Random Matrix Theory

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Introduction to Random Matrices

Author : Giacomo Livan
Publisher : Springer
ISBN 13 : 3319708856
Total Pages : 124 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Introduction to Random Matrices by : Giacomo Livan

Download or read book Introduction to Random Matrices written by Giacomo Livan and published by Springer. This book was released on 2018-01-16 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Topics in Random Matrix Theory

Author : Terence Tao
Publisher : American Mathematical Society
ISBN 13 : 147047459X
Total Pages : 296 pages
Book Rating : 4.4/5 (74 download)

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Book Synopsis Topics in Random Matrix Theory by : Terence Tao

Download or read book Topics in Random Matrix Theory written by Terence Tao and published by American Mathematical Society. This book was released on 2023-08-24 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of random matrix theory has seen an explosion of activity in recent years, with connections to many areas of mathematics and physics. However, this makes the current state of the field almost too large to survey in a single book. In this graduate text, we focus on one specific sector of the field, namely the spectral distribution of random Wigner matrix ensembles (such as the Gaussian Unitary Ensemble), as well as iid matrix ensembles. The text is largely self-contained and starts with a review of relevant aspects of probability theory and linear algebra. With over 200 exercises, the book is suitable as an introductory text for beginning graduate students seeking to enter the field.

A First Course in Random Matrix Theory

Author : Marc Potters
Publisher : Cambridge University Press
ISBN 13 : 1108488080
Total Pages : 371 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis A First Course in Random Matrix Theory by : Marc Potters

Download or read book A First Course in Random Matrix Theory written by Marc Potters and published by Cambridge University Press. This book was released on 2020-12-03 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: An intuitive, up-to-date introduction to random matrix theory and free calculus, with real world illustrations and Big Data applications.

A Dynamical Approach to Random Matrix Theory

Author : László Erdős
Publisher : American Mathematical Soc.
ISBN 13 : 1470436485
Total Pages : 226 pages
Book Rating : 4.4/5 (74 download)

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Book Synopsis A Dynamical Approach to Random Matrix Theory by : László Erdős

Download or read book A Dynamical Approach to Random Matrix Theory written by László Erdős and published by American Mathematical Soc.. This book was released on 2017-08-30 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Random Matrix Theory with an External Source

Author : Edouard Brézin
Publisher : Springer
ISBN 13 : 9811033161
Total Pages : 138 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Random Matrix Theory with an External Source by : Edouard Brézin

Download or read book Random Matrix Theory with an External Source written by Edouard Brézin and published by Springer. This book was released on 2017-01-11 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a first book to show that the theory of the Gaussian random matrix is essential to understand the universal correlations with random fluctuations and to demonstrate that it is useful to evaluate topological universal quantities. We consider Gaussian random matrix models in the presence of a deterministic matrix source. In such models the correlation functions are known exactly for an arbitrary source and for any size of the matrices. The freedom given by the external source allows for various tunings to different classes of universality. The main interest is to use this freedom to compute various topological invariants for surfaces such as the intersection numbers for curves drawn on a surface of given genus with marked points, Euler characteristics, and the Gromov–Witten invariants. A remarkable duality for the average of characteristic polynomials is essential for obtaining such topological invariants. The analysis is extended to nonorientable surfaces and to surfaces with boundaries.

An Introduction to Random Matrices

Author : Greg W. Anderson
Publisher : Cambridge University Press
ISBN 13 : 0521194520
Total Pages : 507 pages
Book Rating : 4.5/5 (211 download)

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Book Synopsis An Introduction to Random Matrices by : Greg W. Anderson

Download or read book An Introduction to Random Matrices written by Greg W. Anderson and published by Cambridge University Press. This book was released on 2010 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Jinho Baik
Publisher : American Mathematical Soc.
ISBN 13 : 0821848410
Total Pages : 461 pages
Book Rating : 4.8/5 (218 download)

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Book Synopsis Combinatorics and Random Matrix Theory by : Jinho Baik

Download or read book Combinatorics and Random Matrix Theory written by Jinho Baik and published by American Mathematical Soc.. This book was released on 2016-06-22 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Random Matrix Theory and Wireless Communications

Author : Antonia M. Tulino
Publisher : Now Publishers Inc
ISBN 13 : 9781933019000
Total Pages : 196 pages
Book Rating : 4.0/5 (19 download)

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Book Synopsis Random Matrix Theory and Wireless Communications by : Antonia M. Tulino

Download or read book Random Matrix Theory and Wireless Communications written by Antonia M. Tulino and published by Now Publishers Inc. This book was released on 2004 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Random Matrix Theory and Wireless Communications is the first tutorial on random matrices which provides an overview of the theory and brings together in one source the most significant results recently obtained.

