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Rokhlin's multiple-mixing problem for one transformation

OpenAI · September 23, 2026

Lean

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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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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.

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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.