Authors:
- Explains elliptic extensions using the Brownian motion and determinantal point processes
- Uses only one kind of special function, called the theta function, and visualizes elliptic extensions using graphs
- Shows open problems for readers who want to use elliptic functions in probability theory and statistical mechanics
Part of the book series: SpringerBriefs in Mathematical Physics (BRIEFSMAPHY, volume 47)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Department of Physics, Chuo University, Tokyo, Japan
Makoto Katori
Bibliographic Information
Book Title: Elliptic Extensions in Statistical and Stochastic Systems
Authors: Makoto Katori
Series Title: SpringerBriefs in Mathematical Physics
DOI: https://doi.org/10.1007/978-981-19-9527-9
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
Softcover ISBN: 978-981-19-9526-2Published: 07 April 2023
eBook ISBN: 978-981-19-9527-9Published: 06 April 2023
Series ISSN: 2197-1757
Series E-ISSN: 2197-1765
Edition Number: 1
Number of Pages: XIV, 125
Number of Illustrations: 3 b/w illustrations, 15 illustrations in colour
Topics: Mathematical Physics, Probability Theory and Stochastic Processes, Theoretical, Mathematical and Computational Physics, Quantum Physics