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Chaos to multiple mappings from a set-valued view

机译:从集合视图中混乱到多个映射

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摘要

Let (X, d) be a compact metric space and F = {f(1), f(2), ..., f(m)} be an m-tuple of continuous maps from X to itself. In this paper, we investigate the multiple mappings dynamical system (X, F) with Hausdorff metric Li-Yorke chaos, distributional chaos and distributional chaos in a sequence properties from a set-valued view. On the basis of this research, we draw main conclusions as follows: (i) two topological conjugacy dynamical systems to multiple mappings have simultaneously Hausdorff metric Li-Yorke chaos or distributional chaos. (ii) Hausdorff metric Li-Yorke delta-chaos is equivalent to Hausdorff metric distributional delta-chaos in a sequence. (iii) By giving two examples, we show that there is non-mutual implication between that the multiple mappings F-i = {f(1), f(2), ..., f(m)} is Hausdorff metric Li-Yorke chaos and that each element f(i) (i = 1, 2, ..., m) in F is Li-Yorke chaos. (iv) For the multiple mappings, weakly mixing implies the Hausdorff metric strongly Li-Yorke chaos and Hausdorff metric distributional chaos in a sequence.
机译:设(x,d)是一个紧凑的公制空间,f = {f(1),f(2),...,f(m)}是从x到自身的连续映射的M-tuple。在本文中,我们将多个映射动态系统(X,F)与Hausdorff公原因Li-yorke混沌,分布混乱和分布混沌中的序列性能从设定值视图进行。在这项研究的基础上,我们得出如下的主要结论:(i)两个拓扑缀合物动态系统到多个映射的同时具有Hausdorff公制Li-yorke混沌或分布混沌。 (ii)Hausdorff Metric Li-Yorke Delta-Chaos相当于序列中的Hausdorff度量分布Δ-chaos。 (iii)通过给出两个示例,我们表明多映射Fi = {f(1),f(2),...,f(m)}之间存在非相互含义之间的非相互含义.Hausdorff Metric Li-Yorke混沌和f(i)(i = 1,2,...,m)的每个元素f(i)是li-yorke chaos。 (iv)对于多映射,弱混合意味着Hausdorff公制强烈的锂yorke混沌和Hausdorff度量分布混沌。

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