Dot and Cross Products (of Gradients)

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Homework Help Overview

The discussion revolves around the properties of the dot and cross products of gradients, specifically questioning the identity of the expressions involving the divergence and curl of a vector field. Participants are exploring why the divergence of the curl of a vector field is zero and the implications of the Laplacian operator in this context.

Discussion Character

  • Conceptual clarification, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • Participants are questioning the identity of the expressions involving the divergence and curl, particularly whether \nabla \bullet \nabla \times \vec{A} is equivalent to \nabla \bullet (\nabla \times \vec{A}). There is also exploration of why \nabla \bullet \nabla \times \vec{A} equals zero for any vector field. Some participants attempt to visualize the problem geometrically and others suggest working through calculations to clarify the reasoning.

Discussion Status

The discussion is active, with various interpretations being explored. Some participants provide guidance on relevant mathematical theorems, while others share their calculations and reasoning. There is no explicit consensus, as differing views on the calculations and properties of the operators are presented.

Contextual Notes

Participants are navigating the complexities of vector calculus, particularly the definitions and properties of the Laplacian, divergence, and curl. There are indications of confusion regarding the application of these operators, as well as the need for clarity on notation and mathematical conventions.

jeff1evesque
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Statement:
I was wondering if the following are identical,
\nabla \bullet \nabla \times \vec{A} = \nabla \bullet (\nabla \times \vec{A}) ? (#1)

Also, more importantly I was wondering if someone could explain to me why the following is zero for any vector,

\nabla \bullet \nabla \times \vec{A} = 0?

Reasoning:
If we look at \nabla \bullet \nabla \times \vec{A}, Isn't \nabla \bullet \nabla the laplacian, or \nabla^{2}? Is that the reason we cannot perform the operation in equation (#1) above- the laplacian is a function that needs a vector field to be operated on, and there is none. So \nabla \bullet \nabla = 0.Thanks, a lot,JL
 
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jeff1evesque said:
Statement:
I was wondering if the following are identical,
\nabla \bullet \nabla \times \vec{A} = \nabla \bullet (\nabla \times \vec{A}) ? (#1)

Also, more importantly I was wondering if someone could explain to me why the following is zero for any vector,

\nabla \bullet \nabla \times \vec{A} = 0?

Reasoning:
If we look at \nabla \bullet \nabla \times \vec{A}, Isn't \nabla \bullet \nabla the laplacian, or \nabla^{2}? Is that the reason we cannot perform the operation in equation (#1) above- the laplacian is a function that needs a vector field to be operated on, and there is none. So \nabla \bullet \nabla = 0.


Thanks, a lot,


JL

Yeah they're identical. Check out http://en.wikipedia.org/wiki/Triple_product" on what's called the "triple product."
 
Last edited by a moderator:
\nabla \bullet \nabla \times \vec{A} = 0 = div(curl(A))

I mean if you think of it in terms of geometrical vectors, then if we're looking at the divergence of the amount of A which is contained it sort of intuitively seems like it should be zero.

If it's too hard to visualize then just work it out. Assume A is a vector function and take the curl of A then the divergence of the curl of A and by Clairaut's theorem you should see that it all cancels out.

Secondly (\nabla \bullet \nabla) \times \vec{A} makes no sense you cannot take the cross product of a scalar operator (which the laplacian is).

Finally the laplacian doesn't equal zero. It's a linear operator, it doesn't equal anything be itself. In fact it really doesn't have any meaning by itself if it's not being applied to a function in euclidean space.
 
It's more complicated then that. Work it out and you'll see the derivatives canceling.
 
Pengwuino said:
It's more complicated then that. Work it out and you'll see the derivatives canceling.

I tried, for example I let \vec{H} = 2xy\hat{x} + x^2y^2z^2\hat{y} + x^3y^3z^3\hat{y}.

When I take the curl,
\nabla \times \vec{H} = [3x^3y^2z^3 - 2x^{2}y^{2}z]\hat{x} + [3x^{2}y^{3}z^{3} - 0]\hat{y} + [2xy^{2}z^{2} - 2x]\hat{z} and let that whole thing equal \alpha

So now when I take the divergence,
\nabla \bullet \alpha = (9x^{2}y^{2}z^{3} - 4xy^{2}z) + 9(x^{2}y^{2}z^{3}) + (4xy^{2}z) = 18(x^{2}y^{2}z^{3}) \neq 0

It seems like it almost worked out, the second term above needed a sign change, but I've reviewed the calculation, and it doesn't seem that I've made a mistake.

...makes no sense you cannot take the cross product of a scalar operator (which the laplacian is).
That was along the lines I was thinking, the laplacian requires a vector to be operated on, and it doesn't have one.
 
Last edited:
jeff1evesque said:
I tried, for example I let \vec{H} = 2xy\hat{x} + x^2y^2z^2\hat{y} + x^3y^3z^3\hat{y}.

When I take the curl,
\nabla \times \vec{H} = [3x^3y^2z^3 - 2x^{2}y^{2}z]\hat{z} + [3x^{2}y^{3}z^{3} - 0]\hat{y} + [2xy^{2}z^{2} - 2x]\hat{z} and let that whole thing equal \alpha

I think your second term (the y-hat term) is missing a minus sign here.
 
Hi jeff1evesque! :smile:

(have a del: ∇ and use \cdot, not \bullet:wink:)
jeff1evesque said:
I was wondering if the following are identical,
\nabla \bullet \nabla \times \vec{A} = \nabla \bullet (\nabla \times \vec{A}) ? (#1)

Also, more importantly I was wondering if someone could explain to me why the following is zero for any vector,

\nabla \bullet \nabla \times \vec{A} = 0?

Reasoning:
If we look at \nabla \bullet \nabla \times \vec{A}, Isn't \nabla \bullet \nabla the laplacian, or \nabla^{2}? Is that the reason we cannot perform the operation in equation (#1) above- the laplacian is a function that needs a vector field to be operated on, and there is none. So \nabla \bullet \nabla = 0.

You're very confused. :redface:

Learn the following:

div curl = curl grad = 0

div(curlA) = ∇.(∇xA) = 0

curl(gradφ) = ∇x(∇φ) = 0

div(gradφ) = ∇2φ = Laplacian.

∇.(∇xA) is zero for the same reason that B.(BxA) is zero. :wink:
 
alphysicist said:
I think your second term (the y-hat term) is missing a minus sign here.

The y-hat consists of the following,
[\frac{\partial}{\partial x}(x^{3}y^{3}z^{3}) - \frac{\partial}{\partial z}(2xy)]\hat{y} = [3x^{2}y^{3}z^{3} - 0]\hat{y}

Am I incorrect?
 
jeff1evesque said:
The y-hat consists of the following,
[\frac{\partial}{\partial x}(x^{3}y^{3}z^{3}) - \frac{\partial}{\partial z}(2xy)]\hat{y} = [3x^{2}y^{3}z^{3} - 0]\hat{y}

Am I incorrect?

That is incorrect; it is the negative of that.
 
  • #10
alphysicist said:
That is incorrect; it is the negative of that.

Thanks, I totally forgot (the notation is similar to taking determinants).
 

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