Linear multiplicative noise destroys a two-dimensional attractive compact manifold of three-dimensional Kolmogorov systems

In this paper, we first provide the necessary and sufficient algebraic conditions for the three-dimensional Kolmogorov systems possessing a two-dimensional invariant sphere in [Formula: see text]. Then, we establish a global attracting criterion for this invariant sphere in [Formula: see text] except the origin and give global dynamics with isolated equilibria on the sphere. Finally, we consider the persistence of the attractive invariant sphere under the perturbation induced by linear multiplicative Wiener noise and focus on if stochastic bifurcations occur. It is shown that suitable noise intensity can destroy the sphere and lead to bifurcations of stationary measures.

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Publication Details

Journal
Stochastics and Dynamics
Published
2025-12-01
DOI
https://doi.org/10.1142/s0219493725500388
Primary Topic
stochastic dynamics and bifurcation
Type
article
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article

Linear multiplicative noise destroys a two-dimensional attractive compact manifold of three-dimensional Kolmogorov systems

Dongmei Xiao, Shankai Yin, Chenwan Zhou
Stochastics and Dynamics
stochastic dynamics and bifurcation
article

Linear multiplicative noise destroys a two-dimensional attractive compact manifold of three-dimensional Kolmogorov systems

Dongmei Xiao, Shankai Yin, Chenwan Zhou
article en

Abstract

In this paper, we first provide the necessary and sufficient algebraic conditions for the three-dimensional Kolmogorov systems possessing a two-dimensional invariant sphere in [Formula: see text]. Then, we establish a global attracting criterion for this invariant sphere in [Formula: see text] except the origin and give global dynamics with isolated equilibria on the sphere. Finally, we consider the persistence of the attractive invariant sphere under the perturbation induced by linear multiplicative Wiener noise and focus on if stochastic bifurcations occur. It is shown that suitable noise intensity can destroy the sphere and lead to bifurcations of stationary measures.

Stochastics and DynamicsVol. 25(07n08)
Shanghai Jiao Tong University (CN), New York University Shanghai (CN), Shandong Institute of Business and Technology (CN)
Openalex Percentile: Top 69%
stochastic dynamics and bifurcation
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