Tensor Calculations given two vectors and a Minkowski metric

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Homework Help Overview

The discussion revolves around tensor calculations involving two vectors, ##A## and ##B##, and a Minkowski metric, specifically focusing on expressions such as ##A^{\nu}B^{\mu}##, ##A^{\nu}B_{\mu}##, and ##A^{\nu}B_{\nu}##. Participants are exploring the implications of these expressions in the context of tensor notation and Lorentz transformations.

Discussion Character

  • Conceptual clarification, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • Participants are questioning the interpretation of the expressions, particularly whether ##A^{\nu}B^{\mu}## can be considered a tensor expression or if it results in a scalar. There is also discussion about the identity of parts (b) and (c) and the implications of using the Minkowski metric in these calculations.

Discussion Status

There is an active exploration of the definitions and properties of the expressions involved. Some participants suggest that part (a) should yield a scalar rather than a matrix, while others are examining the transformation properties of the vectors under Lorentz transformations. No explicit consensus has been reached, but various interpretations and clarifications are being discussed.

Contextual Notes

Participants are navigating the complexities of tensor notation and the implications of the Minkowski metric, with some expressing confusion over the correct formulation of the expressions and their meanings in a coordinate-independent context.

Arman777
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Homework Statement
Calculating tensor equations
Relevant Equations
Tensor Identities
Let us suppose we are given two vectors ##A## and ##B##, their components ##A^{\nu}## and ##B^{\mu}##. We are also given a minkowski metric ##\eta_{\alpha \beta} = \text{diag}(-1,1,1,1)##

In this case what are the

a) ##A^{\nu}B^{\mu}##
b) ##A^{\nu}B_{\mu}##
c) ##A^{\nu}B_{\nu}##

For part (a), it seems that we are going to obtain a 4x4 matrix with components
$$A^{\nu}B^{\mu} = \begin{bmatrix}
A^0B^0 & ... & A^0B^3 \\
A^1B^0 & ... & A^1B^3\\
A^2B^0 & ... & A^2B^3 \\
A^3B^0 & ... & A^3B^3\\
\end{bmatrix}$$

For part (b) I have written something like this

$$A^{\nu}B^{\gamma}\eta_{\mu \gamma} = D^{\nu}_{\mu} =
\begin{bmatrix}
A^0B^0\eta_{00} & A^0B^1\eta_{11} & A^0B^2\eta_{22} & A^0B^3\eta_{33}\\
A^1B^0\eta_{00} & A^1B^1\eta_{11} & A^1B^2\eta_{22} & A^1B^3\eta_{33}\\
A^2B^0\eta_{00} & A^2B^1\eta_{11} & A^2B^2\eta_{22} & A^2B^3\eta_{33}\\
A^3B^0\eta_{00} & A^3B^1\eta_{11} & A^3B^2\eta_{22} & A^3B^3\eta_{33}\\
\end{bmatrix}$$Actually the ##D^{0}_{0}## becomes ## = A^0B^0\eta_{00} + A^0B^1\eta_{01} + A^0B^2\eta_{02} + A^0B^3\eta_{03}## but that is just ##A^0B^0\eta_{00}##

For part c its just the sum I guess so I need to write

##A^{\nu}B_{\nu} = A^{\nu}B^{\gamma}\eta_{\nu \gamma} = A^0B^0\eta_{00} + A^1B^1\eta_{11} + A^2B^2\eta_{22} + A^3B^3\eta_{33}##

Are these expressions ttrue ?

If I do something like this

##B_{\mu} = \eta_{\mu \nu}B^{\nu}## and write ##B_{\mu} = (-B^0, B^1, B^2, B^3)## and just multiply this with ##A^{\nu}## I would have got the same result right ?
 
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Arman777 said:
In this case what are the

a) ##A^{\nu}B^{\mu}##
b) ##A^{\nu}B_{\mu}##
c) ##A^{\nu}B_{\mu}##
(c) is identical to (b). I think you must have written one of them down wrong.

I think (a) gives a coordinate-dependent scalar, not a matrix, as it simply represents the product of
##A^{\nu}## (a scalar, as it is a component of A) with ##B^{\mu}## (a scalar, as it is a component of B). I have not come across any tensor notation that allows interpretation of ##A^{\nu}B^{\mu}## as a tensor expression.

We can however interpret ##A^{\nu}B_{\mu}## as a tensor expression, and it aligns with the second matrix you show above - which you label as (a) but I think you meant (b).

For (c), later in your post you rewrite it as different to what you write at the top. I agree with the solution you give for that - a sum that returns a scalar - in this case also a 0-0 tensor (ie coordinate-independent), as we can interpret your correction of (c) as a tensor expression.

