The friction coefficient of a particle can depend on its position, as it does when the particle is near a wall. We formulate the dynamics of particles with such state-dependent friction coefficients in terms of a general Langevin equation with multiplicative noise, whose evaluation requires the introduction of specific rules. Two common conventions, the Ito and the Stratonovich, provide alternative rules for evaluation of the noise, but other conventions are possible. We show that the requirement that a particle’s distribution function approach the Boltzmann distribution at long times dictates that a drift term must be added to the Langevin equation. This drift term is proportional to the derivative of the diffusion coefficient times a fact...
The lecture outlines the most important mathematical facts about stochastic processes which are desc...
We consider the dynamics of systems with arbitrary friction and diffusion. These include, as a speci...
In this article, we present several algorithms for stochastic dynamics, including Langevin dynamics ...
The friction coefficient of a particle can depend on its position, as it does when the particle is n...
The state-dependent diffusion, which concerns the Brownian motion of a particle in inhomogeneous med...
The present work is concerned with the study of a generalized Langevin equation and its link to the ...
The diffusion of colloids inside an active system-e.g. within a living cell or the dynamics of activ...
We study two important aspects of the diffusion of a free particle in the presence of a time-depende...
Aiming to establish a rigorous link between macroscopic random motion (described e.g. by Langevin-ty...
Inspired by problems in biochemical kinetics, we study statistical properties of an overdamped Lange...
Wiener's path integral theory is revisited, stressing that it holds only when the condition of local...
A Langevin equation is suggested to describe a system driven by correlated Gaussian white noise as w...
We study the motion of a particle governed by a generalized Langevin equation. We show that, when no...
doi:10.1088/1367-2630/9/5/136 Abstract. Nonlinear Brownian motion (BM) refers to cases where the dam...
The problem of biological motion is a very intriguing and topical issue. Many efforts are being focu...
The lecture outlines the most important mathematical facts about stochastic processes which are desc...
We consider the dynamics of systems with arbitrary friction and diffusion. These include, as a speci...
In this article, we present several algorithms for stochastic dynamics, including Langevin dynamics ...
The friction coefficient of a particle can depend on its position, as it does when the particle is n...
The state-dependent diffusion, which concerns the Brownian motion of a particle in inhomogeneous med...
The present work is concerned with the study of a generalized Langevin equation and its link to the ...
The diffusion of colloids inside an active system-e.g. within a living cell or the dynamics of activ...
We study two important aspects of the diffusion of a free particle in the presence of a time-depende...
Aiming to establish a rigorous link between macroscopic random motion (described e.g. by Langevin-ty...
Inspired by problems in biochemical kinetics, we study statistical properties of an overdamped Lange...
Wiener's path integral theory is revisited, stressing that it holds only when the condition of local...
A Langevin equation is suggested to describe a system driven by correlated Gaussian white noise as w...
We study the motion of a particle governed by a generalized Langevin equation. We show that, when no...
doi:10.1088/1367-2630/9/5/136 Abstract. Nonlinear Brownian motion (BM) refers to cases where the dam...
The problem of biological motion is a very intriguing and topical issue. Many efforts are being focu...
The lecture outlines the most important mathematical facts about stochastic processes which are desc...
We consider the dynamics of systems with arbitrary friction and diffusion. These include, as a speci...
In this article, we present several algorithms for stochastic dynamics, including Langevin dynamics ...