Landsberg's Problem 7.19: a polynomial stabilization bound for the canonical Foulkes-Howe map
For and a finite-dimensional complex vector space , the canonical Foulkes-Howe (Hadamard-Howe) map is induced by multiplication in ; its image is the degree- part of the coordinate ring of the Chow variety of products of linear forms, whose normalization is the whole target. Surjectivity in degree gives an equivariant embedding as in Foulkes' conjecture. Brion proved eventual surjectivity and later an effective bound depending on both and . Landsberg's survey of geometric complexity theory (Problem 7.19) asks for a polynomial bound. Is there a degree bound, polynomial in and valid in every dimension, beyond which is surjective?
- Result
- Proved(see note)
- Status
- Candidate (review pending)
- AI contribution
- AI-discovered
- Method
- Argument
- Field
- Representation theory; Chow varieties and geometric complexity theory
- Posed by
- J. M. Landsberg (Geometric complexity theory: an introduction for geometers, Ann. Univ. Ferrara 2015, Problem 7.19)
- Year posed
- 2015
- Years open
- 11y
- Solved
- 2026-09-25
- Model
- Unreleased internal OpenAI model
- Vendor
- OpenAI
- Collaborators
- —
- Verification
- Lean-checked, statement unaudited
- Publication
- Announced
- Collection
- OpenAI math release (October 2026), version adc7f12
- Significance
- 17 / 100
- Disclosed cost
- —
- Wikipedia
- No dedicated article
What was actually shown
Theorem 1: for every , and finite-dimensional complex , is surjective; equivalently the Chow-variety coordinate ring agrees with its normalization in degree . In Landsberg's notation the bound is , in every dimension. By complete reducibility this yields Foulkes' embedding for . The least stabilization degree is not determined, the bound is not claimed sharp, and nothing is said about injectivity of the map in the other direction (which fails at and ).
What the AI did
The release README says all results in the release were produced by an unreleased internal OpenAI model with one fixed procedure, on average about three hours of ChatGPT Pro thinking compute per result. This family 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 stabilization theorem is also the large-degree input to the companion proving the sixth case of Foulkes' conjecture (separate entry). The release includes a Lean formalization of it.
Verification
No independent mathematician has checked this yet. Checked here: Theorem 1 and the history paragraph were read against Landsberg's request for a polynomial bound as the manuscript cites it. Lean: formalization.yaml lists ComparatorChallenges/FoulkesHowe (declaration OAI.Problem346.canonical_foulkes_howe_surjective, file OAI/RepresentationTheory/FoulkesHowe/Stabilization.lean). The statement was read: for every finite-dimensional complex and , , there is a unique linear map given by the averaged transpose formula on products, and it is surjective. That is the headline. Not rebuilt here. The paper does not claim the bound is sharp.
Sources
- PaperCompanion: Foulkes' conjecture for the sixth symmetric power
- Lean proofLean proof (OAI.Problem346.canonical_foulkes_howe_surjective)
- CodeOpenAI math release: Quadratic stabilization of the canonical Foulkes-Howe map
- Problem recordLandsberg, Geometric complexity theory: an introduction for geometers (Problem 7.19)