Small singular values can increase in lower precision

Fuente: arXiv
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Autori principali: Boutsikas, Christos, Drineas, Petros, Ipsen, Ilse C. F.
Natura: Preprint
Pubblicazione: 2023
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author Boutsikas, Christos
Drineas, Petros
Ipsen, Ilse C. F.
author_facet Boutsikas, Christos
Drineas, Petros
Ipsen, Ilse C. F.
contents We perturb a real matrix $A$ of full column rank, and derive lower bounds for the smallest singular values of the perturbed matrix, in terms of normwise absolute perturbations. Our bounds, which extend existing lower-order expressions, demonstrate the potential increase in the smallest singular values, and represent a qualitative model for the increase in the small singular values after a matrix has been downcast to a lower arithmetic precision. Numerical experiments confirm the qualitative validity of this model and its ability to predict singular values changes in the presence of decreased arithmetic precision.
format Preprint
id arxiv_https___arxiv_org_abs_2303_03547
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Small singular values can increase in lower precision
Boutsikas, Christos
Drineas, Petros
Ipsen, Ilse C. F.
Numerical Analysis
65F15, 65G50, 15A18, 15A23, 15A42
We perturb a real matrix $A$ of full column rank, and derive lower bounds for the smallest singular values of the perturbed matrix, in terms of normwise absolute perturbations. Our bounds, which extend existing lower-order expressions, demonstrate the potential increase in the smallest singular values, and represent a qualitative model for the increase in the small singular values after a matrix has been downcast to a lower arithmetic precision. Numerical experiments confirm the qualitative validity of this model and its ability to predict singular values changes in the presence of decreased arithmetic precision.
title Small singular values can increase in lower precision
topic Numerical Analysis
65F15, 65G50, 15A18, 15A23, 15A42
url https://arxiv.org/abs/2303.03547