Q about Poisson eqn w/ Neumann boundary conditions as in Jackson

In summary, the conversation discusses Jackson Electrodynamics and the use of Greens theorem to solve the Poisson equation. It also mentions the use of Neumann boundary conditions and the difficulties in choosing a Greens function that satisfies these conditions. The conversation also touches on the topic of infinite surfaces and their effect on the solutions to the equation.
  • #1
hideelo
91
15
I am reading Jackson Electrodynamics (section 1.10 in 3rd edition) and he is discussing the Poisson eqn $$\nabla^2 \Phi = -\rho / \epsilon_0$$ defined on some finite volume V, the solution using Greens theorem is

$$\Phi (x) = \frac{1}{4 \pi \epsilon_0} \int_V G(x,x') \rho(x')d^3x' +\frac{1}{4 \pi } \int_{\partial V} G(x,x') \frac{\partial \Phi (x') }{\partial n'} - \Phi(x') \frac{\partial G (x, x') }{\partial n'} da'$$

where G(x,x') is any Greens function

He says that for Neumann boundary conditions i.e. $$\partial \Phi / \partial n$$ is given as an explicit function on the boundary, it might seem that the obvious solution would be to choose G so that on the boundary

$$\frac{\partial G (x') }{\partial n'} = 0 $$

However he says that this isn't so simple since by Gauss theorem

$$\int_{\partial V} \frac{\partial G (x,x') }{\partial n'} da' = -4 \pi $$

for any Green's function. This leads me to my first question. So what? The integral we are interested in is not

$$\int_{\partial V} \frac{\partial G (x,x') }{\partial n'} da'$$

but rather

$$\int_{\partial V} \Phi(x') \frac{\partial G (x,x') }{\partial n'} da'$$

which doesn't do anything funny through Gauss theorem, so

$$\frac{\partial G (x') }{\partial n'} = 0 => \Phi(x') \frac{\partial G (x') }{\partial n'} = 0$$

and so that term in the solution should just equal 0.He then goes on to say that what we should do is set

$$\frac{\partial G (x') }{\partial n'} = - 4\pi/S $$

where

$$S =\int_{\partial V} da' $$

so that

$$ -\frac{1}{4 \pi } \int_{\partial V}\Phi(x') \frac{\partial G (x') }{\partial n'} da' = \int_{\partial V} \frac{\Phi(x')}{S} da' := <\Phi>_{\partial V}$$

in other words it is the average value of phi on the boundary. He then says that in the limit that the surface goes to infinity this term goes to zero. I don't see why that should be the case, I can actually show explicitly functions that its average value on some surface does not depend on the "size" of the surface at all, and others which will blow up to infinity as the surface grows. What am I missing here?

Finally, his opening line was about finite volumes how is the surface at infinity (unless he is talking about the weird mathematical cases where an infinite surface bounds a finite volume, but somehow I doubt it)TIA
 
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  • #2
The Greens function represents the potential due to a point charge. Gauss's law says the the flux through the boundary is equal to the enclosed charge. In calculating the Greens function we need to make sure that it's consistent with Gauss. Therefore the integral of the flux through the bounary cannot be zero.
 
  • #3
the_wolfman said:
The Greens function represents the potential due to a point charge. Gauss's law says the the flux through the boundary is equal to the enclosed charge. In calculating the Greens function we need to make sure that it's consistent with Gauss. Therefore the integral of the flux through the bounary cannot be zero.
I don't know if you are answering any of my questions, reinforcing any of my questions, or just giving an overall comment. In any case, in dealing with the equation strictly as a mathematical object, our intuition regarding phi being an actual potential and behaving like an Electrostatic force shouldn't impact the general soluttion
 
  • #4
My answer above addresses why [itex] \oint ds \frac{\partial G}{\partial n} \neq 0[/itex]. Note that I was talking about the Green Function [itex]G\left(x,x'\right) [/itex] and not the potential [itex]\phi \left(x\right) [/itex]

In my opinion Jackson does a poor job of explaining Green functions. The key ingredient that he doesn't adequately explain in the first chapter is that [itex]G\left(x,x'\right) [/itex] is a specific function that solves the equation

[itex] \nabla^2 G\left(x,x'\right) = C \delta(x-x'),[/itex]

where C is a nonzero constant that depends on your normalization of G. (I like to set C to 1, but I think Jackson uses [itex] C = -4\pi[/itex]).

