Nous étudions une chaîne de Markov en temps continu dans un environnement dynamique de conductances aléatoires dans . Nous supposons que les conductances sont stationnaires ergodiques, uniformément positives et polynomialement mélangeantes en espace et en temps. Nous montrons un principe d’invariance << quenched >> pour , et nous obtenons des bornes sur les fonctions de Green et un théorème limite local. Nous discutons aussi les liens avec les modèles d’interfaces aléatoires.
We study a continuous time random walk in an environment of dynamic random conductances in . We assume that the conductances are stationary ergodic, uniformly bounded and bounded away from zero and polynomially mixing in space and time. We prove a quenched invariance principle for , and obtain Green’s functions bounds and a local limit theorem. We also discuss a connection to stochastic interface models.
@article{AIHPB_2014__50_2_352_0, author = {Andres, Sebastian}, title = {Invariance principle for the random conductance model with dynamic bounded conductances}, journal = {Annales de l'I.H.P. Probabilit\'es et statistiques}, volume = {50}, year = {2014}, pages = {352-374}, doi = {10.1214/12-AIHP527}, mrnumber = {3189075}, zbl = {1290.60109}, language = {en}, url = {http://dml.mathdoc.fr/item/AIHPB_2014__50_2_352_0} }
Andres, Sebastian. Invariance principle for the random conductance model with dynamic bounded conductances. Annales de l'I.H.P. Probabilités et statistiques, Tome 50 (2014) pp. 352-374. doi : 10.1214/12-AIHP527. http://gdmltest.u-ga.fr/item/AIHPB_2014__50_2_352_0/
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