Global and local limits for products of rectangular Ginibre matrices
Yandong Gu

TL;DR
This paper analyzes the singular value distribution of products of independent rectangular Ginibre matrices, deriving the limiting spectral density and demonstrating universal local statistics in the bulk.
Contribution
It extends classical results for square matrices to rectangular matrices, providing new insights into their spectral behavior in the asymptotic limit.
Findings
Limiting spectral density derived for rectangular Ginibre matrix products
Bulk local statistics follow the universal sine kernel
Generalization from square to rectangular matrix products
Abstract
We investigate singular value statistics for products of independent rectangular complex Ginibre matrices. When the rectangularity parameters of the matrices converge to a common limit in the asymptotic regime, the limiting spectral density is derived, and the local statistics in the bulk are shown to be governed by the universal sine kernel. This generalizes the classical results for products of square Ginibre matrices to a specific class of rectangular matrix products.
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Taxonomy
TopicsRandom Matrices and Applications · Quantum Information and Cryptography · Mathematical functions and polynomials
