Nonlinear patterns shaping the domain on which they live

Nonlinear stripe patterns in two spatial dimensions break the rotational symmetry and generically show a preferred orientation near domain boundaries, as described by the famous Newell-Whitehead-Segel (NWS) equation. We first demonstrate that, as a consequence, stripes favour rectangular over quadra...

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Hauptverfasser: Ruppert, Mirko (VerfasserIn) , Ziebert, Falko (VerfasserIn) , Zimmermann, Walter (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 5 May 2020
In: New journal of physics
Year: 2020, Jahrgang: 22, Heft: 5
ISSN:1367-2630
DOI:10.1088/1367-2630/ab7f92
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1088/1367-2630/ab7f92
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Verfasserangaben:Mirko Ruppert, Falko Ziebert, Walter Zimmermann
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Zusammenfassung:Nonlinear stripe patterns in two spatial dimensions break the rotational symmetry and generically show a preferred orientation near domain boundaries, as described by the famous Newell-Whitehead-Segel (NWS) equation. We first demonstrate that, as a consequence, stripes favour rectangular over quadratic domains. We then investigate the effects of patterns ‘living’ in deformable domains by introducing a model coupling a generalized Swift-Hohenberg model to a generic phase field model describing the domain boundaries. If either the control parameter inside the domain (and therefore the pattern amplitude) or the coupling strength (‘anchoring energy’ at the boundary) are increased, the stripe pattern self-organizes the domain on which it ‘lives’ into anisotropic shapes. For smooth phase field variations at the domain boundaries, we simultaneously find a selection of the domain shape and the wave number of the stripe pattern. This selection shows further interesting dynamical behavior for rather steep variations of the phase field across the domain boundaries. The here-discovered feedback between the anisotropy of a pattern and its orientation at boundaries is relevant e.g. for shaken drops or biological pattern formation during development.
Beschreibung:Gesehen am 08.06.2020
Beschreibung:Online Resource
ISSN:1367-2630
DOI:10.1088/1367-2630/ab7f92