Divergence of a Curl - Then Integrate By Parts

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SUMMARY

The discussion focuses on proving the identity ∫B·[∇×A]dV = ∫A·[∇×B]dV using integration by parts, with A(r) and B(r) vanishing at infinity. Participants emphasize the importance of the divergence theorem and the identity ∇·(A×B) = B·(∇×A) - A·(∇×B) to simplify the problem. The conversation highlights the challenges of handling partial derivatives within integrals and the relevance of Cartesian tensors in this context. Ultimately, the use of the divergence theorem is recommended to convert volume integrals into surface integrals for easier evaluation.

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Homework Statement


∫Bdot[∇×A]dV=∫Adot[∇×B]dV

Prove this by integration by parts. A(r) and B(r) vanish at infinity.


Homework Equations


I'm getting stuck while trying to integrate by parts - I end up with partial derivatives and dV, which is dxdydz?


The Attempt at a Solution



I can break things down to Cartesian components, but integrating by parts is where I get stuck.

Essentially, I'm simplifying by stating the identity that
BdotCurlA - AdotCurlB = Div(A×B) = 0 in this case (Subtract right hand side from left and combine under one ∫dV)

The components look like this:
∂x(AyBz−AzBy)=(∂xAy)Bz+Ay(∂xBz)−(∂xAz)By−Az(∂xBy)
plus the y,z terms as well.

How would one integrate ∫[(∂xAy)Bz]dV by parts? I have Ay and Bz which are potentially functions of x,y,z and a partial wrt x, and dxdydz...

Thanks!
 
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Do you know cartesian tensors ? If so, the problem is trivial.

\iiint A_k \epsilon_{klm} \partial_{l}B_{m} dV = ...
 
Integrations by parts are equivalent to product rules.
use
\nabla \cdot (\mathbf{A} \times \mathbf{B}) = \mathbf{B} \cdot (\nabla \times \mathbf{A}) - \mathbf{A} \cdot (\nabla \times \mathbf{B})
and the divergence theorem to reduces the problem to showing a surface integral at infinity is zero.
 
dextercioby said:
Do you know cartesian tensors ? If so, the problem is trivial.

\iiint A_k \epsilon_{klm} \partial_{l}B_{m} dV = ...

No, we haven't studied those so I don't believe that's a path I can take.

lurflurf said:
Integrations by parts are equivalent to product rules.
use
\nabla \cdot (\mathbf{A} \times \mathbf{B}) = \mathbf{B} \cdot (\nabla \times \mathbf{A}) - \mathbf{A} \cdot (\nabla \times \mathbf{B})
and the divergence theorem to reduces the problem to showing a surface integral at infinity is zero.

I have used that identity to reduce the problem to ∫Div(A×B)=0

This reduces to:
∫[∂xAy*Bz-∂xAz*By+∂yAz*By-∂yAx*BZ+∂ZAx*By-∂zAy*Bx]dV
 
So I guess I'm wondering how to handle the partial derivatives inside the integrand. Take the first term for example:
∫∂/∂x(AyBz)dxdydz

Do the ∂x and dx cancel out?
 
No, no, no. Do you know about the Gauß-Ostrogradskii theorem ? It turns a volume integral into a surface integral.
 
Last edited:
Yes, but I was focused on the brute force of integration by parts method as opposed to using this theorem. I think I'm just going to go the easy route and use this method - hopefully I won't lose too many points!
 
You are doing vector integrals, you should use the vectors not their components, and you can use the Gauß-Ostrogradskii theorem in case of vectors.

<In vector calculus, the divergence theorem, also known as Gauss's theorem or Ostrogradsky's theorem,[1] is a result that relates the flow (that is, flux) of a vector field through a surface to the behavior of the vector field inside the surface.>

No reason to lose points.
 

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