Fluctuation Theorems under Divergent Entropy Production and their Applications for Fundamental Problems in Statistical Physics (Springer Theses) 9789811686375, 9789811686382, 9811686378

This book presents the derivation of the fluctuation theorems with divergent entropy production and their application to

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Table of contents :
Supervisor’s Foreword
Acknowledgements
Contents
1 Introduction
1.1 Historical Introduction
1.2 Present Study
1.3 Outline of the Thesis
References
2 Review on Fluctuation Theorems
2.1 Discovery of Fluctuation Theorems
2.1.1 Asymptotic Steady-State Fluctuation Theorem
2.1.2 Finite-Time Transient Fluctuation Theorem
2.1.3 Later Studies
2.2 Fluctuation Theorems
2.2.1 Nonequilibrium Work Relations
2.2.2 Various Fluctuation Theorems
2.2.3 General Structures of the Fluctuation Theorems
2.3 Fluctuation Theorems under Nonuniform Temperature
References
3 Review on Fluctuation Theorems with Absolute Irreversibility
3.1 Apparent Breakdown of the Fluctuation Theorems
3.2 Absolute Irreversibility
3.2.1 Divergent Entropy Production in Free Expansion
3.2.2 Absolute Irreversibility as the Singularity of Measure
3.3 Fluctuation Theorems with Absolute Irreversibility
3.3.1 Derivation
3.3.2 Physical Implications
3.3.3 Examples
References
4 Fluctuation Theorems in Overdamped Theory with Multiple Reservoirs
4.1 Breakdown of Naive Overdamped Approximations with Multiple Reservoirs
4.1.1 Naive Overdamped Langevin Approach
4.1.2 Naive Fokker-Planck Approach
4.2 Underdamped Stochastic Thermodynamics
4.2.1 Underdamped Langevin Dynamics
4.2.2 First and Second Laws of Thermodynamics
4.2.3 Generating Function
4.2.4 Fluctuation Theorems
4.3 Consistency of the Overdamped Limit in the Isothermal Dynamics
4.3.1 Overdamped Theory Derived from the Generating Function
4.3.2 Time-Scale Separation and Singular Expansion
4.3.3 Consistency Relations
4.3.4 Overdamped Approximation
4.3.5 Overdamped Theory Derived from the Langevin Equation
4.4 Overdamped Theory with Multiple Reservoirs
4.4.1 Overdamped Approximation with Multiple Reservoirs
4.4.2 First and Second Laws of Thermodynamics
4.4.3 Fluctuation Theorems
References
5 Gibbs Paradox and the Fluctuation Theorems
5.1 Historical Discussions
5.1.1 Original Gibbs Paradox
5.1.2 Discussion in the Renowned Textbook by Gibbs
5.1.3 Later Discussions in View of Statistical Mechanics
5.2 Classification and Resolutions of the Gibbs Paradox
5.2.1 Consistency Within Thermodynamics (GP-I)
5.2.2 Consistency Within Statistical Mechanics (GP-II)
5.2.3 Consistency Between Thermodynamics and Statistical Mechanics (GP-III)
5.2.4 Does Quantum Mechanics Resolve the Issues?
5.3 Gibbs Paradox Revisited from the Fluctuation Theorem
5.3.1 Proof of the Main Claim
5.3.2 Discussions
References
6 Loschmidt Paradox and the Fluctuation Theorems
6.1 Historical Discussions
6.1.1 Boltzmann's Equation
6.1.2 Loschmidt Paradox
6.2 Resolution by Fractality
6.2.1 Fractality from Reversible Dynamics
6.2.2 Steady-State Fluctuation Theorem
6.3 Transient Fractality in a Chaotic Hamiltonian System
6.3.1 Rényi-0 Divergence and Fractal Dimension
6.3.2 Bunimovich Billard as a Paradigmatic Example
6.3.3 Time Reversal Test: Imperfect Loschmidt Demon
6.3.4 Transient Fractality
6.4 Reformulation in View of the Fluctuation Theorems
6.4.1 Imperfect Backward Process as the Reference Process
6.4.2 Fluctuation Theorem with Absolute Irreversibility
6.4.3 Lower Bound for Irreversibility
References
7 Summary and Outlook
7.1 Summary
7.2 Our Related Work
7.3 Outlook
References

Fluctuation Theorems under Divergent Entropy Production and their Applications for Fundamental Problems in Statistical Physics (Springer Theses)
 9789811686375, 9789811686382, 9811686378

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