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Eckhaus instability of stationary patterns in hyperbolic reaction–diffusion models on large finite domains

Author

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  • Giancarlo Consolo

    (University of Messina (Italy))

  • Gabriele Grifó

    (University of Messina (Italy))

Abstract

We have theoretically investigated the phenomenon of Eckhaus instability of stationary patterns arising in hyperbolic reaction–diffusion models on large finite domains, in both supercritical and subcritical regime. Adopting multiple-scale weakly-nonlinear analysis, we have deduced the cubic and cubic–quintic real Ginzburg–Landau equations ruling the evolution of pattern amplitude close to criticality. Starting from these envelope equations, we have provided the explicit expressions of the most relevant dynamical features characterizing primary and secondary quantized branches of any order: stationary amplitude, existence and stability thresholds and linear growth rate. Particular emphasis is given on the subcritical regime, where cubic and cubic–quintic Ginzburg–Landau equations predict qualitatively different dynamical pictures. As an illustrative example, we have compared the above-mentioned analytical predictions to numerical simulations carried out on the hyperbolic modified Klausmeier model, a conceptual tool used to describe the generation of stationary vegetation stripes over flat arid environments. Our analysis has also allowed to elucidate the role played by inertia during the transient regime, where an unstable patterned state evolves towards a more favorable stable configuration through sequences of phase-slips. In particular, we have inspected the functional dependence of time and location at which wavelength adjustment takes place as well as the possibility to control these quantities, independently of each other.

Suggested Citation

  • Giancarlo Consolo & Gabriele Grifó, 2022. "Eckhaus instability of stationary patterns in hyperbolic reaction–diffusion models on large finite domains," Partial Differential Equations and Applications, Springer, vol. 3(5), pages 1-32, October.
  • Handle: RePEc:spr:pardea:v:3:y:2022:i:5:d:10.1007_s42985-022-00193-0
    DOI: 10.1007/s42985-022-00193-0
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    References listed on IDEAS

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    1. Wael W. Mohammed, 2019. "Modulation Equation for the Stochastic Swift–Hohenberg Equation with Cubic and Quintic Nonlinearities on the Real Line," Mathematics, MDPI, vol. 7(12), pages 1-12, December.
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    Cited by:

    1. Consolo, Giancarlo & Grifó, Gabriele & Valenti, Giovanna, 2022. "Dryland vegetation pattern dynamics driven by inertial effects and secondary seed dispersal," Ecological Modelling, Elsevier, vol. 474(C).
    2. Elvira Barbera & Annamaria Pollino, 2022. "An Extended Thermodynamics Model for Blood Flow," Mathematics, MDPI, vol. 10(16), pages 1-14, August.
    3. Currò, C. & Grifò, G. & Valenti, G., 2023. "Turing patterns in hyperbolic reaction-transport vegetation models with cross-diffusion," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).

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