Each of the functions is given over one period. For each function, sketch several periods and decide whether it is even or odd. Then use (9.4) or (9.5) to expand it in an appropriate Fourier series. $$ f(x)=\left\\{\begin{array}{rr} -1, & -l

Short Answer

Expert verified
\( f(x) \) is odd; its Fourier series is \( f(x) = \sum_{n=1, 3, 5}^{\text{∞}} \frac{4}{nπ}\text {sin}\left( \frac{nπx}{l} \right) \)

Step by step solution

01

Sketch Several Periods

First, sketch the given piecewise function over a single period $$ f(x)=\left\{\begin{array}{rr} -1 & -l<x<0 \ 1 & 0<x<l \ \end{array}\right. $$ Now extend this to several periods to observe its overall behavior.
02

Determine if the Function is Even or Odd

A function is even if \( f(-x) = f(x) \) and odd if \( f(-x) = -f(x) \). In this case, \( f(-x) = -f(x) \), so the function is odd.
03

Choose Appropriate Fourier Series Expression

Since the function is odd, use the sine series expansion (9.4): \[ f(x) = \sum_{n=1}^{\text{∞}}b_n\text{sin}\frac{nπx}{l} \]
04

Find Fourier Coefficients

To find the coefficient \( b_n \) use the formula: \[ b_n = \frac{2}{l}\int_{0}^{l}f(x)sin\frac{nπx}{l}dx \] Here, we must compute the integrals for the two pieces: \[ b_n = \frac{2}{l}\int_{0}^{l} f(x)\text{sin}\left(\frac{nπx}{l}\right) dx = \frac{2}{l}\left[ \int_{0}^{l} (1) \text{sin}\left(\frac{nπx}{l}\right) dx + \int_{-l}^{0} (-1) \text{sin}\left(\frac{nπx}{l}\right) dx\right] \] By symmetry and periodicity:
05

Evaluate the Integrals

Compute the integrals: \[ b_n = \frac{2}{l} \int_{0}^{l} \text{sin}\left(\frac{nπx}{l}\right) dx=\frac{2}{l} \left[ -\frac{l}{nπ} cos\left( \frac{nπx}{l}\right) \right]_{0}^{l} \] \[ = \frac{2}{l} \left( -\frac{l}{nπ} (cos(nπ) - cos(0)) \right) = \frac{2}{l}\left( -\frac{l}{nπ} (-1-1) \right)= \frac{4}{nπ} \]
06

Write the Complete Fourier Series

Combine the coefficients to form the final solution: \( f(x) = \sum_{n=1, 3, 5}^{\text{∞}} \frac{4}{nπ} \text{sin}\left( \frac{nπx}{l} \right) \). This is the Fourier sine series expansion for the given function.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Fourier Coefficients
To understand Fourier series, it's crucial to learn about Fourier coefficients. These coefficients, denoted as \(a_n\) and \(b_n\), represent the weights for each term in the series. They determine how much of each sine and cosine function is needed to approximate the original function. For our piecewise function, since it is an odd function, we only need to calculate the sine coefficients \(b_n\). The formula for calculating \(b_n\) is given by:

\[ b_n = \frac{2}{l} \int_{0}^{l} f(x)\text{sin} \left(\frac{n\pi x}{l} \right) dx\]

This integral essentially breaks down the function into its sine components by integrating over one period of the function.
Piecewise Functions
Piecewise functions are those defined by different expressions depending on the interval of the input variable. In our problem, the function \(f(x)\) is defined differently on two segments:

\(f(x) =\)\[\begin{array}{rr}-1 & -lUnderstanding piecewise functions is important as it allows us to break down complex functions into simpler segments, making them easier to analyze.
Even and Odd Functions
A function is even if it remains unchanged when we replace \(x\) with \(-x\), mathematically: \[ f(-x) = f(x) \]. Conversely, a function is odd if flipping the sign of \(x\) flips the sign of the function, i.e., \[ f(-x) = -f(x) \]. For our example, the function is odd because: \( f(-x) = -f(x) \). Recognizing this property can simplify the computation of Fourier series. For odd functions, we use the Fourier sine series, and for even ones, we use the cosine series.
Sine Series Expansion
When a function is odd, its Fourier series representation only involves sine terms. This is because sine functions are themselves odd functions. For the given problem, we use the sine series expansion formula:

\[ f(x) = \sum_{n=1}^{\text{∞}} b_n \text{sin}\left( \frac{n\pi x}{l} \right) \].

In this series, the coefficients \(b_n = \frac{4}{n\pi}\) represent the contributions of the sine functions to the shape of the original function. By summing these terms, we can represent the original function as a series of sines.

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Most popular questions from this chapter

A periodic amplitude modulated (AM) radio signal has the form $$ y=(A+B \sin 2 \pi f t) \sin 2 \pi f_{c}\left(t-\frac{x}{v}\right) $$ The factor \(\sin 2 \pi f_{c}(t-x / v)\) is called the carrier wave; it has a very high frequency (called radio frequency; \(f_{\epsilon}\) is of the order of \(10^{6}\) cycles per second). The amplitude of the carrier wave is \((A+B \sin 2 \pi f t)\). This amplitude varies with time-hence the term "amplitude modulation"..-with the much smaller frequency of the sound being transmitted (called audio frequency; \(f\) is of the order of \(10^{2}\) cycles per second). In order to see the general appearance of such a wave, use the following simple but unrealistic data to sketch a graph of \(y\) as a function of \(t\) for \(x=0\) over one period of the amplitude function: \(A=3, B=1, f=1\), \(f_{c}=20 .\) Using trigonometric formulas, show that \(y\) can be written as a sum of three waves of frequencies \(f_{c}, f_{c}+f\), and \(f_{c}-f ;\) the first of these is the carrier wave and the other two are called side bands.

You are given a complex function \(z=f(t) .\) In each case, show that a particle wose coordinate is (a) \(x=\operatorname{Re} z\), (b) \(y=\operatorname{Im} z\) is undergoing simple harmonic motion, and find the amplitude, period, frequency, and velocity amplitude of the motion. $$ z=2 e^{-i t / 2} $$

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A general form of Parseval's theorem says that if two functions are expanded in Fourie? series $$ \begin{aligned} &f(x)=\frac{1}{2} a_{0}+\sum_{1}^{x} a_{n} \cos n x+\sum_{1}^{\infty} b_{n} \sin n x \\ &g(x)=\frac{1}{2} a_{0}^{\prime}+\sum_{1}^{\infty} a_{n}^{\prime} \cos n x+\sum_{i}^{\infty} b_{n}^{\prime} \sin n x \end{aligned} $$ then the average value of \(f(x) g(x)\) is \(\frac{1}{4} a_{0} a_{0}^{\prime}+\frac{1}{2} \sum_{1}^{\infty} a_{n} a_{n}^{\prime}+\frac{1}{2} \sum_{1}^{\infty} b_{n} b_{n}^{\prime}\). Prove this.

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