An Introduction to Probabilistic Number Theory

‘an excellent resource for someone trying to enter the field of probabilistic number theory’ Bookshelf by Notices of the American Mathematical Society‘The book contains many exercises and three appendices presenting the material from analysis, probability and number theory that is used. Certainly the book is a good read for a mathematicians interested in the interaction between probability theory and number theory. The techniques used in the book appear quite advanced to us, so we would recommend the book for students at a graduate but not at an undergraduate level.’ Jörg Neunhäuserer, Mathematical Reviews‘The book is very well written - as expected by an author who has already contributed very widely used and important books - and certainly belongs to all libraries of universities and research institutes. It has all the attributes to make a classic textbook in this fascinating domain.’ Michael Th. Rassias, zbMATH

Emmanuel Kowalski is Professor in the Mathematics Department of the Swiss Federal Institute of Technology, Zurich. He is the author of five previous books, including the widely cited Analytic Number Theory (2004) with H. Iwaniec, which is considered to be the standard graduate textbook for analytic number theory.