Preprint in the OpenAI Math release
A directional zero–one law under strict ellipticity
OpenAI
Abstract
We prove the directional zero–one conjecture for nearest-neighbor random walks in independent and identically distributed strictly elliptic environments on ℤ, d ≥ 3: the probability of escape in each fixed nonzero real direction is zero or one. Only strict positivity of the transition probabilities is required; no uniform lower bound or moment assumption is imposed.
open until 1 Jan 2028
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