Dynamic analysis of a stochastic regime-switching Lotka–Volterra competitive system with distributed delays and Ornstein–Uhlenbeck process

In this paper, we construct and analyze a stochastic regime-switching Lotka–Volterra competitive system with distributed delays and Ornstein–Uhlenbeck process. By the linear chain technique, we transform the stochastic model with weak kernel into an equivalent degenerate system. Firstly, we prove the existence and uniqueness of the global positive solution to the system. Then, we get the result of extinction and persistence in the mean of the x 1 and x 2 respectively. In addition, the sufficient conditions for the existence of the stationary distribution to the system are established by constructing some suitable Lyapunov functions. Finally, we provide some numerical examples to illustrate theoretical results, and some conclusions and analysis are given.

Authors

Institutions

Publication Details

Journal
Chaos Solitons & Fractals
Published
2024-11-29
DOI
https://doi.org/10.1016/j.chaos.2024.115765
Citations
7
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
3.80

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dynamic analysis of a stochastic regime-switching Lotka–Volterra competitive system with distributed delays and Ornstein–Uhlenbeck process

Xiaofeng Zhang, Rong Yuan, Chenfei Ma
7 citations
Chaos Solitons & Fractals
Mathematical and Theoretical Epidemiology and Ecology Models
3.80
article

Dynamic analysis of a stochastic regime-switching Lotka–Volterra competitive system with distributed delays and Ornstein–Uhlenbeck process

Xiaofeng Zhang, Rong Yuan, Chenfei Ma
article en
7 citations

Abstract

In this paper, we construct and analyze a stochastic regime-switching Lotka–Volterra competitive system with distributed delays and Ornstein–Uhlenbeck process. By the linear chain technique, we transform the stochastic model with weak kernel into an equivalent degenerate system. Firstly, we prove the existence and uniqueness of the global positive solution to the system. Then, we get the result of extinction and persistence in the mean of the x 1 and x 2 respectively. In addition, the sufficient conditions for the existence of the stationary distribution to the system are established by constructing some suitable Lyapunov functions. Finally, we provide some numerical examples to illustrate theoretical results, and some conclusions and analysis are given.

Chaos Solitons & FractalsVol. 190
Beijing Normal University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 6%
Mathematical and Theoretical Epidemiology and Ecology Models
3.80
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.