Divergence Theorem & Neumann Problem Explained

In summary, the conversation discusses applying the divergence theorem and the partial differential equation to show that a certain integral is a necessary condition for the Neumann problem to have a solution. The divergence theorem states that the volume integral of a continuously differentiable vector field is equal to the surface integral of its normal component. The Neumann problem involves a boundary condition where the outward pointing unit normal vector is equal to zero. The Laplacian operator is used in Poisson's equation to relate the integral of the source function to the integral of the scalar field. However, the conversation also reveals confusion and a lack of understanding on how to properly apply the divergence theorem and the Laplacian operator.
  • #1
roldy
237
2
I've tried to make sense of this conjecture but I can't wrap my head around it.

We've been learning about the divergence theorem and the Neumann problem.
I came across this question.

Use the divergence theorem and the partial differential equation to show that

[tex]\underbrace{\int\int\int}_{D}f(x,y,z)dxdydz=0[/tex] is a necessary condition for the Neumann problem to have a solution.

Where the Neumann problem is [tex]\Delta=f(x,y,z)[/tex] in D, [tex]\frac{\partial u}{\partial n}=0[/tex] on [tex]\partial D[/tex].
 
Physics news on Phys.org
  • #2
You will want to consider

[tex]\int_D \Delta u d^3x[/tex]

using [tex]\Delta u = \nabla \cdot (\nabla u)[/tex]. Using the divergence theorem you can relate this integral to the boundary condition. On the other hand, you can use the Poisson equation to relate it to the integral of the source function f.
 
  • #3
Have to be honest here, I'm still lost on this one. I can't remember exactly how to implement the divergence theorem. I have to use only what's provided in the problem.
 
  • #4
Can you state the divergence theorem as it was taught in class?
 
  • #5
Only the definition, and only because I had to look it up. He didn't cover the divergence theorem.
 
  • #6
roldy said:
Only the definition, and only because I had to look it up. He didn't cover the divergence theorem.

But you said

roldy said:
We've been learning about the divergence theorem

In any case, the divergence theorem says that if [tex]\mathbf{F}[/tex] is a continuously differentiable vector field, then the volume integral

[tex]\int_V \nabla\cdot \mathbf{F} ~dV = \oint_{S=\partial V} \mathbf{n}\cdot \mathbf{F}~dS,[/tex]

where [tex]\mathbf{n}[/tex] is the outward pointing unit normal vector field to the bounding surface [tex]S=\partial V[/tex]. Can you attempt to apply this to the integral in post #2?

You will also want to figure out an expression for [tex]\partial u/\partial n[/tex] in terms of the gradient of [tex]u[/tex] as well.
 
  • #7
I'll give it a try. What I meant to say in the first post is that he introduced the divergence theorem. Learning was a bad choice of word since he didn't really teach anything about it.
 
  • #8
As a side comment, it's interesting that he asked you to solve a problem involving some notions he didn't properly explain in class.

Well, how fortunate of you to find Physicsforums. Some guys here can succesfully replace your math teacher, unfortunately for them without getting his salary as well. :wink:

Leaving jokes aside though, either he didn't ask you to solve the problem and you've seen it just glancing through your textbook, or he really commited some pedagogical mistake.
 
Last edited:
  • #9
Yeah, it really makes it difficult when he doesn't show examples. The book is worthless too. I've been trying to search on google for examples using the divergence theorem with relation to the Neumann problem.
 
  • #10
I guess that I really don't fully understand what [tex]\Delta u[/tex] is.
 
  • #12
roldy said:
I guess that I really don't fully understand what [tex]\Delta u[/tex] is.

Well I already told you that [tex]\Delta u = \nabla \cdot (\nabla u)[/tex]. Independently of this vector calc formula, [tex]\Delta[/tex] is a differential operator called the Laplacian. In terms of [tex](x,y,z)[/tex], it is

[tex] \Delta = \frac{\partial^2}{\partial x^2} + \frac{\partial^2}{\partial y^2} + \frac{\partial^2}{\partial z^2}. [/tex]

The equation

[tex]\Delta u=0[/tex]

is known as the Laplace equation, while

[tex]\Delta u=f[/tex]

is Poisson's equation.
 
  • #13
So all that I have done is this.

[tex]
\underbrace{\int\int\int}_{D} \left(\frac{\partial^2 u}{\partial x^2} + \frac{\partial^2 u}{\partial y^2} + \frac{\partial^2 u}{\partial z^2}\right)dxdydz=0
[/tex]

Just basic substitution in for [tex] \Delta u [/tex]

And substitution into the divergence theorem.

[tex]
\underbrace{\int\int\int}_{D} \left(\frac{\partial f}{\partial x}\hat{i} + \frac{\partial f}{\partial y}\hat{k}+ \frac{\partial f}{\partial z}\hat{k}\right)dx=\underbrace{\int\int}_{S}f\cdot n ds
[/tex]
 
  • #14
roldy said:
So all that I have done is this.

