A (2+1)-dimensional growth process with explicit stationary measures
Fabio Lucio Toninelli (CNRS, Institut Camille Jordan, Universit\'e, Lyon 1)

TL;DR
This paper introduces a class of (2+1)-dimensional stochastic growth processes with explicit stationary measures, revealing linear growth with non-zero speed and small fluctuations, and connects to integrable models like the anisotropic KPZ growth.
Contribution
It defines a new class of irreversible growth models with explicit stationary measures and analyzes their long-term behavior and fluctuations.
Findings
Stationary measures remain invariant despite irreversibility.
Average height grows linearly with non-zero velocity.
Fluctuations are smaller than any power of time, indicating tight concentration.
Abstract
We introduce a class of (2+1)-dimensional stochastic growth processes, that can be seen as irreversible random dynamics of discrete interfaces. "Irreversible" means that the interface has an average non-zero drift. Interface configurations correspond to height functions of dimer coverings of the infinite hexagonal or square lattice. The model can also be viewed as an interacting driven particle system and in the totally asymmetric case the dynamics corresponds to an infinite collection of mutually interacting Hammersley processes. When the dynamical asymmetry parameter equals zero, the infinite-volume Gibbs measures (with given slope ) are stationary and reversible. When , are not reversible any more but, remarkably, they are still stationary. In such stationary states, we find that the average height function at any given point grows…
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.
