Chapter 2: Problem 1
Let $$ f(x)= \begin{cases}x, & 0 \leq x \leq \frac{\pi}{2}, \\ \pi-x, & \frac{\pi}{2} \leq x \leq \pi,\end{cases} $$ and let \(\tilde{f}\) be the odd extension of \(f\) to \([-\pi, \pi]\). Find the Fourier series of \(\tilde{f}\) on \([-\pi, \pi]\).
Short Answer
Expert verified
The Fourier series of \(\tilde{f}\) contains only sine terms, based on its odd extension over \([-\pi, \pi]\).
Step by step solution
01
Analyze the Piecewise Function
The function \( f(x) \) is defined as \( f(x) = x \) when \( 0 \leq x \leq \frac{\pi}{2} \) and \( f(x) = \pi - x \) when \( \frac{\pi}{2} \leq x \leq \pi \). This is a piecewise function that is defined on the interval \([0, \pi]\).
02
Define the Odd Extension
The odd extension \( \tilde{f}(x) \) of a function \( f(x) \) is defined as \( \tilde{f}(x) = -f(-x) \). Thus, for the function \( f(x) \), the odd extension \( \tilde{f} \) on \([-\pi, \pi]\) will be \( \tilde{f}(x) = f(x) \) for \( 0 \leq x \leq \pi \) and \( \tilde{f}(x) = -f(-x) \) for \( -\pi \leq x < 0 \).
03
Determine the Fourier Series Components
Since \( \tilde{f} \) is an odd function, the Fourier series will only contain sine terms (\( b_n \)). The coefficient for each term is given by:\[b_n = \frac{2}{\pi} \int_0^{\pi} \tilde{f}(x) \sin\left(\frac{n\pi x}{\pi}\right) \,dx\]We need to calculate this integral for each \( n \).
04
Calculate the Fourier Coefficients
Due to symmetry and periodicity, evaluate:\[b_n = \frac{2}{\pi} \left( \int_0^{\frac{\pi}{2}} x \sin(nx) \,dx + \int_{\frac{\pi}{2}}^{\pi} (\pi-x) \sin(nx) \,dx \right)\]Compute these integrals separately for each section using integration by parts.
05
Integrate by Parts for Each Segment
Use integration by parts for both segments:1. \( \int_0^{\frac{\pi}{2}} x \sin(nx) \,dx \): Let \( u = x \), \( dv = \sin(nx) \, dx \).2. \( \int_{\frac{\pi}{2}}^{\pi} (\pi-x) \sin(nx) \,dx \): Let \( u = \pi - x \), \( dv = \sin(nx) \, dx \).Solve separately, simplifying their resulting expressions.
06
Construct the Complete Fourier Series
After calculating the coefficients \( b_n \), write the Fourier series as:\[\tilde{f}(x) = \sum_{n=1}^{\infty} b_n \sin(nx)\]Substitute the computed \( b_n \) values to get the final series expression.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Understanding Piecewise Functions
Piecewise functions are defined by different expressions over different parts of their domain. They can appear complicated at first, but breaking them into pieces makes them simpler to analyze.
For the function \( f(x) = \begin{cases}x, & 0 \leq x \leq \frac{\pi}{2}, \ \pi-x, & \frac{\pi}{2} \leq x \leq \pi,\end{cases} \), this means:
For the function \( f(x) = \begin{cases}x, & 0 \leq x \leq \frac{\pi}{2}, \ \pi-x, & \frac{\pi}{2} \leq x \leq \pi,\end{cases} \), this means:
- When \( x \) is between 0 and \( \frac{\pi}{2} \), the function behaves like the line \( y = x \).
- When \( x \) is between \( \frac{\pi}{2} \) and \( \pi \), the function follows the line \( y = \pi - x \), which is a reflection of the previous segment over the line \( x = \frac{\pi}{2} \).
Creating an Odd Function Extension
An odd function is symmetric about the origin, meaning that \( f(-x) = -f(x) \). To extend a piecewise function like \( f(x) \) to be odd over \([-\pi, \pi]\), we define:
Odd functions only have sinus components in their Fourier series, making them perfect candidates for sine-only Fourier expansions.
- \( \tilde{f}(x) = f(x) \) for \( 0 \leq x \leq \pi \)
- \( \tilde{f}(x) = -f(-x) \) for \( -\pi \leq x \leq 0 \)
Odd functions only have sinus components in their Fourier series, making them perfect candidates for sine-only Fourier expansions.
Mastering Integration by Parts
Integration by Parts is a technique often used to solve the integral of a product of functions. It is based on the rule: \[ \int u \, dv = uv - \int v \, du \]
In the context of finding Fourier coefficients, this technique is invaluable. Taking the integral \( \int_0^{\frac{\pi}{2}} x \sin(nx) \,dx \) as an example:
This technique simplifies what could otherwise be complex calculations, providing manageable solutions.
In the context of finding Fourier coefficients, this technique is invaluable. Taking the integral \( \int_0^{\frac{\pi}{2}} x \sin(nx) \,dx \) as an example:
- Choose \( u = x \) so that \( du = dx \)
- Choose \( dv = \sin(nx) \, dx \), leading to \( v = -\frac{1}{n} \cos(nx) \)
This technique simplifies what could otherwise be complex calculations, providing manageable solutions.
Extracting Fourier Coefficients
Fourier coefficients are key to building a Fourier series, allowing a function to be expressed as a sum of sinusoidal functions. For odd functions, only the \( b_n \) coefficients (linked to sine terms) are non-zero.
Using our function, the work involves evaluating two integrals through integration by parts. Each results in specific \( b_n \) values that form a series.
Assembling these allows a description of \( \tilde{f}(x) \) as a convergent series:\[ \tilde{f}(x) = \sum_{n=1}^{\infty} b_n \sin(nx) \]This series captures the essence of \( \tilde{f}(x) \) over \([-\pi, \pi]\), crafted entirely from its sine wave components.
- The coefficients are calculated using:\[ b_n = \frac{2}{\pi} \int_0^{\pi} \tilde{f}(x) \sin\left(\frac{n\pi x}{\pi}\right) dx \]
Using our function, the work involves evaluating two integrals through integration by parts. Each results in specific \( b_n \) values that form a series.
Assembling these allows a description of \( \tilde{f}(x) \) as a convergent series:\[ \tilde{f}(x) = \sum_{n=1}^{\infty} b_n \sin(nx) \]This series captures the essence of \( \tilde{f}(x) \) over \([-\pi, \pi]\), crafted entirely from its sine wave components.