An Introduction To Probabilistic Number Theory
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An Introduction to Probabilistic Number Theory
Author: Emmanuel Kowalski
language: en
Publisher: Cambridge University Press
Release Date: 2021-05-06
This introductory textbook for graduate students presents modern developments in probabilistic number theory, many for the first time.
Analytic Number Theory: An Introductory Course
Author: Paul Trevier Bateman
language: en
Publisher: World Scientific
Release Date: 2004-09-07
This valuable book focuses on a collection of powerful methods of analysis that yield deep number-theoretical estimates. Particular attention is given to counting functions of prime numbers and multiplicative arithmetic functions. Both real variable (”elementary”) and complex variable (”analytic”) methods are employed. The reader is assumed to have knowledge of elementary number theory (abstract algebra will also do) and real and complex analysis. Specialized analytic techniques, including transform and Tauberian methods, are developed as needed.Comments and corrigenda for the book are found at www.math.uiuc.edu/~diamond/.
Introduction to Probability
Author: Charles Miller Grinstead
language: en
Publisher: American Mathematical Soc.
Release Date: 2012-10-30
This text is designed for an introductory probability course at the university level for sophomores, juniors, and seniors in mathematics, physical and social sciences, engineering, and computer science. It presents a thorough treatment of ideas and techniques necessary for a firm understanding of the subject.