A Sharp Small Deviation Inequality for the Largest Eigenvalue of a Random Matrix Guillaume Aubrun ´ Universit´e de Paris 6, Institut de Math´ematiques, Equipe d’Analyse Fonctionnelle, - Hermite distribution - Document - PDFSEARCH.IO

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	A Sharp Small Deviation Inequality for the Largest Eigenvalue of a Random Matrix Guillaume Aubrun ´ Universit´e de Paris 6, Institut de Math´ematiques, Equipe d’Analyse Fonctionnelle, Add to Reading List Document Date: 2006-10-03 05:37:12 Open Document File Size: 178,43 KB Share Result on Facebook City Paris / / Company Kn / KL / / IndustryTerm integral operator / semi-circle law / mass transportation problem / transportation problem / / Organization Gaussian Unitary Ensemble / Laguerre Unitary Ensemble / Gaussian Unitary Ensemble GUE / Gaussian Orthogonal Ensemble / / Person Ai / Guillaume Aubrun / / SocialTag Functional analysis Measure theory Hermite polynomials Polynomials Wasserstein metric Hilbert space Tracy–Widom distribution Lp space Sturm–Liouville theory Mathematical analysis

A Sharp Small Deviation Inequality for the Largest Eigenvalue of a Random Matrix Guillaume Aubrun ´ Universit´e de Paris 6, Institut de Math´ematiques, Equipe d’Analyse Fonctionnelle,Add to Reading List