Differential geometry·OpenAI Math·Result 356·Lean formalisation listed
Gigli’s characterization of Alexandrov curvature
One of the 372 results in OpenAI's public mathematics catalogue, filed under differential geometry: 2 preprints, the latest dated 24 September 2026. This page quotes OpenAI's own summary of the claim, links the papers and abstracts, and will embed the animation.
Latest paper
Gigli’s distributional curvature characterization of Alexandrov spaces
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What OpenAI claims
Proves Gigli's conjecture: in every integer dimension n ≥ 2, Alexandrov curvature at least κ is characterized by the full-support RCD ((n-1)κ,n) condition with reference measure ℋn and distributional sectional curvature at least κ in the original global test classes. The RCD condition is unreduced. (Lean)
Papers (2)
Gigli’s distributional curvature characterization of Alexandrov spaces
For every integer n ≥ 2 and κ ∈ ℝ, we prove that a complete separable metric space is an n-dimensional Alexandrov space of curvature at least κ if and only if, with reference measure ℋn, it is a full-support RCD((n-1)κ,n) space whose distributional sectional curvature is at least κ in Gigli's original global test classes. This resolves Gigli's characterization conjecture in dimensions at least two.
Weak Hessian bounds along every geodesic in RCD spaces
On a full-support RCD(K,N) space with 1 < N < ∞, we prove that a bounded globally Lipschitz function whose distributional Hessian is bounded above by a bounded continuous function satisfies the corresponding second-derivative inequality along every minimizing geodesic.
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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