Large Random Matrices: Lectures on Macroscopic Asymptotics: École d’Été de Probabilités de Saint-Flour XXXVI – 2006 (Lecture Notes in Mathematics, 1957) 2009th Edition by Alice Guionnet (PDF)

Description

Random matrix theory has developed in the last few years, in connection with various fields of mathematics and physics. These notes emphasize the relation with the problem of enumerating complicated graphs, and the related large deviations questions. Such questions are also closely related with the asymptotic distribution of matrices, which is naturally defined in the context of free probability and operator algebra.The material of this volume is based on a series of nine lectures given at the Saint-Flour Probability Summer School 2006. Lectures were also given by Maury Bramson and Steffen Lauritzen.

User’s Reviews

Editorial Reviews: Review From the reviews: “This book is a set of lecture notes on eigenvalues of large random matrices. … useful to all mathematicians and statisticians who are interested in Wigner matrices. … In summary, the book is very much worth perusal.” (Vladislav Kargin, Mathematical Reviews, Issue 2010 d) From the Back Cover Random matrix theory has developed in the last few years, in connection with various fields of mathematics and physics. These notes emphasize the relation with the problem of enumerating complicated graphs, and the related large deviations questions. Such questions are also closely related with the asymptotic distribution of matrices, which is naturally defined in the context of free probability and operator algebra.The material of this volume is based on a series of nine lectures given at the Saint-Flour Probability Summer School 2006. Lectures were also given by Maury Bramson and Steffen Lauritzen.

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