中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A new metric for statistical properties of long time behaviors

文献类型:期刊论文

作者Zheng, Liqi1,2; Zheng, Zuohuan1,2,3
刊名JOURNAL OF DIFFERENTIAL EQUATIONS
出版日期2020-08-05
卷号269期号:4页码:2741-2773
关键词Generic point Unique ergodicity Time average Weak mean equicontinuity
ISSN号0022-0396
DOI10.1016/j.jde.2020.02.010
英文摘要Let (X, T) be a topological dynamical system with metric d. We define a new function F(x, y) = by using permutation group S-n. It's shown F(x, y) = exists when x, y. Xare generic points. Applying this function, we prove (X, T) is uniquely ergodic if and only if F(x, y) = 0 for any x, y. X. The characterizations of ergodic measures and physical measures by F(x, y) are given. We introduce the notion of weak mean equicontinuity and prove that (X, T) is weak mean equicontinuous if and only if the time averages are continuous for all f is an element of C(X). (c) 2020 Elsevier Inc. All rights reserved.
资助项目NSF of China[11671382] ; CAS Key Project of Frontier Sciences[QYZDJ-SSW-JSC003] ; Key Lab. of Random Complex Structures and Data Sciences CAS ; National Center for Mathematics and Interdisplinary Sciences CAS
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000534488300002
出版者ACADEMIC PRESS INC ELSEVIER SCIENCE
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/51503]  
专题应用数学研究所
通讯作者Zheng, Zuohuan
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Hainan Normal Univ, Coll Math & Stat, Haikou 571158, Hainan, Peoples R China
推荐引用方式
GB/T 7714
Zheng, Liqi,Zheng, Zuohuan. A new metric for statistical properties of long time behaviors[J]. JOURNAL OF DIFFERENTIAL EQUATIONS,2020,269(4):2741-2773.
APA Zheng, Liqi,&Zheng, Zuohuan.(2020).A new metric for statistical properties of long time behaviors.JOURNAL OF DIFFERENTIAL EQUATIONS,269(4),2741-2773.
MLA Zheng, Liqi,et al."A new metric for statistical properties of long time behaviors".JOURNAL OF DIFFERENTIAL EQUATIONS 269.4(2020):2741-2773.

入库方式: OAI收割

来源:数学与系统科学研究院

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