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Almost Sure Weak Convergence for the Generalized Orthogonal Ensemble

机译:广义正交集合的几乎肯定弱收敛

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摘要

The generalized orthogonal ensemble satisfies isoperimetric inequalities analogous to the Gaussian isoperimetric inequality, and an analogue of Wigner's law. Let v be a continuous and even real function such that V(X)=tracev(X) defines a uniformly p-convex function on the real symmetric n×n matrices X for some p≥2. Then ν(dX)=e −V(X) dX/Z satisfies deviation and transportation inequalities analogous to those satisfied by Gaussian measure(6, 27), but for the Schatten c p norm. The map, that associates to each X∈M s n (ℝ) its ordered eigenvalue sequence, induces from ν a measure which satisfies similar inequalities. It follows from such concentration inequalities that the empirical distribution of eigenvalues converges weakly almost surely to some non-random compactly supported probability distribution as n→∞.
机译:广义正交集合满足类似于高斯等参不等式的等式不等式,并且满足维格纳定律。令v是一个连续的甚至是实函数,使得V(X)=​​ tracev(X)/ n定义n等于n的实对称矩阵X上p≥2的一致p凸函数。则ν(dX)= e -V(X) dX / Z满足与高斯测度(6,27)相似的偏差和传输不等式,但对于Schatten cp 规范。映射与每个有序特征值序列相关联的每个X∈Ms(ℝ),从v诱导出满足相似不等式的度量。从这样的集中不等式可以得出,特征值的经验分布几乎可以肯定地弱收敛到一些非随机的,紧凑支持的概率分布,即n→∞。

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