The Cartier sequence for a closed immersion
OpenOAI.MaximalSeshadri.CartierSequence.exact_closedmaximal-seshadrioai-math
Let be a closed immersion, line bundles on , a monomorphism whose coefficient locally generates the kernel ideal of on affine frames. Then is short exact.
Formalization Note The statement is verbatim from OpenAI's Lean development, with Definitions files of this development imported in place of the upstream modules; these are supporting code for the statement.
Preamble
import Mathlib
import Definitions.Def_MaximalSeshadriConstants
import Definitions.Def_SeshadriPrelim6
namespace OAI
section
namespace MaximalSeshadri.CartierSequence
noncomputable section
open AlgebraicGeometry CategoryTheory CategoryTheory.Limits TopologicalSpace Opposite
open MaximalSeshadri.Geometry MaximalSeshadri.Frames MaximalSeshadri.ProjectiveBertini
variable {X Y : Scheme.{0}}
Formal statement
theorem exact_closed {Y : Scheme.{0}} (f : Y ⟶ X) [IsClosedImmersion f]
(M N : LineBundle X) (φ : M.sheaf ⟶ N.sheaf) [Mono φ]
(heq : ∀ x : X, ∃ U : X.affineOpens, x ∈ U.1 ∧
∃ e : M.sheaf.restrict U.1.ι ≅ O U.1.toScheme,
∃ d : N.sheaf.restrict U.1.ι ≅ O U.1.toScheme,
f.ker.ideal U = Ideal.span {U.1.topIso.hom
(endValue (e.inv ≫ (Scheme.Modules.restrictFunctor U.1.ι).map φ ≫ d.hom))}) :
∃ hz : φ ≫ LineClosedUnit.map f N = 0,
(ShortComplex.mk φ (LineClosedUnit.map f N) hz).ShortExact := by
sorry
end
end MaximalSeshadri.CartierSequence
end
end OAI
Source
OpenAI, Maximal Seshadri constants on arbitrary polarized surfaces, September 23, 2026, https://github.com/openai/math (paper: preprints/Maximal-Seshadri-Constants-on-Arbitrary-Polarized-Surfaces-September-23-2026/main.pdf; Lean: lean/OAI/AlgebraicGeometry/Seshadri, Apache License 2.0); Lean declaration `OAI.MaximalSeshadri.CartierSequence.exact_closed`, https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/lean/OAI/AlgebraicGeometry/Seshadri/Intersection/ArbitraryCartierEuler.lean#L44