Tracy-widom law for the extreme eigenvalues of large signal-plus-noise matrices

Let S = R + X be an M × N matrix where R is the signal matrix and X is the noise matrix consisting of i.i.d. standardized entries. The signal matrix R is allowed to be full rank, which is rarely studied in literature compared with the low rank cases. Under a regularity condition of R that assures th...

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Main Authors: Zhang, Zhixiang, Liu, Yiming, Pan, Guangming
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2024
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Online Access:https://hdl.handle.net/10356/173676
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1736762024-02-21T07:57:10Z Tracy-widom law for the extreme eigenvalues of large signal-plus-noise matrices Zhang, Zhixiang Liu, Yiming Pan, Guangming School of Physical and Mathematical Sciences Physics Edge universality Extreme eigenvalues Let S = R + X be an M × N matrix where R is the signal matrix and X is the noise matrix consisting of i.i.d. standardized entries. The signal matrix R is allowed to be full rank, which is rarely studied in literature compared with the low rank cases. Under a regularity condition of R that assures the square root behaviour of the spectral density near the edge, we prove that the largest eigenvalue of SS* has the Tracy-Widom distribution under a tail condition on the entries of X. Moreover, such a condition is proved to be necessary and sufficient to assure the Tracy-Widom law. 2024-02-21T07:57:10Z 2024-02-21T07:57:10Z 2024 Journal Article Zhang, Z., Liu, Y. & Pan, G. (2024). Tracy-widom law for the extreme eigenvalues of large signal-plus-noise matrices. Bernoulli, 30(1), 448-474. https://dx.doi.org/10.3150/23-BEJ1604 1350-7265 https://hdl.handle.net/10356/173676 10.3150/23-BEJ1604 2-s2.0-85177227071 1 30 448 474 en Bernoulli © 2024 Bernoulli Society for Mathematical Statistics and Probability. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Physics
Edge universality
Extreme eigenvalues
spellingShingle Physics
Edge universality
Extreme eigenvalues
Zhang, Zhixiang
Liu, Yiming
Pan, Guangming
Tracy-widom law for the extreme eigenvalues of large signal-plus-noise matrices
description Let S = R + X be an M × N matrix where R is the signal matrix and X is the noise matrix consisting of i.i.d. standardized entries. The signal matrix R is allowed to be full rank, which is rarely studied in literature compared with the low rank cases. Under a regularity condition of R that assures the square root behaviour of the spectral density near the edge, we prove that the largest eigenvalue of SS* has the Tracy-Widom distribution under a tail condition on the entries of X. Moreover, such a condition is proved to be necessary and sufficient to assure the Tracy-Widom law.
author2 School of Physical and Mathematical Sciences
author_facet School of Physical and Mathematical Sciences
Zhang, Zhixiang
Liu, Yiming
Pan, Guangming
format Article
author Zhang, Zhixiang
Liu, Yiming
Pan, Guangming
author_sort Zhang, Zhixiang
title Tracy-widom law for the extreme eigenvalues of large signal-plus-noise matrices
title_short Tracy-widom law for the extreme eigenvalues of large signal-plus-noise matrices
title_full Tracy-widom law for the extreme eigenvalues of large signal-plus-noise matrices
title_fullStr Tracy-widom law for the extreme eigenvalues of large signal-plus-noise matrices
title_full_unstemmed Tracy-widom law for the extreme eigenvalues of large signal-plus-noise matrices
title_sort tracy-widom law for the extreme eigenvalues of large signal-plus-noise matrices
publishDate 2024
url https://hdl.handle.net/10356/173676
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