English

Aging Continuous Time Random Walks

Statistical Mechanics 2009-11-07 v1 Disordered Systems and Neural Networks

Abstract

We investigate aging continuous time random walks (ACTRW), introduced by Monthus and Bouchaud [{\em J. Phys. A} {\bf 29}, 3847 (1996)]. Statistical behaviors of the displacement of the random walker r=r(t)r(0){\bf r}={\bf r}(t) - {\bf r}(0) in the time interval (0,t)(0,t) are obtained, after aging the random walk in the time interval (ta,0)(-t_a,0). In ACTRW formalism, the Green function P(r,ta,t)P({\bf r}, t_a, t) depends on the age of the random walk tat_a and the forward time tt. We derive a generalized Montroll--Weiss equation, which yields an exact expression for the Fourier double Laplace transform of the ACTRW Green function. Asymptotic long times tat_a and tt behaviors of the Green function are investigated in detail. In the limit of ttat\gg t_a, we recover the standard non-equilibrium CTRW behaviors, while the important regimes ttat\ll t_a and ttat \simeq t_a exhibit interesting aging effects. Convergence of the ACTRW results towards CTRW behavior, becomes extremely slow when the diffusion exponent becomes small. In the context of biased ACTRW, we investigate an aging Einstein relation. We briefly discuss aging in Scher-Montroll type of transport in disordered materials.

Keywords

Cite

@article{arxiv.cond-mat/0211386,
  title  = {Aging Continuous Time Random Walks},
  author = {Eli Barkai and Yuan-Chung Cheng},
  journal= {arXiv preprint arXiv:cond-mat/0211386},
  year   = {2009}
}