Question in the curl of a cross product.

Click For Summary

Discussion Overview

The discussion revolves around the mathematical expression involving the curl of a cross product, specifically in the context of vector calculus as applied in electromagnetism (EM) and fluid dynamics. Participants explore the operator \(\vec A \cdot \nabla\), its application to scalar and vector fields, and its implications in different coordinate systems.

Discussion Character

  • Technical explanation
  • Debate/contested
  • Mathematical reasoning
  • Homework-related

Main Points Raised

  • Some participants describe the operator \(\vec A \cdot \nabla\) in Cartesian coordinates and its application to scalar functions, noting that it behaves differently when applied to vectors.
  • Others argue about the equivalence of \((\vec A \cdot \nabla) \vec B\) and \(\vec A \cdot (\nabla \vec B)\), with some asserting that \(\nabla \vec B\) is a second-order tensor.
  • A participant mentions the convective operator and its relevance in various fields, suggesting that it can be expressed in terms of simpler derivatives.
  • There is a request for the expression of \((\vec A \cdot \nabla) \vec B\) in cylindrical coordinates, with participants expressing uncertainty about the complexity of the calculations involved.
  • Some participants discuss the need for a general formula for \((\vec V \cdot \nabla) \vec V\) in the context of the Boltzmann fluid equation, with differing views on its evaluation across coordinate systems.
  • One participant expresses skepticism about the reliability of external resources like Wolfram for verifying their calculations.
  • Another participant challenges the assertion that \((\vec V \cdot \nabla) \vec V\) is equal to \(\vec V\) in any coordinate system, providing a counterexample when \(\vec V\) is constant.

Areas of Agreement / Disagreement

Participants exhibit disagreement regarding the application and interpretation of the operator \(\vec A \cdot \nabla\) when applied to vectors versus scalars. There is no consensus on the best approach to express these operators in different coordinate systems, and the discussion remains unresolved on several technical points.

Contextual Notes

Some participants note the complexity of expressing the operator in cylindrical and spherical coordinates, indicating that assumptions about the coordinate system may affect the results. The discussion also highlights the need for clarity on definitions and the application of mathematical identities.

yungman
Messages
5,741
Reaction score
291
This might be math problem, but I only see it in EM books.

[tex]\nabla X (\vec A X \vec B) \;=\; (\vec B \cdot \nabla)\vec A - \vec B(\nabla \cdot \vec A) -(\vec A \cdot \nabla)\vec B + \vec A ( \nabla \cdot \vec B)[/tex].

What is [tex]\vec A \cdot \nabla[/tex]?
 
Physics news on Phys.org
yungman said:
This might be math problem, but I only see it in EM books.

[tex]\nabla X (\vec A X \vec B) \;=\; (\vec B \cdot \nabla)\vec A - \vec B(\nabla \cdot \vec A) -(\vec A \cdot \nabla)\vec B + \vec A ( \nabla \cdot \vec B)[/tex].

What is [tex]\vec A \cdot \nabla[/tex]?

In Cartesian coordinates:

[tex]\vec A \cdot \nabla = A_x\frac{\partial }{\partial x}+A_y\frac{\partial }{\partial y}+A_z\frac{\partial }{\partial z}[/tex]

It has to be applied to something. For example, a scalar function f:

[tex](\vec A \cdot \nabla) f = A_x\frac{\partial f }{\partial x}+A_y\frac{\partial f}{\partial y}+A_z\frac{\partial f}{\partial z}[/tex]

Thats the same as [tex]\vec A \cdot (\nabla f)[/tex] but when applied to a vector, its not.
 
Rap said:
In Cartesian coordinates:

[tex]\vec A \cdot \nabla = A_x\frac{\partial }{\partial x}+A_y\frac{\partial }{\partial y}+A_z\frac{\partial }{\partial z}[/tex]

It has to be applied to something. For example, a scalar function f:

[tex](\vec A \cdot \nabla) f = A_x\frac{\partial f }{\partial x}+A_y\frac{\partial f}{\partial y}+A_z\frac{\partial f}{\partial z}[/tex]

Thats the same as [tex]\vec A \cdot (\nabla f)[/tex] but when applied to a vector, its not.

Thanks for the reply.

But in this case, it is applied to a vector! What does this mean?

Thanks
 
Ignore that it works fine applied to a vector. You can see by the chain rule that if A is a rate of change the convective operator is a rate of change as well. It arises often not only in EM but also in fluids, heat, and many other areas.

http://mathworld.wolfram.com/ConvectiveOperator.html

The four product derivatives are related by an identity so one only needs to deal with three, though yours is not often chosen to be avoided.

