Unexpected Effects of Disorder on Current Fluctuations in the Symmetric Simple Exclusion Process
Issei Sakai, Takuma Akimoto

TL;DR
This paper investigates how disorder affects current fluctuations in the symmetric simple exclusion process, revealing unexpected asymmetric density dependence and the significant influence of energy landscapes on current variability.
Contribution
It provides the first exact expression for current fluctuations in SSEP with a defect and introduces an approximate method for disordered environments.
Findings
Second moment of current deviates from homogeneous case
Asymmetric density dependence observed around density 1/2
Energy landscape significantly impacts current fluctuations
Abstract
We explore how the disorder impacts the current fluctuations in the symmetric simple exclusion process (SSEP) within a heterogeneous environment. First, we analyze the SSEP with a defect site under the periodic boundary conditions. We derive the exact expression for the second moment of the current and observe deviations from that of the homogeneous system. Notably, the second moment of the current shows asymmetric density dependence around a density of 1/2 and surpassing that of the homogeneous system in the low-density region. Furthermore, based on the finding from the SSEP with a defect site, we present an approximate derivation of the second moment of the current in the SSEP on a quenched random energy landscape using a partial-mean-field approach. The second moment of the current is heavily influenced by the energy landscape, revealing unique effects arising from the interplay…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and statistical mechanics · Advanced Thermodynamics and Statistical Mechanics · Theoretical and Computational Physics
