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arXiv 1102.3141nlin.CD
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时空混沌的大偏差方法

A large-deviation approach to space-time chaos

Pavel V. Kuptsov, Antonio Politi

摘要:

在这封信中,我们表明,李雅普诺夫指数波动的分析有助于加深我们对高维混沌的理解。这是通过引入高斯近似的大偏差函数,量化的波动概率。更准确地说,扩散矩阵$\bf D$(一个动态不变量本身)的测量和分析的主要组成部分。这种方法的应用程序的三个(保守的,以及耗散)模型,允许:(i)量化的不同自由度之间的有效相互作用的强度;(ii)揭示微观约束,如那些相关的辛结构;(iii)检查双曲的动态。

英文摘要:

In this Letter we show that the analysis of Lyapunov-exponents fluctuations contributes to deepen our understanding of high-dimensional chaos. This is achieved by introducing a Gaussian approximation for the large deviation function that quantifies the fluctuation probability. More precisely, a diffusion matrix $\bf D$ (a dynamical invariant itself) is measured and analysed in terms of its principal components. The application of this method to three (conservative, as well as dissipative) models, allows: (i) quantifying the strength of the effective interactions among the different degrees of freedom; (ii) unveiling microscopic constraints such as those associated to a symplectic structure; (iii) checking the hyperbolicity of the 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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