๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

An introduction to probabilistic number theory

โœ Scribed by Kowalski E.


Year
2021
Tongue
English
Leaves
201
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Table of Contents


Preface
Prerequisites and notation
Chapter 1. Introduction
1.1. Presentation
1.2. How does probability link with number theory really?
1.3. A prototype: integers in arithmetic progressions
1.4. Another prototype: the distribution of the Euler function
1.5. Generalizations
1.6. Outline of the book
Chapter 2. Classical probabilistic number theory
2.1. Introduction
2.2. Distribution of arithmetic functions
2.3. The Erdosโ€“Kac Theorem
2.4. Convergence without renormalization
2.5. Final remarks
Chapter 3. The distribution of values of the Riemann zeta function, I
3.1. Introduction
3.2. The theorems of Bohr-Jessen and of Bagchi
3.3. The support of Bagchi's measure
3.4. Generalizations
Chapter 4. The distribution of values of the Riemann zeta function, II
4.1. Introduction
4.2. Strategy of the proof of Selberg's theorem
4.3. Dirichlet polynomial approximation
4.4. Euler product approximation
4.5. Further topics
Chapter 5. The Chebychev bias
5.1. Introduction
5.2. The Rubinsteinโ€“Sarnak distribution
5.3. Existence of the Rubinsteinโ€“Sarnak distribution
5.4. The Generalized Simplicity Hypothesis
5.5. Further results
Chapter 6. The shape of exponential sums
6.1. Introduction
6.2. Proof of the distribution theorem
6.3. Applications
6.4. Generalizations
Chapter 7. Further topics
7.1. Equidistribution modulo 1
7.2. Roots of polynomial congruences and the Chinese Remainder Theorem
7.3. Gaps between primes
7.4. Cohen-Lenstra heuristics
7.5. Ratner theory
7.6. And even more...
Appendix A. Analysis
A.1. Summation by parts
A.2. The logarithm
A.3. Mellin transform
A.4. Dirichlet series
A.5. Density of certain sets of holomorphic functions
Appendix B. Probability
B.1. The Riesz representation theorem
B.2. Support of a measure
B.3. Convergence in law
B.4. Perturbation and convergence in law
B.5. Convergence in law in a finite-dimensional vector space
B.6. The Weyl criterion
B.7. Gaussian random variables
B.8. Subgaussian random variables
B.9. Poisson random variables
B.10. Random series
B.11. Some probability in Banach spaces
Appendix C. Number theory
C.1. Multiplicative functions and Euler products
C.2. Additive functions
C.3. Primes and their distribution
C.4. The Riemann zeta function
C.5. Dirichlet L-functions
C.6. Exponential sums
Bibliography
Index


๐Ÿ“œ SIMILAR VOLUMES


An Introduction to Probabilistic Number
โœ Emmanuel Kowalski ๐Ÿ“‚ Library ๐Ÿ“… 2021 ๐Ÿ› Cambridge University Press ๐ŸŒ English

Despite its seemingly deterministic nature, the study of whole numbers, especially prime numbers, has many interactions with probability theory, the theory of random processes and events. This surprising connection was first discovered around 1920, but in recent years the links have become much deep

Introduction to Analytic and Probabilist
โœ Gรฉrald Tenenbaum ๐Ÿ“‚ Library ๐Ÿ“… 1995 ๐Ÿ› Cambridge University Press ๐ŸŒ English

This book is a systematic introduction to analytic methods in number theory, and assumes as a prerequisite only what is taught in a standard undergraduate course. The author aids readers by including a section of bibliographic notes and detailed exercises at the end of each chapter. Tenenbaum has em