English

Finite-size effects and intermittency in a simple aging system

Disordered Systems and Neural Networks 2016-08-31 v2

Abstract

We study the intermittent dynamics and the fluctuations of the dynamic correlation function of a simple aging system. Given its size LL and its coherence length ξ\xi, the system can be divided into NN independent subsystems, where N=(Lξ)dN=(\frac{L}{\xi})^d, and dd is the dimension of space. Each of them is considered as an aging subsystem which evolves according to an activated dynamics between energy levels. We compute analytically the distribution of trapping times for the global system, which can take power-law, stretched-exponential or exponential forms according to the values of NN and the regime of times considered. An effective number of subsystems at age twt_w, Neff(tw)N_{eff}(t_w), can be defined, which decreases as twt_w increases, as well as an effective coherence length, ξ(tw)tw(1μ)/d\xi(t_w) \sim t_w^{(1-\mu)/d}, where μ<1\mu <1 characterizes the trapping times distribution of a single subsystem. We also compute the probability distribution functions of the time intervals between large decorrelations, which exhibit different power-law behaviours as twt_w increases (or NN decreases), and which should be accessible experimentally. Finally, we calculate the probability distribution function of the two-time correlator. We show that in a phenomenological approach, where NN is replaced by the effective number of subsystems Neff(tw)N_{eff}(t_w), the same qualitative behaviour as in experiments and simulations of several glassy systems can be obtained.

Keywords

Cite

@article{arxiv.cond-mat/0409323,
  title  = {Finite-size effects and intermittency in a simple aging system},
  author = {Estelle Pitard},
  journal= {arXiv preprint arXiv:cond-mat/0409323},
  year   = {2016}
}

Comments

15 pages, 6 figures, published version