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The Large Sieve and its Applications
Arithmetic Geometry, Random Walks and Discrete Groups


Part of Cambridge Tracts in Mathematics

  • Author: E. Kowalski, Swiss Federal University (ETH), Zürich
  • Date Published: May 2008
  • availability: Available
  • format: Hardback
  • isbn: 9780521888516

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About the Authors
  • Among the modern methods used to study prime numbers, the 'sieve' has been one of the most efficient. Originally conceived by Linnik in 1941, the 'large sieve' has developed extensively since the 1960s, with a recent realisation that the underlying principles were capable of applications going well beyond prime number theory. This book develops a general form of sieve inequality, and describes its varied applications, including the study of families of zeta functions of algebraic curves over finite fields; arithmetic properties of characteristic polynomials of random unimodular matrices; homological properties of random 3-manifolds; and the average number of primes dividing the denominators of rational points on elliptic curves. Also covered in detail are the tools of harmonic analysis used to implement the forms of the large sieve inequality, including the Riemann Hypothesis over finite fields, and Property (T) or Property (tau) for discrete groups.

    • Explores new and surprising applications of the large sieve method, an important technique of analytic number theory
    • Presents applications in fields as wide ranging as topology, probability, arithmetic geometry and discrete group theory
    • Motivated, clear and self-contained discussions introduce readers to a technique previously confined to one field
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    Product details

    • Date Published: May 2008
    • format: Hardback
    • isbn: 9780521888516
    • length: 316 pages
    • dimensions: 234 x 159 x 23 mm
    • weight: 0.63kg
    • contains: 10 b/w illus. 9 tables 14 exercises
    • availability: Available
  • Table of Contents

    Prerequisites and notation
    1. Introduction
    2. The principle of the large sieve
    3. Group and conjugacy sieves
    4. Elementary and classical examples
    5. Degrees of representations of finite groups
    6. Probabilistic sieves
    7. Sieving in discrete groups
    8. Sieving for Frobenius over finite fields
    Appendix A. Small sieves
    Appendix B. Local density computations over finite fields
    Appendix C. Representation theory
    Appendix D. Property (T) and Property (τ)
    Appendix E. Linear algebraic groups
    Appendix F. Probability theory and random walks
    Appendix G. Sums of multiplicative functions
    Appendix H. Topology

  • Author

    E. Kowalski, Swiss Federal University (ETH), Zürich
    Emmanuel Kowalski is Professor in the Departement Mathematik at ETH Zürich.

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