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Research Article | Open Access

The research of ( G , w )-Chaos and G-Lipschitz shadowing property

Zhanjiang Ji1,2,3( )
School of Data Science and Software Engineering, Wuzhou University, Wuzhou, Guangxi 543002, China
Guangxi Colleges and Universities Key Laboratory of Image Processing and Intelligent Information System, Wuzhou University, Wuzhou, Guangxi 543002, China
Guangxi Colleges and Universities Key Laboratory of Professional Software Technology, Wuzhou University, Wuzhou, Guangxi 543002, China
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Abstract

In this paper, we introduce the concepts of ( G , w ) Chaos and G Lipschitz shadowing property. We study the dynamical properties of ( G , w ) Chaos in the inverse limit space under group action. In addition, we study the dynamical properties of G Lipschitz shadowing property respectively under topological G conjugate and iterative systems. The following conclusions are obtained. (1) Let ( X f , G ¯ , d ¯ , σ ) be the inverse limit space of ( X , G , d , f ) under group action. If the self-map f is ( G , w ) chaotic, the shift map σ is ( G , w ) chaotic; (2) Let ( X , d ) be a metric G space and f be topologically G conjugate to g. Then the map f has G Lipschitz shadowing property if and only if the map g has G Lipschitz shadowing property. (3) Let ( X , d ) be a metric G space and f be an equivariant Lipschitz map from X to X. Then for any positive integer k 2, the map f has the G Lipschitz shadowing property if and only if the iterative map f k has the G Lipschitz shadowing property. These results enrich the theory of topological G conjugate, iterative system and the inverse limit space under group action.

CLC number: 37B99

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AIMS Mathematics
Pages 10180-10194

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Cite this article:
Ji Z. The research of ( G , w )-Chaos and G-Lipschitz shadowing property. AIMS Mathematics, 2022, 7(6): 10180-10194. https://doi.org/10.3934/math.2022566

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Received: 20 December 2021
Revised: 26 February 2022
Accepted: 06 March 2022
Published: 15 June 2022
©2022 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)