Stochastic processes defined by a general Langevin equation of motion where the noise is the non-Gaussian dichotomous Markov noise are studied. A non-FokkerPlanck master differential equation is deduced for the probability density of these processes. Two different models are exactly solved. In the second one, a nonequilibrium bimodal distribution induced by the noise is observed for a critical value of its correlation time. Critical slowing down does not appear in this point but in another one
This paper studies Langevin equation with random damping due to multiplicative noise and its solutio...
We rst consider the one-dimensional stochastic ow _x = f(x) + g(x) (t), where (t) is a dichotomous ...
Transport properties in complex systems are usually characterized by the dependence on time of the v...
We study nonstationary non-Markovian processes defined by Langevin-type stochastic differential equa...
We study the Langevin equation of a point particle driven by random noise, modeled as a two-state Ma...
Nonequilibrium systems driven by additive or multiplicative dichotomous Markov noise appear in a wid...
We consider stochastic differential equations for a variable q with multiplicative white and non...
We show that the increments of generalized Wiener process, useful to describe non-Gaussian white noi...
Transport properties in complex systems are usually characterized by the dependence on time of the v...
We study the stationary probability density of a Brownian particle in a potential with a single-well...
The increasingly widespread occurrence in complex fluids of particle motion that is both Brownian an...
We consider a general class of non-Markovian processes defined by stochastic differential equations ...
We consider a general class of non-Markovian processes defined by stochastic differential equations ...
The topic of the present work are non-Brownian particles in shear flow. As reported in literature, ...
We consider the motion of a Brownian particle moving in a potential field and driven by dichotomous ...
This paper studies Langevin equation with random damping due to multiplicative noise and its solutio...
We rst consider the one-dimensional stochastic ow _x = f(x) + g(x) (t), where (t) is a dichotomous ...
Transport properties in complex systems are usually characterized by the dependence on time of the v...
We study nonstationary non-Markovian processes defined by Langevin-type stochastic differential equa...
We study the Langevin equation of a point particle driven by random noise, modeled as a two-state Ma...
Nonequilibrium systems driven by additive or multiplicative dichotomous Markov noise appear in a wid...
We consider stochastic differential equations for a variable q with multiplicative white and non...
We show that the increments of generalized Wiener process, useful to describe non-Gaussian white noi...
Transport properties in complex systems are usually characterized by the dependence on time of the v...
We study the stationary probability density of a Brownian particle in a potential with a single-well...
The increasingly widespread occurrence in complex fluids of particle motion that is both Brownian an...
We consider a general class of non-Markovian processes defined by stochastic differential equations ...
We consider a general class of non-Markovian processes defined by stochastic differential equations ...
The topic of the present work are non-Brownian particles in shear flow. As reported in literature, ...
We consider the motion of a Brownian particle moving in a potential field and driven by dichotomous ...
This paper studies Langevin equation with random damping due to multiplicative noise and its solutio...
We rst consider the one-dimensional stochastic ow _x = f(x) + g(x) (t), where (t) is a dichotomous ...
Transport properties in complex systems are usually characterized by the dependence on time of the v...