Title:	Statistics of overtake events by a tagged agent
Authors:	Das, Santanu Dhar, Deepak Sabhapandit, Sanjib
Issue Date:	20-Nov-2018
Publisher:	American Physical Society
Citation:	Physical Review E, 2017, Vol.98, p052122
Abstract:	We consider a minimalist model of overtaking dynamics in one dimension. On each site of a one-dimensional infinite lattice sits an agent carrying a random number specifying the agent's preferred velocity, which is drawn initially for each agent independently from a common distribution. The time evolution is Markovian, where a pair of agents at adjacent sites exchange their positions with a specified rate, while retaining their respective preferred velocities, only if the preferred velocity of the agent on the “left” site is higher. We discuss two different cases: one in which a pair of agents at sites i and i + 1 exchange their positions with rate 1, independent of their velocity difference, and another in which a pair exchange their positions with a rate equal to the modulus of the velocity difference. In both cases, we find that the net number of overtake events by a tagged agent in a given duration t, denoted by m(t), increases linearly with time t, for large t. In the first case, for a randomly picked agent, m/t, in the limit t→∞, is distributed uniformly on [−1,1], independent of the distributions of preferred velocities. In the second case, the distribution is given by the distribution of the preferred velocities itself, with a Galilean shift by the mean velocity. We also find the large time approach to the limiting forms and compare the results with numerical simulations.
Description:	Open Access
URI:	http://hdl.handle.net/2289/7094
ISSN:	2470-0053 (Online) 2470-0045
Alternative Location:	http://adsabs.harvard.edu/abs/2018PhRvE..98e2122D https://doi.org/10.1103/PhysRevE.98.052122 https://arxiv.org/abs/1804.07280
Copyright:	2018 American Physical Society
Appears in Collections:	Research Papers (TP)

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