What does 'M symmetric' mean in the context of matrices?

In summary, The phrase "Let M_{1} and M_{2} be matrices. N = M_{1}^{-1}M_{2}. This matrix is M_{1} symmetric and so it diagonalisable in \mathbb{R}^{2}" is found in a book, but more context is needed to fully understand its meaning. The size of the matrices is not specified, but it is assumed that they are 2x2 based on the mention of diagonalizability in \mathbb{R}^{2}. The term "M-symmetric" may refer to "Minkowski-symmetric" but this is uncertain without more information. The missing context may also be crucial in understanding the overall meaning of the
  • #1
AlphaNumeric2
42
2
My dad came across this phrase in a book but neither of us are familiar with it. The statement is :

"Let [tex]M_{1}[/tex] and [tex]M_{2}[/tex] be matrices. [tex]N = M_{1}^{-1}M_{2}[/tex]. This matrix is [tex]M_{1}[/tex] symmetric and so it diagonalisable in [tex]\mathbb{R}^{2}[/tex]."

Does it just mean that [tex]M_{1}=M_{1}^{T}[/tex] or something else? Obviously searching for "Matrix, symmetric" doesn't help in this question...
 
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  • #2
I think more context is needed. Consider you're never actually told what size the matrices are. It says diagonalizable in [tex]\mathbb{R}^{2}[/tex], so I would think they're 2x2, but usually you say diagonalizable over R or over C or over Q, etc. [tex]\mathbb{R}^{2}[/tex] isn't a standard field (and I'm not sure whether it's even possible to make it a field off the top of my head), so my first guess would be that you're missing something important
 
  • #3
I assumed that the matrices are 2x2, so I guess that refers to them being diagonalisable as a Real matrix. Unfortunately I don't have access to this book, he asked me over the phone and what he said differed a few times from what he then emailed me. I assume he's quoting directly, but that might be incorrect too...

I'll ask him again and see if he's typed out something from memory or he copied it word for word. I agree, there does feel as if there's a vital bit of information missing.
 
  • #4
What book?

AlphaNumeric2 said:
My dad came across this phrase in a book but neither of us are familiar with it...I'll ask him again and see if he's typed out something from memory or he copied it word for word.

Please make sure you make him tell you what book because I think this is vitally important information!

My first guess was M-symmetric stands for "Minkowski-symmetric", but if your dad's book has nothing to do with relativistic physics that is fairly unlikely. Another guess is that the (extraneous?) symbol is a printer's error, since (particularly in the context of elementary linear algebra) the sentence with that symbol deleted appears to make sense if all matrices are nxn real matrices and if [itex]N[/itex] is indeed symmetric.

If it helps, put [itex]L = \operatorname{diag} (-1,1,1, \dots 1)[/itex]; then the Minkowski adjoint can be taken to be [itex]A^{\ast} = L^{-1} \, A^T \, L[/itex] and then a Minkowski symmetric operator satisfies [itex]A^{\ast} = A[/itex]. For example in the 2x2 case a Minkowski-symmetric matrix would take the form
[tex]
A = \left[ \begin{array}{cc} a & b \\ -b & d \end{array} \right]
[/tex]
while a Minkowski anti-symmetric matrix would take the form
[tex]
A = \left[ \begin{array}{cc} 0 & b \\ b & 0 \end{array} \right]
[/tex]
which satisfies
[tex]
\exp(A) =
\left[ \begin{array}{cc} \cosh(b) & \sinh(b) \\ \sinh(b) & \cosh(b) \end{array} \right]
[/tex]
which can be compared with the analogous facts for the usual transpose.

I don't think we can offer any useful assistance until your dad supplies the missing context.
 
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FAQ: What does 'M symmetric' mean in the context of matrices?

What does it mean for a matrix to be 'M symmetric'?

A matrix is considered 'M symmetric' if it is equal to its own transpose, meaning that the matrix is symmetric across its main diagonal. In other words, the element at row i and column j is equal to the element at row j and column i. This property is also known as symmetry about the main diagonal or self-adjointness.

How do you determine if a matrix is 'M symmetric'?

To determine if a matrix is 'M symmetric', you can simply check if the matrix is equal to its own transpose. This can be done by comparing the elements in the matrix at the corresponding positions. If they are equal, then the matrix is 'M symmetric'.

What is the significance of 'M symmetry' in matrices?

'M symmetry' in matrices has several important implications. It allows for easier manipulation and calculation of matrix operations, as well as simplifying the solution to certain problems. Additionally, 'M symmetry' can also indicate a special relationship between the variables represented by the matrix elements.

Can a non-square matrix be 'M symmetric'?

No, a non-square matrix cannot be 'M symmetric'. This is because the transpose of a non-square matrix would result in a matrix with different dimensions, making it impossible for the two matrices to be equal. Only square matrices can exhibit 'M symmetry'.

Is there a difference between 'M symmetry' and 'N symmetry' in matrices?

Yes, there is a difference between 'M symmetry' and 'N symmetry' in matrices. 'M symmetry' refers to symmetry about the main diagonal, while 'N symmetry' refers to symmetry about the secondary diagonal. In other words, the element at row i and column j is equal to the element at row n-j+1 and column n-i+1. A matrix can exhibit both 'M symmetry' and 'N symmetry' simultaneously, in which case it is known as a persymmetric matrix.

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