[tex]\mathbf{(a\times\nabla)\times b+a\nabla\cdot b=a\times(\nabla\times b)+(a\cdot\nabla)b}[/tex]
 
Rap said:
In Cartesian coordinates:

[tex]\vec A \cdot \nabla = A_x\frac{\partial }{\partial x}+A_y\frac{\partial }{\partial y}+A_z\frac{\partial }{\partial z}[/tex]

It has to be applied to something. For example, a scalar function f:

[tex](\vec A \cdot \nabla) f = A_x\frac{\partial f }{\partial x}+A_y\frac{\partial f}{\partial y}+A_z\frac{\partial f}{\partial z}[/tex]

Thats the same as [tex]\vec A \cdot (\nabla f)[/tex] but when applied to a vector, its not.

No, you are wrong.

[tex](\mathbf{A}\cdot\nabla) \mathbf{B}= \mathbf{A}\cdot(\nabla\mathbf{B})[/tex]

[tex]\nabla\mathbf{B}[/tex] is a second-order tensor.
 
netheril96 said:
No, you are wrong.

[tex](\mathbf{A}\cdot\nabla) \mathbf{B}= \mathbf{A}\cdot(\nabla\mathbf{B})[/tex]

[tex]\nabla\mathbf{B}[/tex] is a second-order tensor.
They are equivalent forms.
[tex](\mathbf{\hat A}\cdot\nabla)[/tex]
is called the "directional derivative". It is the rate of cchange of anything (scalar, vector, ...) in the A direction.
It is most useful acting on the vector r, where it gives
[tex](\mathbf{A}\cdot\nabla) \mathbf{r}=\mathbf{A}[/tex].
 
Last edited:
netheril96 said:
No, you are wrong.

[tex](\mathbf{A}\cdot\nabla) \mathbf{B}= \mathbf{A}\cdot(\nabla\mathbf{B})[/tex]

[tex]\nabla\mathbf{B}[/tex] is a second-order tensor.

Absolutely right. I should have said it was more complicated.
 
OK, this is part of an exercise, now I read the Wolfram link and I "peek" at the solution manual:


Given by the solution manual:

[tex](\vec A \cdot \nabla) \vec B \;=\; ( A_x \frac {\partial}{\partial x} +A_y \frac {\partial}{\partial y} +A_z \frac {\partial}{\partial z}) (\hat x B_x + \hat y B_y + \hat z B_z )[/tex]

Which is in agreement with Mathworld Wolfram (2) in the link.

If you look at the equation again, it is like:

[tex](\vec A \cdot \nabla) \;=\; (\hat x A_x + \hat y A_y + \hat z A_z ) \cdot (\hat x \frac {\partial}{\partial x} +\hat y \frac {\partial}{\partial y} +\hat z \frac {\partial}{\partial z})[/tex]

But I cannot figure out this in cylindrical and spherical coordinates.
 
Last edited:
yungman said:
OK, this is part of an exercise, now I read the Wolfram link and I "peek" at the solution manual:Given by the solution manual:

[tex](\vec A \cdot \nabla) \vec B \;=\; ( A_x \frac {\partial}{\partial x} +A_y \frac {\partial}{\partial y} +A_z \frac {\partial}{\partial z}) (\hat x B_x + \hat y B_y + \hat z B_z )[/tex]

Which is in agreement with Mathworld Wolfram (2) in the link.

If you look at the equation again, it is like:

[tex](\vec A \cdot \nabla) \;=\; (\hat x A_x + \hat y A_y + \hat z A_z ) \cdot (\hat x \frac {\partial}{\partial x} +\hat y \frac {\partial}{\partial y} +\hat z \frac {\partial}{\partial z})[/tex]

But I cannot figure out this in cylindrical and spherical coordinates.

I need [tex](A \cdot \nabla)B[/tex] in cylindrical coordinates too, if anyone can find it. I am calculating it, but its very complicated, and I will need a check against my calculations.
 
  • #10
Rap said:
I need [tex](A \cdot \nabla)B[/tex] in cylindrical coordinates too, if anyone can find it. I am calculating it, but its very complicated, and I will need a check against my calculations.

go to post #4 and follow the link.
 
  • #11
Rap said:
I need [tex](A \cdot \nabla)B[/tex] in cylindrical coordinates too, if anyone can find it. I am calculating it, but its very complicated, and I will need a check against my calculations.
Are you sure you do need it in cylindrical coordinates?
[tex](A \cdot \nabla)B[/tex] can usually be evaluated without a coordinate system and then the system introduced.
What is the equation you need it for?
 
  • #12
Meir Achuz said:
Are you sure you do need it in cylindrical coordinates?
[tex](A \cdot \nabla)B[/tex] can usually be evaluated without a coordinate system and then the system introduced.
What is the equation you need it for?

