English

Evaluating linear response in active systems with no perturbing field

Soft Condensed Matter 2017-05-24 v2 Statistical Mechanics

Abstract

We present a method for the evaluation of time-dependent linear response functions for systems of active Ornstein-Uhlenbeck particles from unperturbed simulations. The method is inspired by the Malliavin weights sampling method proposed by Warren and Allen [Phys. Rev. Lett. 109, 250601 (2012)] for systems of Brownian particles. We illustrate our method by evaluating a linear response function for a single active particle in an external harmonic potential. As an application, we calculate the time-dependent mobility function and an effective temperature, defined through the Einstein relation between the self-diffusion and mobility coefficients, for a system of active particles interacting via a screened-Coulomb potential. We find that this effective temperature decreases with increasing persistence time of the self-propulsion. Initially, for not too large persistence times, it changes rather slowly, but then it decreases markedly when the persistence length of the self-propelled motion becomes comparable with the particle size.

Keywords

Cite

@article{arxiv.1607.00326,
  title  = {Evaluating linear response in active systems with no perturbing field},
  author = {Grzegorz Szamel},
  journal= {arXiv preprint arXiv:1607.00326},
  year   = {2017}
}

Comments

Final version accepted in EPL

R2 v1 2026-06-22T14:40:58.395Z