English

Non-self-averaging behaviors and ergodicity in quenched trap model with finite system size

Statistical Mechanics 2019-01-04 v3

Abstract

Tracking tracer particles in heterogeneous environments plays an important role in unraveling the material properties. These heterogeneous structures are often static and depend on the sample realizations. Sample-to-sample fluctuations of such disorder realizations sometimes become considerably large. When we investigate the sample-to-sample fluctuations, fundamental averaging procedures are a thermal average for a single disorder realization and the disorder average for different disorder realizations. Here, we report on non-self-averaging phenomena in quenched trap models with finite system sizes, where we consider the periodic and the reflecting boundary conditions. Sample-to-sample fluctuations of diffusivity greatly exceeds trajectory-to-trajectory fluctuations of diffusivity in the corresponding annealed model. For a single disorder realization, the time-averaged mean square displacement and position-dependent observables converge to constants with the aid of the existence of the equilibrium distribution. This is a manifestation of ergodicity. As a result, the time-averaged quantities do not depend on the initial condition nor on the thermal histories but depend crucially on the disorder realization.

Keywords

Cite

@article{arxiv.1802.06524,
  title  = {Non-self-averaging behaviors and ergodicity in quenched trap model with finite system size},
  author = {Takuma Akimoto and Eli Barkai and Keiji Saito},
  journal= {arXiv preprint arXiv:1802.06524},
  year   = {2019}
}

Comments

12 pages, 7 figures