Green function as distributions

In summary, the conversation discusses the use of Green functions, specifically the function g(x,s)=exp[-\int^x_s p(z)dz] and how it can be thought of as a distribution by multiplying it with a Heaviside step function. The question is raised as to why this multiplication results in the same function and whether the Green function should be defined as g=e^{-\int^x_yp(z)dz} or g=H(x-s)e^{-\int^x_sp(z)dz}. The solution to an equation using this Green function is also mentioned.
  • #1
matematikuvol
192
0
If we have Green function

[tex]g(x,s)=exp[-\int^x_s p(z)dz][/tex] we want to think about that as distribution so we multiply it with Heaviside step function

[tex]g(x,s)=H(x-s)exp[-\int^x_s p(z)dz][/tex]

Why we can just multiply it with step function and tell that the function is the same. Tnx for the answer.
 
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  • #2
To be more precise.

If I say solution to eq is

[tex]u(x)=\int^{x}_0g(x,s)f(s)ds[/tex]

where [tex]g=e^{-\int^x_yp(z)dz}[/tex]

Then if I define

[tex]g=H(x-s)e^{-\int^x_sp(z)dz}[/tex]

is then

[tex]u(x)=\int^{\infty}_0g(x,s)f(s)ds[/tex]

and what is Green function this [tex]g=e^{-\int^x_yp(z)dz}[/tex] or this [tex]g=H(x-s)e^{-\int^x_sp(z)dz}[/tex]?
 
  • #3
Can you help me?
 

1. What is a Green function?

A Green function is a mathematical tool used in solving certain types of differential equations. It represents the response of a system to a delta function, which is a localized impulse. In other words, it helps us understand how a system behaves when it is subjected to a sudden, short-lived input.

2. How is a Green function related to distributions?

A Green function can be thought of as a distribution, which is a generalized function that is not defined in the traditional sense but can still be useful in solving equations. Specifically, a Green function can be represented as a delta function plus a regular function, making it a distribution.

3. What is the importance of using Green functions as distributions?

Green functions as distributions allow us to solve differential equations that would otherwise be difficult or impossible to solve. They provide a way to represent the response of a system to a localized input, making them useful in a variety of fields, such as physics, engineering, and mathematics.

4. How do you use Green functions as distributions in practice?

In practice, Green functions as distributions are used to solve specific types of differential equations, such as the Helmholtz equation or the heat equation. They can also be used in numerical methods, such as the finite element method, to approximate solutions to these equations.

5. Are there any limitations to using Green functions as distributions?

While Green functions as distributions are a powerful tool, they do have some limitations. They are not always unique, and their existence depends on the underlying equations and boundary conditions. Additionally, they may not always yield physically meaningful solutions, so caution must be exercised when using them in practice.

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