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 (755.2 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

Boundedness and stability analysis of the two species predator-prey model with prey-taxis and nonlinear growth rate in predator

Jianhua Li1YingYuan Mi2( )
School of Mathematics, Hexi University, Gansu 734000, China
School of Mathematics and Computer Science, Northwest Minzu University, Lanzhou 730030, China
Show Author Information

Abstract

In this paper, we study initial-boundary value problem of a predator-prey model with taxis strategies and a nonlinear growth rate for the predator. We establish that, for any spatial dimension ( N 1 ), the model admits positive classical solutions that are globally existent and uniformly bounded. Our results demonstrate that the nonlinear growth rate can effectively restrain the aggregation of predators. Furthermore, by constructing a suitable energy functional and combining it with the previously established uniform boundedness result, we analyze the global asymptotic stability of the coexistence steady state.

References

【1】
【1】
 
 
Electronic Research Archive
Pages 7509-7527

{{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:
Li J, Mi Y. Boundedness and stability analysis of the two species predator-prey model with prey-taxis and nonlinear growth rate in predator. Electronic Research Archive, 2025, 33(12): 7509-7527. https://doi.org/10.3934/era.2025331

185

Views

2

Downloads

0

Crossref

0

Web of Science

0

Scopus

Received: 13 October 2025
Revised: 29 November 2025
Accepted: 05 December 2025
Published: 15 December 2025
©2025 the Author(s), licensee AIMS Press.

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