Large deviation function of a tracer position in single file diffusion
Tridib Sadhu, Bernard Derrida

TL;DR
This paper derives the large deviation function for a tracer's displacement in single file diffusion, revealing how it can be computed via a non-interacting particle mapping and extending understanding of multi-time correlations.
Contribution
It introduces a method to compute the large deviation function for tracer displacement in single file diffusion using a mapping to non-interacting particles, and explores the relation between quenched and annealed distributions.
Findings
Large deviation function can be obtained through a non-interacting particle mapping.
Confirmed previous results on one-time displacement distribution.
Established a relation between tracer and current distributions in quenched case.
Abstract
Diffusion of impenetrable particles in a crowded one-dimensional channel is referred as the single file diffusion. The particles do not pass each other and the displacement of each individual particle is sub-diffusive. We analyse a simple realization of this single file diffusion problem where one dimensional Brownian point particles interact only by hard-core repulsion. We show that the large deviation function which characterizes the displacement of a tracer at large time can be computed via a mapping to a problem of non-interacting Brownian particles. We confirm recently obtained results of the one time distribution of the displacement and show how to extend them to the multi-time correlations. The probability distribution of the tracer position depends on whether we take annealed or quenched averages. In the quenched case we notice an exact relation between the distribution of the…
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