International audienceMotivated by studies of indirect measurements in quantum mechanics, we investigate stochastic differential equations with a fixed point subject to an additional infinitesimal repulsive perturbation. We conjecture, and prove for an important class, that the solutions exhibit a universal behavior when time is rescaled appropriately: by fine-tuning of the time scale with the infinitesimal repulsive perturbation, the trajectories converge in a precise sense to spiky trajectories that can be reconstructed from an auxiliary time-homogeneous Poisson process. Our results are based on two main tools. The first is a time change followed by an application of Skorokhod's lemma. We prove an effective approximate version of this lem...
International audienceQuantum trajectories are Markov processes that describe the time-evolution of ...
Grothaus M, Kondratiev Y, Lytvynov E, Röckner M. Scaling limit of stochastic dynamics in classical c...
What happens when a continuously evolving stochastic process is interrupted with large changes at ra...
International audienceMotivated by studies of indirect measurements in quantum mechanics, we investi...
17 pages, 2 figures, Preliminary versionWe analyze strong noise limit of some stochastic differentia...
International audienceWe consider stochastic partial differential equations (SPDEs) on the one-dimen...
We consider slow-fast systems of differential equations, in which both the slow and fast variables a...
AbstractWe consider slow–fast systems of differential equations, in which both the slow and fast var...
summary:We study the impact of small additive space-time white noise on nonlinear stochastic partial...
In this paper we present a rigorous asymptotic analysis for stochastic systems with two fast relaxat...
Consider a random process s that is a solution of the stochastic differential equation Ls = w with L...
We discuss the time evolution of the wave function which is solution of a stochastic Schroedinger eq...
This paper studies the zero noise limit for the solution of a class of one-dimensional stochastic di...
We consider slowly time-dependent stochastic partial differential equations (SPDEs) driven by space-...
The Ornstein-Uhlenbeck process may be used to generate a noise signal with a finite correlation time...
International audienceQuantum trajectories are Markov processes that describe the time-evolution of ...
Grothaus M, Kondratiev Y, Lytvynov E, Röckner M. Scaling limit of stochastic dynamics in classical c...
What happens when a continuously evolving stochastic process is interrupted with large changes at ra...
International audienceMotivated by studies of indirect measurements in quantum mechanics, we investi...
17 pages, 2 figures, Preliminary versionWe analyze strong noise limit of some stochastic differentia...
International audienceWe consider stochastic partial differential equations (SPDEs) on the one-dimen...
We consider slow-fast systems of differential equations, in which both the slow and fast variables a...
AbstractWe consider slow–fast systems of differential equations, in which both the slow and fast var...
summary:We study the impact of small additive space-time white noise on nonlinear stochastic partial...
In this paper we present a rigorous asymptotic analysis for stochastic systems with two fast relaxat...
Consider a random process s that is a solution of the stochastic differential equation Ls = w with L...
We discuss the time evolution of the wave function which is solution of a stochastic Schroedinger eq...
This paper studies the zero noise limit for the solution of a class of one-dimensional stochastic di...
We consider slowly time-dependent stochastic partial differential equations (SPDEs) driven by space-...
The Ornstein-Uhlenbeck process may be used to generate a noise signal with a finite correlation time...
International audienceQuantum trajectories are Markov processes that describe the time-evolution of ...
Grothaus M, Kondratiev Y, Lytvynov E, Röckner M. Scaling limit of stochastic dynamics in classical c...
What happens when a continuously evolving stochastic process is interrupted with large changes at ra...