)¡ f(t)dt = 105:
One way to do this with a graphing calculator isto graph the function
y =
xZ0
[f(t)¡ g(t)]dt
and determine the values of x for which y = 0:The …rst window shows how the function can bede…ned.
A suitable window for the graph is [0; 50] by [0; 110]:
Use the calculator’s features to approximate wherethe graph intersects the x-axis. These are at 0and about 47.91. Therefore, the pollution will beremoved from the lake after about 47.91 hours.
40. (a) The pollution level in the lake is changing atthe rate f(t) ¡ g(t) at any time t: We …nd theamount of pollution by integrating.Z 12
0
[f(t)¡ g(t)]dt
=
Z 12
0
[15(1¡ e¡0:05t)¡ 0:3t]dt
=
μ15t¡ 15 1
¡0:05e¡0:05t ¡ 0:31
2t2¶¯12
0
= (300e¡0:05t + 15t¡ 0:15t2)¯120
= [300e¡0:05(12) + 15(12)¡ 0:15(12)2]¡ [300e¡0:05(0) + 15(0)¡ 0:15(0)2]= (300e¡0:6 + 158:4)¡ (300)= 300e¡0:6 ¡ 141:6¼ 23:04
After 12 hours, there are about 23.04 gallons.
(b) The graphs of the functions intersect at about44.63. So the rate that pollution enters the lakeequals the rate the pollution is removed at about44.63 hours.
(c)Z 44:63
0
[f(t)¡ g(t)]dt
= (300e¡0:05t + 15t¡ 0:15t2)¯44:630
= [300e¡0:05(44:63) + 15(44:63)¡ 0:15(44:63)2]¡ 300= (300e¡2:2315 + 370:674465)¡ 300= 300e¡2:2315 + 70:674465¼ 102:88
After 44.63 hours, there are about 102.88 gallons.
(d) For t > 44:63; g(t) > f(t); and pollution isbeing removed at the rate g(t)¡f(t): So, we wantto solve for c; where
cZ0
[f(t)¡ g(t)]dt = 0
(Alternatively, we could solve for c in
cZ44:63
[g(t)¡ f(t)]dt = 102:88:)
Section 7.5 The Area Between Two Curves 509
One way to do this with a graphing calculator isto graph the function
y =
xZ0
[f(t)¡ g(t)]dt
and determine the values of x for which y = 0:The …rst window shows how the function can bede…ned.
A suitable window for the graph is [0:75] by [0; 110]:
Use the calculator’s features to approximate wherethe graph intersects the x-axis. These are at 0and abaout 73.47. Therefore, the pollution willbe removed from the lake after about 73.47 hours.
41. I(x) = 0:9x2 + 0:1x
(a) I(0:1) = 0:9(0:1)2 + 0:1(0:1)= 0:019
The lower 10% of income producers earn 1.9% oftotal income of the population.
(b) I(0:4) = 0:9(0:4)2 + 0:1(0:4) = 0:184
The lower 40% of income producers earn 18.4% oftotal income of the population.
(c)The graph of I(x) = x is a straight line throughthe points (0; 0) and (1; 1). The graph ofI(x) = 0:9x2 + 0:1x is a parabola with vertex¡¡ 1
18 ;¡ 1360
¢. Restrict the domain to 0 · x · 1:
(d) To …nd the points of intersection, solve
x = 0:9x2 + 0:1x:
0:9x2 ¡ 0:9x = 00:9x(x¡ 1) = 0x = 0 or x = 1
The area between the curves is given by
Z 1
0
[x¡ (0:9x2 + 0:1x)]dx
=
Z 1
0
(0:9x¡ 0:9x2)dx
=
μ0:9x2
2¡ 0:9x
3
3
¶¯¯1
0
=0:9
2¡ 0:93= 0:15:
42. y =px; y =
x
2
To …nd the points of intersection, substitute for y:
px =
x
2x
2¡px = 0
x¡ 2px = 0px(px¡ 2) = 0
x = 0 or x = 4
Area =Z 4
0
³px¡ x
2
´dx =
Z 4
0
³x1=2 ¡ x
2
´dx
=
μ2
3x3=2 ¡ 1
4x2¶ ¯4
0=16
3¡ 4 = 4
3
510 Chapter 7 INTEGRATION
7.6 Numerical Integration
1.Z 2
0
(3x2 + 2)dx
n = 4; b = 2; a = 0; f(x) = 3x2 + 2
i xi f(xi)
0 0 2
11
22:75
2 1 5
33
28:75
4 2 14
(a) Trapezoidal rule:
Z 2
0
(3x2 + 2)dx
¼ 2¡ 04
·1
2(2) + 2:75 + 5 + 8:75 +
1
2(14)
¸
= 0:5(24:5)
= 12:25
(b) Simpson’s rule:
Z 2
0
(3x2 + 2)dx
¼ 2¡ 03(4)
[2 + 4(2:75) + 2(5) + 4(8:75) + 14]
=2
12(72)
= 12
(c) Exact value:
Z 2
0
(3x2 + 2)dx = (x3 + 2x)¯20
= (8 + 4)¡ 0= 12
2.Z 2
0
(2x2 + 1)dx
n = 4; b = 2; a = 0; f(x) = 2x2 + 1
i xi f(xi)
0 0 1
11
21:5
2 1 3
33
25:5
4 2 9
(a) Trapezoidal rule:Z 2
0
(2x2 + 1)dx
¼ 2¡ 04
·1
2(1) + 1:5 + 3 + 5:5 +
1
2(9)
¸
= 0:5(15)
= 7:5
(b) Simpson’s rule:Z 2
0
(2x2 + 1)dx
¼ 2¡ 03(4)
[1 + 4(1:5) + 2(3) + 4(5:5) + 9]
=2
12(44)
¼ 7:333(c) Exact value:Z 2
0
(2x2 + 1)dx =
μ2x3
3+ x
¶¯¯2
0
=
μ16
3+ 2
¶¡ 0
=22
3¼ 7:333
3.Z 3
¡1
3
5¡ x dx
n = 4; b = 3; a = ¡1, f(x) = 3
5¡ xi xi f(xi)
0 ¡1 0:5
1 0 0:6
2 1 0:75
3 2 1
4 3 1:5
Section 7.6 Numerical Integration 511
(a) Trapezoidal rule:Z 3
¡1
3
5¡ x dx
¼ 3¡ (¡1)4
·1
2(0:5) + 0:6 + 0:75 + 1 +
1
2(1:5)
¸
= 1(3:35)
= 3:35
(b) Simpson’s rule:Z 3
¡1
3
5¡ x dx
¼ 3¡ (¡1)3(4)
[0:5+4(0:6)+2(0:75)+4(1)+1:5]
=1
3
μ99
10
¶
=33
10¼ 3:3
(c) Exact value:
Z 3
¡1
3
5¡ x dx = ¡3 ln j5¡ xj¯¯3
¡1
= ¡3(ln j2j ¡ ln j6j)= 3 ln 3 ¼ 3:296
4.Z 5
1
6
2x+ 1dx
n = 4; b = 5; a = 1; f(x) = 62x+1
i xi f(xi)
0 1 2
1 26
5
2 36
7
3 42
3
4 56
11
(a) Trapezoidal rule:Z 5
1
6
2x+ 1dx
¼ 5¡ 14
·1
2(2) +
6
5+6
7+2
3+1
2
μ6
11
¶¸
= 1
μ1 +
6
5+6
7+2
3+3
11
¶
¼ 3:997
(b) Simpson’s rule:Z 5
1
6
2x+ 1dx
¼ 5¡ 13(4)
·2+4
μ6
5
¶+2
μ6
7
¶+4
μ2
3
¶+6
11
¸
=1
3
μ2 +
24
5+12
7+8
3+6
11
¶¼ 3:909
(c) Exact value:Z 5
1
6
2x+ 1dx = 3 ln j2x+ 1j
¯51
= 3(ln j11j ¡ ln j3j)
= 3 ln11
3¼ 3:898
5.Z 2
¡1(2x3 + 1)dx
n = 4; b = 2; a = ¡1; f(x) = 2x3 + 1
i xi f(x)
0 ¡1 ¡1
1 ¡ 1
4
31
32
21
2
5
4
35
4
157
