From Rates of mixing to recurrence times via large deviations

Autor: Sandro Vaienti, José F. Alves, Jorge Milhazes Freitas, Stefano Luzzatto
Přispěvatelé: Centre de Physique Théorique - UMR 7332 (CPT), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2011
Předmět:
Zdroj: Advances in Mathematics
Advances in Mathematics, 2011, 228 (2), pp.1203-1230. ⟨10.1016/j.aim.2011.06.014⟩
Advances in Mathematics, Elsevier, 2011, 228, pp.1203-1230
ISSN: 0001-8708
1090-2082
DOI: 10.1016/j.aim.2011.06.014⟩
Popis: International audience; A classic approach in dynamical systems is to use particular geometric structures to deduce statistical properties, for example the existence of invariant measures with stochastic-like behaviour such as large deviations or decay of correlations. Such geometric structures are generally highly non-trivial and thus a natural question is the extent to which this approach can be applied. In this paper we show that in many cases stochastic-like behaviour itself implies that the system has certain non-trivial geometric properties, which are therefore necessary as well as sufficient conditions for the occurrence of the statistical properties under consideration. As a by product of our techniques we also obtain some new results on large deviations for certain classes of systems which include Viana maps and multidimensional piecewise expanding maps.
Databáze: OpenAIRE