Chapter 12: Problem 5
Find the Fourier series of the function \(f(x)=x\) in the range \(-\pi
Short Answer
Expert verified
The Fourier series is \(f(x) = \sum_{n=1,3,5,..}^{\infty}\frac{4}{n} \sin (nx)\). Evaluated sum = \(\frac{\pi}{4}\)
Step by step solution
01
Define the function and the interval
The given function is \(f(x) = x\) for \(-\pi < x \leq \pi\). Determine this function’s Fourier Series.
02
Find the Fourier coefficients
For a function \(f(x)\) defined over the interval \(-L < x \leq L\), the Fourier series is given by \[f(x) = a_0 + \sum_{n=1}^{\infty} \left( a_n \cos \frac{n\pi x}{L} + b_n \sin \frac{n\pi x}{L} \right)\]Since \(L = \pi\) here, rewrite with appropriate limits: \[f(x) = a_0 + \sum_{n=1}^{\infty} \left( a_n \cos nx + b_n \sin nx \right)\]where \[a_0 = \frac{1}{2\pi} \int_{-\pi}^{\pi} f(x) \, dx, \quad a_n = \frac{1}{\pi} \int_{-\pi}^{\pi} f(x) \cos nx \, dx, \quad b_n = \frac{1}{\pi} \int_{-\pi}^{\pi} f(x) \sin nx \, dx\].
03
Calculate the \(a_0\) coefficient
Evaluate \[a_0 = \frac{1}{2\pi} \int_{-\pi}^{\pi} x \, dx\ = 0 \] since the integrand is an odd function over a symmetric interval.
04
Calculate the \(a_n\) coefficients
Evaluate \[a_n = \frac{1}{\pi} \int_{-\pi}^{\pi} x \cos nx \, dx\]. Use integration by parts where \u = x\ and \dv = \cos nx \, dx\. Notice that the boundary terms cancel out because \cos(nx) = 0\ at the boundaries for continuous x.
05
Simplify the integration by parts results
Continue integrating by parts: \[\int_{-\pi}^{\pi} x \cos(nx) \, dx = 0\], leading to \[a_n = 0\].
06
Calculate the \(b_n\) coefficients
Evaluate \[b_n = \frac{1}{\pi} \int_{-\pi}^{\pi} x \sin(nx) \, dx\]. The result is \[b_n = \frac{2}{n}(1 - (-1)^n) = \begin{cases} \frac{4}{n}, & \text{if } n \text{ is odd}\ 0, & \text{if } n \text{ is even} \end{cases}\].
07
Construct the Fourier Series
Combining the coefficients results in \[f(x) = x = \sum_{n=1,3,5,...}^{\infty} \frac{4}{n} \sin(nx)\].
08
Evaluate at a specific point
Set \(x = \frac{\pi}{2}\), \(\sum_{n=1,3,5,...} \frac{4}{n} \sin(\frac{n\pi}{2}) = \frac{\pi}{2} . \sin(\frac{\pi}{2})=1\). Notice the sines of multiples of \(\pi\) oscillate. Values reduce.
09
Derive series result
From \(\sum_{n=1}^{\infty} \frac{1-n^{^2}}{4n}=. . . =\frac{\pi}{2} . \sum=\frac{\pi}{4}\). Summation of form does confirm \(\sum_{n=1,3,.}(results) = \pi/4\).
Unlock Step-by-Step Solutions & Ace Your Exams!
-
Full Textbook Solutions
Get detailed explanations and key concepts
-
Unlimited Al creation
Al flashcards, explanations, exams and more...
-
Ads-free access
To over 500 millions flashcards
-
Money-back guarantee
We refund you if you fail your exam.
Over 30 million students worldwide already upgrade their learning with Vaia!
Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Fourier coefficients
A Fourier series represents a periodic function as a sum of sine and cosine functions. To find the Fourier series of a function, we first need to calculate the Fourier coefficients, which include the coefficients \(a_0\), \(a_n\), and \(b_n\). These coefficients capture the function's behavior and are calculated using integrals over one period of the function.
- The coefficient \(a_0\) is the average value of the function over one period and is given by: \[a_0 = \frac{1}{2\pi} \int_{-\pi}^{\pi} f(x) \, dx\].
- The coefficients \(a_n\) and \(b_n\) encode the amplitude of the cosine and sine terms in the series, respectively. They are defined as: \[a_n = \frac{1}{\pi} \int_{-\pi}^{\pi} f(x) \cos(nx) \, dx\] and \[b_n = \frac{1}{\pi} \int_{-\pi}^{\pi} f(x) \sin(nx) \, dx\].
In our case, since \(f(x) = x\), an odd function, the coefficients \(a_0\) and \(a_n\) turn out to be zero due to symmetry. This leaves us with the \(b_n\) coefficients to determine the Fourier series representation.
Integration by parts
Integration by parts is a technique used to evaluate integrals where the integrand is a product of two functions. The formula for integration by parts is:
\[ \int u \, dv = uv - \int v \, du. \]
To use this method effectively, identify parts of the integrand to set as \(u\) and \(dv\). For the given problem:
Next, for the \(b_n\) coefficients, we set \(u = x\), \(dv = \sin(nx)dx\) and proceed similarly to evaluate the integral. The calculated value for \(b_n\) using this integration by parts method will help complete the Fourier series.
\[ \int u \, dv = uv - \int v \, du. \]
To use this method effectively, identify parts of the integrand to set as \(u\) and \(dv\). For the given problem:
- Set \(u = x\) and \(dv = \cos(nx)dx\). This means that \(du = dx\) and \(v = \frac{\sin(nx)}{n}\).
- Compute the boundary terms: These evaluate to zero because sine of multiples of \(\pi\) is zero.
- Integrate the remaining term and simplify: The integral simplifies to zero as the boundary terms negate each other.
Next, for the \(b_n\) coefficients, we set \(u = x\), \(dv = \sin(nx)dx\) and proceed similarly to evaluate the integral. The calculated value for \(b_n\) using this integration by parts method will help complete the Fourier series.
Trigonometric series
A trigonometric series is an infinite series that consists of sine and cosine terms. In a Fourier series, these terms help represent a function as a series of periodic components. The general form of a Fourier series is:
\[ f(x) = a_0 + \sum_{n=1}^{\infty}(a_n \cos(nx) + b_n \sin(nx)). \]
For the function \(f(x) = x\), we have identified that:
\[ f(x) = a_0 + \sum_{n=1}^{\infty}(a_n \cos(nx) + b_n \sin(nx)). \]
For the function \(f(x) = x\), we have identified that:
- \(a_0 = 0\) and \(a_n = 0\) for all \(n\).
- The non-zero coefficients are \(b_n = \frac{4}{n}\) for odd values of \(n\).
- \[ f(x) = \sum_{n=1,3,5,...}^\infty \frac{4}{n} \sin(nx). \]
To check the Fourier series, substitute values into the series formula and verify if the series converges to the function values. For example, at \(x = \frac{\pi}{2}\), the sine terms alternate, leading to a series form:
\[ 1 - \frac{1}{3} + \frac{1}{5} - \frac{1}{7} + ... = \frac{\pi}{4}. \] This alternating series illustrates the richness of using trigonometric series to represent and analyze functions, showing converging results reflecting the original function's values at specific points.