Twice is enough for dangerous eigenvalues

Fuente: arXiv
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Main Authors: Horning, Andrew, Nakatsukasa, Yuji
Format: Preprint
Published: 2020
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author Horning, Andrew
Nakatsukasa, Yuji
author_facet Horning, Andrew
Nakatsukasa, Yuji
contents We analyze the stability of a class of eigensolvers that target interior eigenvalues with rational filters. We show that subspace iteration with a rational filter is robust even when an eigenvalue is near a filter's pole. These dangerous eigenvalues contribute to large round-off errors in the first iteration, but are self-correcting in later iterations. For matrices with orthogonal eigenvectors (e.g., real-symmetric or complex Hermitian), two iterations is enough to reduce round-off errors to the order of the unit-round off. In contrast, Krylov methods accelerated by rational filters with fixed poles typically fail to converge to unit round-off accuracy when an eigenvalue is close to a pole. In the context of Arnoldi with shift-and-invert enhancement, we demonstrate a simple restart strategy that recovers full precision in the target eigenpairs.
format Preprint
id arxiv_https___arxiv_org_abs_2010_09710
institution arXiv
publishDate 2020
record_format arxiv
spellingShingle Twice is enough for dangerous eigenvalues
Horning, Andrew
Nakatsukasa, Yuji
Numerical Analysis
We analyze the stability of a class of eigensolvers that target interior eigenvalues with rational filters. We show that subspace iteration with a rational filter is robust even when an eigenvalue is near a filter's pole. These dangerous eigenvalues contribute to large round-off errors in the first iteration, but are self-correcting in later iterations. For matrices with orthogonal eigenvectors (e.g., real-symmetric or complex Hermitian), two iterations is enough to reduce round-off errors to the order of the unit-round off. In contrast, Krylov methods accelerated by rational filters with fixed poles typically fail to converge to unit round-off accuracy when an eigenvalue is close to a pole. In the context of Arnoldi with shift-and-invert enhancement, we demonstrate a simple restart strategy that recovers full precision in the target eigenpairs.
title Twice is enough for dangerous eigenvalues
topic Numerical Analysis
url https://arxiv.org/abs/2010.09710