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Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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**Objective: Understanding Taylor's Theorem for Upper Bound Error Estimation**

In this exercise, we aim to use Taylor's Theorem to determine an upper bound for the error of a given approximation. We will assume that \( c = 0 \) for this approximation. 

The expression given is an approximation of the sine function:

\[
\sin(0.5) \approx 0.5 - \frac{(0.5)^3}{3!} + \frac{(0.5)^5}{5!}
\]

**Explanation:**

- \( \sin(x) \) is being approximated at \( x = 0.5 \).
- The first term is \( 0.5 \), representing the linear approximation.
- The second term \( \frac{(0.5)^3}{3!} \) is derived from the third-degree term in the Taylor series expansion.
- The third term \( \frac{(0.5)^5}{5!} \) is derived from the fifth-degree term in the Taylor series expansion.
  
By applying Taylor's Theorem, we aim to estimate the maximum error involved in truncating the series after the fifth-degree term.
Transcribed Image Text:**Objective: Understanding Taylor's Theorem for Upper Bound Error Estimation** In this exercise, we aim to use Taylor's Theorem to determine an upper bound for the error of a given approximation. We will assume that \( c = 0 \) for this approximation. The expression given is an approximation of the sine function: \[ \sin(0.5) \approx 0.5 - \frac{(0.5)^3}{3!} + \frac{(0.5)^5}{5!} \] **Explanation:** - \( \sin(x) \) is being approximated at \( x = 0.5 \). - The first term is \( 0.5 \), representing the linear approximation. - The second term \( \frac{(0.5)^3}{3!} \) is derived from the third-degree term in the Taylor series expansion. - The third term \( \frac{(0.5)^5}{5!} \) is derived from the fifth-degree term in the Taylor series expansion. By applying Taylor's Theorem, we aim to estimate the maximum error involved in truncating the series after the fifth-degree term.
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