The Random Matrix Theory of the Classical Compact Groups

Author : Elizabeth S. Meckes
Publisher : Cambridge University Press
ISBN 13 : 1108317995
Total Pages : 225 pages
Book Rating : 4.1/5 (83 download)

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Book Synopsis The Random Matrix Theory of the Classical Compact Groups by : Elizabeth S. Meckes

Download or read book The Random Matrix Theory of the Classical Compact Groups written by Elizabeth S. Meckes and published by Cambridge University Press. This book was released on 2019-08-01 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to provide a comprehensive overview of foundational results and recent progress in the study of random matrices from the classical compact groups, drawing on the subject's deep connections to geometry, analysis, algebra, physics, and statistics. The book sets a foundation with an introduction to the groups themselves and six different constructions of Haar measure. Classical and recent results are then presented in a digested, accessible form, including the following: results on the joint distributions of the entries; an extensive treatment of eigenvalue distributions, including the Weyl integration formula, moment formulae, and limit theorems and large deviations for the spectral measures; concentration of measure with applications both within random matrix theory and in high dimensional geometry; and results on characteristic polynomials with connections to the Riemann zeta function. This book will be a useful reference for researchers and an accessible introduction for students in related fields.

Random Matrix Theory

Author : Percy Deift
Publisher : American Mathematical Soc.
ISBN 13 : 0821883577
Total Pages : 236 pages
Book Rating : 4.8/5 (218 download)

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Book Synopsis Random Matrix Theory by : Percy Deift

Download or read book Random Matrix Theory written by Percy Deift and published by American Mathematical Soc.. This book was released on 2009-01-01 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

The Oxford Handbook of Random Matrix Theory

Author : Gernot Akemann
Publisher : Oxford Handbooks
ISBN 13 : 9780198744191
Total Pages : 0 pages
Book Rating : 4.7/5 (441 download)

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Book Synopsis The Oxford Handbook of Random Matrix Theory by : Gernot Akemann

Download or read book The Oxford Handbook of Random Matrix Theory written by Gernot Akemann and published by Oxford Handbooks. This book was released on 2015-08-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: With a foreword by Freeman Dyson, the handbook brings together leading mathematicians and physicists to offer a comprehensive overview of random matrix theory, including a guide to new developments and the diverse range of applications of this approach.In part one, all modern and classical techniques of solving random matrix models are explored, including orthogonal polynomials, exact replicas or supersymmetry.

Recent Perspectives in Random Matrix Theory and Number Theory

Author : F. Mezzadri
Publisher : Cambridge University Press
ISBN 13 : 0521620589
Total Pages : 530 pages
Book Rating : 4.5/5 (216 download)

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Book Synopsis Recent Perspectives in Random Matrix Theory and Number Theory by : F. Mezzadri

Download or read book Recent Perspectives in Random Matrix Theory and Number Theory written by F. Mezzadri and published by Cambridge University Press. This book was released on 2005-06-21 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a grounding in random matrix techniques applied to analytic number theory.

Random Matrices

Author : Madan Lal Mehta
Publisher : Elsevier
ISBN 13 : 008047411X
Total Pages : 707 pages
Book Rating : 4.0/5 (84 download)

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Book Synopsis Random Matrices by : Madan Lal Mehta

Download or read book Random Matrices written by Madan Lal Mehta and published by Elsevier. This book was released on 2004-10-06 with total page 707 pages. Available in PDF, EPUB and Kindle. Book excerpt: Random Matrices gives a coherent and detailed description of analytical methods devised to study random matrices. These methods are critical to the understanding of various fields in in mathematics and mathematical physics, such as nuclear excitations, ultrasonic resonances of structural materials, chaotic systems, the zeros of the Riemann and other zeta functions. More generally they apply to the characteristic energies of any sufficiently complicated system and which have found, since the publication of the second edition, many new applications in active research areas such as quantum gravity, traffic and communications networks or stock movement in the financial markets. This revised and enlarged third edition reflects the latest developements in the field and convey a greater experience with results previously formulated. For example, the theory of skew-orthogoanl and bi-orthogonal polynomials, parallel to that of the widely known and used orthogonal polynomials, is explained here for the first time. Presentation of many new results in one place for the first time First time coverage of skew-orthogonal and bi-orthogonal polynomials and their use in the evaluation of some multiple integrals Fredholm determinants and Painlevé equations The three Gaussian ensembles (unitary, orthogonal, and symplectic); their n-point correlations, spacing probabilities Fredholm determinants and inverse scattering theory Probability densities of random determinants

Log-Gases and Random Matrices (LMS-34)

