English

Generalised `Arcsine' laws for run-and-tumble particle in one dimension

Statistical Mechanics 2020-10-07 v2

Abstract

The 'Arcsine' laws of Brownian particles in one dimension describe distributions of three quantities: the time tmt_m to reach maximum position, the time trt_r spent on the positive side and the time tt_\ell of the last visit to the origin. Interestingly, the cumulative distribution of all the three quantities are same and given by Arcsine function. In this paper, we study distribution of these three times tm, trt_m,~t_r and tt_\ell in the context of single run-and-tumble particle in one dimension, which is a simple non-Markovian process. We compute exact distributions of these three quantities for arbitrary time and find that all three distributions have delta function part and a non-delta function part. Interestingly, we find that the distributions of tmt_m and trt_r are identical (reminiscent of the Brownian particle case) when the initial velocities of the particle are chosen with equal probability. On the other hand, for tt_\ell, only the non-delta function part is same with the other two. In addition, we find explicit expressions of the joint distributions of the maximum displacement and the time at which this maxima occurs. We verify all our analytical results through numerical simulations.

Keywords

Cite

@article{arxiv.1906.09442,
  title  = {Generalised `Arcsine' laws for run-and-tumble particle in one dimension},
  author = {Prashant Singh and Anupam Kundu},
  journal= {arXiv preprint arXiv:1906.09442},
  year   = {2020}
}

Comments

32 pages, 15 figures, Corrected typos