A necessary and sufficient condition for edge universality at the largest singular values of covariance matrices
arXiv:1607.06873 · doi:10.1214/17-AAP1341
Abstract
In this paper, we prove a necessary and sufficient condition for the edge universality of sample covariance matrices with general population. We consider sample covariance matrices of the form , where the sample is an random matrix with entries with mean zero and variance , and is an deterministic matrix satisfying is diagonal. We study the asymptotic behavior of the largest eigenvalues of when and tends to infinity with . Under mild assumptions of , we prove that the Tracy-Widom law holds for the largest eigenvalue of if and only if . This condition was first proposed for Wigner matrices by Lee and Yin.
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- On the spectral property of kernel-based sensor fusion algorithms of high dimensional data
- Deformed Fréchet law for Wigner and sample covariance matrices with tail in crossover regime