Abstract
A recently introduced model describing—on a 1d lattice—the velocity field of a granular fluid is discussed in detail. The dynamics of the velocity field occurs through next-neighbours inelastic collisions which conserve momentum but dissipate energy. The dynamics is described through the corresponding Master Equation for the time evolution of the probability distribution. In the continuum limit, equations for the average velocity and temperature fields with fluctuating currents are derived, which are analogous to hydrodynamic equations of granular fluids when restricted to the shear modes. Therefore, the homogeneous cooling state, with its linear instability, and other relevant regimes such as the uniform shear flow and the Couette flow states are described. The evolution in time and space of the single particle probability distribution, in all those regimes, is also discussed, showing that the local equilibrium is not valid in general. The noise for the momentum and energy currents, which are correlated, are white and Gaussian. The same is true for the noise of the energy sink, which is usually negligible.
Similar content being viewed by others
Notes
For the usual choice of an initial Gaussian distribution, see Sect. 4.1.
Note that nearest-neighbours velocity correlations go from negative values for \(\nu =0\) (elastic limit, due to momentum conservation, where all \(\langle v_iv_{i+j}\rangle =-1/L\)) to positive values for high \(\nu \), since the granular collision rule tends to paralelise the velocities. This explains at an intuitive level why there is a value of \(\nu \) where the above correlations vanish [26, 51].
References
Jaeger, H.M., Nagel, S.R., Behringer, R.P.: Granular solids, liquids, and gases. Rev. Mod. Phys. 68(4), 1259 (1996)
Puglisi, A.: Transport and fluctuations in granular fluids. Springer, Berlin (2014)
Brilliantov, N., Pöschel, T. (eds.): Kinetic Theory of Granular Gases. Oxford University Press (2004)
van Noije, T.P.C., Ernst, M.H.: Velocity distributions in homogeneous granular fluids: the free and the heated case. Gran. Matt. 1, 57 (1998)
Lun, C.K.K., Savage, S.B., Jeffrey, D.J., Chepurniy, N.: Kinetic theories for granular flow: inelastic particles in couette flow and slightly inelastic particles in a general flowfield. J. Fluid. Mech. 140, 223 (1984)
Brey, J.J., Dufty, J.W., Kim, C.S., Santos, A.: Hydrodynamics for granular flow at low density. Phys. Rev. E 58(4), 4638 (1998)
Goldhirsch, I.: Scales and kinetics of granular. Chaos 9, 659 (1999)
Kadanoff, L.P.: Built upon sand: Theoretical ideas inspired by granular flows. Rev. Mod. Phys. 71(1), 435–444 (1999)
van Noije, T.P.C., Ernst, M.H.: Cahn-hilliard theory for unstable granular fluids. Phys. Rev. E 61, 1765 (2000)
Einstein, A.: Zur allgemeinen molekularen theorie der wärme. Ann. Phys. 319(7), 354–362 (1904)
Onsager, L., Machlup, S.: Fluctuations and irreversible processes. Phys. Rev. 91(6), 1505 (1953)
Landau, L.D., Lifshitz, E.M.: Statistical Physics 3rd edition Course of Theoretical Physics, vol. 5. Pergamon Press, Oxford (1980)
Brey, J.J., Maynar, P., de Soria, M.I.G.: Fluctuating hydrodynamics for dilute granular gases. Phys. Rev. E 79, 051305 (2009)
Bertini, L., De Sole, A., Gabrielli, D., Jona-Lasinio, G., Landim, C.: Fluctuations in stationary nonequilibrium states of irreversible processes. Phys. Rev. Lett. 87(4), 040601 (2001)
Kipnis, C., Landim, C.: Scaling Limits of Interacting Particle Systems. Springer, New York (1999)
Kipnis, C., Marchioro, C., Presutti, E.: Heat flow in an exactly solvable model. J. Stat. Phys. 27(1), 65–74 (1982)
