The empirical eigenvalue distribution of a Gram matrix: From independence to stationarity

dc.creatorHachem, W.
dc.creatorLoubaton, P.
dc.creatorNajim, J.
dc.date2005-02-25
dc.date.accessioned2026-07-07T08:06:43Z
dc.date.available2026-07-07T08:06:43Z
dc.descriptionConsider a $N\times n$ random matrix $Z_n=(Z^n_{j_1 j_2})$ where the individual entries are a realization of a properly rescaled stationary gaussian random field. The purpose of this article is to study the limiting empirical distribution of the eigenvalues of Gram random matrices such as $Z_n Z_n ^*$ and $(Z_n +A_n)(Z_n +A_n)^*$ where $A_n$ is a deterministic matrix with appropriate assumptions in the case where $n\to \infty$ and $\frac Nn \to c \in (0,\infty)$. The proof relies on related results for matrices with independent but not identically distributed entries and substantially differs from related works in the literature (Boutet de Monvel et al., Girko, etc.).
dc.description15 pages
dc.identifierhttps://arxiv.org/abs/math/0502535
dc.identifierhttp://arxiv.org/abs/math/0502535
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/130703
dc.subjectProbability
dc.subjectStatistics Theory
dc.subject15A52; 15A18; 60F15
dc.titleThe empirical eigenvalue distribution of a Gram matrix: From independence to stationarity
dc.typetext

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