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Communications in Mathematical Physics

, Volume 259, Issue 2, pp 367–389 | Cite as

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

  • Alexander I. Aptekarev
  • Pavel M. Bleher
  • Arno B.J  Kuijlaars
Article

Abstract

We continue the study of the Hermitian random matrix ensemble with external source Open image in new window 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.

Keywords

Phase Transition Sine Riemann Surface External Source Random Matrice 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Alexander I. Aptekarev
    • 1
  • Pavel M. Bleher
    • 2
  • Arno B.J  Kuijlaars
    • 3
  1. 1.Keldysh Institute of Applied MathematicsRussian Academy of SciencesMoscowRussia
  2. 2.Department of Mathematical SciencesIndiana University-Purdue University IndianapolisIndianapolisU.S.A
  3. 3.Department of MathematicsKatholieke Universiteit LeuvenLeuvenBelgium

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