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Variational formulation of stochastic thermodynamics: Spatially extended systems
Phys. Rev. E 114, 044125 – Published 15 October, 2026
DOI: https://doi.org/10.1103/dd9y-9jc4
Abstract
Stochastic field theories are often constructed phenomenologically, without a systematic assessment of thermodynamic consistency or local detailed balance. This may hinder a physical description of irreversibility at the field-theoretic level beyond the standard statistical formulation of stochastic thermodynamics. Here, we develop a variational formulation for thermodynamically consistent stochastic field theories by extending Hamilton's principle of classical field theory. Introducing the second law as an axiom yields a consistent local thermodynamic structure in which novel fluctuation-dissipation relations emerge naturally, ensuring local detailed balance. Remarkably, the resulting entropy production takes the same form as in standard stochastic thermodynamics, up to a reformulation in an extended phase space incorporating both configurational and thermal variables. This correspondence extends key results, including individual trajectory-level thermodynamics and fluctuation theorems. The construction is formulated within a unified geometric framework based on a generalized Lagrange-d'Alembert principle, providing a top-down connection between phenomenological modeling and thermodynamic consistency. Potential applications include thermodynamically consistent modeling of complex fluids, Lagrangian reduction by symmetry in continuum systems, and structure-preserving numerical schemes for stochastic partial differential equations.
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References (121)
- L. D. Landau and E. M. Lifshitz, Mechanics, Course of Theoretical Physics (Elsevier, Amsterdam, 1976), Vol. 1.
- L. D. Landau and E. M. Lifshitz, The Classical Theory of Fields, 4th ed., Course of Theoretical Physics (Pergamon, New York, 1975), Vol. 2.
- C. Lanczos, The Variational Principles of Mechanics, Dover Books On Physics (Dover, New York, 1986).
- R. P. Feynman and A. R. Hibbs, Quantum Mechanics and Path Integrals, International Series in Pure and Applied Physics (McGraw-Hill, New York, 1965).
- S. Weinberg, The Quantum Theory of Fields (Cambridge University, New York, 1995).
- J. Marsden and T. J. R. Hughes, Mathematical Foundations of Elasticity (Dover, New York, 1983).
- J. Jost, Geometry and Physics (Springer-Verlag, Berlin, 2009).
- R. Abraham and J. E. Marsden, Foundations of Mechanics, 2nd ed. (Addison-Wesley, Reading, MA, 1987).
- V. I. Arnold, Mathematical Methods of Classical Mechanics (Springer, New York, 1978).
- H. Goldstein, C. Poole, and J. Safko, Classical Mechanics (Addison-Wesley, Reading, MA, 2002).
- J. L. Synge and B. A. Griffith, Principles of Mechanics, 3rd ed. (McGraw-Hill, New York, 1959).
- F. Gay-Balmaz and H. Yoshimura, From Lagrangian mechanics to nonequilibrium thermodynamics: A variational perspective, Entropy 21, 8 (2019).
- U. Seifert, Stochastic thermodynamics, fluctuation theorems and molecular machines, Rep. Prog. Phys. 75, 126001 (2012).
- C. Van den Broeck and M. Esposito, Ensemble and trajectory thermodynamics: A brief introduction, Physica A 418, 6 (2015).
- U. Seifert, Entropy production along a stochastic trajectory and an integral fluctuation theorem, Phys. Rev. Lett. 95, 040602 (2005).
- K. Sekimoto, Stochastic Energetics (Springer-Verlag, Berlin, 2010).
- J. M. Horowitz and H. Sandberg, Second-law-like inequalities with information and their interpretations, New J. Phys. 16, 125007 (2014).
- J. M. Horowitz and M. Esposito, Thermodynamics with continuous information flow, Phys. Rev. X 4, 031015 (2014).
- G. M. Wang, E. M. Sevick, E. Mittag, D. J. Searles, and D. J. Evans, Experimental demonstration of violations of the second law of thermodynamics for small systems and short time scales, Phys. Rev. Lett. 89, 050601 (2002).