If you look at this equation, you'll note that the Green function [itex]G\left(x,x'\right) [/itex] represents the potential at the point [itex] \vec x [/itex] due to a point charge at [itex] \vec x' [/itex]. To determine [itex] \oint ds \frac{\partial G}{\partial n}[/itex] at the boundary integrate

[itex] \nabla^2 G\left(x,x'\right) = C \delta(x-x'),[/itex]

over the volume, and apply Gauss's law (Divergence theorem),

which gives you

[itex] \oint ds \frac{\partial G}{\partial n} =C [/itex]. Therefore [itex] \frac{\partial G}{\partial n} \neq 0 [/itex].

hideelo said:
He then says that in the limit that the surface goes to infinity this term goes to zero. I don't see why that should be the case, I can actually show explicitly functions that its average value on some surface does not depend on the "size" of the surface at all, and others which will blow up to infinity as the surface grows. What am I missing here?

You are missing the fact that G and [itex]\phi \left(x\right) [/itex] are not arbitrary functions but they are solutions to Poisson's equation. For a finite charge this prevents [itex]\left< \phi \left(x\right)\right> [/itex] from blowing up.

hideelo said:
Finally, his opening line was about finite volumes how is the surface at infinity (unless he is talking about the weird mathematical cases where an infinite surface bounds a finite volume, but somehow I doubt it)

He's just considering the limit where the boundary of the domain goes to infinity. So both the volume and the surface area are infinite. And he is arguing that in this limit the model is still well-behaved.
 
  • #5
the_wolfman said:
My answer above addresses why [itex] \oint ds \frac{\partial G}{\partial n} \neq 0[/itex]. Note that I was talking about the Green Function [itex]G\left(x,x'\right) [/itex] and not the potential [itex]\phi \left(x\right) [/itex]

In my opinion Jackson does a poor job of explaining Green functions. The key ingredient that he doesn't adequately explain in the first chapter is that [itex]G\left(x,x'\right) [/itex] is a specific function that solves the equation

[itex] \nabla^2 G\left(x,x'\right) = C \delta(x-x'),[/itex]

where C is a nonzero constant that depends on your normalization of G. (I like to set C to 1, but I think Jackson uses [itex] C = -4\pi[/itex]).

If you look at this equation, you'll note that the Green function [itex]G\left(x,x'\right) [/itex] represents the potential at the point [itex] \vec x [/itex] due to a point charge at [itex] \vec x' [/itex]. To determine [itex] \oint ds \frac{\partial G}{\partial n}[/itex] at the boundary integrate

[itex] \nabla^2 G\left(x,x'\right) = C \delta(x-x'),[/itex]

over the volume, and apply Gauss's law (Divergence theorem),

which gives you

[itex] \oint ds \frac{\partial G}{\partial n} =C [/itex]. Therefore [itex] \frac{\partial G}{\partial n} \neq 0 [/itex].
I understand why [itex] \oint ds \frac{\partial G}{\partial n} \neq 0[/itex] I don't understand why [itex] \oint ds \frac{\partial G}{\partial n} \Phi(x) \neq 0[/itex] for [itex] \frac{\partial G}{\partial n} = 0[/itex] on the boundary.


the_wolfman said:
You are missing the fact that G and [itex]\phi \left(x\right) [/itex] are not arbitrary functions but they are solutions to Poisson's equation. For a finite charge this prevents [itex]\left< \phi \left(x\right)\right> [/itex] from blowing up.

Yes an no, given [itex] \rho [/itex] arbitrary, I can make it so that [itex] \Phi [/itex] does blow up. Let's work backwards for a moment, set [itex] \Phi(r) = \alpha r^5 [/itex] then [itex] \nabla^2 \Phi = 30 \alpha r^3 = \frac{\rho}{\epsilon_0}[/itex]. Turning that around tells me if [itex] \rho = -\epsilon_0 \alpha 30 r^3 [/itex] then I know that [itex] \Phi = \alpha r^5 [/itex]. so given this rho I can tell you that alpha blows up, and it blows up faster than than the are element so taking the average value over any surface blows up to infinity as the surface goes to infinity. (just take the surface to be a sphere and you essential get a function cubic in r which must blow up as r goes to infinity)
 
  • #6
You're correct that we're interested in evaluating [itex] \oint ds \frac{\partial G}{\partial n}\phi [/itex], to do so we have to determine [itex] \frac{\partial G}{\partial n} [/itex]. Now we have some freedom in our choice, but we have to make sure that our choice of [itex] \frac{\partial G}{\partial n}[/itex] is consistent.

