English

Dynamical phase transitions in long-range Hamiltonian systems and Tsallis distributions with a time-dependent index

Statistical Mechanics 2009-11-13 v2

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 NN effects. For subcritical energies 7/12<U<3/47/12<U<3/4, we exhibit cases where the DF is well-fitted by a Tsallis qq-distribution with an index q(t)q(t) slowly decreasing in time from q3q\simeq 3 (semi-ellipse) to q=1q=1 (Boltzmann). When the index q(t)q(t) reaches a critical value qcrit(U)q_{crit}(U), 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.

Keywords

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

R2 v1 2026-06-21T10:56:43.831Z