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 (1.5 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Dynamics and density function of a HTLV-1 model with latent infection and Ornstein-Uhlenbeck process

Yan RenYan Cheng( )Yuzhen ChaiPing Guo
College of Mathematics, Taiyuan University of Technology, Taiyuan 030024, China
Show Author Information

Abstract

This paper examines the propagation dynamics of a T-lymphoblastic leukemia virus type Ⅰ (HTLV-1) infection model in a stochastic environment combined with an Ornstein-Uhlenbeck process. In conjunction with the theory of Lyapunov functions, we initially demonstrate the existence of a unique global solution to the model when initial values are positive. Subsequently, we establish a sufficient condition for the existence of a stochastic model stationary distribution. Based on this condition, the local probability density function expression of the model near the quasi-equilibrium point is solved by combining it with the Fokker-Planck equation. Subsequently, we delineate the pivotal conditions that precipitate the extinction of the disease. Finally, we select suitable data for numerical simulation intending to corroborate the theorem previously established.

CLC number: 60H10, 37A50

References

【1】
【1】
 
 
AIMS Mathematics
Pages 36444-36469

{{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:
Ren Y, Cheng Y, Chai Y, et al. Dynamics and density function of a HTLV-1 model with latent infection and Ornstein-Uhlenbeck process. AIMS Mathematics, 2024, 9(12): 36444-36469. https://doi.org/10.3934/math.20241728

92

Views

0

Downloads

0

Crossref

0

Web of Science

0

Scopus

Received: 17 September 2024
Revised: 25 November 2024
Accepted: 04 December 2024
Published: 15 December 2024
©2024 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)