Polynomial ballisticity conditions in mixing environments
Abstract
We prove ballistic behaviour as well as an annealed functional central limit theorem for random walks in mixing random environments (RWRE). The ballistic hypothesis will be an effective polynomial condition as the one introduced by Berger, Drewitz, and Ram\'{\i}rez (\emph{Comm. Pure Appl. Math,} {\bf 67}, (2014) 1947--1973). The novel idea therein was the construction of several simultaneous renormalization steps, providing more flexibility for seed estimates. For our proof, we indeed follow a similar path, and introduce a new mixing effective criterion which will be implied by the polynomial condition. This allows us to prove, in a mixing framework, the RWRE conjecture concerning the equivalence between each condition , for and . This work complements the previous work of Guerra (\emph{Ann. Probab.} {\bf 47} (2019) 3003--3054) and completes the answer about the meaning of condition in a mixing setting, an open question posed by Comets and Zeitouni (\emph{Ann. Probab.} {\bf 32} (2004) 880--914).
Cite
@article{arxiv.1911.01401,
title = {Polynomial ballisticity conditions in mixing environments},
author = {Enrique Guerra and Glauco Valle and Maria Eulalia Vares},
journal= {arXiv preprint arXiv:1911.01401},
year = {2021}
}
Comments
new version v3, minor changes