Central Limit Theorem for Linear Eigenvalue Statistics of the Wigner and Sample Covariance Random Matrices

We consider two classical ensembles of the random matrix theory: the Wigner matrices and sample covariance matrices, and prove Central Limit Theorem for linear eigenvalue statistics under rather weak (comparing with results known before) conditions on the number of derivatives of the test functions...

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Збережено в:
Бібліографічні деталі
Дата:2011
Автор: Shcherbina, M.
Формат: Стаття
Мова:English
Опубліковано: Фізико-технічний інститут низьких температур ім. Б.І. Вєркіна НАН України 2011
Назва видання:Журнал математической физики, анализа, геометрии
Онлайн доступ:http://dspace.nbuv.gov.ua/handle/123456789/106671
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Назва журналу:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Цитувати:Central Limit Theorem for Linear Eigenvalue Statistics of the Wigner and Sample Covariance Random Matrices / M. Shcherbina // Журнал математической физики, анализа, геометрии. — 2011. — Т. 7, № 2. — С. 176-192. — Бібліогр.: 15 назв. — англ.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine
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spelling irk-123456789-1066712016-10-02T03:03:06Z Central Limit Theorem for Linear Eigenvalue Statistics of the Wigner and Sample Covariance Random Matrices Shcherbina, M. We consider two classical ensembles of the random matrix theory: the Wigner matrices and sample covariance matrices, and prove Central Limit Theorem for linear eigenvalue statistics under rather weak (comparing with results known before) conditions on the number of derivatives of the test functions and also on the number of the entries moments. Moreover, we develop a universal method which allows one to obtain automatically the bounds for the variance of differentiable test functions, if there is a bound for the variance of the trace of the resolvent of random matrix. The method is applicable not only to the Wigner and sample covariance matrices, but to any ensemble of hermitian or real symmetric random matrices. 2011 Article Central Limit Theorem for Linear Eigenvalue Statistics of the Wigner and Sample Covariance Random Matrices / M. Shcherbina // Журнал математической физики, анализа, геометрии. — 2011. — Т. 7, № 2. — С. 176-192. — Бібліогр.: 15 назв. — англ. 1812-9471 http://dspace.nbuv.gov.ua/handle/123456789/106671 en Журнал математической физики, анализа, геометрии Фізико-технічний інститут низьких температур ім. Б.І. Вєркіна НАН України
institution Digital Library of Periodicals of National Academy of Sciences of Ukraine
collection DSpace DC
language English
description We consider two classical ensembles of the random matrix theory: the Wigner matrices and sample covariance matrices, and prove Central Limit Theorem for linear eigenvalue statistics under rather weak (comparing with results known before) conditions on the number of derivatives of the test functions and also on the number of the entries moments. Moreover, we develop a universal method which allows one to obtain automatically the bounds for the variance of differentiable test functions, if there is a bound for the variance of the trace of the resolvent of random matrix. The method is applicable not only to the Wigner and sample covariance matrices, but to any ensemble of hermitian or real symmetric random matrices.
format Article
author Shcherbina, M.
spellingShingle Shcherbina, M.
Central Limit Theorem for Linear Eigenvalue Statistics of the Wigner and Sample Covariance Random Matrices
Журнал математической физики, анализа, геометрии
author_facet Shcherbina, M.
author_sort Shcherbina, M.
title Central Limit Theorem for Linear Eigenvalue Statistics of the Wigner and Sample Covariance Random Matrices
title_short Central Limit Theorem for Linear Eigenvalue Statistics of the Wigner and Sample Covariance Random Matrices
title_full Central Limit Theorem for Linear Eigenvalue Statistics of the Wigner and Sample Covariance Random Matrices
title_fullStr Central Limit Theorem for Linear Eigenvalue Statistics of the Wigner and Sample Covariance Random Matrices
title_full_unstemmed Central Limit Theorem for Linear Eigenvalue Statistics of the Wigner and Sample Covariance Random Matrices
title_sort central limit theorem for linear eigenvalue statistics of the wigner and sample covariance random matrices
publisher Фізико-технічний інститут низьких температур ім. Б.І. Вєркіна НАН України
publishDate 2011
url http://dspace.nbuv.gov.ua/handle/123456789/106671
citation_txt Central Limit Theorem for Linear Eigenvalue Statistics of the Wigner and Sample Covariance Random Matrices / M. Shcherbina // Журнал математической физики, анализа, геометрии. — 2011. — Т. 7, № 2. — С. 176-192. — Бібліогр.: 15 назв. — англ.
series Журнал математической физики, анализа, геометрии
work_keys_str_mv AT shcherbinam centrallimittheoremforlineareigenvaluestatisticsofthewignerandsamplecovariancerandommatrices
first_indexed 2023-10-18T20:13:27Z
last_indexed 2023-10-18T20:13:27Z
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