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40.1 MB
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BAB917BFF02E6B765A4BD655D8BF847CAD27752D
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June 15, 2025, 5:47 p.m.
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(Last updated: June 15, 2025, 5:48 p.m.)
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| ['Seifert U. Stochastic Thermodynamics 2025.pdf'] | 0 bytes |
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40.1 MB
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2025-06-15
| Uploaded by andryold1 | Size 40.1 MB | Health [ 20 /31 ] | Added 2025-06-15 |
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SOURCE: Seifert U. Stochastic Thermodynamics 2025
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COVER
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MEDIAINFO
Textbook in PDF format 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. Preface page. Dependence of Chapters and Sections. Notation. From Classical Mechanics to Statistical Mechanics. Canonical Distribution. Processes, First and Second Laws. Work Distributions from Hamiltonian Trajectories. Discrete States: Equilibrium, Relaxation, and Time-Dependent Driving. Enzymes and Enzymatic Reactions. Thermodynamically Consistent Asymmetric Random Walk. Nonequilibrium Steady States. Brownian Motion. Driven Colloidal Particle. Correlations and Linear Response. Molecular Motors. Chemical Reaction Networks. Active Particles. Stochastic Heat Engines. Information Processing. Coarse-Graining. Langevin Dynamics: Advanced Topics. Large Deviations. 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. References. Index
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