English

Transport properties of diffusive particles conditioned to survive in trapping environments

Statistical Mechanics 2022-11-28 v1 Probability

Abstract

We consider a one-dimensional Brownian motion with diffusion coefficient DD in the presence of nn partially absorbing traps with intensity β\beta, separated by a distance LL and evenly spaced around the initial position of the particle. We study the transport properties of the process conditioned to survive up to time tt. We find that the surviving particle first diffuses normally, before it encounters the traps, then undergoes a period of transient anomalous diffusion, after which it reaches a final diffusive regime. The asymptotic regime is governed by an effective diffusion coefficient DeffD_\text{eff}, which is induced by the trapping environment and is typically different from the original one. We show that when the number of traps is \emph{finite}, the environment enhances diffusion and induces an effective diffusion coefficient that is systematically equal to Deff=2DD_\text{eff}=2D, independently of the number of the traps, the trapping intensity β\beta and the distance LL. On the contrary, when the number of traps is \emph{infinite}, we find that the environment inhibits diffusion with an effective diffusion coefficient that depends on the traps intensity β\beta and the distance LL through a non-trivial scaling function Deff=DF(βL/D)D_\text{eff}=D \mathcal{F}(\beta L/D), for which we obtain a closed-form. Moreover, we provide a rejection-free algorithm to generate surviving trajectories by deriving an effective Langevin equation with an effective repulsive potential induced by the traps. Finally, we extend our results to other trapping environments.

Keywords

Cite

@article{arxiv.2207.06865,
  title  = {Transport properties of diffusive particles conditioned to survive in trapping environments},
  author = {Gaia Pozzoli and Benjamin De Bruyne},
  journal= {arXiv preprint arXiv:2207.06865},
  year   = {2022}
}

Comments

28 pages, 10 figures