Introduction to Analytic and Probabilistic Number Theory

Author:   Gerald Tenenbaum
Publisher:   Cambridge University Press
Volume:   46
ISBN:  

9780521576505


Publication Date:   01 January 1995
Replaced By:   9780521412612
Format:   Paperback
Availability:   In stock   Availability explained
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Introduction to Analytic and Probabilistic Number Theory


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Overview

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 Moreover, he has been able to cover developments on many new or unpublished topics such as: the Selberg-Delange method; a version of the Ikehara-Ingham Tauberian theorem; and a detailed exposition of the arithmetical use of the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.

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Author:   Gerald Tenenbaum
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
Volume:   46
ISBN:  

9780521576505


ISBN 10:   0521576504
Publication Date:   01 January 1995
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Replaced By:   9780521412612
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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'This is an excellent source for a poostgraduate course in analytic number theory ... many of the proofs are recent descoveries and reflect modern trends, and the more advanced topics are based on the author's own (very successful) research.' Mathematika


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