English

Non-Gaussian normal diffusion induced by delocalization

Disordered Systems and Neural Networks 2016-04-06 v1 Statistical Mechanics Chaotic Dynamics Classical Physics Computational Physics

Abstract

The non-Gaussian normal diffusion, i.e., the probability distribution function (PDF) is non-Gaussian but the mean squared displacement (MSD) depends on time linearly, has been observed in particle motions. Here we show by numerical simulations that this phenomenon may manifest in energy diffusion along lattices at a non-zero, finite temperature. The model we study is one-dimensional disordered lattices with on-site potential. We find that the energy-density fluctuations are spatially localized if the nonlinear interaction is suppressed, but may relax with a non-Gaussian PDF and a linear time-dependent MSD when the nonlinear interaction is turned on. Our analysis suggests that the mechanism lies in the delocalization properties of the localized modes.

Keywords

Cite

@article{arxiv.1511.00765,
  title  = {Non-Gaussian normal diffusion induced by delocalization},
  author = {Jianjin Wang and Yong Zhang and Hong Zhao},
  journal= {arXiv preprint arXiv:1511.00765},
  year   = {2016}
}

Comments

4 pages, 4 figures

R2 v1 2026-06-22T11:35:20.257Z