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本文考虑离散时间风险模型$U_n=(U_{n-1}+Y_n)(1+r_n)-X_n$,$n=1,2,\cdots$, 其中$U_0=x>0$为保险公司的初始准备金,$r_n$为在第$n$个时刻的利率, $Y_n$为到时刻$n$为止的总保费收入,$X_n$为到时刻$n$为止的所支付的全部索赔,$U_n$表示保险公司在时刻$n$的盈余. 当$Y_n$和$r_n$满足某些温和条件时,我们得到了在\, $x\to\infty$时,有限时间破产概率$\psi(x,N)=\pr\big(\min\limits_{0\leq n\leqN}U_n<0|U_0=x\big)$关于$N\geq1$的一致渐近的关系式\,$\psi(x,N)\sim\tsm_{k=1}^{N}\ol{F}_X((1+r_1)\cdots(1+r_n)x)$,其中$\ol{F}_X(x)$是$X_1$的尾分布.     

跳扩散和随机利率模型下的欧式双向期权定价

假定股票价格的跳跃过程为一类特殊的更新跳过程,即事件发生时间间隔为相互独立且同服从Gamma分布的随机变量序列.利用鞅定价方法,用较简单的数学推导得到了在随机利率情形下跳扩散模型的欧式双向期权定价公式.     

变利率风险模型下破产概率的渐近估计

本文考虑变利率的离散时间风险模型的破产概率．在个体净损失服从ERV族和DnL族时,分别得到了有限时间和无限时间破产概率的渐近估计及上下界表达式,并利用matlab软件对有限时间破产概率的下界进行了数值模拟．     

马尔可夫状态转换加随机波动瞬时利率模型实证研究

文章对中国瞬时利率动态行为进行了实证研究,比较了一类马尔可夫状态转换加随机波动扩散模型。与以往研究不同,文章对模型所有参数采用基于Gibbs抽样的马尔可夫链蒙特卡罗模拟方法进行估计。同时,通过MAE(绝对误差平均值)、MRSE(平方误差均值)、调整R~2、对数损失函数LL以及非参数Wilcoxon检验对各种模型的样本内与样本外预测能力进行了分析与比较,结果表明:中国利率市场确实存在马尔可夫状态转换现象,其中Smith模型更适合刻画国内瞬时利率动态行为。     

具扩散的生物控制模型的渐进性

讨论了具有空间扩散的生物控制系统在齐次Neumann边界条件下解的整体性态.通过线性化方法给出了局部渐近稳定条件,通过构造Lyapunov函数给出了全局稳定性的证明.     

随机脉冲微分方程的渐近p稳定性

本文研究的是随机脉冲微分方程的渐近p稳定性.首先给出一些预备知识,然后运用Lyapunov函数建立随机脉冲微分方程平凡解的渐近p稳定性的充分条件.     

Asymptotic Stability of Nonlinear Stochastic Evolution Equations

Some results on the pathwise asymptotic stability of solutions to stochastic partial differential equations are proved. Special attention is paid in proving sufficient conditions ensuring almost sure asymptotic stability with a non-exponential decay rate. The situation containing some hereditary characteristics is also treated. The results are illustrated with several examples.     

随机利率下分数跳-扩散Ornstein-Uhlenbeck期权定价模型

假设股票价格遵循分数布朗运动和复合泊松过程驱动的随机微分方程,短期利率服从HullWhite模型,建立了随机利率情形下的分数跳-扩散Ornstein-Uhlenbeck期权定价模型,利用价格过程的实际概率测度和公平保费原理,得到了欧式看涨期权定价的解析表达式,推广了Black-Scholes模型.     

与年龄相关的模糊随机种群扩散系统的指数稳定性

讨论了一类与年龄相关的模糊随机种群扩散系统,系统受两种不确定性因素的影响,即随机和模糊.在有界和Lipschitz条件下,利用Ito公式和Gronwall引理,建立了均方意义下与年龄相关的模糊随机种群扩散系统指数稳定性的判定准则并通过数值例子对所给出的结论进行了验证.     

