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Non-equilibrium Thermodynamics of Piecewise Deterministic Markov Processes

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Abstract

We consider a class of stochastic dynamical systems, called piecewise deterministic Markov processes, with states (x,σ)∈Ω×Γ, Ω being a region in ℝd or the d-dimensional torus, Γ being a finite set. The continuous variable x follows a piecewise deterministic dynamics, the discrete variable σ evolves by a stochastic jump dynamics and the two resulting evolutions are fully-coupled. We study stationarity, reversibility and time-reversal symmetries of the process. Increasing the frequency of the σ-jumps, the system behaves asymptotically as deterministic and we investigate the structure of its fluctuations (i.e. deviations from the asymptotic behavior), recovering in a non Markovian frame results obtained by Bertini et al. (Phys. Rev. Lett. 87(4):040601, 2001; J. Stat. Phys. 107(3–4):635–675, 2002; J. Stat. Mech. P07014, 2007; Preprint available online at http://www.arxiv.org/abs/0807.4457, 2008), in the context of Markovian stochastic interacting particle systems. Finally, we discuss a Gallavotti–Cohen-type symmetry relation with involution map different from time-reversal.

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References

  1. Bertini, L., De Sole, A., Gabrielli, D., Jona-Lasinio, G., Landim, C.: Fluctuations in stationary nonequilibrium states of irreversible processes. Phys. Rev. Lett. 87, 040601 (2001); 4 pp.

    Article  MathSciNet  ADS  Google Scholar 

  2. Bertini, L., De Sole, A., Gabrielli, D., Jona-Lasinio, G., Landim, C.: Macroscopic fluctuation theory for stationary non-equilibrium states. J. Stat. Phys. 107(3–4), 635–675 (2002)

    Article  MATH  Google Scholar 

  3. Bertini, L., De Sole, A., Gabrielli, D., Jona-Lasinio, G., Landim, C.: Large deviations for the boundary driven symmetric simple exclusion process. Math. Phys. Anal. Geom. 6(3), 231–267 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  4. Bertini, L., De Sole, A., Gabrielli, D., Jona-Lasinio, G., Landim, C.: Stochastic interacting particle systems out of equilibrium. J. Stat. Mech. P07014 (2007)

  5. Bertini, L., De Sole, A., Gabrielli, D., Jona-Lasinio, G., Landim, C.: Towards a nonequilibrium thermodynamics: a self-contained macroscopic description of driven diffusive systems. Preprint available online at http://www.arxiv.org/abs/0807.4457 (2008)

  6. Billingsley, P.: Convergence of Probability Measures, 2nd edn. Wiley, New York (1999)

    MATH  Google Scholar 

  7. Breitung, K.W.: Asymptotic Approximations for Probability Integrals. Lecture Notes in Mathematics, vol. 1592. Springer, Berlin (1994)

    MATH  Google Scholar 

  8. Cassandras, C.G., Lygeros, J. (eds.): Stochastic Hybrid Systems. CRC Press, Boca Raton (2006)

    Google Scholar 

  9. Davis, M.H.A.: Piecewise-deterministic Markov processes: a general class of non-diffusion stochastic models (with discussion). J. R. Stat. Soc. B 46, 353–388 (1984)

    MATH  Google Scholar 

  10. Davis, M.H.A.: Markov Models and Optimization. Monographs on Statistics and Applied Probability, vol. 49. Chapman and Hall, London (1993)

    MATH  Google Scholar 

  11. Dembo, A., Zeitouni, O.: Large Deviations Techniques and Applications. Applications of Mathematics, vol. 38. Springer, Berlin (1998)

    MATH  Google Scholar 

  12. Faggionato, A., Gabrielli, D., Ribezzi Crivellari, M.: Averaging and large deviation principles for fully–coupled piecewise deterministic Markov processes and applications to molecular motors. Preprint available online at http://www.arxiv.org/abs/0808.1910 (2008)

  13. Faggionato, A., Gabrielli, D., Ribezzi Crivellari, M.: In preparation

  14. Freidlin, M.I., Wentzell, A.D.: Random Perturbations of Dynamical Systems. Grundlehren der mathematichen Wissenschaften, vol. 260. Springer, Berlin (1984)

    MATH  Google Scholar 

  15. Jülicher, F., Ajdari, A., Prost, J.: Modelling molecular motors. Rev. Mod. Phys. 69, 1269 (1997)

    Article  ADS  Google Scholar 

  16. Kipnis, C., Landim, C.: Scaling Limits of Interacting Particle Systems. Springer, Berlin (1999)

    MATH  Google Scholar 

  17. Kurchan, J.: Fluctuation theorem for stochastic dynamics. J. Phys. A Math. Gen. 31, 3719–3729 (1998)

    Article  MATH  MathSciNet  ADS  Google Scholar 

  18. Lebowitz, J.L., Spohn, H.: A Gallavotti–Cohen-type symmetry in the large deviation functional for stochastic dynamics. J. Stat. Phys. 95, 333–365 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  19. Maes, C.: The fluctuation theorem as a Gibbs property. J. Stat. Phys. 95(1/2), 367–392 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  20. Reimann, P.: Brownian motors: noisy transport far from equilibrium. Phys. Rep. 361, 57–265 (2002)

    Article  MATH  MathSciNet  ADS  Google Scholar 

  21. Ribezzi Crivellari, M.: Graduate Thesis, Department of Physics, University “La Sapienza”, Rome (2007)

  22. Vilfan, A., Duke, T.: Instabilities in the transient response of muscle. Biophys. J. 85, 818–826 (2003)

    Article  Google Scholar 

  23. Vilfan, A., Frey, E., Schwabl, F.: Force-velocity relations of a two state crossbridge model for molecular motors. Europhys. Lett. 45, 283–289 (1999)

    Article  ADS  Google Scholar 

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Faggionato, A., Gabrielli, D. & Ribezzi Crivellari, M. Non-equilibrium Thermodynamics of Piecewise Deterministic Markov Processes. J Stat Phys 137, 259 (2009). https://doi.org/10.1007/s10955-009-9850-x

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