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arXiv 0910.4561nlin.CD
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混沌映射的李雅普诺夫指数和自然不变密度确定:迭代最大熵分析

Lyapunov exponent and natural invariant density determination of chaotic maps: An iterative maximum entropy ansatz

Parthapratim Biswas, H. Shimoyama, L. R. Mead

摘要:

应用最大熵原理构造了一维混沌映射的自然不变密度和李雅普诺夫指数。利用一种新的基于最大化Shannon熵求解Hausdorff矩问题的函数重构技术,从有限个矩的知识出发,估计了一维非线性映射的不变密度和李雅普诺夫指数.算法的准确性和稳定性的说明,通过比较我们的结果,一些非线性映射的精确分析结果是可用的。此外,我们还考虑了一个非常复杂的例子,没有确切的分析结果不变的密度。我们的研究结果与文献中的结果进行了比较。

英文摘要:

We apply the maximum entropy principle to construct the natural invariant density and Lyapunov exponent of one-dimensional chaotic maps. Using a novel function reconstruction technique that is based on the solution of Hausdorff moment problem via maximizing Shannon entropy, we estimate the invariant density and the Lyapunov exponent of nonlinear maps in one-dimension from a knowledge of finite number of moments. The accuracy and the stability of the algorithm are illustrated by comparing our results to a number of nonlinear maps for which the exact analytical results are available. Furthermore, we also consider a very complex example for which no exact analytical result for invariant density is available. A comparison of our results to those available in the literature is also discussed.

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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