Matrix perturbation analysis of methods for extracting singular values from approximate singular subspaces

Fuente: arXiv
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Hauptverfasser: Lazzarino, Lorenzo, Daas, Hussam Al, Nakatsukasa, Yuji
Format: Preprint
Veröffentlicht: 2024
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author Lazzarino, Lorenzo
Daas, Hussam Al
Nakatsukasa, Yuji
author_facet Lazzarino, Lorenzo
Daas, Hussam Al
Nakatsukasa, Yuji
contents Given (orthonormal) approximations $\tilde{U}$ and $\tilde{V}$ to the left and right subspaces spanned by the leading singular vectors of a matrix $A$, we discuss methods to approximate the leading singular values of $A$ and study their accuracy. In particular, we focus our analysis on the generalized Nyström approximation, as surprisingly, it is able to obtain significantly better accuracy than classical methods, namely Rayleigh-Ritz and (one-sided) projected SVD. A key idea of the analysis is to view the methods as finding the exact singular values of a perturbation of $A$. In this context, we derive a matrix perturbation result that exploits the structure of such $2\times2$ block matrix perturbation. Furthermore, we extend it to block tridiagonal matrices. We then obtain bounds on the accuracy of the extracted singular values. This leads to sharp bounds that predict well the approximation error trends and explain the difference in the behavior of these methods. Finally, we present an approach to derive an a-posteriori version of those bounds, which are more amenable to computation in practice.
format Preprint
id arxiv_https___arxiv_org_abs_2409_09187
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Matrix perturbation analysis of methods for extracting singular values from approximate singular subspaces
Lazzarino, Lorenzo
Daas, Hussam Al
Nakatsukasa, Yuji
Numerical Analysis
15A18, 15A42, 65F15, 68W20
Given (orthonormal) approximations $\tilde{U}$ and $\tilde{V}$ to the left and right subspaces spanned by the leading singular vectors of a matrix $A$, we discuss methods to approximate the leading singular values of $A$ and study their accuracy. In particular, we focus our analysis on the generalized Nyström approximation, as surprisingly, it is able to obtain significantly better accuracy than classical methods, namely Rayleigh-Ritz and (one-sided) projected SVD. A key idea of the analysis is to view the methods as finding the exact singular values of a perturbation of $A$. In this context, we derive a matrix perturbation result that exploits the structure of such $2\times2$ block matrix perturbation. Furthermore, we extend it to block tridiagonal matrices. We then obtain bounds on the accuracy of the extracted singular values. This leads to sharp bounds that predict well the approximation error trends and explain the difference in the behavior of these methods. Finally, we present an approach to derive an a-posteriori version of those bounds, which are more amenable to computation in practice.
title Matrix perturbation analysis of methods for extracting singular values from approximate singular subspaces
topic Numerical Analysis
15A18, 15A42, 65F15, 68W20
url https://arxiv.org/abs/2409.09187