We investigate the effective behaviour of a small transversal perturbation of order epsilon to a completely integrable stochastic Hamiltonian system, by which we mean a stochastic differential equation whose diffusion vector fields are formed from a completely integrable family of Hamiltonian functions H-i, i = 1, ..., n. An averaging principle is shown to hold and the action component of the solution converges, as epsilon -> 0, to the solution of a deterministic system of differential equations when the time is rescaled at 1/epsilon. An estimate for the rate of the convergence is given. In the case when the perturbation is a Hamiltonian vector field, the limiting deterministic system is constant in which case we show that the action compon...
We study stochastic perturbations of linear systems of the form dv(t) + Av(t) dt = εP (v(t))dt + √ ε...
AbstractWe are interested in perturbed Hamiltonian systems in a plane, which are damped and excited ...
Stochastic differential equations (SDEs) are used to describe several real-life phenomena whose unde...
We investigate the effective behaviour of a small transversal perturbation of order epsilon to a com...
Consider a stochastic differential equation whose diffusion vector fields are formed from an integra...
We consider a one-dimensional stochastic differential equation driven by a Wiener process, where the...
Abstract In this paper, we deal with the averaging principle for a two-time-scale system of jump-dif...
In Ergodic Theory it is natural to consider the pointwise convergence of finite time averages of fun...
We consider autonomous stochastic perturbations Ẋε(t) = ∇H(Xε(t)) + εb(Xε(t)) of Hamiltonian syste...
AbstractIn this note we present a unified approach, based on pde methods, for the study of averaging...
Cheng M, Liu Z, Röckner M. Averaging principle for stochastic complex Ginzburg-Landau equations. Jou...
We prove a stochastic averaging theorem for stochastic differential equations in which the slow and ...
In this paper, we are concerned with stochastic averaging principle for multi-valued McKean-Vlasov s...
We are interested in perturbed Hamiltonian systems in a plane, which are damped and excited by an ab...
Stochastic Differential Equations (SDEs) are excellent models used to describe several natu-ral and ...
We study stochastic perturbations of linear systems of the form dv(t) + Av(t) dt = εP (v(t))dt + √ ε...
AbstractWe are interested in perturbed Hamiltonian systems in a plane, which are damped and excited ...
Stochastic differential equations (SDEs) are used to describe several real-life phenomena whose unde...
We investigate the effective behaviour of a small transversal perturbation of order epsilon to a com...
Consider a stochastic differential equation whose diffusion vector fields are formed from an integra...
We consider a one-dimensional stochastic differential equation driven by a Wiener process, where the...
Abstract In this paper, we deal with the averaging principle for a two-time-scale system of jump-dif...
In Ergodic Theory it is natural to consider the pointwise convergence of finite time averages of fun...
We consider autonomous stochastic perturbations Ẋε(t) = ∇H(Xε(t)) + εb(Xε(t)) of Hamiltonian syste...
AbstractIn this note we present a unified approach, based on pde methods, for the study of averaging...
Cheng M, Liu Z, Röckner M. Averaging principle for stochastic complex Ginzburg-Landau equations. Jou...
We prove a stochastic averaging theorem for stochastic differential equations in which the slow and ...
In this paper, we are concerned with stochastic averaging principle for multi-valued McKean-Vlasov s...
We are interested in perturbed Hamiltonian systems in a plane, which are damped and excited by an ab...
Stochastic Differential Equations (SDEs) are excellent models used to describe several natu-ral and ...
We study stochastic perturbations of linear systems of the form dv(t) + Av(t) dt = εP (v(t))dt + √ ε...
AbstractWe are interested in perturbed Hamiltonian systems in a plane, which are damped and excited ...
Stochastic differential equations (SDEs) are used to describe several real-life phenomena whose unde...