Fourier Mistake: Help Jenny Out

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    Fourier Mistake
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Homework Help Overview

The discussion revolves around a problem related to Fourier transforms, specifically focusing on the application of the cosine transform and the implications of certain steps in the calculation. Participants are examining the correctness of assumptions made regarding the function's behavior and the definitions used in the Fourier transform context.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • Participants are questioning the validity of specific steps in the original poster's approach, particularly regarding the assumption that the function is zero outside a certain range. There are discussions about the definition of the Fourier transform being used and the implications of discontinuities in the context of Fourier series.

Discussion Status

The conversation is active, with participants providing insights and clarifications. Some have offered guidance on the definitions and theorems related to Fourier transforms, while others are exploring the implications of certain calculations and assumptions. There is a sense of progression as participants build on each other's contributions.

Contextual Notes

There are indications of confusion regarding the limits of integration and the specific definitions of the Fourier transform being utilized. Participants are also discussing the average value of the Fourier transform at a specific point, which suggests a deeper exploration of the properties of the transform.

jennyjones
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can someone spot my mistake, I'm stuck

thanks,

jenny
 

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I don't think step 3 is correct. the original function is not zero for |x| > a. But it looks like you assume that so that you can make the integral over this range, instead of from minus infinity to infinity. At least, that looks like what you had in mind...
 
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Also, what definition are you using for the Fourier transform? Because I get the feeling they have used a different convention.
 
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When ##\lvert\omega\rvert < a##, you have
$$\int_0^\infty \frac{\sin ax\cos \omega x}{x}\,dx = \frac{\pi}{2}.$$ When ##\lvert\omega\rvert > a##, you have
$$\int_0^\infty \frac{\sin ax\cos \omega x}{x}\,dx = 0.$$ Somehow, you have to figure out what happens when ##\lvert\omega\rvert = a##.
 
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bruce W I'm using the cosine transform, i made a picture of this formula for my textbook.

Vela, do you know if i can than say |ω|= (∏/2+0)/2=∏/4 ?

the average?
 

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Seems like it might, like the Fourier series does at discontinuities. Do you know of a theorem that establishes the same result for the Fourier transform?
 
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BruceW said:
I don't think step 3 is correct. the original function is not zero for |x| > a. But it looks like you assume that so that you can make the integral over this range, instead of from minus infinity to infinity. At least, that looks like what you had in mind...
Ah whoops, ignore this. I thought you wrote an ##a## for the upper limit, but it is an ##\infty##, as it should be.

jennyjones said:
bruce W I'm using the cosine transform, i made a picture of this formula for my textbook.
right. yes, you are using the same definition of the Fourier transform as they are. Which is good :)

jennyjones said:
Vela, do you know if i can than say |ω|= (∏/2+0)/2=∏/4 ?

the average?
I think you meant to say the average of the values of the Fourier transform on either side of the point ##\omega=a##. If this is what you meant, then yes that's right. Was it a guess? You have good intuition if it was. Yeah, there is a specific theorem (which is pretty hard to find on the internet), as vela is hinting at. This theorem works for certain kinds of function, like the rectangular function.
 
Yey! thank you, than i solve the problem now!

Do you maybe know the name of this theorem?

jenny
 
No worries :) I think wikipedia said it is a form of the Fourier inversion theorem. They didn't give a direct link for it though. It's on the wikipedia page "fourier inversion theorem", about halfway down under the subtitle "piecewise smooth; one dimension", if you are interested. It looks like the book "Fourier Analysis and its Applications" by Folland, G. B. might have some more information.
 

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