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Large n Limit of Gaussian Random Matrices with External Source, Part II

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Abstract

We continue the study of the Hermitian random matrix ensemble with external source where A has two distinct eigenvalues ±a of equal multiplicity. This model exhibits a phase transition for the value a=1, since the eigenvalues of M accumulate on two intervals for a>1, and on one interval for 0<a<1. The case a>1 was treated in Part I, where it was proved that local eigenvalue correlations have the universal limiting behavior which is known for unitarily invariant random matrices, that is, limiting eigenvalue correlations are expressed in terms of the sine kernel in the bulk of the spectrum, and in terms of the Airy kernel at the edge. In this paper we establish the same results for the case 0<a<1. As in Part I we apply the Deift/Zhou steepest descent analysis to a 3×3-matrix Riemann-Hilbert problem. Due to the different structure of an underlying Riemann surface, the analysis includes an additional step involving a global opening of lenses, which is a new phenomenon in the steepest descent analysis of Riemann-Hilbert problems.

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Authors and Affiliations

  1. Keldysh Institute of Applied Mathematics, Russian Academy of Sciences, Miusskaya Square 4, Moscow, 125047, Russia

    Alexander I. Aptekarev

  2. Department of Mathematical Sciences, Indiana University-Purdue University Indianapolis, 402 N. Blackford St., Indianapolis, IN, 46202, U.S.A

    Pavel M. Bleher

  3. Department of Mathematics, Katholieke Universiteit Leuven, Celestijnenlaan 200 B, 3001, Leuven, Belgium

    Arno B.J Kuijlaars

Authors
  1. Alexander I. Aptekarev
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  2. Pavel M. Bleher
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  3. Arno B.J Kuijlaars
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Correspondence to Alexander I. Aptekarev.

Additional information

Communicated by J.L. Lebowitz

The first and third author are supported in part by INTAS Research Network NeCCA 03-51-6637 and by NATO Collaborative Linkage Grant PST.CLG.979738. The first author is supported in part by RFBR 05-01-00522 and the program “Modern problems of theoretical mathematics” RAS(DMS). The second author is supported in part by the National Science Foundation (NSF) Grant DMS-0354962. The third author is supported in part by FWO-Flanders projects G.0176.02 and G.0455.04 and by K.U.Leuven research grant OT/04/24 and by the European Science Foundation Program Methods of Integrable Systems, Geometry, Applied Mathematics (MISGAM) and the European Network in Geometry, Mathematical Physics and Applications (ENIGMA)

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Aptekarev, A., Bleher, P. & Kuijlaars, A. Large n Limit of Gaussian Random Matrices with External Source, Part II. Commun. Math. Phys. 259, 367–389 (2005). https://doi.org/10.1007/s00220-005-1367-9

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  • DOI: https://doi.org/10.1007/s00220-005-1367-9

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