Improper use of [nabla operator] in vector analysis

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Discussion Overview

The discussion revolves around the proper use and interpretation of the nabla operator (\nabla) in vector analysis, particularly in relation to divergence and curl. Participants explore various textbooks and resources that address these topics, while also examining common misconceptions in mathematics and physics.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Meta-discussion

Main Points Raised

  • Some participants assert that \nabla should be treated as an operator rather than a vector, as highlighted in the book "Mathematics of Classical and Quantum Physics" by Byron and Fuller.
  • Others argue that \nabla can be treated as if it shares properties with vectors, provided care is taken, using examples from polar coordinates to illustrate divergence and curl.
  • A participant points out the non-commutative nature of the divergence operation, suggesting that \nabla\cdot\vec{F} is not equal to \vec{F}\cdot\nabla.
  • There is a discussion about the distinction between 'dot' and 'inner' products, with some participants noting that they are often used interchangeably, which may lead to confusion.
  • Concerns are raised about the potential for misconceptions in mathematics and physics, with suggestions for further discussions on this topic.
  • One participant mentions that \nabla satisfies the criteria to be considered a vector in the context of differential operators, while another critiques the notation used for divergence and curl in non-Cartesian coordinates.
  • Several participants express interest in historical perspectives on vector analysis and the naming of the nabla operator.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the proper interpretation of the nabla operator, with multiple competing views on its treatment as a vector or operator. The discussion remains unresolved regarding the implications of these interpretations and their applications in different coordinate systems.

Contextual Notes

Limitations include the dependence on specific coordinate systems for the application of divergence and curl, as well as the potential for confusion arising from the terminology used in vector analysis.

Who May Find This Useful

This discussion may be of interest to students and professionals in mathematics, physics, and engineering, particularly those exploring vector calculus and its applications.

  • #31
I am not too sure how you are using the distributive law of dot products to justify your claim. Could you please expand upon what you said.
 
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  • #32
Sure, I'll take a simple example using a STANDARD dot product.
Let us look at the 2-D case, but let our vectors be represented in DISTINCT bases:
\vec{v}=v_{1}\vec{i}_{1}+v_{2}\vec{i}_{2},\vec{w}=w_{1}\vec{j}_{1}+w_{2}\vec{j}_{2}
where the i's are orthogonal unit vectors, likewise the j's, but the i's are not necessarily perpendicular to the j's.
Thus, we have:
\vec{v}\cdot\vec{w}=\sum_{m=1}^{2}\sum_{n=1}^{2}(v_{m}\vec{i}_{m}\cdot{w_{n}\vec{j}_{n})
Knowing the values of the scalar products between the i's and j's then completes the picture.


In the case of an operator "vector", we just need to know the derivatives of unit vectors as well. Essentially, then, the operator acts as if it were written in a sort of different base than the regular vector (this is not surprising, since, strictly speaking, it isn't a vector in the first place).
 
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  • #33
Oh, I see. So going back to your previous post about divergence, you have

\nabla\cdot\vec{F}=(\vec{i}_{r}\frac{\partial}{\partial{r}}+\vec{i}_{\theta}\frac{\partial}{r\partial\theta}+\vec{k}\frac{\partial}{\partial{z}})\cdot (F_{r}\vec{i}_{r}+F_{\theta}\vec{i}_{\theta}+F_{z} \vec{k})

and then you using the definition of dot product you gave in the last post we get:

\nabla\cdot\vec{F}=\Big(\vec{i}_{r}\frac{\partial}{\partial{r}}\Big)\cdot \vec{F} +\Big(\vec{i}_{\theta}\frac{\partial}{r\partial\theta}\Big)\cdot \vec{F} + \Big(\vec{k}\frac{\partial}{\partial{z}}\Big)\cdot \vec{F}

Then you get:

\vec{i}_{r}\cdot\frac{\partial\vec{F}}{\partial{r} }+\vec{i}_{\theta}\cdot\frac{\partial\vec{F}}{r\partial\theta}+\vec{k}\cdot\frac{\partial\vec{F}}{\partial{z}}

The only "muddy" part is in the last step where you "move" the partial derivatives from the unit vectors to the vector function. Am I correct?
 
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  • #34
The only muddy part is that I switch the "dot" and the differential operator, and in that sense "moves" the diff. operator.
Apart from that switch, we can proceed as usual, for example:
\vec{i}_{\theta}\cdot\frac{\partial\vec{F}}{r\partial\theta}=\vec{i}_{\theta}\cdot(\frac{\partial{F}_{r}}{r\partial\theta}\vec{i}_{r}+\frac{F_{r}}{r}\vec{i}_{\theta}+\frac{1}{r}\frac{\partial{F}_{\theta}}{\partial\theta}\vec{i}_{\theta}-\frac{F_{\theta}}{r}\vec{i}_{r}++)=
\frac{F_{r}}{r}+\frac{1}{r}\frac{\partial{F}_{\theta}}{\partial\theta}
the other dot products cancelling by orthogonality relations.

I think that is what you meant by moving the diff. operator?


I would like to emphasize that this manipulative trick has nothing whatsoever to do with a proof of how the curl or div should look like when written in coordinate form.
Rather, it is a calculation device that brings out the correct formulae.
 
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  • #35
I meant that you treat the differential operator as a constant and move it to the vector function like the following:
\Big(\vec{i}_{r}\frac{\partial} {\partial{r}}\Big)\cdot \vec{F} = \vec{i}_{r}\cdot\Big(\frac{\partial\vec{F}}{\partial r}\Big)

But I think that's what you meant too by switching the dot and the differential operator.
 
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  • #36
Swapnil said:
Obviously you have no idea what you are talking about. Let me show you...
Ooh, boy, now there's a red rag to a bull. You want to be careful saying things like that. At least this isn't sci.math where you would be ripped to shreds (and rightly so).
 
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  • #37
Swapnil said:
Obviously you have no idea what you are talking about. Let me show you.
OK, I am sorry arildno. I shouldn't have said that (I guess I am getting too cocky these days). I apologize. :redface:
 
  • #38
matt grime said:
Ooh, boy, now there's a red rag to a bull. You want to be careful saying things like that. At least this isn't sci.math where you would be ripped to shreds (and rightly so).

What is sci.math?
 
  • #39
Swapnil said:
OK, I am sorry arildno. I shouldn't have said that (I guess I am getting too cocky these days). I apologize. :redface:
No hard feelings.:smile:
 
  • #40
courtrigrad said:
What is sci.math?


sci.math is an usenet news group, the original, if you will.
 
  • #41
arildno said:
I would like to emphasize that this manipulative trick has nothing whatsoever to do with a proof of how the curl or div should look like when written in coordinate form.
Rather, it is a calculation device that brings out the correct formulae.
So does this manipulative trick works for any curvilinear coordinate system?
 
  • #42
Just do a change of variable argument in precisely the same way.
 

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