Polynomial ballisticity conditions in mixing environments
Enrique Guerra, Glauco Valle, Maria Eulalia Vares

TL;DR
This paper establishes polynomial ballisticity conditions for random walks in mixing environments, proving ballistic behavior and a central limit theorem, and clarifies the equivalence of certain conditions in this setting.
Contribution
It introduces a new mixing effective criterion implied by polynomial conditions, proving key conjectures about the equivalence of ballisticity conditions in mixing environments.
Findings
Proves ballistic behavior under polynomial conditions in mixing environments.
Establishes an annealed functional central limit theorem for RWRE.
Clarifies the equivalence of conditions $(T^eta)| ext{ extlangle} angle$ 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)…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Mathematical Dynamics and Fractals
