Improper use of [nabla operator] in vector analysis

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SUMMARY

The discussion centers on the proper interpretation and application of the nabla operator (\nabla) in vector analysis, particularly in relation to divergence and curl. Participants reference "Mathematics of Classical and Quantum Physics" by Byron and Fuller, which correctly identifies \nabla as an operator rather than a vector. The conversation highlights misconceptions surrounding the non-commutative nature of the divergence operation and the importance of using appropriate coordinate systems for accurate calculations. Additionally, the need for clarity in mathematical terminology, such as distinguishing between dot products and inner products, is emphasized.

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  • Understanding of vector calculus, specifically divergence and curl.
  • Familiarity with differential operators and their applications.
  • Knowledge of coordinate systems, including Cartesian, polar, and cylindrical coordinates.
  • Basic comprehension of mathematical terminology related to vectors and operators.
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  • Study the application of the nabla operator in different coordinate systems, focusing on polar and cylindrical coordinates.
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  • Research the differences between dot products and inner products in vector spaces.
  • Explore common misconceptions in mathematics and physics, particularly those related to vector calculus.
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  • #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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