Fluctuation Theorems under Divergent Entropy Production and their Applications for Fundamental Problems in Statistical Physics

This book presents the derivation of the fluctuation theorems with divergent entropy production and their application to fundamental problems in statistical physics. It explores the two basic aspects of the fluctuation theorems: i) Applicability in extreme situations with divergent entropy production, concluding that the fluctuation theorems remain valid under the notion of absolute irreversibility, and ii) utility in the investigation of classical enigmas in the framework of statistical physics, i.e., Gibbs and Loschmidt paradoxes.

The book offers readers an overview of the research in fundamental statistical physics. Firstly it briefly but skillfully reviews the modern development of fluctuation theorems to found the key theme of the book. Secondly it concisely discusses historical issues of statistical physics in chronological order, along with the key literature in the field. They help readers easily follow the key developments in the fundamental research of statisticalphysics.

Nominated as an outstanding Ph.D. thesis by the Department of Physics at the University of Tokyo Concisely reviews historical subjects on the basis of the originals Provides clear physical interpretations of mathematical concepts

Autorentext

Dr. Yuto Murashita completed his PhD in March 2018 at the University of Tokyo under the supervision of Prof. Masahito Ueda., where he worked on statistical physics from a theoretical point of view. During his PhD study, he annually visited the group of Prof. Massimiliano Esposito at the University of Luxembourg as a long-term visitor. He had served as a member of the dispatch cometee of Japan Physics Olympiad for four years.

Inhalt
Introduction.- Review on Fluctuation Theorems.- Review on Fluctuation Theorems with Absolute Irreversibility.- Fluctuation Theorems in Overdamped Theory with Multiple Reservoirs.- Gibbs Paradox and the Fluctuation Theorems.- Loschmidt Paradox and the Fluctuation Theorems.- Summary and Outlook. <p