Overview
- Nominated as an outstanding PhD thesis by Kyoto University’s Physics Department in 2015
- Shows a stochastic theory to quantitatively describe non-Gaussian athermal fluctuation from microscopic dynamics as a concise and self-contained form
- Presents the theory based on a systematic expansion for the master equation
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (12 chapters)
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Front Matter
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Review on Stochastic Theory for Fluctuating Thermal Systems
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Front Matter
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Statistical Mechanics for Fluctuating Athermal Systems
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Front Matter
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Back Matter
Keywords
About this book
The author investigates athermal fluctuation from the viewpoints of statistical mechanics in this thesis. Stochastic methods are theoretically very powerful in describing fluctuation of thermodynamic quantities in small systems on the level of a single trajectory and have been recently developed on the basis of stochastic thermodynamics. This thesis proposes, for the first time, a systematic framework to describe athermal fluctuation, developing stochastic thermodynamics for non-Gaussian processes, while thermal fluctuations are mainly addressed from the viewpoint of Gaussian stochastic processes in most of the conventional studies.
First, the book provides an elementary introduction to the stochastic processes and stochastic thermodynamics. The author derives a Langevin-like equation with non-Gaussian noise as a minimal stochastic model for athermal systems, and its analytical solution by developing systematic expansions is shown as the main result. Furthermore, the a
uthor shows a thermodynamic framework for such non-Gaussian fluctuations, and studies some thermodynamics phenomena, i.e. heat conduction and energy pumping, which shows distinct characteristics from conventional thermodynamics. The theory introduced in the book would be a systematic foundation to describe dynamics of athermal fluctuation quantitatively and to analyze their thermodynamic properties on the basis of stochastic methods.Authors and Affiliations
About the author
Kiyoshi Kanazawa has been an assistant professor at Tokyo Institute of Technology since April 2016. He received his bachelor’s degree in physics from the University of Tokyo in March 2010 and completed his master’s degree at the Yukawa Institute for Theoretical Physics at Kyoto University in April 2012. He received his doctorate from Kyoto University in March 2015 for his study on statistical mechanics and stochastic thermodynamics for athermal fluctuation from the viewpoint of non-Gaussian stochastic processes. He is currently investigating the microstructure of various non-physical systems, such as financial-market and biological fluctuation, using data analyses and theory. He is focusing his considerable efforts on developing kinetic theory for non-physical, many-body systems in order to understand various macroscopic phenomena in microscopic dynamics. He received the “Young Scientist Award of the Physical Society of Japan” from the Physical Society of Japan in March
2016.Bibliographic Information
Book Title: Statistical Mechanics for Athermal Fluctuation
Book Subtitle: Non-Gaussian Noise in Physics
Authors: Kiyoshi Kanazawa
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-981-10-6332-9
Publisher: Springer Singapore
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2017
Hardcover ISBN: 978-981-10-6330-5Published: 28 November 2017
Softcover ISBN: 978-981-13-4857-0Published: 11 December 2018
eBook ISBN: 978-981-10-6332-9Published: 20 November 2017
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XVI, 222
Number of Illustrations: 7 b/w illustrations, 46 illustrations in colour
Topics: Thermodynamics, Complex Systems, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Mathematical Applications in the Physical Sciences, Statistical Physics and Dynamical Systems