解析函数空间中复合算子的平均遍历性

本文研究了复合算子的遍历性问题.利用经典算子理论的方法,获得了单位圆上加权Banach空间中复合算子遍历性的结果,我们还得到单位圆上Hardy空间中类似的结果,我们的结论是对乘子算子相关结果的推广.     

随机环境中马氏链的强遍历性

本文研究了随机环境中单链■的强遍历性,得到了单链强遍历的充分条件以及与强遍历性等价的一些形式.利用鞅收敛定理,给出了单链强遍历下尾的结构,最后证明了在环境平稳的条件下,强遍历、平凡尾、弱遍历三者之间的关系,推广了经典马氏链理论中相应的结果.     

关于 Markov 算子弱混和性质的一个注记

设P是L∞(X,∑,m)上的Markov算子,Q是任一具有有限不变测度并且遍历的 Markov 算子,在这篇注记中我们给出了P的混和性和 Cartesian 积P×Q的遍历性相互等价这一结果的直接而简单的证明.     

Dynamics of a Stochastic SIR Epidemic Model with Logistic Growth

In this paper, a stochastic SIR epidemic model with saturated treatment function, non-monotone incidence rate and logistic growth is studied. First, we prove that the stochastic model has a unique global positive solution. Next, by constructing a suitable Lyapunov function, we can show that there exists an ergodic stationary distribution in the random SIR model. Then, we show that a sufficient condition can make the disease tend to extinction. Finally, some numerical simulations are used to prove our analytical result.     

Regularity of transition densities and ergodicity for affine jump-diffusions

This paper studies the transition density and exponential ergodicity for affine processes on the canonical state space ${\mathbb{R}}_{\ge 0}^m\times {\mathbb{R}}^n$. Under a Hörmander-type condition for diffusion components as well as a boundary nonattainment condition, we derive the existence and regularity of the transition densities and then prove the strong Feller property of the associated semigroup. Moreover, we also show that, under an additional subcriticality condition on the drift, the corresponding affine process is exponentially ergodic in the total variation distance.     

Polynomial ergodicity of an SIRS epidemic model with density-dependent demographics

In this paper, a stochastic susceptible-infective-recovered-susceptible (SIRS) model with density-dependent demographics is proposed to study the dynamics of transmission of infectious diseases under stochastic environmental fluctuations. We demonstrate that the position of the basic reproduction number $R_0^s$ with respect to 1 is the threshold between extinction and persistence of the disease under mild extra conditions. That is, under mild extra conditions, when , the disease is eradicated with probability 1; when $R_0^s>1$, the disease is persistent almost surely and the Markov process has a unique stationary distribution and is polynomial ergodic. As an application, we use the 2017 influenza A data from Western Asia to estimate the parameter values of the model and based on that investigate the effect of random noises on the dynamics of the model. Our study reveals that the basic reproduction number $R_0^s$ is negatively correlated with the noise intensity for the infected but positively correlated with that for the susceptible population, which are different from the findings obtained in the existing literature.     

p-进单项式动力系统严格遍历分解的一个新证明

本文研究了p-进单项式动力系统的严格遍历分解.利用代数数论的理论和Halmos与von Neumann定理,给出了p-进单项式动力系统严格遍历分解的一个新证明.