32
4 2 17
(a) Trapezoidal rule:Z 2
¡1(2x3 + 1)dx
¼ 2¡ (¡1)4
·1
2(¡1) + 31
32+5
4+157
32+1
2(17)
¸
= 0:75(15:125)
¼ 11:34(b) Simpson’s rule:Z 2
¡1(2x3 + 1)dx
¼ 2¡ (¡1)3(4)
·¡1+4
μ31
32
¶+2
μ5
4
¶+4
μ157
32
¶+17
¸
=1
4(42)
= 10:5
512 Chapter 7 INTEGRATION
(c) Exact value:Z 2
¡1(2x3 + 1)dx
=
μx4
2+ x
¶¯¯2
¡1
= (8 + 2)¡μ1
2¡ 1¶
=21
2
= 10:5
6.Z 3
0
(2x3 + 1)dx
n = 4; b = 3; a = 0; f(x) = 2x3 + 1
i x f(x)
0 0 1
13
4
59
32
23
2
31
4
39
4
761
32
4 3 55
(a) Trapezoidal rule:Z 3
0
(2x3 + 1)dx
¼ 3¡ 04
·1
2(1)+
59
32+31
4+761
32+1
2(55)
¸
=3
4
μ491
8
¶
¼ 46:03(b) Simpson’s rule:Z 3
0
(2x3 + 1)dx
=3¡ 03(4)
·1+4
μ59
32
¶+2
μ31
4
¶+4
μ761
32
¶+55
¸
=1
4(174)
= 43:5
(c) Exact value:
Z 3
0
(2x3 + 1)dx =
μx4
2+ x
¶¯¯3
0
=
μ81
2+ 3
¶¡ 0
=87
2
= 43:5
7.Z 5
1
1
x2dx
n = 4; b = 5; a = 1; f(x) =1
x2
i xi f(xi)
0 1 1
1 2 0:25
2 3 0:1111
3 4 0:0625
4 5 0:04
(a) Trapezoidal rule:Z 5
1
1
x2dx
¼ 5¡ 14
·1
2(1)+0:25+0:1111+0:0625+
1
2(0:04)
¸
¼ 0:9436
(b) Simpson’s rule:Z 5
1
1
x2dx
¼ 5¡ 112
[1+4(0:25)+2(0:1111)+4(0:0625)+0:04)]
¼ 0:8374
(c) Exact value:
Z 5
1
x¡2 dx = ¡x¡1¯51
= ¡15+ 1
=4
5= 0:8
Section 7.6 Numerical Integration 513
8.Z 4
2
1
x3dx
n = 4; b = 4; a = 2; f(x) =1
x3
i xi f(xi)
0 2 0:125
1 2:5 0:064
2 3 0:03703
3 3:5 0:02332
4 4 0:015625
(a) Trapezoidal rule:Z 4
2
dx
x3¼ 4¡ 2
4
·1
2(0:125) + 0:064 + 0:03703
+ 0:02332 +1
2(0:015625)
¸
¼ 1
2(0:19466) ¼ 0:0973
(b) Simpson’s rule:Z 4
2
dx
x3¼ 4¡ 23(4)
[0:125 + 4(0:064) + 2(0:03703)
+ 4(0:02332) + 0:015625]
¼ 1
6(0:56397)
¼ 0:0940(c) Exact value:Z 4
2
dx
x3=
Z 4
2
x¡3 dx =x¡2
¡2¯42=¡12x2
¯42
=¡132+1
8=3
32= 0:09375
9.Z 1
0
4xe¡x2
dx
n = 4; b = 1; a = 0; f(x) = 4xe¡x2
i xi f(xi)
0 0 0
11
4e¡1=16
21
22e¡1=4
33
43e¡9=16
4 1 4e¡1
(a) Trapezoidal rule:Z 1
0
4xe¡x2
dx
¼ 1¡ 04
·1
2(0) + e¡1=16 + 2e¡1=4
+3e¡9=16 +1
2(4e¡1)
¸
=1
4(e¡1=16 + 2e¡1=4 + 3e¡9=16 + 2e¡1)
¼ 1:236(b) Simpson’s rule:Z 1
0
4xe¡x2
dx
¼ 1¡ 03(4)
[0 + 4(e¡1=16) + 2(2e¡1=4)
+ 4(3e¡9=16) + 4e¡1]
=1
12(4e¡1=16 + 4e¡1=4 + 12e¡9=16 + 4e¡1)
¼ 1:265(c) Exact value:
Z 1
0
4xe¡x2
dx = ¡2e¡x2¯10
= (¡2e¡1)¡ (¡2)= 2¡ 2e¡1 ¼ 1:264
10.Z 4
0
xp2x2 + 1dx
n = 4; b = 4; a = 0; f(x) = xp2x2 + 1
i xi f(xi)
0 0 0
1 1p3
2 2 6
3 3 3p19
4 4 4p33
(a) Trapezoidal rule:Z 4
0
xp2x2 + 1dx
¼ 4¡ 04
·1
2(0)+
p3+6+3
p19 +
1
2(4p33)
= 1(p3 + 6 + 3
p19 + 2
p33)
¼ 32:30
514 Chapter 7 INTEGRATION
(b) Simpson’s rule:Z 4
0
xp2x2 + 1dx
¼ 4¡ 03(4)
[0 + 4(p3) + 2(6) + 4(3
p19) + 4
p33]
=1
3(4p3 + 12 + 12
p19 + 4
p33)
¼ 31:40(c) Exact value:Z 4
0
xp2x2 + 1dx =
(2x2 + 1)3=2
6
¯¯4
0
=333=2 ¡ 1
6
¼ 31:4311. y =
p4¡ x2
n = 8; b = 2; a = ¡2; f(x) = p4¡ x2
i xi y
0 ¡2:0 0
1 ¡1:5 1:32289
2 ¡1:0 1:73205
3 ¡0:5 1:93649
4 0 2
5 0:5 1:93649
6 1:0 1:73205
7 1:5 1:32289
8 2:0 0
(a) Trapezoidal rule:Z 2
¡2
p4¡ x2 dx
¼ 2¡ (¡2)8
¢·1
2(0) + 1:32289 + 1:73205 + ¢ ¢ ¢+ 1
2(0)
¸¼ 5:991
(b) Simpson’s rule:Z 2
¡2
p4¡ x2 dx
¼ 2¡ (¡2)3(8)
¢[0+4(1:32289)+2(1:73205)+4(1:93649)+2(2)+ 4(1:93649) + 2(1:73205) + 4(1:32289) + 0]
¼ 6:167(c) Area of semicircle =
1
2¼r2
=1
2¼(2)2
¼ 6:283Simpson’s rule is more accurate.
12. 4x2 + 9y2 = 36
y2 =36¡ 4x2
9
y = §13
p36¡ 4x2
An equation of the semiellipse is
y =1
3
p36¡ 4x2:
n = 12; b = ¡3; a = 3i xi y
0 ¡3 0
1 ¡2:5 1:1055
2 ¡2 1:4907
3 ¡1:5 1:7321
4 ¡1 1:8856
5 ¡0:5 1:9720
6 0 2
7 0:5 1:9720
8 1 1:8856
9 1:5 1:7321
10 2 1:4907
11 2:5 1:1055
12 3 0
Section 7.6 Numerical Integration 515
(a) Trapezoidal rule:
A
2=6
12[1
2(0) + 1:1055 + 1:4907 + 1:7321
+ 1:8856 + 1:972 + 2 + 1:972 + 1:8856
+ 1:7321 + 1:4907 + 1:1055 + 2(0)]
¼ 9:186(b) Simpson’s rule:
A
2=
6
3(12)[0 + 4(1:1055) + 2(1:4907)
+ 4(1:7321) + 2(1:8856) + 4(1:972)
+ 2(2) + 4(1:972) + 2(1:8856) + 4(1:7321)
+ 2(1:4907) + 4(1:1055) + 0]
=1
6(55:982)
¼ 9:330(c) The trapezoidal rule gives the area of the re-gion as 9.1859. Simpson’s rule gives the area of theregion as 9.3304. The actual area is 3¼ ¼ 9:4248:Simpson’s rule is a better approximation.
13. Since f(x) > 0 and f 00(x) > 0 for all x between aand b, we know the graph of f(x) on the intervalfrom a to b is concave upward. Thus, the trape-zoid that approximates the area will have an areagreater than the actual area. Thus,
T >
Z b
a
f(x)dx:
The correct choice is (b).
14. (a) f(x) = x2; [0; 3]
T >
Z b
a
f(x)dx
By looking at the graph of y = x2 and dividingthe area between 0 and 3 into an even number oftrapezoids, you can see that each trapezoid has anarea greater than the actual area [case (b)].
(b) f(x) =px; [0; 9]
T <
Z b
a
f(x)dx
By looking at the graph of y =px and divid-
ing area between 0 and 9 into an even number oftrapezoids, you can see that each trapezoid has anarea less than the actual area [case (a)].
(c) You can’t say which is larger because sometrapezoids are greater than the given area andsome are less than the given area [case (c)].
