Dynamical phase transitions in long-range Hamiltonian systems and Tsallis distributions with a time-dependent index
Abstract
We study dynamical phase transitions in systems with long-range interactions, using the Hamiltonian Mean Field (HMF) model as a simple example. These systems generically undergo a violent relaxation to a quasi-stationary state (QSS) before relaxing towards Boltzmann equilibrium. In the collisional regime, the out-of-equilibrium one-particle distribution function (DF) is a quasi-stationary solution of the Vlasov equation, slowly evolving in time due to finite effects. For subcritical energies , we exhibit cases where the DF is well-fitted by a Tsallis -distribution with an index slowly decreasing in time from (semi-ellipse) to (Boltzmann). When the index reaches a critical value , the non-magnetized (homogeneous) phase becomes Vlasov unstable and a dynamical phase transition is triggered, leading to a magnetized (inhomogeneous) state. While Tsallis distributions play an important role in our study, we explain this dynamical phase transition by using only conventional statistical mechanics. For supercritical energies, we report for the first time the existence of a magnetized QSS with a very long lifetime.
Cite
@article{arxiv.0807.0324,
title = {Dynamical phase transitions in long-range Hamiltonian systems and Tsallis distributions with a time-dependent index},
author = {Alessandro Campa and Pierre-Henri Chavanis and Andrea Giansanti and Gianluca Morelli},
journal= {arXiv preprint arXiv:0807.0324},
year = {2009}
}
Comments
5 pages, 3 figures, few stylistic changes from previous version