We generalize the result of T. Komorowski and G. Papanicolaou published in [7]. We consider the solution of stochastic differential equation dX(t) = V(t,X(t))dt+ 2κdB(t) where B(t) is a standard d-dimensional Brownian motion and V(t,x), (t,x) ∈ R × Rd is a d-dimensional, incompressible, stationary, random Gaussian field decorrelating in finite time. We prove that the weak limit as ε ↓ 0 of the family of rescaled processes Xε(t) = εX( t ε2) exists and may be identified as a certain Brownian motion.
We consider the stochastic equation X(t) = W(t) + βlX0(t), where W is a standard Wiener process and ...
Motivated by the central limit theorem for weakly dependent variables, we show that the Brownian mot...
Barbu V, Röckner M. Stochastic Variational Inequalities and Applications to the Total Variation Flow...
We generalize the result of T. Komorowski and G. Papanicolaou. We consider the solution of stochasti...
We use a Stochastic Differential Equation satisfied by Brownian motion taking values in the unit sph...
We consider a stochastic flow driven by a finite-dimensional Brownian motion. We show that almost ev...
Abstract We study a Gibbs measure over Brownian motion with a pair potential which depends only on t...
This dissertation is devoted to the equations of motion governing the evolution of a fluid or gas at...
We consider a stochastic jump flow in an interval (−a, b), where a, b> 0. Each particle of the fl...
2012-07-25The objective of this thesis is to study statistical inference of first and second order o...
AbstractOur primary aim is to “build” versions of generalised Gaussian processes from simple, elemen...
Consider an Ito ̂ process X satisfying the stochastic differential equation dX = a(X) dt + b(X) dW w...
Multivariate versions of the law of large numbers and the central limit theorem for martingales are ...
AbstractThe desymmetrization technique which was successfully used in C(S) spaces is carried over to...
We consider a stochastic flow driven by a finite-dimensional Brownian motion. We show that almost ev...
We consider the stochastic equation X(t) = W(t) + βlX0(t), where W is a standard Wiener process and ...
Motivated by the central limit theorem for weakly dependent variables, we show that the Brownian mot...
Barbu V, Röckner M. Stochastic Variational Inequalities and Applications to the Total Variation Flow...
We generalize the result of T. Komorowski and G. Papanicolaou. We consider the solution of stochasti...
We use a Stochastic Differential Equation satisfied by Brownian motion taking values in the unit sph...
We consider a stochastic flow driven by a finite-dimensional Brownian motion. We show that almost ev...
Abstract We study a Gibbs measure over Brownian motion with a pair potential which depends only on t...
This dissertation is devoted to the equations of motion governing the evolution of a fluid or gas at...
We consider a stochastic jump flow in an interval (−a, b), where a, b> 0. Each particle of the fl...
2012-07-25The objective of this thesis is to study statistical inference of first and second order o...
AbstractOur primary aim is to “build” versions of generalised Gaussian processes from simple, elemen...
Consider an Ito ̂ process X satisfying the stochastic differential equation dX = a(X) dt + b(X) dW w...
Multivariate versions of the law of large numbers and the central limit theorem for martingales are ...
AbstractThe desymmetrization technique which was successfully used in C(S) spaces is carried over to...
We consider a stochastic flow driven by a finite-dimensional Brownian motion. We show that almost ev...
We consider the stochastic equation X(t) = W(t) + βlX0(t), where W is a standard Wiener process and ...
Motivated by the central limit theorem for weakly dependent variables, we show that the Brownian mot...
Barbu V, Röckner M. Stochastic Variational Inequalities and Applications to the Total Variation Flow...