Transactions of the American Mathematical Society

ISSN 1088-6850(online) ISSN 0002-9947(print)



Uniform approximation of eigenvalues in Laguerre and Hermite $ \beta$-ensembles by roots of orthogonal polynomials

Authors: Holger Dette and Lorens A. Imhof
Journal: Trans. Amer. Math. Soc. 359 (2007), 4999-5018
MSC (2000): Primary 60F15, 15A52; Secondary 82B10
Published electronically: May 7, 2007
MathSciNet review: 2320657
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Abstract: We derive strong uniform approximations for the eigenvalues in general Laguerre and Hermite $ \beta$-ensembles by showing that the maximal discrepancy between the suitably scaled eigenvalues and roots of orthogonal polynomials converges almost surely to zero when the dimension converges to infinity. We also provide estimates of the rate of convergence. In the special case of a normalized real Wishart matrix $ W(I_n,s)/s$, where $ n$ denotes the dimension and $ s$ the degrees of freedom, the rate is $ (\log n/s)^{1/4}$, if $ n,s\to\infty$ with $ n\leq s$, and the rate is $ \sqrt{\log n/n}$, if $ n,s\to\infty$ with $ n\leq s\leq n+K$. In the latter case we also show the a.s. convergence of the $ \lfloor nt \rfloor$ largest eigenvalue of $ W(I_n,s)/s$ to the corresponding quantile of the Marcenko-Pastur law.

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Additional Information

Holger Dette
Affiliation: Fakultät für Mathematik, Ruhr-Universität Bochum, 44780 Bochum, Germany

Lorens A. Imhof
Affiliation: Department of Statistics, Bonn University, D-53113 Bonn, Germany

Keywords: Gaussian ensemble, random matrix, rate of convergence, Weyl's inequality, Wishart matrix
Received by editor(s): March 11, 2005
Received by editor(s) in revised form: September 2, 2005
Published electronically: May 7, 2007
Additional Notes: The authors would like to thank Isolde Gottschlich, who typed parts of the paper with considerable technical expertise, and Z.D. Bai and J. Silverstein for some help with the references. We are also grateful to an unknown referee for his/her constructive comments on an earlier version of this paper and to I. Dumitriu for sending us the paper of Dumitriu and Edelman (2004) before publication. The work of the first author was supported by the Deutsche Forschungsgemeinschaft (SFB 475, Komplexitätsreduktion in multivariaten Datenstrukturen). Parts of this paper were written during a visit of the first author at Purdue University and this author would like to thank the Department of Statistics for its hospitality.
Article copyright: © Copyright 2007 American Mathematical Society