Graduate studies in mathematics· 2015
Introduction to Analytic and Probabilistic Number Theory
- 1,226citations
- 2015year
Short summary
This book offers a comprehensive, self-contained introduction to analytic and probabilistic methods in number theory, suitable for students and researchers.
AI-generated from the title and abstract; the full text is not read.
Key points
- Self-contained introduction to analytic and probabilistic number theory methods.
- Prerequisites limited to undergraduate classical mathematics.
- Third edition expanded by over 50% with new developments.
- Includes bibliographic notes and exercises leading to research problems.
AI-generated from the title and abstract; the full text is not read.
Abstract
This book provides a self contained, thorough introduction to the analytic and probabilistic methods of number theory. The prerequisites being reduced to classical contents of undergraduate courses, it offers to students and young researchers a systematic and consistent account on the subject. It is also a convenient tool for professional mathematicians, who may use it for basic references concerning many fundamental topics. Deliberately placing the methods before the results, the book will be of use beyond the particular material addressed directly. Each chapter is complemented with bibliographic notes, useful for descriptions of alternative viewpoints, and detailed exercises, often leading to research problems. This third edition of a text that has become classical offers a renewed and considerably enhanced content, being expanded by more than 50 percent. Important new developments are included, along with original points of view on many essential branches of arithmetic and an accurate perspective on up-to-date bibliography. The author has made important contributions to number theory and his mastery of the material is reflected in the exposition, which is lucid, elegant, and accurate. -Mathematical Reviews.
The authors' abstract, as published at the source. Graduate studies in mathematics, 2015 · DOI ↗
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Field: Mathematical Physics
Mathematical PhysicsMathematics