Universality in the two matrix model: a Riemann-Hilbert steepest descent analysis

Abstract

The eigenvalue statistics of a pair $(M_1,M_2)$ of $n\times n$ Hermitian matrices taken random with respect to the measure $$\frac{1}{Z_n}\exp\big(-n\Tr (V(M_1)+W(M_2)-τM_1M_2)\big) {\rm d}M_1 {\rm d} M_2 $$ can be described in terms of two families of biorthogonal polynomials. In this paper we give a steepest descent analysis of a $4\times 4$ matrix-valued Riemann-Hilbert problem characterizing one of the families of biorthogonal polynomials in the special case $W(y)=y^4/4$ and $V$ an even polynomial. As a result we obtain the limiting behavior of the correlation kernel associated to the eigenvalues of $M_1$ (when averaged over $M_2$) in the global and local regime as $n\to \infty$ in the one-cut regular case. A special feature in the analysis is the introduction of a vector equilibrium problem involving both an external field and an upper constraint.

73 pages, 7 figures

References in corpus (10)

• Differential systems for biorthogonal polynomials appearing in 2-matrix models and the associated Riemann-Hilbert problem
• Universality of a double scaling limit near singular edge points in random matrix models
• The Cauchy two-matrix model
• Eigenvalue distribution of large random matrices, from one matrix to several coupled matrices
• The PDEs of biorthogonal polynomials arising in the two-matrix model
• Mixed correlation function and spectral curve for the 2-matrix model
• Peakons and Cauchy Biorthogonal Polynomials
• First Colonization of a Spectral Outpost in Random Matrix Theory
• An equilibrium problem for the limiting eigenvalue distribution of banded Toeplitz matrices
• Regularity of a vector potential problem and its spectral curve