- V. Blickle, T. Speck, L. Helden, U. Seifert, and C. Bechinger, Thermodynamics of a colloidal particle in a time-dependent nonharmonic potential, Phys. Rev. Lett. 96, 070603 (2006).
- K. Hayashi, H. Ueno, R. Iino, and H. Noji, Fluctuation theorem applied to -ATPase, Phys. Rev. Lett. 104, 218103 (2010).
- L.-L. Yan, J.-T. Bu, Q. Zeng, K. Zhang, K.-F. Cui, F. Zhou, S.-L. Su, L. Chen, J. Wang, G. Chen, and M. Feng, Experimental verification of demon-involved fluctuation theorems, Phys. Rev. Lett. 133, 090402 (2024).
- R. Zwanzig, Nonequilibrium Statistical Mechanics (Oxford University, New York, 2001).
- H. Grabert, Projection Operator Techniques in Nonequilibrium Statistical Mechanics (Springer-Verlag, Berlin, 1982).
- L. Peliti and S. Pigolotti, Stochastic Thermodynamics: An Introduction (Princeton University, Princeton, NJ, 2021).
- T. Markovich, E. Fodor, E. Tjhung, and M. E. Cates, Thermodynamics of active field theories: Energetic cost of coupling to reservoirs, Phys. Rev. X 11, 021057 (2021).
- E. Fodor, R. L. Jack, and M. E. Cates, Irreversibility and biased ensembles in active matter: Insights from stochastic thermodynamics, Annu. Rev. Condens. Matter Phys. 13, 215 (2022).
- C. Maes, Local detailed balance, SciPost Phys. Lect. Notes 32 (2021).
- C. Maes and K. Netočný, Time-reversal and entropy, J. Stat. Phys. 110, 269 (2003).
- R. Bebon, J. F. Robinson, and T. Speck, Thermodynamics of active matter: Tracking dissipation across scales, Phys. Rev. X 15, 021050 (2025).
- M. Kardar, Statistical Physics of Fields (Cambridge University, New York, 2007).
- G. F. Mazenko, Nonequilibrium Statistical Mechanics (Wiley, New York, 2006).
- J. García-Ojalvo and J. M. Sancho, Noise in Spatially Extended Systems (Springer, New York, 1999).
- S.-K. Ma, Modern Theory of Critical Phenomena (Routledge, New York, 2018).
- U. C. Täuber, Critical Dynamics: A Field Theory Approach to Equilibrium and Non-Equilibrium Scaling Behavior (Cambridge University, New York, 2014).
- P. C. Hohenberg and B. I. Halperin, Theory of dynamic critical phenomena, Rev. Mod. Phys. 49, 435 (1977).
- M. Esposito, Stochastic thermodynamics under coarse graining, Phys. Rev. E 85, 041125 (2012).
- G. Falasco and M. Esposito, Macroscopic stochastic thermodynamics, Rev. Mod. Phys. 97, 015002 (2025).
- M. Esposito and C. Van den Broeck, Three faces of the second law. I. Master equation formulation, Phys. Rev. E 82, 011143 (2010).
- C. Van den Broeck and M. Esposito, Three faces of the second law. II. Fokker-Planck formulation, Phys. Rev. E 82, 011144 (2010).
- M. Polettini, G. Bulnes-Cuetara, and M. Esposito, Conservation laws and symmetries in stochastic thermodynamics, Phys. Rev. E 94, 052117 (2016).
- C. Maes, Response theory: A trajectory-based approach, Front. Phys. 8, 229 (2020).
- G. Jung and F. Schmid, Fluctuation-dissipation relations far from equilibrium: A case study, Soft Matter 17, 6413 (2021).
- H. Vaquero del Pino, F. Gay-Balmaz, H. Yoshimura, and L. Y. Chew, Variational formulation of stochastic thermodynamics: Finite-dimensional systems, Phys. Rev. E 113, 054107 (2026).
- F. Gay-Balmaz and H. Yoshimura, A Lagrangian variational formulation for nonequilibrium thermodynamics. Part II: Continuum systems, J. Geom. Phys. 111, 194 (2017).
- J. E. Marsden and T. S. Ratiu, Introduction to Mechanics and Symmetry: A Basic Exposition of Classical Mechanical Systems (Springer, New York, 1999).
