Random periodic solutions of nonautonomous stochastic feedback systems with multiplicative noise
Zhao Dong, Weili Zhang, Zuohuan Zheng

TL;DR
This paper proves the existence and convergence of random periodic solutions in nonautonomous stochastic feedback systems with multiplicative noise, demonstrating their stability and applicability to various biological and ecological models.
Contribution
It establishes the existence of random periodic solutions and their almost sure convergence in nonautonomous stochastic feedback systems with multiplicative noise, a novel theoretical result.
Findings
Existence of random periodic solutions proven
Pull-back trajectories converge to these solutions
Applicable to biological and ecological systems
Abstract
We investigate the dynamical behavior of pull-back trajectories for nonautonomous stochastic feedback systems with multiplicative noise. We proved that there exists a random periodic solution of this system and all pull-back trajectories converge to this random periodic solution as time goes to infinitely almost surely. Our results can be applied to nonautonomous stochastic Goodwin negative feedback system, nonautonomous stochastic Othmer-Tyson positive feedback system and nonautonomous stochastic competitive systems etc.
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Taxonomy
TopicsStability and Controllability of Differential Equations · Stochastic processes and financial applications · Nonlinear Differential Equations Analysis
