Eigenvalue distribution of random operators and matrices
Leonid Pastur (1991-1992)
Séminaire Bourbaki
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Leonid Pastur (1991-1992)
Séminaire Bourbaki
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Soshnikov, Alexander (2004)
Electronic Communications in Probability [electronic only]
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Yan V. Fyodorov, Hans-Jürgen Sommers, Boris A. Khoruzhenko (1998)
Annales de l'I.H.P. Physique théorique
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Laurent Bruneau, Alain Joye, Marco Merkli (2010)
Annales de l'I.H.P. Probabilités et statistiques
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Let be a product of independent, identically distributed random matrices , with the properties that is bounded in , and that has a deterministic (constant) invariant vector. Assume that the probability of having only the simple eigenvalue 1 on the unit circle does not vanish. We show that is the sum of a fluctuating and a decaying process. The latter converges to zero almost surely, exponentially fast as →∞. The fluctuating part converges...
P. Dueck, S. O'Rourke, D. Renfrew, A. Soshnikov (2011)
Banach Center Publications
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We consider large Wigner random matrices and related ensembles of real symmetric and Hermitian random matrices. Our results are related to the local spectral properties of these ensembles.
Oraby, Tamer F. (2007)
Electronic Communications in Probability [electronic only]
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W. Hachem, P. Loubaton, J. Najim (2006)
Annales de l'I.H.P. Probabilités et statistiques
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Duheille-Bienvenüe, Frédérique, Guillotin-Plantard, Nadine (2003)
Electronic Communications in Probability [electronic only]
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Alexander E. Litvak, Omar Rivasplata (2012)
Studia Mathematica
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We extend probability estimates on the smallest singular value of random matrices with independent entries to a class of sparse random matrices. We show that one can relax a previously used condition of uniform boundedness of the variances from below. This allows us to consider matrices with null entries or, more generally, with entries having small variances. Our results do not assume identical distribution of the entries of a random matrix and help to clarify the role of the variances...