This book introduces stochastic thermodynamics, including fluctuation theorems and the thermodynamic uncertainty relation with representative applications. It is essential reading for graduate students and researchers from physics and physical chemistry with an interest in non-equilibrium phenomena.
This book introduces stochastic thermodynamics, including fluctuation theorems and the thermodynamic uncertainty relation with representative applications. It is essential reading for graduate students and researchers from physics and physical chemistry with an interest in non-equilibrium phenomena.
Udo Seifert is Professor of Theoretical Physics at the University of Stuttgart and one of the pioneers of stochastic thermodynamics. He has published extensively in the areas of statistical physics, biological physics and complex systems, and has taught a graduate level course on stochastic thermodynamics at Stuttgart for several years.
Inhaltsangabe
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 Bibliography Index.
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 Bibliography Index.
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