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 embeds the animation.
In one line: OpenAI reports a result titled ‘Gigli’s characterization of Alexandrov curvature’ (differential geometry) in 2 preprints, the latest dated 24 September 2026. It has not been peer reviewed. The channel's animation, Every OpenAI Math Result, Part 3 of 4: Operator Paving, Naimark's Problem and 82 More, is on YouTube.
Chapter 46 of 84 in Every OpenAI Math Result, Part 3 of 4: Operator Paving, Naimark's Problem and 82 More · starts at 15:42 · watch from there on YouTube →
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
OpenAI's abstract 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
OpenAI's abstract 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.
Quick answers
- Is it proven?
- Not independently yet. OpenAI posted 2 preprints, the latest dated 24 September 2026; it has not been peer reviewed, so treat the result as OpenAI's claim until other mathematicians have checked it.
- What exactly does OpenAI claim?
- 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)
- Where is the proof?
- In the paper, Gigli’s distributional curvature characterization of Alexandrov spaces (PDF).
- Is there a video?
- Yes, on YouTube (29:20, chapter 46).
Also in
- Chapter 6 of 9 in Calabi Flow, Affine Bernstein Problem and 7 More in Differential Geometry · starts at 1:44 · watch from there on YouTube →
The video
Every OpenAI Math Result, Part 3 of 4: Operator Paving, Naimark's Problem and 82 More · Compilation · 29:20 · chapter 46 from 15:42 · description, sources and chapters →
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