Markov调制的随机微分延迟方程的函数稳定性

随机微分延迟方程的指数稳定性被人们广泛研究,但讨论带Markov调制的随机微分延迟方程的函数稳定性的不多.本文主要研究了两种类型的函数稳定性.我们采用了一例特定的Lyapunov函数,来研究带Markov调制的随机微分延迟方程的p阶矩ψα-函数稳定性,并对其几乎必然ψβ/p-函数稳定性也进行了探讨.     

基于模块脉冲函数的非线性随机It\^{o}-Volterra积分方程数值解[英文]

为求解非线性随机It\^{o}-Volterra积分方程, 本文介绍了一种基于模块脉冲函数的有效数值方法. 运用模块脉冲函数的积分算子矩阵将非线性随机积分方程转化为代数方程. 通过误差分析, 证明该方法收敛速度良好. 最后, 利用实例验证了此方法的有效性.     

比较原理与Markov调制的随机时滞系统的稳定性

建立了Markov调制的具可变时滞的随机非线性系统的比较原理, 并用比较原理给出了系统依概率稳定、概率渐近稳定、 p阶均值稳定、 p阶均值渐近稳定、 p阶均值指数稳定的判别准则.最后举例说明了文中结果的应用.     

加性和乘性噪声对随机偏微分方程的激励性（英文）

本文研究加性噪声和乘性噪声对一类随机偏微分方程激励性问题.利用It?公式和能量估计方法方法,得出在两种不同噪声下,相对应的随机偏微分方程噪声激励指标不同.从而从这个角度来看,加性噪声与乘性噪声对随机偏微分方程的影响是不一样的.     

Markov调制的随机泛函微分方程解的渐近性质

本文主要给出了一个新的条件,这个条件能够确保Markov调制的非线性随机泛函微分方程存在唯一解,同时这个解矩有界,时间平均矩有界.这个条件只是以局部Lipschitz条件为前提,线性增长条件不再是前提条件.本文的方程系数可以为多项式增长或被多项式增长限制.     

带磁场的一维Schr\"{o}dinger方程的逆散射问题

本文研究带磁场的一维Schr\"{o}dinger方程的逆散射问题. 利用其散射矩阵的有关性质以及函数变换的方法, 获得位势$p$可以被散射系数决定的结果, 并推广了迹公式的成立范围.     

随机时滞2D-Navier-Stokes方程的指数稳定性

由于流体受到某些遗传和不确定信息外力的影响,考虑了含时变时滞随机外力的2D-Navier-Stokes方程.借助随机分析中的It6公式和Burkholder-Davis-Gundy不等式,证明了大粘性系数情形方程整体弱解的均方指数稳定和几乎必然指数稳定.     

随机Cohen-Grossberg-type BAM神经网络的均方指数稳定性

通过构造Lyapunov函数,利用随机微分的It(ο)公式,研究了一类含有时滞的随机Cohen-Grossberg-type BAM神经网络的均方指数稳定性,并给出判定的条件,最后举例子说明结果的正确性.     

与年龄相关的随机时滞种群方程的指数稳定性

本文研究了与年龄相关的随机时滞种群方程,运用Burkholder-Davis-Gundy定理和改进的 coercivity条件,建立了均方意义和几乎处处意义下与年龄相关的随机时滞种群方程稳定性的判定准则,得到了保证强解稳定的若干充分条件．     

非线性分数阶积分微分发展方程适度解的存在唯一性（英文）

本文研究一类在Banach空间中分数阶积分微分发展方程的问题,利用分数阶幂算子和解析半群理论来证明所给方程适度解的存在唯一性.并进一步给出适度解的H?lder连续性.     

Neutral Stochastic Differential Delay Equations with Markovian Switching

Abstract

Neutral stochastic differential delay equations (NSDDEs) have recently been studied intensively (see Kolmanovskii, V.B. and Nosov, V.R., Stability and Periodic Modes of Control Systems with Aftereffect; Nauka: Moscow, 1981 and Mao X., Stochastic Differential Equations and Their Applications; Horwood Pub.: Chichester, 1997). Given that many systems are often subject to component failures or repairs, changing subsystem interconnections and abrupt environmental disturbances etc., the structure and parameters of underlying NSDDEs may change abruptly. One way to model such abrupt changes is to use the continuous‐time Markov chains. As a result, the underlying NSDDEs become NSDDEs with Markovian switching which are hybrid systems. So far little is known about the NSDDEs with Markovian switching and the aim of this paper is to close this gap. In this paper we will not only establish a fundamental theory for such systems but also discuss some important properties of the solutions e.g. boundedness and stability.     

