Related Experiment Video
Updated: Jun 20, 2026

The Use of Chemostats in Microbial Systems Biology
Published on: October 14, 2013
Stability analysis of non-autonomous reaction-diffusion systems: the effects of growing domains
Anotida Madzvamuse1, Eamonn A Gaffney, Philip K Maini
1Department of Mathematics, University of Sussex, Mantell Building, Brighton, BN1 9RF, UK. a.madzvamuse@sussex.ac.uk
Abstract:
By using asymptotic theory, we generalise the Turing diffusively-driven instability conditions for reaction-diffusion systems with slow, isotropic domain growth. There are two fundamental biological differences between the Turing conditions on fixed and growing domains, namely: (i) we need not enforce cross nor pure kinetic conditions and (ii) the restriction to activator-inhibitor kinetics to induce pattern formation on a growing biological system is no longer a requirement. Our theoretical findings are confirmed and reinforced by numerical simulations for the special cases of isotropic linear, exponential and logistic growth profiles. In particular we illustrate an example of a reaction-diffusion system which cannot exhibit a diffusively-driven instability on a fixed domain but is unstable in the presence of slow growth.
Related Concept Videos
Reaction Mechanisms: The Steady-State Approximation
Stability of Equilibrium Configuration
A stable equilibrium occurs when a system tends to return to its original position when given a small displacement, and the potential energy is at its minimum. An example of a stable equilibrium is when a cantilever beam is fixed at one end and a weight is attached to the other end. If the weight...
Modeling with Differential Equations
Stability of Equilibrium Configuration: Problem Solving
Problem-solving in the context of the stability of equilibrium configuration...
Stability
The stability of an LTI system is determined by the roots of its characteristic equation, known as poles. A system is stable if it produces a bounded...
Concentration and Rate Law
For example, in a generic reaction aA + bB ⟶ products, where a and b are stoichiometric coefficients, the rate law can be written as:

