A meeting point of entropy and bifurcations in cross-diffusion herding
Ansgar J\"ungel, Christian Kuehn, Lara Trussardi

TL;DR
This paper analyzes a cross-diffusion system modeling herding behavior, exploring stability, bifurcations, and stationary solutions, and introduces a novel approach comparing bifurcation points with entropy-based method validity.
Contribution
It provides a combined analytical and numerical investigation of bifurcations and entropy structures in a herding model, highlighting parameter regimes where solutions exist or bifurcate.
Findings
Global existence of weak solutions in certain regimes
Identification of bifurcation points leading to non-homogeneous states
Main boundaries determined by bifurcation, degeneracy, and entropy conditions
Abstract
A cross-diffusion system modeling the information herding of individuals is analyzed in a bounded domain with no-flux boundary conditions. The variables are the species' density and an influence function which modifies the information state of the individuals. The cross-diffusion term may stabilize or destabilize the system. Furthermore, it allows for a formal gradient-flow or entropy structure. Exploiting this structure, the global-in-time existence of weak solutions and the exponential decay to the constant steady state is proved in certain parameter regimes. This approach does not extend to all parameters. We investigate local bifurcations from homogeneous steady states analytically to determine whether this defines the validity boundary. This analysis shows that generically there is a gap in the parameter regime between the entropy approach validity and the first local bifurcation.…
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