Combinatorics·OpenAI Math·Result 191·Lean formalisation listed

A power improvement in the Heilbronn triangle lower bound

One of the 372 results in OpenAI's public mathematics catalogue, filed under combinatorics: 1 preprint, the latest dated 25 September 2026. This page quotes OpenAI's own summary of the claim, links the paper and abstract, and will embed the animation.

Latest paper

A power improvement in the Heilbronn triangle lower bound

25 September 2026 · PDF

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What OpenAI claims

For every sufficiently large n, constructs n points in the unit square such that every triangle has area at least n-2+c for one absolute c > 0. This disproves the conjectured almost-n−2 upper bound in Heilbronn's triangle problem, which asks how large the smallest determined triangle can be. (Lean)

Paper

  1. A power improvement in the Heilbronn triangle lower bound

    · Preprint, not peer reviewed · PDF

    There are absolute constants η,c1 > 0 such that, for every sufficiently large integer n, one can choose n points in the unit square so that every triangle they determine has area at least c1n-2+η. Thus the almost n−2 upper-bound formulation of Heilbronn's triangle problem is false. The exponent η is fixed but extremely small.

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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