In this paper we consider a system whose state x changes to sigma(x) if a perturbation occurs at the time t, for t > 0, t is not an element of N. Moreover, the state x changes to the new state eta(x) at time t, for t is an element of N. It is assumed that the number of perturbations in an interval (0, t) is a Poisson process. Here eta and sigma are measurable maps from a measure space (E, A, mu) into itself. We give conditions for the existence of a stationary distribution of the system when the maps eta and sigma commute, and we prove that any stationary distribution is an invariant measure of these maps
This article analyzes in detail the statistical and measure-theoretical properties of the nonuniform...
AbstractLet M be a Poisson random measure on [0, ∞) and let {X(t): tε[0,∞)} be an alternating renewa...
The evolution of phase space densities under the action of nonlinear dynamical systems is studied. T...
Let z(t) [set membership, variant] Rn be a generalized Poisson process with parameter [lambda] and l...
Let Gamma be a compact Lie group and let Gamma(0) denote the connected component of the identity of ...
Let M be a Poisson random measure on [0, [infinity]) and let {X(t): t[epsilon][0,[infinity])} be an ...
AbstractThe focus in this article is on point processes on a product space R×L that satisfy stochast...
Abstract. The purpose of this paper is to study statistical properties of some al-most expanding dyn...
We analyze the quasi-stationary distributions of the family of Markov chains {Xε n}, ε> 0, obtain...
The existence of fixed points for monotone maps on spaces of measures is established. The case of m...
In this thesis we consider discrete-time dynamical systems in the interval perturbed with bounded no...
We prove that multimodal maps with an absolutely continuous invariant measure have exponential retur...
Iteration of randomly chosen quadtratic maps defines a Markov process: Xn+1 = εn+1Xn(1−Xn), where εn...
Beginning with independent Markov processes, multiparameter Markov vector processes are constructed....
We studied invariant measures and invariant densities for dynamical systems with random switching (s...
This article analyzes in detail the statistical and measure-theoretical properties of the nonuniform...
AbstractLet M be a Poisson random measure on [0, ∞) and let {X(t): tε[0,∞)} be an alternating renewa...
The evolution of phase space densities under the action of nonlinear dynamical systems is studied. T...
Let z(t) [set membership, variant] Rn be a generalized Poisson process with parameter [lambda] and l...
Let Gamma be a compact Lie group and let Gamma(0) denote the connected component of the identity of ...
Let M be a Poisson random measure on [0, [infinity]) and let {X(t): t[epsilon][0,[infinity])} be an ...
AbstractThe focus in this article is on point processes on a product space R×L that satisfy stochast...
Abstract. The purpose of this paper is to study statistical properties of some al-most expanding dyn...
We analyze the quasi-stationary distributions of the family of Markov chains {Xε n}, ε> 0, obtain...
The existence of fixed points for monotone maps on spaces of measures is established. The case of m...
In this thesis we consider discrete-time dynamical systems in the interval perturbed with bounded no...
We prove that multimodal maps with an absolutely continuous invariant measure have exponential retur...
Iteration of randomly chosen quadtratic maps defines a Markov process: Xn+1 = εn+1Xn(1−Xn), where εn...
Beginning with independent Markov processes, multiparameter Markov vector processes are constructed....
We studied invariant measures and invariant densities for dynamical systems with random switching (s...
This article analyzes in detail the statistical and measure-theoretical properties of the nonuniform...
AbstractLet M be a Poisson random measure on [0, ∞) and let {X(t): tε[0,∞)} be an alternating renewa...
The evolution of phase space densities under the action of nonlinear dynamical systems is studied. T...