Hurtado, P.I., Garrido, P.L.: Test of the additivity principle for current fluctuations in a model of heat conduction. Phys. Rev. Lett. 102(25), 250601 (2009)
Hurtado, P.I., Garrido, P.L.: Large fluctuations of the macroscopic current in diffusive systems: A numerical test of the additivity principle. Phys. Rev. E 81(4), 041102 (2010)
Hurtado, P.I., Garrido, P.L.: Current fluctuations and statistics during a large deviation event in an exactly solvable transport model. J. Stat. Mech. (Theor. Exp.) 2009(02), P02032 (2009)
Hurtado, P., Krapivsky, P.: Compact waves in microscopic nonlinear diffusion. Phys. Rev. E 85(6), 060103 (2012)
Srebro, Y., Levine, D.: Exactly solvable model for driven dissipative systems. Phys. Rev. Lett. 93, 240610 (2004)
Prados, A., Lasanta, A., Hurtado, P.I.: Nonlinear driven diffusive systems with dissipation: Fluctuating hydrodynamics. Phys. Rev. E 86(3), 031134 (2012)
Prados, A., Lasanta, A., Hurtado, P.I.: Large fluctuations in driven dissipative media. Phys. Rev. Lett. 107(14), 140601 (2011)
Hurtado, P.I., Lasanta, A., Prados, A.: Typical and rare fluctuations in nonlinear driven diffusive systems with dissipation. Phys. Rev. E 88(2), 022110 (2013)
Lasanta, A., Hurtado, P.I., Prados, A.: Statistics of the dissipated energy in driven diffusive systems. Eur. Phys. J. E 39(3), 35 (2016)
Lasanta, A., Manacorda, A., Prados, A., Puglisi, A.: Fluctuating hydrodynamics and mesoscopic effects of spatial correlations in dissipative systems with conserved momentum. New J. Phys. 17, 083039 (2015)
Spohn, H.: Long range correlations for stochastic lattice gases in a non-equilibrium steady state. J. Phys. A Math. Gen. 16, 4275 (1983)
Grinstein, G., Lee, D.-H., Sachdev, S.: Conservation laws, anisotropy, and self-organized criticality in noisy nonequilibrium systems. Phys. Rev. Lett. 64(16), 1927 (1990)
Garrido, P.L., Lebowitz, J.L., Maes, C., Spohn, H.: Long-range correlations for conservative dynamics. Phys. Rev. A 42(4), 1954 (1990)
Kundu, A., Hirschberg, O., Mukamel, D.: Long range correlations in stochastic transport with energy and momentum conservation
Ramaswamy, S.: The mechanics and statistics of active matter. Annu. Rev. Condens. Matter Phys. 1, 323 (2010)
Kumar, N., Soni, H., Ramaswamy, S., Sood, A.K.: Flocking at a distance in active granular matter. Nat. Commun. 5, 4688 (2014)
Baskaran, A., Marchetti, M.C.: Enhanced diffusion and ordering of self-propelled rods. Phys. Rev. Lett. 101, 268101 (2008)
Marchetti, M., Joanny, J., Ramaswamy, S., Liverpool, T., Prost, J., Rao, M., Simha, R.A.: Hydrodynamics of soft active matter. Rev. Mod. Phys. 85(3), 1143 (2013)
Chaté, H., Ginelli, F., Montagne, R.: Simple model for active nematics: Quasi-long-range order and giant fluctuations. Phys. Rev. Lett. 96, 180602 (2006)
Raymond, J.R., Evans, M.R.: Flocking regimes in a simple lattice model. Phys. Rev. E 73, 036112 (2006)
Simha, R.A., Ramaswamy, S.: Hydrodynamic fluctuations and instabilities in ordered suspensions of self-propelled particles. Phys. Rev. Lett. 89, 058101 (2002)
Brey, J.J., Cubero, D.: Hydrodynamic transport coefficients of granular gases. In: Pöschel, T., Luding, S. (eds.) Granular Gas. Springer, Berlin (2001)
Pöschel, T., Luding, S. (eds.): Granular Gases. Lecture Notes in Physics vol. 564. Springer, Berlin (2001)
Haff, P.: Grain flow as a fluid-mechanical phenomenon. J. Fluid Mech. 134, 401–430 (1983)
Ernst, H.: Nonlinear model-Boltzmann equations and exact solutions. Phys. Rep. 78, 1–171 (1981)
