The conditioning of block Kronecker $\ell$-ifications of matrix polynomials
Javier P\'erez

TL;DR
This paper analyzes the eigenvalue conditioning of block Kronecker $ ext{ell}$-ifications of matrix polynomials, showing they are comparably well-conditioned to the original polynomial under certain scaling, and extends understanding of their numerical stability.
Contribution
It provides a detailed comparison of the conditioning of block Kronecker $ ext{ell}$-ifications with the original polynomial, establishing conditions for their numerical stability.
Findings
Block Kronecker $ ext{ell}$-ifications are as well-conditioned as the original polynomial under proper scaling.
Any block Kronecker companion form is comparably conditioned to Frobenius companion forms.
Numerical examples support the theoretical conditioning results.
Abstract
A strong -ification of a matrix polynomial of degree is a matrix polynomial of degree having the same finite and infinite elementary divisors, and the same numbers of left and right minimal indices as . Strong -ifications can be used to transform the polynomial eigenvalue problem associated with into an equivalent polynomial eigenvalue problem associated with a larger matrix polynomial of lower degree. Typically and, in this case, receives the name of strong linearization. However, there exist some situations, e.g., the preservation of algebraic structures, in which it is more convenient to replace strong linearizations by other low degree matrix polynomials. In this work, we investigate the eigenvalue conditioning of…
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Taxonomy
TopicsMatrix Theory and Algorithms · Polynomial and algebraic computation · Tensor decomposition and applications
