Open interacting particle systems and Ising measures
Ngo P.N. Ngoc, Gunter M. Sch\"utz

TL;DR
This paper surveys open questions in stochastic interacting particle systems with open boundaries, introduces a generalized asymmetric exclusion process, proves invariance of the Ising measure, and discusses phase transitions and current reversal phenomena.
Contribution
It introduces a generalized asymmetric exclusion process with open boundaries, proves invariance of the Ising measure, and analyzes phase transitions and current reversal in this context.
Findings
Invariance of the one-dimensional Ising measure is established.
Explicit computation of the stationary current reveals current reversal at certain densities.
The phase diagram for boundary-induced phase transitions is conjectured based on the extremal-current principle.
Abstract
We first survey some open questions concerning stochastic interacting particle systems with open boundaries. Then an asymmetric exclusion process with open boundaries that generalizes the lattice gas model of Katz, Lebowitz, and Spohn (KLS) is introduced and invariance of the one-dimensional Ising measure is proved. The stationary current is computed in explicit form and is shown to exhibit current reversal at some density. Based on the extremal-current principle for one-dimensional driven diffusive systems with one conservation law, the phase diagram for boundary-induced phase transitions is conjectured for this case. There are two extremal-current phases, unlike in the conventional open asymmetric simple exclusion process, which exhibits only one extremal-current phase or the previously considered conventional open KLS model with one or three extremal-current phases.
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 · Theoretical and Computational Physics · Random Matrices and Applications
