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March  2021, 41(3): 1319-1346. doi: 10.3934/dcds.2020319

Entropy production in random billiards

Timothy Chumley 1,, and  Renato Feres 2,

1. 

Department of Mathematics and Statistics, Mount Holyoke College, 50 College St, South Hadley, MA 01075, USA
2. 

Department of Mathematics and Statistics, Washington University, Campus Box 1146, St. Louis, MO 63130, USA

* Corresponding author: Timothy Chumley

Received  February 2020 Revised  July 2020 Published  August 2020

We consider a class of random mechanical systems called random billiards to study the problem of quantifying the irreversibility of nonequilibrium macroscopic systems. In a random billiard model, a point particle evolves by free motion through the interior of a spatial domain, and reflects according to a reflection operator, specified in the model by a Markov transition kernel, upon collision with the boundary of the domain. We derive a formula for entropy production rate that applies to a general class of random billiard systems. This formula establishes a relation between the purely mathematical concept of entropy production rate and textbook thermodynamic entropy, recovering in particular Clausius' formulation of the second law of thermodynamics. We also study an explicit class of examples whose reflection operator, referred to as the Maxwell-Smoluchowski thermostat, models systems with boundary thermostats kept at possibly different temperatures. We prove that, under certain mild regularity conditions, the class of models are uniformly ergodic Markov chains and derive formulas for the stationary distribution and entropy production rate in terms of geometric and thermodynamic parameters.

Keywords: Random billiards, second law of thermodynamics, entropy production rate, heat bath, mechanical particle systems.
Mathematics Subject Classification: Primary: 37A25, 80A99; Secondary: 60J25.
Citation: Timothy Chumley, Renato Feres. Entropy production in random billiards. Discrete & Continuous Dynamical Systems - A, 2021, 41 (3) : 1319-1346. doi: 10.3934/dcds.2020319
References:
[1]

C. Cercignani and D. H. Sattinger, Scaling Limits and Models in Physical Processes, DMV Seminar, 28, Birkhäuser Verlag, Basel, 1998. doi: 10.1007/978-3-0348-8810-3.  Google Scholar

[2]

N. Chernov and R. Markarian, Chaotic Billiards, Mathematical Surveys and Monographs, 127, American Mathematical Society, Providence, RI, 2006. doi: 10.1090/surv/127.  Google Scholar

[3]

P. Collet and J.-P. Eckmann, A model of heat conduction, Comm. Math. Phys., 287 (2009), 1015-1038.  doi: 10.1007/s00220-008-0691-2.  Google Scholar

[4]

F. Comets, S. Popov, G. M. Schütz and M. Vachkovskaia, Billiards in a general domain with random reflections, Arch. Ration. Mech. Anal., 191 (2009), 497-537.  doi: 10.1007/s00205-008-0120-x.  Google Scholar

[5]

S. Cook and R. Feres, Random billiards with wall temperature and associated Markov chains, Nonlinearity, 25 (2012), 2503-2541.  doi: 10.1088/0951-7715/25/9/2503.  Google Scholar

[6]

M. F. Demers, L. Rey-Bellet and H.-K. Zhang, Fluctuation of the entropy production for the Lorentz gas under small external Forces, Comm. Math. Phys., 363 (2018), 699-740.  doi: 10.1007/s00220-018-3228-3.  Google Scholar

[7]

J.-P. Eckmann, C.-A. Pillet and L. Rey-Bellet, Non-equilibrium statistical mechanics of anharmonic chains coupled to two heat baths at different temperatures, Comm. Math. Phys., 201 (1999), 657-697.  doi: 10.1007/s002200050572.  Google Scholar

[8]

J.-P. Eckmann and L.-S. Young, Nonequilibrium energy profiles for a class of 1-D models, Comm. Math. Phys., 262 (2006), 237-267.  doi: 10.1007/s00220-005-1462-y.  Google Scholar

[9]

J.-P. Eckmann, C.-A. Pillet and L. Rey-Bellet, Entropy production in nonlinear, thermally driven Hamiltonian systems, J. Statist. Phys., 95 (1999), 305-331.  doi: 10.1023/A:1004537730090.  Google Scholar

[10]

S. N. Evans, Stochastic billiards on general tables, Ann. Appl. Probab., 11 (2001), 419-437.  doi: 10.1214/aoap/1015345298.  Google Scholar

[11]

R. Feres, Random walks derived from billiards, in Dynamics, Ergodic Theory, and Geometry, Math. Sci. Res. Inst. Publ., 54, Cambridge Univ. Press, Cambridge, 2007, 179-222. doi: 10.1017/CBO9780511755187.008.  Google Scholar

