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A Dynamical Approach to Random Matrix Theory

A Dynamical Approach to Random Matrix Theory
Author: László Erdős
Publisher: American Mathematical Soc.
Total Pages: 226
Release: 2017-08-30
Genre: Random matrices
ISBN: 1470436485

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A co-publication of the AMS and the Courant Institute of Mathematical Sciences at New York University This book is a concise and self-contained introduction of recent techniques to prove local spectral universality for large random matrices. Random matrix theory is a fast expanding research area, and this book mainly focuses on the methods that the authors participated in developing over the past few years. Many other interesting topics are not included, and neither are several new developments within the framework of these methods. The authors have chosen instead to present key concepts that they believe are the core of these methods and should be relevant for future applications. They keep technicalities to a minimum to make the book accessible to graduate students. With this in mind, they include in this book the basic notions and tools for high-dimensional analysis, such as large deviation, entropy, Dirichlet form, and the logarithmic Sobolev inequality. This manuscript has been developed and continuously improved over the last five years. The authors have taught this material in several regular graduate courses at Harvard, Munich, and Vienna, in addition to various summer schools and short courses. Titles in this series are co-published with the Courant Institute of Mathematical Sciences at New York University.


Introduction to Random Matrices

Introduction to Random Matrices
Author: Giacomo Livan
Publisher: Springer
Total Pages: 124
Release: 2018-01-16
Genre: Science
ISBN: 3319708856

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Modern developments of Random Matrix Theory as well as pedagogical approaches to the standard core of the discipline are surprisingly hard to find in a well-organized, readable and user-friendly fashion. This slim and agile book, written in a pedagogical and hands-on style, without sacrificing formal rigor fills this gap. It brings Ph.D. students in Physics, as well as more senior practitioners, through the standard tools and results on random matrices, with an eye on most recent developments that are not usually covered in introductory texts. The focus is mainly on random matrices with real spectrum.The main guiding threads throughout the book are the Gaussian Ensembles. In particular, Wigner’s semicircle law is derived multiple times to illustrate several techniques (e.g., Coulomb gas approach, replica theory).Most chapters are accompanied by Matlab codes (stored in an online repository) to guide readers through the numerical check of most analytical results.


Random Matrix Theory

Random Matrix Theory
Author: Percy Deift
Publisher: American Mathematical Soc.
Total Pages: 236
Release: 2009-01-01
Genre: Mathematics
ISBN: 0821883577

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"This book features a unified derivation of the mathematical theory of the three classical types of invariant random matrix ensembles-orthogonal, unitary, and symplectic. The authors follow the approach of Tracy and Widom, but the exposition here contains a substantial amount of additional material, in particular, facts from functional analysis and the theory of Pfaffians. The main result in the book is a proof of universality for orthogonal and symplectic ensembles corresponding to generalized Gaussian type weights following the authors' prior work. New, quantitative error estimates are derived." --Book Jacket.


An Introduction to Random Matrices

An Introduction to Random Matrices
Author: Greg W. Anderson
Publisher: Cambridge University Press
Total Pages: 507
Release: 2010
Genre: Mathematics
ISBN: 0521194520

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A rigorous introduction to the basic theory of random matrices designed for graduate students with a background in probability theory.


Combinatorics and Random Matrix Theory

Combinatorics and Random Matrix Theory
Author: Jinho Baik
Publisher: American Mathematical Soc.
Total Pages: 461
Release: 2016-06-22
Genre: Combinatorial analysis
ISBN: 0821848410

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Over the last fifteen years a variety of problems in combinatorics have been solved in terms of random matrix theory. More precisely, the situation is as follows: the problems at hand are probabilistic in nature and, in an appropriate scaling limit, it turns out that certain key quantities associated with these problems behave statistically like the eigenvalues of a (large) random matrix. Said differently, random matrix theory provides a “stochastic special function theory” for a broad and growing class of problems in combinatorics. The goal of this book is to analyze in detail two key examples of this phenomenon, viz., Ulam's problem for increasing subsequences of random permutations and domino tilings of the Aztec diamond. Other examples are also described along the way, but in less detail. Techniques from many different areas in mathematics are needed to analyze these problems. These areas include combinatorics, probability theory, functional analysis, complex analysis, and the theory of integrable systems. The book is self-contained, and along the way we develop enough of the theory we need from each area that a general reader with, say, two or three years experience in graduate school can learn the subject directly from the text.


