What is the Last Term in the Expression for \nabla\cdot(\phi\vec{A})?

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Homework Help Overview

The discussion revolves around the verification of the vector calculus identity involving the divergence of a product of a scalar field and a vector field. The specific fields under consideration are given by the scalar function \(\phi = xy^2\) and the vector field \(\vec{A} = xzi - z^2j + xy^2k\). Participants are exploring the last term in the expression for \(\nabla \cdot (\phi \vec{A})\) and its implications.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants are attempting to compute \(\nabla \vec{A}\) and are questioning the formulation of the last term in the divergence expression. There is confusion regarding the operation of dotting a scalar with a vector and the correct interpretation of the identity.

Discussion Status

Some participants have provided insights into computing \(\nabla \vec{A}\) and have noted the expected outcome for the divergence of \(\vec{A}\). However, there is a lack of consensus on the correct formulation of the last term, with multiple interpretations being explored.

Contextual Notes

Participants are working under the constraints of homework rules and are trying to verify the identity without providing complete solutions. There is an emphasis on understanding the mathematical operations involved in the divergence of the product of a scalar and a vector field.

SAMSAM12
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Homework Statement


If [itex]\phi[/itex]= xy[itex]^{2}[/itex]
A=xzi-z[itex]^{2}[/itex]j+xy[itex]^{2}[/itex]k
B=zi+xj+yk

Verify that
[itex]\nabla[/itex].([itex]\phi[/itex]A)=A.[itex]\nabla[/itex][itex]\phi[/itex]+[itex]\phi[/itex].[itex]\nabla[/itex]A

Homework Equations


The Attempt at a Solution


I have worked out the first two parts of the question:
[itex]\phi[/itex]A = (x[itex]^{2}[/itex]y[itex]^{2}[/itex]z, -xy[itex]^{2}[/itex]z[itex]^{2}[/itex],x[itex]^{2}[/itex]y[itex]^{4}[/itex])
div([itex]\phi[/itex]A) = 2xy[itex]^{2}[/itex]z-2xyz[itex]^{2}[/itex]

A.grad([itex]\phi[/itex]) = (xy[itex]^{2}[/itex]z-2xyz[itex]^{2}[/itex])

I'm struggling to work out the last part:
[itex]\phi[/itex].[itex]\nabla[/itex]A

I tried working out [itex]\phi[/itex].grad(A)? but the answer sheet has
div(A) = z
[itex]\phi[/itex]div(A) = xy[itex]^{2}[/itex]z

why?
Any help appreciated.

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Ok, so to start compute [itex]\nabla A[/itex] which will just be [itex](\frac{\partial}{\partial x}\vec{A},\frac{\partial}{\partial y}\vec{A},\frac{\partial}{\partial z}\vec{A})[/itex]
You will end up with a scalar, which you can multiply by your scalar [itex]\phi[/itex] and you should end up with [itex]xy^2z[/itex].
 
Last edited:
SAMSAM12 said:

Homework Statement


If [itex]\phi[/itex]= xy[itex]^{2}[/itex]
A=xzi-z[itex]^{2}[/itex]j+xy[itex]^{2}[/itex]k
B=zi+xj+yk

Verify that
[itex]\nabla[/itex].([itex]\phi[/itex]A)=A.[itex]\nabla[/itex][itex]\phi[/itex]+[itex]\phi[/itex].[itex]\nabla[/itex]A
The last term of the expression doesn't make sense. You can't dot a scalar into anything. It should be
$$\nabla\cdot(\phi \vec{A}) = \vec{A}\cdot\nabla \phi + \phi\nabla\cdot\vec{A}$$
 
vela said:
The last term of the expression doesn't make sense. You can't dot a scalar into anything. It should be
$$\nabla\cdot(\phi \vec{A}) = \vec{A}\cdot\nabla \phi + \phi\nabla\cdot\vec{A}$$

Thank you.
 

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