A cubic lower bound for the border determinantal complexity of the permanent (beyond the quadratic Mignon-Ressayre barrier)
The determinantal complexity of a polynomial is the least with for complex matrices, and the border determinantal complexity is the least such that is a coefficientwise limit of such determinants. Valiant's algebraic completeness theory (1979) makes the growth of the algebraic analogue of P versus NP: it is conjectured to be superpolynomial, and the Mulmuley-Sohoni geometric complexity program targets . The best lower bounds were quadratic: (Mignon-Ressayre 2004) and (Landsberg-Manivel-Ressayre 2010). How fast must grow; in particular, can the quadratic lower bound be improved?
- Result
- Proved(see note)
- Status
- Partial result
- AI contribution
- AI-discovered
- Method
- Argument
- Field
- Algebraic complexity; permanent versus determinant, geometric complexity theory
- Posed by
- Leslie Valiant (permanent versus determinant, algebraic completeness); border version from the Mulmuley-Sohoni geometric complexity program
- Year posed
- 1979
- Years open
- 47y
- Solved
- 2026-09-24
- Model
- Unreleased internal OpenAI model
- Vendor
- OpenAI
- Collaborators
- —
- Verification
- Lean-checked, statement unaudited
- Publication
- Announced
- Collection
- OpenAI math release (October 2026), version adc7f12
- Significance
- 42 / 100
- Disclosed cost
- —
- Wikipedia
- No dedicated article
What was actually shown
Theorem 1.1: for , with and , over with arbitrary affine-linear entries and coefficientwise limits at fixed size; the same bound holds for , and affine-linear algebraic branching programs for need vertices and edges (also in the border sense at fixed budget). The route is a smooth-hypersurface bound for forms of degree in variables, applied to a coefficient polynomial extracted from a permanent. It remains a fixed polynomial bound: superpolynomial or for the permanent, and VP versus VNP, stay open.
What the AI did
The release README says the vast majority of results were obtained with one fixed procedure using an unreleased internal OpenAI model, on average about three hours of ChatGPT Pro thinking compute per result, and that some outputs build on earlier results produced by the models. 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 manuscripts are authored 'OpenAI' and name no human author. The family is a single manuscript (September 24, 2026), with a Lean formalization of the two headline bounds.
Verification
No independent mathematician has checked this yet. Checked here: Theorem 1.1 ( for ) was read against the permanent-determinant question. Lean: the comparator challenge lean/ComparatorChallenges/PermanentCubic.json exists with solution module OAI.Algebra.Determinantal.Main present at the pinned commit; this challenge is not listed in lean/formalization.yaml. Its statement OAI.PermanentBorder.permanent_cubic_lower_bounds was read here: for , any with a sequence of affine pencils whose determinant coefficients converge to those of (and any exact representation) satisfies . This is the headline claim. Not rebuilt here. The paper's branching-program consequences are outside the formal statement.