Stochastic Thermodynamics

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.

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.