Structured Multi-Matrix Variate, Matrix Polynomial Equations: Solution Techniques
Garimella Rama Murthy

TL;DR
This paper develops solution techniques for structured multi-matrix variate polynomial equations, including eigenvalue determination and diagonalization methods, with potential implications for non-commutative algebra.
Contribution
It introduces new lemmas and methods for solving multi-matrix variate polynomial equations and generalizes these results to tensor variate equations.
Findings
Eigenvalue determination lemmas proved
Diagonalization methods for unknown matrices provided
Generalization to tensor variate polynomial equations discussed
Abstract
In this research paper, structured bi-matrix variate, matrix quadratic equations are considered. Some lemmas related to determining the eigenvalues of unknown matrices are proved. Also, a method of determining the diagonalizabe unknown matrices is provided. The results are generalized to multi-matrix variate, matrix polynomial equations. Briefly generalization to tensor variate polynomial equations is discussed. It is hoped that the results lead to important contributions in "non-commutative algebra".
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMatrix Theory and Algorithms · Numerical methods for differential equations · Advanced Optimization Algorithms Research
