Soit un noyau markovien sur un espace mesurable muni d’une tribu à base dénombrable, soit tel que , avec , et soit l’espace des fonctions mesurables de dans telles que . Nous démontrons que est quasi-compact sur si et seulement si, pour tout , contient une sous-suite convergeant dans vers , où est une fonction mesurable positive bornée sur et une probabilité sur . En particulier, quand le sous-espace de constitué des fonctions -invariantes est de dimension finie, la convergence uniforme des moyennes est équivalente à la convergence ponctuelle.
Let be a Markov kernel on a measurable space with countably generated -algebra, let such that with , and let be the space of measurable functions on satisfying . We prove that is quasi-compact on if and only if, for all , contains a subsequence converging in to , where the ’s are non-negative bounded measurable functions on and the ’s are probability distributions on . In particular, when the space of -invariant functions in is finite-dimensional, uniform ergodicity is equivalent to mean ergodicity.
@article{AIHPB_2008__44_6_1090_0,
author = {Herv\'e, Lo\"\i c},
title = {Quasi-compactness and mean ergodicity for Markov kernels acting on weighted supremum normed spaces},
journal = {Annales de l'I.H.P. Probabilit\'es et statistiques},
volume = {44},
year = {2008},
pages = {1090-1095},
doi = {10.1214/07-AIHP145},
mrnumber = {2469336},
zbl = {1186.37014},
language = {en},
url = {http://dml.mathdoc.fr/item/AIHPB_2008__44_6_1090_0}
}
Hervé, Loïc. Quasi-compactness and mean ergodicity for Markov kernels acting on weighted supremum normed spaces. Annales de l'I.H.P. Probabilités et statistiques, Tome 44 (2008) pp. 1090-1095. doi : 10.1214/07-AIHP145. http://gdmltest.u-ga.fr/item/AIHPB_2008__44_6_1090_0/
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