一类具有VCT意识的随机HIV/AIDS模型的动力学分析

建立了一类具有自愿咨询和检测(VCT)意识的随机HIV/AIDS传染病模型,利用停时理论等方法证明了随机模型正解的全局存在唯一性.其次,分析了该随机模型的解在相应确定性模型的无病平衡点与地方病平衡点附近的渐近行为,并得到了随机模型解的平均持续与灭绝性的充分条件.最后,通过数值模拟进一步显示了模型的动力学行为.     

带有标准发生率和信息干预的随机时滞SIRS传染病模型的动力学行为

考虑了一类具有标准发生率和信息干预的随机时滞SIRS传染病模型.定义了一个停时,通过构造适当的Lyapunov函数证明了停时为无穷大,从而证明了该模型正解的全局存在性和唯一性.通过构造适当的 Lyapunov函数,研究了该模型的解在确定性模型无病平衡点和地方病平衡点附近的渐近行为,得到了在一定条件下随机系统的解分别围绕两个平衡点做随机振动.     

一类具有双时滞的四种群的随机捕食-食饵模型的解及渐近行为

本文讨论了一类特殊的带有双时滞的四种群的随机捕食-食饵模型.我们首先证明了该随机捕食-食饵模型对正的初始条件存在着唯一的全局正解.然后,通过构造适当的Lyapunov函数并结合伊藤公式的应用,从解在平衡点附近的渐近行为这一方面对随机模型进行了讨论.最后,利用常微分方程数值模拟来验证本文定理中的主要结论.     

具有饱和发生率的随机SIRS流行病模型的渐近行为

考虑了一类具有饱和发生率的随机SIRS流行病模型.通过定义停时及利用李雅普诺夫函数,得到了随机SIRS流行病模型的解是全局存在唯一的,接着分析了解沿无病平衡点及地方病平衡点的渐近行为.在适当的参数条件下,证明了随机SIRS流行病模型具有遍历的平稳分布及解渐近服从三维正态分布这一主要结论.最后,数值模拟验证了所得到的主要结果.     

随机多群体SIRI传染病模型的动力学行为

本文研究具有随机多群体SIRI传染病模型的动力学行为.首先建立一类具有随机白噪声的多群体SIRI传染病模型,并给出模型正解的全局存在唯一性;然后,借助基本再生数和不可约矩阵性质,通过构造一系列新的Lyapunov函数,我们获得随机模型的解分别在时间均值意义下围绕无病平衡点和地方病平衡点做随机振动的渐近行为,并给出随机振动的幅度估计;进一步地,我们得到了系统的平稳分布和遍历性,所得结果推广和改进已有工作.     

一类具有校正隔离率随机SIQS模型的绝灭性与分布

该文探讨了一类具有校正隔离率的随机传染病模型,得到了该模型存在唯一的全局解.研究表明,当白噪声强度取较大值时,随机模型的解在无病平衡点附近是绝灭的,感染者的密度将指数衰减到零.当白噪声的强度较小时,随机模型的正解在地方病平衡点附近服从唯一的平稳分布.进而,若地方病平衡点是稳定的,在适当的条件下,该解渐近服从一个三维正态分布,且得到了均值与方差的表达式.最后,数值模拟图显示了该解的性质并对模型做出了合理的解释.     

一类具有非线性传染率的时滞SIR模型的分析

分析并建立具有时滞及非线性传染率的SIR传染病模型.通过分析在无病平衡点和正平衡点处的特征方程,可得到在这两个平衡点处的局部渐近稳定性,然后我们得到了系统在两个平衡点处的全局渐近稳定性,最后我们证明了系统的持久性.     

一类具有双时滞的HIV感染模型的研究（英文）

本文主要研究具有时滞和毒性淋巴细胞(CTL)免疫反应的HIV感染模型的动力学行为.分别引入两类时滞:一类描述新感染的细胞开始产生病毒所需的时间,另一类是控制病毒复制的免疫反应出现所需的时间.通过分析时滞对平衡点稳定性的影响,建立了系统的无病平衡点P0,地方病平衡点P1的局部渐近稳定性.并且证明了在一定条件下,在地方病平衡点附近时滞可以诱导产生Hopf分支.     

一类噬菌体死亡率受到噪声干扰的随机噬菌体-细菌模型研究

考虑了一类噬菌体死亡率受到白噪声干扰的随机噬菌体-细菌模型.主要研究了边界平衡点的随机渐近稳定性和随机模型的解围绕相应确定性模型正平衡点的振荡行为,并通过数值仿真验证了所得理论结果的正确性.     

一类具有Hassell-Varley效应的随机恒化器模型的渐近性分析

考虑了随机环境因素在对微生物的连续培养过程中的影响,研究了一类具有随机白噪声扰动因素下的Hassell-Varley型恒化器模型的渐近行为.首先利用停时证明了随机模型具有唯一的全局正解,其次利用Lyapunov函数和伊藤引理的方法获得了随机系统渐近稳定的充分条件,最后得到的限制条件保证了随机系统的解围绕正平衡点具有稳定的分布.     

