Differential geometry·OpenAI Math·Result 361·Lean formalisation listed

Failure of integer-degree harmonic dimension comparison

One of the 372 results in OpenAI's public mathematics catalogue, filed under differential geometry: 2 preprints, the latest dated 26 September 2026. This page quotes OpenAI's own summary of the claim, links the papers and abstracts, and will embed the animation.

Latest paper

A counterexample to integer-degree harmonic dimension comparison

25 September 2026 · PDF

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What OpenAI claims

Disproves Yau's proposed Euclidean dimension bound for harmonic functions of integer growth on manifolds with nonnegative Ricci curvature. For every sufficiently large integer k, a complete smooth metric on ℝ3 has at least (k+2)2 independent harmonic functions of growth at most k, exceeding the Euclidean count (k+1)2. The metric may depend on k. (Lean)

Papers (2)

  1. A counterexample to integer-degree harmonic dimension comparison

    · Preprint, not peer reviewed · PDF

    For some even n ≥ 8 and integer k ≥ 2, we construct a complete smooth metric on ℝn with nonnegative Ricci curvature whose space of real harmonic functions of pointwise polynomial growth at most k has dimension larger than the Euclidean harmonic-polynomial dimension. The metric is Euclidean near the origin, has asymptotic volume ratio strictly between zero and one, and has nonunique tangent cones at infinity. This answers the integer-degree form of Yau's dimension comparison question in the negative.

  2. A Three-Dimensional Counterexample to Integer-Degree Harmonic Dimension Comparison

    · Preprint, not peer reviewed · PDF

    For every 4/9 < v < 1 and 1 < c < 9v/4, all sufficiently large integers k admit a complete smooth metric on ℝ3 with nonnegative Ricci curvature, asymptotic volume ratio v, and at least c(k+1)2 linearly independent real harmonic functions of pointwise growth at most k. This answers Yau's integer-degree dimension comparison question negatively in dimension three, with a fixed-factor excess over the Euclidean count. For each 1 < c < 9/4, these metrics can be chosen arbitrarily close to the Euclidean metric in global bi-Lipschitz distance. The metric may depend on k.

Status

Preprint. The papers have 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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