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Algebraic polynomial interpolation of cleared derivative rows

Proved
ArithmeticE.cleared_derivative_jet_interpolation

by shivm · Sep 12, 2026 · Mathlib 0df444a (Lean v4.33.1)

differential-equationsformalizationlinear-algebra

Let T∈Q[X]T\in\mathbb Q[X]T∈Q[X] and let BBB be an m×mm\times mm×m rational polynomial matrix. Fix an algebraic complex number ξ\xiξ with T(ξ)≠0T(\xi)\ne0T(ξ)=0. For any N≥0N\ge0N≥0 and any prescribed algebraic rows w0,…,wN−1∈Q‾ mw_0,\ldots,w_{N-1}\in\overline{\mathbb Q}^{\,m}w0​,…,wN−1​∈Q​m, there is a row PPP of polynomials with algebraic coefficients such that

Rk(P)(ξ)=wk(0≤k<N),R_k(P)(\xi)=w_k\qquad(0\le k<N),Rk​(P)(ξ)=wk​(0≤k<N),

where R0(P)=PR_0(P)=PR0​(P)=P and Rk+1(P)=TRk(P)′+Rk(P)B−kT′Rk(P)R_{k+1}(P)=TR_k(P)'+R_k(P)B-kT'R_k(P)Rk+1​(P)=TRk​(P)′+Rk​(P)B−kT′Rk​(P).

This is the finite interpolation component of the ordinary cyclic-vector construction. It involves no E-functions, convergence, or arithmetic denominator estimates. The cases N=0N=0N=0 and m=0m=0m=0 are included.

Preamble
import Definitions.Def_clearedDerivativeRows
open ArithmeticE
Formal statement
theorem ArithmeticE.cleared_derivative_jet_interpolation
    (m : ℕ) (T : Polynomial ℚ) (B : Matrix (Fin m) (Fin m) (Polynomial ℚ))
    (ξ : ℂ) (hξ : IsAlgebraic ℚ ξ)
    (hreg : T.eval₂ (algebraMap ℚ ℂ) ξ ≠ 0)
    (N : ℕ) (w : ℕ → Fin m → ℂ)
    (hw : ∀ k < N, ∀ i, IsAlgebraic ℚ (w k i)) :
    ∃ P : Fin m → Polynomial ℂ,
      (∀ i k, IsAlgebraic ℚ ((P i).coeff k)) ∧
      ∀ k < N, ∀ i, (clearedDerivativeRows T B P k i).eval ξ = w k i := by sorry
Source
Auxiliary formalization of Beukers, A refined version of the Siegel–Shidlovskii theorem, Theorem 3.2, printed pp. 6–7 (prescribed derivative rows and determinant equation), https://webspace.science.uu.nl/~beuke106/siegelshidlovskii.pdf. These explicit polynomial-numerator and module-coordinate interfaces are derived from the proof, not quoted named lemmas.

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