Brey, J.J., Ruiz-Montero, M., Cubero, D.: Homogeneous cooling state of a low-density granular flow. Phys. Rev. E 54(4), 3664 (1996)
Brey, J.J., Prados, A., de Soria, M.G., Maynar, P.: Scaling and aging in the homogeneous cooling state of a granular fluid of hard particles. J. Phys. A Math. Theor. 40(48), 14331 (2007)
Baldassarri, A., Marconi, U.M.B., Puglisi, A.: Influence of correlations on the velocity statistics of scalar granular gases. EPL (Europhysics Letters) 58(1), 14 (2002)
Ernst, M.H., Trizac, E., Barrat, A.: The rich behavior of the boltzmann equation for dissipative gases. Europhys. Lett. 76, 56 (2006)
Bortz, A.B., Kalos, M.H., Lebowitz, J.L.: A new algorithm for Monte Carlo simulation of Ising spin systems. J. Comput. Phys. 17(1), 10–18 (1975)
Prados, A., Brey, J.J., Sanchez-Rey, B.: A dynamical monte carlo algorithm for master equations with time-dependent transition rates. J. Stat. Phys. 89(3–4), 709–734 (1997)
Kampen, N.G.V.: Stochastic Processes in Physics and Chemistry. Norht-Holland, Amsterdam (1992)
Marconi, U.M.B., Puglisi, A., Vulpiani, A.: About an H-theorem for systems with non-conservative interactions. J. Stat. Mech. 2013, P08003 (2013)
de Soria, M.I.G., Maynar, P., Mischler, S., Mouhot, C., Rey, T., Trizac, E.: Towards an h-theorem for granular gases. J. Stat. Mech. Theory Exp. 2015(11), P11009 (2015)
Plata, C. A., Manacorda, A., Lasanta, A., Puglisi, A., Prados, A.: Lattice models for granular-like velocity fields: finite size effects. arXiv:1606.09023
McNamara, S.: Hydrodynamic modes of a uniform granular medium. Phys. Fluids A 5, 3056 (1993)
van Noije, T.P.C., Ernst, M.H., Brito, R., Orza, J.A.G.: Mesoscopic theory of granular fluids. Phys. Rev. Lett. 79, 411 (1997)
García de Soria, M.I., Maynar, P., Schehr, G., Barrat, A., Trizac, E.: Dynamics of annihilation i. linearized boltzmann equation and hydrodynamics. Phys. Rev. E 77, 051127 (2008)
Lees, A.W., Edwards, S.F.: The computer study of transport processes under extreme conditions. J. Phys. C Solid State Phys. 5(15), 1921 (1972)
Santos, A., Garzó, V.: Simple shear flow in inelastic maxwell models. J. Stat. Mech. Theory Exp. 2007(08), P08021 (2007)
Santos, A., Garzó, V., Dufty, J.W.: Inherent rheology of a granular fluid in uniform shear flow. Phys. Rev. E 69, 061303 (2004)
Garzó, V.: Transport coefficients for an inelastic gas around uniform shear flow: Linear stability analysis. Phys. Rev. E 73, 021304 (2006)
Kubo, R., Toda, M., Hashitsume, N.: Statistical physics II: Nonequilibrium stastical mechanics. Springer, New York (1991)
García de Soria, M.I., Maynar, P., Trizac, E.: Universal reference state in a driven homogeneous granular gas. Phys. Rev. E 85, 051301 (2012)
García de Soria, M.I., Maynar, P., Trizac, E.: Linear hydrodynamics for driven granular gases. Phys. Rev. E 87, 022201 (2013)
Marconi, U.M.B., Puglisi, A., Rondoni, L., Vulpiani, A.: Fluctuation–dissipation: Response theory in statistical physics. Phys. Rep. 461, 111 (2008)
Prados, A., Trizac, E.: Kovacs-like memory effect in driven granular gases. Phys. Rev. Lett. 112, 198001 (2014)
Trizac, E., Prados, A.: Memory effect in uniformly heated granular gases. Phys. Rev. E 90, 012204 (2014)
Acknowledgments
We acknowledge Pablo Maynar for really helpful discussions. C. A. P. acknowledges the support from the FPU Fellowship Programme of Spanish Ministerio de Educación, Cultura y Deporte through Grant FPU14/00241. C. A. P. and A. Prados acknowledge the support of the Spanish Ministerio de Economía y Competitividad through Grant FIS2014-53808-P.
