Dynamic analysis of a stochastic microorganism flocculation model with two complementary nutrients and nonlinear perturbation

This paper considers a stochastic model of microorganism flocculation incorporating two complementary nutrients. By introducing nonlinear perturbation, we analyze the influence of flocculations, microorganisms, and two nutrients on the model dynamic. The paper proves the existence and uniqueness of the stationary distribution in the stochastic model. Moreover, sufficient conditions for the extinction of microorganisms are established. Numerical simulations indicate that nonlinear perturbation makes the growth process of microorganisms more unpredictable, better reflecting the complicated variations in real-world environments. Noise interference is not always detrimental, but appropriate noise levels may promote the growth of microorganisms.

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Publication Details

Journal
Advances in Continuous and Discrete Models
Published
2025-02-05
DOI
https://doi.org/10.1186/s13662-025-03900-4
Citations
2
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
3.76

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article

Dynamic analysis of a stochastic microorganism flocculation model with two complementary nutrients and nonlinear perturbation

Jinqiao Duan, Ke Guo, Rong Liu, Donghong Zhao
2 citations
Advances in Continuous and Discrete Models
Mathematical and Theoretical Epidemiology and Ecology Models
3.76
article

Dynamic analysis of a stochastic microorganism flocculation model with two complementary nutrients and nonlinear perturbation

Jinqiao Duan, Ke Guo, Rong Liu, Donghong Zhao
article en
2 citations

Abstract

This paper considers a stochastic model of microorganism flocculation incorporating two complementary nutrients. By introducing nonlinear perturbation, we analyze the influence of flocculations, microorganisms, and two nutrients on the model dynamic. The paper proves the existence and uniqueness of the stationary distribution in the stochastic model. Moreover, sufficient conditions for the extinction of microorganisms are established. Numerical simulations indicate that nonlinear perturbation makes the growth process of microorganisms more unpredictable, better reflecting the complicated variations in real-world environments. Noise interference is not always detrimental, but appropriate noise levels may promote the growth of microorganisms.

Advances in Continuous and Discrete ModelsVol. 2025(1)
Chongqing University of Posts and Telecommunications (CN), University of Science and Technology Beijing (CN)
National Natural Science Foundation of China, Chongqing University, Chongqing University of Posts and Telecommunications, University of Science and Technology Beijing, Fundamental Research Funds for the Central Universities
Zero hunger
Openalex Percentile: Top 9%
Mathematical and Theoretical Epidemiology and Ecology Models
3.76
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