Are Fourier transforms unique?

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Discussion Overview

The discussion revolves around the uniqueness of Fourier transforms, specifically whether two functions that have the same Fourier transform must be equal for all real values. Participants explore the implications of the Fourier inversion theorem and the conditions under which functions can be considered equal.

Discussion Character

  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants question whether the equality of Fourier transforms implies that the original functions are equal everywhere, with one participant suggesting that they differ by a constant.
  • Another participant clarifies that having the same Fourier transform means the functions are equal "almost everywhere," except on a set of points with zero Lebesgue measure.
  • There is a discussion about the implications of setting k = 0, where one participant notes that this only indicates the functions have the same average value, not that they differ by a constant.
  • One participant emphasizes the importance of the inverse Fourier transform and its relationship to the original functions, stating that under certain conditions, the functions are equal almost everywhere.

Areas of Agreement / Disagreement

Participants express differing views on the implications of the Fourier transform equality, particularly regarding the conditions under which functions can be considered equal. There is no consensus on whether the functions must be equal everywhere or only almost everywhere.

Contextual Notes

Participants mention the need for functions to be "nice" for the inverse Fourier transform to exist and highlight the relevance of Lebesgue measure in discussing equality almost everywhere.

Who May Find This Useful

This discussion may be of interest to those studying Fourier analysis, mathematical analysis, or related fields in mathematics and engineering, particularly in understanding the properties of Fourier transforms and their implications for function equality.

pellman
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If

[tex]\int{g(x)e^{ikx}dx}=\int{h(x)e^{ikx}dx}[/tex]

for all real k, can I conclude that g(x) = h(x) for all real x?

If the answer is yes, please help me see it, if it is not too much trouble.
 
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By setting k = 0 you know they differ by a constant. Show that this constant is 0.
 
pellman said:
If

[tex]\int{g(x)e^{ikx}dx}=\int{h(x)e^{ikx}dx}[/tex]

for all real k, can I conclude that g(x) = h(x) for all real x?

If the answer is yes, please help me see it, if it is not too much trouble.

You have to rely on Fourier inversion theorem, that you can find in any book that talks about Fourier transforms. In general, two functions (square integrable) that have the same Fourier transform are equal "almost everywhere", that is, everywhere except on a set of points with zero Lesbegue measure.

Jarle said:
By setting k = 0 you know they differ by a constant. Show that this constant is 0.

For k = 0 you only know they have the same average value, not that they differ by a constant.
 
Petr Mugver said:
For k = 0 you only know they have the same average value, not that they differ by a constant.

My apologies, you are right of course.
 
Assuming the functions are nice, so that the inverse Fourier transform exists, then g(x)=f(x) almost everywhere. The expression for the inverse transform looks just like the expression for the transform except for a sign reversal in the exponent.

In other words, let H(t) be the Fourier transform of f(x) or g(x), then the inverse transform of H(t) (call it h(x)) equals f(x) (and g(x)) almost everywhere.
 
Petr Mugver said:
In general, two functions (square integrable) that have the same Fourier transform are equal "almost everywhere", that is, everywhere except on a set of points with zero Lesbegue measure


Thanks! I will have to read up on Lesbegue measure.
 

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