Random Walkers in 1-D Random Environments: Exact Renormalization Group Analysis
Daniel S. Fisher, Pierre Le Doussal, Cecile Monthus

TL;DR
This paper provides an exact analytical study of Sinai's 1D diffusion model with random bias using renormalization group techniques, revealing detailed scaling laws, aging phenomena, and rare event statistics.
Contribution
It introduces an exact renormalization group analysis of Sinai's model, including effects of small bias, and derives comprehensive scaling laws and aging behaviors.
Findings
Exact scaling form of particle position distribution
Distribution of first passage times and meeting times
Aging regimes with novel logarithmic scaling
Abstract
Sinai's model of diffusion in one-dimension with random local bias is studied by a real space renormalization group which yields exact results at long times. The effects of an additional small uniform bias force are also studied. We obtain analytically the scaling form of the distribution of the position of a particle, the probability of it not returning to the origin and the distributions of first passage times, in an infinite sample as well as in the presence of a boundary and in a finite size sample. We compute the distribution of meeting time of two particles. We also obtain a detailed analytic description of thermally averaged trajectories: we compute the distributions of the number of returns and of the number of jumps forward. They obey multifractal scaling, characterized by generalized persistence exponents which we compute. With a small bias, the number of…
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