[tex]
\underbrace{\int\int\int}_{D} \left(\frac{\partial^2 u}{\partial x^2} + \frac{\partial^2 u}{\partial y^2} + \frac{\partial^2 u}{\partial z^2}\right)dxdydz=0
[/tex]

You can't just set this equal to 0. You have to use the divergence theorem and the Neumann boundary condition to show that it vanishes.

Just basic substitution in for [tex] \Delta u [/tex]

And substitution into the divergence theorem.

[tex]
\underbrace{\int\int\int}_{D} \left(\frac{\partial f}{\partial x}\hat{i} + \frac{\partial f}{\partial y}\hat{k}+ \frac{\partial f}{\partial z}\hat{k}\right)dx=\underbrace{\int\int}_{S}f\cdot n ds
[/tex]

Where does [tex]\nabla f[/tex] come from?

Go back and reread post #2 for hints on how to do this properly.
 
  • #15
I don't see what I did wrong. [tex]\nabla \cdot f =\frac{\partial f}{\partial x}\hat{i} + \frac{\partial f}{\partial y}\hat{k}+ \frac{\partial f}{\partial z}\hat{k}[/tex].

[tex]
\nabla=\frac{\partial }{\partial x}\hat{i} + \frac{\partial}{\partial y}\hat{k}+ \frac{\partial}{\partial z}\hat{k}
[/tex]

And all's that I did for the first part was substitute in what f(x,y,z) is. [tex]f(x,y,z)=\Delta[/tex]

And [tex]\Delta u=\frac{\partial^2 u}{\partial x^2} + \frac{\partial^2 u}{\partial y^2} + \frac{\partial^2 u}{\partial z^2}[/tex]
 
Last edited:
  • #16
roldy said:
I don't see what I did wrong. [tex]\nabla \cdot f =\frac{\partial f}{\partial x}\hat{i} + \frac{\partial f}{\partial y}\hat{k}+ \frac{\partial f}{\partial z}\hat{k}[/tex].

[tex]\nabla f[/tex] is the gradient of a scalar [tex]f[/tex]. The gradient of a scalar is a vector field. When we write [tex]\nabla \cdot \mathbf{F}[/tex], this is the divergence of a vector field [tex]\mathbf{F}[/tex]. The divergence is a scalar.

When you write

[tex]

\underbrace{\int\int\int}_{D} \left(\frac{\partial f}{\partial x}\hat{i} + \frac{\partial f}{\partial y}\hat{k}+ \frac{\partial f}{\partial z}\hat{k}\right)dx=\underbrace{\int\int}_{S}f\cdot n ds

[/tex]

you have the volume integral of a vector field on the LHS, while the RHS is the surface integral of something you've written as the dot product of a scalar f with something you call n, presumably meant to be the normal vector. This equation is mathematically inconsistent and is not a valid application of the divergence theorem.

On the other hand, it is perfectly straightforward to apply the divergence theorem to

[tex]\int_V \Delta u ~dV = \int_V \nabla\cdot ( \nabla u) ~dV.[/tex]
 

1. What is the Divergence Theorem?

The Divergence Theorem, also known as Gauss's Theorem, is a fundamental theorem in multivariable calculus that relates the flux of a vector field through a closed surface to the divergence of the vector field inside the surface. It is often used to convert a surface integral into a volume integral, or vice versa.

2. How is the Divergence Theorem derived?

The Divergence Theorem can be derived using the basic principles of vector calculus, such as the gradient, divergence, and curl operators. It is essentially a combination of the fundamental theorem of calculus and the divergence theorem in one dimension.

3. What is the significance of the Divergence Theorem in physics?

The Divergence Theorem has many applications in physics, particularly in the study of fluid flow and electromagnetism. It allows for the calculation of important physical quantities, such as flux and circulation, and is an important tool in solving problems in these fields.

4. What is the Neumann Problem?

The Neumann Problem is a boundary value problem in which the value of a function and its normal derivative are specified along a boundary. It is often used in the study of partial differential equations and has applications in many areas of physics and engineering.

5. How is the Neumann Problem related to the Divergence Theorem?

The Neumann Problem can be solved using the Divergence Theorem, as it allows for the conversion of surface integrals to volume integrals. This is particularly useful in solving boundary value problems involving vector fields, such as in electrostatics and fluid flow.

Similar threads

  • Differential Equations
Replies
4
Views
631
  • Differential Equations
Replies
5
Views
649
  • Differential Equations
Replies
1
Views
747
  • Calculus and Beyond Homework Help
Replies
6
Views
766
  • Calculus and Beyond Homework Help
Replies
3
Views
260
  • Math POTW for University Students
Replies
1
Views
436
Replies
2
Views
1K
Replies
11
Views
5K
  • Advanced Physics Homework Help
Replies
1
Views
767
Back
Top