15. (a)Z 1
0
x4 dx =
μ1
5
¶x5¯¯1
0
=1
5
= 0:2
(b) n = 4; b = 1; a = 0; f(x) = x4
Z 1
0
x4 dx ¼ 1¡ 04
·1
2(0) +
1
256+1
16+81
256+1
2(1)
¸
=1
4
μ226
256
¶
¼ 0:220703
n = 8; b = 1; a = 0; f(x) = x4
Z 1
0
x4 dx ¼ 1¡ 08
·1
2(0) +
1
4096+
1
256+
81
4096
+1
16+625
4096+81
256+2401
4096+1
2(1)
¸
=1
8
μ6724
4096
¶
¼ 0:20520
n = 16; b = 1; a = 0; f(x) = x4
Z 1
0
x4 dx ¼ 1¡ 016
·1
2(0) +
1
65,536+
1
4096
+81
65,536+
1
256+
625
65,536
+81
4096+
2401
65; 536+1
16
+6561
65,536+625
4096+14; 641
65,536
+81
256+28; 561
65,536+2401
4096
+50; 625
65,536+1
2(1)
¸
¼ 1
16
μ211; 080
65,536
¶
¼ 0:201302
516 Chapter 7 INTEGRATION
n = 32; b = 1; a = 0; f(x) = x4Z 1
0
x4 dx
¼ 1¡ 032
·1
2(0) +
1
1,048,576+
1
65,536
+81
1,048,576+
1
4096+
625
1,048,576
+81
65,536+
2401
1,048,576+
1
256+
6561
1,048,576
+625
65,536+
14,6411,048,576
+81
4096+
28,5611,048,576
+2401
65,536+
50,6251,048,576
+1
16+
83,5211,048,576
+6561
65,536+130,3211,048,576
+625
4096+194,4811,048,576
+14,64165,536
+279,8411,048,576
+81
256+390,6251,048,576
+28,56165,536
+531,4411,048,576
+2401
4096+707,2811,048,576
+50,62565,536
+923,5211,048,576
+1
2(1)
¸
¼ 1
32
μ6,721,8081,048,576
¶¼ 0:200325
To …nd error for each value of n; subtract as indicated.
n = 4: (0:220703¡ 0:2) = 0:020703n = 8: (0:205200¡ 0:2) = 0:005200n = 16: (0:201302¡ 0:2) = 0:001302n = 32: (0:200325¡ 0:2) = 0:000325(c) p = 1
41(0:020703) = 4(0:020703)
= 0:082812
81(0:005200) = 8(0:005200)
= 0:0416
Since these are not the same, try p = 2:
p = 2:
42(0:020703) = 16(0:020703)
= 0:331248
82(0:005200) = 64(0:005200) = 0:3328
162(0:001302) = 256(0:001302)
= 0:333312
322(0:000325) = 1024(0:000325)
= 0:3328
Since these values are all approximately the same,the correct choice is p = 2:
16. As n changes from 4 to 8, for example, the errorchanges from 0.020703 to 0.005200.
0:020703a = 0:005200
a ¼ 1
4
Similar results would be obtained using other val-ues for n:The error is multiplied by 1
4 :
17. (a)Z 1
0
x4 dx =1
5x5¯¯1
0
=1
5
= 0:2
(b) n = 4; b = 1; a = 0; f(x) = x4
Z 1
0
x4 dx ¼ 1¡ 03(4)
·0 + 4
μ1
256
¶+ 2
μ1
16
¶
+ 4
μ81
256
¶+ 1
¸
=1
12
μ77
32
¶
¼ 0:2005208
n = 8; b = 1; a = 0; f(x) = x4
Z 1
0
x4 dx ¼ 1¡ 03(8)
·0 + 4
μ1
4096
¶+ 2
μ1
256
¶
+ 4
μ81
4096
¶+ 2
μ1
16
¶+ 4
μ625
4096
¶
+ 2
μ81
256
¶+ 4
μ2401
4096
¶+ 1
¸
=1
24
μ4916
1024
¶
¼ 0:2000326
Section 7.6 Numerical Integration 517
n = 16; b = 1; a = 0; f(x) = x4Z 1
0
x4 dx
¼ 1¡ 03(16)
·0 + 4
μ1
65,536
¶+ 2
μ1
4096
¶
+ 4
μ81
65,536
¶+ 2
μ1
256
¶+ 4
μ625
65,536
¶
+ 2
μ81
4096
¶+ 4
μ2401
65,536
¶+ 2
μ1
16
¶
+ 4
μ6561
65,536
¶+ 2
μ625
4096
¶+ 4
μ14; 641
65,536
¶
+ 2
μ81
256
¶+ 4
μ28,56165,536
¶+ 2
μ2401
4096
¶
+ 4
μ50; 625
65,536+ 1
¶¸
=1
48
μ157; 288
16; 384
¶¼ 0:2000020
n = 32; b = 1; a = 0; f(x) = x4Z 1
0
x4 dx
¼ 1¡ 03(32)
·0 + 4
μ1
1,048,576
¶+ 2
μ1
65,536
¶
+4
μ81
1,048,576
¶+2
μ1
4096
¶+4
μ625
1,048,576
¶
+ 2
μ625
65,536
¶+ 4
μ14; 641
1,048,576
¶+ 2
μ81
4096
¶
+4
μ28,5611,048,576
¶+2
μ2401
65,536
¶+4
μ50; 625
1,048,576
¶
+ 2
μ1
16
¶+ 4
μ83,5211,048,576
¶+ 2
μ6561
65,536
¶
+4
μ130,3211,048,576
¶+2
μ625
4096
¶+4
μ194,4811,048,576
¶
+ 2
μ14,64165,536
¶+ 4
μ279,8411,048,576
¶+ 2
μ81
256
¶
+ 4
μ390,6251,048,576
¶+ 2
μ28,56165,536
¶+ 4
μ531,4411,048,576
¶
+ 2
μ2401
4096
¶+ 4
μ707,2811,048,576
¶+ 2
μ50,62565,536
¶
+ 4
μ923,5211,048,576
¶+ 1
¸
=1
96
μ50,033,168262,144
¶¼ 0:2000001
To …nd error for each value of n; subtract as indicated.
n = 4: (0:2005208¡ 0:2) = 0:0005208n = 8: (0:2000326¡ 0:2) = 0:0000326n = 16: (0:2000020¡ 0:2) = 0:0000020n = 32: (0:2000001¡ 0:2) = 0:0000001(c) p = 1:
41(0:0005208) = 4(0:0005208) = 0:0020832
81(0:0000326) = 8(0:0000326) = 0:0002608
Try p = 2:
42(0:0005208) = 16(0:0005208) = 0:0083328
82(0:0000326) = 64(0:0000326) = 0:0020864
Try p = 3:
43(0:0005208) = 64(0:0005208) = 0:0333312
83(0:0000326) = 512(0:0000326) = 0:0166912
Try p = 4:
44(0:0005208) = 256(0:0005208) = 0:1333248
84(0:0000326) = 4096(0:0000326) = 0:1335296
164(0:0000020) = 65536(0:0000020) = 0:131072
324(0:0000001) = 1048576(0:0000001) = 0:1048576
These are the closest values we can get; thus,p = 4:
18. As n changes from 4 to 8, the error changes from0.0005208 to 0.0000326.
0:0005208a = 0:0000326
a ¼ 1
16
Similar results would be obtained using other val-ues for n:The error is multiplied by 1
16 :
19. Midpoint rule:
n = 4; b = 5; a = 1; f(x) =1
x2;¢x = 1
i xi f(xi)
13
2
4
9
25
2
4
25
37
2
4
49
49
2
4
81
518 Chapter 7 INTEGRATION
Z 5
1
1
x2dx ¼
4Xi=1
f(xi)¢x
=4
9(1) +
4
25(1) +
4
49(1) +
4
81(1)
¼ 0:7355
Simpson’s rule:
m = 8; b = 5; a = 1; f(x) =1
x2
i xi f(xi)
0 1 1
13
2
4
9
2 21
4
35
2
4
25
4 31
9
57
2
4
49
6 41
16
79
2
4
81
8 51
25
Z 5
1
1
x2dx
¼ 5¡ 13(8)
·1 + 4
μ4
9
¶+ 2
μ1
4
¶+ 4
μ4
25
¶
+ 2
μ1
9
¶+ 4
μ4
49
¶+ 2
μ1
16
¶
+ 4
μ4
81
¶+1
25
¸
¼ 1
6(4:82906)
¼ 0:8048From #7 part a, T ¼ 0:9436, when n = 4. Toverify the formula evaluate 2M+T
3 :
2M + T
3¼ 2(0:7355) + 0:9436
3
¼ 0:8048
20. Midpoint rule: n = 4; b = 4; a = 2; f(x) =1
x3;
¢x =1
2
i xi f(xi)
19
4
64
729
211
4
64
1331
313
4
64
2197
415
4
64
3375
Z 4
2
1
x3dx
¼4Xi=1
f(xi)¢x
=64
729
μ1
2
¶+
64
1331
μ1
2
¶+
64
2197
μ1
2
¶+
64
3375
μ1
2
¶
¼ 0:09198Simpson’s rule:
n = 8; b = 4; a = 2; f(x) =1
x3
i xi f(xi)
0 21
8
19
4
64
729
25
2
8
125
311
4
64
1331
4 31
27
513
4
64
2197
67
2
8
343
715
4
64
3375
8 41
64
Section 7.6 Numerical Integration 519
Z 4
2
1
x3dx
¼ 4¡ 23(8)
·1
8+ 4
μ64
729
¶+ 2
μ8
125
¶+ 4
μ64
1331
¶
+ 2
μ1
27
¶+ 4
μ64
2197
¶+ 2
μ8
343
¶
+ 4
μ64
3375
¶+1
64
¸
¼ 1
12(1:125223) ¼ 0:09377
From #8 part a, T ¼ 0:0973, when n = 4. To ver-ify the formula evaluate 2M+T
3 .
