What Is the Dirac Delta Function and Its Significance in Science?

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Discussion Overview

The discussion centers around the Dirac delta function, its properties, representations, and significance in mathematical and physical contexts. Participants explore its definition, the concept of limits of sequences of functions, and the distinction between functions and distributions.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant questions the origin of the identity involving the Dirac delta function and its application to continuous functions.
  • Another participant suggests a substitution method for dealing with Dirac delta functions in integrals.
  • A participant explains the sampling property of the Dirac delta function, noting its relationship with continuous functions and the area under its curve.
  • Concerns are raised about understanding the concept of limits of sequences of functions and whether such limits yield functions.
  • Several representations of the Dirac delta function are provided, prompting questions about the nature of these functions and their limits.
  • One participant clarifies that the Dirac delta function is not a function in the traditional sense but a distribution, which operates nicely within integrals.
  • There is a mention of the Dirac delta function being often referred to as the derivative of the Heaviside step function, which leads to further discussion on the nature of functions and distributions.

Areas of Agreement / Disagreement

Participants express varying levels of understanding regarding the Dirac delta function and its properties. There is no consensus on the nature of the Dirac delta function as a function versus a distribution, and the discussion remains unresolved regarding the implications of limits of sequences of functions.

Contextual Notes

Some participants express uncertainty about the definitions and properties of the Dirac delta function, particularly in relation to limits and the distinction between functions and distributions. The discussion highlights the complexity of these concepts without reaching definitive conclusions.

Cincinnatus
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I've recently come across this function in one of my science classes and am wondering were this identity comes from:
\displaystyle{\int{\delta(t-\tau)f(\tau)d\tau}=f(t)}
Where \delta(t) is the dirac delta function and f(t) is any (continuous?) function.
 
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You only know how to deal with dirac deltas of the form \int \delta(x) g(x) \, dx, right? Well, there is an obvious substitution to try...
 
Are you familiar with the properties of the Dirac delta function? This one is called the sampling property.
Its comes from the fact that for any continuous function f(t), the multiplication with the Dirac delta function yields
f(t) \delta (t-t_0) = f(t_0) \delta(t-t_0)

Also the area under the curve of the Dirac Delta function is 1.

\int_a^b f(t) \delta (t-t_0) dt = f(t_0) \int_a^b \delta (t-t_0) dt= f(t_0)

for a < t_0 < b
 
Actually, I don't know how to work with dirac deltas of any form...

My professor just did some hand-waving about taking the limit of a sequence of functions with one peak and defining this to be the dirac delta function. Then he quoted the two properties we needed and proceeded. (This was one of them)

Things I am not sure about:
1). What is meant by the "limit of a seqence of functions"?
2). How do we know this limit exists?
3). How do we know it is a function... is it a function?
 
Delta function is represented in several ways. For example

\delta(x) = \lim_{n \rightarrow \infty} \frac {\sin nx} {\pi x}
\delta(x) = \lim_{n \rightarrow \infty} \frac n {\sqrt\pi} \exp(-(nx)^2)

It looks like \delta(0)=\infty, but actually you can integrate this function -\infty \rightarrow \infty
 
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I know that the delta function can be represented in that way, my question is perhaps "what is special about those functions that causes their limit to be a function?"

Certainly it is not true in general that the limit of a sequence of functions would be a function. (consider the limit as n-->oo of f(x)=nx. This would be a "function" with a vertical line for a graph, i.e. not a function at all).
 
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Cincinnatus said:
I know that the delta function can be represented in that way, my question is perhaps "what is special about those functions that causes their limit to be a function?"


It isn't a function, at least in the sense of a map from R to R that you're used to. It is properly called a distribution, not a function. Think of it as an operator which when put inside an integral does something nice.

The problem is the odd way applied maths abuses the word function, not in your understanding.

It is bizzarely often called the derivative of the Heaviside step function which at least is a function though not a differentiable one (0 for x<=0, 1 for x>0)
 
matt grime said:
It is bizzarely often called the derivative of the Heaviside step function which at least is a function though not a differentiable one (0 for x<=0, 1 for x>0)

There is a natural injection from the space of functions that can be integrated against test functions [**] into the space of distributions. When considered as distributions, the derivative of the Heaviside step function is the Dirac distribution.

[**] This is the inspiration for the fictional, but extremely useful, integral notation for the Dirac distribution.

Regards,
George
 

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