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Orthogonal polynomials in the normal matrix model with a cubic potential

机译:具有三次电势的正态矩阵模型中的正交多项式

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摘要

We consider the normal matrix model with a cubic potential. The model is ill-defined, and in order to regularize 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 (μ _1, μ _2) on the complex plane. We then formulate a 3×3 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 (μ _1, μ _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 μ _1, the first component of the equilibrium measure. We also obtain analytical results for the measure μ _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.
机译:我们考虑具有三次电势的正态矩阵模型。该模型定义不明确,为了对其进行正则化,Elbau和Felder引入了一个具有截断值的模型,以及对应于复杂平面上截断区域上变化的指数权重的正交多项式系统。在本文中,我们展示了如何在复杂平面上经过特殊选择的无限轮廓系统上定义正交多项式,而没有任何截止值,它们满足对于Elbau和Felder正交多项式渐近有效的相同递归代数恒等式。本文的主要目的是针对所考虑的正交多项式开发Riemann-Hilbert(RH)方法,并随着多项式的阶次n趋于无穷大而获得其在复平面上的渐近行为。作为RH方法的第一步,我们为复平面上的一对度量(μ_1,μ_2)引入了辅助向量平衡问题。然后,我们为手中的正交多项式制定了一个3×3矩阵值的RH问题,并将Deift-Zhou的非线性最速下降方法应用于RH问题的渐近分析。我们研究的中心步骤是根据平衡矢量度量(μ_1,μ_2)和整体参数的构造,对RH问题进行一系列转换。本文的主要结果是在整个复平面上推导正交多项式的大n个渐近性。我们证明正交多项式的零分布收敛于度量μ_1,即平衡度量的第一分量。我们还获得了与标准矩阵模型中特征值分布相关的度量μ_1的分析结果,该特征矩阵在由简单闭合曲线界定的域中是均匀的。

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