Fronts and patterns with a dynamic parameter ramp
Montie Avery, Odalys Garcia-Lopez, Ryan Goh, Benjamin Hosek, Ethan Shade

TL;DR
This paper investigates how slowly changing parameters influence invasion fronts and pattern formation in reaction-diffusion systems, providing analytical predictions and rigorous results for front dynamics and wavenumber selection.
Contribution
It introduces a unified approach combining linearized analysis, comparison principles, and modulation techniques to analyze dynamic parameter effects on invasion fronts and pattern formation.
Findings
Derived asymptotic predictions for front position and decay.
Established rigorous spreading results for unbounded parameter variation.
Predicted wavenumber selection and delayed invasion phenomena.
Abstract
We examine the effect of a slowly-varying time-dependent parameter on invasion fronts for which an unstable homogeneous equilibrium is invaded by either another homogeneous state or a spatially periodic state. We first explain and motivate our approach by studying asymptotically constant invasion fronts in a scalar FKPP equation with time-dependent parameter which controls the stability of the trivial state. Following recent works in the area, we use a linearized analysis to derive formal predictions for front position and leading-edge spatial decay. We then use a comparison principle approach to establish a rigorous spreading result in the case of an unbounded temporal parameter. We then consider patterned-invasion in the complex Ginzburg-Landau equation with dynamic bifurcation parameter, a prototype for slow passage through a spatio-temporal Hopf instability. Linearized analysis once…
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Taxonomy
TopicsStructural Analysis and Optimization · Architecture and Computational Design
