Orthogonal polynomials in the normal matrix model with a cubic potential

TL;DR

This paper develops a Riemann-Hilbert approach to analyze orthogonal polynomials associated with a regularized normal matrix model with a cubic potential, revealing their asymptotic behavior and zero distribution.

Contribution

It introduces a new method to define orthogonal polynomials on infinite contours without cut-offs and applies RH techniques to derive their asymptotics in the complex plane.

Findings

Orthogonal polynomials' zeros converge to the equilibrium measure μ₁.

Asymptotic behavior of polynomials is characterized on the entire complex plane.

The measure μ₁ relates to eigenvalue distribution in the normal matrix model.

Abstract

We consider the normal matrix model with a cubic potential. The model is ill-defined, and in order to reguralize it, Elbau and Felder introduced a model with a cut-off and corresponding system of orthogonal polynomials with respect to a varying exponential weight on the cut-off region on the complex plane. In the present paper we show how to define orthogonal polynomials on a specially chosen system of infinite contours on the complex plane, without any cut-off, which satisfy the same recurrence algebraic identity that is asymptotically valid for the orthogonal polynomials of Elbau and Felder. The main goal of this paper is to develop the Riemann-Hilbert (RH) approach to the orthogonal polynomials under consideration and to obtain their asymptotic behavior on the complex plane as the degree $n$ of the polynomial goes to infinity. As the first step in the RH approach, we introduce an auxiliary vector equilibrium problem for a pair of measures $(\mu_1,\mu_2)$ on the complex plane. We then formulate a $3\times 3$ matrix valued RH problem for the orthogonal polynomials in hand, and we apply the nonlinear steepest descent method of Deift-Zhou to the asymptotic analysis of the RH problem. The central steps in our study are a sequence of transformations of the RH problem, based on the equilibrium vector measure $(\mu_1,\mu_2)$, and the construction of a global parametrix. The main result of this paper is a derivation of the large $n$ asymptotics of the orthogonal polynomials on the whole complex plane. We prove that the distribution of zeros of the orthogonal polynomials converges to the measure $\mu_1$, the first component of the equilibrium measure. We also obtain analytical results for the measure $\mu_1$ relating it to the distribution of eigenvalues in the normal matrix model which is uniform in a domain bounded by a simple closed curve.