Universal optimality of the triangular lattice in the plane (Cohn-Kumar)
For a locally finite configuration of density one and a potential , the energy per point is the lower limit of . Among lattices of covolume one the triangular lattice minimizes inverse-power sums (Rankin, Cassels, Ennola, Diananda) and Gaussian theta sums (Montgomery 1988), but these say nothing about non-lattice competitors. Cohn and Kumar (2007, Conjecture 9.4) conjectured that the triangular lattice, like and the Leech lattice, is universally optimal, with sharp Fourier auxiliary functions certifying it; Cohn, Kumar, Miller, Radchenko and Viazovska proved the analogue in dimensions 8 and 24. Does the triangular lattice of covolume one minimize energy per point among all density-one planar configurations, for every completely monotone function of squared distance?
- Result
- Proved(see note)
- Status
- Candidate (review pending)
- AI contribution
- AI-discovered
- Method
- Argument
- Field
- Discrete geometry; energy minimization and universal optimality
- Posed by
- Henry Cohn and Abhinav Kumar (Conjecture 9.4, J. Amer. Math. Soc. 2007)
- Year posed
- 2007
- Years open
- 19y
- Solved
- 2026-09-23
- Model
- Unreleased internal OpenAI model
- Vendor
- OpenAI
- Collaborators
- —
- Verification
- Lean-checked, statement unaudited
- Publication
- Announced
- Collection
- OpenAI math release (October 2026), version adc7f12
- Significance
- 55 / 100
- Disclosed cost
- —
- Wikipedia
- No dedicated article
What was actually shown
Theorem 1.1: the density-one triangular lattice minimizes the lower energy per point among all locally finite planar configurations of centered-disk density one, for every nonnegative smooth completely monotone of squared distance, including Gaussians and all inverse powers, with infinite energies allowed and no separation assumption. The proof builds sharp radial Schwartz minorants with touching at all nonzero lattice and dual-lattice points, and integrates over Gaussians. Section 8 transfers this, following Petrache-Serfaty, to triangular minimality of the logarithmic and Riesz renormalized (jellium) energies. It does not give a sharp auxiliary function for every mixed potential, does not classify minimizers, and does not treat other dimensions.
What the AI did
The release README says every result in openai/math was produced by an unreleased internal OpenAI model with a fixed procedure, on average about three hours of ChatGPT Pro thinking compute per result. This result is not one of the README's two exceptions (the Hodge conjecture for CM abelian varieties and the Re(s) > 11/12 zero-free region). The manuscript is authored 'OpenAI' and names no human author. The family has a second manuscript, 'An atomic certificate for triangular-lattice universal optimality' (September 26, 2026), giving a separate construction of the sharp Gaussian minorants; the Lean formalization in the release is attached to that companion. Both manuscripts ship finite checkers (Python, python-flint) for their numerical inputs.
Verification
No independent mathematician has checked this yet. Checked here: Theorem 1.1 of the principal manuscript was read against the Cohn-Kumar question. It proves for every smooth completely monotone and every locally finite configuration of centered-disk density one, infinite energies included. The manuscript states plainly that it does not construct a sharp auxiliary function for each mixed potential, the stronger per-potential quantifier in Cohn-Kumar's Conjecture 9.4; it identifies the minimum value, not all minimizers. Lean: lean/ComparatorChallenges/TriangularEnergy.json exists with solution_module OAI.Analysis.Triangular.Energy.Universal, whose file exists at the pinned commit; this challenge is not in lean/formalization.yaml. The statement TriangularEnergy.lean was read here: for every smooth nonnegative completely monotone on and every locally finite with centered disk count over tending to 1, the lattice energy (an extended-real series) is at most the liminf of disk energies of and equals that of the lattice. This states the headline energy comparison. Not rebuilt here. Permitted axioms: propext, Quot.sound, Classical.choice.
Sources
- PaperCompanion: An atomic certificate for triangular-lattice universal optimality
- Lean proofLean proof (OAI.AtomicTriangular.universal_energy_minimum)Comparator statement: TriangularEnergy.leanLean scope note for this family (lean/docs/090.md)
- CodeOpenAI math release: Universal optimality of the triangular lattice