Using the Divergence Theorem to Solve Vector Calculus Problems

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Homework Help Overview

The discussion revolves around the application of the Divergence Theorem in the context of vector calculus, specifically involving tensor operations and vector fields. Participants are exploring the mathematical implications of the divergence of a tensor product and its relation to vector fields.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants are attempting to apply the Divergence Theorem to a tensor product involving a vector field and a normal vector. They are questioning the divergence of the tensor and its implications for the integral expressions. Some are exploring the relationship between the divergence of the tensor and the gradient of the vector field.

Discussion Status

The discussion is ongoing, with participants providing insights and corrections regarding the divergence of the tensor product. There is a mix of interpretations being explored, particularly concerning the treatment of constant vectors and the implications of the divergence theorem.

Contextual Notes

Participants note that the problem is not a formal homework assignment but rather an optional exercise, which may influence the depth of exploration and the nature of the questions raised.

SP90
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Homework Statement



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Homework Equations



So I have that v \otimes n = \left( \begin{array}{ccc}<br /> v_{1}n_{1} &amp; v_{1}n_{2} &amp; v_{1}n_{3} \\<br /> v_{2}n_{1} &amp; v_{2}n_{2} &amp; v_{2}n_{3} \\<br /> v_{3}n_{1} &amp; v_{3}n_{2} &amp; v_{3}n_{3} \end{array} \right) <br />

The Attempt at a Solution



I've tried applying the Divergence theorem for Tensors:
<br /> \int_{\partial B} ( v \otimes n )n dA = \int_{B} \nabla \cdot ( v \otimes n ) dV<br />

But that doesn't lead anywhere particularly useful. I thought it might be worth noting that \nabla \cdot ( v \otimes n ) = \frac{dv_{1}}{dx_{1}}n_{1}+\frac{dv_{2}}{dx_{2}}n_{2} + \frac{dv_{3}}{dx_{3}}n_{3} but I can't seem to get anywhere near \nabla v

And this problem isn't homework, it's just an optional exercise, but it's frustrated me for a while and I figured I should get some pointers.
 

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SP90 said:
I thought it might be worth noting that \nabla \cdot ( v \otimes n ) = \frac{dv_{1}}{dx_{1}}n_{1}+\frac{dv_{2}}{dx_{2}}n_{2} + \frac{dv_{3}}{dx_{3}}n_{3} but I can't seem to get anywhere near \nabla v

No it's not! I think you will find (assuming n is constant) that \nabla \cdot ( v \otimes n ) = n \cdot (\nabla v) + n (\nabla \cdot v)

Especially note that it is a vector and not a scalar
 
Isn't \nabla \cdot v \otimes n = (n_{1}(\frac{dv_{1}}{dx_{1}}+\frac{dv_{2}}{dx_{2}}+\frac{dv_{3}}{dx_{3}}), n_{2}(\frac{dv_{1}}{dx_{1}}+\frac{dv_{2}}{dx_{2}}+\frac{dv_{3}}{dx_{3}}), n_{3}(\frac{dv_{1}}{dx_{1}}+\frac{dv_{2}}{dx_{2}}+\frac{dv_{3}}{dx_{3}}))

Which is n \cdot \nabla v?

This would make sense since it gives that

\int_{\partial B} ( v \otimes n )n dA = \int_{B} (\nabla v) ndV

And then since n is just so constant vector, the result follows.

Is that right? Or am I missing something?
 
SP90 said:
Isn't \nabla \cdot v \otimes n = (n_{1}(\frac{dv_{1}}{dx_{1}}+\frac{dv_{2}}{dx_{2}}+\frac{dv_{3}}{dx_{3}}), n_{2}(\frac{dv_{1}}{dx_{1}}+\frac{dv_{2}}{dx_{2}}+\frac{dv_{3}}{dx_{3}}), n_{3}(\frac{dv_{1}}{dx_{1}}+\frac{dv_{2}}{dx_{2}}+\frac{dv_{3}}{dx_{3}}))

Which is n \cdot \nabla v?

This would make sense since it gives that

\int_{\partial B} ( v \otimes n )n dA = \int_{B} (\nabla v) ndV

And then since n is just so constant vector, the result follows.

Is that right? Or am I missing something?

Of course not; you can't just get rid of the terms that give you trouble... This is what you need to show, but the formula I gave above is still correct.
 

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