English

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.

Keywords

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}
}
R2 v1 2026-06-21T22:18:10.487Z