Refined stability thresholds for localized spot patterns for the Brusselator model in R2

Y. Chang, J. C. Tzou, M. Ward, J. C. Wei

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    5 Citations (Scopus)

    Abstract

    In the singular perturbation limit ε → 0, we analyse the linear stability of multi-spot patterns on a bounded 2-D domain, with Neumann boundary conditions, as well as periodic patterns of spots centred at the lattice points of a Bravais lattice in  , for the Brusselator reaction–diffusion model

    where the parameters satisfy 0 < f < 1, τ > 0 and D > 0. A previous leading-order linear stability theory characterizing the onset of spot amplitude instabilities for the parameter regime D =  (ν−1), where ν = −1/log ϵ, based on a rigorous analysis of a non-local eigenvalue problem (NLEP), predicts that zero-eigenvalue crossings are degenerate. To unfold this degeneracy, the conventional leading-order-in-ν NLEP linear stability theory for spot amplitude instabilities is extended to one higher order in the logarithmic gauge ν. For a multi-spot pattern on a finite domain under a certain symmetry condition on the spot configuration, or for a periodic pattern of spots centred at the lattice points of a Bravais lattice in  , our extended NLEP theory provides explicit and improved analytical predictions for the critical value of the inhibitor diffusivity D at which a competition instability, due to a zero-eigenvalue crossing, will occur. Finally, when D is below the competition stability threshold, a different extension of conventional NLEP theory is used to determine an explicit scaling law, with anomalous dependence on ϵ, for the Hopf bifurcation threshold value of τ that characterizes temporal oscillations in the spot amplitudes.

    Original languageEnglish
    Pages (from-to)791-828
    Number of pages38
    JournalEuropean Journal of Applied Mathematics
    Volume30
    Issue number4
    Early online date30 Jul 2018
    DOIs
    Publication statusPublished - Aug 2019

    Keywords

    • Bloch Green's function
    • Hopf and competition stability thresholds
    • Spot patterns
    • nonlocal eigenvalue problem

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