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首页> 外文期刊>The Annals of Probability: An Official Journal of the Institute of Mathematical Statistics >RANDOM MATRICES: UNIVERSALITY OF LOCAL SPECTRAL STATISTICS OF NON-HERMITIAN MATRICES
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RANDOM MATRICES: UNIVERSALITY OF LOCAL SPECTRAL STATISTICS OF NON-HERMITIAN MATRICES

机译:随机矩阵:非厄米矩阵的局部光谱统计量的普遍性

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摘要

It is a classical result of Ginibre that the normalized bulk k-point correlation functions of a complex n x n Gaussian matrix with independent entries of mean zero and unit variance are asymptotically given by the determinantal point process on C with kernel K-infinity (z, w):=1/pi e-vertical bar z vertical bar(2)/2-vertical bar w vertical bar(2)/2+z (w) over bar in the limit n ->infinity. In this paper, we show that this asymptotic law is universal among all random n x n matrices M-n whose entries are jointly independent, exponentially decaying, have independent real and imaginary parts and whose moments match that of the complex Gaussian ensemble to fourth order. Analogous results at the edge of the spectrum are also obtained. As an application, we extend a central limit theorem for the number of eigenvalues of complex Gaussian matrices in a small disk to these more general ensembles.
机译:基尼伯(Ginibre)的经典结果是,具有C且核K无穷大(z,w ):= 1 / pi e竖线z竖线(2)/ 2-竖线w竖线(2)/ 2 + z(w)在极限n->无限大的条上。在本文中,我们证明了这种渐近定律在所有随机的n x n矩阵M-n中都是通用的,它们的入口共同独立,呈指数衰减,具有独立的实部和虚部,并且其矩与复高斯系综的矩匹配。还获得了频谱边缘的类似结果。作为应用,我们将小磁盘中复杂高斯矩阵特征值的个数的中心极限定理扩展到这些更一般的集合。

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