[12]

R. Feres and H.-K. Zhang, The spectrum of the billiard Laplacian of a family of random billiards, J. Stat. Phys., 141 (2010), 1039-1054.  doi: 10.1007/s10955-010-0079-5.  Google Scholar

[13]

R. Feres and H.-K. Zhang, Spectral gap for a class of random billiards, Comm. Math. Phys., 313 (2012), 479-515.  doi: 10.1007/s00220-012-1469-0.  Google Scholar

[14] P. Gaspard, Chaos, Scattering and Statistical Mechanics, Cambridge Nonlinear Science Series, 9, Cambridge University Press, Cambridge, 1998.  doi: 10.1017/CBO9780511628856.  Google Scholar
[15]

V. Jakšić, C.-A. Pillet and L. Rey-Bellet, Entropic fluctuations in statistical mechanics: I. Classical dynamical systems, Nonlinearity, 24 (2011), 699-763.  doi: 10.1088/0951-7715/24/3/003.  Google Scholar

[16]

V. Jakšić, C.-A. Pillet and A. Shirikyan, Entropic fluctuations in Gaussian dynamical systems, Rep. Math. Phys., 77 (2016), 335-376.  doi: 10.1016/S0034-4877(16)30034-9.  Google Scholar

[17]

D.-Q. Jiang, M. Qian and M.-P. Qian, Mathematical Theory of Nonequilibrium Steady States, Lecture Notes in Mathematics, 1833, Springer-Verlag, Berlin, 2004. doi: 10.1007/b94615.  Google Scholar

[18]

K. Khanin and T. Yarmola, Ergodic properties of random billiards driven by thermostats, Comm. Math. Phys., 320 (2013), 121-147.  doi: 10.1007/s00220-013-1715-0.  Google Scholar

[19]

H. Larralde, F. Leyvraz and C. Mejía-Monasterio, Transport properties of a modified Lorentz gas, J. Statist. Phys., 113 (2003), 197-231.  doi: 10.1023/A:1025726905782.  Google Scholar

[20]

J. M. Lee, Introduction to Smooth Manifolds, Graduate Texts in Mathematics, 218, Springer-Verlag, New York, 2003. doi: 10.1007/978-0-387-21752-9.  Google Scholar

[21]

Y. Li and L.-S. Young, Existence of nonequilibrium steady state for a simple model of heat conduction, J. Stat. Phys., 152 (2013), 1170-1193.  doi: 10.1007/s10955-013-0801-1.  Google Scholar

[22]

K. K. Lin and L.-S. Young, Nonequilibrium steady states for certain Hamiltonian models, J. Stat. Phys., 139 (2010), 630-657.  doi: 10.1007/s10955-010-9958-z.  Google Scholar

[23] S. Meyn and R. L. Tweedie, Markov Chains and Stochastic Stability, Cambridge University Press, Cambridge, 2009.  doi: 10.1017/CBO9780511626630.  Google Scholar
[24]

H. Qian, S. Kjelstrup, A. B. Kolomeisky and D. Bedeaux, Entropy production in mesoscopic stochastic thermodynamics: Nonequilibrium kinetic cycles driven by chemical potentials, temperatures, and mechanical forces, J. Phys. Condensed Matter, 28 (2016). doi: 10.1088/0953-8984/28/15/153004.  Google Scholar

[25]

L. Rey-Bellet and L. E. Thomas, Fluctuations of the entropy production in anharmonic chains, Ann. Henri Poincaré, 3 (2002), 483-502.  doi: 10.1007/s00023-002-8625-6.  Google Scholar

[26]

L. Rey-Bellet, Nonequilibrium statistical mechanics of open classical systems, in XIVth International Congress on Mathematical Physics, World Sci. Publ., Hackensack, NJ, 2005,447–454. doi: 10.1142/9789812704016_0043.  Google Scholar

[27]

L. Rey-Bellet and L. E. Thomas, Exponential convergence to non-equilibrium stationary states in classical statistical mechanics, Comm. Math. Phys., 225 (2002), 305-329.  doi: 10.1007/s002200100583.  Google Scholar

[28]

U. Seifert, Stochastic thermodynamics, fluctuation theorems and molecular machines, preprint, arXiv: 1205.4176. Google Scholar

[29]

T. Yarmola, Sub-exponential mixing of open systems with particle-disk interactions, J. Stat. Phys., 156 (2014), 473-492.  doi: 10.1007/s10955-014-1014-y.  Google Scholar

show all references

References:
[1]

