Rich Dynamics Caused by a Fractional Diffusion Operator in Nonchaotic Rulkov Maps

There are few works about Neimark–Sacker bifurcating analysis on discrete dynamical systems with linear diffusion and delayed coupling under periodic/Neumann-boundary conditions. In this paper, we build up the framework for Neimark–Sacker bifurcations caused by Turing instability on high-dimensional discrete-time dynamical systems with symmetrical property in the linearized system. The fractional diffusion operator in higher-dimensional discrete dynamical systems is introduced and regular/chaotic Turing patterns are discovered by the computation of the largest Lyapunov exponents.

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Journal
Fractal and Fractional
Published
2024-12-03
DOI
https://doi.org/10.3390/fractalfract8120716
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
0.00

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article

Rich Dynamics Caused by a Fractional Diffusion Operator in Nonchaotic Rulkov Maps

Huanqin Hu, Mingshu Peng, Yongning Qi
Fractal and Fractional
Mathematical and Theoretical Epidemiology and Ecology Models
article

Rich Dynamics Caused by a Fractional Diffusion Operator in Nonchaotic Rulkov Maps

Huanqin Hu, Mingshu Peng, Yongning Qi
article en

Abstract

There are few works about Neimark–Sacker bifurcating analysis on discrete dynamical systems with linear diffusion and delayed coupling under periodic/Neumann-boundary conditions. In this paper, we build up the framework for Neimark–Sacker bifurcations caused by Turing instability on high-dimensional discrete-time dynamical systems with symmetrical property in the linearized system. The fractional diffusion operator in higher-dimensional discrete dynamical systems is introduced and regular/chaotic Turing patterns are discovered by the computation of the largest Lyapunov exponents.

Fractal and FractionalVol. 8(12)
Beijing Jiaotong University (CN)
National Natural Science Foundation of China
Sustainable cities and communities
Openalex Percentile: Top 66%
Mathematical and Theoretical Epidemiology and Ecology Models
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