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Main Authors: Ochiai, Hiroyuki, Sekiguchi, Yoshiyuki, Waki, Hayato
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2401.16689
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author Ochiai, Hiroyuki
Sekiguchi, Yoshiyuki
Waki, Hayato
author_facet Ochiai, Hiroyuki
Sekiguchi, Yoshiyuki
Waki, Hayato
contents We observe that the characteristic polynomial of a linearly perturbed semidefinite matrix can be used to give the convergence rate of alternating projections for the positive semidefinite cone and a line. As a consequence, we show that such alternating projections converge at $O(k^{-1/2})$, independently of the singularity degree. A sufficient condition for the linear convergence is also obtained. Our method directly analyzes the defining equation for an alternating projection sequence and does not use error bounds.
format Preprint
id arxiv_https___arxiv_org_abs_2401_16689
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Expansions of the Characteristic Polynomial of a Perturbed Positive Semidefinite Matrix and Convergence Analysis of Alternating Projections
Ochiai, Hiroyuki
Sekiguchi, Yoshiyuki
Waki, Hayato
Optimization and Control
Primary 90C25, 41A25, Secondary 65K10
We observe that the characteristic polynomial of a linearly perturbed semidefinite matrix can be used to give the convergence rate of alternating projections for the positive semidefinite cone and a line. As a consequence, we show that such alternating projections converge at $O(k^{-1/2})$, independently of the singularity degree. A sufficient condition for the linear convergence is also obtained. Our method directly analyzes the defining equation for an alternating projection sequence and does not use error bounds.
title Expansions of the Characteristic Polynomial of a Perturbed Positive Semidefinite Matrix and Convergence Analysis of Alternating Projections
topic Optimization and Control
Primary 90C25, 41A25, Secondary 65K10
url https://arxiv.org/abs/2401.16689