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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 \(\sum_{n=1,3,.}(results) = \pi/4\).

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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:
  • Set \(u = x\) and \(dv = \cos(nx)dx\). This means that \(du = dx\) and \(v = \frac{\sin(nx)}{n}\).
Applying these settings to integrate \( \int_{-\pi}^{\pi} x \cos(nx)dx \), we use integration by parts:
  • 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.
Thus, \(a_n\) coefficients are zero due to the properties of the definite integral of odd functions and symmetry over the interval from \(-\pi\) to \(\pi\).
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:
  • \(a_0 = 0\) and \(a_n = 0\) for all \(n\).
  • The non-zero coefficients are \(b_n = \frac{4}{n}\) for odd values of \(n\).
This simplifies the series to:
  • \[ f(x) = \sum_{n=1,3,5,...}^\infty \frac{4}{n} \sin(nx). \]

    • 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.

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Most popular questions from this chapter

A string, anchored at \(x=\pm L / 2\), has a fundamental vibration frequency of \(2 L / c\), where \(c\) is the speed of transverse waves on the string. It is pulled aside at its centre point by a distance \(y_{0}\) and released at time \(t=0 .\) Its subsequent motion can be described by the series $$ y(x, t)=\sum_{n=1}^{\infty} a_{n} \cos \frac{n \pi x}{L} \cos \frac{n \pi c t}{L} $$ Find a general expression for \(a_{n}\) and show that only odd harmonics of the fundamental frequency are present in the sound generated by the released string. By applying Parseval's theorem, find the sum \(S\) of the series \(\sum_{0}^{\infty}(2 m+1)^{-4}\).

Consider the function \(f(x)=\exp \left(-x^{2}\right)\) in the range \(0 \leq x \leq 1 .\) Show how it should be continued to give as its Fourier series a series (the actual form is not wanted) (a) with only cosine terms, (b) with only sine terms, (c) with period 1 and \((\mathrm{d})\) with period \(2 .\) Would there be any difference between the values of the last two series at (i) \(x=0\), (ii) \(x=1 ?\)

By finding a cosine Fourier series of period 2 for the function \(f(t)\) that takes the form \(f(t)=\cosh (t-1)\) in the range \(0 \leq t \leq 1\), prove that $$ \sum_{n=1}^{\infty} \frac{1}{n^{2} \pi^{2}+1}=\frac{1}{e^{2}-1} $$

Show that the Fourier series for \(|\sin \theta|\) in the range \(-\pi \leq \theta \leq \pi\) is given by $$ |\sin \theta|=\frac{2}{\pi}-\frac{4}{\pi} \sum_{m=1}^{\infty} \frac{\cos 2 m \theta}{4 m^{2}-1} $$ By setting \(\theta=0\) and \(\theta=\pi / 2\), deduce values for $$ \sum_{m=1}^{\infty} \frac{1}{4 m^{2}-1} \quad \text { and } \sum_{m=1}^{\infty} \frac{1}{16 m^{2}-1} $$

Consider the representation as a Fourier series of the displacement of a string lying in the interval \(0 \leq x \leq L\) and fixed at its ends, when it is pulled aside by \(y_{0}\) at the point \(x=L / 4\). Sketch the continuations for the region outside the interval that will (a) produce a series of period \(L\), (b) produce a series that is antisymmetric about \(x=0\), and (c) produce a series that will contain only cosine terms. (d) What are (i) the periods of the series in (b) and (c) and (ii) the value of the \({ }^{4} a_{0}\)-term' in (c)? (e) Show that a typical term of the series obtained in (b) is $$ \frac{32 y_{0}}{3 n^{2} \pi^{2}} \sin \frac{n \pi}{4} \sin \frac{n \pi x}{L} $$

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