Can you show us? That's exactly what I am looking for.

Thanks
 
  • #13
Meir Achuz said:
Are you sure you do need it in cylindrical coordinates?
[tex](A \cdot \nabla)B[/tex] can usually be evaluated without a coordinate system and then the system introduced.
What is the equation you need it for?

I need to calculate [tex]\rho (\vec V \cdot \nabla) \vec V[/tex] in the Boltzmann fluid equation for conservation of momentum. I am sure I want it in cylindrical coordinates. I also want to have the general statement for future reference.
 
  • #14
yungman said:
go to post #4 and follow the link.

Bingo. That's it, thanks.

Edit - and it matches my calculations! This is rare. LOL - makes me worry about Wolfram.
 
Last edited:
  • #15
Rap said:
I need to calculate [tex]\rho (\vec V \cdot \nabla) \vec V[/tex] in the Boltzmann fluid equation for conservation of momentum. I am sure I want it in cylindrical coordinates. I also want to have the general statement for future reference.
[tex](\vec V \cdot \nabla) \vec V=\vec V[/tex] in any coordinate system.
 
Last edited:
  • #16
Meir Achuz said:
[tex](\vec V \cdot \nabla) \vec V=\vec V[/tex] in any coordinate system.

Any magic formula for my case?
 
  • #17
yungman said:
Any magic formula for my case?
What does A.del act on in your case?
 
  • #18
Meir Achuz said:
What does A.del act on in your case?

Acting on B. I am hopping to get the general formula so I don't have to rely blindly on the Mathworld Wolfram formulas for different coordinate systems. I have not manage to find any definition of Convection Operator so for now, the only way to solve any problem is to blindly using the formulas.

Thanks
 
  • #19
Meir Achuz said:
[tex](\vec V \cdot \nabla) \vec V=\vec V[/tex] in any coordinate system.

I don't see how that's possible. If V is constant, [tex](\vec V \cdot \nabla) \vec V=0[/tex] for example, because any spatial derivative of V is zero.
 
  • #20
Rap said:
I don't see how that's possible. If V is constant, [tex](\vec V \cdot \nabla) \vec V=0[/tex] for example, because any spatial derivative of V is zero.
I'm sorry. I thought he meant Del with respect to V.
You can write [tex](\vec V \cdot \nabla) \vec V=(1/2)\nabla(V^2)<br /> -{\vec V}\times(\nabla\times{\vec V})[/tex], if that helps.
If a specific form of V is given,
[tex](\vec V \cdot \nabla) \vec V[/tex] can usually be worked out directly.
 
  • #21
Meir Achuz said:
I'm sorry. I thought he meant Del with respect to V.
You can write [tex](\vec V \cdot \nabla) \vec V=(1/2)\nabla(V^2)<br /> -{\vec V}\times(\nabla\times{\vec V})[/tex], if that helps.
If a specific form of V is given,
[tex](\vec V \cdot \nabla) \vec V[/tex] can usually be worked out directly.

Thanks, that does help, because I am dealing with irrotational flow [tex]\nabla \times \vec V=0[/tex].
 
  • #22
Meir Achuz said:
I'm sorry. I thought he meant Del with respect to V.
You can write [tex](\vec V \cdot \nabla) \vec V=(1/2)\nabla(V^2)<br /> -{\vec V}\times(\nabla\times{\vec V})[/tex], if that helps.
If a specific form of V is given,
[tex](\vec V \cdot \nabla) \vec V[/tex] can usually be worked out directly.

Yes, this is what I am looking for. Can you kindly put down the derivation also? I want to learn how it come about.

Many thanks.
 
  • #23
yungman said:
Yes, this is what I am looking for. Can you kindly put down the derivation also? I want to learn how it come about.

I don't think you want my calculations - they are very inelegant and messy. I know there is a general way to calculate these things that is very elegant and much more informative. Check out http://en.wikipedia.org/wiki/Curvilinear_coordinates

The case of cylindrical coordinates is probably the simplest case possible. The fundamental thing is the Jacobian.
 
  • #24
Rap said:
I don't think you want my calculations - they are very inelegant and messy. I know there is a general way to calculate these things that is very elegant and much more informative. Check out http://en.wikipedia.org/wiki/Curvilinear_coordinates

The case of cylindrical coordinates is probably the simplest case possible. The fundamental thing is the Jacobian.

What I meant is the derivation of:

[tex](\vec V \cdot \nabla) \vec V=(1/2)\nabla(V^2)-{\vec V}\times(\nabla\times{\vec V})[/tex]

I believe Meir Achuz said it is independent to coordinate systems.
 
