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 It has not been peer reviewed.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.

Compilation · 29:20 · 14 October 2026 · from 19:32Watch on YouTube →

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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

  1. Sharp One-Third Stability of Brenier Maps

    · Preprint, not peer reviewed · PDF

    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 OpenAI posted a preprint on 25 September 2026; it has not been peer reviewed, so treat the result as OpenAI's claim until other mathematicians have checked it.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

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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