Lévy-noise-induced wavefront propagation for bistable systems

IF 5.3 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Vladimir V. Semenov
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引用次数: 0

Abstract

The influence of the Lévy noise’s properties on wavefront propagation is analysed on examples of ensembles of locally coupled bistable oscillators and a single bistable delayed-feedback oscillator considered as a spatially-extended system evolving in quasi-space. It is shown that additive Lévy noise allows to induce wavefront propagation in ensembles of symmetric bistable oscillators. In such a case, the direction and velocity of the noise-sustained propagation is determined both by the noise’s skewness parameter and by the coupling topology (bidirectional and unidirectional coupling schemes are distinguished). In addition, additive Lévy noise induces wavefront propagation in a bistable delayed-feedback oscillator assumed to be symmetric such that its dynamics replicates the collective behaviour in the ensemble with unidirectional coupling. The wavefront propagation velocity used in this analysis is shown to be varied when adjusting the noise parameters. The revealed effects are demonstrated in the ensembles by using numerical simulation, whereas the numerical exploration of the delayed-feedback oscillator is complemented by physical experiments, showing a good correspondence and disclosing thereby the robustness of the observed phenomena.
双稳系统的杂波前传播
以局部耦合双稳振荡器和单双稳延迟反馈振荡器作为准空间扩展系统的综综为例,分析了lsamvy噪声特性对波前传播的影响。结果表明,加性lsamvy噪声可以诱导对称双稳振荡器系综中的波前传播。在这种情况下,噪声持续传播的方向和速度由噪声的偏度参数和耦合拓扑(区分双向和单向耦合方案)决定。此外,累加性lsamvy噪声诱导波前在双稳态延迟反馈振荡器中传播,假设该振荡器是对称的,使得其动力学复制了单向耦合系综中的集体行为。分析中使用的波前传播速度在调整噪声参数时是不同的。通过数值模拟证明了所揭示的效应,而对延迟反馈振荡器的数值探索则辅以物理实验,显示出良好的对应关系,从而揭示了所观察到的现象的鲁棒性。
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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