2M + T
3¼ 2(0:09198) + 0:0973
3
¼ 0:09377
21. (a)
(b) A =7¡ 16
·1
2(0:4) + 0:6 + 0:9 + 1:1
+ 1:3 + 1:4 +1
2(1:6)
¸
= 6:3
(c) A =7¡ 13(6)
[0:4 + 4(0:6) + 2(0:9) + 4(1:1)
+ 2(1:3) + 4(1:4) + 1:6]
¼ 6:27
22. (a)
(b) A =7¡ 16
·1
2(9) + 9:2 + 9:5 + 9:4
+ 9:8 + 10:1 +1
2(10:5)
¸
= 57:75
(c) A =7¡ 13(6)
[9:0 + 4(9:2) + 2(9:5)
+ 4(9:4) + 2(9:8) + 4(10:1) + 10:5]
=1
3(172:9)
= 57:63
23. y = e¡t2
+1
t+ 1
The total reaction is
Z 9
1
μe¡t
2
+1
t+ 1
¶dt:
n = 8; b = 9; a = 1; f(t) = e¡t2
+ 1t+1
i xi f(xi)
0 1 0:8679
1 2 0:3516
2 3 0:2501
3 4 0:20004 5 0:1667
5 6 0:1429
6 7 0:1250
7 8 0:1111
8 9 0:1000
(a) Trapezoidal rule:
Z 9
1
μe¡t
2
+1
t+ 1
¶dt
¼ 9¡ 18
·1
2(0:8679) + 0:3516 + 0:2501
+ ¢ ¢ ¢+ 1
2(0:1000)
¸
¼ 1:831
520 Chapter 7 INTEGRATION
(b) Simpson’s rule:Z 9
1
μe¡t
2
+1
t+ 1
¶dt
¼ 9¡ 13(8)
[0:8679 + 4(0:3516) + 2(0:2501)
+ 4(0:2000) + 2(0:1667) + 4(0:1429)
+ 2(0:1250) + 4(0:1111) + 0:1000]
=1
3(5:2739)
¼ 1:758
24. y =2
t+ 2+ e¡t
2=2
The total growth is
Z 7
1
μ2
t+ 2+ e¡t
2=2
¶dt:
n = 12; b = 7; a = 1; f(t) = 2t+2 + e
¡t2=2
i xi f(xi)
0 1 1:273
1 1:5 0:8961
2 2 0:6353
3 2:5 0:4884
4 3 0:4111
5 3:5 0:3658
6 4 0:3337
7 4:5 0:3077
8 5 0:2857
9 5:5 0:2667
10 6 0:2500
11 6:5 0:2353
12 7 0:2222
(a) Trapezoidal rule:Z 7
1
μ2
t+ 2+ e¡t
2=2
¶dt
=7¡ 112
·1
2(1:273) + 0:8961 + 0:6353
+ 0:4884 + 0:4111 + 0:3658 + 0:3337
+ 0:3077 + 0:2857 + 0:2667 + 0:2500
+0:2353 +1
2(0:2222)
¸
=1
2(5:2234)
¼ 2:612
(b) Simpson’s rule
Z 7
1
μ2
t+ 2+ e¡t
2=2
¶dt
=7¡ 13(12)
[1:273+4(0:8961)+2(0:6353)+4(0:4884)
+2(0:4111)+4(0:3658)+2(0:3337)+4(0:3077)
+2(0:2857)+4(0:2667)+2(0:2500)+4(0:2353)
+ 0:2222]
=1
6(15:5668)
¼ 2:594
25. Note that heights may di¤er depending on thereadings of the graph. Thus, answers may vary.n = 10; b = 20; a = 0
i xi f(xi)
0 0 01 2 5
2 4 3
3 6 2
4 8 1:5
5 10 1:2
6 12 1
7 14 0:58 16 0:39 18 0:210 20 0:2
Area under curve for Formulation A
=20¡ 010
·1
2(0) + 5 + 3 + 2 + 1:5 + 1:2
+ 1 + 0:5 + 0:3 + 0:2 +1
2(0:2)
¸
= 2(14:8)
¼ 30 mcgh/ml
This represents the total amount of drug availableto the patient for each ml of blood.
Section 7.6 Numerical Integration 521
26. n = 10; b = 20; a = 0
i xi y
0 0 0
1 2 2:0
2 4 2:9
3 6 3:0
4 8 2:5
5 10 2:0
6 12 1:75
7 14 1:0
8 16 0:75
9 18 0:50
10 20 0:25
A =20¡ 010
·1
2(0) + 2 + 2:9 + 3 + 2:5 + 2
+ 1:75 + 1:0 + 0:75 + 0:5 +1
2(0:25)
¸
= 33:05 (This answer may vary dependingupon readings from the graph.)
The area under the curve, about 33 mcg/ml; rep-resents the total amount of drug available to thepatient for each ml of blood.
27. As in Exercise 25, readings on the graph mayvary, so answers may vary. The area both underthe curve for Formulation A and above the mini-mum e¤ective concentration line in on the interval£12 ; 6¤:
Area under curve for Formulation A on£12 ; 1¤;
with n = 1
=1¡ 1
2
1
·1
2(2 + 6)
¸
=1
2(4) = 2
Area under curve for Formulation A on [1; 6]; withn = 5
=6¡ 15
·1
2(6) + 5 + 4 + 3 + 2:4 +
1
2(2)
¸= 18:4
Area under minimum e¤ective concentration line£12 ; 6¤= 5:5(2) = 11:0
Area under the curve for Formulation A and aboveminimum e¤ective concentration line
= 2 + 18:4¡ 11:0
¼ 9 mcgh/ml
This represents the total e¤ective amount of drugavailable to the patient for each ml of blood.
28. The area both under the curve for FormulationB and above the minimum e¤ective concentrationline is on the interval (2; 10):n = 8; b = 10; a = 2
i xi y
0 2 2:0
1 3 2:4
2 4 2:9
3 5 2:8
4 6 3:0
5 7 2:6
6 8 2:5
7 9 2:2
8 10 2:0
Let AB = area under Formulation B curve be-tween t = 2 and t = 10:
AB =10¡ 28
·1
2(2) + 2:4 + 2:9 + 2:8 + 3
+ 2:6 + 2:5 + 2:2 +1
2(2)
¸
AB = 20:4
Let AME = area under minimum e¤ective concen-tration curve between t = 2 and t = 10:
AME = (10¡ 2)(2) = 16
So the area between AB and AME between t = 2and t = 10 is 20:4¡ 16 = 4:4:This area, about 4.4 mcgh/ml; represents the to-tal e¤ective amount of the drug available to thepatient for each ml of blood.
Notice that between t = 0 and t = 12; the graphfor Formulation B is below the line.Thus, no area exists under the curve for Formula-tion B and above the minimum e¤ective concen-tration line in the intervals (0; 2) and (10; 12):
522 Chapter 7 INTEGRATION
29. y = b0wb1e¡b2w
(a) If t = 7w then w =t
7:
y = b0
μt
7
¶b1e¡b2t=7
(b) Replacing the constants with the given values,we have
y = 5:955
μt
7
¶0:233e¡0:027t=7dt
In 25 weeks, there are 175 days.
175Z0
5:955
μt
7
¶0:233e¡0:027t=7dt
n = 10; b = 175; a = 0;
f(t) = 5:955
μt
7
¶0:233e¡0:027t=7
i ti f(ti)
0 0 0
1 17:5 6:89
2 35 7:57
3 52:5 7:78
4 70 7:77
5 87:5 7:65
6 105 7:46
7 122:5 7:23
8 140 6:97
9 157:5 6:70
10 175 6:42
Trapezoidal rule:Z 175
0
5:955
μt
7
¶0:233e¡0:027t=7dt
¼ 175¡ 010
·1
2(0) + 6:89 + 7:57 + 7:78 + 7:77
+ 7:65 + 7:46 + 7:23 + 6:97 + 6:70 +1
2(6:42)
¸
= 17:5(69:23)
= 1211.525
The total milk consumed is about 1212 kg.
Simpson’s rule:Z 175
0
5:955
μt
7
¶0:233e¡0:027t=7dt
¼ 175¡ 03(10)
[0 + 4(6:89) + 2(7:57) + 4(7:78)
+ 2(7:77) + 4(7:65) + 2(7:46) + 4(7:23)
+ 2(6:97) + 4(6:70) + 6:42]
The total milk consumed is about 1231 kg.
(c) Replacing the constants with the givenvalues, we have
y = 8:409
μt
7
¶0:143e¡0:037t=7:
In 25 weeks, there are 175 days.
Z 175
0
8:409
μt
7
¶0:143e¡0:037t=7dt
n = 10; b = 175; a = 0;
f(t) = 8:409
μt
7
¶0:143e¡0:037t=7
i ti f(ti)
0 0 0
1 17:5 8:74
2 35 8:80
3 52:5 8:50
4 70 8:07
5 87:5 7:60
6 105 7:11
7 122:5 6:63
8 140 6:16
9 157:5 5:71
10 175 5:28
Trapezoidal rule:Z 175
0
8:409
μt
7
¶0:143e¡0:037t=7dt
¼ 175¡ 010
·1
2(0) + 8:74 + 8:80 + 8:50
+ 8:07 + 7:60 + 7:11 + 6:63
+ 6:16 + 5:71 +1
2(5:28)
¸
= 17:5(69:96)
= 1224.30
The total milk consumed is about 1224 kg.
