Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/107412
Author(s): | Ana Cristina Moreira Freitas Jorge Milhazes Freitas Vaienti, S |
Title: | Extreme Value Laws for non stationary processes generated by sequential and random dynamical systems |
Issue Date: | 2017 |
Abstract: | We develop and generalise the theory of extreme value for non-stationary stochastic processes, mostly by weakening the uniform mixing condition that was previously used in this setting.We apply our results to non-autonomous dynamical systems, in particular to sequential dynamical systems, given by uniformly expanding maps, and to a few classes of random dynamical systems. Some examples are presented and worked out in detail. (c) Association des Publications de l'Institut Henri Poincaré, 2017. |
URI: | https://hdl.handle.net/10216/107412 |
Document Type: | Artigo em Revista Científica Internacional |
Rights: | openAccess |
Appears in Collections: | FCUP - Artigo em Revista Científica Internacional FEP - Artigo em Revista Científica Internacional |
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