Prescribed Eigenvalues via Optimal Perturbation of main-diagonal submatrix

Fuente: arXiv
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Auteurs principaux: Eslahchi, M. R., Kokabifar, E.
Format: Preprint
Publié: 2025
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author Eslahchi, M. R.
Kokabifar, E.
author_facet Eslahchi, M. R.
Kokabifar, E.
contents Consider a given square matrix $\textrm {K}$ with square blocks $A_{11},A_{22},\ldots,A_{nn}$ on the main diagonal. This paper aims to compute an optimal perturbation $Δ$ of a preassigned block $A_{ii}\in\mathbb{C}^{d_i\times d_k}, \left(1\le i\le n\right)$,with respect to the spectral norm distance, such that the perturbed matrix ${\textrm {K}_X}$ has $k \le d_i$ prescribed eigenvalues. This paper presents a method for constructing the optimal perturbation by improving and extending the methodology, necessary definitions and lemmas of previous related works. Some conceivable applications of this subject are also presented. Numerical experiments are provided to illustrate the validity of the method.
format Preprint
id arxiv_https___arxiv_org_abs_2510_18486
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Prescribed Eigenvalues via Optimal Perturbation of main-diagonal submatrix
Eslahchi, M. R.
Kokabifar, E.
Numerical Analysis
Consider a given square matrix $\textrm {K}$ with square blocks $A_{11},A_{22},\ldots,A_{nn}$ on the main diagonal. This paper aims to compute an optimal perturbation $Δ$ of a preassigned block $A_{ii}\in\mathbb{C}^{d_i\times d_k}, \left(1\le i\le n\right)$,with respect to the spectral norm distance, such that the perturbed matrix ${\textrm {K}_X}$ has $k \le d_i$ prescribed eigenvalues. This paper presents a method for constructing the optimal perturbation by improving and extending the methodology, necessary definitions and lemmas of previous related works. Some conceivable applications of this subject are also presented. Numerical experiments are provided to illustrate the validity of the method.
title Prescribed Eigenvalues via Optimal Perturbation of main-diagonal submatrix
topic Numerical Analysis
url https://arxiv.org/abs/2510.18486