Levi - Civita tensor and operations with it

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Homework Help Overview

The discussion revolves around the Levi-Civita tensor and its applications in vector operations, specifically focusing on simplifying the expression for the square of the cross product of two vectors, \((\vec{A} \times \vec{B})^2\). Participants explore the implications of tensor notation and the relationships between various tensor identities.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the representation of vector operations using the Levi-Civita symbol and question the notation used in expressing vector and tensor equations. There is an exploration of how to simplify the expression \((\vec{A} \times \vec{B})^2\) using tensor identities, particularly the epsilon-delta identity.

Discussion Status

Some participants provide hints and guidance on how to approach the problem, including the introduction of dummy indices and the use of identities to simplify expressions. There is acknowledgment of different notational preferences and a recognition of the need for clarity in tensor notation. Multiple interpretations of the notation and its implications are being explored.

Contextual Notes

One participant notes their self-study of tensor concepts without formal introduction, highlighting the challenges of understanding tensor identities and their derivations. The discussion reflects a mix of familiarity with the subject matter and the need for further clarification on specific tensor operations.

Yegor
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I read about symbols which simplify representing vectorial operations.
For example
A_\mu\hat{e_\mu}=\sum_{i=1}^{3} A_i\hat{e_i}=\vec{A}
also
\vec{A}\times\vec{B}=\sum_{i,j,k=1}^{3} \epsilon_{ijk}\hat{e_i}A_j B_k = \epsilon_{\lambda\mu\nu} \hat{e_\lambda} A_\mu B_\nu
As an exercise i have to simplify (\vec{A}\times\vec{B})^2.
Can anybody help me? I don't know what to do with (\epsilon_{\lambda\mu\nu} \hat{e_\lambda} A_\mu B_\nu)^2.
Thank you
 
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Most tensorial calculations I see leave out the basis vector. You can restore it if you wish.
\vec{A}\times\vec{B}= \epsilon_{\lambda\mu\nu} A_\mu B_\nu
is a vector (with, in my notation, one "free" index and two "dummy" indices), as you indicate.

(\vec{A}\times\vec{B})^2 is a scalar.
In vector notation, this is (\vec{A}\times\vec{B})\cdot(\vec{A}\times\vec{B}). In tensorial notation, you introduce new dummy indices for each factor, then contract [via the metric, which I suppress for simplicity]:
(\vec{A}\times\vec{B})^2= \epsilon_{\lambda\mu\nu} A_\mu B_\nu \epsilon_{\lambda\rho\sigma} A_\rho B_\sigma. You can rewrite this is as \epsilon_{\lambda\mu\nu} \epsilon_{\lambda\rho\sigma} A_\mu B_\nu A_\rho B_\sigma.

Now, you have to use an identity to express \epsilon_{\lambda\mu\nu} \epsilon_{\lambda\rho\sigma} in terms of \delta_{\mu\rho}, which I assume you must have been introduced to.

That should get you started.
 
robphy said:
Most tensorial calculations I see leave out the basis vector. You can restore it if you wish.
\vec{A}\times\vec{B}= \epsilon_{\lambda\mu\nu} A_\mu B_\nu

This is bad notation: either write a vector equation (as Yegor has), or write a component equation (like \left( \vec{A}\times\vec{B} \right)_\lambda = \epsilon_{\lambda\mu\nu} A_\mu B_\nu, or \vec{C} = \vec{A}\times\vec{B} and C_\lambda = \epsilon_{\lambda\mu\nu} A_\mu B_\nu, but never set a vector equal to a number, or use both standard vector notation and Penrose's "abstract index notation" in the same equation.

Regards,
George
 
I agree about the missing lambda index. I would have done (and normally do) as you said. In fact, I would have used upper and lower indices... and use an explicit metric. However, I didn't want to clutter the discussion with introducing too much of my own symbols. (I think of a single free index like an arrowhead.)

I don't think I ever set a vector equal to a number... unless you are interpreting the greek-indexed quantities as numbers---I am thinking of them as "slots" (in my notation).

Maybe when intended for a beginner, it would have been best to be fully consistent with notation... even if I had to explain all of the notation. I was merely trying to get the following idea across: use a new set of dummy indices and use the epsilon-delta identity.

In any case, point taken. Thanks.
 
Thank you Robphy for the hint.
This is what i got.
\epsilon_{\lambda\mu\nu} \epsilon_{\lambda\rho\sigma} =\delta_{\mu\rho}\delta_{\nu\sigma}-\delta_{\mu\sigma}\delta_{\nu\rho}
then
(\delta_{\mu\rho}\delta_{\nu\sigma}-\delta_{\mu\sigma}\delta_{\nu\rho}) A_\mu B_\nu A_\rho B_\sigma=\delta_{\mu\rho}\delta_{\nu\sigma}A_\mu B_\nu A_\rho B_\sigma-\delta_{\mu\sigma}\delta_{\nu\rho}A_\mu B_\nu A_\rho B_\sigma=(A_\mu)^2 (B_\nu )^2-(A_\mu B_\mu)(A_\nu B_\nu)
Tell me please, is it OK?
In fact i wasn't introduced to anything about tensors. I just read book (Mechanics) by myself and there is an interesting appendix about it. Thus this \epsilon_{\lambda\mu\nu} \epsilon_{\lambda\rho\sigma} =\delta_{\mu\rho}\delta_{\nu\sigma}-\delta_{\mu\sigma}\delta_{\nu\rho} expression i understand very intuitively. I see that it is true, but if someone could show or give me an idea how it is derived precisely i'd be very grateful
 
Last edited:
Yes, that's correct... up to possible notational convention preferences.
You might recognize the so-called Lagrange identity:
|\vec A \times \vec B|^2+|\vec A \cdot \vec B|^2 = |\vec A|^2 |\vec B|^2.

I have never found a satisfactory derivation of the epsilon-delta identities.
However, here is a useful mnemonic involving the determinant (which you can verify)
\epsilon_{\lambda\mu\nu} \epsilon_{\lambda\rho\sigma} =<br /> \delta_{\mu\rho}\delta_{\nu\sigma}-\delta_{\mu\sigma}\delta_{\nu\rho}<br /> =\left|\begin{array}{cc}<br /> \delta_{\mu\rho} &amp; \delta_{\mu\sigma} \\<br /> \delta_{\nu\rho} &amp; \delta_{\nu\sigma}<br /> \end{array}\right|<br />
This can be generalized.

By the way, congratulations on teaching this to yourself. You might try learning to use these methods to derive various identities in vector algebra (like the BAC-CAB identity and the Jacobi identity) and vector calculus (which would be useful in, say, electrodynamics).
 
You might recognize the so-called Lagrange identity:
|\vec A \times \vec B|^2+|\vec A \cdot \vec B|^2 = |\vec A|^2 |\vec B|^2
Wheee! It's really very beautiful! I haven't noticed it before (but know this identity).
Thank you very much for your advices. It really looks like it worth having a practise in such things.
 
Oh. i just understood that (A_\mu)^2 (B_\nu )^2-(A_\mu B_\mu)(A_\nu B_\nu)=(A_\mu)^2 (B_\mu )^2-(A_\mu B_\mu)^2 !
 

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