Mild Solutions of Neutral Stochastic Partial Functional Differential Equations

Mild Solutions of Neutral Stochastic Partial Functional Differential Equations

Existence and Stability of Mild Solutions to Impulsive Stochastic Neutral Partial Functional Differential Equations

In this article, we study a class of impulsive stochastic neutral partial functional differential equations in a real separable Hilbert space. By using Banach fixed point theorem, we give sufficient conditions for the existence and uniqueness of a mild solution. Also the exponential p-stability of a mild solution and its sample paths are obtained.

Exponential stability of mild solutions to impulsive stochastic neutral partial differential equations with memory

*Correspondence: [email protected]; [email protected] 1School of Mathematics & Computer Science, Wuhan Polytechnic University, Wuhan, Hubei, China 2School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan, Hubei, China Abstract In this paper, we study the exponential stability in the pth moment of mild solutions to impulsive stochastic neutral partial differential e...

Asymptotic Stability of Stochastic Impulsive Neutral Partial Functional Differential Equations

In this paper the authors study the existence and asymptotic stability in p-th moment of mild solutions to stochastic neutral partial differential equation with impulses. Their method for investigating the stability of solutions is based on the fixed point theorem.

Numerical Solutions of Neutral Stochastic Functional Differential Equations

This paper examines the numerical solutions of neutral stochastic functional differential equations (NSFDEs) d[x(t)− u(xt)] = f(xt)dt + g(xt)dw(t), t ≥ 0. The key contribution is to establish the strong mean square convergence theory of the Euler– Maruyama approximate solution under the local Lipschitz condition, the linear growth condition and the contractive mapping. These conditions are gene...