Generalised density profiles in single-file systems
Alexis Poncet, Aur\'elien Grabsch, Pierre Illien, and Olivier, B\'enichou

TL;DR
This paper introduces and analytically determines generalized density profiles in single-file diffusion, revealing universal scaling laws and correlations between tracer position and bath particle density in various models.
Contribution
It extends the analysis of single-file diffusion by providing exact analytical expressions for generalized density profiles, capturing tracer-bath correlations beyond the tracer alone.
Findings
Universal scaling properties of GDPs with space and time
Non-monotonic dependence of GDPs on distance to tracer
Exact results for paradigmatic models like SEP and RAP
Abstract
Single-file diffusion refers to the motion in narrow channels of particles which cannot bypass each other. These strong correlations between particles lead to tracer subdiffusion, which has been observed in contexts as varied as transport in porous media, zeolites or confined colloidal suspensions, and theoretically studied in numerous works. Most approaches to this celebrated many-body problem were restricted to the description of the tracer only, whose essential properties, such as large deviation functions or two-time correlation functions, were determined only recently. Here, we go beyond this standard description by introducing and determining analytically generalised density profiles (GDPs) in the frame of the tracer. In addition to controlling the statistical properties of the tracer, these quantities fully characterise the correlations between the tracer position and the bath…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Theoretical and Computational Physics · Markov Chains and Monte Carlo Methods
