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Rokhlin's multiple-mixing problem for one transformation
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Abstract
Every invertible mixing probability-preserving transformation is mixing of every finite order. Thus Rokhlin's multiple-mixing problem for a single transformation has an affirmative answer.
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Notes
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Automatically collected notes (unreviewed)
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.
Comments and discussion
- Bryna Kra, quoted in ‘Breathtaking,’ ‘Devastating’: Mathematics Reels After New OpenAI Release (AI Europe reproduction of New York Times reporting, 2026-10-09). Kra singles out result 145 as of particular interest and says the manuscript's writing prevents her from understanding it.
Formalization
- OpenAI, Rokhlin’s multiple-mixing problem: Lean scope notes (OpenAI math release, lean/docs/145.md, 2026-10-06). The scope note states that the formalization proves mixing of every order k ≥ 3 for one invertible mixing probability-preserving transformation, with convergence as every successive time gap diverges, and links the Rokhlin comparator statement. [AI-generated per source]
- OpenAI math release, Comparator statement Rokhlin.lean (openai/math commit adc7f12, 2026). The challenge file defines
IsMixing,MixingOfOrder,layoutTimeandtimeMap, and statesOAI.Rokhlin.mixing_all_finite_orderswith the proof left assorry, which is how a comparator challenge is written. - OpenAI math release, OAI/Dynamics/MultipleMixing/Main.lean (openai/math commit adc7f12, 2026). This file contains the release's proof of
mixing_all_finite_orders, the Lean counterpart of Theorem 1.1. - Carlos Toledo, OpenAI's math release: what it claims beyond what it checks (cert-machine audit of release commit fd4aeeb2ee4f, accessed 2026-10-21). The audit reports that the Rokhlin challenge passed Lean and nanoda checks, that all four displayed definition bodies matched, and that the solution theorem transferred to the displayed statement; it discloses that agents produced its checkers and readings. [AI-generated per source]
- punk01-shaka, OpenAI's Comparator configs leave 62 fully-written definitions unchecked (definition holes) (GitHub issue, 12 Oct 2026). Its table lists the Rokhlin comparator config with 4 of 4 definitions declared as holes, whose bodies Comparator does not check. The issue states: "This does not show that any of these results is wrong." [family-level]
Possibly relevant literature (found by the agent, not checked)
- V. V. Ryzhikov, Around Kalikow's theorem on multiple mixing (arXiv:2607.11852, July 2026). A survey of joinings and multiple mixing that includes a proof of Kalikow's twofold-implies-threefold theorem for rank-one maps, which the paper's introduction cites as Kalikow 1984.
- V. V. Ryzhikov, Unsolved problems on joinings, multiple mixing, spectrum, and rank (arXiv:2405.03641, May 2024). Discusses a hypothetical automorphism in MSJ(2)\MSJ(3) without multiple mixing; Theorem 1.1 would rule out any such mixing automorphism.
- V. V. Ryzhikov, Multiple mixing in ergodic theory (arXiv:2404.06476, April 2024, in Russian). A Russian-language account of the history and status of Rokhlin's k-fold mixing problem, which the paper's introduction recounts.
Digests and expositions
- Latent Seminar, Rokhlin's multiple-mixing problem and ordered joining arrays (2026-10-06). This exposition follows the finite-alphabet reduction, ordered joining arrays, conditional operators and cancellation argument, while explicitly distinguishing its selected proof explanations from independent verification of the complete proof.
Elsewhere
- VibeMathed: Problem record
- Emergent Mind: family 145
Independent sites; their content is not reviewed here.
Cite
@misc{OAI:Rokhlins-multiple-mixing-problem-for-one-transformation-September-23-2026,
author = {{OpenAI}},
title = {{Rokhlin's multiple-mixing problem for one transformation}},
howpublished = {OpenAI Math Release preprint
\href{https://github.com/openai/math/blob/main/preprints/Rokhlins-multiple-mixing-problem-for-one-transformation-September-23-2026/paper.pdf}{OAI:Rokhlins-multiple-mixing-problem-for-one-transformation-September-23-2026}},
year = {2026}
}Lean formalization
OpenAI provides Lean files for this family: lean/docs/145.md. The Lean statements have not been checked by people against the paper's claims.
Family 145: Rokhlin’s multiple-mixing problem
Proves that every invertible mixing probability-preserving transformation is mixing of all finite orders, resolving Rokhlin's multiple-mixing problem for a single transformation. Correlations among any finite collection of measurable sets converge to the product of their measures whenever all pairwise time separations diverge.
This is the only paper in this family.