Matrix Perturbation Theory in the Tangent Space of Isospectral Matrices

Fuente: arXiv
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Hauptverfasser: Hrobat, Francesco, Nakatsukasa, Yuji
Format: Preprint
Veröffentlicht: 2026
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author Hrobat, Francesco
Nakatsukasa, Yuji
author_facet Hrobat, Francesco
Nakatsukasa, Yuji
contents Eigenvalue and eigenvector perturbation theory is a fundamental topic in several disciplines, including numerical linear algebra, quantum physics, and related fields. The central problem is to understand how the eigenvalues and eigenvectors of a matrix $A \in \mathbb{C}^{n \times n}$ change under the addition of a perturbation matrix $E \in \mathbb{C}^{n \times n}$. Much of the existing literature focuses on structured perturbations. For example, in [C.-K. Li and R.-C. Li, Linear Algebra Appl. 2005], the matrix $A$ is assumed to be Hermitian and block diagonal, while the perturbation $E$ is Hermitian and block off-diagonal. In this work, we investigate a different structured setting in which the perturbation has the commutator form $E = AB - BA$ for some matrix $B$, which we show to be a generalization of the block diagonal structure considered by Li and Li. First, we extend their main result by showing that the perturbation of the $i$-th eigenvalue of $A$, denoted by $λ_i$, is of order $\|E\|^2 / η_i$, where $η_i = \min_{j \neq i} |λ_i - λ_j|$ is the spectral gap associated with $λ_i$. Second, we provide a detailed analysis of the role played by the matrix $B$ in the perturbation of the eigenvectors. This analysis is further generalized to the case of block-diagonal matrices with multiple eigenvalues, as well as to perturbed singular values and eigenvalues of Jordan blocks.
format Preprint
id arxiv_https___arxiv_org_abs_2602_22084
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Matrix Perturbation Theory in the Tangent Space of Isospectral Matrices
Hrobat, Francesco
Nakatsukasa, Yuji
Numerical Analysis
Spectral Theory
Eigenvalue and eigenvector perturbation theory is a fundamental topic in several disciplines, including numerical linear algebra, quantum physics, and related fields. The central problem is to understand how the eigenvalues and eigenvectors of a matrix $A \in \mathbb{C}^{n \times n}$ change under the addition of a perturbation matrix $E \in \mathbb{C}^{n \times n}$. Much of the existing literature focuses on structured perturbations. For example, in [C.-K. Li and R.-C. Li, Linear Algebra Appl. 2005], the matrix $A$ is assumed to be Hermitian and block diagonal, while the perturbation $E$ is Hermitian and block off-diagonal. In this work, we investigate a different structured setting in which the perturbation has the commutator form $E = AB - BA$ for some matrix $B$, which we show to be a generalization of the block diagonal structure considered by Li and Li. First, we extend their main result by showing that the perturbation of the $i$-th eigenvalue of $A$, denoted by $λ_i$, is of order $\|E\|^2 / η_i$, where $η_i = \min_{j \neq i} |λ_i - λ_j|$ is the spectral gap associated with $λ_i$. Second, we provide a detailed analysis of the role played by the matrix $B$ in the perturbation of the eigenvectors. This analysis is further generalized to the case of block-diagonal matrices with multiple eigenvalues, as well as to perturbed singular values and eigenvalues of Jordan blocks.
title Matrix Perturbation Theory in the Tangent Space of Isospectral Matrices
topic Numerical Analysis
Spectral Theory
url https://arxiv.org/abs/2602.22084