Beta Laguerre ensembles in global regime

Beta Laguerre ensembles which are generalizations of Wishart ensembles and Laguerre ensembles can be realized as eigenvalues of certain random tridiagonal matrices. Analogous to the Wishart (\(\beta=1\)) case and the Laguerre (\(\beta = 2\)) case, for fixed \(\beta\), it is known that the empirical...

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Bibliographic Details
Published in:arXiv.org 2019-07
Main Authors: Trinh, Hoang Dung, Trinh, Khanh Duy
Format: Article
Language:English
Subjects:
Economic models
Eigenvalues
Polynomials
Variation
Online Access:Get full text
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Summary:Beta Laguerre ensembles which are generalizations of Wishart ensembles and Laguerre ensembles can be realized as eigenvalues of certain random tridiagonal matrices. Analogous to the Wishart (\(\beta=1\)) case and the Laguerre (\(\beta = 2\)) case, for fixed \(\beta\), it is known that the empirical distribution of the eigenvalues of these ensembles converges weakly to Marchenko--Pastur distributions, almost surely. The paper restudies the limiting behavior of the empirical distribution but in regimes where the parameter \(\beta\) is allowed to vary as a function of the matrix size \(N\). We show that the above Marchenko--Pastur law holds as long as \(\beta N \to \infty\). When \(\beta N \to 2c \in (0, \infty)\), the limit is related to associated Laguerre orthogonal polynomials. Gaussian fluctuations around the limit are also studied.
ISSN:2331-8422