Abstract The Ornstein-Uhlenbeck process may be used to generate a noise signal with a finite correlation time. If a one-dimensional stochastic process is driven by such a noise source, it may be analysed by solving a Fokker-Planck equation in two dimensions. In the case of motion in the vicinity of an attractive fixed point, it is shown how the solution of this equation can be developed as a power series. The coefficients are determined exactly by using algebraic properties of a system of annihilation and creation operators
A stochastic process or sometimes called random process is the counterpart to a deterministic proces...
A class of infinite dimensional Ornstein-Uhlenbeck processes that arise as solutions of stochastic p...
Firstly, the Markovian stochastic Schroedinger equations are presented, together with their connecti...
The Ornstein-Uhlenbeck process may be used to generate a noise signal with a finite correlation time...
We propose a generalization of the Ornstein-Uhlenbeck process in 1+1 dimensions which is the product...
AbstractA detailed estimate on the growth of the position coordinate in a nonlinearly perturbed Orns...
We present an analytical study of a nonlinear oscillator subject to an additive Ornstein-Uhlenbeck n...
We consider stochastic differential equations for a variable q with multiplicative white and nonwh...
We consider a stochastic evolution equation on the spatial domain D=(0,1)^d, driven by an additive n...
We consider a stochastic evolution equation on the spatial domain D=(0,1)^d, driven by an additive n...
We consider stochastic differential equations for a variable q with multiplicative white and non...
We solve a physically significant extension of a classic problem in the theory of diffusion, namely ...
A class of infinite dimensional Ornstein-Uhlenbeck processes that arise as solutions of stochastic p...
A method is presented which permits to calculate the stationary probability density of non equilibri...
In this dissertation, we show with plausible arguments that the Stochastic Differential Equations (S...
A stochastic process or sometimes called random process is the counterpart to a deterministic proces...
A class of infinite dimensional Ornstein-Uhlenbeck processes that arise as solutions of stochastic p...
Firstly, the Markovian stochastic Schroedinger equations are presented, together with their connecti...
The Ornstein-Uhlenbeck process may be used to generate a noise signal with a finite correlation time...
We propose a generalization of the Ornstein-Uhlenbeck process in 1+1 dimensions which is the product...
AbstractA detailed estimate on the growth of the position coordinate in a nonlinearly perturbed Orns...
We present an analytical study of a nonlinear oscillator subject to an additive Ornstein-Uhlenbeck n...
We consider stochastic differential equations for a variable q with multiplicative white and nonwh...
We consider a stochastic evolution equation on the spatial domain D=(0,1)^d, driven by an additive n...
We consider a stochastic evolution equation on the spatial domain D=(0,1)^d, driven by an additive n...
We consider stochastic differential equations for a variable q with multiplicative white and non...
We solve a physically significant extension of a classic problem in the theory of diffusion, namely ...
A class of infinite dimensional Ornstein-Uhlenbeck processes that arise as solutions of stochastic p...
A method is presented which permits to calculate the stationary probability density of non equilibri...
In this dissertation, we show with plausible arguments that the Stochastic Differential Equations (S...
A stochastic process or sometimes called random process is the counterpart to a deterministic proces...
A class of infinite dimensional Ornstein-Uhlenbeck processes that arise as solutions of stochastic p...
Firstly, the Markovian stochastic Schroedinger equations are presented, together with their connecti...