Random walk with horizontal and cyclic currents
Joanna Li, Matthew Gerry, Israel Klich, Dvira Segal

TL;DR
This paper introduces a minimal two-chain random walk model with horizontal and cyclic currents, analyzing how flux fluctuations reveal the system's structure, parameters, and nonequilibrium conditions, with potential applications in various transport systems.
Contribution
It derives the cumulant generating function for the model and demonstrates how flux fluctuations can uncover system parameters and nonequilibrium states.
Findings
Horizontal and cyclic currents reveal system structure.
Fluctuations indicate nonequilibrium conditions.
Simulation allows extraction of interchain hopping rate.
Abstract
We construct a minimal two-chain random walk model and study the information that fluctuations of the flux and higher cumulants can reveal about the model: its structure, parameters, and whether it operates under nonequilibrium conditions. The two coupled chains allow for both horizontal and cyclic transport. We capture these processes by deriving the cumulant generating function of the system, which characterizes both horizontal and cyclic transport in the long time limit. First, we show that either the horizontal or the cyclic currents, along with their higher-order cumulants, can be used to unravel the intrinsic structure and parameters of the model. Second, we investigate the "zero current" situation, in which the {\it horizontal} current vanishes. We find that fluctuations of the horizontal current reveal the nonequilibrium condition at intermediate bias, while the cyclic current…
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Taxonomy
TopicsComplex Network Analysis Techniques · Software Engineering Research · Statistical Mechanics and Entropy
