Divergence of 1/r^2; delta dirac's role

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Homework Help Overview

The discussion revolves around demonstrating the divergence of the function \( \nabla \frac{1}{r} \) and its relation to the delta Dirac function, specifically showing that \( \nabla \cdot \nabla \frac{1}{r} = -4\pi \delta(r) \). The subject area includes vector calculus and the properties of distributions in mathematical physics.

Discussion Character

  • Conceptual clarification, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the application of the divergence theorem and Gauss' Law in relation to the problem. There are questions about the necessity and role of the delta Dirac function in the context of the divergence, as well as inquiries into the significance of the constant factor -4π.

Discussion Status

The conversation is exploring various interpretations of the mathematical properties involved. Some participants have provided links to resources that clarify the concepts, while others express uncertainty about the rigor required in the proof and the nature of the delta function as a distribution.

Contextual Notes

There is an acknowledgment of the complexity surrounding the delta Dirac function and its classification as a distribution rather than a conventional function. Participants are considering the implications of this classification on the proof and understanding of the divergence result.

bladesong
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Homework Statement


Given \nabla\frac{1}{r}, show \nabla\bullet\nabla\frac{1}{r} = -4πδ(r), where δ(r) is the delta dirac function.

The Attempt at a Solution


I've used divergence theorem and also solved the equation itself, so I know that outright solving is zero and the divergence theorem gives -4π. But I'm not sure how to show the presence, or rather, how I get the delta dirac function. I understand its role and but not necessarily why it needs to be there. Any help on direction on this one would be greatly appreciated.
 
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bladesong said:

Homework Statement


Given \nabla\frac{1}{r}, show \nabla\bullet\nabla\frac{1}{r} = -4πδ(r), where δ(r) is the delta dirac function.


The Attempt at a Solution


I've used divergence theorem and also solved the equation itself, so I know that outright solving is zero and the divergence theorem gives -4π. But I'm not sure how to show the presence, or rather, how I get the delta dirac function. I understand its role and but not necessarily why it needs to be there. Any help on direction on this one would be greatly appreciated.

Think of ##\nabla \frac{1}{r}## as an electrical field ##\mathbf{E}##, so that ##\nabla \cdot \mathbf{E}## is its divergence. Now use Gauss' Law
http://www.deepspace.ucsb.edu/wp-content/uploads/2010/08/033_Chapter-22-Flux-and-Gauss-Law-PML.pdf .

RGV
 
Ray Vickson said:
Think of ##\nabla \frac{1}{r}## as an electrical field ##\mathbf{E}##, so that ##\nabla \cdot \mathbf{E}## is its divergence. Now use Gauss' Law
http://www.deepspace.ucsb.edu/wp-content/uploads/2010/08/033_Chapter-22-Flux-and-Gauss-Law-PML.pdf .

RGV

Thank you for your prompt reply - this also makes it a little clearer. Seeing as this is a general mathematical property, is it simply enough to state this or is there some more rigorous proof needed?

i.e., I see now why at 0 it has the delta dirac, but not why ithe -4pi portion. This is the result of the integral - how does it fit back into the original divergence? Please pardon my ignorance - it's been a while.
 
bladesong said:
Thank you for your prompt reply - this also makes it a little clearer. Seeing as this is a general mathematical property, is it simply enough to state this or is there some more rigorous proof needed?

i.e., I see now why at 0 it has the delta dirac, but not why ithe -4pi portion. This is the result of the integral - how does it fit back into the original divergence? Please pardon my ignorance - it's been a while.

Just read the link; it's all there.

As for "rigour", well, that is another matter altogether, and it concerns the undeniable fact that δ(r) is not really a legitimate function at all---it is a so-called "distribution", or "generalized function". There are lots of different approaches to defining distributions and to proving results about them. The first few pages of http://www.math.umn.edu/~olver/pd_/gf.pdf
deal with the basic issues involved in the 1-dimensional case. Some of the same basic ideas carry over to the 3-dimensional case you are dealing with. For more material, Google "generalized functions".

RGV
 
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