English

Generating constrained run-and-tumble trajectories

Statistical Mechanics 2021-09-22 v1 Mathematical Physics math.MP Probability

Abstract

We propose a method to exactly generate bridge run-and-tumble trajectories that are constrained to start at the origin with a given velocity and to return to the origin after a fixed time with another given velocity. The method extends the concept of effective Langevin equations, valid for Markovian stochastic processes such as Brownian motion, to a non-Markovian stochastic process driven by a telegraphic noise, with exponentially decaying correlations. We obtain effective space-time dependent tumbling rates that implicitly accounts for the bridge constraint. We extend the method to other types of constrained run-and-tumble particles such as excursions and meanders. The method is implemented numerically and is shown to be very efficient.

Keywords

Cite

@article{arxiv.2106.03385,
  title  = {Generating constrained run-and-tumble trajectories},
  author = {Benjamin De Bruyne and Satya N. Majumdar and Gregory Schehr},
  journal= {arXiv preprint arXiv:2106.03385},
  year   = {2021}
}

Comments

21 pages, 7 figures

R2 v1 2026-06-24T02:53:55.820Z