Random Matrices: High Dimensional Phenomena: 367 (London Mathematical Society Lecture Note Series, Series Number 367) - Image 1

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Cambridge University Press Random Matrices: High Dimensional Phenomena: 367 (London Mathematical Society Lecture Note Series, Series Number 367)

Name: Random Matrices: High Dimensional Phenomena: 367 (London Mathematical Society Lecture Note Series, Series Number 367)
Brand: Cambridge University Press
Price: 40.0 GBP
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Algebra

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Description

This book focuses on the behaviour of large random matrices. Standard results are covered, and the presentation emphasizes elementary operator theory and differential equations, so as to be accessible to graduate students and other non-experts. The introductory chapters review material on Lie groups and probability measures in a style suitable for applications in random matrix theory. Later chapters use modern convexity theory to establish subtle results about the convergence of eigenvalue distributions as the size of the matrices increases. Random matrices are viewed as geometrical objects with large dimension. The book analyzes the concentration of measure phenomenon, which describes how measures behave on geometrical objects with large dimension. To prove such results for random matrices, the book develops the modern theory of optimal transportation and proves the associated functional inequalities involving entropy and information. These include the logarithmic Sobolev inequality, which measures how fast some physical systems converge to equilibrium.

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Product Specifications

Brand: Cambridge University Press
Format: paperback
ASIN: 0521133122
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Algebra
Domain: Amazon UK
Release Date: 08 October 2009
Listed Since: 12 March 2009

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Cambridge University Press Random Matrices: High Dimensional Phenomena: 367 (London Mathematical Society Lecture Note Series, Series Number 367)

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