The Linear Stability of Symmetric Spike Patterns for a Bulk-Membrane Coupled Gierer-Meinhardt Model
Daniel Gomez, Michael J. Ward, Juncheng Wei

TL;DR
This paper investigates the linear stability of symmetric spike patterns in a coupled bulk-membrane Gierer-Meinhardt PDE model, revealing how bulk diffusion and coupling influence pattern stability through analytical and numerical methods.
Contribution
It introduces a novel nonlocal eigenvalue problem involving coupled Green's functions to analyze stability in a bulk-membrane reaction-diffusion system.
Findings
Bulk diffusion modifies spike pattern stability.
Identifies parameter regimes for oscillatory and competition instabilities.
Validates stability predictions with numerical simulations.
Abstract
We analyze a coupled bulk-membrane PDE model in which a scalar linear 2-D bulk diffusion process is coupled through a linear Robin boundary condition to a two-component 1-D reaction-diffusion (RD) system with Gierer-Meinhardt (nonlinear) reaction kinetics defined on the domain boundary. For this coupled model, in the singularly perturbed limit of a long-range inhibition and short-range activation for the membrane-bound species, asymptotic methods are used to analyze the existence of localized steady-state multi-spike membrane-bound patterns, and to derive a nonlocal eigenvalue problem (NLEP) characterizing time-scale instabilities of these patterns. A central, and novel, feature of this NLEP is that it involves a membrane Green's function that is coupled nonlocally to a bulk Green's function. When the domain is a disk, or in the well-mixed shadow-system limit…
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Taxonomy
TopicsNonlinear Dynamics and Pattern Formation · stochastic dynamics and bifurcation · Molecular Junctions and Nanostructures
