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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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. |
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Physics Edge universality Extreme eigenvalues Zhang, Zhixiang Liu, Yiming Pan, Guangming Tracy-widom law for the extreme eigenvalues of large signal-plus-noise matrices |
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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. |
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School of Physical and Mathematical Sciences |
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School of Physical and Mathematical Sciences Zhang, Zhixiang Liu, Yiming Pan, Guangming |
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Article |
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Zhang, Zhixiang Liu, Yiming Pan, Guangming |
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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 |
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2024 |
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https://hdl.handle.net/10356/173676 |
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