Abstract
In this chapter we introduce the dissipation function, and discuss the behaviour of its extrema. The dissipation function allows the reversibility of a nonequilibrium process to be quantified for systems arbitrarily close to or far from equilibrium. For a system out of equilibrium, the average dissipation over a period, t, will be positive. For field driven flow in the thermodynamic and small field limits, the dissipation function becomes proportional to the rate of entropy production from linear irreversible thermodynamics. It can therefore be considered as an entropy-like quantity that remains useful far from equilibrium and for relaxation processes. The dissipation function also appears in three important theorems in nonequilibrium statistical mechanics: the fluctuation theorem, the dissipation theorem and the relaxation theorem. In this chapter we introduce the dissipation function and the theorems, and show how they quantify the emergence of irreversible behaviour in perturbed, steady state, and relaxing nonequilibrium systems. We also examine the behaviour of the dissipation function in terms of the extrema of the function using numerical and analytical approaches.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Note that this is often trivially satisfied in a stochastic system.
- 2.
Outside of equilibrium, microscopic temperature expressions are ill defined. Often expressions such as the kinetic temperature (the equipartition expression in momenta) or configurational temperature (a similar expression in position) are used, however these expressions only correspond to the temperature of the system, and each other, at equilibrium [15].
- 3.
- 4.
Note that a special case of this relation was derived much earlier, see [21] for details.
- 5.
We note that \( - \int_{0}^{ - t} \varOmega (\varvec{\varGamma }(s))ds = \int_{0}^{t} \varOmega (\varvec{\varGamma }^{*} (s))ds \) if the dynamics are time reversible and that \( \int \varOmega (\varvec{\varGamma }^{*} ,s)f(\varvec{\varGamma })d\varvec{\varGamma } = \int \varOmega (\varvec{\varGamma }^{*} ,s)f(\varvec{\varGamma }^{*} )d\varvec{\varGamma }^{*} = \left\langle {\varOmega (s)} \right\rangle \) since the probability of observing ensemble members is constant (\( f(\varvec{\varGamma })d\varvec{\varGamma } = f(\varvec{\varGamma }^{*} )d\varvec{\varGamma }^{*} \), see [1]). We assume that the system eventually relaxes to an equilibrium state, \( f_{2} (\varvec{\varGamma }) = \mathop {\lim }\nolimits_{t \to \infty } \ln f(\varvec{\varGamma },t) \). From Eq. (2.7), \( \mathop {\lim }\nolimits_{t \to \infty } \ln f(\varvec{\Upgamma},t) = \mathop {\lim }\nolimits_{t \to \infty } ( - \int_{0}^{ - t} \Upomega (\varvec{\varGamma }(s))ds + \ln f(\varvec{\varGamma },0)) \), which can be expressed \( \ln f_{2} (\varvec{\varGamma }) = \int_{0}^{\infty } \varOmega (\varvec{\varGamma }^{*} (s))ds + \ln f_{1} (\varvec{\varGamma }) \). Then taking the ensemble average with respect to the initial distribution function we obtain \( \left\langle {\ln f_{2} } \right\rangle_{{f_{1} }} = \left\langle {\varOmega_{\infty } } \right\rangle_{{f_{1} }} + \left\langle {\ln f_{1} } \right\rangle_{{f_{1} }}. \)
- 6.
A conformal system relaxes such that the nonequilibrium distribution is of the form (\( f(\varvec{\varGamma },t) = \exp ( - \beta H(\varvec{\varGamma }) + \lambda (t)g(\varvec{\varGamma }))/Z,\forall t \)) and the deviation function, \( g \), is a constant over the relaxation.
- 7.
Strictly a system relaxes as time tends towards infinity, but in practice at \( t_{eq} \) the system has relaxed.
- 8.
Simulation parameters: 50 Fluid particles, 22 Wall particles, TÂ =Â 1, \( \rho = 0.3 \), 100,000 trajectories.
- 9.
Simulation parameters: 64 Fluid particles, 64 Wall particles, TÂ =Â 1, \( \rho = 0.8 \), 100,000 Trajectories.
