Exact results for one dimensional stochastic cellular automata for different types of updates
N. Rajewsky, M. Schreckenberg

TL;DR
This paper derives exact stationary states for one-dimensional stochastic cellular automata with various update rules, revealing connections between different update types and providing explicit relations for densities and correlations.
Contribution
It introduces a matrix product formalism approach to construct stationary states and establishes a general link between states from different update schemes in stochastic cellular automata.
Findings
Explicit stationary states for different update types
Connections between densities and correlations across update schemes
General relations derived for stationary state properties
Abstract
We study two common types of time-noncontinuous updates for one dimensional stochastic cellular automata with arbitrary nearest neighbor interactions and arbitrary open boundary conditions. We first construct the stationary states using the matrix product formalism. This construction then allows to prove a general connection between the stationary states which are produced by the two different types of updates. Using this connection, we derive explicit relations between the densities and correlation functions for these different stationary states.
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.
