Ball's extension problem for Lipschitz maps from Hilbert space into , via the Mendel-Naor metric Markov cotype question
Ball (1992) introduced Markov type and cotype to study Lipschitz extension and asked whether every Lipschitz map from an arbitrary subset of a Hilbert space into extends to all of with for a universal . Mendel and Naor (2013) formulated metric Markov cotype two in Cesaro form: has it with constant if for every reversible stochastic matrix with stationary , every and points there are with . They showed that a positive answer for yields the extension, and asked (Question 1.15): is , that is, does have metric Markov cotype two?
- Result
- Proved(see note)
- Status
- Candidate (review pending)
- AI contribution
- AI-discovered
- Method
- Argument
- Field
- Metric geometry; nonlinear Banach space theory, Lipschitz extension
- Posed by
- Keith Ball (1992, extension problem); Manor Mendel and Assaf Naor (2013, Question 1.15)
- Year posed
- 1992
- Years open
- 34y
- Solved
- 2026-10-05
- Model
- Unreleased internal OpenAI model
- Vendor
- OpenAI
- Collaborators
- —
- Verification
- Unreviewed
- Publication
- Announced
- Collection
- OpenAI math release (October 2026), version adc7f12
- Significance
- 35 / 100
- Disclosed cost
- —
- Wikipedia
- No dedicated article
What was actually shown
Theorem 1.1: real has metric Markov cotype two with , uniformly in the number of points, coordinates and time parameter; complex follows with . Corollary: there is a universal such that every Lipschitz , any subset of a real Hilbert space, extends to with . The construction is nonlinear (expected coordinatewise medians of geometric-walk endpoints after cut smoothing), consistent with the known failure of Ball's linear Markov cotype for and the Kalton-based subspace counterexample. No optimal constant is claimed, and targets other than are not treated.
What the AI did
The release README says all results were produced by an unreleased internal OpenAI model using one fixed procedure, about three hours of ChatGPT Pro thinking compute per result on average. This result is not among the README's exceptions (the Hodge conjecture for CM abelian varieties, and the Re(s) > 11/12 zero-free region whose write-up was human-edited). The manuscript is authored 'OpenAI' and names no human author. It is a single paper; the extension theorem is derived as a corollary by combining the main theorem with Mendel and Naor's published extension theorem.
Verification
No independent mathematician has checked this yet. Checked here: the abstract, introduction, Theorem 1.1 and the final section of the TeX source were read against Ball's problem and Mendel-Naor Question 1.15. The paper proves directly and obtains the extension corollary by invoking Mendel-Naor Corollary 1.13, so the extension relies on that published theorem. The family has no Lean formalization (lean/docs/332.md does not exist at the pinned commit). The target is real (and, by a corollary, complex) ; the paper says 'for this target' and does not discuss general targets.