Tracer dynamics in the active random average process

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Hauptverfasser: Santra, Saikat, Singh, Prashant, Kundu, Anupam
Format: Preprint
Veröffentlicht: 2023
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author Santra, Saikat
Singh, Prashant
Kundu, Anupam
author_facet Santra, Saikat
Singh, Prashant
Kundu, Anupam
contents We investigate the dynamics of tracer particles in the random average process (RAP), a single-file system in one dimension. In addition to the position, every particle possesses an internal spin variable $σ(t)$ that can alternate between two values, $\pm 1$, at a constant rate $γ$. Physically, the value of $σ(t)$ dictates the direction of motion of the corresponding particle and for finite $γ$, every particle performs a non-Markovian active dynamics. Herein, we study the effect of this non-Markovianity in the fluctuations and correlations of the positions of tracer particles. We analytically show that the variance of the position of a tagged particle grows sub-diffusively as $\sim ζ_{\text{q}} \sqrt{t}$ at large times for the quenched uniform initial condition. While this sub-diffusive growth is identical to that of the Markovian/non-persistent RAP, the coefficient $ζ_{\text{q}} $ is rather different and bears the signature of the persistent motion of active particles through higher point correlations (unlike in the Markovian case). Similarly, for the annealed (steady state) initial condition, we find that the variance scales as $\sim ζ_{\text{a}} \sqrt{t}$ at large times with coefficient $ζ_{\text{a}} $ once again different from the non-persistent case. Although $ζ_{\text{q}}$ and $ζ_{\text{a}} $ both individually depart from their Markov counterparts, their ratio $ζ_{\text{a}} / ζ_{\text{q}}$ is still equal to $\sqrt{2}$, a condition observed for other diffusive single-file systems. This condition turns out to be true even in the strongly active regimes as corroborated by extensive simulations and calculations. Finally, we study the correlation between the positions of two tagged particles in both quenched uniform and annealed initial conditions. We verify all our analytic results by extensive numerical simulations.
format Preprint
id arxiv_https___arxiv_org_abs_2307_09908
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Tracer dynamics in the active random average process
Santra, Saikat
Singh, Prashant
Kundu, Anupam
Statistical Mechanics
Mathematical Physics
We investigate the dynamics of tracer particles in the random average process (RAP), a single-file system in one dimension. In addition to the position, every particle possesses an internal spin variable $σ(t)$ that can alternate between two values, $\pm 1$, at a constant rate $γ$. Physically, the value of $σ(t)$ dictates the direction of motion of the corresponding particle and for finite $γ$, every particle performs a non-Markovian active dynamics. Herein, we study the effect of this non-Markovianity in the fluctuations and correlations of the positions of tracer particles. We analytically show that the variance of the position of a tagged particle grows sub-diffusively as $\sim ζ_{\text{q}} \sqrt{t}$ at large times for the quenched uniform initial condition. While this sub-diffusive growth is identical to that of the Markovian/non-persistent RAP, the coefficient $ζ_{\text{q}} $ is rather different and bears the signature of the persistent motion of active particles through higher point correlations (unlike in the Markovian case). Similarly, for the annealed (steady state) initial condition, we find that the variance scales as $\sim ζ_{\text{a}} \sqrt{t}$ at large times with coefficient $ζ_{\text{a}} $ once again different from the non-persistent case. Although $ζ_{\text{q}}$ and $ζ_{\text{a}} $ both individually depart from their Markov counterparts, their ratio $ζ_{\text{a}} / ζ_{\text{q}}$ is still equal to $\sqrt{2}$, a condition observed for other diffusive single-file systems. This condition turns out to be true even in the strongly active regimes as corroborated by extensive simulations and calculations. Finally, we study the correlation between the positions of two tagged particles in both quenched uniform and annealed initial conditions. We verify all our analytic results by extensive numerical simulations.
title Tracer dynamics in the active random average process
topic Statistical Mechanics
Mathematical Physics
url https://arxiv.org/abs/2307.09908