{ "id": "2408.10068", "version": "v1", "published": "2024-08-19T15:09:12.000Z", "updated": "2024-08-19T15:09:12.000Z", "title": "Analysis of The Limiting Spectral Distribution of Large Random Matrices of The Marčenko-Pastur Type", "authors": [ "Haoran Li" ], "categories": [ "math.PR", "math.ST", "stat.TH" ], "abstract": "Consider the random matrix \\(\\bW_n = \\bB_n + n^{-1}\\bX_n^*\\bA_n\\bX_n\\), where \\(\\bA_n\\) and \\(\\bB_n\\) are Hermitian matrices of dimensions \\(p \\times p\\) and \\(n \\times n\\), respectively, and \\(\\bX_n\\) is a \\(p \\times n\\) random matrix with independent and identically distributed entries of mean 0 and variance 1. Assume that \\(p\\) and \\(n\\) grow to infinity proportionally, and that the spectral measures of \\(\\bA_n\\) and \\(\\bB_n\\) converge as \\(p, n \\to \\infty\\) towards two probability measures \\(\\calA\\) and \\(\\calB\\). Building on the groundbreaking work of \\cite{marchenko1967distribution}, which demonstrated that the empirical spectral distribution of \\(\\bW_n\\) converges towards a probability measure \\(F\\) characterized by its Stieltjes transform, this paper investigates the properties of \\(F\\) when \\(\\calB\\) is a general measure. We show that \\(F\\) has an analytic density at the region near where the Stieltjes transform of $\\calB$ is bounded. The density closely resembles \\(C\\sqrt{|x - x_0|}\\) near certain edge points \\(x_0\\) of its support for a wide class of \\(\\calA\\) and \\(\\calB\\). We provide a complete characterization of the support of \\(F\\). Moreover, we show that \\(F\\) can exhibit discontinuities at points where \\(\\calB\\) is discontinuous.", "revisions": [ { "version": "v1", "updated": "2024-08-19T15:09:12.000Z" } ], "analyses": { "subjects": [ "15B52" ], "keywords": [ "large random matrices", "random matrix", "limiting spectral distribution", "marčenko-pastur type", "probability measure" ], "note": { "typesetting": "TeX", "pages": 0, "language": "en", "license": "arXiv", "status": "editable" } } }