Limit of the environment viewed from Sina\"i's walk
Probability
2022-09-02 v1
Abstract
For Sina\"i's walk (X_k) we show that the empirical measure of the environment seen from the particle (\bar\w_k) converges in law to some random measure S. This limit measure is explicitly given in terms of the infinite valley, which construction goes back to Golosov. As a consequence an "in law" ergodic theorem holds for additive functionals of (\bar\w_k) . When the limit in this "in law" ergodic theorem is deterministic, it holds in probability. This allows some extensions to the recurrent case of the ballistic "environment's method" dating back to Kozlov and Molchanov. In particular, we show an LLN and a mixed CLT for the sums sum_{k=1}^nf(\Delta X_k), where f is bounded and depending on the steps \Delta X_k:=X_{k+1}-X_k.
Keywords
Cite
@article{arxiv.2209.00101,
title = {Limit of the environment viewed from Sina\"i's walk},
author = {Francis Comets and Oleg Loukianov and Dasha Loukianova},
journal= {arXiv preprint arXiv:2209.00101},
year = {2022}
}