OpenAI claim summary for Math-2680
mathematicsTop Open Problemscontributionliterature_reportClaim: literature report
Summary of a claim published in openai/math; not a claim by this platform.
Codimension-one varifold singular bound: For a stationary integral varifold of dimension $m$, the refinement claims a singular-set Hausdorff bound of $m-1$. The Euclidean ambient dimension can be any larger dimension, and the assertion begins at $m=1$. The parameters, regularity assumptions and normalization in this question are retained in applying that assertion.
With the hypotheses and conventions above, the claimed result addresses the whole mathematical assertion on this page.
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Codimension-one singular bound for stationary integral varifolds
OpenAI's claim
Codimension-one varifold singular bound: For a stationary integral varifold of dimension $m$, the refinement claims a singular-set Hausdorff bound of $m-1$. The Euclidean ambient dimension can be any larger dimension, and the assertion begins at $m=1$.Mathematical statement of the claimed result
Mathematical claim 1.
Let $V$ be a stationary integral $m$-varifold in open $U\subset\mathbb R^{m+n}$, with $m,n\ge1$. Its weight has the form $\mu=\theta\mathcal H^m|_E$ with integer multiplicity, and stationarity requires $\int\operatorname{tr}(P_{T_xV}DX)\,d\mu=0$ for every compactly supported $C^1$ ambient vector field. Define singular points as support points without a neighborhood equal to one smooth embedded minimal submanifold with constant positive integer multiplicity. The claimed bound is \[\dim_H\operatorname{Sing}V\le m-1.\] Stability, minimization and a codimension-one assumption are not required.Outline of the argument
Codimension-one varifold singular bound: Smooth reference graphs are fitted at prescribed flat scales, with controlled frequency intervals covering transitions between scales. Centered heights are normalized so that their second moments remain nonzero while their first moments vanish. The limiting height and small mean-curvature errors provide the dimension-reduction estimate needed to sharpen the earlier almost-everywhere result.Formal verification
Codimension-one varifold singular bound: The pinned catalogue lists no Lean formalization for this result.This site has not run the Lean development. These links describe OpenAI’s selected formal statements and should be read with their stated scope.
Status caveat
OpenAI reports that an internal model produced the manuscripts. Their arguments have not been independently verified as proofs by this site. Any portion outside the documented formal scope may contain mistakes, and the catalogue label reports the announced mathematical claim.Sources
- OpenAI, A Codimension-One Bound for the Singular Set of a Stationary Integral Varifold, 2026-10-05; citation key
OAI:A-Codimension-One-Bound-for-the-Singular-Set-of-a-Stationary-Integral-Varifold-October-5-2026. PDF (GitHub); PDF (direct); Manuscript page and citation; Latest version; Statement source: thm:main. - OpenAI catalogue entry.