Structured strong $\boldsymbol{\ell}$-ifications for structured matrix polynomials in the monomial basis
Fernando De Ter\'an, Carla Hernando, Javier P\'erez

TL;DR
This paper introduces a new family of structured companion $oldsymbol{ ext{ extlbrackdbl} ext{ extlbrackdbl} ext{ extlbrackdbl}}$-ifications for structured matrix polynomials, enabling structure-preserving linearizations for higher-degree problems in Polynomial Eigenvalue Problems.
Contribution
It presents the first structured companion $oldsymbol{ ext{ extlbrackdbl} ext{ extlbrackdbl} ext{ extlbrackdbl}}$-ifications for matrix polynomials of degree $k=(2d+1) ext{ extlbrackdbl}$, including sparse constructions and a proof of non-existence for certain cases.
Findings
Structured companion $oldsymbol{ ext{ extlbrackdbl} ext{ extlbrackdbl} ext{ extlbrackdbl}}$-ifications are constructed for odd-degree matrix polynomials.
Sparse $oldsymbol{ ext{ extlbrackdbl} ext{ extlbrackdbl} ext{ extlbrackdbl}}$-ifications are feasible within this family.
No structured companion quadratifications exist for quartic matrix polynomials.
Abstract
In the framework of Polynomial Eigenvalue Problems, most of the matrix polynomials arising in applications are structured polynomials (namely (skew-)symmetric, (skew-)Hermitian, (anti-)palindromic, or alternating). The standard way to solve Polynomial Eigenvalue Problems is by means of linearizations. The most frequently used linearizations belong to general constructions, valid for all matrix polynomials of a fixed degree, known as {\em companion linearizations}. It is well known, however, that is not possible to construct companion linearizations that preserve any of the previous structures for matrix polynomials of even degree. This motivates the search for more general companion forms, in particular {\em companion -ifications}. In this paper, we present, for the first time, a family of (generalized) companion -ifications that preserve any of these structures, for matrix…
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