用系统间递归网络几何检测耦合方向
Geometric detection of coupling directions by means of inter-system recurrence networks
摘要：
本文介绍了一种基于递归网络分析的二元扩展的确定两个动力系统之间耦合方向的几何方法。由此产生的系统间递归网络的全球特性提供了一个正确的歧视弱耦合罗斯勒振荡器尚未显示广义同步。研究了两个代表过去10,000年亚洲季风变化的真实古气候时间序列，我们观察到印度夏季风对中国东部气候有相当大的影响，而不是相反。所提出的方法可以直接推广到研究$K>2$耦合子系统。
英文摘要：
We introduce a geometric method for identifying the coupling direction between two dynamical systems based on a bivariate extension of recurrence network analysis. Global characteristics of the resulting inter-system recurrence networks provide a correct discrimination for weakly coupled Rössler oscillators not yet displaying generalised synchronisation. Investigating two real-world palaeoclimate time series representing the variability of the Asian monsoon over the last 10,000 years, we observe indications for a considerable influence of the Indian summer monsoon on climate in Eastern China rather than vice versa. The proposed approach can be directly extended to studying $K>2$ coupled subsystems.
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。
