Dirac Delta Function: Definition & Samples

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The Dirac Delta Function is defined as a function that is zero everywhere except at zero, where it has an infinite amplitude, ensuring the area under the curve equals one. It can represent a sequence of samples, expressed mathematically as g_{\delta}(t)=∑g(nT)δ(t-nT). The amplitude of a scaled delta function, such as 0.4δ(t), raises questions about its interpretation. The delta function is more accurately described as a functional, acting on functions over intervals rather than as a standard function. Misunderstandings about its representation as an integral operator have led to confusion in its application and definition.
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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:

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

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

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
 
Here is a little puzzle from the book 100 Geometric Games by Pierre Berloquin. The side of a small square is one meter long and the side of a larger square one and a half meters long. One vertex of the large square is at the center of the small square. The side of the large square cuts two sides of the small square into one- third parts and two-thirds parts. What is the area where the squares overlap?

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