- F. Gay-Balmaz and T. S. Ratiu, The geometric structure of complex fluids, Adv. Appl. Math. 42, 176 (2009).
- M. Hairer, M. D. Ryser, and H. Weber, Triviality of the 2D stochastic Allen-Cahn equation, Electron. J. Probab. 17, 1 (2012).
- M. D. Ryser, N. Nigam, and P. F. Tupper, On the well-posedness of the stochastic Allen-Cahn equation in two dimensions, J. Comput. Phys. 231, 2537 (2012).
- M. E. Cates, E. Fodor, T. Markovich, C. Nardini, and E. Tjhung, Stochastic hydrodynamics of complex fluids: Discretisation and entropy production, Entropy 24, 254 (2022).
- M. Hairer, A theory of regularity structures, Invent. Math. 198, 269 (2014).
- W. Wu and J. Wang, Potential and flux field landscape theory. II. Non-equilibrium thermodynamics of spatially inhomogeneous stochastic dynamical systems, J. Chem. Phys. 141, 105104 (2014).
- G. Da Prato and J. Zabczyk, Stochastic Equations in Infinite Dimensions, Encyclopedia of Mathematics and its Applications (Cambridge University, New York, 1992), pp. 86–114.
- B. Øksendal, Stochastic Differential Equations (Springer-Verlag, Berlin, 2003).
- P. Hänggi and H. Thomas, Stochastic processes: Time evolution, symmetries and linear response, Phys. Rep. 88, 207 (1982).
- C. Gardiner, Handbook of Stochastic Methods for Physics, Chemistry, and the Natural Sciences, Proceedings in Life Sciences (Springer-Verlag, Berlin, 1985).
- L. F. Cugliandolo, V. Lecomte, and F. van Wijland, Building a path-integral calculus: A covariant discretization approach, J. Phys. A: Math. Theor. 52, 50LT01 (2019).
- C. Wissel, Manifolds of equivalent path integral solutions of the Fokker-Planck equation, Z. Physik B 35, 185 (1979).
- L. Onsager and S. Machlup, Fluctuations and irreversible processes, Phys. Rev. 91, 1505 (1953).
- A. W. C. Lau and T. C. Lubensky, State-dependent diffusion: Thermodynamic consistency and its path integral formulation, Phys. Rev. E 76, 011123 (2007).
- L. F. Cugliandolo and V. Lecomte, Rules of calculus in the path integral representation of white noise Langevin equations: The Onsager-Machlup approach, J. Phys. A: Math. Theor. 50, 345001 (2017).
- R. Graham, Path integral formulation of general diffusion processes, Z. Physik B 26, 281 (1977).
- R. Graham, Covariant formulation of non-equilibrium statistical thermodynamics, Z. Physik B 26, 397 (1977).
- U. Deininghaus and R. Graham, Nonlinear point transformations and covariant interpretation of path integrals, Z. Physik B 34, 211 (1979).
- M. Itami and S.-i. Sasa, Universal form of stochastic evolution for slow variables in equilibrium systems, J. Stat. Phys. 167, 46 (2017).
- J. M. R. Parrondo, C. V. d. Broeck, and R. Kawai, Entropy production and the arrow of time, New J. Phys. 11, 073008 (2009).
- S. Kullback and R. A. Leibler, On information and sufficiency, Ann. Math. Stat. 22, 79 (1951).
- C. Kwon, J. Yeo, H. K. Lee, and H. Park, Unconventional entropy production in the presence of momentum-dependent forces, J. Korean Phys. Soc. 68, 633 (2016).
- T. Munakata and M. L. Rosinberg, Entropy production and fluctuation theorems under feedback control: The molecular refrigerator model revisited, J. Stat. Mech. (2012) P05010.
- H. Vaquero del Pino, F. Gay-Balmaz, H. Yoshimura, and L. Y. Chew, Variational approach to the stochastic thermodynamics of Langevin systems, in Geometric Science of Information, edited by F. Nielsen and F. Barbaresco (Springer, New York, 2026), pp. 193–203.
