Minkowski Inner Product and General Tensor/Matrix Question

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The discussion centers on understanding the Minkowski inner product and its relation to spacetime intervals in linear algebra. The inner product is defined using the Minkowski metric, represented as diag(-1, 1, 1, 1), which leads to confusion when transitioning from matrix form to numerical results. The inner product of two vectors A and B is expressed as ηαβAαBβ, and the process to derive the spacetime interval involves specific matrix multiplication rules. It is clarified that the squared spacetime interval indeed equals the inner product, with the multiplication order being crucial. The conversation emphasizes the importance of viewing vectors as matrices to grasp these concepts effectively.
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Hello all.

I have a fairly rudimentary knowledge of matrices and broader linear algebra. This gets me in a lot of trouble when I'm following along the math of something fine and then I run into some matrix stuff and get stumped, like this. I'm a little bit confused on taking the inner product from the Minkowski Tensor to the actual number. I understand why (in the context of spacetime intervals) it makes sense to define the metric as diag(-1,1,1,1) = \eta\alpha\beta

What I don't get is that if you define the inner product of two vectors A and B as \eta\alpha\betaA\alphaB\beta (I hope I got the summation convention right), how do you get from the matrix form to the number -t\alphat\beta+x\alphax\beta ...(and so on)?
It is just a rule of matrices I don't know? Or is it a specific thing in this context.

Thank you
Also, unrelated: my textbook didn't explicitly say that the spacetime interval (squared) is equal to the inner product, is that true?
 
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It is, in fact, the standard matrix multiplication that you do know, but the order of multiplication is different- the only order in which those matrices can be multiplied. This would be interpreted as
\begin{pmatrix}t & x & y & z\end{pmatrix}\begin{pmatrix}-1 & 0 & 0 & 0 \\ 0 & 1 & 0 & 0 \\ 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 1\end{pmatrix}\begin{pmatrix}t \\ x\\ y \\ z\end{pmatrix}
= \begin{pmatrix}t & x & y & z\end{pmatrix}\begin{pmatrix}-t \\ x \\ y \\ z\end{pmatrix}= -t^2+ x^2+ y^2+ z^2
 
Ah, you're totally right. I wasn't thinking of the vectors as matrices.

Thank you
 
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