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Stochastic Thermodynamics
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Title: Stochastic Thermodynamics Author: Seifert, Udo (Universitat Stuttgart) Publisher: Cambridge University Press ISBN: 9781316519554 Cover: HARDCOVER Date: 2025年06月 DESCRIPTION Stochastic thermodynamics has emerged as a comprehensive theoretical framework for a large class of non-equilibrium systems including molecular motors, biochemical reaction networks, colloidal particles in time-dependent laser traps, and bio-polymers under external forces. This book introduces the topic in a systematic way, beginning with a dynamical perspective on equilibrium statistical physics. Key concepts like the identification of work, heat and entropy production along individual stochastic trajectories are then developed and shown to obey various fluctuation relations beyond the well-established linear response regime. Representative applications are then discussed, including simple models of molecular motors, small chemical reaction networks, active particles, stochastic heat engines and information machines involving Maxwell demons. This book is ideal for graduate students and researchers of physics, biophysics, and physical chemistry, with an interest in non-equilibrium phenomena. Includes simple, representative applications, demonstrating how to apply theoretical concepts to real, physical systems Data from key experiments illustrates the interplay between theory and experimental work Covers advanced topics, including thermodynamically consistent coarse-graining, the path-integral representation of stochastic dynamics, underdamped systems, large deviation theory for extreme fluctuations, martingales, information geometry and the optimization of processes TABLE OF CONTENTS 1. From classical mechanics to statistical mechanics 2. Canonical distribution 3. Processes, first and second laws 4. Work distributions from Hamiltonian trajectories 5. Discrete states: Equilibrium, relaxation and time-dependent driving 6. Enzymes and enzymatic reactions 7. Thermodynamically consistent asymmetric random walk 8. Non-equilibrium steady states 9. Brownian motion 10. Driven colloidal particle 11. Correlation and linear response 12. Molecular motors 13. Chemical reaction networks 14. Active particles 15. Stochastic heat engines 16. Information processing 17. Coarse-graining 18. Langevin dynamics: Advanced topics 19. Large deviations 20. Optimization Appendix A. Some technical tools for Chapter 1 Appendix B. Hamiltonian dynamics and Liouville's theorem Appendix C. Isobaric description or 'pressure ensemble' Appendix D. Legendre transformations Appendix E. Gaussian random variables and random functions Appendix F. Supplement on the dynamics for systems with discrete states Appendix G. Supplement on interacting particles Appendix H. Local equilibrium and the identification of heat current 最近チェックした商品
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