Author information
Authors and Affiliations
Corresponding author
Appendix: Gaussian Character of the Noises
Appendix: Gaussian Character of the Noises
In the large system size limit \(L\gg 1\), the current noise introduced in the Sect. (5.1) is white. We can introduce a new noise field \(\tilde{\xi }(x,t)\) by
and \(\tilde{\xi }(x,t)\) remains finite in the large system size limit \(L \rightarrow \infty \),
Here we show that all the higher-order cumulants of \(\tilde{\xi }(x,t)\) vanish in the thermodynamic limit as \(L \rightarrow \infty \). Let us consider a cumulant of order n of the microscopic noise \(\xi _{l,p}\) that is equal to the nth order moment of the \(\xi \) plus a sum of nonlinear products of lower moments of \(\xi \). A calculation analogous to the one carried out for the correlation \(\langle \xi ^{(j)}_{l,p}\xi ^{(j)}_{l',p'}\rangle \) shows that the leading behaviour of any moment is of the order of \(L^{-1}\), which is obtained when all the times are the same. Therefore, the moment \(\langle j_{l,p}j_{l',p'}\ldots j_{l^{(n)},p^{(n)}}\rangle \) gives the leading behaviour of the considered cumulant, which is thus of the order of \(L^{-1}\) for \(p=p'= \cdots =p^{(n)}\); any other contribution to the cumulant is at least of the order of \(L^{-2}\). We have that
where \(\langle C_{l,p}\rangle \) is certain average that remains finite in the large system size limit as \(L \rightarrow \infty \). In the continuous limit, each current introduces a factor \(L^{2}\) due to the scaling introduced in Sect. 5. Moreover, we take into account the relationship between Kronecker and Dirac \(\delta \)’s in the continuum limit to write the cumulants \(\langle \langle \cdots \rangle \rangle \) of the rescaled noise introduced in (89) as
Thus, in the limit as \(L \rightarrow \infty \),
and the vanishing of all the cumulants for \(n>2\) means that the momentum current noise is Gaussian in the infinite size limit.
The same procedure can be repeated for the energy current noise, by defining \(\xi ^{(J)}(x,t)=L^{-1/2}\tilde{\eta }(x,t)\)), with the result
In the equation above, \(\langle D(x,t)\rangle \) is a certain average, different from \(\langle C(x,t)\rangle \), but also finite in the large system size limit. Thus, we have that
and the energy current noise also becomes Gaussian in the continuum limit.
Note that the Gaussianity of the noises is independent of the validity of the local equilibrium approximation, which is only needed to write \(\langle C(x,t)\rangle \) and \(\langle D(x,t)\rangle \) in terms of the hydrodynamic fields u(x, t) and T(x, t). Besides, a similar procedure for the dissipation noise gives that the corresponding scaled noise vanishes in the continuum limit, since the power of L in the dominant contribution to the nth order cumulant is \(3-5n/2\) instead of \(3-3n/2\). This means that the dissipation noise is subdominant as compared to the currents noises in the continuum limit, and can be neglected.
Rights and permissions
About this article
Cite this article
Manacorda, A., Plata, C.A., Lasanta, A. et al. Lattice Models for Granular-Like Velocity Fields: Hydrodynamic Description. J Stat Phys 164, 810–841 (2016). https://doi.org/10.1007/s10955-016-1575-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10955-016-1575-z