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Stochastic thermodynamics / Udo Seifert.
- Format:
- Book
- Author/Creator:
- Seifert, Udo, author.
- Language:
- English
- Subjects (All):
- Thermodynamics.
- Nonequilibrium thermodynamics.
- Stochastic processes.
- Physical Description:
- 1 online resource (xviii, 475 pages) : digital, PDF file(s).
- Edition:
- 1st ed.
- Place of Publication:
- Cambridge : Cambridge University Press, 2025.
- Summary:
- 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.
- Contents:
- Cover
- Half-Title Page
- Title Page
- Imprints Page
- Contents
- Preface
- Dependence of Chapters and Sections
- Notation
- 1 From Classical Mechanics to Statistical Mechanics
- 1.1 Histograms from Trajectories: Mesoscopic and Macroscopic Observables
- 1.2 Foundations
- 1.3 Total Kinetic Energy and Structure Functions
- 1.4 Thermodynamic Limit
- 1.5 Pressure and Temperature and Their Microscopic Identification
- 1.6 Particle Exchange and Chemical Potential
- 1.7 Entropy: A First Encounter
- 1.8 Notes
- 2 Canonical Distribution
- 2.1 Setup with System and Bath
- 2.2 Two Simple Applications
- 2.3 Weak Coupling
- 2.4 Free Energy, Internal Energy, and Entropy
- 2.5 Pressure
- 2.6 Chemical Potential
- 2.7 Equivalence of "Ensembles" in the Thermodynamic Limit
- 2.8 Particle Exchange: Grand-Canonical Distribution
- 2.9 Strong Coupling Effects
- 2.10 Notes
- 3 Processes, First and Second Laws
- 3.1 Paradigmatic Scenarios
- 3.2 λ-Processes
- 3.3 First Law
- 3.4 Reversible Processes
- 3.5 Second Law in Classical Thermodynamics
- 3.6 Master Inequality for Regular Protocols
- 3.7 Second Laws for Work
- 3.8 Second Law for Heat Exchange
- 3.9 Second Laws Involving Entropy
- 3.10 Notes
- 4 Work Distributions from Hamiltonian Trajectories
- 4.1 Basic Concepts
- 4.2 Integral Fluctuation Relations
- 4.3 Jarzynski Relation
- 4.4 Bochkov-Kuzovlev Relation
- 4.5 Crooks Fluctuation Relation
- 4.6 Free-Energy Landscapes from Nonequilibrium Measurements
- 4.7 Notes
- 5 Discrete States: Equilibrium, Relaxation, and Time-Dependent Driving
- 5.1 Basic Concepts
- 5.2 Mesostates and Their Thermodynamic Potentials
- 5.3 Equilibrium Trajectories
- 5.4 Markovian Dynamics
- 5.5 Thermodynamics along a Trajectory in a Relaxation Process
- 5.6 Thermodynamics along a Trajectory for Time-Dependent Driving.
- 5.7 Nonequilibrium Thermodynamics: Ensemble Level
- 5.8 Entropy and Time's Arrow
- 5.9 Fluctuation Relations
- 5.10 Thermodynamics along Hamiltonian Trajectories Revisited: Entropy and the Second Law?
- 5.11 Notes
- 6 Enzymes and Enzymatic Reactions
- 6.1 Enzyme in Solution
- 6.2 A Toy Model
- 6.3 General Case
- 6.4 Notes
- 7 Thermodynamically Consistent Asymmetric Random Walk
- 7.1 ... as a Minimal Model for a Molecular Motor
- 7.2 ... Introduced as an Abstract Model
- 7.3 Fluctuations: Exact Results in Finite Time
- 7.4 Fluctuations: Concepts from Large Deviation Theory
- 7.5 Notes
- 8 Nonequilibrium Steady States
- 8.1 Basic Theory for General Rates
- 8.2 Thermodynamic Aspects: Soft Matter and Biosystems
- 8.3 Thermodynamic Aspects: Classical Transport throughQuantum Dots
- 8.4 Thermodynamic Uncertainty Relation
- 8.5 Macroscopic Affinities and Physical Currents
- 8.6 Unicyclic Systems and Engines
- 8.7 Multicyclic Systems
- 8.8 Linear Response to Macroscopic Affinities
- 8.9 Notes
- 9 Brownian Motion
- 9.1 Langevin Equation for the Momentum
- 9.2 Fluctuation-Dissipation Relation and Diffusion
- 9.3 Experimental Case Study: Brownian Particle in Air
- 9.4 Linear Generalized Langevin Equation
- 9.5 Systems with Time-Scale Separation
- 9.6 Hydrodynamic Effects
- 9.7 Notes
- 10 Driven Colloidal Particle
- 10.1 Langevin Dynamics and Fokker-Planck Equation
- 10.2 Time-Independent Force
- 10.3 Application of a NESS: Escape from a Metastable Well
- 10.4 Mean Local Velocity
- 10.5 Multiplicative Noise and Stratonovich Calculus: A First Encounter
- 10.6 Path Integral Representation
- 10.7 Thermodynamic Quantities
- 10.8 Detailed Fluctuation Theorems
- 10.9 Integral Fluctuation Relations
- 10.10 Notes
- 11 Correlations and Linear Response
- 11.1 Introductory Example: Harmonic Oscillator.
