Properties of systems driven by white non-Gaussian noises can be very different from these of systems driven by the white Gaussian noise. We investigate stationary probability densities for systems driven by alpha-stable Levy-type noises, which provide natural extension to the Gaussian noise having, however, a new property, namely a possibility of being asymmetric. Stationary probability densities are examined for a particle moving in parabolic, quartic, and in generic double well potential models subjected to the action of alpha-stable noises. Relevant solutions are constructed by methods of stochastic dynamics. In situations where analytical results are known they are compared with numerical results. Furthermore, the problem of ...
We study the Langevin equation of a point particle driven by random noise, modeled as a two-state Ma...
We develop a general approach for studying the cumulative probability distribution function of local...
Scale free Lévy motion is a generalized analogue of the Wiener process. Its time derivative e...
We study the properties of the probability density function (PDF) of a bistable system driven by hea...
AbstractThe generalized Langevin stochastic dynamical system is introduced and the stationary probab...
We study the stationary probability density of a Brownian particle in a potential with a single-well...
The generalized Langevin stochastic dynamical system is introduced and the stationary probability de...
In this paper we examine two specific models of dynamical systems in which noise plays a central rol...
Fluctuation theorems (FTs) based on time-reversal have provided remarkable insight into the non-equi...
A standard approach to analysis of noise-induced effects in stochastic dynamics assumes a Gaussian ...
The stationary state probability densities appear not only in the study of dynamical systems with ra...
Stochastic processes defined by a general Langevin equation of motion where the noise is the non-Gau...
This article concerns the stochastic logistic models under regime switching with Levy noise. In the...
The paper deals with finding stationary distributions in normal stochastic (Ito) systems. The stocha...
Transport properties in complex systems are usually characterized by the dependence on time of the v...
We study the Langevin equation of a point particle driven by random noise, modeled as a two-state Ma...
We develop a general approach for studying the cumulative probability distribution function of local...
Scale free Lévy motion is a generalized analogue of the Wiener process. Its time derivative e...
We study the properties of the probability density function (PDF) of a bistable system driven by hea...
AbstractThe generalized Langevin stochastic dynamical system is introduced and the stationary probab...
We study the stationary probability density of a Brownian particle in a potential with a single-well...
The generalized Langevin stochastic dynamical system is introduced and the stationary probability de...
In this paper we examine two specific models of dynamical systems in which noise plays a central rol...
Fluctuation theorems (FTs) based on time-reversal have provided remarkable insight into the non-equi...
A standard approach to analysis of noise-induced effects in stochastic dynamics assumes a Gaussian ...
The stationary state probability densities appear not only in the study of dynamical systems with ra...
Stochastic processes defined by a general Langevin equation of motion where the noise is the non-Gau...
This article concerns the stochastic logistic models under regime switching with Levy noise. In the...
The paper deals with finding stationary distributions in normal stochastic (Ito) systems. The stocha...
Transport properties in complex systems are usually characterized by the dependence on time of the v...
We study the Langevin equation of a point particle driven by random noise, modeled as a two-state Ma...
We develop a general approach for studying the cumulative probability distribution function of local...
Scale free Lévy motion is a generalized analogue of the Wiener process. Its time derivative e...