Generic maximal Seshadri constants in positive characteristic
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Top Open Problems unknownunknown Not reported cataloguedOpenOpenStatement
Definitions and mathematical statement
Statement recorded in the supplied source.
Over any algebraically closed field of positive characteristic, for a smooth projective geometrically integral n-fold X with $n\geq 3$ and ample L, does some $r_{0}(X,L)$ guarantee $\varepsilon (L;x_{1},\dots ,x_r)=(L^n/r)^{1/n}$ at the geometric generic ordered tuple for every $r\geq r_{0}$?Short English statement
Over any algebraically closed field of positive characteristic, for a smooth projective geometrically integral n-fold X with $n\geq 3$ and ample L, does some $r_{0}(X,L)$ guarantee $\varepsilon (L;x_{1},\dots ,x_r)=(L^n/r)^{1/n}$ at the geometric generic ordered tuple for every $r\geq r_{0}$?Sources
- S1 Original question source or mathematical context. http://aimpl.org/minimalmodcharp/5/.
- S2 Original question source or mathematical context. https://doi.org/10.1007/s40687-025-00500-2.
- S3 Original question source or mathematical context. https://doi.org/10.4171/owr/2010/45.
- S4 OpenAI, manuscript citation page. Source of the formulation motivating this local problem. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/Maximal-multipoint-Seshadri-constants-in-positive-characteristic-October-5-2026/README.md.
Statement licence: CC-BY-4.0 · Source file
Contributions 1
OpenAI claim summary for Math-2564
Manuscript 1 (family 039, 2026-10-05): The problem selects the mathematical statement summarized here, including its stated hypotheses and parameter range. The cited theorem gives a claimed proof of that assertion in full.
Generic maximal Seshadri constants in positive characteristic
OpenAI's claim
The same eventual volume-bound equality for ordinary multipoint Seshadri constants is claimed in positive characteristic at geometric generic tuples, in dimensions two and higher. The cited manuscript argues for that result; its relation to this problem is specified below.Mathematical statement of the claimed result
Mathematical claim 1.
Let $X/k$ be smooth integral projective over a field $k$ assumed algebraically closed, with characteristic $p>0$, with dimension $n\ge3$ and ample $L$. For $r$ ordered generic distinct points over the algebraic closure $K_r$ of the configuration-space function field, define \[ \varepsilon_r(X,L)=\inf_C\frac{L_{K_r}\cdot C}{\sum_{i=1}^r\operatorname{mult}_{p_i}C}, \] over integral curves meeting at least one point. OpenAI claims a threshold $r_0(X,L)$ with $\varepsilon_r(X,L)=(L^n/r)^{1/n}$ for every integer $r\ge r_0$. This is a geometric-generic-point statement, which avoids interpreting a countable exceptional-set complement over a countable field.Outline of the argument
Manuscript 1 (family 039, 2026-10-05): Formal substitutions replace the analytic degeneration used in the complex companions. A nodal equation with two distinct branches even in characteristic two permits the graded-support reshaping and finite torus interpolation to proceed over the ground field.Formal verification
For family 039, the scope page documents the following selections. The selected plane-curve inequality allows unequal multiplicities and repeated components at every allowed point count. A separate statement gives eventual maximality on each polarized complex surface, with a surface-dependent threshold; the higher-dimensional and positive-characteristic companions are not selected here. Manuscript 1 is not among the papers selected by that page, so the family link does not formalize its main conclusion.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, Maximal multipoint Seshadri constants in positive characteristic, 2026-10-05; citation key
OAI:Maximal-multipoint-Seshadri-constants-in-positive-characteristic-October-5-2026. PDF (GitHub); PDF (direct); Manuscript page and citation; Latest version; Statement source: thm:main. - Family 039: Lean scope.
- OpenAI catalogue entry.