Random walks in a random environment on a strip: a renormalization group approach
Disordered Systems and Neural Networks
2015-05-13 v3 Statistical Mechanics
Abstract
We present a real space renormalization group scheme for the problem of random walks in a random environment on a strip, which includes one-dimensional random walk in random environment with bounded non-nearest-neighbor jumps. We show that the model renormalizes to an effective one-dimensional random walk problem with nearest-neighbor jumps and conclude that Sinai scaling is valid in the recurrent case, while in the sub-linear transient phase, the displacement grows as a power of the time.
Cite
@article{arxiv.0711.1130,
title = {Random walks in a random environment on a strip: a renormalization group approach},
author = {Róbert Juhász},
journal= {arXiv preprint arXiv:0711.1130},
year = {2015}
}
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9 pages