Recursive determinantal framework for testing D-stability. I

Fuente: arXiv
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Main Author: Kushel, Olga Y.
Format: Preprint
Published: 2026
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author Kushel, Olga Y.
author_facet Kushel, Olga Y.
contents The concept of matrix $D$-stability, introduced in 1958 by Arrow and McManus is of major importance due to the variety of its applications. However, characterization of matrix $D$-stability for dimensions $n > 4$ is considered as a hard open problem. In this paper, we propose a recursive delete/zero algorithm for testing matrix $D$-stability. The algorithm generates a binary tree of parameter-dependent matrices ${\mathbf A}_s$ and yields recurrence relations for the real and imaginary parts of $\det({\mathbf A}_s)$. These relations lead to a hierarchy of sufficient for $D$-stability conditions, expressed in terms of principal minors. Numerical experiments confirm the practical feasibility of the approach.
format Preprint
id arxiv_https___arxiv_org_abs_2604_16526
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Recursive determinantal framework for testing D-stability. I
Kushel, Olga Y.
Spectral Theory
Numerical Analysis
15A12, 15A18, 15A75
The concept of matrix $D$-stability, introduced in 1958 by Arrow and McManus is of major importance due to the variety of its applications. However, characterization of matrix $D$-stability for dimensions $n > 4$ is considered as a hard open problem. In this paper, we propose a recursive delete/zero algorithm for testing matrix $D$-stability. The algorithm generates a binary tree of parameter-dependent matrices ${\mathbf A}_s$ and yields recurrence relations for the real and imaginary parts of $\det({\mathbf A}_s)$. These relations lead to a hierarchy of sufficient for $D$-stability conditions, expressed in terms of principal minors. Numerical experiments confirm the practical feasibility of the approach.
title Recursive determinantal framework for testing D-stability. I
topic Spectral Theory
Numerical Analysis
15A12, 15A18, 15A75
url https://arxiv.org/abs/2604.16526