Stability Of Matrix Polynomials In One And Several Variables

03/20/2022
by   Oskar Jakub Szymański, et al.
0

The paper presents methods of eigenvalue localisation of regular matrix polynomials, in particular, 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 Szász inequality are shown. Further, tools for investigating (hyper)stability by multivariate complex analysis methods are provided. Several second- and third-order matrix polynomials with particular semi-definiteness assumptions on coefficients are shown to be stable.

READ FULL TEXT
research
11/16/2022

Linearizations of matrix polynomials viewed as Rosenbrock's system matrices

A well known method to solve the Polynomial Eigenvalue Problem (PEP) is ...
research
12/28/2021

Continuity of the roots of a nonmonic polynomial and applications in multivariate stability theory

We study continuity of the roots of nonmonic polynomials as a function o...
research
12/16/2022

The 𝔻𝕃(P) vector space of pencils for singular matrix polynomials

Given a possibly singular matrix polynomial P(z), we study how the eigen...
research
08/19/2022

Perturbations of polynomials and applications

After reconsidering the theorem of continuity of the roots of a polynomi...
research
04/22/2021

Eigenvalue embedding problem for quadratic regular matrix polynomials with symmetry structures

In this paper, we propose a unified approach for solving structure-prese...
research
02/28/2023

Stability of the Lanczos algorithm on matrices with regular spectral distributions

We study the stability of the Lanczos algorithm run on problems whose ei...
research
03/10/2021

Binary Signed-Digit Integers, the Stern Diatomic Sequence and Stern Polynomials

Stern's diatomic sequence is a well-studied and simply defined sequence ...

Please sign up or login with your details

Forgot password? Click here to reset