Dirac Delta Function: Definition & Samples

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SUMMARY

The Dirac Delta Function is defined as a function that has an amplitude of zero everywhere except at zero, where it is infinitely large, ensuring the area under the curve equals unity. It can be represented as a series of samples, specifically as g_{\delta}(t)=\sum_{n=-\infty}^{\infty}g(nT)\,\delta(t-nT). The function is more accurately described as a functional, depending on two variables: a set of functions on R and an interval of R. This definition allows for the evaluation of D(f,I) based on whether zero is included in the interval I.

PREREQUISITES
  • Understanding of functional analysis and distributions
  • Familiarity with the properties of the Dirac Delta Function
  • Knowledge of integral operators and their applications
  • Basic concepts of sampling theory in signal processing
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  • Explore the mathematical properties of distributions in functional analysis
  • Learn about the applications of the Dirac Delta Function in signal processing
  • Study the representation of the Dirac Delta Function as a limit of spike functions
  • Investigate the implications of sampling theory on signal reconstruction
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Mathematicians, physicists, engineers, and anyone involved in signal processing or functional analysis will benefit from reading this discussion.

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Hello,

Dirac Delta Function is defined as the function that its amplitude is zero everywhere except at zero where its amplitude is infinitely large such that the area under the curve is unity.

Sometimes it is used to describe a function consists of a sequence of samples such as:

[tex]g_{\delta}(t)=\sum_{n=-\infty}^{\infty}g(nT)\,\delta(t-nT)[/tex]

How this weighting affect the amplitude? I mean what is the amplitude of [tex]0.4\,\delta(t)[/tex]?

Regards
 
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Strictly speaking, the delta "function" can only be regarded as a proper function if we regard it as a function of two variables:

1. First variable:
its domain as a set of FUNCTIONS on R, rather than on R itself
2. Second variable:
An INTERVAL of R

The Dirac "function" thus defined is a functional, rather than a standard function.

Thus, given some function f(x), and an interval I lying within the domain of f, we have


D(f,I)=f(0), if 0 is in I
D(f,I)=0, if 0 is NOT in I

This definition makes D in what we call a distribution.

Note that for any f and I, it is utterly trivial to compute D's "values".


Unfortunately, this trivial sampling functional has gained notoriety by improper understanding of how it can be REPRESENTED in terms of an integral operator (typically, as the "limit" of spike functions)

To delve into these issues, you may look at my tutorial:
https://www.physicsforums.com/showthread.php?t=73447
 

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