C. Cercignani and D. H. Sattinger, Scaling Limits and Models in Physical Processes, DMV Seminar, 28, Birkhäuser Verlag, Basel, 1998. doi: 10.1007/978-3-0348-8810-3.  Google Scholar

[2]

N. Chernov and R. Markarian, Chaotic Billiards, Mathematical Surveys and Monographs, 127, American Mathematical Society, Providence, RI, 2006. doi: 10.1090/surv/127.  Google Scholar

[3]

P. Collet and J.-P. Eckmann, A model of heat conduction, Comm. Math. Phys., 287 (2009), 1015-1038.  doi: 10.1007/s00220-008-0691-2.  Google Scholar

[4]

F. Comets, S. Popov, G. M. Schütz and M. Vachkovskaia, Billiards in a general domain with random reflections, Arch. Ration. Mech. Anal., 191 (2009), 497-537.  doi: 10.1007/s00205-008-0120-x.  Google Scholar

[5]

S. Cook and R. Feres, Random billiards with wall temperature and associated Markov chains, Nonlinearity, 25 (2012), 2503-2541.  doi: 10.1088/0951-7715/25/9/2503.  Google Scholar

[6]

M. F. Demers, L. Rey-Bellet and H.-K. Zhang, Fluctuation of the entropy production for the Lorentz gas under small external Forces, Comm. Math. Phys., 363 (2018), 699-740.  doi: 10.1007/s00220-018-3228-3.  Google Scholar

[7]

J.-P. Eckmann, C.-A. Pillet and L. Rey-Bellet, Non-equilibrium statistical mechanics of anharmonic chains coupled to two heat baths at different temperatures, Comm. Math. Phys., 201 (1999), 657-697.  doi: 10.1007/s002200050572.  Google Scholar

[8]

J.-P. Eckmann and L.-S. Young, Nonequilibrium energy profiles for a class of 1-D models, Comm. Math. Phys., 262 (2006), 237-267.  doi: 10.1007/s00220-005-1462-y.  Google Scholar

[9]

J.-P. Eckmann, C.-A. Pillet and L. Rey-Bellet, Entropy production in nonlinear, thermally driven Hamiltonian systems, J. Statist. Phys., 95 (1999), 305-331.  doi: 10.1023/A:1004537730090.  Google Scholar

[10]

S. N. Evans, Stochastic billiards on general tables, Ann. Appl. Probab., 11 (2001), 419-437.  doi: 10.1214/aoap/1015345298.  Google Scholar

[11]

R. Feres, Random walks derived from billiards, in Dynamics, Ergodic Theory, and Geometry, Math. Sci. Res. Inst. Publ., 54, Cambridge Univ. Press, Cambridge, 2007, 179-222. doi: 10.1017/CBO9780511755187.008.  Google Scholar

[12]

R. Feres and H.-K. Zhang, The spectrum of the billiard Laplacian of a family of random billiards, J. Stat. Phys., 141 (2010), 1039-1054.  doi: 10.1007/s10955-010-0079-5.  Google Scholar

[13]

R. Feres and H.-K. Zhang, Spectral gap for a class of random billiards, Comm. Math. Phys., 313 (2012), 479-515.  doi: 10.1007/s00220-012-1469-0.  Google Scholar

[14] P. Gaspard, Chaos, Scattering and Statistical Mechanics, Cambridge Nonlinear Science Series, 9, Cambridge University Press, Cambridge, 1998.  doi: 10.1017/CBO9780511628856.  Google Scholar
[15]

V. Jakšić, C.-A. Pillet and L. Rey-Bellet, Entropic fluctuations in statistical mechanics: I. Classical dynamical systems, Nonlinearity, 24 (2011), 699-763.  doi: 10.1088/0951-7715/24/3/003.  Google Scholar

[16]

V. Jakšić, C.-A. Pillet and A. Shirikyan, Entropic fluctuations in Gaussian dynamical systems, Rep. Math. Phys., 77 (2016), 335-376.  doi: 10.1016/S0034-4877(16)30034-9.  Google Scholar

[17]

D.-Q. Jiang, M. Qian and M.-P. Qian, Mathematical Theory of Nonequilibrium Steady States, Lecture Notes in Mathematics, 1833, Springer-Verlag, Berlin, 2004. doi: 10.1007/b94615.  Google Scholar

[18]

K. Khanin and T. Yarmola, Ergodic properties of random billiards driven by thermostats, Comm. Math. Phys., 320 (2013), 121-147.  doi: 10.1007/s00220-013-1715-0.  Google Scholar

