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Initial exponents at a node lie in a quadrilateral

Proved
OAI.MaximalSeshadri.NodalLocal.nodal_associated_quadrilateral

by wurtle · Nov 4, 2026 · Mathlib 0df444a (Lean v4.33.1)

maximal-seshadrioai-math

In C[[x,z]]\mathbb C[[x,z]]C[[x,z]], let uuu be a unit, fff with nonzero restrictions to both axes, and ggg associated to (u⋅xz)jf(u\cdot xz)^jf(u⋅xz)jf. Let d,H,t,k>0d,H,t,k>0d,H,t,k>0 and nnn with dim⁡C[[x,z]]/(f,xz)≤ndH\dim\mathbb C[[x,z]]/(f,xz)\le ndHdimC[[x,z]]/(f,xz)≤ndH and n+jd=kn+jd=kn+jd=k. If ppp is the lexicographic initial exponent of ggg for weight ttt, then ppp lies in nodeQuadrilateral with vertices (0,0)(0,0)(0,0), (kdHt/(1+t),0)(kdHt/(1+t),0)(kdHt/(1+t),0), (k/d,k/d)(k/d,k/d)(k/d,k/d), (0,kdH/(1+t))(0,kdH/(1+t))(0,kdH/(1+t)).

Notation. sectionIdeal k s hs v is the comap along sectionsMorphism of the ideal sheaf of the hyperplane with coefficients vvv; sectionCombination k s v is ∑jk(vj)sj\sum_j k(v_j)s_j∑j​k(vj​)sj​. nodeQuadrilateral a b c is the convex hull of (0,0),(a,0),(c,c),(0,b)(0,0),(a,0),(c,c),(0,b)(0,0),(a,0),(c,c),(0,b). LexInitial c t e says that ce≠0c_e\ne0ce​=0 and eee minimizes p1+tp2p_1+tp_2p1​+tp2​ 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.

Preamble
import Mathlib
import Definitions.Def_MaximalSeshadriConstants
import Definitions.Def_SeshadriPrelim6

namespace OAI

section

namespace MaximalSeshadri.NodalLocal
noncomputable section
open PowerSeries

Formal statement
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
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.NodalLocal.nodal_associated_quadrilateral`, https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/lean/OAI/AlgebraicGeometry/Seshadri/Nodal/NodalAssociated.lean#L29

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