Asymmetric simple exclusion process on a random comb: Transport properties in the stationary state
Mrinal Sarkar, Shamik Gupta

TL;DR
This paper studies the asymmetric simple exclusion process on a disordered comb lattice, revealing how particle density and bias influence stationary states and transport properties, with non-monotonic drift velocity behavior and effective reduction of branch lengths.
Contribution
It introduces a model of ASEP on a random comb with exponential branch length distribution and analyzes its stationary density and transport properties, highlighting non-monotonic drift velocity dependence.
Findings
Density is uniform along the backbone but varies along branches.
Drift velocity initially increases then decreases with bias, becoming monotonic at higher densities.
Long-term occupation of branch ends reduces effective branch length and alters transport dynamics.
Abstract
We address the dynamics of interacting particles on a disordered lattice formed by a random comb. The dynamics comprises that of the asymmetric simple exclusion process, whereby motion to nearest-neighour sites that are empty is more likely in the direction of a bias than in the opposite direction. The random comb comprises a backbone lattice from each site of which emanates a branch with a random number of sites. The backbone and the branches run in the direction of the bias. The number of branch sites or alternatively the branch lengths are sampled independently from a common distribution, specifically, an exponential distribution. The system relaxes at long times into a nonequilibrium stationary state. We analyse the stationary-state density of sites across the random comb, and also explore the transport properties, in particular, the stationary-state drift velocity of particles…
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 · Random Matrices and Applications · Theoretical and Computational Physics
