Spectral density of the non-central correlated Wishart ensembles
Vinayak

TL;DR
This paper derives a self-consistent equation for the spectral density of non-central correlated Wishart matrices, extending the understanding of their eigenvalue distributions in large dimensions.
Contribution
It introduces the non-central correlated Wishart ensemble and provides a theoretical framework to analyze its spectral density using the Pastur equation.
Findings
Derived the Pastur self-consistent equation for nc-CWE
Characterized the spectral density at large matrix dimensions
Extended Wishart ensemble analysis to non-zero mean matrices
Abstract
Wishart ensembles of random matrix theory have been useful in modeling positive definite matrices encountered in classical and quantum chaotic systems. We consider nonzero means for the entries of the constituting matrix A which defines the correlated Wishart matrix as W = AA{\dag}, and refer to the ensemble of such Wishart matrices as the non-central correlated Wishart ensemble (nc-CWE). We derive the Pastur self-consistent equation which describes the spectral density of nc-CWE at large matrix dimension.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
