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Bulk and soft-edge universality for singular values of products of Ginibre random matrices

机译:Ginibre随机矩阵乘积奇异值的块状和软边通用性

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摘要

It has been shown by Akemann, Ipsen and Kieburg that the squared singular values of products of M rectangular random matrices with independent complex Gaussian entries are distributed according to a determinantal point process with a correlation kernel that admits a representation in terms of Meijer G-functions. We prove the universality of the local statistics of the squared singular values, namely, the bulk universality given by the sine kernel and the edge universality given by the Airy kernel. The proof is based on the asymptotic analysis for the double contour integral representation of the correlation kernel. Our strategy can be generalized to deal with other models of products of random matrices introduced recently and to establish similar universal results. Two more examples are investigated, one is the product of M Ginibre matrices and the inverse of K Ginibre matrices studied by Forrester, and the other one is the product of M - 1 Ginibre matrices with one truncated unitary matrix considered by Kuijlaars and Stivigny.
机译:Akemann,Ipsen和Kieburg已证明,具有独立复数高斯项的M个矩形随机矩阵的乘积的平方奇异值是根据确定点过程进行分配的,该点过程具有相关核,该核允许以Meijer G函数表示。我们证明了平方奇异值的局部统计量的普遍性,即正弦核给出的整体普遍性和艾里核给出的边缘普遍性。该证明基于对相关核的双轮廓积分表示的渐近分析。我们的策略可以推广到最近引入的其他随机矩阵乘积模型,并建立相似的通用结果。研究了另外两个示例,一个是Forrester研究的M Ginibre矩阵的乘积和K Ginibre矩阵的逆,另一个是Kuijlaars和Stivigny考虑的M-1 Ginibre矩阵与一个截断unit矩阵的乘积。

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