马尔可夫调制的随机时滞微分方程的吸引性

利用It(o)公式和局部鞅收敛定理,确立了马尔可夫调制的随机时滞微分方程吸引性的充分条件;通过适当将条件加强,从而得到了方程更好的吸引性.同时为有界性和稳定性的新准则的确立奠定了基础.     

Khasminskii-Type Theorems for Stochastic Differential Delay Equations

Abstract

The classical Khasminskii theorem (see [6 Khasminskii , R. Z. 1980 . Stochastic Stability of Differential Equations . Alphen : Sijtjoff and Noordhoff (translation of the Russian edition, Moscow: Nauka 1969) .[Crossref] , [Google Scholar]]) on the nonexplosion solutions of stochastic differential equations (SDEs) is very important since it gives a powerful test for SDEs to have nonexplosion solutions without the linear growth condition. Recently, Mao [13 Mao , X. 2002 . A note on the LaSalle-type theorems for stochastic differential delay equations . J. Math. Anal. Appl. 268 : 125 – 142 . [CSA] [CROSSREF] [Crossref], [Web of Science ®] , [Google Scholar]] established a Khasminskii-type test for stochastic differential delay equations (SDDEs). However, the Mao test can not still be applied to many important SDDEs, e.g., the stochastic delay power logistic model in population dynamics. The main aim of this paper is to establish an even more general Khasminskii-type test for SDDEs that covers a wide class of highly nonlinear SDDEs. As an application, we discuss a stochastic delay Lotka-Volterra model of the food chain to which none of the existing results but our new Khasminskii-type test can be applied.     

Stability in Terms of Two Measures for Stochastic Differential Equations with Markovian Switching

Abstract

In this paper, we investigate the stability in terms of two measures for stochastic differential equations with Markovian switching by using the method of Lyapunov functions. Our new theory can not only be used to show a given system to be stochastically stable in the classical sense, but can also be used to deal with some situations where the classical stability theory is not applicable.     

B空间中无限时滞随机泛函微分方程解的估计

本文研究B空间中无限时滞随机泛函微分方程解的估计.利用BDG不等式和It(o)公式及基本不等式,得到该方程解的p阶矩估计、样本Liapunov指数估计以及解的连续性等主要结果.     

Stability of a stochastic SEIS model with saturation incidence and latent period

In this paper, a stochastic SEIS epidemic model with a saturation incidence rate and a time delay describing the latent period of the disease is investigated. The model inherits the endemic steady state from its corresponding deterministic counterpart. We first show the existence and uniqueness of the global positive solution of the model. Then, by constructing Lyapunov functionals, we derive sufficient conditions ensuring the stochastic stability of the endemic steady state. Numerical simulations are carried out to confirm our analytical results. Furthermore, our simulation results shows that the existence of noise and delay may cause the endemic steady state to be unstable.     

随机扰动下的非自治种群的随机持久性(英文)

本文考虑非线性随机扰动下的生态种群的问题.首先给出全局正解的存在性.其次,在合理的条件下讨论随机最终有界和随机持久问题,同时也给出解的渐近估计.     

The dynamic behavior of deterministic and stochastic delayed SIQS model

In this paper, we present the deterministic and stochastic delayed SIQS epidemic models. For the deterministic model, the basic reproductive number $R_{0}$ is given. Moreover, when $R_{0}<1$, the disease-free equilibrium is globally asymptotical stable. When $R_{0}>1$ and additional conditions hold, the endemic equilibrium is globally asymptotical stable. For the stochastic model, a sharp threshold $\overset{\wedge }{R}_{0}$ which determines the extinction or persistence in the mean of the disease is presented. Sufficient conditions for extinction and persistence in the mean of the epidemic are established. Numerical simulations are also conducted in the analytic results.