Theoretical computer science·OpenAI Math·Result 108·Lean formalisation listed

A cubic permanent–determinant lower bound

One of the 372 results in OpenAI's public mathematics catalogue, filed under theoretical computer science: 1 preprint, the latest dated 24 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 cubic lower bound for border determinantal complexity of the permanent

24 September 2026 · PDF

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What OpenAI claims

Proves an Ω(n3) lower bound for the border determinantal complexity of the n× n permanent over ℂ. Even coefficientwise limits of determinants of affine-linear matrices require matrix size at least cn3, for an absolute c > 0 and all sufficiently large n; the same bound therefore holds for exact representations. (Lean)

Paper

  1. A cubic lower bound for border determinantal complexity of the permanent

    · Preprint, not peer reviewed · PDF

    We prove that the complex border determinantal complexity of the m× m permanent is Ω(m3), allowing arbitrary affine-linear determinant representations and coefficientwise limits. It also gives cubic lower bounds for exact determinantal complexity and for the numbers of vertices and edges in affine-linear algebraic branching programs, including coefficientwise limits with a fixed vertex or edge budget.

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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