20. Let z = (xo +x1)/2, h = (x, – xo)/2. To analyze the approximation (4.19), con- sider the error %3D = flxo, x1] – f' ( **): f(z +h) – f(z – h) – f'(2) 2 2h Expand f(z + h) and f(z – h) about z by using Taylor's theorem from Section 1.2, and include terms of degree <3 in the variable h. Use these expansions to show that h? G "(2) for small values of h. Thus, (4.19) is a good approximation when x1 - xo is relatively small.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
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20. Let z = (xo+x1)/2, h = (x1 – xo)/2. To analyze the approximation (4.19), con-
sider the error
%3D
E = f(xo, x1] – f' (*) =
Xo + x1
f(z+h) – f(z – h)
– f'(2)
2
2h
Expand f(z + h) and f(z – h) about z by using Taylor's theorem from Section
1.2, and include terms of degree <3 in the variable h. Use these expansions to
show that
h?
E - "(2)
for small values of h. Thus, (4.19) is a good approximation when x1 - xo is
relatively small.
Transcribed Image Text:20. Let z = (xo+x1)/2, h = (x1 – xo)/2. To analyze the approximation (4.19), con- sider the error %3D E = f(xo, x1] – f' (*) = Xo + x1 f(z+h) – f(z – h) – f'(2) 2 2h Expand f(z + h) and f(z – h) about z by using Taylor's theorem from Section 1.2, and include terms of degree <3 in the variable h. Use these expansions to show that h? E - "(2) for small values of h. Thus, (4.19) is a good approximation when x1 - xo is relatively small.
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