Backward Error of Matrix Rational Function

05/25/2021
by   Namita Behera, et al.
0

We consider a minimal realization of a rational matrix functions. We perturb the polynomial part and one of the constant matrices from the realization part. We derive explicit computable expressions of backward errors of approximate eigenvalue of rational matrix function. We also determine minimal perturbations for which approximate eigenvalue are exact eigenvalue of the perturbed matrix rational functions.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/30/2021

Structural backward stability in rational eigenvalue problems solved via block Kronecker linearizations

We study the backward stability of running a backward stable eigenstruct...
research
06/14/2021

Optimizing Rayleigh quotient with symmetric constraints and their applications to perturbations of the structured polynomial eigenvalue problem

For a Hermitian matrix H ∈ℂ^n,n and symmetric matrices S_0, S_1,…,S_k ∈ℂ...
research
07/25/2019

Local Linearizations of Rational Matrices with Application to Rational Approximations of Nonlinear Eigenvalue Problems

This paper presents a definition for local linearizations of rational ma...
research
09/03/2020

A rational Even-IRA algorithm for the solution of T-even polynomial eigenvalue problems

In this work we present a rational Krylov subspace method for solving re...
research
03/04/2021

Sensitivity and computation of a defective eigenvalue

A defective eigenvalue is well documented to be hypersensitive to data p...
research
05/21/2023

Unified framework for Fiedler-like strong linearizations of polynomial and rational matrices

Linearization is a widely used method for solving polynomial eigenvalue ...
research
01/15/2020

Min-Max Elementwise Backward Error for Roots of Polynomials and a Corresponding Backward Stable Root Finder

A new measure called min-max elementwise backward error is introduced fo...

Please sign up or login with your details

Forgot password? Click here to reset