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arXiv 1902.01036nlin.CDnlin.AO
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三维局部耦合系统中的嵌合体模式

Chimera patterns in three-dimensional locally coupled systems

Srilena Kundu, Bidesh K. Bera, Dibakar Ghosh, M. Lakshmanan

摘要:

相干畴和非相干畴的共存,即嵌合态的出现,是近十年来在许多科学技术背景下得到广泛研究的一个问题,尽管以往的研究大多建立在一维和二维相互作用拓扑结构的框架上。最近,这种迷人的现象的出现已被研究在三维(3D)网格的形成,而只考虑非局部相互作用。在这里,我们研究的嵌合体模式的出现和存在的三维网络耦合的Stuart-Landau极限环振荡器和Hindmarsh-Rose神经元振荡器与本地(最近邻)的相互作用拓扑。不同类型的时空嵌合体模式的出现进行了研究,采取两个不同的非线性相互作用函数。我们提供了适当的分析解释,在三维网格的网络形成和相应的数值理由。在Stuart-Landau振子包含无穷多个振子的情况下,我们推广了基于Stuart-Antonsen约化方法的分析.特别地,在Hindmarsh-Rose神经元网络中,非平稳嵌合态的存在性由瞬时不相干强度和瞬时局部序参量来表征.此外,通过线性稳定性分析,得到了实现精确神经元同步的条件。不同类型的集体动力学与嵌合体状态映射在广泛的各种参数空间。

英文摘要:

The coexistence of coherent and incoherent domains, namely the appearance of chimera states, is being studied extensively in many contexts of science and technology since the past decade, though the previous studies are mostly built on the framework of one-dimensional and two-dimensional interaction topologies. Recently, the emergence of such fascinating phenomena has been studied in three-dimensional (3D) grid formation while considering only the nonlocal interaction. Here we study the emergence and existence of chimera patterns in a three dimensional network of coupled Stuart-Landau limit cycle oscillators and Hindmarsh-Rose neuronal oscillators with local (nearest neighbour) interaction topology. The emergence of different types of spatiotemporal chimera patterns is investigated by taking two distinct nonlinear interaction functions. We provide appropriate analytical explanations in the 3D grid of network formation and the corresponding numerical justifications are given. We extend our analysis on the basis of Ott-Antonsen reduction approach in the case of Stuart-Landau oscillators containing infinite number of oscillators. Particularly, in Hindmarsh-Rose neuronal network the existence of non-stationary chimera states are characterized by instantaneous strength of incoherence and instantaneous local order parameter. Besides, the condition for achieving exact neuronal synchrony is obtained analytically through a linear stability analysis. The different types of collective dynamics together with chimera states are mapped over a wide range of various parameter spaces.

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