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The Resource An introduction to probabilistic number theory, Emmanuel Kowalski, Swiss Federal Institute of Technology, Zurich

An introduction to probabilistic number theory, Emmanuel Kowalski, Swiss Federal Institute of Technology, Zurich

Label
An introduction to probabilistic number theory
Title
An introduction to probabilistic number theory
Statement of responsibility
Emmanuel Kowalski, Swiss Federal Institute of Technology, Zurich
Creator
Author
Subject
Language
eng
Summary
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 deeper and better understood. Aimed at beginning graduate students, this textbook is the first to explain some of the most modern parts of the story. Such topics include the Chebychev bias, universality of the Riemann zeta function, exponential sums and the bewitching shapes known as Kloosterman paths. Emphasis is given throughout to probabilistic ideas in the arguments, not just the final statements, and the focus is on key examples over technicalities. The book develops probabilistic number theory from scratch, with short appendices summarizing the most important background results from number theory, analysis and probability, making it a readable and incisive introduction to this beautiful area of mathematics
Member of
Cataloging source
UkCbUP
http://library.link/vocab/creatorDate
1969-
http://library.link/vocab/creatorName
Kowalski, Emmanuel
Dewey number
512.7/6
Index
index present
LC call number
QA241.7
LC item number
.K69 2021
Literary form
non fiction
Nature of contents
dictionaries
Series statement
Cambridge studies in advanced mathematics
Series volume
192
http://library.link/vocab/subjectName
Probabilistic number theory
Label
An introduction to probabilistic number theory, Emmanuel Kowalski, Swiss Federal Institute of Technology, Zurich
Instantiates
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
CR9781108888226
Extent
1 online resource (xiv, 255 pages)
Form of item
online
Isbn
9781108888226
Isbn Type
(ebook)
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
digital, PDF file(s).
Specific material designation
remote
Label
An introduction to probabilistic number theory, Emmanuel Kowalski, Swiss Federal Institute of Technology, Zurich
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
CR9781108888226
Extent
1 online resource (xiv, 255 pages)
Form of item
online
Isbn
9781108888226
Isbn Type
(ebook)
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
digital, PDF file(s).
Specific material designation
remote

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