Matrix Algebra: Info on M^{-1}_{i} M_{j} + M^{-1}_{j} M_{i} = 2\delta_{ij} I

  • Thread starter JustMeDK
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In summary, the conversation is about a matrix algebra M^{-1}_{i} M_{j} + M^{-1}_{j} M_{i} = 2\delta_{ij} and the lack of information on it. I would like to know where, if possible, I could find some information on the matrix algebra.
  • #1
JustMeDK
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I would like to know where, if possible, I could find some information on the (matrix) algebra

[itex] M^{-1}_{i} M_{j} + M^{-1}_{j} M_{i} = 2\delta_{ij} I[/itex].

I expect this algebra to be among the very many different algebras that mathematicians have studied, but I have been unable to Google my way to any relevant reference regarding it.
 
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  • #2
Hey JustMeDK and welcome to the forums.

This looks a lot like the commutator relationship for operators in Quantum mechanics with the exception that there is an imaginary coeffecient there. I'd imagine though that you can get a similar result if you used standard non-complex rotation matrices (i.e. unitary as opposed to special unitary).

Here's the wiki for commutators (Look at the section on ring theory for definition):

http://en.wikipedia.org/wiki/Commutator

Here is the article on the quantum mechanical aspect I referred to above:

http://en.wikipedia.org/wiki/Canonical_commutation_relation

The thing though that we need to know is what these subscripts i and j refer to. What does Mi and Mj refer to? How do you define them?
 
  • #3
Thanks for your reply, chiro.

But, unless I am fundamentally mistaken, the algebra I mention is generally not (due to the presence also of inverses, [itex]M_{i}^{-1}[/itex]) equivalent to some (anti)commutator algebra. Of course, in special cases equivalence is present: for instance, if [itex]M_{i}[/itex] are taken to be the Pauli matrices, [itex]\sigma_{i} = \sigma_{i}^{-1}[/itex], then the algebra reduces to an anticommutator algebra, the signature (3,0) Clifford algebra specifically. But I am unable to see that in general there should be such equivalences.

PS: The subscripts [itex]i,j[/itex] are just indices running from [itex]1[/itex] to the number [itex]n[/itex], say, of elements [itex]M_{i}[/itex].
 
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  • #4
JustMeDK said:
Thanks for your reply, chiro.

But, unless I am fundamentally mistaken, the algebra I mention is generally not (due to the presence also of inverses, [itex]M_{i}^{-1}[/itex]) equivalent to some (anti)commutator algebra. Of course, in special cases equivalence is present: for instance, if [itex]M_{i}[/itex] are taken to be the Pauli matrices, [itex]\sigma_{i} = \sigma_{i}^{-1}[/itex], then the algebra reduces to an anticommutator algebra, the signature (3,0) Clifford algebra specifically. But I am unable to see that in general there should be such equivalences.

PS: The subscripts [itex]i,j[/itex] are just indices running from [itex]1[/itex] to the number [itex]n[/itex], say, of elements [itex]M_{i}[/itex].

So can you outline any constraints imposed on the operators in explicit detail?
 
  • #5
I do not think that it should be necessary to specify any constraints on the operators [itex]M_{i}[/itex], other than they are taken to be matrices of some dimension (i.e., focusing on representations only of the algebra, rather than realizations generally). What I would like to know is the classification of the representations of such an algebra, in the same way that for instance Clifford algebras have been classified. In order to do so, it would, of course, be very helpful for me to know the mathematical name, if any, of such an algebra.
 

FAQ: Matrix Algebra: Info on M^{-1}_{i} M_{j} + M^{-1}_{j} M_{i} = 2\delta_{ij} I

What is matrix algebra?

Matrix algebra is a branch of mathematics that deals with the manipulation and study of matrices, which are rectangular arrays of numbers or symbols. It involves operations such as addition, subtraction, multiplication, and inversion of matrices.

What is the significance of the equation M^{-1}_{i} M_{j} + M^{-1}_{j} M_{i} = 2\delta_{ij} I in matrix algebra?

This equation is known as the matrix inverse identity and it states that the sum of the products of a matrix and its inverse is equal to a multiple of the identity matrix. It is a fundamental property of matrix algebra and is used in various applications, such as solving systems of linear equations and finding determinants.

What is the meaning of M^{-1}_{i} and M_{j} in the equation?

M^{-1}_{i} refers to the inverse of the matrix M, while M_{j} refers to the j-th column of the matrix M. In this equation, the inverse matrix is multiplied by one of its columns and then summed with the product of the inverse matrix and another column. This process is repeated for all columns of the matrix, resulting in a diagonal matrix with entries that follow the pattern of 2\delta_{ij}.

How is the equation M^{-1}_{i} M_{j} + M^{-1}_{j} M_{i} = 2\delta_{ij} I used in practical applications?

The matrix inverse identity is used in various areas of science and engineering, including statistics, physics, computer science, and economics. It is used to solve systems of linear equations, perform matrix factorization, and calculate determinants. It is also used in data analysis and machine learning algorithms.

What is the role of the Kronecker delta (\delta_{ij}) in the equation?

The Kronecker delta is a mathematical symbol that represents the values of 0 or 1, depending on whether the subscripts i and j are equal or not. In the matrix inverse identity equation, it ensures that the resulting diagonal matrix only has non-zero entries on the main diagonal, which makes it a multiple of the identity matrix. This is important for solving equations and performing other operations with matrices.

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