References
Evans, D.J., Williams, S.R., Searles, D.J.: J. Chem. Phys. 135, 194107 (2011)
de Groot, S., Mazur, P.: Non-Equilibrium Thermodynamics. Dover Books on Physics. Dover Publications, NY (1984)
Evans, D.J., Searles, D.J.: Adv. Phys. 51, 1529 (2002)
Reid, J.C., Sevick, E.M., Evans, D.J.: Europhys. Lett. 72, 726 (2005)
Kurchan, J.: J. Phys. A: Math. Gen. 31, 3719 (1998)
Lebowitz, J.L., Spohn, H.: J. Stat. Phys. 95, 333 (1999)
Monnai, T.: Phys. Rev. E 72, 027102 (2005)
Evans, D.J., Searles, D.J.: Phys. Rev. E 50, 1645 (1994)
Maxwell, J.: Nature 17, 278 (1878)
Broda, E., Gay, L.: Ludwig Boltzmann: man, physicist, philosopher. Ox Bow Press, Woodbridge (1983). Translating: L. Boltzmann, Re-joinder to the Heat Theoretical Considerations of Mr E. Zermelo (1896)
Searles, D.J., Evans, D.J.: Aust. J. Chem. 57, 1119 (2004)
Carberry, D.M., Reid, J.C., Wang, G.M., Sevick, E.M., Searles, D.J., Evans, D.J.: Phys. Rev. Lett. 92, 140601 (2004)
Joubaud, S., Garnier, N.B., Ciliberto, S.: J. Stat. Mech: Theory Exp. 2007, P09018 (2007)
Garnier, N., Ciliberto, S.: Phys. Rev. E 71, 060101 (2005)
Jepps, O.G., Ayton, G., Evans, D.J.: Phys. Rev. E 62, 4757 (2000)
Evans, D.J., Searles, D.J., Williams, S.R.: J. Chem. Phys. 128, 014504 (2008)
Evans, D.J., Searles, D.J., Williams, S.R.: J. Stat. Mech: Theory Exp. 2009, P07029 (2009)
Evans, D.J., Searles, D.J., Williams, S.R.: Diffusion fundamentals III. In: Chmelik, C., Kanellopoulos, N., Karger, J., Theodorou, D. (eds.), pp. 367–374. Leipziger Universitats Verlag, Leipzig (2009)
Williams, S.R., Evans, D.J.: Phys. Rev. E 78, 021119 (2008)
Evans, D.J., Williams, S.R., Searles, D,J.: Nonlinear dynamics of nanosystems. In: Radons, G., Rumpf, B., Schuster, H. (eds.), pp. 84–86. Wiley-VCH, NJ (2010)
Evans, D.J., Morriss, G.P.: Statistical Mechanics of Nonequilibrium Liquids. Cambridge Unviersity Press, Cambridge (2008)
Todd, B.D.: Phys. Rev. E 56, 6723 (1997)
Desgranges, C., Delhommelle, J.: Mol. Simul. 35(5), 405 (2009)
Brookes, S.J., Reid, J.C., Evans, D.J., Searles, D.J.: J. Phys: Conf. Ser. 297, 012017 (2011)
Hartkamp, R., Bernardi, S., Todd, B.D.: J. Chem. Phys. 136, 064105 (2012)
Evans, D.J., Searles, D.J., Williams, S.R.: J. Chem. Phys. 132, 024501 (2010)
Reid, J.C., Evans, D.J., Searles, D.J.: J. Chem. Phys. 136, 021101 (2012)
Dewar, R.: J. Phys. A: Math. Gen. 36, 631 (2003)
Dewar, R.C.: Entropy 11, 931 (2009)
Dewar, R.C.: J. Phys. A: Math. Gen. 38, L371 (2005)
Hoover, W.G.: J. Stat. Phys. 42, 587 (1986)
Evans, D.J.: Phys. Rev. A 32, 2923 (1985)
Lorenz, R.: Science 299, 837 (2003)
Weeks, J.D., Chandler, D., Andersen, H.C.: J. Chem. Phys. 54, 5237 (1971)
Kröger, M.: Phys. Rep. 390, 453 (2004)
Williams, S.R., Evans, D.J., Mittag, E.: C.R. Phys. 8, 620 (2007)
Zhang, F., Isbister, D.J., Evans, D.J.: Phys. Rev. E 64, 021102 (2001)
Cui, S.T., Evans, D.J.: Mol. Simul. 9, 179 (1992)
Meiburg, E.: Phys. Fluids 29, 3107 (1986)
Dzwinel, W., Alda, W., Pogoda, M., Yuen, D.: Physica D 137, 157 (2000)
Kadau, K., Germann, T.C., Hadjiconstantinou, N.G., Lomdahl, P.S., Dimonte, G., Holian, B.L., Alder, B.J.: Proc. Natl. Acad. Sci. U.S.A. 101, 5851 (2004)
Hoover, W.G.: Lecture Notes in Physics 258, Molecular Dynamics. Springer, London (1986)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Reid, J.C., Brookes, S.J., Evans, D.J., Searles, D.J. (2014). The Dissipation Function: Its Relationship to Entropy Production, Theorems for Nonequilibrium Systems and Observations on Its Extrema. In: Dewar, R., Lineweaver, C., Niven, R., Regenauer-Lieb, K. (eds) Beyond the Second Law. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40154-1_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-40154-1_2
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40153-4
Online ISBN: 978-3-642-40154-1
eBook Packages: EngineeringEngineering (R0)