Statistical approach to discrete-time chaotic systems: advanced tools for quantized chaotic trajectories

G. Mazzini, R. Rovatti, G. Setti
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Abstract

Classical tools for statistical analysis of chaotic maps can be generalized to express any-order joint probability of the state and thus any-order correlation functions of the trajectories. When trajectories are quantized correlations can be naturally expressed as combinations of tensors. These expressions feature noteworthy properties when,. piecewise-affine Markov maps are considered. The class of (n,t)-tailed shifts spans the range of maps producing exponentially vanishing correlation and allows the derivation of an analytical expression for any-order quantized correlation functions.
离散混沌系统的统计方法:量化混沌轨迹的先进工具
用于混沌映射统计分析的经典工具可以推广到表示状态的任意阶联合概率,从而表示轨迹的任意阶相关函数。当轨迹被量化时,相关性可以自然地表示为张量的组合。这些表达式具有值得注意的属性,如,。考虑分段仿射马尔可夫映射。(n,t)尾位移类跨越了产生指数消失相关的映射范围,并允许推导任意阶量化相关函数的解析表达式。
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