Robustness of iterated function systems of Lipschitz maps
Résumé
Let $\{X_n\}_{n\in\mathbb{N}}$ be an $\mathbb{X}$-valued iterated function system (IFS) of Lipschitz maps defined as: $X_0 \in \mathbb{X}$
and for $n\geq 1$, $X_n:=F(X_{n-1},\vartheta_n)$, where $\{\vartheta_n\}_{n \ge 1}$ are independent and identically distributed random variables with common probability distribution $\nu$, $F(\cdot,\cdot)$ is Lipschitz continuous in the first variable and $X_0$ is independent of $\{\vartheta_n\}_{n \ge 1}$. Under parametric perturbation of both $F$ and $\nu$, we are interested in the robustness of the $V$-geometrical ergodicity property of $\{X_n\}_{n\in\mathbb{N}}$, of its invariant probability measure and finally of the probability distribution of $X_n$. Specifically, we propose a pattern of assumptions for studying such robustness properties for an IFS. This pattern is implemented for the autoregressive processes with autoregressive conditional heteroscedastic errors, and for IFS under roundoff error or under thresholding/truncation. Moreover, we provide a general set of assumptions covering the classical Feller-type hypotheses, for an IFS to be a $V$-geometrical ergodic process. An accurate bound for the rate of convergence is also provided.
Origine : Fichiers produits par l'(les) auteur(s)