Hopfield神经网络系统的全局渐近稳定性的一个充分条件

本文考虑变系数变时滞的Hopfield神经网络系统dxi/dt=-bi(t)xi(t) ∑^nj=1aij(t)fj(λjxj(t-τij(t))) Ii(t)的全局惭近稳定性,获得了一个充分条件。     

具有可变时滞的Hopfield型随机神经网络的指数稳定性

研究了具有可变时滞的Ｈｏｐｆｉｅｌｄ型随机种经网络的指数稳定性,应用Ｒａｚｕｍｉｋｈｉｎ定理与 Ｌｙａｐｕｎｏｖ函数,建立了这种神经网络的均方指数稳定与几乎必然指数稳定的两类判据,一类是时 滞相关而另一类是时滞无关．     

Asymptotic Stability of Stochastic Delayed Recurrent Neural Networks with Impulsive Effects

In this paper, the asymptotic stability for a class of stochastic neural networks with time-varying delays and impulsive effects are considered. By employing the Lyapunov functional method, combined with linear matrix inequality optimization approach, a new set of sufficient conditions are derived for the asymptotic stability of stochastic delayed recurrent neural networks with impulses. A numerical example is given to show that the proposed result significantly improve the allowable upper bounds of delays over some existing results in the literature.     

一类随机泛函微分方程带随机步长的EM逼近的渐近稳定

研究了一类带有限延迟的随机泛函微分方程的Euler-Maruyama(EM)逼近，给出了该方程的带随机步长的EM算法，得到了随机步长的两个特点:首先，有限个步长求和是停时；其次，可列无限多个步长求和是发散的.最终，由离散形式的非负半鞅收敛定理，得到了在系数满足局部Lipschitz条件和单调条件下，带随机步长的EM数值解几乎处处收敛到0.该文拓展了2017年毛学荣关于无延迟的随机微分方程带随机步长EM数值解的结果.     

可变输入率M/M/n模型的动态解及其渐近稳定性

本文运用有界线性算子半群理论讨论了可变输入率M/M/n排队模型,证明模型主算子生成C0半群,并运用一定的技巧证明动态解渐近稳定到其定态解.     

Stability of Mild Solutions of Stochastic Evolution Equations with Variable Delay

Abstract

In this paper, we consider the existence and stability problems associated with semilinear stochastic evolution equations with variable delay in infinite dimensions. To be precise, we first study an existence result and then the exponential stability of a mild solution as well as asymptotic stability in probability of its sample paths. Such results are established employing a comparison principle under less restrictive hypothesis than the Lipschitz condition on the nonlinear terms. An application is included to illustrate the theory.     

Asymptotic Stability and Boundedness of Stochastic Differential Equations with Respect to Semimartingales

In this paper, we shall use multiple Lyapunov functions to establish some sufficient criteria for locating the limit sets of solutions of stochastic differential equations with respect to semimartingales. From them follow many useful results on stochastic asymptotic stability and boundedness, including some classical results as special cases. In particular, our new asymptotic stability criteria do not require the diffusion operator associated with the underlying stochastic differential equation be negative definite, while most of the existing results do require this negative definite property essentially.     

Almost Sure Asymptotic Stability of Stochastic Volterra Integro-Differential Equations with Fading Perturbations

Abstract

In this note, we address the question of how large a stochastic perturbation an asymptotically stable linear functional differential system can tolerate without losing the property of being pathwise asymptotically stable. In particular, we investigate noise perturbations that are either independent of the state or influenced by the current and past states. For perturbations independent of the state, we prove that the assumed rate of fading for the noise is optimal.     

变时滞随机模糊细胞神经网络稳定性分析(英文)

本文旨在研究一类带变时滞的随机模糊细胞神经网络的稳定性.通过构造恰当的Lyapunov泛函并运用线性矩阵不等式(LMI)理论,作者给出了保证这类神经网络全局渐近稳定的充分条件.本文推导出两个定理:一个用以判定文中模型的全局渐进稳定性,一个用以判定该模型在均方意义下的全局渐近稳定性.     

Attraction and Stochastic Asymptotic Stability and Boundedness of Stochastic Functional Differential Equations with Respect to Semimartingales

Abstract

In this paper, we will establish new results on the attraction for solutions to stochastic functional differential equations with respect to semimartingale. Most of the existing results stochastic stability use a single Lyapunov function, but we shall instead use multiple Lyapunov functions in the study of attraction. Moreover, from our results on the attraction follow several new criteria on almost surely asymptotic stability and boundedness of the solutions.