Semi-analytical solutions for the reversible Selkov model are developed and used to investigate its static and dynamic stability. A one-dimensional reaction-diffusion cell is considered with all steps of the Selkov reaction modeled. A coupled set of four partial differential equations is obtained for the precursor, reactant, autocatalyst and final product concentrations. The Galerkin method is applied to approximate the spatial structure of the concentrations to obtain a lower-order, ordinary differential equation model, as an approximation to the governing partial differential equations. The semi-analytical model is analysed to obtain steady-state solutions, bifurcation diagrams and parameter maps in which the different types of bifurcation patterns and Hopf bifurcations occur. The results for this model are compared to the standard (two species) Selkov model. The effect of varying the rate constants, associated with the decay of both the precursor and final product, on the stability of the system is considered in detail. It is shown that increasing these rate constants, and hence the coupling between the reactant/autocatalyst and precursor/final product, stabilizes the system by reducing the area of parameter space in which Hopf bifurcations can occur. The effect of feedback, by varying the various concentrations in the boundary reservoirs, in response to the concentrations in the cell, is also considered. Feedback can be either stabilizing or destabilizing, depending on the sign of the feedback response. The semi-analytical method is shown to generate accurate solutions, by comparison with numerical solutions of the governing partial differential equations.
History
Citation
Al Noufaey, K., Marchant, T. R. & Edwards, M. P. (2015). A semi-analytical analysis of the stability of the reversible Selkov model. Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications and Algorithms, 22 (2), 117-139.
Journal title
Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications and Algorithms