Distributions on non-test functions

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Discussion Overview

The discussion revolves around the definitions and properties of distributions in mathematics, particularly focusing on the application of distributions like the Dirac delta function to non-test functions. Participants explore the implications of using functions that do not have compact support in the context of distributions, questioning whether this practice is valid and what assumptions are involved.

Discussion Character

  • Exploratory
  • Debate/contested
  • Technical explanation

Main Points Raised

  • One participant notes that distributions are typically defined to act on test functions with compact support, raising a question about the validity of applying the Dirac delta function to a function like ##\phi(x) = x^2##, which is not compactly supported.
  • Another participant argues that as long as the integral is evaluated over a finite interval containing the delta function, it is acceptable to extend the application to non-compactly supported functions.
  • A participant expresses uncertainty about their understanding, suggesting that while it may be acceptable for the delta distribution to act on non-test functions, this raises questions about the generality of the principle.
  • One participant clarifies that while test functions have compact support, there are other classes of functions, such as the set of all smooth functions, which can also be used in defining distributions, indicating that the support of the distribution itself can be compact.

Areas of Agreement / Disagreement

Participants do not reach a consensus on whether it is appropriate to apply distributions to non-test functions. There are competing views regarding the implications of using non-compactly supported functions in this context.

Contextual Notes

The discussion highlights the limitations and assumptions regarding the definitions of distributions and the nature of test functions, particularly concerning the support of functions involved in the application of distributions.

pellman
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The definitions of distributions that I have seen (for instance https://en.wikipedia.org/wiki/Distribution_(mathematics)#Distributions ) define a distribution as a map whose domain is a set of test functions. A defining quality of test functions is that they have compact support, which for most practical purposes means they are non-zero on only a finite interval (or intervals).

So why then are we comfortable writing something like ## \int^{\infty}_{-\infty} \delta(x-a) x^2 dx = a^2 ##? In the language of distributions this would be ## \delta_a(\phi) = a^2 ## where ## \phi(x) = x^2 ##. If we mean that ## \phi(x) = x^2 ## for all real x, is this a problem?

Is there an applied assumption here that we don't mean ## \phi(x) = x^2 ## on the entire real line but only on some compact subspace? If so, is this potentially a problem in physics which often deals with functions whose domain is explicitly infinite? I have never seen anyone applying the Dirac delta function have any concern that the function applied to is of compact support.
 
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Not a problem as long as you know what you are doing. In example the integral is a^2 for all finite intervals containing the delta function, so passing to the limit is O.K.
 
Lol. But I don't know what I'm doing.

I'm guessing that for the specific case of the delta distribution that it is fine to act on functions which are not of compact support even though distributions in general are only defined to act on test functions. Is this the case?
 
pellman said:
A defining quality of test functions is that they have compact support, which for most practical purposes means they are non-zero on only a finite interval (or intervals).

The set of compact supported smooth functions is one class of test functions, denoted ##\mathcal{D}##. There are other classes including ##\mathcal{E}## which is the set of all smooth functions, and Dirac is defined as a functional of this space. Importantly, the distributions defined on ##\mathcal{E}## are characterized as those distributions with compact support (note I'm talking about the support of the distribution being compact, not the test function).
 
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Thanks, pwsnafu.
 

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