Checking Fourier Series Quickly - Best Way?

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Discussion Overview

The discussion revolves around methods for quickly verifying the correctness of calculated Fourier series, particularly in the context of introductory courses. Participants explore the convergence of series and the relationship between functions and their Fourier series representations.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • Some participants suggest using online resources, such as Wolfram, to find known Fourier series for comparison.
  • One participant argues that there is no quick method to verify the correctness of a Fourier series due to the existence of infinitely many functions corresponding to the same series.
  • Another participant asserts that a converging Fourier series corresponds to one unique function, questioning the validity of this claim.
  • It is noted that even if a Fourier series converges, it does not necessarily equal the function it represents, referencing historical misunderstandings by Fourier himself.
  • Qualitative checks are proposed, such as examining the zeros of the series and ensuring even functions only involve cosine terms while odd functions only involve sine terms.
  • Participants discuss the importance of correctly calculating coefficients and suggest that mistakes in this area can lead to incorrect series.
  • One participant expresses a need for books that compile important Fourier series for exam preparation.
  • There is a mention of the distinction between different types of functions and their properties in relation to Fourier series, including discussions on measure theory and function spaces.

Areas of Agreement / Disagreement

Participants express differing views on the relationship between functions and their Fourier series, with some emphasizing the uniqueness of convergence while others highlight the existence of multiple functions sharing the same series. The discussion remains unresolved regarding the best methods for verification.

Contextual Notes

Limitations include the dependence on definitions of convergence and the nature of functions being discussed, as well as the mathematical nuances surrounding measure theory and function spaces.

Who May Find This Useful

This discussion may be of interest to students and educators in introductory courses on Fourier series, as well as those exploring the theoretical aspects of function representation in mathematics and physics.

broegger
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What is the best way to (quickly) check if a calculated Fourier series is the correct one?
 
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look it up on the internet. wolfram has i believe many such series for examination. there is no way to quickly check that any series is correct, and if you want I can give a very complicated explanation of that. The quick one runs: there are infinitely many functions that have the same series, how would you like to distinguish between them? But that probably requires you to know a lot more measure theory.
 
I'm only interested in the cases where the series _do_ converge. Now, a converging Fourier series corresponds to one and only one function (the one that it converges to), am I right (I'm probably not, I know :)?

My problem is this: Given a function and a series (which I calculate), how can I check that this series is the right one KNOWING that the series I am supposed to find DOES converge (uniform and/or pointwise). That is: what is the easiest way to check that a series converges against a given function?

Please remember that this is an introductory course...
 
A function is not equal to its Fourier series even if they do converge. This was a mistake even Fourier made. Any course that let's you think they are equal needs some revision.

The best way to make sure you have the correct series is not to make mistakes working out the coefficients, beyond that are you asking for something that I don't think exists since it would require you to know how to sum complicated things. You can make qualitative checks: does it have the right zeroes, if it's an even function is it only cos, odd only sin, is it correct when 'x=0'

or you can use the resources on the web and in your library, there are long lists of series that people have worked out, and there are certain ones that get frequently asked such as the saw tooth wave and the square wave, go find them and check there. i'd suggest wolfram, unless someone else has a definite link.

there may even be some computer packages that spew out Fourier series, but I've never had to use any (not cos I'm fantastic at Fourier series, but because I've never had to work out any difficult ones.)
 
Even functions should only involve cosine and odd functions only sine - that's obvious, but I never thought of it, thanks (great, since we're often dealing with even or odd functions).

Do you know any good books that contain a list of important Fourier series. I've heard of something called Schaums Mathematical Tables or something, but I don't know if it's has any Fourier series in it (I know that many series can be found at mathworld.com, but I would like it in book-form for use in the written exam)...

Thanks for taking the time.
 
Last edited:
If in doubt google for the words you're interested in and add in wolfram. this gives:

http://mathworld.wolfram.com/FourierSeries.html

about 2/3rds of the way down is a table with three series in and a reference to books that give more.
 
matt grime said:
A function is not equal to its Fourier series even if they do converge. This was a mistake even Fourier made. Any course that let's you think they are equal needs some revision.

How so?

I don't understand.
 
Let's do it T^1 to R.

The function that is identically zero has the Fourier series all of whose coefficients are zero. As does any function which is zero except on a set of measure zero. Thus there are an uncountable number of functions that all have the same Fourier series and are pairwise distinct. It is a simple consequence of the fact that

[tex]\int_{\mathbb{T}}|f|dx = 0[/tex]

does not imply that f is identically zero.
 
But that's only under special circumstances, right?
 
  • #10
What do you mean special? If you check you'll find that the kinds of functions you think are not special are in fact very special: continuous ones. Mathematically speaking these are not necessarily the norm in l^2, if you'll forgive the pun.
 
  • #11
I studied physics, that's what i mean ;) .

In physics we start all problems with "let f be a well behaved function..."

Fourier series (generalized, not only trig) are very important for most physics problems, so when you said "a function is not equal to its Fourier series even if they do converge" you scared me.

I should have know you were talking about some mathematical aberration (lol, no offence).
 
  • #12
For more information you should study the difference between

L^2 and l^2, one is the space of lesbegue square measurable functions on T, and the other is the set of square summable series. There is a link between them.
 

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