Fourier integral and Fourier Transform

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Discussion Overview

The discussion centers on the differences and relationships between the Fourier integral and the Fourier transform, exploring their definitions, applications, and the contexts in which they are used. It includes theoretical perspectives and mathematical reasoning.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • Some participants propose that the Fourier integral is the non-discrete analogue of a Fourier series, while the Fourier transform is a method for transforming signals between time (or spatial) and frequency domains.
  • One participant notes that the Fourier integral can be used to calculate the Fourier transform of a function, but it is only applicable to certain kinds of functions that are integrable.
  • Another participant explains that the Fourier transform can be defined for a broader class of functions, including those that are square-integrable but not integrable, and discusses the need for approximating such functions with a sequence of integrable functions.
  • It is mentioned that the Fourier transform can also be applied to distributions, which are generalized functions, and to other mathematical objects like groups.
  • One participant agrees that the Fourier integral serves as a method for calculating the Fourier transform and cautions that different definitions of the Fourier transform may lead to confusion.
  • A side question is raised about implementing Fast Fourier Transforms (FFTs) without using premade modules in programming.

Areas of Agreement / Disagreement

Participants generally agree that the Fourier integral is a method for calculating the Fourier transform, but there are differing views on the implications and applications of each concept. The discussion remains unresolved regarding the nuances of their definitions and uses.

Contextual Notes

Participants highlight limitations in the applicability of the Fourier integral based on the integrability of functions and the existence of sequences for defining the Fourier transform for certain classes of functions.

Jhenrique
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Which is the difference between the Fourier integral and Fourier transform? Or they are the same thing!?

Fourier integral:
image.png

 
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The Fourier integral is one way to calculate the Fourier transform of a function:
$$\hat{f}(\omega) = \int_{-\infty}^{\infty} f(x) e^{-i\omega x} dx$$
This definition only makes sense for certain kinds of functions. Since ##|f(x) e^{-i \omega x}| = |f(x)|##, the Fourier integral is defined if and only if ##|f|## is integrable. (In the case of Lebesgue integration, we say that ##f \in L^1##.)

But the Fourier transform can be defined for a larger class of functions, and even some objects that are not functions.

For example, we can define the Fourier transform of a function which is square-integrable but not integrable (i.e. ##f \in L^2 \setminus L^1##). To do this, we approximate ##f## by a sequence of functions ##f_n \in L^1 \cap L^2## and define ##\hat{f} = \lim \hat{f_n}##. Of course there are lot of details to check, such as the existence of such a sequence, and the fact that the limit does not depend on a particular choice for the sequence.

It is also possible to define the Fourier transform of certain types of distributions, which can be thought of as generalized functions. See here for example:

http://en.wikipedia.org/wiki/Fourier_transform#Tempered_distributions

We can also define a Fourier transform on other types of objects, such as groups (a special case of this is the discrete Fourier transform):

http://en.wikipedia.org/wiki/Fourier_transform_on_finite_groups

So, the Fourier transform is the more general concept, and the Fourier integral is how it is defined/computed in the case of integrable functions.
 
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^I agree. The Fourier integral is a method of calculating the Fourier transform. In many cases it is not useful to distinguish between the two. Be aware that there are different Fourier transforms and using a slightly different one can cause confusion.
 
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Is there a good way to make FFTs without premade modules in programming? Just an aside...
 

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