Instability of all regular stationary solutions to reaction-diffusion-ODE systems
Szymon Cygan, Anna Marciniak-Czochra, Grzegorz Karch, Kanako Suzuki

TL;DR
This paper proves that all regular stationary solutions in certain reaction-diffusion-ODE systems are unstable, implying stable patterns must be far-from-equilibrium and possibly singular, which challenges the stability of near-equilibrium patterns.
Contribution
It demonstrates the universal instability of regular stationary solutions in coupled reaction-diffusion-ODE systems, highlighting the necessity of singular solutions for stability.
Findings
All regular stationary solutions are unstable.
Stable patterns require far-from-equilibrium singular solutions.
Near-equilibrium solutions cannot be stable in these systems.
Abstract
A general system of several ordinary differential equations coupled with a reaction-diffusion equation in a bounded domain with zero-flux boundary condition is studied in the context of pattern formation. These initial-boundary value problems may have regular (i.e. sufficiently smooth) stationary solutions. This class of {\it close-to-equilibrium} patterns includes stationary solutions that emerge due to the Turing instability of a spatially constant stationary solution. The main result of this work is instability of all regular patterns. It suggests that stable stationary solutions arising in models with non-diffusive components must be {\it far-from-equilibrium} exhibiting singularities. Such discontinuous stationary solutions have been considered in our parallel work [\textit{Stable discontinuous stationary solutions to reaction-diffusion-ODE systems}, preprint (2021)].
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 · Advanced Mathematical Modeling in Engineering · Theoretical and Computational Physics
