1. Use the Maclaurin Series to approximate the function f (x) = In(1+ x) using each of the combinations of approximation order and step size. For each approximation, calculate the relative truncation error to three significant figures. Approximation Step size, Relative Order h Maclaurin Series Truncation Error O(h) O(h) O (h) O(h) O(h?) O(h?) O(h²) O(h²) 0.25 0.5 1.0 1.5 0.25 0.5 1.0 1.5
1. Use the Maclaurin Series to approximate the function f (x) = In(1+ x) using each of the combinations of approximation order and step size. For each approximation, calculate the relative truncation error to three significant figures. Approximation Step size, Relative Order h Maclaurin Series Truncation Error O(h) O(h) O (h) O(h) O(h?) O(h?) O(h²) O(h²) 0.25 0.5 1.0 1.5 0.25 0.5 1.0 1.5
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Question
Truncation Error 1

Transcribed Image Text:Use the Maclaurin Series to approximate the function f (x) = In(1+ x) using each of the
combinations of approximation order and step size. For each approximation, calculate the relative
truncation error to three significant figures.
1.
Approximation
Step size,
Relative
Order
h
Maclaurin Series
Truncation Error
O (h)
O(h)
O (h)
O(h)
O(h?)
O(h?)
O(h²)
O (h²)
0.25
0.5
1.0
1.5
0.25
0.5
1.0
1.5
What can you conclude about the relationship between the approximation order, step size, and
truncation error? Are higher-order approximation orders always better?
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