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A directional zero–one law for finite-range-dependent random environments

OpenAI · October 5, 2026

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Abstract

We prove a directional zero–one law for uniformly elliptic nearest-neighbor random walks in stationary, ergodic, finite-range-dependent environments on ℤd, d ≥ 3. For every fixed nonzero real direction, the probability of escape in that direction, averaged over the environment, is either zero or one. Finite-range dependence is imposed on the full transition rows: collections of rows at distance greater than a fixed range are independent, including collections indexed by infinite deterministic sets.

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Cite

@misc{OAI:A-directional-zero-one-law-for-finite-range-dependent-random-environments-October-5-2026,
  author = {{OpenAI}},
  title = {{A directional zero--one law for finite-range-dependent random environments}},
  howpublished = {OpenAI Math Release preprint
                  \href{https://github.com/openai/math/blob/main/preprints/A-directional-zero-one-law-for-finite-range-dependent-random-environments-October-5-2026/directional-zero-one-finite-range.pdf}{OAI:A-directional-zero-one-law-for-finite-range-dependent-random-environments-October-5-2026}},
  year = {2026}
}

Lean formalization

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Family 220: Directional zero–one laws beyond iid environments and iid ballisticity

On ℤd, d ≥ 3, directional escape has probability zero or one for iid strictly elliptic nearest-neighbor environments, and for stationary ergodic finite-range-dependent environments under uniform ellipticity. In iid uniformly elliptic environments with d ≥ 2, almost-sure directional transience implies a deterministic limiting velocity with positive projection in that direction, resolving the ballisticity conjecture.

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