[4] Let f(x) = = {₁2 of f. (b) (c) (d) Sketch the odd periodic extension of f. 1 (e) Find the Fourier sine series of f. 0
[4] Let f(x) = = {₁2 of f. (b) (c) (d) Sketch the odd periodic extension of f. 1 (e) Find the Fourier sine series of f. 0
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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![**Problem Statement [4]**
Given the function \( f(x) \) defined as follows:
\[ f(x) = \begin{cases}
1 & \text{if } 0 < x < \pi/2 \\
2 & \text{if } \pi/2 < x < \pi
\end{cases} \]
(e) **Find the Fourier sine series of \( f \).**
(f) **To what values does the Fourier sine series converge at \( x = 0 \), \( x = \pi/2 \), \( x = \pi \), \( x = 3\pi/2 \), and \( x = 2\pi \)**?
(g) **Denote by \( f_{ep}(x) \) the even periodic extension of \( f(x) \). When we use periodic functions of the form:**
\[ T(x) = A_0 + A_1 \cos x + B_1 \sin x + A_2 \cos(2x) + B_2 \sin(2x) \]
**to approximate \( f_{ep}(x) \), the error in mean is defined by:**
\[ \int_{-\pi}^{\pi} | f_{ep}(x) - T(x) |^2 \, dx \]
**Determine the values of coefficients \( A_0 \), \( A_1 \), \( B_1 \), \( A_2 \), and \( B_2 \) that minimize the error in mean.**](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa68164dd-6bba-4aa5-92bc-4824a71db092%2Fa8bba7d9-79cc-4807-a8c4-5bc1b450115b%2Fb6t7hhm_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Problem Statement [4]**
Given the function \( f(x) \) defined as follows:
\[ f(x) = \begin{cases}
1 & \text{if } 0 < x < \pi/2 \\
2 & \text{if } \pi/2 < x < \pi
\end{cases} \]
(e) **Find the Fourier sine series of \( f \).**
(f) **To what values does the Fourier sine series converge at \( x = 0 \), \( x = \pi/2 \), \( x = \pi \), \( x = 3\pi/2 \), and \( x = 2\pi \)**?
(g) **Denote by \( f_{ep}(x) \) the even periodic extension of \( f(x) \). When we use periodic functions of the form:**
\[ T(x) = A_0 + A_1 \cos x + B_1 \sin x + A_2 \cos(2x) + B_2 \sin(2x) \]
**to approximate \( f_{ep}(x) \), the error in mean is defined by:**
\[ \int_{-\pi}^{\pi} | f_{ep}(x) - T(x) |^2 \, dx \]
**Determine the values of coefficients \( A_0 \), \( A_1 \), \( B_1 \), \( A_2 \), and \( B_2 \) that minimize the error in mean.**
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