AbstractTaking an odd, non-decreasing function β, we consider the (nonlinear) stochastic differential equation (Etilde)Xt=X0+Bt−12∫0tβ∗u(s,Xs)ds,t⩾0,P(Xt∈dx)=u(t,dx),t>0,and we prove the existence and uniqueness of solution of Eq. (E~), where β∗u(s,x)=∫Rβ(x−y)u(s,dy) and (Bt;t⩾0) is a one-dimensional Brownian motion, B0=0. We show that Eq. (E~)admits a stationary probability measure and investigate the link between Eq. (E~)and the associated system of particles
Stochastic differential equations arise typically in situations where for instance the time evolutio...
AbstractA class of systems of infinite horizon forward–backward stochastic differential equations is...
Second versionIn the context of self-stabilizing processes, that is processes attracted by their own...
AbstractTaking an odd, non-decreasing function β, we consider the (nonlinear) stochastic differentia...
AbstractWe now analyze the asymptotic behaviour of Xt, as t approaches infinity, X being solution of...
AbstractThis paper is concerned with a class of stochastic differential equations which arises by ad...
AbstractLet B be a 2-parameter Brownian motion on R+2. Consider the non-Markovian stochastic differe...
AbstractWe investigate the existence of invariant measures for self-stabilizing diffusions. These st...
In this paper we study general nonlinear stochastic differential equations, where the usual Brownian...
International audienceWe investigate the existence of invariant measures for self-stabilizing diffus...
In this paper we study general nonlinear stochastic differential equations, where the usual Brownian...
In this paper we study general nonlinear stochastic differential equations, where the usual Brownian...
In this paper we study general nonlinear stochastic differential equations, where the usual Brownian...
In this paper we study general nonlinear stochastic differential equations, where the usual Brownian...
International audienceSelf-stabilizing diffusions are stochastic processes, solutions of nonlinear s...
Stochastic differential equations arise typically in situations where for instance the time evolutio...
AbstractA class of systems of infinite horizon forward–backward stochastic differential equations is...
Second versionIn the context of self-stabilizing processes, that is processes attracted by their own...
AbstractTaking an odd, non-decreasing function β, we consider the (nonlinear) stochastic differentia...
AbstractWe now analyze the asymptotic behaviour of Xt, as t approaches infinity, X being solution of...
AbstractThis paper is concerned with a class of stochastic differential equations which arises by ad...
AbstractLet B be a 2-parameter Brownian motion on R+2. Consider the non-Markovian stochastic differe...
AbstractWe investigate the existence of invariant measures for self-stabilizing diffusions. These st...
In this paper we study general nonlinear stochastic differential equations, where the usual Brownian...
International audienceWe investigate the existence of invariant measures for self-stabilizing diffus...
In this paper we study general nonlinear stochastic differential equations, where the usual Brownian...
In this paper we study general nonlinear stochastic differential equations, where the usual Brownian...
In this paper we study general nonlinear stochastic differential equations, where the usual Brownian...
In this paper we study general nonlinear stochastic differential equations, where the usual Brownian...
International audienceSelf-stabilizing diffusions are stochastic processes, solutions of nonlinear s...
Stochastic differential equations arise typically in situations where for instance the time evolutio...
AbstractA class of systems of infinite horizon forward–backward stochastic differential equations is...
Second versionIn the context of self-stabilizing processes, that is processes attracted by their own...