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Main Authors: Cheng, Junfeng, Yang, Xiao-Song
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2501.01134
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author Cheng, Junfeng
Yang, Xiao-Song
author_facet Cheng, Junfeng
Yang, Xiao-Song
contents This paper enriches the topological horseshoe theory using finite subshift theory in symbolic dynamical systems, and develops an elementary framework addressing incomplete crossing and semi-horseshoes. Two illustrative examples are provided: one from the perturbed Duffing system and another from a polynomial system proposed by Chen, demonstrating the prevalence of semi-horseshoes in chaotic systems. Moreover, the semi-topological horseshoe theory enhances the detection of chaos and improves the accuracy of topological entropy estimation.
format Preprint
id arxiv_https___arxiv_org_abs_2501_01134
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Incomplete crossing and semi-topological horseshoes
Cheng, Junfeng
Yang, Xiao-Song
Dynamical Systems
This paper enriches the topological horseshoe theory using finite subshift theory in symbolic dynamical systems, and develops an elementary framework addressing incomplete crossing and semi-horseshoes. Two illustrative examples are provided: one from the perturbed Duffing system and another from a polynomial system proposed by Chen, demonstrating the prevalence of semi-horseshoes in chaotic systems. Moreover, the semi-topological horseshoe theory enhances the detection of chaos and improves the accuracy of topological entropy estimation.
title Incomplete crossing and semi-topological horseshoes
topic Dynamical Systems
url https://arxiv.org/abs/2501.01134