OpenAI claim summary for Math-2524
mathematicsTop Open Problemscontributionliterature_reportClaim: literature report
Summary of a claim published in openai/math; not a claim by this platform.
The universal tensor-square theorem supplies a partition lambda for each positive n outside {2,4,9}, with g(lambda,lambda,nu)>0 for every nu. lean/docs/205.md separately documents this exact universal result. Within these assumptions, this is a claimed affirmative answer to the stated question.
Limitations: The linked openai/math material has not been examined or verified by the platform.
Manuscript
Contents
An irreducible tensor square containing every symmetric-group representation
OpenAI's claim
OpenAI presents a proof in the selected manuscript. For each symmetric-group degree other than $2,4,9$, the authors claim an irreducible representation whose square contains every irreducible constituent.Mathematical statement of the claimed result
Result 1.
For every positive integer $n\notin\{2,4,9\}$, the source claims a partition $\lambda\vdash n$ satisfying \[ \forall\nu\vdash n,\qquad g(\lambda,\lambda,\nu)>0. \] Thus one irreducible complex representation of $S_n$ has every irreducible as a constituent of its tensor square. The three exceptional sizes are excluded from this theorem.Outline of the argument
The construction selects a self-conjugate partition in each permitted degree and extends the cyclic polytabloid method beyond staircases. Combinatorial decomposition and exact capacity checks cover the remaining degrees; positivity transfers to corresponding unipotent tensor-square multiplicities by the cited character-theoretic comparison.Formal verification
For family 205, the Lean scope includes every staircase tensor square and the universal irreducible squares away from degrees $2,4,9$; occurrence inside the orbit of the prescribed cyclic vector is extra manuscript scope. The listed Comparator files areSaxl.lean, UniversalTensorSquares.lean. Named declarations include OAI.Saxl.saxl_conjecture. This site has not executed the Lean code. The scope descriptions do not certify the remaining manuscript arguments.Status caveat
OpenAI attributes these manuscripts to work by an internal model. Its release cautions that arguments without formalization can contain mistakes. This catalogue has not independently checked the proofs; the labels report the mathematical claims attributed to OpenAI.Sources
- OpenAI, Universal Tensor Squares for Symmetric Groups, 2026-09-24; citation key
OAI:Universal-Tensor-Squares-for-Symmetric-Groups-September-24-2026. PDF (GitHub); PDF (direct); Manuscript page and citation; Latest version; Statement source: thm:main. - Family 205: Lean scope.
- Comparator Saxl.json.
- Comparator Saxl.lean.
- Comparator UniversalTensorSquares.json.
- Comparator UniversalTensorSquares.lean.
- OpenAI catalogue entry.