Fourier transform vs Inner product

Click For Summary

Discussion Overview

The discussion centers on the relationship between the Fourier transform and the inner product in the context of representing functions. Participants explore the implications of using these two methods to find coefficients of complex exponentials, addressing both periodic and aperiodic functions.

Discussion Character

  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant states that the complex exponential Fourier series form an orthonormal basis for the space of functions, allowing periodic functions to be represented with countably many elements and aperiodic functions with uncountably many elements.
  • Another participant requests clarification on the formulas being compared and the distinction between Fourier series and Fourier transforms, noting the existence of different conventions.
  • A third participant questions the assertion regarding the representation of aperiodic functions, suggesting that the basis consists of only countably many elements and inquiring if there is confusion between Fourier series and Fourier transforms.
  • Another participant agrees with the need for clarification and points out that an aperiodic function does not necessarily require uncountably many non-zero elements, providing an example to illustrate this point.

Areas of Agreement / Disagreement

Participants express uncertainty regarding the original post's claims, with no consensus reached on the distinctions between Fourier series and Fourier transforms or the implications for periodic versus aperiodic functions.

Contextual Notes

There are limitations in the discussion regarding the definitions of periodic and aperiodic functions, as well as the assumptions about the nature of the basis elements in the context of Fourier analysis.

Bipolarity
Messages
773
Reaction score
2
So the complex exponential Fourier series form an orthonormal basis for the space of functions. A periodic function can be represented with countably many elements from the basis, and an aperiodic function requires uncountably many elements.

Given a signal, we can find the coefficients of the exponentials in two ways:
1) Fourier transform
2) Inner product with that complex exponential

Though these two formulas are similar, they are not identical. So how could they both possibly give us the coefficient of a complex exponential?

Thanks!

BiP
 
Physics news on Phys.org
Can you please show the formulas you are comparing? There are several different conventions in use. Also, please clarify whether you are talking about Fourier series or Fourier transforms. You mentioned both.
 
[quotr]A periodic function can be represented with countably many elements from the basis, and an aperiodic function requires uncountably many elements.
[/quote]
What do have in mind? The basis has only a countable number of elements. Are you mixing Fourier series and Fourier transdforms?
 
an aperiodic function requires uncountably many elements.
But not necessarily uncountably many non-zero elements. For example ##\cos t + \cos \pi t##.

But I agree with the other posters, it's hard to figure out exactly what your OP is asking.
 

Similar threads

  • · Replies 43 ·
2
Replies
43
Views
8K
Replies
5
Views
2K
  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 2 ·
Replies
2
Views
5K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 3 ·
Replies
3
Views
2K