Detailed Fluctuation Theorems: A Unifying Perspective

The Energetics of Computing in Life & Machines pp 405-453
DOI: 10.37911/9781947864078.15

15. Detailed Fluctuation Theorems: A Unifying Perspective

Authors: Riccardo Rao, University of Luxembourg, and Massimiliano Esposito, University of Luxembourg

 

Excerpt

Introduction

The discovery of different fluctuation theorems (FTs) over the last two decades constitutes major progress in nonequilibrium physics (Harris and Schütz 2007; Esposito, Harbola, and Mukamel 2009; Jarzynski 2011; Campisi, Hänggi, and Talkner 2011; Seifert 2012; Van den Broeck and Esposito 2015). These relations are exact constraints that some fluctuating quantities satisfy arbitrarily far from equilibrium. They have been verified experimentally in many different contexts, ranging from biophysics to electronic circuits (Ciliberto 2017). However, they come in different forms—detailed fluctuation theorems (DFTs) or integral fluctuation theorems (IFTs)—and concern various types of quantities. Understanding how they are related and to what extent they involve mathematical quantities or interesting physical observables can be challenging.

The plan of the chapter is as follows. Time-inhomogeneous Markov jump processes are introduced in the following section. Our main results are presented in the third section: we first introduce the EP as a quantifier of detailed balance breaking, and we then show that, by choosing a reference PMF, EP splitting ensues. This enables us to identify the fluctuating quantities satisfying a DFT and an IFT when the system is initially prepared in the reference PMF. Whereas IFTs hold for arbitrary reference PMFs, DFTs require reference PMFs to be determined solely by the driving protocol encoding the time dependence of the rates. The EP decomposition is also shown to lead to a generalized Landauer principle. The remaining sections are devoted to specific reference PMFs and show that they give rise to interesting mathematics or physics: first, the steady-state PMF of the Markov jump process is chosen, giving rise to the adiabatic–nonadiabatic split of the EP (Esposito, Harbola, and Mukamel 2007); then, the equilibrium PMF of a spanning tree of the graph defined by the Markov jump process is chosen and gives rise to a cycle–cocycle decomposition of the EP (Polettini 2014). Physics is introduced next, and the properties that the Markov jump process must satisfy to describe the thermodynamics of an open system are described. In the next section, the microcanonical distribution is chosen as the reference PMF leading to the splitting of the EP into system and reservoir entropy change. Finally, the generalized Gibbs equilibrium PMF is chosen as a reference and leads to a conservative–nonconservative splitting of the EP (Rao and Esposito 2018b). Conclusions are drawn in the final section, and some technical proofs are discussed in appendices.

Bibliography

Andrieux, D., and P. Gaspard. 2007. “Fluctuation Theorem for Currents and Schnakenberg Network Theory.” Journal of Statistical Physics 127 (1): 107– 131.

Baiesi, M., and G. Falasco. 2015. “Inflow Rate, a Time-Symmetric Observable Obeying Fluctuation Relations.” Physical Review E 92 (4): 042162.

Bulnes Cuetara, G., M. Esposito, and A. Imparato. 2014. “Exact Fluctuation Theorem without Ensemble Quantities.” Physical Review E 89 (May): 052119.

Callen, H. B. 1985. Thermodynamics and an Introduction to Thermostatistics. Hoboken, NJ: John Wiley.

Campisi, M., P. Hänggi, and P. Talkner. 2011. “Colloquium: Quantum Fluctuation Relations————Foundations and Applications.” Reviews of Modern Physics 83, no. 3 (July): 771–791. 

Chetrite, R., and S. Gupta. 2011. “Two Refreshing Views of Fluctuation Theorems through Kinematics Elements and Exponential Martingale.” Journal of Statistical Physics 143, no. 3 (April): 543.

Ciliberto, S. 2017. “Experiments in Stochastic Thermodynamics: Short History and Perspectives.” Physical Review X 7 (2): 021051.

Crooks, G. E. 1998. “Nonequilibrium Measurements of Free Energy Differences for Microscopically Reversible Markovian Systems.” Journal of Statistical Physics 90 (5/6): 1481–1487.

————. 1999. “Entropy Production Fluctuation Theorem and the Nonequilibrium Work Relation for Free Energy Differences.” Physical Review E 60, no. 3 (September): 2721–2726.

 ————. 2000. “Path-Ensemble Averages in Systems Driven Far from Equilibrium.” Physical Review E 61, no. 3 (March): 2361–2366.

Esposito, M. 2012. “Stochastic Thermodynamics under Coarse Graining.” Physical Review E 85 (April): 041125. 

Esposito, M., U. Harbola, and S. Mukamel. 2007. “Entropy Fluctuation Theorems in Driven Open Systems: Application to Electron Counting Statistics.” Physical Review E 76 (September): 031132.

————. 2009. “Nonequilibrium Fluctuations, Fluctuation Theorems, and Counting Statistics in Quantum Systems.” Reviews of Modern Physics 81 (December): 1665–1702.

Esposito, M., and C. Van den Broeck. 2010a. “Three Detailed Fluctuation Theorems.” Physical Review Letters 104 (March): 090601.

————. 2010b. “Three Faces of the Second Law. I. Master Equation Formulation.” Physical Review E 82 (July): 011143. 

García-García, R., D. Domínguez, V. Lecomte, and A. B. Kolton. 2010. “Unifying Approach for Fluctuation Theorems from Joint Probability Distributions.” Physical Review E 82 (September): 030104.

