Processes with a Local Deterministic Interaction: Invariant Bernoulli Measures
V. A. Malyshev, A. A. Zamyatin

TL;DR
This paper introduces a broad class of Markov processes with local interactions, including exclusion and Kawasaki processes, and identifies Bernoulli measures that remain invariant under these dynamics.
Contribution
It generalizes existing models by defining a new class of processes with local deterministic interactions and finds their Bernoulli invariant measures.
Findings
Bernoulli measures are invariant for the new class of processes
Includes exclusion and Kawasaki processes as special cases
Provides a unified framework for local interaction processes
Abstract
A general class of Markov processes with a local interaction is introduced, which includes exclusion and Kawasaki processes as a very particular case. Bernoulli invariant measures are found for this class of processes.
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 · Markov Chains and Monte Carlo Methods · Gene Regulatory Network Analysis
