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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.


Applications of Random Matrices in Physics

Applications of Random Matrices in Physics
Author: Édouard Brezin
Publisher: Springer Science & Business Media
Total Pages: 528
Release: 2006-03-03
Genre: Mathematics
ISBN: 9781402045301

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Proceedings of the NATO Advanced Study Institute on Applications of Random Matrices in Physics, Les Houches, France, 6-25 June 2004


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 Models and Their Applications

Random Matrix Models and Their Applications
Author: Pavel Bleher
Publisher: Cambridge University Press
Total Pages: 454
Release: 2001-06-04
Genre: Mathematics
ISBN: 9780521802093

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Expository articles on random matrix theory emphasizing the exchange of ideas between the physical and mathematical communities.


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.


Random Matrix Theory and Wireless Communications

Random Matrix Theory and Wireless Communications
Author: Antonia M. Tulino
Publisher: Now Publishers Inc
Total Pages: 196
Release: 2004
Genre: Computers
ISBN: 9781933019000

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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.


Embedded Random Matrix Ensembles in Quantum Physics

Embedded Random Matrix Ensembles in Quantum Physics
Author: V.K.B. Kota
Publisher: Springer
Total Pages: 401
Release: 2014-07-08
Genre: Science
ISBN: 3319045679

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Although used with increasing frequency in many branches of physics, random matrix ensembles are not always sufficiently specific to account for important features of the physical system at hand. One refinement which retains the basic stochastic approach but allows for such features consists in the use of embedded ensembles. The present text is an exhaustive introduction to and survey of this important field. Starting with an easy-to-read introduction to general random matrix theory, the text then develops the necessary concepts from the beginning, accompanying the reader to the frontiers of present-day research. With some notable exceptions, to date these ensembles have primarily been applied in nuclear spectroscopy. A characteristic example is the use of a random two-body interaction in the framework of the nuclear shell model. Yet, topics in atomic physics, mesoscopic physics, quantum information science and statistical mechanics of isolated finite quantum systems can also be addressed using these ensembles. This book addresses graduate students and researchers with an interest in applications of random matrix theory to the modeling of more complex physical systems and interactions, with applications such as statistical spectroscopy in mind.


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.


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.


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.