Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
  1. Home
  2. Books
  3. The Random Matrix Theory of the Classical Compact Groups
  • Cited by 50
Publisher:
Cambridge University Press
Online publication date:
July 2019
Print publication year:
2019
Online ISBN:
9781108303453
DOI:
https://doi.org/10.1017/9781108303453
Subjects:
Mathematics (general), Mathematics, Number Theory, Probability Theory and Stochastic Processes, Statistics and Probability
Series:
Cambridge Tracts in Mathematics (218)
Information

Book description

This is the first book to provide a comprehensive overview of foundational results and recent progress in the study of random matrices from the classical compact groups, drawing on the subject's deep connections to geometry, analysis, algebra, physics, and statistics. The book sets a foundation with an introduction to the groups themselves and six different constructions of Haar measure. Classical and recent results are then presented in a digested, accessible form, including the following: results on the joint distributions of the entries; an extensive treatment of eigenvalue distributions, including the Weyl integration formula, moment formulae, and limit theorems and large deviations for the spectral measures; concentration of measure with applications both within random matrix theory and in high dimensional geometry; and results on characteristic polynomials with connections to the Riemann zeta function. This book will be a useful reference for researchers and an accessible introduction for students in related fields.

Reviews

‘This beautiful book describes an important area of mathematics, concerning random matrices associated with the classical compact groups, in a highly accessible and engaging way. It connects a broad range of ideas and techniques, from analysis, probability theory, and representation theory to recent applications in number theory. It is a really excellent introduction to the subject.'

J. P. Keating - University of Bristol

‘Meckes's new text is a wonderful contribution to the mathematics literature … The book addresses many important topics related to the field of random matrices and provides a who's-who list for the subject in its list of references. Those actively researching in this area should acquire a copy of the book; they will understand the jargon from compact matrix groups, measure theory, and probability …’

A. Misseldine Source: Choice

‘… the author provides an overview of foundational results and recent progress in the study of random matrices from classical compact groups, that is O(n), U(n) and Sp(2n). The main goal is to answer the general question: 'What is a random orthogonal, unitary or symplectic matrix like'?’

Andreas Arvanitoyeorgos Source: zbMATH

‘… this is a useful book which can serve both as a reference and as a supplemental reading for a course in random matrices.’

Vladislav Kargin Source: Mathematical Reviews Clippings

‘The book makes for a wonderful companion to a topics class on random matrices, and an instructor can easily use it either as a stand-alone text or as complementing other textbooks.’

Ofer Zeitouni Source: Bulletin of the American Mathematical Society

Refine List

Actions for selected content:

Select all | Deselect all
  • View selected items
  • Export citations
  • Download PDF (zip)
  • Save to Kindle
  • Save to Dropbox
  • Save to Google Drive

Save Search

You can save your searches here and later view and run them again in "My saved searches".

Please provide a title, maximum of 40 characters.
Cancel
×

Contents

Contents
References

Metrics

Altmetric attention score

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Book summary page views

Total views: 0 *
Loading metrics...

* Views captured on Cambridge Core between #date#. This data will be updated every 24 hours.

Usage data cannot currently be displayed.