An Introduction to Probabilistic Number Theory

An Introduction to Probabilistic Number Theory
Author: Emmanuel Kowalski
Publisher: Cambridge University Press
Total Pages: 271
Release: 2021-05-06
Genre: Mathematics
ISBN: 1108899560


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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.

Representation Theory of Geigle-Lenzing Complete Intersections

Representation Theory of Geigle-Lenzing Complete Intersections
Author: Martin Herschend
Publisher: American Mathematical Society
Total Pages: 156
Release: 2023-05-23
Genre: Mathematics
ISBN: 1470456311


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The Representation Theory of the Increasing Monoid

The Representation Theory of the Increasing Monoid
Author: Sema Güntürkün
Publisher: American Mathematical Society
Total Pages: 148
Release: 2023-06-22
Genre: Mathematics
ISBN: 1470465469


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Twistors, Quartics,and del Pezzo Fibrations

Twistors, Quartics,and del Pezzo Fibrations
Author: Nobuhiro Honda
Publisher: American Mathematical Society
Total Pages: 148
Release: 2023-05-23
Genre: Mathematics
ISBN: 1470464128


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A Proof that Artificial Neural Networks Overcome the Curse of Dimensionality in the Numerical Approximation of Black–Scholes Partial Differential Equations

A Proof that Artificial Neural Networks Overcome the Curse of Dimensionality in the Numerical Approximation of Black–Scholes Partial Differential Equations
Author: Philipp Grohs
Publisher: American Mathematical Society
Total Pages: 106
Release: 2023-04-07
Genre: Mathematics
ISBN: 147045632X


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