{"title":"Rigorous numerical study of the density of periodic windows for the logistic map.","authors":"Zbigniew Galias","doi":"10.1063/5.0250869","DOIUrl":null,"url":null,"abstract":"<p><p>Numerical study of periodic windows for the logistic map is carried out. Accurate rigorous bounds for periodic windows' end points are computed using interval arithmetic based tools. An efficient method to find the periodic window with the smallest period lying between two other periodic windows is proposed. The method is used to find periodic windows extremely close to selected points in the parameter space and to find a set of periodic windows to minimize the maximum gap between them. The maximum gap reached is 4×10-9. The phenomenon of the existence of regions free from low-period windows is explained.</p>","PeriodicalId":9974,"journal":{"name":"Chaos","volume":"35 1","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chaos","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1063/5.0250869","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
Numerical study of periodic windows for the logistic map is carried out. Accurate rigorous bounds for periodic windows' end points are computed using interval arithmetic based tools. An efficient method to find the periodic window with the smallest period lying between two other periodic windows is proposed. The method is used to find periodic windows extremely close to selected points in the parameter space and to find a set of periodic windows to minimize the maximum gap between them. The maximum gap reached is 4×10-9. The phenomenon of the existence of regions free from low-period windows is explained.
期刊介绍:
Chaos: An Interdisciplinary Journal of Nonlinear Science is a peer-reviewed journal devoted to increasing the understanding of nonlinear phenomena and describing the manifestations in a manner comprehensible to researchers from a broad spectrum of disciplines.