A Test for Determining a Subdiffusive Model in Ergodic Systems from Single Trajectories
Disordered Systems and Neural Networks
2015-06-11 v1 Mathematical Physics
math.MP
Abstract
Experiments on particles' motion in living cells show that it is often subdiffusive. This subdiffusion may be due to trapping, percolation-like structures, or viscoelatic behavior of the medium. While the models based on trapping (leading to continuous-time random walks) can easily be distinguished from the rest by testing their non-ergodicity, the latter two cases are harder to distinguish. We propose a statistical test for distinguishing between these two based on the space-filling properties of trajectories, and prove its feasibility and specificity using synthetic data. We moreover present a flow-chart for making a decision on a type of subdiffusion for a broader class of models.
Cite
@article{arxiv.1210.2344,
title = {A Test for Determining a Subdiffusive Model in Ergodic Systems from Single Trajectories},
author = {Yasmine Meroz and Igor M. Sokolov and Joseph Klafter},
journal= {arXiv preprint arXiv:1210.2344},
year = {2015}
}