The existence and instability of blowing-up steady states for the Shigesada-Kawasaki-Teramoto competition model with cross-diffusion
Kousuke Kuto, Yaping Wu

TL;DR
This paper studies the existence, detailed structure, and instability of large-amplitude steady states in a two-species competition model with cross-diffusion, revealing their blow-up behavior and spectral instability in both classical and perturbed settings.
Contribution
It introduces a new approach using transformations and Lyapunov-Schmidt reduction to analyze blow-up steady states and their instability in the SKT competition model.
Findings
Blow-up steady states are characterized and their asymptotic structure is detailed.
All large-amplitude steady states are spectrally unstable.
Existence and instability of steady states are established for the perturbed SKT model with large cross-diffusion.
Abstract
We investigate the existence and instability of a class of blowing-up positive steady states arising in a shadow system of the Shigesada-Kawasaki-Teramoto (SKT) two-species competition model, as well as in the corresponding perturbed SKT model with a sufficiently large cross-diffusion coefficient and bounded random diffusion parameters. In their classical work (Lou-Ni, 1999), it was shown that, under the limit where one cross-diffusion parameter tends to infinity, coexistence steady states of the SKT model are characterized by three types of shadow systems. In a previous study (Kuto, 2015), the first author analyzed one of these shadow systems in one space dimension (the second shadow system) and proved that a component of a bifurcating branch blows up as the bifurcation parameter approaches the first positive Neumann eigenvalue of . In the present paper, using a new approach…
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 · Mathematical and Theoretical Epidemiology and Ecology Models · stochastic dynamics and bifurcation