- M. E. Peskin and D. V. Schroeder, An Introduction to Quantum Field Theory (CRC, Boca Raton, FL, 1995).
- M. L. Bellac and G. Barton, Quantum and Statistical Field Theory (Oxford University, New York, 1992).
- G. Parisi, Statistical Field Theory, Frontiers in Physics (Basic, New York, 1988).
- K. H. Kim and H. Qian, Entropy production of Brownian macromolecules with inertia, Phys. Rev. Lett. 93, 120602 (2004).
- D. Mandal, K. Klymko, and M. R. DeWeese, Entropy production and fluctuation theorems for active matter, Phys. Rev. Lett. 119, 258001 (2017).
- M. Baiesi and G. Falasco, Inflow rate, a time-symmetric observable obeying fluctuation relations, Phys. Rev. E 92, 042162 (2015).
- H.-M. Chun and J. Dong Noh, Microscopic theory for the time irreversibility and the entropy production, J. Stat. Mech. (2018) 023208.
- J. M. R. Parrondo, J. M. Horowitz, and T. Sagawa, Thermodynamics of information, Nat. Phys. 11, 131 (2015).
- L. Dabelow, S. Bo, and R. Eichhorn, Irreversibility in active matter systems: Fluctuation theorem and mutual information, Phys. Rev. X 9, 021009 (2019).
- C. Cafaro, S. A. Ali, and A. Giffin, Thermodynamic aspects of information transfer in complex dynamical systems, Phys. Rev. E 93, 022114 (2016).
- T. Sagawa and M. Ueda, Nonequilibrium thermodynamics of feedback control, Phys. Rev. E 85, 021104 (2012).
- M. Esposito and C. Van den Broeck, Second law and Landauer principle far from equilibrium, Europhys. Lett. 95, 40004 (2011).
- X. Xing, Foundation for stochastic thermodynamics via the microcanonical ensemble, J. Stat. Phys. 193, 26 (2026).
- G. E. Crooks, Excursions in Statistical Dynamics, Ph.D. thesis, University of California, Berkeley, CA, 1999.
- D. M. Busiello, M. Ciarchi, and I. Di Terlizzi, Unraveling active baths through their hidden degrees of freedom, Phys. Rev. Res. 6, 013190 (2024).
- C. Eckart, The thermodynamics of irreversible processes. i. the simple fluid, Phys. Rev. 58, 267 (1940).
- S. Shankar and M. C. Marchetti, Hidden entropy production and work fluctuations in an ideal active gas, Phys. Rev. E 98, 020604(R) (2018).
- P. Español, Statistical mechanics of the GENERIC framework under external forcing, J. Chem. Phys. 159, 024111 (2023).
- A. Bloch, Nonholonomic Mechanics and Control (Springer, New York, 2015).
- M. Tuckerman, Statistical Mechanics: Theory and Molecular Simulation, Oxford Graduate Texts (Oxford University, New York, 2010).
- H. Yoshimura and J. E. Marsden, Dirac structures in Lagrangian mechanics. II. Variational structures, J. Geom. Phys. 57, 209 (2006).
- F. Gay-Balmaz and H. Yoshimura, A variational formulation of nonequilibrium thermodynamics for discrete open systems with mass and heat transfer, Entropy 20, 163 (2018).
- E. S. Gawlik and F. Gay-Balmaz, Variational and thermodynamically consistent finite element discretization for heat conducting viscous fluids, Math. Models Methods Appl. Sci. 34, 243 (2024).
- S. De Groot and P. Mazur, Non-Equilibrium Thermodynamics, Dover Books on Physics (Dover, New York, 2013).
- C. Giorgi and F. Zullo, Nonlinear and nonlocal models of heat conduction in continuum thermodynamics, Continuum Mech. Thermodyn. 38, 15 (2026).
- K. Kanazawa, T. Sagawa, and H. Hayakawa, Stochastic energetics for non-Gaussian processes, Phys. Rev. Lett. 108, 210601 (2012).
- E. S. Gawlik and F. Gay-Balmaz, A variational finite element discretization of compressible flow, Found. Comput. Math. 21, 961 (2021).
