Introduction to analytic and probabilistic number theory
著者
書誌事項
Introduction to analytic and probabilistic number theory
（Cambridge studies in advanced mathematics, 46）
Cambridge University Press, 1995
- : hardback
- タイトル別名
-
Introduction à la theórie analytique et probabiliste des nombres
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注記
"Transferred to digital printing 2004"--T.p. verso of 2004 printing
Includes bibliography (p. [424]-442) and index
"This book is a revised, updated, and sightly expanded version of the text which appeared (in French) as issue number 13 of the series Publication de l'Institut Élie Cartan in the autumn of 1990"--Pref
内容説明・目次
内容説明
This is a self-contained introduction to analytic methods in number theory, assuming on the part of the reader only what is typically learned in a standard undergraduate degree course. It offers to students and those beginning research a systematic and consistent account of the subject but will also be a convenient resource and reference for more experienced mathematicians. These aspects are aided by the inclusion at the end of each chapter of a section of bibliographic notes and detailed exercises. Professor Tenenbaum has emphasised methods rather than results, with the consequence that readers should be able to tackle more advanced material than is included here. Moreover, he has been able to cover developments on many new or unpublished topics such as: the Selberg-Delange method; a version of the Ikehara-Ingham Tauberian theorem; and a detailed exposition of the arithmetical use of the saddle-point method.
目次
- Foreword
- Notation
- Part I. Elementary Methods: Some tools from real analysis
- 1. Prime numbers
- 2. Arithmetic functions
- 3. Average orders
- 4. Sieve methods
- 5. Extremal orders
- 6. The method of van der Corput
- Part II. Methods of Complex Analysis: 1. Generating functions: Dirichlet series
- 2. Summation formulae
- 3. The Riemann zeta function
- 4. The Prime Number Theorem and the Riemann Hypothesis
- 5. The Selberg-Delange method
- 6. Two arithmetic applications
- 7. Tauberian theorems
- 8. Prime numbers in arithmetic progressions
- Part III. Probabilistic Methods: 1. Densities
- 2. Limiting distribution of arithmetic functions
- 3. Normal order
- 4. Distribution of additive functions and mean values of multiplicative functions
- 5. Integers free of large prime factors. The saddle-point method
- 6. Integers free of small prime factors
- Bibliography
- Index.
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