Section 7.6 Numerical Integration 523
Simpson’s rule:Z 175
0
8:409
μt
7
¶0:143e¡0:037t=7dt
¼ 175¡ 03(10)
[0 + 4(8:74) + 2(8:80) + 4(8:50)
+ 2(8:07) + 4(7:60) + 2(7:11) + 4(6:63)
+ 2(6:16) + 4(5:71) + 5:28]
=35
6(214:28)
= 1249.97
The total milk consumed is about 1250 kg.
30. For the period Feb. 18 through May 13, there aresix 14-day intervals or 84 days.
n = 6; b = 84; a = 0; f(t) as listed
(a) i ti f(ti)
0 Feb. 18 01 Mar. 4 122 Mar. 18 303 Apr. 1 404 Apr. 15 185 Apr. 29 86 May 13 3
Simpson’s rule:Z b
a
f(t)dt
¼ 84¡ 03(6)
[0 + 4(12) + 2(30) + 4(40) + 2(18)
+ 4(8) + 3]
=14
3(339)
= 1,582
There were about 1,582 cases.
(b) i ti f(ti)
0 Feb. 18 01 Mar. 4 102 Mar. 18 143 Apr. 1 114 Apr. 15 25 Apr. 29 16 May 13 1
Simpson’s rule:Z b
a
f(t)dt
¼ 84¡ 03(6)
[0 + 4(10) + 2(14) + 4(11) + 2(2)
+ 4(1) + 1]
¼ 14
3(121)
¼ 564:67There were about 565 cases.
31. (a)
(b)7¡ 16
1
2
·(4) + 7 + 11 + 9 + 15 + 16 +
1
2(23)
¸
= 71:5
(c)7¡ 13(6)
[4 + 4(7) + 2(11) + 4(9)
+ 2(15) + 4(16) + 23]
= 69:0
32. (a)
(b) A =7¡ 16
·1
2(12) + 16 + 18 + 21 + 24
+ 27 +1
2(32)
¸
A = 1(128)
= 128
(c) A =7¡ 13(6)
[12 + 4(16) + 2(18) + 4(21)
+ 2(24) + 4(27) + 32]
A = 128
524 Chapter 7 INTEGRATION
33. We need to evaluateZ 36
12
(105e0:01px + 32)dx:
Using a calculator program for Simpson’s rule withn = 20; we obtain 3413.18 as the value of this inte-gral. This indicates that the total revenue betweenthe twelfth and thirty-sixth months is about 3413.
34. We need to evaluateZ 182
7
3:922t0:242e¡0:00357tdt
Using a calculator program for Simpson’s rule withn = 20; we obtain 1400.88 as the value of this inte-gral. This indicates that the total amount of milkconsumed by a calf from 7 to 182 days is about1400 kg.
35. Use a calculator program for Simpson’s rule withn = 20 to evaluate each of the integrals in thisexercise.
(a)Z 1
¡1
μ1p2¼e¡x
2=2
¶dx ¼ 0:6827
The probability that a normal random variable iswithin 1 standard deviation of the mean is about0.6827.
(b)Z 2
¡2
μ1p2¼e¡x
2=2
¶dx ¼ 0:9545
The probability that a normal random variable iswithin 2 standard deviations of the mean is about0.9545.
(c)Z 3
¡3
μ1p2¼e¡x
2=2
¶dx ¼ 0:9973
The probability that a normal random variable iswithin 3 standard deviations of the mean is about0.9973.
Chapter 7 Review Exercises
5.Z(2x+ 3)dx =
2x2
2+ 3x+C
= x2 + 3x+C
6.Z(5x¡ 1)dx = 5x2
2¡ x+C
7.Z(x2 ¡ 3x+ 2)dx
=x3
3¡ 3x
2
2+ 2x+C
8.Z(6¡ x2)dx = 6x¡ x
3
3+C
9.Z3pxdx = 3
Zx1=2 dx
=3x3=2
32
+C
= 2x3=2 +C
10.Z p
x
2dx =
Z1
2x1=2 dx
=12x
3=2
32
+C
=x3=2
3+C
11.Z(x1=2 + 3x¡2=3)dx
=x3=2
32
+3x1=3
13
+C
=2x3=2
3+ 9x1=3 +C
12.Z(2x4=3 + x¡1=2)dx
=2x7=3
73
+x1=2
12
+C
=6x7=3
7+ 2x1=2 +C
13.Z ¡4x3dx =
Z¡4x¡3 dx
=¡4x¡2¡2 +C
= 2x¡2 +C
14.Z
5
x4dx =
Z5x¡4 dx
=5x¡3
¡3 +C
= ¡ 5
3x3+C
15.Z¡3e2x dx = ¡3e2x
2+C
16.Z5e¡x dx = ¡5e¡x +C
Chapter 7 Review Exercises 525
17.Zxe3x
2
dx =1
6
Z6xe3x
2
dx
Let u = 3x2; so that du = 6xdx:
=1
6
Zeu du
=1
6eu +C
=e3x
2
6+C
18.Z2xex
2
dx = ex2
+C
19.Z
3x
x2 ¡ 1 dx = 3μ1
2
¶Z2xdx
x2 ¡ 1Let u = x2 ¡ 1; so that du = 2xdx:
=3
2
Zdu
u
=3
2ln juj+C
=3 ln
¯x2 ¡ 1¯2
+C
20.Z ¡x2¡ x2 dx = ¡
1
2
Z ¡2xdx2¡ x2
Let u = 2¡ x2; so thatdu = ¡2xdx:
=1
2
Zdu
u
=1
2ln juj+C
=1
2ln¯2¡ x2¯+C
21.Z
x2 dx
(x3 + 5)4=1
3
Z3x2 dx
(x3 + 5)4
Let u = x3 + 5; so that
du = 3x2 dx:
=1
3
Zdu
u4
=1
3
Zu¡4 du
=1
3
μu¡3
¡3¶+C
=¡(x3 + 5)¡3
9+C
22.Z(x2 ¡ 5x)4(2x¡ 5)dx
Let u = x2 ¡ 5x; so that
du = (2x¡ 5)dx:Z(x2 ¡ 5x)4(2x¡ 5)dx
=
Zu4 du
=u5
5+C
=(x2 ¡ 5x)5
5+C
23.Z
x3
e3x4dx =
Zx3e¡3x
4
= ¡ 1
12
Z¡12x3e¡3x4 dx
Let u = ¡3x4; so that du = ¡12x3 dx:
= ¡ 1
12
Zeu du
= ¡ 1
12eu +C
=¡e¡3x412
+C
24.Ze3x
2+4 xdx
Let u = 3x2 + 4 so that
du = 6xdx:
Ze3x
2+4 xdx =1
6
Z(6x)(e3x
2
)dx
=1
6
Zeu du
=1
6eu + C
=e3x
2+4
6+C
526 Chapter 7 INTEGRATION
25.Z(3 lnx+ 2)4
xdx
Let u = 3 lnx+ 2 so that
du =3
xdx:
Z(3 lnx+ 2)4
xdx =
1
3
Z3(3 lnx+ 2)4
xdx
=1
3
Zu4du
=1
3¢ u
5
5+C
=(3 lnx+ 2)5
15+ C
26.Z p
5 lnx+ 3
xdx
Let u = 5 lnx+ 3 so that
du =5
xdx:
Z p5 lnx+ 3
xdx =
1
5
Z5p5 lnx+ 3
xdx
=1
5
Zu1=2du
=1
5¢ 2u
3=2
3+C
=2(5 lnx+ 3)3=2
15+C
27. f(x) = 3x+ 1; x1 = ¡1; x2 = 0; x3 = 1;x4 = 2; x5 = 3
f(x1) = ¡2; f(x2) = 1; f(x3) = 4;f(x4) = 7; f(x5) = 10
5Xi=1
f(xi)
= f(1) + f(2) + f(3) + f(4) + f(5)
= ¡2 + 1 + 4+ 7+ 10= 20
28. (a)Z 4
0
f(x)dx = 0; since the area above the x-
axis from 0 to 2 is identical to the area below thex-axis from 2 to 4.
(b)Z 4
0
f(x)dx can be computed by calculating
the area of the rectangle and triangle that makeup the region shown in graph.
