Poisson equation with a dirac delta source.

In summary, the differential equation disappears by taking the Fourier transform and transforming back to find something like a function. However, the homogeneous solutions are not square integrable and so are lost when taking the Fourier transform.
  • #1
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Consider:

##\nabla^{2} V(\vec{r})= \delta(\vec{r})##

By taking the Fourier transform, the differential equation dissapears. Then by transforming that expression back I find something like ##V(r) \sim \frac{1}{r}##.

I seem to have lost the homogeneous solutions in this process. Where does this happen?
 
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  • #2
Taking the Fourier transform you are essentially saying that your domain is infinite and that your function (##V##) is square integrable. The homogeneous solution is not square integrable.
 
  • #3
Thanks. Maybe you could get this one as well since you already bothered to answer so I don't have to make another post:

What's the difference in the evolution of ##f## for ##t>0## between saying

1) ##\partial_{x}^{2} f - \frac{1}{c^{2}} \partial_{t}^{2}f = -\delta(x) \delta(t)## where nothing is happening before ##t=0##

2) ##\partial_{x}^{2} f - \frac{1}{c^{2}} \partial_{t}^{2}f = 0 ## and to impose a delta peak as initial condition?
 
  • #4
Essentially nothing, but depending a bit on which initial condition you put a delta in (the wave equation is second order in t and so needs two initial conditions).
 
  • #5
I was talking about the condition on ##f##, the derivative condition is zero everywhere.

Is it correct to say that the first expression is more general. It can encompass the state of the system at ##t<0##. For example, if an oscillatory motion already exists before this delta peak, this expression can still be in agreement with it.

The second one is only a description for ##t>0## of a special case of the above description (namely, when everything is zero before the delta peak).
 
  • #6
Well, if you have initial conditions, you are encoding anything that happened before that time in those conditions. So for solving it for future ##t## it does not really matter. But the domain of the other problem is larger, yes.
 
  • #7
Well, it's all correct with your calculation of the Green function of the Laplace operator. The solution is not square integrable, because it's a distribution and not a function since the source is already a distribution. The Green's function in fact is
$$G(\vec{x})=-\frac{1}{4\pi |\vec{x}|} \; \Leftrightarrow \; \Delta G(\vec{x})=\delta^{(3)}(\vec{x}).$$
 

Related to Poisson equation with a dirac delta source.

1. What is the Poisson equation with a Dirac delta source?

The Poisson equation with a Dirac delta source is a partial differential equation that describes the distribution of a scalar field in a region where there is a localized source of a given strength.

2. How is the Poisson equation with a Dirac delta source used in physics?

The Poisson equation with a Dirac delta source is used to model a point charge in electrostatics, a point mass in gravitation, or a point vortex in fluid mechanics. It can also be used to model the distribution of a point-like impurity in a material.

3. What is the mathematical form of the Poisson equation with a Dirac delta source?

The mathematical form of the Poisson equation with a Dirac delta source is ∇²U = -4πδ(x-x₀), where U is the scalar field, x is the position vector, x₀ is the position of the source, and δ(x-x₀) is the Dirac delta function.

4. How is the Dirac delta function related to the Poisson equation with a Dirac delta source?

The Dirac delta function is a mathematical tool used to represent a point source or a point-like distribution. In the Poisson equation with a Dirac delta source, the Dirac delta function represents the strength or magnitude of the point source at a given position.

5. What are the boundary conditions for the Poisson equation with a Dirac delta source?

The boundary conditions for the Poisson equation with a Dirac delta source depend on the specific problem being solved. In general, the boundary conditions should ensure that the scalar field U is continuous and has a well-defined value at the boundaries of the region of interest.

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