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arXiv 1409.0122math.PR
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广义高斯随机酉矩阵集合

Generalized Gaussian Random Unitary Matrices Ensemble

Mohamed Bouali

摘要:

我们描述广义埃尔米特矩阵系综,有时也称为手征系综。给出了特征值密度或统计密度的全局渐近性。我们将计算有限$n$的这种密度的拉普拉斯变换,其将通过超几何函数来表示。当埃尔米特矩阵的维数足够大时,我们将证明特征值的统计密度在紧拓扑中收敛到某个概率测度,推广了Wigner半圆定律.

英文摘要:

We describe Generalized Hermitian matrices ensemble sometimes called Chiral ensemble. We give global asymptotic of the density of eigenvalues or the statistical density. We will calculate a Laplace transform of such a density for finite $n$, which will be expressed through an hypergeometric function. When the dimensional of the hermitian matrix begin large enough, we will prove that the statistical density of eigenvalues converge in the tight topology to some probability measure, which generalize the Wigner semi-circle law.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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