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June 21, 2026International Journal of Bifurcation and Chaos1 citations

Investigating the Impact of Fractional Parameters on Stability and Bifurcation in the Time-Fractional Swift–Hohenberg Model

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HZHaolu ZhangZLZhiyuan Li

Key Points

  • The study aims to explore how fractional parameters influence chaos and pattern formation in the Swift–Hohenberg model.
  • Developed a higher-order numerical scheme using the Caputo time-fractional derivative and a nine-point finite difference approximation.
  • Analyzed linear stability and Turing bifurcations related to fractional order.
  • Performed numerical simulations to observe spatiotemporal behaviors across various parameter regimes.
  • The fractional order modulates complexity measures and the Turing instability threshold, enabling multiple stability switches.
  • Numerical simulations indicate that fractional parameters act as bifurcation parameters, leading to chaotic dynamics.
  • The proposed numerical scheme captures rich patterns and behaviors effectively across different parameter settings.

Abstract

This paper investigates the effect of fractional parameters on chaos and pattern formation in the fractional-in-time complex Swift–Hohenberg model. A novel higher-order numerical scheme is developed, combining a Formula: see textth-order Grünwald–Letnikov discretization for the Caputo time-fractional derivative with a nine-point finite difference approximation for spatial operators, achieving fourth-order spatial accuracy and incorporating a short-memory principle for computational efficiency. Linear stability and Turing bifurcation analysis reveal that the fractional order Formula: see text nonmonotonically modulates both the complexity measures and the Turing instability threshold, enabling multiple stability switches and transitions to globally unstable regimes. Numerical simulations demonstrate that Formula: see text acts as a bifurcation parameter, inducing complex pattern selection and chaotic dynamics, with the proposed scheme effectively capturing rich spatiotemporal behaviors across various parameter regimes.

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Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/6a37808224f042ddf4c5aa45https://doi.org/10.1142/s0218127426501853
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