Understanding Multiple Delta Function in 1D and Multidimensional Spaces

In summary, the conversation is about understanding the multiple delta function and how it differs from the one-dimensional delta function. The formula for the one-dimensional delta function is given, and it is noted that for this function, the zeros of f(x) must have a multiplicity of 1. The question is then posed about the case of multiple delta functions, to which the expert recommends treating one of the variables as a parameter and working with a one-variable function. This approach is also used when dealing with the delta function on the light cone. The conversation ends with the asker thanking the expert for their help.
  • #1
fuwuchen
3
0
Hi everyone,
I have trouble understanding the multiple delta function. For one dimensional delta function, we have
δ([itex]\varphi[/itex](x))=[itex]\sum_{i=1}^{N}[/itex]δ(x−xi)|[itex]\varphi[/itex]′(xi)|
where xi's (for i = 1 to N) are simple zeros of f(x) and it is known that f(x) has no zeros of multiplicitiy > 1

but what is the case of multiple delta function
δ(f(x,y))=?

PS:This my first time to this forum, I'm not familiar with Latex. Sorry for the caused inconvenience.
 
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  • #2
Well one thing you could do is to treat y as a parameter and f(x,y) as a function of one variable. Then the zeroes of f(x,y) occur at x = ξi(y), and you have δ(f(x,y)) = ∑ δ(x - ξi(y)) |[∂f(x,y)/∂x]x = ξi(y)|.
 
  • #3
Bill_K said:
Well one thing you could do is to treat y as a parameter and f(x,y) as a function of one variable. Then the zeroes of f(x,y) occur at x = ξi(y), and you have δ(f(x,y)) = ∑ δ(x - ξi(y)) |[∂f(x,y)/∂x]x = ξi(y)|.


Thank a lot for your help, Bill!

But I wonder whether we can treat y as a parameter and have x = ξi(y), as in f(x,y) the two arguments x and y are independent to each other.
 
  • #4
Sure, that's perfectly legal. You will often see this approach used when dealing with the delta function on the light cone δ(x2 - c2t2). Instead of calling it a function of two variables f(x, t) = x2 - c2t2, we define a parameter a = ct and work with a function of one variable, δ(x2 - a2). By the one-dimensional rule this is equal to |1/2a| (δ(x - a) + δ(x + a)), which can then be written |1/2ct| (δ(x - ct) + δ(x + ct)).
 
  • #5
Bill_K said:
Sure, that's perfectly legal. You will often see this approach used when dealing with the delta function on the light cone δ(x2 - c2t2). Instead of calling it a function of two variables f(x, t) = x2 - c2t2, we define a parameter a = ct and work with a function of one variable, δ(x2 - a2). By the one-dimensional rule this is equal to |1/2a| (δ(x - a) + δ(x + a)), which can then be written |1/2ct| (δ(x - ct) + δ(x + ct)).

Yes, you are right!
Thanks again for your help, good luck with you!
 

What is a delta function?

A delta function, also known as the Dirac delta function, is a mathematical concept used to represent a point of infinite value at a specific point in space. It is often used in physics and engineering to model point sources of energy or mass.

How does a delta function differ from a regular function?

A regular function has a finite value at every point in its domain, while a delta function has a value of zero everywhere except at its designated point, where it has an infinite value. Additionally, the integral of a delta function over any interval is equal to 1, while the integral of a regular function over its entire domain may or may not be finite.

What is the significance of multiple delta functions in 1D and multidimensional spaces?

In 1D, multiple delta functions can be used to model multiple point sources of energy or mass. In multidimensional spaces, they can represent a concentration of mass or energy at a specific point in a higher dimensional space. This can be useful for solving certain physics and engineering problems.

How do you mathematically represent a multiple delta function in 1D and multidimensional spaces?

In 1D, a multiple delta function can be represented as a sum of individual delta functions, each with its own designated point and coefficient. In multidimensional spaces, it can be represented as a product of delta functions, each with its own designated point and coefficient in each dimension.

What are some real-world applications of understanding multiple delta functions?

Multiple delta functions have various applications in physics, engineering, and mathematics. They are commonly used in signal processing to model impulses or point sources. They also play a role in quantum mechanics, where they are used to represent a particle's position or momentum at a specific point in time. In engineering, multiple delta functions are used to model forces or loads at specific points in a structure. They also have applications in statistics and probability, where they are used to represent discrete probability distributions.

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