Single file dynamics of tethered random walkers
Santos Bravo Yuste, A. Baumgaertner, E. Abad

TL;DR
This paper analyzes the dynamics of tethered random walkers in one dimension, revealing how their constrained separation affects relaxation, distribution, and effective diffusivity, with implications for polymer-like behavior.
Contribution
It introduces a novel model of tethered walkers with maximum separation, providing analytical solutions, approximations, and simulations for their dynamics and equilibrium properties.
Findings
Relaxation time scales as (NΔ)^2/D.
Edge particles have an effective diffusivity D/N.
System behaves like an ideal polymer with entropic spring constant 6kBT/(NΔ^2).
Abstract
We consider the single-file dynamics of identical random walkers moving with diffusivity in one dimension (walkers bounce off each other when attempting to overtake). Additionally, we require that the separation between neighboring walkers cannot exceed a threshold value and therefore call them ``tethered walkers'' (they behave as if bounded by strings which tighten fully when reaching the maximum length ). For finite , we study the diffusional relaxation to the equilibrium state and characterize the latter [the long-time relaxation is exponential with a characteristic time that scales as ]. In particular, our approximate approach for the -particle probability distribution yields the one-particle distribution function of the central and edge particles [the first two positional moments are given as power expansions in…
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