English

Large n limit of Gaussian random matrices with external source, Part III: Double scaling limit

Mathematical Physics 2010-07-30 v1 math.MP Probability

Abstract

We consider the double scaling limit in the random matrix ensemble with an external source 1Znen\Tr(1/2M2AM)dM\frac{1}{Z_n} e^{-n \Tr({1/2}M^2 -AM)} dM defined on n×nn\times n Hermitian matrices, where AA is a diagonal matrix with two eigenvalues ±a\pm a of equal multiplicities. The value a=1a=1 is critical since the eigenvalues of MM accumulate as nn \to \infty on two intervals for a>1a > 1 and on one interval for 0<a<10 < a < 1. These two cases were treated in Parts I and II, where we showed that the local eigenvalue correlations have the universal limiting behavior known from unitary random matrix ensembles. For the critical case a=1a=1 new limiting behavior occurs which is described in terms of Pearcey integrals, as shown by Br\'ezin and Hikami, and Tracy and Widom. We establish this result by applying the Deift/Zhou steepest descent method to a 3×33 \times 3-matrix valued Riemann-Hilbert problem which involves the construction of a local parametrix out of Pearcey integrals. We resolve the main technical issue of matching the local Pearcey parametrix with a global outside parametrix by modifying an underlying Riemann surface.

Keywords

Cite

@article{arxiv.math-ph/0602064,
  title  = {Large n limit of Gaussian random matrices with external source, Part III: Double scaling limit},
  author = {Pavel M. Bleher and Arno B. J. Kuijlaars},
  journal= {arXiv preprint arXiv:math-ph/0602064},
  year   = {2010}
}

Comments

36 pages, 9 figures