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Finite polynomial derivative interpolation at an arbitrary point

Proved
ArithmeticE.prescribed_polynomial_jets

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

e-functionsformalizationlinear-algebra

Over a field KKK of characteristic zero, any finite list of derivative values can be prescribed at a point ξ∈K\xi\in Kξ∈K. For any sequence ak∈Ka_k\in Kak​∈K and integer N≥0N\ge0N≥0, there is a polynomial PPP such that P(k)(ξ)=akP^{(k)}(\xi)=a_kP(k)(ξ)=ak​ for all k<Nk<Nk<N. A witness is the finite Taylor polynomial ∑k<Nak(X−ξ)k/k!\sum_{k<N}a_k(X-\xi)^k/k!∑k<N​ak​(X−ξ)k/k!. This supplies the polynomial interpolation ingredient used to choose the derivative rows in the ordinary cyclic-vector construction. It does not itself construct the covariant derivative rows or prove scalar-equation minimality.

Preamble
import Mathlib
Formal statement
theorem ArithmeticE.prescribed_polynomial_jets {K : Type*} [Field K] [CharZero K]
    (ξ : K) (N : ℕ) (a : ℕ → K) :
    ∃ P : Polynomial K, ∀ k < N, (Polynomial.derivative^[k] P).eval ξ = a k := by sorry
Source
Finite Taylor interpolation; used in Beukers, https://webspace.science.uu.nl/~beuke106/siegelshidlovskii.pdf, Theorem 3.2, pp. 6–7.

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