Sifting Property of the Impulse Function

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Homework Help Overview

The discussion revolves around the sifting property of the Dirac delta function, particularly its role in isolating values of functions at specific points. Participants explore the implications of this property in mathematical contexts, questioning its usefulness compared to direct substitution.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the definition and implications of the sifting property, questioning how it compares to direct evaluation of functions. They explore scenarios where the delta function might simplify mathematical expressions, particularly in probability theory.

Discussion Status

The conversation is ongoing, with participants providing examples and clarifications regarding the application of the delta function in integrals. Some express understanding of the property, while others seek further clarification on its practical usefulness in various mathematical manipulations.

Contextual Notes

Participants are examining the relationship between the sifting property and its applications in probability distributions, particularly in the context of independent random variables. There is a focus on the conditions under which the delta function is advantageous in simplifying expressions.

El Moriana
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1. The problem
I have a problem grasping what the point of the sifting property of the Dirac function is.
It isolates the value at a point in a function, right?
Doesn't just substituting that point into the function do exactly the same thing?

Homework Equations



Sifting poperty:
if f(t) is continuous at t=a then

\int_{-∞}^∞f(t)δ(t-a)dt= f(a)

from: Glyn James, Advanced Modern Engineering Mathematics (3rd Ed), Section 2.5, p.155
 
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so based on the properties of the delta function you know
\int \delta (x) dx = 1

A handwaving explanation is that if f is continuous and if you zoom in on a small enough region (x-\epsilon, x+\epsilon), then f(x) will be close to constant on this region.

The delta function zero everywhere except at x=a and the integral evaluates to exactly the value of the function at the point x=a
\int f(x)\delta (x-a) dx = f(a)

It is the same as substituting into the function for f(a), and this is exactly what the inequality tells you. It is a useful propperty of the delta function for various mathematical manipulations
 
First of all, thanks for the reply.

I understand how the shifting property works and how it equates to the function at point x=a.

What I don't see are the "various mathematical manipulations", its usefulness.
Under what circumstances does it make life simpler to write \int f(t)δ(t-a)dt than simply f(a)?
 
Hows your probability? one that springs to mind is as follows...

say you have two independent random variables X & Y, with joint pdf p_{X,Y}(x,y) = p_{X}(x)p_{Y}(y)

And say you want to find the probability distirbution for Z= X+Y [\itex]<br /> <br /> Well p(z) will only have contibutions when z= x+y, or z-x-y=0, so you can write <br /> p_{Z}(z) = \int \int p_{X}(x)p_{Y}(y) \delta(z-x-y)dxdy<br /> p_{Z}(z) = \int \int p_{X}(x)p_{Y}(z-x) dx<br /> <br /> which shows the distribution of the sum of two RVs is given by the convolution of their distributions
 
El Moriana said:
Under what circumstances does it make life simpler to write \int f(t)δ(t-a)dt than simply f(a)?

In fact its almost the opposite, in that if you end up with an integral with a delta function in it, you can use the above fact to simplify the expression
 
I'm starting to get it. Though, looking at it, would your example not result in:

p_{Z}(z) = \int p_{X}(x)p_{Y}(x-z) dx

due to the sign of the y and the one integral being cancelled?

I take it you would also be able to use this to eliminate the integral w.r.t x if it turns out to be more convenient?

p_{Z}(z) = \int p_{Y}(y)p_{X}(y-z) dy
 
Not quite you can only use it in this case because you only want contributions from where z=x+y. When integrating over y, this occurs when y=z-x in the delta function.
 

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