Dynamical systems and ergodic theory·OpenAI Math·Result 146·Lean formalisation listed

Positive metric entropy for the standard map

One of the 372 results in OpenAI's public mathematics catalogue, filed under dynamical systems and ergodic theory: 1 preprint, the latest dated 23 September 2026. This page quotes OpenAI's own summary of the claim, links the paper and abstract, and will embed the animation.

Latest paper

Positive Metric Entropy for the Standard Map at Large Parameters

23 September 2026 · PDF

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What OpenAI claims

Proves that the standard sine map on the two-dimensional torus has positive metric entropy with respect to area for every sufficiently large positive parameter. This establishes Sinai's positive-parameter-measure conjecture for the original family, with the stronger conclusion of a full parameter tail. (Lean)

Paper

  1. Positive Metric Entropy for the Standard Map at Large Parameters

    · Preprint, not peer reviewed · PDF

    We prove that the standard sine map of the two-dimensional torus has positive metric entropy with respect to normalized area for every sufficiently large positive parameter. This gives a full parameter tail, and hence answers Sinai's positive-parameter-measure conjecture affirmatively.

Status

Preprint. The paper has not been independently reviewed. Treat the result as OpenAI's claim until other mathematicians have checked it. If a video exists, it illustrates the statement; it is not the proof.

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