Structured Linearizations for Palindromic Matrix Polynomials of Odd Degree

De Teran, Fernando and Dopico, Froilan M. and Mackey, D. Steven (2010) Structured Linearizations for Palindromic Matrix Polynomials of Odd Degree. [MIMS Preprint]

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Abstract

The standard way to solve polynomial eigenvalue problems $P(\la)x=0$ is to convert the matrix polynomial $P(\la)$ into a matrix pencil that preserves its spectral information-- a process known as linearization. When $P(\la)$ is palindromic, the eigenvalues, elementary divisors, and minimal indices of $P(\la)$ have certain symmetries that can be lost when using the classical first and second companion linearizations for numerical computations, since these linearizations do not preserve the palindromic structure. Recently new families of linearizations have been introduced with the goal of finding linearizations that retain whatever structure that the original $P(\la)$ might possess, with particular attention paid to the preservation of palindromic structure. However, no general construction of palindromic linearizations valid for all palindromic polynomials has as yet been achieved. In this paper we present a family of linearizations for odd degree polynomials $P(\la)$ which are palindromic whenever $P(\la)$ is, and which are valid for all palindromic polynomials of odd degree. We illustrate our construction with several examples. In addition, we establish a simple way to recover the minimal indices of the polynomial from those of the linearizations in the new family.

Item Type: MIMS Preprint
Uncontrolled Keywords: matrix polynomial, matrix pencil, minimal indices, palindromic, structured linearization
Subjects: MSC 2010, the AMS's Mathematics Subject Classification > 15 Linear and multilinear algebra; matrix theory
MSC 2010, the AMS's Mathematics Subject Classification > 65 Numerical analysis
Depositing User: Dr. D. Steven Mackey
Date Deposited: 19 Apr 2010
Last Modified: 08 Nov 2017 18:18
URI: http://eprints.maths.manchester.ac.uk/id/eprint/1441

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