Beyond universality in random matrix theory

In order to have a better understanding of finite random matrices with non-Gaussian entries, we study the 1/N expansion of local eigenvalue statistics in both the bulk and at the hard edge of the spectrum of random matrices. This gives valuable information about the smallest singular value not seen...

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Bibliographic Details
Main Authors: Péché, S. (Author), Edelman, Alan (Contributor), Guionnet, Alice (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Mathematics (Contributor)
Format: Article
Language:English
Published: Institute of Mathematical Statistics, 2018-05-10T18:20:46Z.
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Online Access:Get fulltext
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100 1 0 |a Péché, S.  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Mathematics  |e contributor 
100 1 0 |a Edelman, Alan  |e contributor 
100 1 0 |a Guionnet, Alice  |e contributor 
700 1 0 |a Edelman, Alan  |e author 
700 1 0 |a Guionnet, Alice  |e author 
245 0 0 |a Beyond universality in random matrix theory 
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856 |z Get fulltext  |u http://hdl.handle.net/1721.1/115297 
520 |a In order to have a better understanding of finite random matrices with non-Gaussian entries, we study the 1/N expansion of local eigenvalue statistics in both the bulk and at the hard edge of the spectrum of random matrices. This gives valuable information about the smallest singular value not seen in universality laws. In particular, we show the dependence on the fourth moment (or the kurtosis) of the entries. This work makes use of the so-called complex Gaussian divisible ensembles for both Wigner and sample covariance matrices. 
655 7 |a Article 
773 |t The Annals of Applied Probability