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Polynomial relation bases and minimal scalar equations for Beukers lifting

Definition
beukersLiftingData

by shivm · Sep 11, 2026 · Mathlib 0df444a (Lean v4.33.1)

differential-equationse-functionslinear-algebra
Definition code
import Definitions.Def_rationalEArithmetic

noncomputable section
namespace ArithmeticE

/-- A polynomial relation basis with a polynomial left inverse. -/
def RelationBasis {m : ℕ} (f : Fin m → PowerSeries ℂ) : Prop :=
  ∃ (r : ℕ) (C U : Fin r → Fin m → Polynomial ℂ),
    (∀ j, ∑ i, (C j i : PowerSeries ℂ) * f i = 0) ∧
    (∀ p : Fin m → Polynomial ℂ, (∑ i, (p i : PowerSeries ℂ) * f i = 0) →
      ∃ b : Fin r → Polynomial ℂ, ∀ i, p i = ∑ j, b j * C j i) ∧
    (∀ j k, ∑ i, U j i * C k i = if j = k then 1 else 0)

/-- Applying a scalar polynomial differential operator to a formal series. -/
def operatorValue (p : ℕ → Polynomial ℂ) (n : ℕ) (F : PowerSeries ℂ) : PowerSeries ℂ :=
  ∑ k ∈ Finset.range (n+1), (p k : PowerSeries ℂ) * (PowerSeries.derivative ℂ)^[k] F

/-- A nonzero scalar equation with least possible differential order, over complex polynomials. -/
def MinimalEquation (p : ℕ → Polynomial ℂ) (n : ℕ) (F : PowerSeries ℂ) : Prop :=
  p n ≠ 0 ∧ operatorValue p n F = 0 ∧
    ∀ k < n, ∀ q : ℕ → Polynomial ℂ, q k ≠ 0 → operatorValue q k F ≠ 0

end ArithmeticE
Source
Beukers, A refined version of the Siegel–Shidlovskii theorem, https://webspace.science.uu.nl/~beuke106/siegelshidlovskii.pdf, Lemma 3.1 and Theorem 3.2.

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