Sifting Property of the Impulse Function

In summary, the sifting property of the Dirac function allows for simplification of integrals involving the function at a specific point. This is useful in various mathematical manipulations, such as finding the probability distribution for the sum of two independent random variables. It also allows for elimination of integrals in certain cases, making calculations more convenient.
  • #1
El Moriana
33
0
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 [itex]f(t)[/itex] is continuous at [itex]t=a[/itex] then

[itex]\int_{-∞}^∞f(t)δ(t-a)dt= f(a)[/itex]

from: Glyn James, Advanced Modern Engineering Mathematics (3rd Ed), Section 2.5, p.155
 
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  • #2
so based on the properties of the delta function you know
[tex]\int \delta (x) dx = 1 [/tex]

A handwaving explanation is that if f is continuous and if you zoom in on a small enough region [itex] (x-\epsilon, x+\epsilon) [/itex], 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
[tex]\int f(x)\delta (x-a) dx = f(a) [/tex]

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
 
  • #3
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 [itex]\int f(t)δ(t-a)dt[/itex] than simply [itex]f(a)[/itex]?
 
  • #4
Hows your probability? one that springs to mind is as follows...

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

And say you want to find the probability distirbution for [itex] Z= X+Y [\itex]

Well p(z) will only have contibutions when z= x+y, or z-x-y=0, so you can write
[tex] p_{Z}(z) = \int \int p_{X}(x)p_{Y}(y) \delta(z-x-y)dxdy [/tex]
[tex] p_{Z}(z) = \int \int p_{X}(x)p_{Y}(z-x) dx [/tex]

which shows the distribution of the sum of two RVs is given by the convolution of their distributions
 
  • #5
El Moriana said:
Under what circumstances does it make life simpler to write [itex]\int f(t)δ(t-a)dt[/itex] than simply [itex]f(a)[/itex]?

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
 
  • #6
I'm starting to get it. Though, looking at it, would your example not result in:

[itex] p_{Z}(z) = \int p_{X}(x)p_{Y}(x-z) dx [/itex]

due to the sign of the [itex]y[/itex] and the one integral being cancelled?

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

[itex] p_{Z}(z) = \int p_{Y}(y)p_{X}(y-z) dy [/itex]
 
  • #7
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.
 

What is the sifting property of the impulse function?

The sifting property of the impulse function, also known as the delta function, states that the integral of the impulse function over an interval containing the origin is equal to 1.

What is the mathematical notation for the impulse function?

The impulse function is typically denoted as δ(t) or δ(x), where t or x is the variable of integration.

How is the sifting property of the impulse function used in scientific research?

The sifting property of the impulse function is frequently used in scientific research to model and analyze systems with sudden, short-lived events, such as electrical spikes or impulse responses in signal processing.

What is the relationship between the sifting property of the impulse function and the Dirac delta function?

The sifting property is a specific property of the Dirac delta function, which is a generalized function used to represent the impulse function. The Dirac delta function is defined as 0 for all values except at the origin, where it is infinite.

Can the sifting property of the impulse function be extended to higher dimensions?

Yes, the sifting property can be extended to higher dimensions by using the Dirac delta function in multiple variables. In three dimensions, for example, the sifting property states that the integral of the delta function over a volume containing the origin is equal to 1.

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