Dynamics of Induced Maps on the Space of Probability Measures

被引:5
|
作者
Shao, Hua [1 ]
Zhu, Hao [2 ]
Chen, Guanrong [3 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Dept Math, Nanjing 211106, Peoples R China
[2] Nanjing Univ, Dept Math, Nanjing 210093, Peoples R China
[3] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Peoples R China
基金
中国博士后科学基金;
关键词
Probability measure; Induced system; Mixing; Entropy; Li-Yorke chaos; TRANSITIVITY; CHAOS; ENTROPY;
D O I
10.1007/s10884-020-09909-5
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
For a continuous self-map f on a compact metric space X, we provide two simple examples: the first confirms that shadowing of (X, f) is not inherited by (M( X), f<^>) in general, and the other satisfies that both (X, f) and (M(X), f<^>) have no Li-Yorke pair, whereM(X) be the space of all Borel probability measures on X. Then we prove that chain transitivity of (X, f) implies chain mixing of (M(X), f<^>), and provide an example to deny the converse. For a non-autonomous system (X, f(0,infinity)), we prove that weak mixing of (M( X), f<^>(0,infinity)) implies that of ( X, f(0,infinity)), and give an example to deny the converse, where f(0,infinity) = {f(n)}8 n=0 is a sequence of continuous self-maps on X. We also prove that if fn is surjective for all n = 0, then chain mixing of (M( X), f<^>(0,infinity)) always holds true, and shadowing of (M( X), f<^>(0,infinity)) implies mixing of ( X, f(0,infinity)). If X = I is an interval, we obtain a sharp condition such that transitivity is equivalent between ( I, f) and (M( I), f<^>). Although (M( I), f<^>) has infinite topological entropy for any transitive system (I, f), we give an example such that (I, f(0,infinity)) is transitive but (M( I), f<^>(0,infinity)) has zero topological entropy.
引用
收藏
页码:961 / 981
页数:21
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