Question in proof of Helmholtz Theorem

In summary, the proof says that the surface integral of a curl over a vector goes to zero as the distance between the points increases. The author of the article provides a video that shows how the author arrived at the correct answer.
  • #1
yungman
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242
I have a math question in this:http://en.wikipedia.org/wiki/Helmholtz_decomposition.

If you look at the proof, what is
[tex]\nabla_x\frac {1}{|\vec x-\vec x'|}\;and\; \nabla_x \times \frac {1}{|\vec x-\vec x'|}[/tex]

My thinking the first one is just the gradient of ##\frac {1}{|\vec x-\vec x'|}##. But the second one is puzzling. A curl has to perform on a vector...that is ##\nabla\times\vec A##, not ##\nabla\times K## where ##K## is a scalar function. Last I check, ##|\vec x-\vec x'|## is a scalar function.

Please help. Thanks
 
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  • #2
I didn't see any ∇x?
 
  • #3
mathman said:
I didn't see any ∇x?

It's the 5th line of equation under "Proof".
 
  • #4
Well what you saying is true. But I think they meant this is the rule if you have some vector with this argument, because in the rest of proof there isn't this mistake.
 
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  • #5
Djokara said:
Well what you saying is true. But I think they meant this is the rule if you have some vector with this argument, because in the rest of proof there isn't this mistake.

Thanks, that make me feel better.

There is something about this Helmholtz theorem. Every single article I read had problems. The only one that is close is http://faculty.uml.edu/cbaird/95.657%282012%29/Helmholtz_Decomposition.pdf. Still it does not explain why the surface integral is zero at infinite distance. I have another thread asking this question:

https://www.physicsforums.com/showthread.php?t=705015

If you have time, please take a look at that. Thanks.

Look at this video starting from 7:00.
http://www.youtube.com/watch?v=OUOi-j_WzBM

The derivation is all wrong, but magically he came to the right answer! He used the wrong product rule and come out with the right answer. I wrote a comment yesterday, he actually acknowledge the error today!
 
  • #6
Yes this means
[tex]\nabla_x\frac {*}{|\vec x-\vec x'|}\;and\; \nabla_x \times \frac {*}{|\vec x-\vec x'|}[/tex]
where * is some appropriate object.

If you enjoy wrong proofs of Helmholtz, you will love this one that is beloved by physicists and engineers.
$$-\nabla^2 F=-\nabla \nabla \cdot F+\nabla \times \nabla \times F \\
(-\nabla^{-2})(-\nabla^2) F=(-\nabla^{-2})(-\nabla) \nabla \cdot F+(-\nabla^{-2})\nabla \times \nabla \times F \\
F=-\nabla (-\nabla^{-2})\nabla \cdot F+\nabla \times (-\nabla^{-2})\nabla \times F \\
\text{let} \\
\varphi=(-\nabla^{-2})\nabla \cdot F \\
A=(-\nabla^{-2})\nabla \times F \\
\text{so} \\
F=-\nabla \varphi+\nabla \times A \\
\text{QED}$$
I smile every time I see that.
 
  • #7
It would be a lot funnier if I have not stuck for a few days! I thumbed through quite a few articles, spending my time going through them and one place or the other, they all starting to have an aroma...and it's not a present one!

AND they all just said the surface integral goes to zero...like as if it is so simple that everyone supposed to know! I dug through 7 or 8 EM books, Advanced Calculus, Vector calculus, PDE, ODE books...none! How is:

[tex]\int_{s'}\frac{\vec {F}(\vec {r})}{|\vec {r}-\vec {r'}|}\cdot d\vec {s'}=0\;\hbox { and }\;\int_{s'}\frac{\vec {F}(\vec {r})}{|\vec {r}-\vec {r'}|}\times d\vec {s'}=0[/tex]
at large distance?
 
  • #8
The wiki link assumes we have "sufficiently smooth, rapid decay."
So we have essentially
$$\int f(r)/r \mathrm{d}r \rightarrow 0$$
the 1/r is not enough to insure this say f is constant.
In applications it is common to assume f is zero (or small) for large r.
If we just assume f is zero we might have smoothness problems, but we can always smooth the function.
This assumption is sometimes questionable but if we cannot assume the effects of distant objects is negligible we are in trouble. More generally we need boundary conditions that assure that the decomposition is unique. So that
$$\varphi=(-\nabla^{-2})\nabla \cdot F \\
A=(-\nabla^{-2})\nabla \times F $$
are well defined. Without such conditions there could be many such functions.
 
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  • #9
Thanks for the reply. I know! It is just common sense to know that the effect of a localized event at far away is zero. But math doesn't work with common sense! You have to proof it!...Or...am I becoming a math junky?! But...I am not a student, I already have 30 years career as an engineer and manager of engineering. I am retired...common sense and practicality is not important anymore. I like to look at it in pure mathematical and logical sense...it's better than crossword puzzle!

But thanks for your support.
 
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Related to Question in proof of Helmholtz Theorem

1. What is Helmholtz Theorem?

Helmholtz Theorem is a fundamental theorem in vector calculus that states any continuous vector field in three-dimensional space can be uniquely decomposed into a divergence-free vector field and a curl-free vector field.

2. Why is Helmholtz Theorem important?

Helmholtz Theorem is important because it provides a mathematical framework for understanding and analyzing vector fields in physics and engineering. It also allows for simplification and solving of complex problems involving vector fields.

3. How is Helmholtz Theorem used in science and engineering?

Helmholtz Theorem is used in many areas of science and engineering, including fluid dynamics, electromagnetism, and quantum mechanics. It is used to solve problems involving vector fields and to derive important equations and laws, such as the Maxwell's equations in electromagnetism.

4. What is the proof of Helmholtz Theorem?

The proof of Helmholtz Theorem involves using the vector calculus operators of divergence and curl to decompose a vector field into its divergence-free and curl-free components. This proof is based on the fundamental theorem of calculus and the identities of vector calculus.

5. Are there any limitations to Helmholtz Theorem?

One limitation of Helmholtz Theorem is that it only applies to three-dimensional vector fields. It also assumes that the vector field is continuous and differentiable. Additionally, Helmholtz Theorem does not provide a solution for all vector fields, as there may be cases where a vector field cannot be uniquely decomposed into its divergence-free and curl-free components.

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