García-García, R., V. Lecomte, A. B. Kolton, and D. Domínguez. 2012. “Joint Probability Distributions and Fluctuation Theorems.” Journal of Statistical Mechanics: Theory and Experiment 2012 (02): P02009.

Garrahan, J. P. 2016. “Classical Stochastic Dynamics and Continuous Matrix Product States: Gauge Transformations, Conditioned and Driven Processes, and Equivalence of Trajectory Ensembles.” Journal of Statistical Mechanics: Theory and Experiment 2016 (7): 073208. 

Ge, H., and H. Qian. 2010. “Physical Origins of Entropy Production, Free Energy Dissipation, and Their Mathematical Representations.” Physical Review E 81, no. 5 (May): 051133.

Harris, R. J., and G. M. Schütz. 2007. “Fluctuation Theorems for Stochastic Dynamics.” Journal of Statistical Mechanics: Theory and Experiment, no. 07 (July): P07020. 

Hatano, T., and S. Sasa. 2001. “Steady-State Thermodynamics of Langevin Systems.” Physical Review Letters 86 (April): 3463–3466.

Jarzynski, C. 1997. “Equilibrium Free-Energy Differences from Nonequilibrium Measurements: A Master-Equation Approach.” Physical Review E 56 (November): 5018–5035.

————. 2011. “Equalities and Inequalities: Irreversibility and the Second Law of Thermodynamics at the Nanoscale.” Annual Review of Condensed Matter Physics 2, no. 1 (March): 329–351.

Kelly, F. P. 1979. Reversibility and Stochastic Networks. Hoboken, NJ: John Wiley.

Knauer, U. 2011. Algebraic Graph Theory: Morphisms, Monoids and Matrices. Vol. 41. Berlin: Walter de Gruyter.

Kolmogoroff, A. 1936. “Zur Theorie der Markoffschen Ketten.” Mathematische Annalen 112, no. 1 (December): 155–160. https://doi.org/10.1007/bf01565412.

Peliti, L. 2011. Statistical Mechanics in a Nutshell. Princeton, NJ: Princeton University Press.

Pérez-Espigares, C., A. B. Kolton, and J. Kurchan. 2012. “Infinite Family of Second-Law-Like Inequalities.” Physical Review E 85 (3): 031135.

Polettini, M. 2012. “Nonequilibrium Thermodynamics as a Gauge Theory.” Europhysics Letters 97, no. 3 (March): 30003. 

————. 2014. “Cycle/Cocycle Oblique Projections on Oriented Graphs.” Letters in Mathematical Physics 105, no. 1 (November): 89–107.

Polettini, M., G. Bulnes Cuetara, and M. Esposito. 2016. “Conservation Laws and Symmetries in Stochastic Thermodynamics.” Physical Review E 94 (5): 052117.

Polettini, M., and M. Esposito. 2014. “Transient Fluctuation Theorems for the Currents and Initial Equilibrium Ensembles.” Journal of Statistical Mechanics: Theory and Experiment 2014, no. 10 (October): P10033.

————. 2017. “Effective Thermodynamics for a Marginal Observer.” Physical Review Letters 119 (December): 240601.

————. 2018. “Effective Fluctuation and Response Theory.” arXiv1803.03552v1 (March 9).

Rao, R., and M. Esposito. 2018a. “Conservation Laws and Work Fluctuation Relations in Chemical Reaction Networks.” arXiv1805.12077v1.

————. 2018b. “Conservation Laws Shape Dissipation.” New Journal of Physics 20 (2): 023007.

Sánchez, R., and M. Büttiker. 2012. “Detection of Single-Electron Heat Transfer Statistics.” Europhysics Letters 100 (4): 47008.

Schmiedl, T., and U. Seifert. 2007. “Stochastic Thermodynamics of Chemical Reaction Networks.” Journal of Chemical Physics 126 (4): 044101.

Schnakenberg, J. 1976. “Network Theory of Microscopic and Macroscopic Behavior of Master Equation Systems.” Reviews of Modern Physics 48 (October): 571–585.

Seifert, U. 2005. “Entropy Production along a Stochastic Trajectory and an Integral Fluctuation Theorem.” Physical Review Letters 95 (July): 040602. 

­————. 2012. “Stochastic Thermodynamics, Fluctuation Theorems and Molecular Machines.” Reports on Progress in Physics 75, no. 12, 126001 (November): 126001.

Speck, T., and U. Seifert. 2005. “Integral Fluctuation Theorem for the Housekeeping Heat.” Journal of Physics A: Mathematical and General 38 (34): L581.

Strasberg, P., G. Schaller, T. Brandes, and M. Esposito. 2013. “Thermodynamics of a Physical Model Implementing a Maxwell Demon.” Physical Review Letters 110, no. 4 (January): 040601. 

Thierschmann, H., R. Sánchez, B. Sothmann, F. Arnold, C. Heyn, W. Hansen, H. Buhmann, and L. W. Molenkamp. 2015. “Three-Terminal Energy Harvester with Coupled Quantum Dots.” Nature Nanotechnology 10, no. 10 (August): 854–858.

Vaikuntanathan, S., and C. Jarzynski. 2009. “Dissipation and Lag in Irreversible Processes.” Europhysics Letters 87, no. 6 (September): 60005. 

Van den Broeck, C., and M. Esposito. 2015. “Ensemble and Trajectory Thermodynamics: A Brief Introduction.” Physica A 418 (January): 6–16.

Verley, G., R. Chétrite, and D. Lacoste. 2012. “Inequalities Generalizing the Second Law of Thermodynamics for Transitions between Nonstationary States.” Physical Review Letters 108, no. 12 (March): 120601.

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