中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
The minimal measurement number for low-rank matrix recovery

文献类型:期刊论文

作者Xu, Zhiqiang
刊名APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS
出版日期2018-03-01
卷号44期号:2页码:497-508
关键词Low-rank matrices Phase retrieval Determinant variety
ISSN号1063-5203
DOI10.1016/j.acha.2017.01.005
英文摘要The paper presents several results that address a fundamental question in low-rank matrix recovery: how many measurements are needed to recover low-rank matrices? We begin by investigating the complex matrices case and show that 4nr - 4r(2) generic measurements are both necessary and sufficient for the recovery of rank-r matrices in C-nxn. Thus, we confirm a conjecture which is raised by Eldar, Needell and Plan for the complex case. We next consider the real case and prove that the bound 4nr - 4r(2) is tight provided n = 2(k) + r, k is an element of Z(+) Motivated by Vinzant's work [19], we construct 11 matrices in R-4 X 4 by computer random search and prove they define injective measurements on rank-1 matrices in R-4x4. This disproves the conjecture raised by Eldar, Needell and Plan for the real case. Finally, we use the results in this paper to investigate the phase retrieval by projection and show fewer than 2n - 1 orthogonal projections are possible for the recovery of x is an element of R-n from the norm of them, which gives a negative answer for a question raised in [1]. (C) 2017 Elsevier Inc. All rights reserved.
语种英语
WOS记录号WOS:000423781300011
出版者ACADEMIC PRESS INC ELSEVIER SCIENCE
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/29543]  
专题计算数学与科学工程计算研究所
通讯作者Xu, Zhiqiang
作者单位Chinese Acad Sci, Acad Math & Syst Sci, LSEC, Inst Comp Math, Beijing 100091, Peoples R China
推荐引用方式
GB/T 7714
Xu, Zhiqiang. The minimal measurement number for low-rank matrix recovery[J]. APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS,2018,44(2):497-508.
APA Xu, Zhiqiang.(2018).The minimal measurement number for low-rank matrix recovery.APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS,44(2),497-508.
MLA Xu, Zhiqiang."The minimal measurement number for low-rank matrix recovery".APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS 44.2(2018):497-508.

入库方式: OAI收割

来源:数学与系统科学研究院

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