AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (368 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Phase transition for piecewise linear fibonacci bimodal map

Haoyang Ji1( )Wenxiu Ma2
School of Mathematics and Statistics, Zhengzhou University, Zhengzhou 450001, China
School of Mathematical Sciences, University of Science and Technology of China, Hefei 230026, China
Show Author Information

Abstract

In this paper we concern with the Fibonacci bimodal maps. We first study the topological properties of the Fibonacci bimodal maps in the context of kneading map and give an equivalent description of Fibonacci combinatorics. Then we construct a one-parameter family f λ of countably piecewise linear Fibonacci bimodal maps depending on the parameter λ which are all odd functions. By a random walk argument on its induced Markov map, we will show that a phase transition occurs from Lebesgue conservative to Lebesgue dissipative behaviors.

CLC number: 37E05, 37A10

References

【1】
【1】
 
 
AIMS Mathematics
Pages 8403-8430

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Ji H, Ma W. Phase transition for piecewise linear fibonacci bimodal map. AIMS Mathematics, 2023, 8(4): 8403-8430. https://doi.org/10.3934/math.2023424

190

Views

3

Downloads

0

Crossref

0

Web of Science

0

Scopus

Received: 22 September 2022
Revised: 17 January 2023
Accepted: 19 January 2023
Published: 15 April 2023
©2023 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)