Initial exponents at a node lie in a quadrilateral
ProvedOAI.MaximalSeshadri.NodalLocal.nodal_associated_quadrilateralIn , let be a unit, with nonzero restrictions to both axes, and associated to . Let and with and . If is the lexicographic initial exponent of for weight , then lies in nodeQuadrilateral with vertices , , , .
Notation. sectionIdeal k s hs v is the comap along sectionsMorphism of the ideal sheaf of the hyperplane with coefficients ; sectionCombination k s v is . nodeQuadrilateral a b c is the convex hull of . LexInitial c t e says that and minimizes among exponents with nonzero coefficient, ties broken by the smaller second coordinate.
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.
import Mathlib import Definitions.Def_MaximalSeshadriConstants import Definitions.Def_SeshadriPrelim6 namespace OAI section namespace MaximalSeshadri.NodalLocal noncomputable section open PowerSeries
theorem nodal_associated_quadrilateral (u f g : Bivariate ℂ) (j : ℕ)
(d H t k n : ℝ) (hd : 0 < d) (hH : 0 < H) (ht : 0 < t) (hk : 0 < k)
(hu : IsUnit u) (hx : restrictX ℂ f ≠ 0) (hz : restrictZ ℂ f ≠ 0)
(hcolength : (Module.finrank ℂ (Bivariate ℂ ⧸ intersectionIdeal ℂ f) : ℝ) ≤ n*d*H)
(hdegree : n+(j:ℝ)*d=k) (hassoc : Associated ((u*nodeEquation ℂ)^j*f) g)
(p : Exponent) (hp : LexInitial (bivariateCoeff g) t p) :
((p.1:ℝ),(p.2:ℝ)) ∈ nodeQuadrilateral
(k*(d*H*t/(1+t))) (k*(d*H/(1+t))) (k/d) := by
sorry
end
end MaximalSeshadri.NodalLocal
end
end OAI