Generalization of Cauchy type theorems for matrix Polynomials
Idrees Qasim

TL;DR
This paper extends classical Cauchy theorems to matrix polynomials, providing bounds for their eigenvalues and generalizing the distribution of eigenvalues.
Contribution
It introduces generalized bounds for eigenvalues of matrix polynomials, extending classical scalar results to matrix cases.
Findings
Derived new bounds for eigenvalues of matrix polynomials
Generalized Cauchy's theorem for matrix eigenvalue distribution
Extended classical scalar results to matrix polynomial context
Abstract
In this paper, we find bounds for the eigenvalues of matrix polynomials. In particular, we find generalizations of Cauchy's classical Theorem for distribution of eigenvalues of matrix polynomial.
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
TopicsMathematical functions and polynomials · Mathematical Inequalities and Applications · Matrix Theory and Algorithms