Area of rectangle = (length)(width)= (3)(1) = 3
Area of triangle =1
2(base)(height)
=1
2(1)(3) =
3
2Z 4
0
f(x)dx = 3 +3
2=9
2= 4:5
29. f(x) = 2x+ 3; from x = 0 to x = 4
¢x =4¡ 04
= 1
i xi f(xi)
1 0 3
2 1 5
3 2 7
4 3 9
A =4Xi=1
f(xi)¢x
= 3(1) + 5(1) + 7(1) + 9(1)
= 24
30.Z 4
0
(2x+ 3)dx
Graph y = 2x+ 3:
Z 4
0
(2x+ 3)dx is the area of a trapezoid with
B = 11; b = 3; h = 4: The formula for thearea is
A =1
2(B + b)h:
A =1
2(11 + 3)(4)
A = 28;
so Z 4
0
(2x+ 3)dx = 28:
Chapter 7 Review Exercises 527
31. (a) Since s(t) represents the odometer reading,the distance traveled between t = 0 and t = T
will be s(T )¡ s(0):
(b)Z T
0
v(t)dt = s(T ) ¡ s(0) is equivalent to theFundamental Theorem of Calculus with a = 0;
and b = T because s(t) is an antiderivative of v(t):
32. The Fundamental Theorem of Calculus states thatZ b
a
f(x)dx = F (x)¯ba= F (b)¡ F (a);
where f is continuous on [a; b] and F is any anti-derivative of f:
33.Z 2
1
(3x2 + 5)dx =
μ3x3
3+ 5x
¶¯¯2
1
= (23 + 10)¡ (1 + 5)= 18¡ 6= 12
34.Z 6
1
(2x2 + x)dx
=
μ2x3
3+x2
2
¶¯¯6
1
=
·2(6)3
3+(6)2
2
¸¡·2(1)3
3+(1)2
2
¸
= 144 + 18¡ 23¡ 12
= 162¡ 23¡ 12
=965
6
¼ 160:83
35.Z 5
1
(3x¡1 + x¡3)dx =μ3 ln jxj+ x
¡2
¡2¶¯¯5
1
=
μ3 ln 5¡ 1
50
¶¡μ3 ln 1¡ 1
2
¶
= 3 ln 5 +12
25¼ 5:308
36.Z 3
1
(2x¡1 + x¡2)dx =μ2 ln jxj+ x
¡1
¡1¶¯¯3
1
=
μ2 ln 3¡ 1
3
¶¡ (2 ln 1¡ 1)
= 2 ln 3 +2
3¼ 2:864
37.Z 1
0
xp5x2 + 4dx
Let u = 5x2 + 4; so that
du = 10xdx and1
10du = xdx:
When x = 0; u = 5(02) + 4 = 4:When x = 1; u = 5(12) + 4 = 9:
=1
10
Z 9
4
pudu =
1
10
Z 9
4
u1=2 du
=1
10¢ u
3=2
3=2
¯94=1
15u3=2
¯94
=1
15(9)3=2 ¡ 1
15(4)3=2
=27
15¡ 8
15
=19
15
38.Z 2
0
x2(3x3 + 1)1=3 dx =(3x3 + 1)4=3
12
¯¯2
0
=254=3
12¡ 1
4=3
12
=254=3 ¡ 112
¼ 6:008
39.Z 2
0
3e¡2xdx =¡3e¡2x2
¯¯2
0
=¡3e¡42
+3
2
=3(1¡ e¡4)
2¼ 1:473
40.Z 5
1
5
2e0:4xdx =
5
2¢ 52
Z 5
1
0:4e0:4xdx
=5
2¢ 52¢ e2x=5
¯¯5
1
=25
4(e2 ¡ e0:4)
=25(e2 ¡ e0:4)
4¼ 36:86
528 Chapter 7 INTEGRATION
41.Z 1=2
0
xp1¡ 16x4 dx
Let u = 4x2: Then du = 8xdx:When x = 0; u = 0; and when x = 1
2 ; u = 1:
Thus,
Z 1=2
0
xp1¡ 16x4 dx = 1
8
Z 1
0
p1¡ u2 du:
Note that this integral represents the area of rightupper quarter of a circle centered at the originwith a radius of 1.
Area of circle = ¼r2 = ¼(12) = ¼Z 1
0
p1¡ u2 du = ¼
4
1
8
Z 1
0
p1¡ u2 du = 1
8¢ ¼4=¼
32
42.Z e5
1
p25¡ (lnx)2
xdx
Let u = lnx: Then du = 1x dx:
When x = e5; u = ln(e5) = 5:When x = 1; u = ln(1) = 0:
Thus,
Z e5
1
p25¡ (lnx)2
xdx =
Z 5
0
p25¡ u2 du:
Note that this integral represents the area of aright upper quarter of a circle centered at the ori-gin with a radius of 5.
Area of circle = ¼r2 = ¼(5)2 = 25¼Z 5
0
p25¡ u2 du = 25¼
4
43.Z p
7
1
2xp36¡ (x2 ¡ 1)2 dx
Let u = x2 ¡ 1: Then du = 2xdx:When x =
p7; u = (
p7)2 ¡ 1 = 6:
When x = 1; u = (p1)2 ¡ 1 = 0:
Thus,
Z p7
1
2xp36¡ (x2 ¡ 1)2 dx =
Z 6
0
p36¡ u2du:
Note that this integral represents the area of aright upper quarter of a circle centered at the ori-gin with a radius of 6.
Area of circle = ¼r2 = ¼(6)2 = 36¼Z 6
0
p36¡ u2 du = 36¼
4= 9¼
44. f(x) =p4x¡ 3; [1; 3]
Area =Z 3
1
p4x¡ 3dx
=
Z 3
1
(4x¡ 3)1=2dx
=2
3¢ 14¢ (4x¡ 3)3=2
¯¯3
1
=1
6(9)3=2 ¡ 1
6(1)3=2
=1
6(26)
=13
3
45. f(x) = (3x+ 2)6; [¡2; 0]
Area =Z 0
¡2(3x+ 2)6dx
=(3x+ 2)7
21
¯¯0
¡2
=27
21¡ (¡4)
7
21
=5504
7
46. f(x) = xex2
; [0; 2]
Area =Z 2
0
xex2
dx
=ex
2
2
¯¯2
0
=e4
2¡ 12
=e4 ¡ 12
¼ 26:80
47. f(x) = 1 + e¡x; [0; 4]Z 4
0
(1 + e¡x)dx = (x¡ e¡x)¯40
= (4¡ e¡4)¡ (0¡ e0)= 5¡ e¡4¼ 4:982
Chapter 7 Review Exercises 529
48. f(x) = 5¡ x2; g(x) = x2 ¡ 3
Points of intersection:
5¡ x2 = x2 ¡ 32x2 ¡ 8 = 0
2(x2 ¡ 4) = 0x = §2
Since f(x) ¸ g(x) in [¡2; 2]; the area between thegraphs isZ 2
¡2[f(x)¡ g(x)]dx =
Z 2
¡2[(5¡ x2)¡ (x2 ¡ 3)]dx
=
Z 2
¡2(¡2x2 + 8)dx
=
μ¡2x33
+ 8x
¶¯¯2
¡2
= ¡23(8) + 16 +
2
3(¡8)¡ 8(¡2)
=¡323+ 32
=64
3:
49. f(x) = x2 ¡ 4x; g(x) = x¡ 6
Find the points of intersection.
x2 ¡ 4x = x¡ 6x2 ¡ 5x+ 6 = 0
(x¡ 3)(x¡ 2) = 0x = 2 or x = 3
Since g(x) ¸ f(x) in the interval [2; 3]; the areabetween the graphs isZ 3
2
[g(x)¡ f(x)]dx
=
Z 3
2
[(x¡ 6)¡ (x2 ¡ 4x)]dx
=
Z 3
2
(¡x2 + 5x¡ 6)dx
=
μ¡x33+5x2
2¡ 6x
¶¯¯3
2
=¡273+5(9)
2¡ 6(3)¡ ¡8
3
¡ 5(4)2+ 6(2)
= ¡193+25
2¡ 6 = 1
6:
50. f(x) = x2 ¡ 4x; g(x) = x+ 6; x = ¡2; x = 4
Points of intersection:
x2 ¡ 4x = x+ 6x2 ¡ 5x¡ 6 = 0
(x+ 1)(x¡ 6) = 0x = ¡1 or x = 6
Thus, the area isZ ¡1
¡2[x2¡4x¡(x+6)]dx+
Z 4
¡1[x+6¡(x2¡4x)]dx
=
μx3
3¡ 5x
2
2¡ 6x
¶¯¯¡1
¡2+
μ¡x
3
3+5x2
2+ 6x
¶¯¯4
¡1
=
μ19
6+2
3
¶+
μ128
3+19
6
¶
=149
3
530 Chapter 7 INTEGRATION
51. f(x) = 5¡ x2; g(x) = x2 ¡ 3; x = 0; x = 4
Find the points of intersection.
