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On the correlation functions of the characteristic polynomials of the hermitian sample covariance matrices

机译:Hermitian样本协方差矩阵的特征多项式的相关函数

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We consider asymptotic behavior of the correlation functions of the characteristic polynomials of the hermitian sample covariance matrices H_n=n~(-1)A_(m,n) * A_(m,n), where A_(m,n) is a m × n complex random matrix with independent and identically distributed entries Ra_(αj) and Ia_(αj). We show that for the correlation function of any even order the asymptotic behavior in the bulk and at the edge of the spectrum coincides with those for the Gaussian Unitary Ensemble up to a factor, depending only on the fourth moment of the common probability law of entries Ra_(αj) and Ia_(αj), i.e., the higher moments do not contribute to the above limit.
机译:我们考虑埃尔米特样本协方差矩阵H_n = n〜(-1)A_(m,n)* A_(m,n)的特征多项式的相关函数的渐近行为,其中A_(m,n)为am×具有独立且均匀分布的条目Ra_(αj)和Ia_(αj)的n个复数随机矩阵。我们表明,对于任何偶数阶的相关函数,在整体中和频谱边缘的渐近行为与高斯En合集合的渐近行为最多相乘一个因数,仅取决于项的共同概率定律的第四阶Ra_(αj)和Ia_(αj),即较高的力矩对上述极限没有贡献。

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