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arXiv 2007.11236nlin.CD
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Koopman算子与混沌映射的相空间划分

Koopman Operator and Phase Space Partition of Chaotic Maps

Cong Zhang, Yueheng Lan

摘要:

Koopman算子描述了观测量在相空间中的演化,可以用来提取非线性系统的特征动力学特征。在这里,我们表明,它是可能的,进行有趣的符号分区的基础上适当构造的特征函数的运营商的混沌映射。分区边界是这些特征函数的极值,通过在数值计算中包含更多的基函数来提高其精度。该方案的有效性证明在著名的1-D和2-D地图。将计算扩展到高维非线性系统似乎没有什么障碍,这为剖析复杂动力学提供了一条可能的途径。

英文摘要:

Koopman operator describes evolution of observables in the phase space, which could be used to extract characteristic dynamical features of a nonlinear system. Here, we show that it is possible to carry out interesting symbolic partitions based on properly constructed eigenfunctions of the operator for chaotic maps. The partition boundaries are the extrema of these eigenfunctions, the accuracy of which is improved by including more basis functions in the numerical computation. The validity of this scheme is demonstrated in well-known 1-d and 2-d maps. It seems no obstacle to extend the computation to nonlinear systems of high dimensions, which provides a possible way of dissecting complex dynamics.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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