[19]

H. Larralde, F. Leyvraz and C. Mejía-Monasterio, Transport properties of a modified Lorentz gas, J. Statist. Phys., 113 (2003), 197-231.  doi: 10.1023/A:1025726905782.  Google Scholar

[20]

J. M. Lee, Introduction to Smooth Manifolds, Graduate Texts in Mathematics, 218, Springer-Verlag, New York, 2003. doi: 10.1007/978-0-387-21752-9.  Google Scholar

[21]

Y. Li and L.-S. Young, Existence of nonequilibrium steady state for a simple model of heat conduction, J. Stat. Phys., 152 (2013), 1170-1193.  doi: 10.1007/s10955-013-0801-1.  Google Scholar

[22]

K. K. Lin and L.-S. Young, Nonequilibrium steady states for certain Hamiltonian models, J. Stat. Phys., 139 (2010), 630-657.  doi: 10.1007/s10955-010-9958-z.  Google Scholar

[23] S. Meyn and R. L. Tweedie, Markov Chains and Stochastic Stability, Cambridge University Press, Cambridge, 2009.  doi: 10.1017/CBO9780511626630.  Google Scholar
[24]

H. Qian, S. Kjelstrup, A. B. Kolomeisky and D. Bedeaux, Entropy production in mesoscopic stochastic thermodynamics: Nonequilibrium kinetic cycles driven by chemical potentials, temperatures, and mechanical forces, J. Phys. Condensed Matter, 28 (2016). doi: 10.1088/0953-8984/28/15/153004.  Google Scholar

[25]

L. Rey-Bellet and L. E. Thomas, Fluctuations of the entropy production in anharmonic chains, Ann. Henri Poincaré, 3 (2002), 483-502.  doi: 10.1007/s00023-002-8625-6.  Google Scholar

[26]

L. Rey-Bellet, Nonequilibrium statistical mechanics of open classical systems, in XIVth International Congress on Mathematical Physics, World Sci. Publ., Hackensack, NJ, 2005,447–454. doi: 10.1142/9789812704016_0043.  Google Scholar

[27]

L. Rey-Bellet and L. E. Thomas, Exponential convergence to non-equilibrium stationary states in classical statistical mechanics, Comm. Math. Phys., 225 (2002), 305-329.  doi: 10.1007/s002200100583.  Google Scholar

[28]

U. Seifert, Stochastic thermodynamics, fluctuation theorems and molecular machines, preprint, arXiv: 1205.4176. Google Scholar

[29]

T. Yarmola, Sub-exponential mixing of open systems with particle-disk interactions, J. Stat. Phys., 156 (2014), 473-492.  doi: 10.1007/s10955-014-1014-y.  Google Scholar

Figure 1.  The random billiard map is the composition of two maps: the geodesic translation $ \mathcal{T} $ and scattering determined by the reflection operator $ P $. The distribution of the velocity $ V $ after reflection is given by $ \mathcal{B}_x = P_{\mathcal{T}(x)} $
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Figure 2.  The two-masses system
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Figure 3.  Configuration manifold for the two-masses random billiard system
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Figure 4.  Depiction of some of the vectors appearing in the proof of Proposition 5
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Figure 5.  A particle of mass $ m $ bounces back and forth between two plates kept at temperatures $ T_1 $ and $ T_2 $. For the reflection operator we use the Maxwell-Smoluchowski model with probabilities of diffuse reflection $ \alpha_1 $ and $ \alpha_2 $
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Figure 6.  Entropy production for a billiard system whose billiard domain is formed by the union of two discs of equal radius $ r $ whose centers are $ a $ units apart. The ratio parameter is $ a/2r $ and the number above each graph is the temperature difference $ T_2-T_1 $. The vertical bars indicate 95% confidence intervals
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Figure 7.  A simple random billiard heat engine. The difference in temperatures allows the system to do work against an external force
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Figure 8.  When $ F = 0 $ the conveyor belt steadily drifts counterclockwise when $ T_h-T_c>0 $, and clockwise when the temperatures are reversed. The temperatures for the top $ 4 $ graphs are $ T_c = 1 $ and $ T_h = 1, 10, 25, 50 $, and $ T_c, T_h $ are reversed for the $ 3 $ lower graphs. The inset is the same as the graph for $ T_c = T_h = 1 $ but in a finer scale so that its stochastic character is more clearly apparent
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Figure 9.  Efficiency of the billiard heat engine as a function of the force acting on the sliding wall
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