English

On Wielandt-Mirsky's conjecture for matrix polynomials

Numerical Analysis 2019-02-19 v2

Abstract

In matrix analysis, the \textit{Wielandt-Mirsky conjecture} states that dist(σ(A),σ(B))AB, dist(\sigma(A), \sigma(B)) \leq \|A-B\|, for any normal matrices A,BCn×n A, B \in \mathbb C^{n\times n} and any operator norm \|\cdot \| on Cn×nC^{n\times n}. Here dist(σ(A),σ(B))dist(\sigma(A), \sigma(B)) denotes the optimal matching distance between the spectra of the matrices AA and BB. It was proved by A.J. Holbrook (1992) that this conjecture is false in general. However it is true for the Frobenius distance and the Frobenius norm (the Hoffman-Wielandt inequality). The main aim of this paper is to study the Hoffman-Wielandt inequality and some weaker versions of the Wielandt-Mirsky conjecture for matrix polynomials.

Keywords

Cite

@article{arxiv.1811.03227,
  title  = {On Wielandt-Mirsky's conjecture for matrix polynomials},
  author = {Công-Trình Lê},
  journal= {arXiv preprint arXiv:1811.03227},
  year   = {2019}
}

Comments

11 pages, a version of a Wielandt's inequality for matrix polynomials added, to be published in BKMS

R2 v1 2026-06-23T05:08:30.911Z