Solving Fourier Problems: A Primer on the Piecewise Function f(x)

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Homework Help Overview

The discussion revolves around solving Fourier problems, specifically focusing on a piecewise function defined over the interval from -π to π. The original poster presents their work on calculating Fourier coefficients and expresses uncertainty regarding the resulting series and the nature of the function.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • The original poster attempts to compute Fourier coefficients using integration by parts and expresses confusion about the resulting series, particularly regarding the behavior of the a_n terms. They also question the visual representation of the function as a sawtooth wave.
  • Another participant provides an example of a piecewise function in LaTeX, indicating a focus on formatting and representation.
  • Further discussion includes confusion about Dirichlet's theorem and its implications for convergence at points of discontinuity, with participants exploring the concept of averaging limits from both sides of a discontinuity.

Discussion Status

The discussion is ongoing, with participants sharing insights and clarifications about Fourier series and convergence. Some guidance has been offered regarding Dirichlet's theorem and its application, but there is no explicit consensus on the original poster's questions or the nature of the function.

Contextual Notes

Participants are navigating the complexities of Fourier analysis, including the interpretation of series convergence and the implications of piecewise functions. There is an acknowledgment of potential misunderstandings regarding the behavior of the Fourier series at discontinuities.

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I was going through trying to solve various Fourier problems, and I came across this one.

[tex]f(x) = \left\{\begin{array} {c}0 \ \ \mbox{for} \ \ - \pi <x<0 & x \ \ \mbox{for} \ \ 0<x<\pi[/tex]

Here is how far I have gotten, using that
[tex]a_n = \frac{1}{\pi} \int_{- \pi}^{\pi} xcosnx dx[/tex]
and
[tex]b_n = \frac{1}{\pi} \int_{- \pi}^{\pi} xsinnx dx[/tex]
arriving at

[tex]f(x) = \frac{\pi}{4} + (sinx - \frac{sin2x}{2} + \frac{sin3x}{3}- ...) + (unknown)[/tex]

So, I figured out the "b" terms, and the initial "a" term was easy, but here is where I have a few doubts; hence, the "unknown." For values when the b term is not zero, I found the integration by parts to be

[tex]\frac{1}{\pi}([\frac{x}{n}sinnx]^{\pi}_{0} + \frac{1}{n}\int^{\pi}_{0}sinnx dx)[/tex] (1)

I know that the integral will come out to give

[tex]2(cosx+\frac{cos3x}{3^2} + \frac{cos5x}{5^2} + ...)[/tex]

and the first term in the parts equation (1) will always be zero

So, then I think the answer will be

[tex]f(x) = \frac{\pi}{4} + (sinx - \frac{sin2x}{2} + \frac{sin3x}{3}- ...) + \frac{2}{\pi}(cosx+\frac{cos3x}{3^2} + \frac{cos5x}{5^2} + ...)[/tex]

But, it just seems a little strange that a_n terms go by squares. Fourier analysis is new to me, and so I can't really gauge how certain functions look like.

Also, the other thing I wanted to double check on was how the function looked; this is a sawtooth, right?

P.S.
Does anybody know the piecewise function command for LaTeX? I thought it was \cases.
P.S.S
Thanks, hopefully the formatting is better now.
 
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u mean like this?

[tex]|ax|=\left\{ \begin{array} {c} -ax \ \ \mbox{for} \ \ ax<0 & +ax \ \ \mbox{for} \ \ ax\geq 0 \end{array}[/tex]
 
Last edited:
Another thing I am confused about is Dirichlet's theorem. An example I was looking at said that

[tex]f(x) = \frac{1}{4} + \frac{1}{\pi}(\frac{cosx}{1} - \frac{cos3x}{3} + \frac{cos5x}{5} ...) + \frac{1}{\pi}(\frac{sinx}{1} - \frac{2sin2x}{2} + \frac{sin3x}{3} + \frac{sin5x}{5} - \frac{2sin6x}{6} ...)[/tex]
converges to 1/2 at x=0.

I can't see how the equation converges to that value. The Fourier series is some sort of pulse train, right? I have a guess, but it doesn't much sense in general. Approaching zero from the left the value will be one, and approaching from the right it will be zero, so take the average?
 
Dirichlet's thm gives a weak conditon for convergence and says that when the series converges, it does so to the average value of the limit of the "generating function"* from the right and the limit from the left. This is useful when you want to know to which value does the Fourier series converges at points where there is a pointwise discontinuity.

*the function that we're considering the Fourier series of.
 
the moral of the story is that you only have to look at the generating function to know what its associated Fourier series converges to. you were looking at the series itself.
 

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