Hexagon Invasion Fronts Outside the Homoclinic Snaking Region in the Planar Swift-Hohenberg Equation
David J. B. Lloyd

TL;DR
This paper investigates the behavior of hexagon fronts outside the homoclinic snaking region in the Swift-Hohenberg equation, revealing how they invade the trivial state, destabilize, and lead to pattern selection and defects.
Contribution
It introduces a numerical path-following method to analyze hexagon front bifurcations and pattern compatibility in the Swift-Hohenberg equation with non-variational perturbations.
Findings
Hexagon fronts can destabilize and produce defects when stretched transversely.
Compatibility diagrams predict hexagon pattern selection on the plane.
Numerical algorithms are adaptable to general reaction-diffusion systems.
Abstract
Stationary fronts connecting the trivial state and a cellular (distorted) hexagonal pattern in the Swift-Hohenberg equation with a quadratic-cubic nonlinearity are known to undergo a process of infinitely many folds as a parameter is varied, known as homoclinic snaking, where new hexagon cells are added to the core, leading to a region of infinitely-many, co-existing localized states. Outside the homoclinic snaking region, the hexagon fronts can invade the trivial state in a bursting fashion. In this paper, we use a far-field core decomposition to set up a numerical path-following routine to trace out the bifurcation diagrams of hexagon fronts for the two main orientations of cellular hexagon pattern with respect to the interface in the bistable region. We find for one orientation that the hexagon fronts can destabilize as the distorted hexagons are stretched in the transverse direction…
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 · Differential Equations and Numerical Methods · Advanced Mathematical Modeling in Engineering