Probabilistic stability analysis of social obesity epidemic by a delayed stochastic model

Sufficient conditions for stability in probability of the equilibrium point of a social obesity epidemic model with distributed delay and stochastic perturbations are obtained. The obesity epidemic model is demonstrated on the example of the Region of Valencia, Spain. The considered nonlinear system is linearized in the neighborhood of the positive point of equilibrium and a sufficient condition for asymptotic mean square stability of the zero solution of the constructed linear system is obtained.     

Asymptotic behavior of a Lotka–Volterra food chain stochastic model in the Chemostat

This article studies the asymptotic behavior of a stochastic Chemostat model with Lotka–Volterra food chain in which the dilution rate was influenced by white noise. The long-time behavior of the model is studied. Using Lyapunov function and Itô's formula, we show that there is a unique positive solution to the system. Moreover, the sufficient conditions for some population dynamical properties including the boundedness in mean and the stochastically asymptotic stability of the washout equilibrium were obtained. Furthermore, we show how the solutions spiral around the predator-free equilibrium and the positive equilibrium of deterministic system. Besides, the existence of the stationary distribution is proved for the considered model. Numerical simulations are introduced finally to support the obtained results.     

Stochastic persistence and stability analysis of a modified Holling–Tanner model

The article aims to study the basic dynamical features of a modified Holling–Tanner prey–predator model with ratio‐dependent functional response. We have proved the global existence of the solution for the deterministic model. The parametric restriction for persistence of both species is also obtained along with the proof of local asymptotic stability of the interior equilibrium point(s). Conditions for local bifurcations of interior equilibrium points are provided. The global dynamic behavior is examined thoroughly with supportive numerical simulation results. Next, we have formulated the stochastic model by perturbing the intrinsic growth rates of prey and predator populations with white noise terms. The existence uniqueness of solutions for stochastic model is established. Further, we have derived the parametric restrictions required for the persistence of the stochastic model. Finally, we have discussed the stochastic stability results in terms of the first and second order moments. Numerical simulation results are provided to support the analytical findings. Copyright © 2012 John Wiley & Sons, Ltd.     

Orbits in a stochastic Goodwin–Lotka–Volterra model

This paper examines the cycling behavior of a deterministic and a stochastic version of the economic interpretation of the Lotka–Volterra model, the Goodwin model. We provide a characterization of orbits in the deterministic highly non-linear model. We then study a stochastic version, with Brownian noise introduced via a heterogeneous productivity factor. Existence conditions for a solution to the system are provided. We prove that the system produces cycles around a unique equilibrium point in finite time for general volatility levels, using stochastic Lyapunov techniques for recurrent domains. Numerical insights are provided.     

Dynamical Analysis for a General Jerky Equation with Random Excitation

A general jerky equation with random excitation is investigated in this paper. Before introducing the random excitation term, the equation is reduced to a two-dimensional model when undergoing a Hopf bifurcation. Then the model with the parametric excitation and external excitation is converted to a stochastic differential equation with singularity based on the stochastic average theory. For the equation, its dynamical behaviors are analyzed in different parameters'' spaces, including the stability, stochastic bifurcation and stationary solution. Besides, numerical simulations are given to show the asymptotic behavior of the stationary solution.     

The long time behavior of DI SIR epidemic model with stochastic perturbation

In this paper, we present a DI SIR epidemic model with two categories stochastic perturbations. The long time behavior of the two stochastic systems is studied. Mainly, we show how the solution goes around the infection-free equilibrium and the endemic equilibrium of deterministic system under different conditions.     

Threshold dynamics in a stochastic SIRS epidemic model with nonlinear incidence rate

We discuss the dynamic of a stochastic Susceptible-Infectious-Recovered-Susceptible (SIRS) epidemic model with nonlinear incidence rate.The crucial threshold $\tilde{R}_0$ is identified and this will determine the extinction and persistence of the epidemic when the noise is small. We also discuss the asymptotic behavior of the stochastic model around the endemic equilibrium of the corresponding deterministic system. When the noise is large, we find that a large noise intensity has the effect of suppressing the epidemic, so that it dies out. Finally, these results are illustrated by computer simulations.     

Delay model of glucose-insulin systems: Global stability and oscillated solutions conditional on delays

Recently P. Palumbo, S. Panunzi and A. De Gaetano analyzed a delay model of the glucose-insulin system. They proved its persistence, the existence of a unique positive equilibrium point, as well as the local stability of this point. In this paper we consider further the uniform persistence of such equilibrium solutions and their global stability. Using the omega limit set of a persistent solution and constructing a full time solution, we also investigate the effect of delays in connection with the behavior of oscillating solutions to the system. The model is shown to admit global stability under certain conditions of the parameters. It is also shown that the model admits slowly oscillating behavior, which demonstrates that the model is physiologically consistent and actually applicable to diabetological research.     

Asymptotic stability of one prey and two predators model with two functional responses

We formulate a mathematical model to study the complex dynamical behavior of a three dimensional model consisting of one prey and two predators involving Beddington–DeAngelis and Crowley–Martin functional responses. The existence and stability conditions of the equilibrium points are analyzed. The global asymptotic stability of the interior equilibrium point, if exists, is proved by considering Lyapunov function. Several numerical simulations are performed to illustrate the theoretical analysis. The multiple states of stability are observed in one example whereas another example exhibits the global stability of interior equilibrium point.