Nonlinear Sciences – Chaotic Dynamics
Scientific paper
2005-07-20
Physica A 385(1), pp 170-184 (2007)
Nonlinear Sciences
Chaotic Dynamics
21 pages, 11 figures, submitted to Journal of Statistical Physics
Scientific paper
10.1016/j.physa.2007.06.036
We introduce a high dimensional symplectic map, modeling a large system consisting of weakly interacting chaotic subsystems, as a toy model to analyze the interplay between single-particle chaotic dynamics and particles interactions in thermodynamic systems. We study the growth with time of the Boltzmann entropy, S_B, in this system as a function of the coarse graining resolution. We show that a characteristic scale emerges, and that the behavior of S_B vs t, at variance with the Gibbs entropy, does not depend on the coarse graining resolution, as far as it is finer than this scale. The interaction among particles is crucial to achieve this result, while the rate of entropy growth depends essentially on the single-particle chaotic dynamics (for t not too small). It is possible to interpret the basic features of the dynamics in terms of a suitable Markov approximation.
Falcioni Massimo
Palatella Luigi
Pigolotti Simone
Rondoni Lamberto
Vulpiani Angelo
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