Author : Peter J. Forrester
Publisher : Princeton University Press
ISBN 13 : 1400835410
Total Pages : 808 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis Log-Gases and Random Matrices (LMS-34) by : Peter J. Forrester

Download or read book Log-Gases and Random Matrices (LMS-34) written by Peter J. Forrester and published by Princeton University Press. This book was released on 2010-07-01 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt: Random matrix theory, both as an application and as a theory, has evolved rapidly over the past fifteen years. Log-Gases and Random Matrices gives a comprehensive account of these developments, emphasizing log-gases as a physical picture and heuristic, as well as covering topics such as beta ensembles and Jack polynomials. Peter Forrester presents an encyclopedic development of log-gases and random matrices viewed as examples of integrable or exactly solvable systems. Forrester develops not only the application and theory of Gaussian and circular ensembles of classical random matrix theory, but also of the Laguerre and Jacobi ensembles, and their beta extensions. Prominence is given to the computation of a multitude of Jacobians; determinantal point processes and orthogonal polynomials of one variable; the Selberg integral, Jack polynomials, and generalized hypergeometric functions; Painlevé transcendents; macroscopic electrostatistics and asymptotic formulas; nonintersecting paths and models in statistical mechanics; and applications of random matrix theory. This is the first textbook development of both nonsymmetric and symmetric Jack polynomial theory, as well as the connection between Selberg integral theory and beta ensembles. The author provides hundreds of guided exercises and linked topics, making Log-Gases and Random Matrices an indispensable reference work, as well as a learning resource for all students and researchers in the field.

Random Matrices

Author : Alexei Borodin
Publisher : American Mathematical Soc.
ISBN 13 : 1470452804
Total Pages : 498 pages
Book Rating : 4.4/5 (74 download)

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Book Synopsis Random Matrices by : Alexei Borodin

Download or read book Random Matrices written by Alexei Borodin and published by American Mathematical Soc.. This book was released on 2019-10-30 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Random matrix theory has many roots and many branches in mathematics, statistics, physics, computer science, data science, numerical analysis, biology, ecology, engineering, and operations research. This book provides a snippet of this vast domain of study, with a particular focus on the notations of universality and integrability. Universality shows that many systems behave the same way in their large scale limit, while integrability provides a route to describe the nature of those universal limits. Many of the ten contributed chapters address these themes, while others touch on applications of tools and results from random matrix theory. This book is appropriate for graduate students and researchers interested in learning techniques and results in random matrix theory from different perspectives and viewpoints. It also captures a moment in the evolution of the theory, when the previous decade brought major break-throughs, prompting exciting new directions of research.

Applications of Random Matrices in Physics

Author : Édouard Brezin
Publisher : Springer Science & Business Media
ISBN 13 : 140204531X
Total Pages : 519 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Applications of Random Matrices in Physics by : Édouard Brezin

Download or read book Applications of Random Matrices in Physics written by Édouard Brezin and published by Springer Science & Business Media. This book was released on 2006-07-03 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Spectral Analysis of Large Dimensional Random Matrices

Author : Zhidong Bai
Publisher : Springer Science & Business Media
ISBN 13 : 1441906614
Total Pages : 560 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Spectral Analysis of Large Dimensional Random Matrices by : Zhidong Bai

Download or read book Spectral Analysis of Large Dimensional Random Matrices written by Zhidong Bai and published by Springer Science & Business Media. This book was released on 2009-12-10 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of the book is to introduce basic concepts, main results, and widely applied mathematical tools in the spectral analysis of large dimensional random matrices. The core of the book focuses on results established under moment conditions on random variables using probabilistic methods, and is thus easily applicable to statistics and other areas of science. The book introduces fundamental results, most of them investigated by the authors, such as the semicircular law of Wigner matrices, the Marcenko-Pastur law, the limiting spectral distribution of the multivariate F matrix, limits of extreme eigenvalues, spectrum separation theorems, convergence rates of empirical distributions, central limit theorems of linear spectral statistics, and the partial solution of the famous circular law. While deriving the main results, the book simultaneously emphasizes the ideas and methodologies of the fundamental mathematical tools, among them being: truncation techniques, matrix identities, moment convergence theorems, and the Stieltjes transform. Its treatment is especially fitting to the needs of mathematics and statistics graduate students and beginning researchers, having a basic knowledge of matrix theory and an understanding of probability theory at the graduate level, who desire to learn the concepts and tools in solving problems in this area. It can also serve as a detailed handbook on results of large dimensional random matrices for practical users. This second edition includes two additional chapters, one on the authors' results on the limiting behavior of eigenvectors of sample covariance matrices, another on applications to wireless communications and finance. While attempting to bring this edition up-to-date on recent work, it also provides summaries of other areas which are typically considered part of the general field of random matrix theory.