| Université Paris 6 Pierre et Marie Curie | Université Paris 7 Denis Diderot | |
| CNRS U.M.R. 7599 | ||
| ``Probabilités et Modèles Aléatoires'' | ||
Auteur(s):
Code(s) de Classification MSC:
Résumé: We prove that if $X=(X_n)_{n\in Z}$ is a finite valued ergodic Markov Chain, then for any natural number $p$, there exist ergodic non-Markovian processes $Y=(Y_n)_{n\in Z}$ with positive entropy, such that for all integers $n_1,...,n_p$, the joint distribution of $Y_{n_1},...,Y_{n_p}$ is identical to the joint distribution of $X_{n_1},...,X_{n_p}$.
Mots Clés: Ergodic Markov Chain ; finite dimensional marginals ; dynamical system ; entropy
Date: 2000-09-18
Prépublication numéro: PMA-612