To your last question, I would say Yes, assuming you're asking about (b), and you have to use an index different from ##\nu## as the second index of the Minkowski tensor. I would write:

$$A^{\nu}B_{\mu} = A^{\nu}\left(B^{\gamma} \eta_{\mu\gamma}\right)$$
 
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andrewkirk said:
(c) is identical to (b). I think you must have written one of them down wrong.

I think (a) gives a coordinate-dependent scalar, not a matrix, as it simply represents the product of
##A^{\nu}## (a scalar, as it is a component of A) with ##B^{\mu}## (a scalar, as it is a component of B). I have not come across any tensor notation that allows interpretation of ##A^{\nu}B^{\mu}## as a tensor expression.

We can however interpret ##A^{\nu}B_{\mu}## as a tensor expression, and it aligns with the second matrix you show above - which you label as (a) but I think you meant (b).

For (c), later in your post you rewrite it as different to what you write at the top. I agree with the solution you give for that - a sum that returns a scalar - in this case also a 0-0 tensor (ie coordinate-independent), as we can interpret your correction of (c) as a tensor expression.

To your last question, I would say Yes, assuming you're asking about (b), and you have to use an index different from ##\nu## as the second index of the Minkowski tensor. I would write:

$$A^{\nu}B_{\mu} = A^{\nu}\left(B^{\gamma} \eta_{\mu\gamma}\right)$$
I have edited my post maybe you can do the same
 
andrewkirk said:
I think (a) gives a coordinate-dependent scalar, not a matrix, as it simply represents the product of
Aν (a scalar, as it is a component of A) with Bμ (a scalar, as it is a component of B). I have not come across any tensor notation that allows interpretation of AνBμ as a tensor expressio
This is interesting. But I cannot understand how can it give us a scalar ?
Let me write ##A^{\nu}B^{\mu} = A^{\nu}B_{\gamma}g^{\mu \gamma}##

##A^{\nu}B_{\gamma}## This is the same as ##D^{\nu}_{\gamma}## so it seems that my result is correct.
 
By definition, a scalar is a quantity, which doesn't change under Lorentz transformations. I'm a bit puzzled, what the correct question c) is. If it's ##A_{\nu} B^{\nu}## it means, as was also said before ##\eta_{\mu \nu} A^{\mu} B^{\nu}## (note that you have to sum over repeated indices from 0 to 3).

Now think, how do vector components like ##A^{\mu}## and ##B^{\nu}## transform under a Lorentz transformation, and what it actually means that a transformation is a Lorentz transformation (in relation to the Minkowski "metric").
 
vanhees71 said:
Now think, how do vector components like ##A^{\mu}## and ##B^{\nu}## transform under a Lorentz transformation, and what it actually means that a transformation is a Lorentz transformation (in relation to the Minkowski "metric").

Its just ##A^{\alpha}\Lambda^{\bar{\beta}}_{\bar{\alpha}}= A^{\bar{\beta}}##

where

$$\Lambda^{\bar{\beta}}_{\bar{\alpha}} =
\begin{bmatrix}
\gamma&-v\gamma&0&0\\
-v\gamma&\gamma&0&0\\
0&0&1&0\\
0&0&0&1
\end{bmatrix}$$
 
Arman777 said:
This is interesting. But I cannot understand how can it give us a scalar ?
Let me write ##A^{\nu}B^{\mu} = A^{\nu}B_{\gamma}g^{\mu \gamma}##
What do you think either of those expressions mean? Try to express it in terms of vectors A, B and the metric ##\eta## without using subscripts - ie in coordinate-independent language. You won't be able to, which indicates that the expression is coordinate-dependent.

By contrast, I can express (b) as vector A applied to the covector of B given a metric ##\eta##, and (c) as the trace of (b). These are coordinate-independent descriptions.
 
Arman777 said:
Its just ##A^{\alpha}\Lambda^{\bar{\beta}}_{\bar{\alpha}}= A^{\bar{\beta}}##

where

$$\Lambda^{\bar{\beta}}_{\bar{\alpha}} =
\begin{bmatrix}
\gamma&-v\gamma&0&0\\
-v\gamma&\gamma&0&0\\
0&0&1&0\\
0&0&0&1
\end{bmatrix}$$
Good! And what follows then for ##A_{\alpha} B^{\alpha}## and ##A_{\bar{\alpha}} B^{\bar{\alpha}}##? (NB I don't like to put the basis-distinguishing label to the indices of tensor components but put it on the symbol, i.e., I'd rather write
$$A^{\prime \beta}={\Lambda^{\beta}}_{\alpha} A^{\alpha}.$$
Also note that you should carefully keep both the horizontal and the vertical placement of the indices under control!
 

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