Minkowski Inner Product and General Tensor/Matrix Question

In summary, the conversation discusses the confusion surrounding taking the inner product from the Minkowski Tensor to the actual number in the context of spacetime intervals. The rule of matrices in this scenario is different and the spacetime interval is, in fact, equal to the inner product. There is also a brief mention of the order of matrix multiplication.
  • #1
Vorde
788
0
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) = [itex]\eta[/itex][itex]\alpha\beta[/itex]

What I don't get is that if you define the inner product of two vectors [itex]A[/itex] and [itex]B[/itex] as [itex]\eta[/itex][itex]\alpha\beta[/itex]A[itex]\alpha[/itex]B[itex]\beta[/itex] (I hope I got the summation convention right), how do you get from the matrix form to the number -t[itex]\alpha[/itex]t[itex]\beta[/itex]+x[itex]\alpha[/itex]x[itex]\beta[/itex] ...(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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  • #2
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
[tex]\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}[/tex]
[tex]= \begin{pmatrix}t & x & y & z\end{pmatrix}\begin{pmatrix}-t \\ x \\ y \\ z\end{pmatrix}= -t^2+ x^2+ y^2+ z^2[/tex]
 
  • #3
Ah, you're totally right. I wasn't thinking of the vectors as matrices.

Thank you
 

FAQ: Minkowski Inner Product and General Tensor/Matrix Question

What is the Minkowski inner product?

The Minkowski inner product, also known as the Lorentz inner product, is a type of inner product that is used in special relativity to measure the spacetime interval between two events. It takes into account both space and time components and is defined as the difference between the squared spatial distance and the squared temporal distance.

How is the Minkowski inner product calculated?

The Minkowski inner product is calculated by taking the dot product of two vectors in Minkowski space. This means multiplying the corresponding components of the two vectors together and then summing the results. The resulting scalar value is the Minkowski inner product.

What is the significance of the Minkowski inner product in special relativity?

The Minkowski inner product is significant in special relativity because it allows us to calculate the spacetime interval between two events, which is an invariant quantity in all inertial frames of reference. This means that the Minkowski inner product remains the same, regardless of the observer's reference frame, making it a fundamental tool in understanding the principles of relativity.

Can the Minkowski inner product be extended to higher dimensions?

Yes, the Minkowski inner product can be extended to higher dimensions. In fact, it can be generalized to n-dimensional Minkowski space, where n is any positive integer. The concept of the Minkowski inner product remains the same, but the calculation becomes more complex as the number of dimensions increases.

How is the Minkowski inner product related to general tensors and matrices?

The Minkowski inner product is related to general tensors and matrices because it can be represented as a tensor or matrix operation. In special relativity, the Minkowski inner product is often used to define the metric tensor, which is used to calculate the spacetime interval. This tensor can also be represented as a matrix, making it a useful tool in manipulating and solving problems involving Minkowski space.

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