The objective of this paper is to use the Lyapunov function to study the almost sure exponential stability of the stochastic differential equation phi(t) = x + integral-t/o F(phi(S), ds) where F(x, t) is a continuous C-semimartingale with spatial parameter x. This equation includes many important stochastic systems, for example, the classical Ito equation. More importantly, our result can be employed to study the bound of the Lyapunov exponent of stochastic flows
We give several examples and examine case studies of linear stochastic functional differential equat...
In this thesis we use viscosity methods to study some stability properties of the equilibria of cont...
Using key tools such as Itô’s formula for general semimartingales, Kunita’s moment estimates for Le...
Stability in the Lyapunov sense for deterministic systems has been well studied since the beginning ...
Consider a stochastic differential equation with respect to semimartingales dX(t)=AX(t)d[mu](t)+G(X(...
Stability of stochastic differential equations (SDEs) has become a very popular theme of recent rese...
This article presents a brief survey on the use of Lyapunov method for stochastic differential equat...
This article presents a brief survey on the use of Lyapunov method for stochastic differential equat...
AbstractConsider a stochastic differential equation with respect to semimartingales dX(t)=AX(t)dμ(t)...
Our goal is to relax a sufficient condition for the exponential almost sure stability of a certain c...
This paper is mainly concerned with whether the almost sure exponential stability of stochastic diff...
The objective of this paper is to investigate the almost sure exponential stability of a delay stoch...
By the continuous and discrete nonnegative semimartingale convergence theorems, this paper investiga...
The aim of this paper is to investigate the almost surely polynomial stability of the stochastic dif...
Abstract. In this article we consider nonlinear stochastic differential systems and use Lyapunov fun...
We give several examples and examine case studies of linear stochastic functional differential equat...
In this thesis we use viscosity methods to study some stability properties of the equilibria of cont...
Using key tools such as Itô’s formula for general semimartingales, Kunita’s moment estimates for Le...
Stability in the Lyapunov sense for deterministic systems has been well studied since the beginning ...
Consider a stochastic differential equation with respect to semimartingales dX(t)=AX(t)d[mu](t)+G(X(...
Stability of stochastic differential equations (SDEs) has become a very popular theme of recent rese...
This article presents a brief survey on the use of Lyapunov method for stochastic differential equat...
This article presents a brief survey on the use of Lyapunov method for stochastic differential equat...
AbstractConsider a stochastic differential equation with respect to semimartingales dX(t)=AX(t)dμ(t)...
Our goal is to relax a sufficient condition for the exponential almost sure stability of a certain c...
This paper is mainly concerned with whether the almost sure exponential stability of stochastic diff...
The objective of this paper is to investigate the almost sure exponential stability of a delay stoch...
By the continuous and discrete nonnegative semimartingale convergence theorems, this paper investiga...
The aim of this paper is to investigate the almost surely polynomial stability of the stochastic dif...
Abstract. In this article we consider nonlinear stochastic differential systems and use Lyapunov fun...
We give several examples and examine case studies of linear stochastic functional differential equat...
In this thesis we use viscosity methods to study some stability properties of the equilibria of cont...
Using key tools such as Itô’s formula for general semimartingales, Kunita’s moment estimates for Le...