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Effect of parameter calculation in direct estimation of the Lyapunov exponent in short time series

机译:参数计算对短时间序列Lyapunov指数直接估计的影响

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摘要

The literature about non-linear dynamics offers a few recommendations, which sometimes are divergent, about the criteria to be used in order to select the optimal calculus parameters in the estimation of Lyapunov exponents by direct methods. These few recommendations are circumscribed to the analysis of chaotic systems. We have found no recommendation for the estimation of λ starting from the time series of classic systems. The reason for this is the interest in distinguishing variability due to a chaotic behavior of determinist dynamic systems of variability caused by white noise or linear stochastic processes, and less in the identification of non-linear terms from the analysis of time series. In this study we have centered in the dependence of the Lyapunov exponent, obtained by means of direct estimation, of the initial distance and the time evolution. We have used generated series of chaotic systems and generated series of classic systems with varying complexity. To generate the series we have used the logistic map.
机译:关于非线性动力学的文献提供了一些建议,这些建议有时会有所不同,这些建议是关于在通过直接方法估算Lyapunov指数时选择最佳演算参数所使用的标准的。这些很少的建议被限制在混沌系统的分析中。我们发现从经典系统的时间序列开始,没有建议对λ进行估计。这样做的原因是有兴趣区分由白噪声或线性随机过程引起的确定性动态确定性动态系统的混沌行为引起的可变性,而对时间序列分析中的非线性项的识别则较少。在这项研究中,我们集中于通过直接估计获得的李雅普诺夫指数对初始距离和时间演化的依赖性。我们使用了生成的一系列混沌系统和复杂的经典系统系列。为了生成系列,我们使用了逻辑映射。

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