Proving vector identities using Cartesian tensor notation

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SUMMARY

The discussion focuses on proving the vector identity \(\nabla \cdot (B \times A) = (\nabla \times A) \cdot B - A \cdot (\nabla \times B)\) using Cartesian tensor notation. Participants highlighted the importance of correctly applying the product rule and managing indices, specifically noting that the left-hand side should be expressed as \(\nabla \cdot (A \times B)\). Additionally, the calculation of the partial derivative of the quadratic form \(A_{rs}x_{r}x_{s,k}\) was addressed, emphasizing the independence of the variables involved.

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  • Understanding of vector calculus and identities
  • Familiarity with Cartesian tensor notation
  • Knowledge of partial derivatives and the product rule
  • Proficiency in manipulating indices in tensor equations
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  • Learn about the properties of the Levi-Civita symbol in tensor notation
  • Explore advanced topics in vector identities and their proofs
  • Practice problems involving partial derivatives in tensor calculus
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Homework Statement


1. Establish the vector identity
<br /> <br /> \nabla . (B x A) = (\nabla x A).B - A.(\nabla x B)<br />

2. Calculate the partial derivative with respect to x_{k} of the quadratic form A_{rs}x_{r}x_{s} with the A_{rs} all constant, i.e. calculate A_{rs}x_{r}x_{s,k}

Homework Equations


The Attempt at a Solution


1.
<br /> <br /> \nabla . (B x A) = \epsilon_{ijk}A_{j}B_{k,i}<br />

Now I don't know what to do next.

2.

<br /> A_{rs}x_{r}x_{s,k} = A_{rs}\partial_{k}(x_{r}x_{s}) = A_{rs}(x_{r}\partial_k x_{s} + x_{s}\partial_k x_{r})

I have no idea if this is right or not.

I'm pretty good at proving vector identities (and Cartesian tensor notation in general), but I get lost when partial derivatives/nablas are involved. Any tips would be greatly appreciated!

Homework Statement


Homework Equations


The Attempt at a Solution

 
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Your notation is unclear and misleading. When you write \nabla\cdot(B\times A) = \epsilon_{ijk}A_j B_{k,i}, it looks like you're only differentiating Bk. Also, you got the indices wrong since you have BxA, not AxB. On the other hand, you should have \nabla\cdot(A \times B) on the LHS anyway.

Instead, you should write

\nabla\cdot(A \times B) = \partial_i (\epsilon_{ijk} A_j B_k) = \epsilon_{ijk} \partial_i (A_j B_k)

Use the product rule to differentiate and then convert back to vector notation.In the second problem, use the fact that the x's are independent, so \partial_i x_j = 0 if i \ne j and \partial_i x_j = 1 if i = j, i.e. \partial_i x_j = \delta_{ij}.
 
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