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Statistical Mechanics for Athermal Fluctuation - Non-Gaussian Noise in Physics (Hardcover, 1st ed. 2017)
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Statistical Mechanics for Athermal Fluctuation - Non-Gaussian Noise in Physics (Hardcover, 1st ed. 2017)
Series: Springer Theses
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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.
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