p. 204, 4 (a) 1 - x + x2 - x3 + x4 - x5
(b) (1 + c)-7 x6, where 0 < |c| < |x| and c and x have the same sign.
p. 213, 2 (a) P(3) = 1.78
(b) P'(3) = -0.40
(c) I(P) = 5.97
(d) P(4.5) = 4.5
(e) We can derive P(x) = D3 + Cx2 + Bx + A by solving the system of linear equations
| A | + | = | 2.08 | |||||
| A | + | B | + | C | + | D | = | 2.02 |
| A | + | 2B | + | 4C | + | 8D | = | 2.00 |
| A | + | 4B | + | 16C | + | 64D | = | 2.00 |
which this gives us P(x) = -0.04x3 + 0.14x2 - .16x + 2.08.
p. 225, 2
f(1.5) = 2.83333, f(1.2) = 2.86667
Lagrange
(a)
P2(x) = .4x2 - 1.2x + 3.8
P2(1.5) = 2.9
P2(1.2) = 2.936
(b)
P3(x) = .8x3 + 4.8x2 - 8.8x + 7.8
P3(1.5) = 2.7
P3(1.2) = 2.7696
Hermite
(a)
b0 = 3,
b1 = -1,
b2 = 1,
b3 = -.5,
b4 = .2, and
b5 = -.08
P2(1.5) = 2.83
P2(1.2) = 2.8637824
(b)
b0 = 4.5,
b1 = -7,
b2 = 8,
b3 = -8,
b4 = 4,
b5 = -2,
b6 = .8, and
b7 = -.32
P3(1.5) = 2.82
P3(1.2) = 2.861013504
p. 235, 2
P1(x) = 5 - 2x
P2(x) = 5 - 2.5x + .5x2
P3(x) = 5 - 2.7x + .8x2 - .1x3
P4(x) = 5 - 2.718x + .8033x2 - .118x3 +
.003x4
P1(2.5) = 0
P2(2.5) = 1.875
P3(2.5) = 1.6875
P4(2.5) = 1.6846875
p. 247, 1
T4(x) = 2x T3(x) - T2(x)
= 8x4 - 8x2 + 1
T5(x) = 2x T4(x) - T3(x)
= 16x5 - 20x2 + 5x
p. 248, 8
(a)
Using Theorem 4.9,
Using inspection (i.e., plotting the curves and looking at the differences), we can determine that the largest error occurs at the endpoints and is 9.93043x10-4.
Cheers,
Craig C. Douglas