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Differential Operators and Spectral Distributions of Invariant Ensembles from the Classical Orthogonal Polynomials. The Continuous Case

机译:古典正交多项式的不变集合的微分算子和谱分布。连续案

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摘要

Following the investigation by U. Haagerup and S. Thorbjornsen, we present a simple differential approach to the limit theorems for empirical spectral distributions of complex random matrices from the Gaussian, Laguerre and Jacobi Unitary Ensembles. In the framework of abstract Markov diffusion operators, we derive by the integration by parts formula differential equations for Laplace transforms and recurrence equations for moments of eigenfunction measures. In particular, a new description of the equilibrium measures as adapted mixtures of the universal arcsine law with an independent uniform distribution is emphasized. The moment recurrence relations are used to describe sharp, non asymptotic, small deviation inequalities on the largest eigenvalues at the rate given by the Tracy-Widom asymptotics.
机译:根据U. Haagerup和S. Thorbjornsen的研究,我们提出了一种简单的微分方法,来解决高斯,拉盖尔和雅可比Unit合群的复杂随机矩阵的经验谱分布的极限定理。在抽象马尔可夫扩散算子的框架中,我们通过部分积分公式得出拉普拉斯变换的微分方程和本征函数测度矩的递推方程。特别地,强调了对平衡度量的新描述,该平衡度量是具有独立均匀分布的通用反正弦定律的适应混合物。矩递归关系用于描述最大特征值上的尖锐,非渐近,小偏差不等式,其特雷西-维多姆渐近式给出的速率。

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