International audienceWe study the asymptotic properties of the trajectories of a discrete-time random dynamical system in an infinite-dimensional Hilbert space. Under some natural assumptions on the model, we establish a multiplicative ergodic theorem with an exponential rate of convergence. The assumptions are satisfied for a large class of parabolic PDEs, including the 2D Navier–Stokes and complex Ginzburg–Landau equations perturbed by a non-degenerate bounded random kick force. As a consequence of this ergodic theorem, we derive some new results on the statistical properties of the trajectories of the underlying random dynamical system. In particular, we obtain large deviations principle for the occupation measures and the analyticity o...
AbstractDifferential equations subject to random impulses are studied. Randomness is introduced both...
We prove an ergodic theorem showing the almost sure epi/hypo-convergence of a sequence of random lag...
We prove large deviation principles for ergodic averages of dynamical systems admitting Markov tower...
We study the asymptotic properties of the trajectories of a discrete-time random dynamical system in...
We develop a theory of ergodicity for a class of random dynamical systems where the driving noise is...
The long time behavior of the random map xn → xn+1 = |xn-θn| is studied under various assumptions on...
We develop a theory of ergodicity for a class of random dynamical systems where the driving noise is...
We prove that, once an algorithm of perfect simulation for a stationary and ergodic random field F t...
We extend the recent spectral approach for quenched limit theorems developed for piecewise expanding...
Differential equations subject to random impulses are studied. Randomness is introduced both through...
We prove large deviation principles for ergodic averages of dynamical systems admitting Markov tower...
In this article, we establish a central limit theorem (CLT) for random dynamical systems (RDS), whic...
International audienceThe ergodic properties of the randomly forced Navier–Stokes system have been e...
The paper examines multiplicative ergodic theorems and the related multiplicative Poisson equation f...
36 pagesWe study a class of dissipative PDE’s perturbed by a bounded random kick force. It is assume...
AbstractDifferential equations subject to random impulses are studied. Randomness is introduced both...
We prove an ergodic theorem showing the almost sure epi/hypo-convergence of a sequence of random lag...
We prove large deviation principles for ergodic averages of dynamical systems admitting Markov tower...
We study the asymptotic properties of the trajectories of a discrete-time random dynamical system in...
We develop a theory of ergodicity for a class of random dynamical systems where the driving noise is...
The long time behavior of the random map xn → xn+1 = |xn-θn| is studied under various assumptions on...
We develop a theory of ergodicity for a class of random dynamical systems where the driving noise is...
We prove that, once an algorithm of perfect simulation for a stationary and ergodic random field F t...
We extend the recent spectral approach for quenched limit theorems developed for piecewise expanding...
Differential equations subject to random impulses are studied. Randomness is introduced both through...
We prove large deviation principles for ergodic averages of dynamical systems admitting Markov tower...
In this article, we establish a central limit theorem (CLT) for random dynamical systems (RDS), whic...
International audienceThe ergodic properties of the randomly forced Navier–Stokes system have been e...
The paper examines multiplicative ergodic theorems and the related multiplicative Poisson equation f...
36 pagesWe study a class of dissipative PDE’s perturbed by a bounded random kick force. It is assume...
AbstractDifferential equations subject to random impulses are studied. Randomness is introduced both...
We prove an ergodic theorem showing the almost sure epi/hypo-convergence of a sequence of random lag...
We prove large deviation principles for ergodic averages of dynamical systems admitting Markov tower...