We consider a Langevin process with white noise random forcing. We suppose that the energy of the particle is instantaneously absorbed when it hits some fixed obstacle. We show that nonetheless, the particle can be in-stantaneously reflected, and study some properties of this reflecting solution. 1. Introduction. Langevin [9] introduced a probabilistic model to describe the evolution of a particle under random external forcing. Langevin’s motion has smooth trajectories, in the sense that if Yt stands for the position of the particle at time t, then the velocity Ẏt: = dYt/dt is well defined and finite everywhere. We assume that the external force (i.e., the derivative of the velocity) is a white noise
The Langevin equation (LE) for the one-dimensional relativistic Brownian motion is derived from a mi...
We develop a general approach for studying the cumulative probability distribution function of local...
We study the Langevin equation of a point particle driven by random noise, modeled as a two-state Ma...
We consider a Langevin process with white noise random forcing. We suppose that the energy of the pa...
AbstractConsider a Langevin process, that is an integrated Brownian motion, constrained to stay in [...
It was shown recently that a Langevin process can be reflected at an energy absorbing boundary. Here...
The Fractional Langevin equation describes the motion of a particle under the influence of a random ...
International audienceColloidal particles that experience perfectly elastic collisions can be modell...
27 pages, 1 figureConsider a Langevin process, that is an integrated Brownian motion, constrained to...
The problem of biological motion is a very intriguing and topical issue. Many efforts are being focu...
The generalised Langevin equation with a retarded friction and a double-well potential is solved. Th...
26 pages, 6 figuresInternational audienceIn a recent article, Krapivsky and Redner (J. Stat. Mech. 0...
We study the motion of a particle governed by a generalized Langevin equation. We show that, when no...
In this note, we consider the construction of a one-dimensional stable Langevin type process confine...
We develop a general approach for studying the cumulative probability distribution function of local...
The Langevin equation (LE) for the one-dimensional relativistic Brownian motion is derived from a mi...
We develop a general approach for studying the cumulative probability distribution function of local...
We study the Langevin equation of a point particle driven by random noise, modeled as a two-state Ma...
We consider a Langevin process with white noise random forcing. We suppose that the energy of the pa...
AbstractConsider a Langevin process, that is an integrated Brownian motion, constrained to stay in [...
It was shown recently that a Langevin process can be reflected at an energy absorbing boundary. Here...
The Fractional Langevin equation describes the motion of a particle under the influence of a random ...
International audienceColloidal particles that experience perfectly elastic collisions can be modell...
27 pages, 1 figureConsider a Langevin process, that is an integrated Brownian motion, constrained to...
The problem of biological motion is a very intriguing and topical issue. Many efforts are being focu...
The generalised Langevin equation with a retarded friction and a double-well potential is solved. Th...
26 pages, 6 figuresInternational audienceIn a recent article, Krapivsky and Redner (J. Stat. Mech. 0...
We study the motion of a particle governed by a generalized Langevin equation. We show that, when no...
In this note, we consider the construction of a one-dimensional stable Langevin type process confine...
We develop a general approach for studying the cumulative probability distribution function of local...
The Langevin equation (LE) for the one-dimensional relativistic Brownian motion is derived from a mi...
We develop a general approach for studying the cumulative probability distribution function of local...
We study the Langevin equation of a point particle driven by random noise, modeled as a two-state Ma...