The Oxford Handbook of Random Matrix Theory

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Format: Hardcover
Pub. Date: 2011-09-25
Publisher(s): Oxford University Press
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Summary

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. Further, all main extensions of the classical Gaussian ensembles of Wigner and Dyson are introduced including sparse, heavy tailed, non-Hermitian or multi-matrix models. In the second and larger part, all major applications are covered, in disciplines ranging from physics and mathematics to biology and engineering. This includes standard fields such as number theory, quantum chaos or quantum chromodynamics, as well as recent developments such as partitions, growth models, knot theory, wireless communication or bio-polymer folding. The handbook is suitable both for introducing novices to this area of research and as a main source of reference for active researchers in mathematics, physics and engineering.

Table of Contents

Forward
Introduction
Guide to the Handbook
History
Properties of Random Matrix Theory
Symmetry Classes
Spectral Statisitics of Unitary Emsembles
Spectral Statistics of Orthogonal and Symplectic Ensembles
Universality
Supersymmetry
Replica Approach
Painleve Transcendents
Random Matrices and Integrable Systems
Determinantal Point Processes
Random Matrix Representations of Critical Statistics
Heavy-Tailed Random Matrices
Phase Transitions
Two-Matrix Models and Biorthogonal Polynomials
Loop Equation Method
Unitary Integrals and Related Matrix Models
Non-Hermitian Ensembles
Characteristic Polynomials
Beta Ensembles
Wigner Matrices
Free Probability Theory
Random Banded and Sparse Matrices
Applications of Random Matrix Theory
Number Theory
Random Permutations
Enumeration of Maps
Knot Theory
Multivariate Statistics
Algrebraic Geometry
Two-Dimensional Quantum Gravity
String Theory
Quantum Chromodynamics
Quantum Chaos and Quantum Graphs
Resonance Scattering in Chaotic Systems
Condensed Matter Physics
Optics
Extreme Eigenvalues of Wishart Matrices and Entangled Bipartite System
Random Growth Models
Laplacian Growth
Financial Applications
Information Theory
Ribonucleic Acid Folding
Complex Networks
Table of Contents provided by Publisher. All Rights Reserved.

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