- 11.2 Correlation in Steady State: A Particle in One Dimension as Paradigm
- 11.3 Response Functions from Path Integral Formalism
- 11.4 Response Function from Perturbed Generator
- 11.5 Causality in Fourier Space
- 11.6 Harada-Sasa Relation
- 11.7 Notes
- 12 Molecular Motors
- 12.1 Ratchet Models
- 12.2 Discrete Motor Models
- 12.3 Motors with Probe or Cargo Particles
- 12.4 Notes
- 13 Chemical Reaction Networks
- 13.1 Univariate Reactions: Finite System
- 13.2 Univariate Reactions: Toward the Thermodynamic Limit
- 13.3 Fokker-Planck Approximations
- 13.4 Thermodynamic Quantities for an Individual Reaction Event
- 13.5 Oscillations: Brusselator as Paradigm
- 13.6 Multivariate Networks
- 13.7 Notes
- 14 Active Particles
- 14.1 One-Dimensional Toy Model
- 14.2 Simple Models in Two and Three Dimensions
- 14.3 Thermodynamically Consistent Minimal Model
- 14.4 Notes
- 15 Stochastic Heat Engines
- 15.1 Classical Heat Engines
- 15.2 Brownian Heat Engines
- 15.3 Steady-State Engines with Systems of Discrete States
- 15.4 Notes
- 16 Information Processing
- 16.1 Feedback-Driven Systems
- 16.2 Bipartite Systems
- 16.3 Information Reservoirs and Machines
- 16.4 Notes
- 17 Coarse-Graining
- 17.1 Coarse-Grained Data
- 17.2 Entropy Production from Stationary Time Series
- 17.3 Coarse-Graining a Markov Model
- 17.4 Notes
- 18 Langevin Dynamics: Advanced Topics
- 18.1 Space-Dependent Friction
- 18.2 Discretization Rules
- 18.3 Path Integral Representation
- 18.4 Multivariate Langevin Dynamics
- 18.5 Martingales
- 18.6 Underdamped Langevin Dynamics in One Dimension
- 18.7 High-Friction Limit and Inhomogeneous Temperature
- 18.8 Notes
- 19 Large Deviations
- 19.1 Key Notions
- 19.2 Discrete Systems: Spectral Approach
- 19.3 Discrete Systems: Rate Function from Path Weights
- 19.4 Langevin Dynamics: Spectral Approach.
- 19.5 Langevin Dynamics: Rate Function from Path Weights
- 19.6 Notes
- 20 Optimization
- 20.1 Introductory Example: Stiffening of a Harmonic Trap
- 20.2 Langevin Dynamics
- 20.3 Discrete States
- 20.4 Information Geometry
- 20.5 Speed Limits and Entropic Inequalities
- 20.6 Slow Processes
- 20.7 Notes
- Appendix A Some Technical Tools for Chapter 1
- A.1 Delta and Theta Functions
- A.2 Univariate Gaussian Distribution
- A.3 Approximative Gaussian Distributions, Laplace's Method of Integration, and Stirling's Formula
- A.4 Volume and Area of an n-Dimensional Sphere
- A.5 Kinetic Structure Function and Ideal Gas
- Appendix B Hamiltonian Dynamics and Liouville's Theorem
- Appendix C Isobaric Description or "Pressure Ensemble"
- C.1 A Reservoir at Constant Pressure
- C.2 ... with an Enzyme Added
- C.3 Transition and Reaction Rates
- C.4 Heat and Entropy Production
- C.5 Summarizing Recipe
- Appendix D Legendre Transformations
- Appendix E Gaussian Random Variables and Random Functions
- E.1 Multivariate Gaussian and Wick's Theorem
- E.2 Noncentered Gaussian Variables
- E.3 Gaussian Random Functions
- E.4 Standard Gaussian White Noise
- Appendix F Supplement on the Dynamics for Systems with Discrete States
- F.1 Spectrum of the Generator from Perron-Frobenius
- F.2 Correlation Functions
- F.3 Linear Response in Equilibrium and in NESSs
- F.4 Notes
- Appendix G Supplement on Interacting Particles
- G.1 Smoluchowski Equation for Passive Particles
- G.2 Pressure for Passive Particles
- G.3 Smoluchowski Equation and Pressure for Interacting Active Particles
- G.4 Notes
- Appendix H Local Equilibrium and the Identification of Heat Current
- References
- Index.
- Notes:
- Title from publisher's bibliographic system (viewed on 09 Jun 2025).
- ISBN:
- 1-009-02165-6
- 1-009-02435-3
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