  • #25
yungman said:
What I meant is the derivation of:

[tex](\vec V \cdot \nabla) \vec V=(1/2)\nabla(V^2)-{\vec V}\times(\nabla\times{\vec V})[/tex]

I believe Meir Achuz said it is independent to coordinate systems.

I would do it using Einstein notation. It boils everything down a bunch of easy steps and one hard step. Einstein notation means sum over every repeated index (they only show up alone or in pairs) [itex]\partial_i[/itex] means [itex]\partial/\partial x_i[/itex] where [itex]x_1,x_2,x_3=x,y,z[/itex]. The components of a vector A are given by [itex]A_i[/itex]

Dot product
[tex]\vec A \cdot \vec B \rightarrow A_i B_i[/tex]

Cross product
[tex](\vec A \times \vec B)_i=\epsilon_{ijk}A_j B_k[/tex]

where [itex]\epsilon_{ijk}[/itex] is the permutation pseudotensor. Its equal to 1 for even permutations of 123 (e.g. 231, 312, etc.) and -1 for odd permutations (132, 321, etc.)

So what we want to prove is

[tex]V \times (\nabla \times V)=\frac{1}{2}\nabla V^2-(V\cdot \nabla) V[/tex]

In Einstein notation, thats

[tex]\epsilon_{ijk}V_j(\epsilon_{k\ell m}\partial_\ell V_m) = \frac{1}{2}\partial_i (V_j V_j) - V_j\partial_j V_i[/tex]

Collecting some terms and realizing that [itex]\partial_i (V_j V_j)=2V_j\partial_i V_j[/itex] we get:

[tex]\epsilon_{ijk}\epsilon_{k\ell m}V_j \partial_\ell V_m = V_j\partial_i V_j - V_j\partial_j V_i[/tex]

Now comes the hard part. We have to realize that:

[tex]\epsilon_{ijk}\epsilon_{k\ell m}=\delta_{i\ell}\delta_{jm}-\delta_{im}\delta_{j\ell}[/tex]

where [itex]\delta_{ij}[/itex] is 1 when i=j, zero otherwise. The rest is easy. For example

[tex]\delta_{i\ell}V_j\partial_\ell V_m=V_j\partial_i V_m[/tex]

I know that last step is not straightforward, but if you think about it, its true, and its independent of all the vectors and partial derivatives, its the core of the proof.
 
  • #26
yungman said:
Yes, this is what I am looking for. Can you kindly put down the derivation also? I want to learn how it come about.
Many thanks.
There is a derivation of this and similar vector differential identities without introducing coordinate systems in the first chapter of Franklin's "Classical Electromagnetism".
 
  • #27
Meir Achuz said:
There is a derivation of this and similar vector differential identities without introducing coordinate systems in the first chapter of Franklin's "Classical Electromagnetism".

Can you please write them out here? I don't have the book.

Is it a good book? I have another question in another thread that I am not happy with all the books that I have on the coordiantes transformation. Even as good as Griffiths don't get into that.

Thanks

Alan
 
  • #28
Once you know the method, the derivation amounts to just writing the formula: [tex](\vec V \cdot \nabla) \vec V=(1/2)\nabla(V^2)<br /> -{\vec V}\times(\nabla\times{\vec V})[/tex].
It uses the algebraic identity
[tex]a\times(b\times c)=b(a\cdot c)-c(a\cdot b).[/tex]
Letting [tex]b=\nabla[/tex], [tex]a=V_1[/tex], [tex]c=V_2[/tex],
and considering [tex]V_1[/tex] to be a constant vector for the mathematical moment, you get:
[tex]\nabla(V_1\cdot V_2)=V_1\times(\nabla\times V_2)<br /> +(V_1\cdot\nabla)V_2[/tex].
Note: Since V_1 is constant, it must always be to the left of
[tex]\nabla[/tex] on the RHS. Do this again, considering V_2 constant. This gives the final answer.
I have tried to describe a method that takes several pages in the book, but I hope you can get the point.
 
Last edited:
  • #29
The last equation in the previous post should be:
[tex]\nabla(V_1\cdot V_2)=V_1\times(\nabla\times V_2)<br /> +(V_1\cdot\nabla)V_2[/tex].
 
  • #30
Meir Achuz said:
There is a derivation of this and similar vector differential identities without introducing coordinate systems in the first chapter of Franklin's "Classical Electromagnetism".

Coordinate systems are not introduced using this notation. See http://en.wikipedia.org/wiki/Abstract_index_notation
 

Similar threads

  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 10 ·
Replies
10
Views
1K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 3 ·
Replies
3
Views
1K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 23 ·
Replies
23
Views
5K