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  • Letter
  • Open Access

Minimum-dissipation principle for synchronized stochastic oscillators far from equilibrium

Jan Meibohm1,2 and Massimiliano Esposito3

Phys. Rev. E 110, L042102 – Published 15 October, 2024

DOI: https://doi.org/10.1103/PhysRevE.110.L042102

Abstract

We prove a linear stability-dissipation relation (SDR) for q-state Potts models driven far from equilibrium by a nonconservative force. At a critical coupling strength, these models exhibit a synchronization transition from a decoherent into a synchronized state. In the vicinity of this transition, the SDR connects the entropy production rate per oscillator to the phase-space contraction rate, a measure of stability, in a simple way. For large but finite systems, we argue that the SDR implies a minimum-dissipation principle for driven Potts models as the dynamics selects stable nonequilibrium states with least dissipation. This principle holds arbitrarily far from equilibrium, for any stochastic dynamics, and for all q.

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See Also

Small-amplitude synchronization in driven Potts models

Jan Meibohm and Massimiliano Esposito
Phys. Rev. E 110, 044114 (2024)

Article Text

Supplemental Material

References (38)

  1. I. Prigogine and P. Glansdorff, Thermodynamic Theory of Structure, Stability and Fluctuations (Wiley-Interscience, New York, 1971).
  2. D. Kondepudi and I. Prigogine, Modern Thermodynamics: From Heat Engines to Dissipative Structures (Wiley, New York, 2014).
  3. I. Prigogine, Introduction to Thermodynamics of Irreversible Processes (Charles C Thomas Publisher, Springfield, Illinois, 1955).
  4. J. Schnakenberg, Network theory of microscopic and macroscopic behavior of master equation systems, Rev. Mod. Phys. 48, 571 (1976).
  5. C. Y. Mou, J.-l. Luo, and G. Nicolis, Stochastic thermodynamics of nonequilibrium steady states in chemical reaction systems, J. Chem. Phys. 84, 7011 (1986).
  6. D. Forastiere, R. Rao, and M. Esposito, Linear stochastic thermodynamics, New J. Phys. 24, 083021 (2022).
  7. D. Forastiere, F. Avanzini, and M. Esposito, Dissipation in hydrodynamics from micro-to macroscale: wisdom from Boltzmann and stochastic thermodynamics, New J. Phys. 26, 063022 (2024).
  8. L. Jiu-Li, C. Van den Broeck, and G. Nicolis, Stability criteria and fluctuations around nonequilibrium states, Z. Phys. B 56, 165 (1984).
  9. G. Nicolis, Thermodynamic theory of stability, structure and fluctuations, Pure Appl. Chem. 22, 379 (1970).
  10. R. Landauer, Inadequacy of entropy and entropy derivatives in characterizing the steady state, Phys. Rev. A 12, 636 (1975).
  11. E. T. Jaynes, The minimum entropy production principle, Annu. Rev. Phys. Chem. 31, 579 (1980).
  12. G. Kirchhoff, Ueber die Anwendbarkeit der Formeln für die Intensitäten der galvanischen Ströme in einem Systeme linearer Leiter auf Systeme, die zum Theil aus nicht linearen Leitern bestehen, Ann. Phys. 151, 189 (1848).
  13. U. Seifert, Stochastic thermodynamics, fluctuation theorems and molecular machines, Rep. Prog. Phys. 75, 126001 (2012).
  14. C. Van den Broeck and M. Esposito, Ensemble and trajectory thermodynamics: A brief introduction, Physica A 418, 6 (2015).
  15. L. Peliti and S. Pigolotti, Stochastic Thermodynamics: An Introduction (Princeton University Press, Princeton, NJ, 2021).
  16. G. Falasco and M. Esposito, Macroscopic stochastic thermodynamics, arXiv:2307.12406.
  17. T. Herpich, J. Thingna, and M. Esposito, Collective power: Minimal model for thermodynamics of nonequilibrium phase transitions, Phys. Rev. X 8, 031056 (2018).
  18. T. Herpich and M. Esposito, Universality in driven Potts models, Phys. Rev. E 99, 022135 (2019).
  19. J. Meibohm and M. Esposito, companion paper, Small-amplitude synchronization in driven Potts models, Phys. Rev. E 110, 044114 (2024).
  20. D. Ruelle, Positivity of entropy production in nonequilibrium statistical mechanics, J. Stat. Phys. 85, 1 (1996).
  21. D. Daems and G. Nicolis, Entropy production and phase space volume contraction, Phys. Rev. E 59, 4000 (1999).
  22. D. J. Searles and D. J. Evans, The fluctuation theorem and Green-Kubo relations, J. Chem. Phys. 112, 9727 (2000).
  23. D. J. Evans and G. P Morriss, Statistical Mechanics of Nonequilbrium Liquids (ANU Press, Canberra, ACT, 2007).
  24. A. Imparato, Stochastic thermodynamics in many-particle systems, New J. Phys. 17, 125004 (2015).
  25. S.-ichi Sasa, Collective dynamics from stochastic thermodynamics, New J. Phys. 17, 045024 (2015).
  26. P. D. Pinto, A. L. A. Penna, and F. A. Oliveira, Critical behavior of noise-induced phase synchronization, Europhys. Lett. 117, 50009 (2017).
  27. M. Suñé and A. Imparato, Out-of-equilibrium clock model at the verge of criticality, Phys. Rev. Lett. 123, 070601 (2019).
  28. M. Chatzittofi, R. Golestanian, and J. Agudo-Canalejo, Collective synchronization of dissipatively-coupled noise-activated processes, New J. Phys. 25, 093014 (2023).
  29. D. Zhang, Y. Cao, Q. Ouyang, and Y. Tu, The energy cost and optimal design for synchronization of coupled molecular oscillators, Nat. Phys. 16, 95 (2020).
  30. L. Guislain and E. Bertin, Discontinuous phase transition from ferromagnetic to oscillating states in a nonequilibrium mean-field spin model, Phys. Rev. E 109, 034131 (2024).
  31. Y. Izumida, H. Kori, and U. Seifert, Energetics of synchronization in coupled oscillators rotating on circular trajectories, Phys. Rev. E 94, 052221 (2016).
  32. F.-Y. Wu, The Potts model, Rev. Mod. Phys. 54, 235 (1982).
  33. These limits should be understood as conservative mathematical statements. We find numerically that Eqs. (12), (16), and (17) hold also for moderate Λ and βf.
  34. We express all entropy measures in dimensionless form, i.e., in units of kB.
  35. M. Baiesi and G. Falasco, Inflow rate, a time-symmetric observable obeying fluctuation relations, Phys. Rev. E 92, 042162 (2015).
  36. E. Ott, Chaos in Dynamical Systems (Cambridge University Press, Cambridge, 2002).
  37. See Ref. [19] and the Supplemental Material [38] for numerical confirmations at q=9 and q=17.
  38. See Supplemental Material at http://link.aps.org/supplemental/10.1103/PhysRevE.110.L042102 for videos that illustrate the minimum-dissipation principle.

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