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Recent Perspectives in Random Matrix Theory and Number Theory

Recent Perspectives in Random Matrix Theory and Number Theory


Part of London Mathematical Society Lecture Note Series

  • Date Published: July 2005
  • availability: Available
  • format: Paperback
  • isbn: 9780521620581

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About the Authors
  • In recent years the application of random matrix techniques to analytic number theory has been responsible for major advances in this area of mathematics. As a consequence it has created a new and rapidly developing area of research. The aim of this book is to provide the necessary grounding both in relevant aspects of number theory and techniques of random matrix theory, as well as to inform the reader of what progress has been made when these two apparently disparate subjects meet. This volume of proceedings is addressed to graduate students and other researchers in both pure mathematics and theoretical physics. The contributing authors, who are among the world leading experts in this area, have taken care to write self-contained lectures on subjects chosen to produce a coherent volume.

    • Self-contained lectures by world-leading experts in the field
    • The volume is integrated, indexed and cross-referenced
    • This title covers the most important and recent advances in the subject
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    Product details

    • Date Published: July 2005
    • format: Paperback
    • isbn: 9780521620581
    • length: 532 pages
    • dimensions: 229 x 152 x 30 mm
    • weight: 0.77kg
    • availability: Available
  • Table of Contents

    1. Introduction
    2. Prime number theory and the Riemann zeta-function
    3. Notes on pair correlation of zeros and prime numbers
    4. Notes on eigenvalue distributions for the classical compact groups
    5. Compound nucleus resonances, random matrices and quantum chaos
    6. Families of L-functions and 1-level densities
    7. Basic analytic number theory
    8. Applications of mean value theorems to the theory of the Riemann zeta function
    9. L-functions and the characteristic polynomials of random matrices
    10. Mock gaussian behaviour
    11. Some specimens of L-functions
    12. Computational methods and experiments in analytic number theory.

  • Editors

    F. Mezzadri, University of Bristol
    Francesco Mezzadri is a Lecturer in Applied Mathematics at the University of Bristol.

    N. C. Snaith, University of Bristol
    Nina Snaith is a Lecturer in Applied Mathematics at the University of Bristol.

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