Statistical Mechanics for Athermal Fluctuation (eBook)
XVI, 222 Seiten
Springer Singapore (Verlag)
978-981-10-6332-9 (ISBN)
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.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.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 author 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.
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.
Introduction to Physics of Fluctuation.- Markovian Stochastic Processes.- Kinetic Theory for Dilute Gas.- Langevin Equation and its Microscopic Derivation.- Stochastic Calculus for the Single-Trajectory Analysis.- Stochastic Energetics for Langevin Dynamics.- Microscopic Derivation of Linear Non-Gaussian Langevin Equation.- Analytical Solution to Non-linear Non-Gaussian Langevin Equation.- Stochastic Energetics for Non-Gaussian Stochastic Dynamics.- Energy Transport between Athermal Systems.- Energy Pumping from Athermal Systems.- Conclusion.
| Erscheint lt. Verlag | 20.11.2017 |
|---|---|
| Reihe/Serie | Springer Theses | Springer Theses |
| Zusatzinfo | XVI, 222 p. 53 illus., 46 illus. in color. |
| Verlagsort | Singapore |
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Angewandte Mathematik |
| Mathematik / Informatik ► Mathematik ► Statistik | |
| Naturwissenschaften ► Physik / Astronomie ► Thermodynamik | |
| Schlagworte | Athermal fluctuation • Athermal systems • Fluctuating Thermal Systems • fluctuations of small systems • Langevin-like equation with non-Gaussian noise • Markovian stochastic processes • Statistical mechanics for non-equilibrium fluctuations • Stochastic Thermodynamics |
| ISBN-10 | 981-10-6332-X / 981106332X |
| ISBN-13 | 978-981-10-6332-9 / 9789811063329 |
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