If we chose G to be the function that satisfies the equation
[itex]\nabla^2 G =\delta [/itex]

then we have to make sure that our choice of [itex] \frac{\partial G}{\partial n} [/itex] is consistent with this equation.
If you apply the divergence theorem you get [itex] \oint ds \frac{\partial G}{\partial n}=1[/itex]. Therefore our choice for [itex] \frac{\partial G}{\partial n}[/itex] has to satisfy this intergal equation. If it does not then it's not consistent. What happens if we choose [itex] \frac{\partial G}{\partial n}=0[/itex] as you suggest?

Plugging this into the surface integral we get
[itex] \oint ds \frac{\partial G}{\partial n}=\oint ds 0=0\neq 1[/itex]. Therefore the choice [itex] \frac{\partial G}{\partial n}=0[/itex] is not consistent with our definition of G.

Now, we could ask is there a non-zero choice of [itex] \frac{\partial G}{\partial n}[/itex] that will set [itex] \oint ds \frac{\partial G}{\partial n}\phi =0 [/itex] for all [itex]\phi [/itex]? It turns out that there is not.

hideelo said:
Yes an no, given ρ \rho arbitrary, I can make it so that Φ \Phi does blow up. Let's work backwards for a moment, set Φ(r)=αr5 \Phi(r) = \alpha r^5 then ∇2Φ=30αr3=ρϵ0 \nabla^2 \Phi = 30 \alpha r^3 = \frac{\rho}{\epsilon_0}. Turning that around tells me if ρ=−ϵ0α30r3 \rho = -\epsilon_0 \alpha 30 r^3 then I know that Φ=αr5 \Phi = \alpha r^5 . so given this rho I can tell you that alpha blows up, and it blows up faster than than the are element so taking the average value over any surface blows up to infinity as the surface goes to infinity. (just take the surface to be a sphere and you essential get a function cubic in r which must blow up as r goes to infinity)

You'll note that in your example you need an infinite amount of charge to get an infinite potential. So you need an unphysical charge to get an unphysical potential.

I should amend my statement. He's arguing that the model is well behaved at infinity for any physical charge distribution.
 

1. What is Poisson's equation with Neumann boundary conditions?

Poisson's equation is a partial differential equation that describes the relationship between a potential field and its sources. It is commonly used in physics and engineering to model electrostatics, magnetostatics, and other phenomena. Neumann boundary conditions refer to the specification of the normal derivative of the potential field on the boundary of the region.

2. What is the significance of Neumann boundary conditions in Poisson's equation?

Neumann boundary conditions are important in Poisson's equation because they allow us to specify the behavior of the potential field at the boundary of the region. This is especially useful in situations where the boundary represents a physical object or interface, such as a conducting surface or a dielectric interface.

3. How do Neumann boundary conditions affect the solution of Poisson's equation?

Neumann boundary conditions affect the solution of Poisson's equation by introducing additional constraints or boundary conditions that must be satisfied by the potential field. These conditions can be used to determine the unique solution to the equation, or to find a solution that satisfies specific physical requirements at the boundary.

4. How are Neumann boundary conditions different from Dirichlet boundary conditions?

Neumann boundary conditions specify the behavior of the normal derivative of the potential field on the boundary, while Dirichlet boundary conditions specify the value of the potential field itself on the boundary. In other words, Neumann boundary conditions involve the gradient of the potential, while Dirichlet boundary conditions involve the potential itself.

5. What are some practical applications of Poisson's equation with Neumann boundary conditions?

Poisson's equation with Neumann boundary conditions has many practical applications in physics and engineering. Some examples include modeling the electric potential around conductors, calculating the magnetic field of a permanent magnet, and simulating the behavior of electrostatic lenses and capacitors. It is also commonly used in image processing and medical imaging to reconstruct images from noisy or incomplete data.

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