Multinomial functions of matrices

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Discussion Overview

The discussion revolves around the study of multinomial functions of matrices, specifically focusing on matrix-valued functions of square matrices. Participants explore various mathematical branches that may apply to this topic, as well as the implications of defining multinomial functions in the context of matrices.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant inquires about the mathematical branch that studies multinomial functions of matrices, providing an example function.
  • Another participant suggests that linear algebra applies if scalar fields are involved, while abstract algebra, functional analysis, Lie theory, topology, and algebraic geometry may be relevant depending on the context and properties of the matrices.
  • A different participant mentions the Borel Calculus and functional calculus as frameworks for applying calculus-like functions to linear operators, allowing for expressions like ##e^{A}##.
  • One participant notes that a multinomial function of square matrices can be viewed as a simultaneous multinomial function of the entries of the matrices, raising a question about the converse: whether arbitrary multinomial functions of matrix entries can correspond to a matrix multinomial function.
  • There is a discussion about the terminology of "multinomial" functions when applied to matrices, questioning whether constant matrix factors should be allowed in various positions within the multinomial expressions.

Areas of Agreement / Disagreement

Participants express differing views on the appropriate mathematical framework for multinomial functions of matrices, and there is no consensus on the definition of multinomial functions in relation to constant matrix factors.

Contextual Notes

Participants highlight the need for clarity regarding the definition of multinomial functions of matrices, particularly concerning the placement of constant factors and the implications of different mathematical contexts.

Stephen Tashi
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TL;DR
What branch of mathematics studies multinomial functions of matrices?
What branch of mathematics studies multinomial functions of matrices? ( i.e matrix valued functions of square matrices such as ##f(A,B,C) = ABC + BAC + 2A^2 + 3C##)
 
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Linear algebra if we are talking about scalar fields, abstract algebra if it is a ring. Functional analysis if the matrices are possibly infinite-dimensional linear operators, Lie theory if the matrices are part of a Lir group, topology if continuity is the main property, algebraic geometry if the zeroes of ##f## are the subject of interest.
 
If I understand your question correctly, the Borel Calculus and other types of functional calculus provide a rigorous framework for applying standard "Calculus-like" functions to linear operators so that you can define , e.g., expressions like ##e^{A} ##; ##A## a matrix. I only remember minor details.
 
I see that a multinomial function of square matrices amounts to "simultaneous" multinomial functions of the entries of the matrices. For example, if we have 2x2 matrices ##A,B## and the 2x2 matrix ##F## is a multinomial in ##A,B## then ##F_{1,2}## is a multinomial function of ##A_{1,1}, A_{1,2}, A_{2,1},A_{2,2}, B_{1,1}, B_{1,2}, B_{2,1}, B_ {2,2}##.

But is the converse true? i.e. If we are given 4 arbitrary multinomial functions ##F_{i,j} ## of those variables, can we find a matrix multinomial function in ##A,B## that gives identical ##F_{i,j}##?

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[An edit , added later:]
When applied to variables that are matrices, the terminology "multinomial" may require some clarification. For example, if the variables are ##X,Y## and ##C## is a constant matrix, then ## CXY##, ##XCY## and ##XYC## may be different functions. Do we wish to allow all three examples to be multinomial functions of matrices? - or do we wish to restrict the definition of a "multinomial" function of matrices so that constant (matrix) factors can only appear as the leading factor, or perhaps insist that constant factors must be multiples of the identity matrix?
 
Last edited:

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