Formation and Persistence of Spatiotemporal Turing Patterns
Hans G. Kaper, Shouhong Wang, and Masoud Yari

TL;DR
This paper investigates the stability and long-term behavior of Turing patterns in reaction-diffusion systems, providing rigorous analysis and applying it to biological models like Schnakenberg and Gierer-Meinhardt equations.
Contribution
It offers a rigorous analysis of the stability and asymptotic behavior of Turing patterns in reaction-diffusion systems, with applications to biological morphogenesis models.
Findings
Stability conditions for bifurcated solutions are derived.
Long-time asymptotic behavior of patterns is rigorously established.
Application to Schnakenberg and Gierer-Meinhardt models demonstrates practical relevance.
Abstract
This article is concerned with the stability and long-time dynamics of structures arising from a structureless state. The paradigm is suggested by developmental biology, where morphogenesis is thought to result from a competition between chemical reactions and spatial diffusion. A system of two reaction-diffusion equations for the concentrations of two morphogens is reduced to a finite system of ordinary differential equations. The stability of bifurcated solutions of this system is analyzed, and the long-time asymptotic behavior of the bifurcated solutions is established rigorously. The Schnakenberg and Gierer-Meinhardt equations are discussed as examples.
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
TopicsNonlinear Dynamics and Pattern Formation · Cellular Automata and Applications · Slime Mold and Myxomycetes Research
