Browse › Probability and statistical mechanics › 220 Directional zero–one laws beyond iid environments and iid ballisticity
A directional zero–one law under strict ellipticity
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Abstract
We prove the directional zero–one conjecture for nearest-neighbor random walks in independent and identically distributed strictly elliptic environments on ℤd, 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.
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Notes
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work in progress
Collected automatically by AI tools (Claude Opus 5.5 and GPT-6 Astra, 2026-10-21) and not checked by a person. May be wrong or incomplete. Report an error.
Formalization
- OpenAI math release, Lean scope notes for family 220 (lean/docs/220.md, 2026). Describes the release's Lean formalization of Theorem 1.1, the annealed directional zero–one law for iid strictly elliptic nearest-neighbor environments in d ≥ 3 and every nonzero real direction, without a uniform lower bound or moment condition, and links the comparator statement
DirectionalWalk.lean. [family-level] - OpenAI math release, Lean proof module
OAI/Probability/DirectionalWalk/Main.lean(openai/math, commit adc7f12, 2026). Contains the theoremOAI.DirectionalZeroOne.directional_zero_one, the Lean counterpart of Theorem 1.1; its proof relies on imported modules.
Possibly relevant literature (found by the agent, not checked)
- Mark Holmes and Thomas S. Salisbury, Random walks in degenerate random environments (arXiv:1105.5105; Canad. J. Math. 66 (2014), 1050–1077). Extends 0-1 laws for directional transience to iid non-elliptic environments, which bears on the paper's discussion of what ellipticity the sign-union and directional laws need.
- Alexander Drewitz and Alejandro F. Ramírez, Selected Topics in Random Walk in Random Environment (arXiv:1309.2589, 10 September 2013). Sections 3.1–3.2 review directional transience and renewal structure, providing background for this paper’s higher-dimensional directional zero–one law. [family-level]
Digests and expositions
- Gradient Damage, Every OpenAI Math Result, Part 2 of 4 (video compilation, 2026-10-14). Chapter 51 ("Random Walk in Random Environment", at 17:20) summarizes result family 220, including this zero–one law. [family-level]
Elsewhere
- VibeMathed: Problem record
- Emergent Mind: family 220
Independent sites; their content is not reviewed here.
Cite
@misc{OAI:A-directional-zero-one-law-under-strict-ellipticity-September-23-2026,
author = {{OpenAI}},
title = {{A directional zero--one law under strict ellipticity}},
howpublished = {OpenAI Math Release preprint
\href{https://github.com/openai/math/blob/main/preprints/A-directional-zero-one-law-under-strict-ellipticity-September-23-2026/paper.pdf}{OAI:A-directional-zero-one-law-under-strict-ellipticity-September-23-2026}},
year = {2026}
}Lean formalization
OpenAI provides Lean files for this family: lean/docs/220.md. The Lean statements have not been checked by people against the paper's claims.
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.
Other papers in this family:
- A directional zero–one law for finite-range-dependent random environments · October 5, 2026
- Directional transience implies ballisticity · September 23, 2026