5¡ x2 = x2 ¡ 38 = 2x2
4 = x2
§2 = x
The curves intersect at x = 2 and x = ¡2:Thus, the area isZ 2
0
[(5¡ x2)¡ (x2 ¡ 3)]dx
+
Z 4
2
[(x2 ¡ 3)¡ (5¡ x2)]dx
=
Z 2
0
(¡2x2 + 8)dx+Z 4
2
(2x2 ¡ 8)dx
=
μ¡2x33
+ 8x
¶¯¯2
0
+
μ2x3
3¡ 8x
¶¯¯4
2
=¡163+ 16 +
μ128
3¡ 32
¶¡μ16
3¡ 16
¶
=32
3+128
3¡ 32¡ 16
3+ 16
= 32:
52.Z 3
1
ln x
xdx
Trapezoidal Rule:
n = 4; b = 3; a = 1; f(x) = ln xx
i x1 f(xi)
0 1 0
1 1:5 0:27031
2 2 0:34657
3 2:5 0:36652
4 3 0:3662
Z 3
1
ln x
xdx ¼ 3¡ 1
4
·1
2(0) + 0:27031 + 0:34657
+ 0:36652 +1
2(0:3662)
¸
= 0:5833
Exact value:Z 3
1
ln x
xdx
=1
2(ln x)2
¯31
=1
2(ln 3)2 ¡ 1
2(ln 1)2
¼ 0:6035
53.Z 10
2
xdx
x¡ 1Trapezoidal Rule:
n = 4; b = 10; a = 2; f(x) = xx¡1
i xi f(xi)
0 2 2
1 44
3
2 66
5
3 88
7
4 1010
9Z 10
2
x
x¡ 1 dx
¼ 10¡ 24
·1
2(2) +
4
3+6
5+8
7+1
2
μ10
9
¶¸¼ 10:46
Exact Value:
Let u = x¡ 1; so that du = dx and x = u+ 1:ThenZ 10
2
x
x¡ 1 dx =Z 9
1
u+ 1
udu
=
Z 9
1
μ1 +
1
u
¶du
=
Z 9
1
du+
Z 9
1
1
udu
= u9
1+ ln juj
¯91
= (9¡ 1) + (ln 9¡ ln 1)= 8 + ln 9 ¼ 10:20:
Chapter 7 Review Exercises 531
54.Z 1
0
expex + 4dx
Trapezoidal Rule:
n = 4; b = 1; a = 0; f(x) = expex + 4
i xi f(xi)
0 0 2:236
1 0:25 2:952
2 0:5 3:919
3 0:75 5:236
4 1 7:046Z 1
0
expex + 4dx
=1¡ 04
·1
2(2:236) + 2:952
+ 3:919 + 5:236 +1
2(7:046)
¸¼ 4:187
Exact value:Z 1
0
expex + 4dx =
Z 1
0
ex(ex + 4)1=2dx
=2
3(ex + 4)3=2
¯¯1
0
=2
3(e+ 4)3=2 ¡ 2
3(5)3=2
¼ 4:155
55.Z 3
1
ln x
xdx
Simpson’s rule:
n = 4; b = 3; a = 1; f(x) = ln xx
i xi f(xi)
0 1 0
1 1:5 0:27031
2 2 0:34657
3 2:5 0:36652
4 3 0:3662Z 3
1
ln x
xdx
¼ 3¡ 13(4)
[0 + 4(0:27031) + 2(0:34657)
+ 4(0:36652) + 0:3662]
¼ 0:6011This answer is close to the value of 0.6035 obtainedfrom the exact integral in Exercise 52.
56.Z 10
2
xdx
x¡ 1Simpson’s Rule:
i xi f(x1)
0 2 2
1 44
3
2 66
5
3 88
7
4 1010
9
Z 10
2
x
x¡ 1 dx
¼ 10¡ 23(4)
·2+4
μ4
3
¶+2
μ6
5
¶+4
μ8
7
¶+10
9
¸
¼ 10:28
This answer is close to the answer of 10.20 ob-tained from the exact integral in Exercise 53.
57.Z 1
0
expex + 4dx
Simpson’s rule:
n = 4; b = 1; a = 0; f(x) = expex + 4
i xi f(xi)
0 0 2:236
1 0:25 2:952
2 0:5 3:919
3 0:75 5:236
4 1 7:046
Z 1
0
expex + 4dx
=1¡ 03(4)
[2:236 + 4(2:952) + 2(3:919)
+ 4(5:236) + 7:046
¼ 4:156
This answer is close to the answer of 4.155 ob-tained from the exact integral in Exercise 54.
532 Chapter 7 INTEGRATION
58. (a)Z 5
1
·px¡ 1¡
μx¡ 12
¶¸dx
=
Z 5
1
μpx¡ 1¡ x
2+1
2dx
¶
=
μ2
3(x¡ 1)3=2 ¡ x
2
4+x
2
¶ ¯51
=
μ16
3¡ 254+5
2
¶¡μ0¡ 1
4+1
2
¶
=16
3¡ 6 + 2 = 4
3
(b) n = 4; b = 5; a = 1; f(x) =px¡ 1¡ x
2+1
2
i xi f(xi)
0 1 0
1 2 0:5
2 3 0:41421
3 4 0:23205
4 5 0Z 5
1
μpx¡ 1¡ x
2+1
2
¶dx
=
μ5¡ 14
¶·1
2(0) + 0:5 + 0:41421
+ 0:23205 +1
2(0)
¸= 1:146
(c)Z 5
1
μpx¡ 1¡ x
2+1
2
¶dx
=
μ5¡ 13(4)
¶[0 + 4(0:5) + 2(0:41421)
+ 4(0:23205) + 0]
=
μ1
3
¶(3:75662)
= 1:252
59.Z 2
¡2[x(x¡ 1)(x+ 1)(x¡ 2)(x+ 2)]2dx
(a) Trapezoidal Rule:
n = 4; b = ¡2; a = 2;f(x) = [x(x¡ 1)(x+ 1)(x¡ 2)(x+ 2)]2
i xi f(xi)
0 ¡2 0
1 ¡1 0
2 0 0
3 1 0
4 2 0
Z 2
¡2[x(x¡ 1)(x+ 1)(x¡ 2)(x+ 2)]2dx
¼ 2¡ (¡2)4
·1
2(0) + 0 + 0 + 0 +
1
2(0)
¸
= 0
(b) Simpson’s Rule
n = 4; b = 2; a = 2;
f(x) = [x(x¡ 1)(x+ 1)(x¡ 2)(x+ 2)]2
i xi f(xi)
0 ¡2 0
1 ¡1 0
2 0 0
3 1 0
4 2 0
Z 2
¡2[x(x¡ 1)(x+ 1)(x¡ 2)(x+ 2)]2dx
¼ 2¡ (¡2)3(4)
[0 + 4(0) + 2(0) + 4(0) + 0]
= 0
60.Z 2
0
f(2x)dx =1
2
Z 4
0
f(x)dx
=1
2
Z 2
0
f(x)dx+1
2
Z 4
2
f(x)dx
=1
2(3) +
1
2(5)
= 4
The answer is c.
61. C0(x) = 3p2x¡ 1; 13 units cost $270.
C(x) =
Z3(2x¡ 1)1=2 dx
=3
2
Z2(2x¡ 1)1=2 dx
Let u = 2x¡ 1; so thatdu = 2dx:
=3
2
Zu1=2 du
=3
2
μu3=2
3=2
¶+C
= (2x¡ 1)3=2 +CC(13) = [2(13)¡ 1]3=2 +C
Chapter 7 Review Exercises 533
Since C(13) = 270;
270 = 253=2 +C
270 = 125 +C
C = 145:
Thus,C(x) = (2x¡ 1)3=2 + 145:
62. C0(x) = 82x+1 ; …xed cost is $18.
C(x) =
Z8
2x+ 1dx
= 4 ln j2x+ 1j+ kIf x = 0; C(x) = 18:
Thus18 = ln j1j+ kk = 18:
Thus,C(x) = 4 ln j2x+ 1j+ 18:
63. Read values for the rate of investment income ac-cumulation for every 2 years from year 1 to year9. These are the heights of rectangles with width¢x = 2:
Total accumulated income= 11; 000(2) + 9000(2) + 12; 000(2) + 10; 000(2)
+ 6000(2) ¼ $96; 00064. Total amount
=
Z t
0
100,000e0:03t dt
=100,000e0:03t
0:03
¯t0
=10,000,000
3(e0:03t ¡ 1)
Set this expression equal to 4,000,000.10,000,000
3(e0:03t ¡ 1) = 4,000,000
e0:03t ¡ 1 = 1:20:03t = ln 2:2
t ¼ 26:3It will take him 26.3 years to use up the supply.
65. S0(x) = 3p2x+ 1+ 3
S(x) =
Z 4
0
(3p2x+ 1+ 3)dx
= [(2x+ 1)3=2 + 3x]¯40
= (27 + 12)¡ (1 + 0)= 38
Total sales = $38,000.
66. (a) f(x) =Z(0:1908x+ 1:148)dx
=0:1908x2
2+ 1:148x+C
= 0:0954x2 + 1:148x+C
Since the productivity in 1992 (x = 2) was 100,
100 = 0:0954(2)2 + 1:148(2) +C
100 = 2:6776 +C
C = 97:3224
Thus,
f(x) = 0:0954x2 + 1:148x+ 97:3224:
(b) 2005 corresponds to x = 15:
f(15) = 0:0954(15)2 + 1:148(15) + 97:3224
¼ 136:0The productivity was approximately 136, whichdi¤ers from the actual value by 0.2.
67. S(q) = q2 + 5q + 100D(q) = 350¡ q2S(q) = D(q) at the equilibrium point.
q2 + 5q + 100 = 350¡ q22q2 + 5q ¡ 250 = 0
(¡2q + 25)(q ¡ 10) = 0q = ¡25
2or q = 10
Since the number of units produced would not benegative, the equilibrium point occurs when q =10:
Equilibrium supply= (10)2 + 5(10) + 100 = 250
Equilibrium demand= 350¡ (10)2 = 250
(a) Producers’ surplus
=
Z 10
0
[250¡ (q2 + 5q + 100)]dx
=
Z 10
0
(¡q2 ¡ 5q + 150)dx
=
μ¡q33¡ 5q
2
2+ 150q
¶¯¯10
0
=¡10003
¡ 5002+ 1500
=$2750
3¼ $916:67
534 Chapter 7 INTEGRATION
(b) Consumers’ surplus =Z 10
0
[(350¡ q2)¡ 250]dx =Z 10
0
(100¡ q2)dx =μ100q ¡ q
3
3
¶¯¯10
0
= 1000¡ 10003
=$2000
3¼ $666:67
68. S0(x) = 225¡ x2; C0(x) = x2 + 25x+ 150S0(x) = C0(x)
225¡ x2 = x2 + 25x+ 1502x2 + 25x¡ 75 = 0(2x¡ 5)(x+ 15) = 0
x =5
2= 2:5
The company should use the machinery for 2.5 years.Z 2:5
0
[(225¡ x2)¡ (x2 + 25x+ 150)]dx =Z 2:5
0
(¡2x3 ¡ 25x+ 75)dx =μ¡2x3
3¡ 25x
2
2+ 75x
¶ ¯2:50
=¡2(2:53)
3¡ 25(2:5
2)
2+ 75(2:5) ¼ 98:95833 ¼ 99; 000
The net savings are about $99,000.
