Stability of matrix polynomials in one and several variables

The paper presents methods for the eigenvalue localisation of regular matrix polynomials, in particular, the stability of matrix polynomials is investigated. For this aim a stronger notion of hyperstability is introduced and widely discussed. Matrix versions of the Gauss-Lucas theorem and Szasz inequality are shown. Further, tools for investigating (hyper) -stability by multivariate complex analysis methods are provid-ed. Several seconds-and third-order matrix polynomials with particular semi-definiteness assumptions on coefficients are shown to be stable.(c) 2023 Elsevier Inc. All rights reserved.

Automated summary

The paper presents methods for eigenvalue localization of regular matrix polynomials, with a focus on investigating the stability of matrix polynomials. A stronger notion of hyperstability is introduced and discussed extensively. Matrix versions of the Gauss-Lucas theorem and Szasz inequality are demonstrated. Tools for studying (hyper)stability using multivariate complex analysis methods are provided. Several second- and third-order matrix polynomials with specific semi-definiteness assumptions on coefficients are proven to be stable.