2. Use the Maclaurin Series to approximate the function f(x) = (x – 2)* 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, h Truncation Error, E Order Maclaurin Series O(h) 0.5 O(h²) 0.5 O(h³) 0.5 O(h*) 0.5 O(h) 5 O(h?) 5 O(h³) What can you conclude about the relationship between the approximation order, step size, and truncation error? Are higher-order approximation orders always better?

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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Use the Maclaurin Series to approximate the function ?(?) = (? − 2)^4 using each of the combinations of approximation order and step size. For each approximation, calculate the relative truncation error to three significant figures.

2. Use the Maclaurin Series to approximate the function f (x) = (x – 2)* using each of the
combinations of approximation order and step size. For each approximation, calculate the relative
truncation error to three significant figures.
Approximation
Order
Step size, h
Truncation Error, E
Maclaurin Series
O(h)
0.5
O(h?)
0.5
O(h³)
0.5
O(h*)
0.5
O(h)
5
(G4)0
O(h³)
5
What can you conclude about the relationship between the approximation order, step size, and
truncation error? Are higher-order approximation orders always better?
Transcribed Image Text:2. Use the Maclaurin Series to approximate the function f (x) = (x – 2)* using each of the combinations of approximation order and step size. For each approximation, calculate the relative truncation error to three significant figures. Approximation Order Step size, h Truncation Error, E Maclaurin Series O(h) 0.5 O(h?) 0.5 O(h³) 0.5 O(h*) 0.5 O(h) 5 (G4)0 O(h³) 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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