Bautin bifurcation in delayed reaction-diffusion systems with application to the Segel-Jackson model
Yuxiao Guo, Ben Niu

TL;DR
This paper develops an algorithm to analyze Bautin bifurcations in delayed reaction-diffusion systems, applying it to the Segel-Jackson model to identify complex bifurcation phenomena and solution behaviors.
Contribution
The paper introduces a method for deriving normal forms of Bautin bifurcations in delayed reaction-diffusion systems with boundary conditions, with explicit Lyapunov coefficient calculations.
Findings
Existence of fold bifurcation of periodic orbits near the bifurcation point
Presence of subcritical and supercritical Hopf bifurcations
Solutions with small initial conditions converge to stable orbits, large ones diverge
Abstract
In this paper, we present an algorithm for deriving the normal forms of Bautin bifurcations in reaction-diffusion systems with time delays and Neumann boundary conditions. On the center manifold near a Bautin bifurcation, the first and second Lyapunov coefficients are calculated explicitly, which completely determine the dynamical behavior near the bifurcation point. As an example, the Segel-Jackson predator-prey model is studied. Near the Bautin bifurcation we find the existence of fold bifurcation of periodic orbits, as well as subcritical and supercritical Hopf bifurcations. Both theoretical and numerical results indicate that solutions with small (large) initial conditions converge to stable periodic orbits (diverge to infinity).
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 Biology Tumor Growth · Mathematical and Theoretical Epidemiology and Ecology Models · Nonlinear Dynamics and Pattern Formation
