Finding the Fourier cosine series for ##f(x)=x^2##

  • #1
chwala
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Homework Statement
See attached.
Relevant Equations
Fourier cosine series
I was just going through my old notes on this i.e

1699522218550.png
The concept is straight forward- only challenge phew :cool: is the integration bit...took me round and round a little bit... that is for ##A_n## part.

My working pretty ok i.e we shall realize the text solution. Kindly find my own working below.

1699522329913.png
Now to my question supposing we have to find say Fourier cosine series for ##f(x)= x^7##. The integration by parts here will take like forever to do. Do we have software for this? Will Wolfram help?
 
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  • #2
chwala said:
Will Wolfram help?
Pretty easy to check for yourself :wink: . Let us know !

##\ ##
 
  • #3
BvU said:
Pretty easy to check for yourself :wink: . Let us know !

##\ ##
Will do check @BvU ... however, if one was to do this by hand ... No technology...how long would it take to work to solution?
 
  • #4
The ##f(x)= x^7## is odd. Perhaps Fourier sine series rather than cosine?
 
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  • #5
chwala said:
Now to my question supposing we have to find say Fourier cosine series for ##f(x)= x^7##. The integration by parts here will take like forever to do. Do we have software for this? Will Wolfram help?

Set [tex]I_n = \int_0^{2\pi} x^{2n+1} \sin kx\,dx, \qquad k = 1, 2, \dots.[/tex] so that integrating by parts twice, [tex]
I_n = - \frac{(2n+1)(2n)}{k^2}I_{n-1} - \frac{(2\pi)^{2n+1}}{k}.[/tex] This recurrence relation can be solved subject to the initial condition [itex]I_0 = -\frac{2\pi}{k}[/itex] to obtain [tex]
I_N = \frac{(2N + 1)!(-1)^N}{k^{2N}} \frac{2\pi}{k}\sum_{n=0}^N \frac{(-1)^{n+1}(2\pi k)^{2n}}{(2n+1)!}.[/tex]
 
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FAQ: Finding the Fourier cosine series for ##f(x)=x^2##

What is the formula for the Fourier cosine series?

The Fourier cosine series for a function \( f(x) \) defined on the interval \([0, L]\) is given by:\[ f(x) \sim \frac{a_0}{2} + \sum_{n=1}^{\infty} a_n \cos\left(\frac{n \pi x}{L}\right) \]where the coefficients \( a_n \) are calculated using:\[ a_n = \frac{2}{L} \int_0^L f(x) \cos\left(\frac{n \pi x}{L}\right) \, dx \]for \( n \geq 0 \).

How do you find the coefficient \( a_0 \) for \( f(x) = x^2 \) on the interval \([0, \pi]\)?

The coefficient \( a_0 \) is found by:\[ a_0 = \frac{2}{\pi} \int_0^{\pi} x^2 \, dx \]Evaluating the integral:\[ a_0 = \frac{2}{\pi} \left[ \frac{x^3}{3} \right]_0^{\pi} = \frac{2}{\pi} \cdot \frac{\pi^3}{3} = \frac{2 \pi^2}{3} \]Thus, \( a_0 = \frac{2 \pi^2}{3} \).

How do you find the coefficients \( a_n \) for \( f(x) = x^2 \) on the interval \([0, \pi]\)?

The coefficients \( a_n \) for \( n \geq 1 \) are found by:\[ a_n = \frac{2}{\pi} \int_0^{\pi} x^2 \cos\left(\frac{n \pi x}{\pi}\right) \, dx = \frac{2}{\pi} \int_0^{\pi} x^2 \cos(nx) \, dx \]This integral can be evaluated using integration by parts twice. The result is:\[ a_n = \frac{4(-1)^n}{n^2} \]for \( n \geq 1 \).

What is the importance of the Fourier cosine series?

The Fourier cosine series is important because it allows us to represent a function as a sum of cosines, which can simplify the analysis and solution of differential equations, signal processing, and other applications in physics and engineering. It is particularly useful for functions defined on a finite interval and symmetric about the y-axis.

Can you provide

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