A First Course In Random Matrix Theory
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A First Course in Random Matrix Theory
Author: Marc Potters
language: en
Publisher: Cambridge University Press
Release Date: 2020-12-03
An intuitive, up-to-date introduction to random matrix theory and free calculus, with real world illustrations and Big Data applications.
Introduction to Random Matrices
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.
An Introduction to Random Matrices
Author: Greg W. Anderson
language: en
Publisher: Cambridge University Press
Release Date: 2010
A rigorous introduction to the basic theory of random matrices designed for graduate students with a background in probability theory.