Fourier Mistake: Help Jenny Out

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SUMMARY

The discussion centers on the application of the Fourier transform, specifically addressing a mistake in the integration limits and assumptions made regarding the original function's behavior. Jenny's confusion about the Fourier transform's definition is clarified, with Bruce confirming the use of the cosine transform. The conversation highlights the integral results for the sine-cosine product and discusses the Fourier inversion theorem, which is relevant for piecewise smooth functions. Jenny successfully resolves her issue by referencing the theorem and related literature.

PREREQUISITES
  • Understanding of Fourier transforms and their definitions
  • Familiarity with cosine transforms and their applications
  • Knowledge of integral calculus, particularly improper integrals
  • Basic concepts of piecewise smooth functions in Fourier analysis
NEXT STEPS
  • Research the Fourier inversion theorem and its applications
  • Study the properties of cosine transforms in signal processing
  • Explore the implications of discontinuities in Fourier series
  • Examine the book "Fourier Analysis and its Applications" by Folland, G. B. for deeper insights
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Students and professionals in mathematics, particularly those focusing on Fourier analysis, signal processing engineers, and anyone seeking to understand the nuances of Fourier transforms and their applications in real-world scenarios.

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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