The origin of localized patterns with a spatiotemporal oscillatory background state

The localized patterns observed with a spatiotemporal oscillatory background in the experiment are believed to emerge due to the bistability of supercritical Turing-Hopf modes. However, the branching origin of these patterns remains unclear. In this paper, we explore the formation of local patterns near the subcritical Turing-Hopf bifurcation point using the Gray-Scott model as an example. By employing the multiple scales analysis method, we derive the amplitude equation coupling both time and space, demonstrating that this special localized pattern can persist even under a subcritical bifurcation. Through numerical continuation and bifurcation analysis, we reveal that the patterns originate from a new branch on the homoclinic snaking. Our findings provide new insights into the formation of complex spatiotemporal patterns and offer a reasonable explanation for the origin of oscillatory localized patterns from the perspective of higher-order bifurcations.

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Publication Details

Journal
Chaos An Interdisciplinary Journal of Nonlinear Science
Published
2025-03-01
DOI
https://doi.org/10.1063/5.0249873
Citations
2
Primary Topic
Ecosystem dynamics and resilience
Type
article
Field-Weighted Citation Impact
2.21

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article

The origin of localized patterns with a spatiotemporal oscillatory background state

Li Li, Z.L. Xue
2 citations
Chaos An Interdisciplinary Journal of Nonlinear Science
Ecosystem dynamics and resilience
2.21
article

The origin of localized patterns with a spatiotemporal oscillatory background state

Li Li, Z.L. Xue
article en
2 citations

Abstract

The localized patterns observed with a spatiotemporal oscillatory background in the experiment are believed to emerge due to the bistability of supercritical Turing-Hopf modes. However, the branching origin of these patterns remains unclear. In this paper, we explore the formation of local patterns near the subcritical Turing-Hopf bifurcation point using the Gray-Scott model as an example. By employing the multiple scales analysis method, we derive the amplitude equation coupling both time and space, demonstrating that this special localized pattern can persist even under a subcritical bifurcation. Through numerical continuation and bifurcation analysis, we reveal that the patterns originate from a new branch on the homoclinic snaking. Our findings provide new insights into the formation of complex spatiotemporal patterns and offer a reasonable explanation for the origin of oscillatory localized patterns from the perspective of higher-order bifurcations.

Chaos An Interdisciplinary Journal of Nonlinear ScienceVol. 35(3)
Shanxi University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 15%
Ecosystem dynamics and resilience
2.21
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The origin of localized patterns with a spatiotemporal oscillatory background state — Li Li, Z.L. Xue · Chaos An Interdisciplinary Journal of Nonlinear Science (2025) | TGRS Research Map | TGRS