Non-self-averaging of current in a totally asymmetric simple exclusion process with quenched disorder
Issei Sakai, Takuma Akimoto

TL;DR
This paper studies how the maximum current in a TASEP with quenched disorder varies across different disorder realizations, revealing non-self-averaging behavior and differences from single-particle dynamics.
Contribution
It provides a detailed analysis of the non-self-averaging nature of the maximum current in TASEP with quenched disorder, including theoretical derivations and fluctuation analysis.
Findings
Maximum current depends on disorder realization
Sample-to-sample fluctuations exceed those in low/high-density regimes
Disorder average of maximum current decreases with system size
Abstract
We investigate the current properties in the totally asymmetric simple exclusion process (TASEP) on a quenched random energy landscape. In low- and high-density regimes, the properties are characterized by single-particle dynamics. In the intermediate one, the current becomes constant and is maximized. Based on the renewal theory, we derive accurate results for the maximum current. The maximum current significantly depends on a disorder realization, i.e., non-self-averaging (SA). We demonstrate that the disorder average of the maximum current decreases with the system size, and the sample-to-sample fluctuations of the maximum current exceed those of current in the low- and high-density regimes. We find a significant difference between single-particle dynamics and the TASEP. In particular, the non-SA behavior of the maximum current is always observed, whereas the transition from non-SA…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Theoretical and Computational Physics · Complex Network Analysis Techniques
