OpenAI claim summary for Math-2457
mathematicsTop Open Problemscontributionliterature_reportClaim: literature report
Summary of a claim published in openai/math; not a claim by this platform.
Manuscript 1 (family 314, 2026-09-24): The sharp loss r_n(G,H)=ell(G,H) gives precisely m>=n+ell(G,H) for the finite-spectrum acyclicity implication; type monotonicity handles larger m, and trivial-action type-n spectra disprove m<n.
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Manuscript
Contents
Chromatic Fixed-Point Implications for Finite p-Groups
OpenAI's claim
For every subgroup of a finite p-group, the optimal chromatic loss under fixed points is claimed to equal its shortest subnormal-chain length with cyclic quotients, independently of height. The cited manuscript argues for that result; its relation to this problem is specified below.Mathematical statement of the claimed result
Mathematical claim 1.
Fix a prime $p$, finite $p$-group $G$, subgroup $H$ and integer $n\ge0$. Let $r_n(G,H)$ be the least $r\ge0$ such that for every finite $p$-local genuine $G$-spectrum $X$, \[ K(n+r)_*(\Phi^HX)=0\quad\Longrightarrow\quad K(n)_*(\Phi^GX)=0. \] Here $\Phi$ denotes geometric fixed points and $K(0)=H\mathbb Q$. Let $\ell(G,H)$ be the smallest number of steps among subnormal chains from $H$ to $G$ having a cyclic quotient at each step, and $\ell(G,G)=0$. OpenAI claims $r_n(G,H)=\ell(G,H)$ for all these parameters. Minimality includes finite witness spectra ruling out every smaller loss.Outline of the argument
Manuscript 1 (family 314, 2026-09-24): Character evaluations construct a pro-p comparison group whose finite sections need few generators. Groupoid integration supplies subgroup-count congruences that force a sufficiently short closed series with Z_p factors. Finite chromatic fracture translates this arithmetic bound into fixed-point vanishing, and tensor-prime separation provides witnesses showing that no smaller loss can work.Formal verification
Family 314 has no Lean scope page in this snapshot; no formalization of these manuscript results is listed.This site has not executed the Lean files or checked their dependencies. These descriptions report the scope of the linked declarations, rather than a new verification of the proofs.
Status caveat
OpenAI attributes these results to an internal model. Its release notice cautions that results lacking full formalization can contain mistakes. This site has not independently assessed the proofs; a solved label records the scope of the reported claim.Sources
- OpenAI, Cyclic length and chromatic fixed-point loss, 2026-09-24; citation key
OAI:Cyclic-Length-and-Chromatic-Fixed-Point-Loss-September-24-2026. PDF (GitHub); PDF (direct); Manuscript page and citation; Latest version; Statement source: thm:main. - OpenAI catalogue entry.