A First Course in Random Matrix Theory

A First Course in Random Matrix Theory
Author: Marc Potters
Publisher: Cambridge University Press
Total Pages: 371
Release: 2020-12-03
Genre: Computers
ISBN: 1108488080

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An intuitive, up-to-date introduction to random matrix theory and free calculus, with real world illustrations and Big Data applications.


Applications of Random Matrices in Physics

Applications of Random Matrices in Physics
Author: Édouard Brezin
Publisher: Springer Science & Business Media
Total Pages: 519
Release: 2006-07-03
Genre: Science
ISBN: 140204531X

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Random matrices are widely and successfully used in physics for almost 60-70 years, beginning with the works of Dyson and Wigner. Although it is an old subject, it is constantly developing into new areas of physics and mathematics. It constitutes now a part of the general culture of a theoretical physicist. Mathematical methods inspired by random matrix theory become more powerful, sophisticated and enjoy rapidly growing applications in physics. Recent examples include the calculation of universal correlations in the mesoscopic system, new applications in disordered and quantum chaotic systems, in combinatorial and growth models, as well as the recent breakthrough, due to the matrix models, in two dimensional gravity and string theory and the non-abelian gauge theories. The book consists of the lectures of the leading specialists and covers rather systematically many of these topics. It can be useful to the specialists in various subjects using random matrices, from PhD students to confirmed scientists.


Recent Perspectives in Random Matrix Theory and Number Theory

Recent Perspectives in Random Matrix Theory and Number Theory
Author: F. Mezzadri
Publisher: Cambridge University Press
Total Pages: 530
Release: 2005-06-21
Genre: Mathematics
ISBN: 0521620589

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Provides a grounding in random matrix techniques applied to analytic number theory.


Products of Random Matrices

Products of Random Matrices
Author: Andrea Crisanti
Publisher: Springer Science & Business Media
Total Pages: 172
Release: 2012-12-06
Genre: Science
ISBN: 3642849423

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At the present moment, after the success of the renormalization group in providing a conceptual framework for studying second-order phase tran sitions, we have a nearly satisfactory understanding of the statistical me chanics of classical systems with a non-random Hamiltonian. The situation is completely different if we consider the theory of systems with a random Hamiltonian or of chaotic dynamical systems. The two fields are connected; in fact, in the latter the effects of deterministic chaos can be modelled by an appropriate stochastic process. Although many interesting results have been obtained in recent years and much progress has been made, we still lack a satisfactory understanding of the extremely wide variety of phenomena which are present in these fields. The study of disordered or chaotic systems is the new frontier where new ideas and techniques are being developed. More interesting and deep results are expected to come in future years. The properties of random matrices and their products form a basic tool, whose importance cannot be underestimated. They playa role as important as Fourier transforms for differential equations. This book is extremely interesting as far as it presents a unified approach for the main results which have been obtained in the study of random ma trices. It will become a reference book for people working in the subject. The book is written by physicists, uses the language of physics and I am sure that many physicists will read it with great pleasure.


Large random matrices

Large random matrices
Author: Alice Guionnet
Publisher: Springer Science & Business Media
Total Pages: 296
Release: 2009-03-25
Genre: Mathematics
ISBN: 3540698965

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These lectures emphasize the relation between the problem of enumerating complicated graphs and the related large deviations questions. Such questions are closely related with the asymptotic distribution of matrices.