Partial differential equations·OpenAI Math·Result 374·Lean formalisation listed
Sharp one-third stability of Brenier maps
One of the 372 results in OpenAI's public mathematics catalogue, filed under partial differential equations: 1 preprint, the latest dated 25 September 2026. This page quotes OpenAI's own summary of the claim, links the paper and abstract, and embeds the animation.
Also known as one-third stability of Brenier maps; Brenier map stability
In one line: OpenAI reports a result titled ‘Sharp one-third stability of Brenier maps’ (partial differential equations) in a preprint dated 25 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 It has not been peer reviewed.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 57 of 84 in Every OpenAI Math Result, Part 3 of 4: Operator Paving, Naimark's Problem and 82 More · starts at 19:32 · watch from there on YouTube →
What OpenAI claims
For uniform source measure ρ on a compact convex body with interior in dimension at least two, quadratic optimal transport maps satisfy ‖Tμ-Tν‖L2(ρ) ≤ C W2(μ,ν)1/3 uniformly over targets in a fixed compact set. The exponent is sharp, even for three-atom targets, disproving Letrouit's conjectured square-root bound. (Lean)
Paper
Sharp One-Third Stability of Brenier Maps
OpenAI's abstract For the uniform probability measure ρ on a compact convex body in ℝd, d ≥ 2, quadratic optimal transport maps are one-third Hölder continuous in L2(ρ) with respect to the target's 2-Wasserstein distance. The constant is uniform over all targets supported in a fixed compact set, and the exponent is optimal. A three-atom family on a fixed cube disproves Letrouit's conjectured uniform square-root estimate.
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.
Quick answers
- Is it proven?
- Not independently yet. OpenAI posted a preprint on 25 September 2026; it has not been peer reviewed, so treat the result as OpenAI's claim until other mathematicians have checked it.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?
- For uniform source measure ρ on a compact convex body with interior in dimension at least two, quadratic optimal transport maps satisfy ‖Tμ-Tν‖L2(ρ) ≤ C W2(μ,ν)1/3 uniformly over targets in a fixed compact set. The exponent is sharp, even for three-atom targets, disproving Letrouit's conjectured square-root bound. (Lean)
- Where is the proof?
- In the paper, Sharp One-Third Stability of Brenier Maps (PDF).
- Is there a video?
- Yes, on YouTube (29:20, chapter 57).
Also in
- Chapter 8 of 9 in Boltzmann Equation, Hot Spots Conjecture and 7 More in Partial Differential Equations · starts at 2:27 · 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 57 from 19:32 · description, sources and chapters →
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