Proofs for Dirac delta function/distribution

In summary, the conversation discusses the proof for the equivalence of two expressions involving the Dirac delta function/distribution and the use of substitution to evaluate the integral. It is noted that the absolute value on the right side is necessary in cases where the substitution results in a change of limits for the integral.
  • #1
Wishe Deom
12
0
[SOLVED] Proofs for Dirac delta function/distribution

Homework Statement



Prove that
[tex]
\delta(cx)=\frac{1}{|c|}\delta(x)
[/tex]


Homework Equations



[tex]\delta(x)[/tex] is defined as
[tex]
\delta(x)=\left\{\stackrel{0 for x \neq 0}{\infty for x=0}
[/tex]

It has the properties:
[tex]
\int^{\infty}_{-\infty}\delta(x)dx=1
[/tex]
[tex]
\int^{\infty}_{-\infty}f(x)\delta(x-a)dx=f(a)
[/tex]

Two expressions [tex]D_{1}[/tex] and [tex]D_{2}[/tex] involving [tex]\delta(x)[/tex] are considered equivalent if
[tex]
\int^{\infty}_{-\infty}f(x)D_{1}dx = \int^{\infty}_{-\infty}f(x)D_{2}dx
[/tex]

The Attempt at a Solution



Starting from

[tex]
\int^{\infty}_{-\infty}f(x)\delta(cx)dx = \int^{\infty}_{-\infty}f(x)\frac{1}{|c|}\delta(x)dx
[/tex]

I make a substitution u=cx, and du=cdx.

[tex]
\frac{1}{c}\int^{\infty}_{-\infty}f(u/c)\delta(u)du = \frac{1}{|c|}\int^{\infty}_{-\infty}f(x)\delta(x)dx
[/tex]

Substitute f(u/c)=g(u), and on right side evaluate integral.

[tex]
\frac{1}{c}\int^{\infty}_{-\infty}g(u)\delta(u)du = \frac{1}{|c|}f(0)
[/tex]

Evaluate left side.

[tex]
\frac{1}{c}g(0)= \frac{1}{|c|}f(0)
[/tex]

By x=u/c, g(0)=f(0), so


[tex]
\frac{1}{c}f(0)= \frac{1}{|c|}f(0)
[/tex]


So, I got this far, but I don't understand where the absolute value on the right side comes from.
 
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  • #2
see, when c is negative, your limits on the integral after the substitution change signs, therefore, for negative c, you should have a modulus sign.
 
  • #3
If c is negative, when you do the substitution u=cx the u-limits become +infinity to -infinity, instead of -infinity to +infinity for x.
 
  • #4
Ok, thank you both. In retrospect, that was kind of obvious :P
 

FAQ: Proofs for Dirac delta function/distribution

What is the Dirac delta function/distribution?

The Dirac delta function, also known as the Dirac delta distribution, is a mathematical function that is commonly used in physics and engineering to represent a point mass or point charge. It is defined as a function that is zero everywhere except at the origin, where it is infinite, and has an area of 1 under its curve.

What is the purpose of using the Dirac delta function/distribution?

The Dirac delta function/distribution is used to model and solve problems involving point-like entities, such as point particles, point charges, or point sources of energy. It is also used to simplify calculations and representations in areas such as signal processing and quantum mechanics.

How is the Dirac delta function/distribution represented mathematically?

The Dirac delta function/distribution is typically represented as δ(x) or δ(x - a), where 'a' is the location of the point mass or point charge. It can also be represented using an integral, δ(x) = ∫-∞ δ(x - a)dx = 1.

What are some properties of the Dirac delta function/distribution?

Some properties of the Dirac delta function/distribution include: it is an even function, δ(x) = δ(-x); it is infinitely differentiable everywhere except at the origin; it has a unit area under its curve; and it satisfies the sifting property, ∫-∞ f(x)δ(x - a)dx = f(a).

Can the Dirac delta function/distribution be used in real-world applications?

Yes, the Dirac delta function/distribution has many practical applications in physics, engineering, and mathematics. It is used in areas such as signal processing, quantum mechanics, and probability theory. It is also used in the modeling and analysis of systems with point-like sources or point-like interactions.

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