69. (a)Total amount =1
2(2:394)+2:366+2:355+2:282+2:147+2:131+2:118+2:097+2:073+1:983+
1
2(1:869)
¼ 21:684This calculation yields a total of 21.684 billion barrels.
70. The inventory must be replenished when
19¡ S(T ) = 1:19¡ (e3T ¡ 1) = 1
19 = e3T
3T = ln 19
T =1
3ln 19
Therefore, the inventory carrying cost from 0 to T week is
15
Z T
0
[19¡ S(t)]dt = 15Z T
0
[19¡ (e3t ¡ 1)]dt
= 15
Z T
0
(20¡ e3t)dt
= 15
μ20t¡ 1
3e3t¶¯¯1
0
= 15
μ20T ¡ 1
3e3T +
1
3
¶
= 15
μ20
3ln 19¡ 19
3+1
3
¶
¼ 15(13:63)¼ 204:
The correct choice is (c).
Chapter 7 Review Exercises 535
71. f(t) = 100¡ tp0:4t2 + 1The total number of additional spiders in the …rstten months isZ 10
0
(100¡ tp0:4t2 + 1)dt;where t is the time in months.
=
Z 10
0
100dt¡Z 10
0
tp0:4t2 + 1dt:
Let u = 0:4t2 + 1; so that
du = 0:8tdt and 10:8 du = t dt:
When t = 10; u = 41:When t = 0; u = 1:
=
Z 10
0
100dt¡ 1
0:8
Z 41
1
u1=2 du
= 100t
¯¯10
0
¡ 54¢ u
3=2
32
¯¯41
1
= 1000¡ 5
6u3=2
¯¯41
1
¼ 782The total number of additional spiders in the …rst10 months is about 782.
72. The total number of infected people over the …rst
four months isZ 4
0
100t
t2 + 1dt; where t is time in
months.Let u = t2 + 1; so that
du = 2t dt and 50 du = 100t dt:
If t = 4; u = 17; soZ 4
0
100t
t2 + 1dt
= 50
Z 17
1
1
udu = 50 ln juj
¯171
= 50 ln 17¡ 50 ln j1j= 50 ln 17
¼ 141:66:Approximately 142 people are infected.
73. (a) The total area is the area of the triangle on[0; 12] with height 0.024 plus the area of the rec-tangle on [12; 17:6] with height 0.024.
A =1
2(12¡ 0)(0:024) + (17:6¡ 12)(0:024)
= 0:144 + 0:1344
= 0:2784
(b) On [0; 12] we de…ned the function f(x) withslope 0:024¡0
12¡0 = 0:002 and y-intercept 0.
f(x) = 0:002x
On [12; 17:6]; de…ne g(x) as the constant value.
g(x) = 0:024:
The area is the sum of the integrals of these twofunctions.
A =
Z 12
0
0:002xdx+
Z 17:6
12
0:024dx
= 0:001x2¯120+ 0:024x
¯17:612
= 0:001(122 ¡ 02) + 0:024(17:6¡ 12)= 0:144 + 0:1344
= 0:2784
74. Since answers are found by estimating values onthe graph, exact answers may vary slightly; how-ever when rounded to the nearest hundred, all an-swers should be the same. Sample solution:
(a) Left endpoints:
Read the values of the function from the graph,using the open circles for the functional values.The values of x and f(x) are listed in the table.
x 0 2 5 15 30 45 60f(x) 30 50 60 105 85 70 55
The values give the heights of 6 rectangles. Thewidth of each rectangle is found by subtractingsubsequent values of x: We estimate the area un-der the curve as6Xi=1
f(xi)4 xi = 30(2) + 50(3) + 60(10) + 105(15)
+ 85(15) + 70(15)
= 4710.
Right endpoints:
We estimate the area under the curve as6Xi=1
f(xi)4 xi = 50(2) + 60(3) + 105(10) + 85(15)
+ 70(15) + 55(15)
= 4480.
Average:
4710 + 44802
= 4595 ¼ 4600 pM.
536 Chapter 7 INTEGRATION
(b) Read the values of the function from the graph, using the closed circles for the functional values. Thevalues of x and g(x) are listed in the table.
x 0 2 5 15 30 45 60g(x) 20 42 42 70 52 40 20
The values give the heights of 6 rectangles. The width of each rectangle is found by subtracting subsequentvalues of x: We estimate the area under the curve as
6Xi=1
g(xi)4 xi = 20(2) + 42(3) + 42(10) + 70(15) + 52(15) + 40(15)
= 3016.
Right endpoints:
We estimate the area under the curve as
6Xi=1
g(xi)4 xi = 42(2) + 42(3) + 70(10) + 52(15) + 40(15) + 20(15)
= 2590.
Average:3016 + 2590
2= 2803 ¼ 2800 pM.
(c)4600¡ 2800
2800¼ 0:6428
The area under the curve is about 64% more for the fasting sheep.
75. (a) Total amount =1
2(271,553) + 278,325 + 274,690 + 290,525 + 289,890
+ 309,569 + 317,567 + 335,869 + 331,055 +1
2(331,208)
¼ 2,728,871This calculation yields a total of about $2,728,871.
76. v(t) = t2 ¡ 2t
s(t) =
Z t
0
(t2 ¡ 2t)dt
s(t) =t3
3¡ t2 + s0
If t = 3; s = 8:
8 = 9¡ 9 + s08 = s0
Thus,
s(t) =t3
3¡ t2 + 8:
77. For each month, subtract the average temperature from 65± (if it falls below 65±F), then multiply this numbertimes the number of days in the month. The sum is the total number of heating degree days. Readings mayvary, but the sum is approximately 4800 degree-days. (The actual value is 4868 degree-days.)
Extended Application/Estimating Depletion Dates for Mineralsl 537
Extended Application: EstimatingDepletion Dates for Minerals
1. 2,300,000 ¥ 17,100 ¼ 135The reserves would last about 135 yr.
2. 2,300,000 =17,1000:02
(e0:02T1 ¡ 1)2,300,000(0:02)
17,100= e0:02T1 ¡ 1
2:6901 + 1 = e0:02T1
3:6901 = e0:02T1
ln 3:6901 = 0:02T1
T1 =ln 3:6901
0:02
T1 ¼ 65:3The reserves would last about 65.3 yr.
3. 15,000,000 =63,0000:06
(e0:06T1 ¡ 1)15,000,000(0:06)
63,000+ 1 = e0:06T1
15:286 ¼ e0:06T1ln 15:286 ¼ 0:06T1
T1 ¼ ln 15:286
0:06
= 45:4
The depletion time for bauxite is about 45.4 yr.
4. 2; 000; 000 =2200
0:04(e0:04T1 ¡ 1)
2; 000; 000(0:04)
2200+ 1 = e0:04T1
37:36 = e0:04T1
ln 37:36 = 0:04T1T1 ¼ 90:5
The depletion time for bituminous coal is about90.5 yr.
5. k(t) =0:5
t+ 25
(a) For t = 0;
k(t) =0:5
0 + 25= 0:02:
This gives a growth rate of 2% for 1970.
For t = 25;
k(t) =0:5
25 + 25= 0:01:
This gives a growth rate of 1% for 1996.
(b) Use the form of the function k(t) =a
t+ b;
where a and b are both constants. Since k(0) =
0:03; k(t) =a
t+ b, where
0:03 =a
0 + b=a
b. Or a = 0:03b:
Also, since k(25) = 0:02,
0:02 =a
25 + b: Or a = 0:02(25 + b):
Solve:0:03b = 0:02(25 + b)
0:03b = 0:5 + 0:02b
0:01b = 0:5
b = 50
Find a using substitution.
a = 0:03b
a = 0:03(50)
a = 1:5
The function that satis…es these conditions is
k(t) =1:5
t+ 50:
(a) Total consumption = 17,100Z T
0
ek(t)¢tdt
= 17,100Z T
0
e1:5t=(t+50)dt
(b) Use the fnInt command on a graphing calculator toevaluate
17,100Z T
0
e1:5t=(t+50)dt
for di¤erent values of T:
For T = 70 the integral is about 2,158,000.For T = 71 the integral is about 2,199,000.For T = 72 the integral is about 2,240,000.For T = 73 the integral is about 2,282,000.For T = 74 the integral is about 2,324,000.
We would estimate that starting in 1970 the petroleumreserves would last for about 73 years, that is, until2043.