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arXiv:1004.3848 [math.PR]AbstractReferencesReviewsResources

On bilinear forms based on the resolvent of large random matrices

Walid Hachem, Philippe Loubaton, Jamal Najim, Pascal Vallet

Published 2010-04-22, updated 2011-08-23Version 2

Consider a matrix $\Sigma_n$ with random independent entries, each non-centered with a separable variance profile. In this article, we study the limiting behavior of the random bilinear form $u_n^* Q_n(z) v_n$, where $u_n$ and $v_n$ are deterministic vectors, and Q_n(z) is the resolvent associated to $\Sigma_n \Sigma_n^*$ as the dimensions of matrix $\Sigma_n$ go to infinity at the same pace. Such quantities arise in the study of functionals of $\Sigma_n \Sigma_n^*$ which do not only depend on the eigenvalues of $\Sigma_n \Sigma_n^*$, and are pivotal in the study of problems related to non-centered Gram matrices such as central limit theorems, individual entries of the resolvent, and eigenvalue separation.

Comments: 35 pp. Extended version of the article accepted for publication in Annales de l'Institut Henri Poincar\'e: Probabilit\'e et Statistiques. Additions to the journal version are Section 4.4 and Sections 5.2, 5.3, 5.4, 5.5. These additions provide mathematical details of some aspects of the proofs
Categories: math.PR
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