
The Oxford Handbook of Random Matrix Theory
by Akemann, Gernot; Baik, Jinho; Di Francesco, PhilippeBuy New
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Summary
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 | |
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