- E. S. Gawlik and F. Gay-Balmaz, A structure-preserving finite element method for compressible ideal and resistive magnetohydrodynamics, J. Plasma Phys. 87, 835870501 (2021).
- E. S. Gawlik, F. Gay-Balmaz, and B. Manach-Pérennou, Structure-preserving and thermodynamically consistent finite element discretization for visco-resistive MHD with thermoelectric effect, J. Comput. Phys. 542 114336 (2025).
- A. Celani, S. Bo, R. Eichhorn, and E. Aurell, Anomalous thermodynamics at the microscale, Phys. Rev. Lett. 109, 260603 (2012).
- J. Oppenheim and E. Panella, Diffusion in the stochastic Klein-Gordon equation arXiv:2511.10738.
- A. A. Dubkov, P. Hänggi, and I. Goychuk, Non-linear Brownian motion: The problem of obtaining the thermal Langevin equation for a non-Gaussian bath, J. Stat. Mech. (2009) P01034.
- D. Chandler, Introduction to Modern Statistical Mechanics (Oxford University, New York, 1987).
- G. Ruppeiner, Thermodynamics: A Riemannian geometric model, Phys. Rev. A 20, 1608 (1979).
- L. D. Landau and E. M. Lifshitz, Statistical Physics, 3rd ed. (Butterworth-Heinemann, Oxford, 1980), Vol. 5.
- A. Einstein, Theorie der opaleszenz von homogenen flüssigkeiten und flüssigkeitsgemischen in der nähe des kritischen zustandes, Ann. Phys. (Leipzig) 338, 1275 (1910).
- R. Kubo, Statistical Mechanics: An Advanced Course with Problems and Solutions, North-Holland Personal Library (North-Holland, Amsterdam, 1967).
- G. B. Arfken, H. J. Weber, and F. E. Harris, Mathematical Methods for Physicists, 7th ed. (Academic, New York, 2013).
- J. Tarski, Functional delta-functions and Fourier transforms, J. Phys. A: Math. Gen. 17, 1187 (1984).
- L. Onsager, Reciprocal relations in irreversible processes. II., Phys. Rev. 38, 2265 (1931).
- K. Kawasaki and T. Koga, Relaxation and growth of concentration fluctuations in binary fluids and polymer blends, Physica A 201, 115 (1993).
- D. S. Dean, Langevin equation for the density of a system of interacting Langevin processes, J. Phys. A: Math. Gen. 29, L613 (1996).
- B. Derrida, J. L. Lebowitz, and E. R. Speer, Free energy functional for nonequilibrium systems: An exactly solvable case, Phys. Rev. Lett. 87, 150601 (2001).
- T. Leonard, B. Lander, U. Seifert, and T. Speck, Stochastic thermodynamics of fluctuating density fields: Non-equilibrium free energy differences under coarse-graining, J. Chem. Phys. 139, 204109 (2013).
- M. Kardar, G. Parisi, and Y.-C. Zhang, Dynamic scaling of growing interfaces, Phys. Rev. Lett. 56, 889 (1986).
- J. B. Bell, A. L. Garcia, and S. A. Williams, Numerical methods for the stochastic Landau-Lifshitz Navier-Stokes equations, Phys. Rev. E 76, 016708 (2007).
- D. Venturelli, S. A. M. Loos, B. Walter, E. Roldán, and A. Gambassi, Stochastic thermodynamics of a probe in a fluctuating correlated field, Europhys. Lett. 146, 27001 (2024).
- E. Fodor, C. Nardini, M. E. Cates, J. Tailleur, P. Visco, and F. van Wijland, How far from equilibrium is active matter? Phys. Rev. Lett. 117, 038103 (2016).
- F. Gay-Balmaz and C. Tronci, Reduction theory for symmetry breaking with applications to nematic systems, Physica D 239, 1929 (2010).
- H. Risken, The Fokker-Planck Equation: Methods of Solution and Applications (Springer-Verlag, Berlin, 1996).
- R. Toral and P. Colet, Stochastic Numerical Methods: An Introduction for Students and Scientists (Wiley, New York, 2014).