AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (291.2 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Minimax perturbation bounds of the low-rank matrix under Ky Fan norm

Xinyu QiJinru Wang( )Jiating Shao
College of Mathematics, Faculty of Science, Beijing University of Technology, Beijing, 100124, China
Show Author Information

Abstract

This paper considers the minimax perturbation bounds of the low-rank matrix under Ky Fan norm. We first explore the upper bounds via the best rank- r approximation A ^ r of the observation matrix A ^ . Next, the lower bounds are established by constructing special matrix groups to show the upper bounds are tight on the low-rank matrix estimation error. In addition, we derive the rate-optimal perturbation bounds for the left and right singular subspaces under Ky Fan norm sin Θ distance. Finally, some simulations have been carried out to support our theories.

CLC number: 15A42, 65F55

References

【1】
【1】
 
 
AIMS Mathematics
Pages 7595-7605

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Qi X, Wang J, Shao J. Minimax perturbation bounds of the low-rank matrix under Ky Fan norm. AIMS Mathematics, 2022, 7(5): 7595-7605. https://doi.org/10.3934/math.2022426

214

Views

1

Downloads

2

Crossref

2

Web of Science

2

Scopus

Received: 21 September 2021
Revised: 10 February 2022
Accepted: 11 February 2022
Published: 15 May 2022
©2022 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)