Random matrix theory is applied by physicists and mathematicians to understand phenomena in nature and deep mathematical structures. This book offers a comprehensive look at random matrix theory by leading researchers, including applications inside and outside of physics and mathematics.
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| Forward | |
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| Introduction | |
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| Guide to the Handbook | |
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| History | |
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| Properties of Random Matrix Theory | |
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| Symmetry Classes | |
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| Spectral Statisitics of Unitary Emsembles | |
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| Spectral Statistics of Orthogonal and Symplectic Ensembles | |
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| Universality | |
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| Supersymmetry | |
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| Replica Approach | |
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| Painleve Transcendents | |
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| Random Matrices and Integrable Systems | |
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| Determinantal Point Processes | |
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| Random Matrix Representations of Critical Statistics | |
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| Heavy-Tailed Random Matrices | |
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| Phase Transitions | |
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| Two-Matrix Models and Biorthogonal Polynomials | |
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| Loop Equation Method | |
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| Unitary Integrals and Related Matrix Models | |
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| Non-Hermitian Ensembles | |
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| Characteristic Polynomials | |
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| Beta Ensembles | |
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| Wigner Matrices | |
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| Free Probability Theory | |
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| Random Banded and Sparse Matrices | |
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| Applications of Random Matrix Theory | |
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| Number Theory | |
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| Random Permutations | |
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| Enumeration of Maps | |
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| Knot Theory | |
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| Multivariate Statistics | |
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| Algrebraic Geometry | |
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| Two-Dimensional Quantum Gravity | |
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| String Theory | |
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| Quantum Chromodynamics | |
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| Quantum Chaos and Quantum Graphs | |
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| Resonance Scattering in Chaotic Systems | |
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| Condensed Matter Physics | |
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| Optics | |
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| Extreme Eigenvalues of Wishart Matrices and Entangled Bipartite System | |
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| Random Growth Models | |
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| Laplacian Growth | |
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| Financial Applications | |
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| Information Theory | |
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| Ribonucleic Acid Folding | |
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| Complex Networks | |
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