חזרה לתוצאות החיפוש

A higher-dimensional sieve method

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  • ספר

Nearly a hundred years have passed since Viggo Brun invented his famous sieve, and the use of sieve methods is constantly evolving. As probability and combinatorics have penetrated the fabric of mathematical activity, sieve methods have become more versatile and sophisticated and in recent years have played a part in some of the most spectacular mathematical discoveries. Many arithmetical investigations encounter a combinatorial problem that requires a sieving argument, and this tract offers a modern and reliable guide in such situations. The theory of higher dimensional sieves is thoroughly explored, and examples are provided throughout. A Mathematica® software package for sieve-theoretical calculations is provided on the authors' website. To further benefit readers, the Appendix describes methods for computing sieve functions. These methods are generally applicable to the computation of other functions used in analytic number theory. The appendix also illustrates features of Mathematica® which aid in the computation of such functions.

כותר A higher-dimensional sieve method : with procedures for computing sieve functions / Harold G. Diamond, H. Halberstam, William F. Galway. [electronic resource]
מוציא לאור Cambridge : Cambridge University Press
שנה 2008
הערות Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Includes bibliographical references (p. 259-263) and index.
English
הערת תוכן ותקציר Cover
Title
Copyright
Dedication
Contents
List of Illustrations
List of Tables
Preface
Notation
Standard terminology
Sieve notation
Part I Sieves
1 Introduction
2 Selberg's sieve method
3 Combinatorial foundations
4 The Fundamental Lemma
5 Selberg's sieve method (continued)
6 Combinatorial foundations (continued)
7 The case Kappa = 1: the linear sieve
8 An application of the linear sieve
9 A sieve method for Kappa > 1
10 Some applications of Theorem 9.1
11 A weighted sieve method
Part II Proof of the Main Analytic Theorem
12 Dramatis personae and preliminaries
13 Strategy and a necessary condition14 Estimates of SigmaKappa(u) = jKappa(u/2)
15 The pKappa and qKappa functions
16 The zeros of...
17 The parameters AlphaKappa and BetaKappa
18 Properties of FKappa and fKappa
Appendix 1 Procedures for computing sieve functions
A1.1 DDEs and the Iwaniec inner product
A1.2 The upper and lower bound sieve functions
A1.3 Using the Iwaniec inner product
A1.4 Some features of Mathematica
A1.5 Computing FKappa(u) and fKappa(u)
A1.6 The function Ein(z)
A1.7 Computing the adjoint functions
A1.8 Computing jKappa(u)
A1.9 Computing AlphaKappa and BetaKappaA1.10 Weighted-sieve computations
Bibliography
Index
סדרה Cambridge tracts in mathematics
177
היקף החומר 1 online resource (xxi, 266 pages) : digital, PDF file(s).
שפה אנגלית
מספר מערכת 997010715427605171
תצוגת MARC

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