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Stochastic thermodynamics / Udo Seifert.

Cambridge eBooks: Frontlist 2025 Available online

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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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