On hysteresis-reaction-diffusion systems: Singular fast-reaction limit derivation and nonlinear hysteresis feedback
Klemens Fellner, Christian M\"unch

TL;DR
This paper analyzes reaction-diffusion PDE-ODE systems with a fast-reaction limit leading to hysteresis effects, providing models applicable to biological systems and revealing potential for spatially inhomogeneous instabilities.
Contribution
It derives a general framework for PDE-ODE systems with singular fast-reaction limits resulting in hysteresis operators, applicable to biological and chemical models.
Findings
Fast-reaction limit leads to generalized play hysteresis operator
Models demonstrate convergence of food stock dynamics to hysteresis behavior
Example shows potential for spatially inhomogeneous large-time behavior
Abstract
This paper concerns a general class of PDE-ODE reaction-diffusion systems, which features a singular fast-reaction limit towards a reaction-diffusion equation coupled to a scalar hysteresis operator. As prototypical application, we present a PDE model for the growth of a population according to a given food supply coupled to an ODE for the turnover of a food stock. Under realistic conditions the stock turnover is much faster than the population growth yielding an intrinsic scaling parameter. We present two models of consume rate functions such that the resulting food stock dynamics converges to a generalised play operator in the associated fast-reaction-limit. We emphasise that the structural assumptions on the considered PDE-ODE models are quite general and that analogue systems might describe e.g. cell-biological buffer mechanisms, where proteins are stored and used in parallel.…
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
TopicsMathematical and Theoretical Epidemiology and Ecology Models · Nonlinear Dynamics and Pattern Formation · Evolution and Genetic Dynamics
