Spatial pattern of discrete and ultradiscrete Gray-Scott model
Keisuke Matsuya, Mikio Murata

TL;DR
This paper introduces a discretized and ultradiscretized Gray-Scott model that generates diverse spatial patterns, including traveling pulses, self-replication, and fractal structures, linking to cellular automata like Rule 90.
Contribution
It presents a novel discretization and ultradiscretization of the Gray-Scott model, producing complex patterns and connecting to cellular automata.
Findings
The ultradiscrete Gray-Scott model produces Sierpinski gasket patterns.
The models generate traveling pulses and self-replication patterns.
A 2+1D ultradiscrete model creates ring, self-replication, and chaotic patterns.
Abstract
Ultradiscretization is a limiting procedure transforming a given difference equation into a cellular automaton. In addition the cellular automaton constructed by this procedure preserves the essential properties of the original equation, such as the structure of exact solutions for integrable equations. In this article, we propose a discretization and an ultradiscretization of Gray-Scott model which is not an integrable system and which gives various spatial patterns with appropriate initial data and parameters. The resulting systems give a travelling pulse and a self-replication pattern with appropriate initial data and parameters. The ultradiscrete system is directly related to the elementary cellular automaton Rule 90 which gives a Sierpinski gasket pattern. A D ultradiscrete Gray-Scott model that gives a ring pattern, a self-replication pattern and a chaotic pattern, is also…
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
TopicsCellular Automata and Applications · Mathematical and Theoretical Epidemiology and Ecology Models · Nonlinear Dynamics and Pattern Formation
