Extrapolation from the vanishing grid (Waldschmidt 1973, Lemma 5)
ProvedFourExp.extrapolationfour-exponentialsnumber-theorytranscendence
Small derivatives on a larger grid. Let and let be -linearly independent. For every there are and such that for every the following holds, with
Suppose the coefficients satisfy and for , , , where
Then for all , , .
Proof sketch. For , vanishes to order at least at the points of the small grid. Apply FourExp.cauchy_estimate_with_zeros (Proved) on a disc of radius around the target point, bounding there by Cauchy's estimate. The zeros gain . The cost is .
A purely analytic lemma; are arbitrary.
Preamble
import Mathlib
Formal statement
namespace FourExp
theorem extrapolation
(x₁ x₂ y₁ y₂ : ℂ) (hy : LinearIndependent ℚ ![y₁, y₂]) (κ : ℝ) (hκ : 0 < κ) :
∃ κ' : ℝ, 0 < κ' ∧ ∃ N₀ : ℕ, ∀ N : ℕ, N₀ < N →
∀ c : Fin ⌊(N : ℝ) ^ 2 / Real.sqrt (Real.log (N : ℝ))⌋₊ → Fin (2 * N) → Fin (2 * N) → ℂ,
(∀ i j k', ‖c i j k'‖ ≤ Real.exp (κ * ((N : ℝ) ^ 2 * Real.sqrt (Real.log (N : ℝ))))) →
(∀ a b m : ℕ, a < ⌊(N : ℝ) / Real.sqrt (Real.log (N : ℝ))⌋₊ → b < ⌊(N : ℝ) * Real.sqrt (Real.log (N : ℝ))⌋₊ → m < ⌊(N : ℝ) ^ 2 / Real.sqrt (Real.log (N : ℝ))⌋₊ →
iteratedDeriv m (fun z : ℂ => ∑ i : Fin ⌊(N : ℝ) ^ 2 / Real.sqrt (Real.log (N : ℝ))⌋₊, ∑ j : Fin (2 * N), ∑ k' : Fin (2 * N),
c i j k' * z ^ (i : ℕ) * Complex.exp ((((j : ℕ) : ℂ) * x₁ + ((k' : ℕ) : ℂ) * x₂) * z)) ((a : ℂ) * y₁ + (b : ℂ) * y₂) = 0) →
∀ s : ℕ, s < ⌊(N : ℝ) ^ 2 / Real.sqrt (Real.log (N : ℝ))⌋₊ / 2 → ∀ a b : ℕ, a < 14 * ⌊(N : ℝ) / Real.sqrt (Real.log (N : ℝ))⌋₊ → b < 14 * ⌊(N : ℝ) * Real.sqrt (Real.log (N : ℝ))⌋₊ →
‖iteratedDeriv s (fun z : ℂ => ∑ i : Fin ⌊(N : ℝ) ^ 2 / Real.sqrt (Real.log (N : ℝ))⌋₊, ∑ j : Fin (2 * N), ∑ k' : Fin (2 * N),
c i j k' * z ^ (i : ℕ) * Complex.exp ((((j : ℕ) : ℂ) * x₁ + ((k' : ℕ) : ℂ) * x₂) * z)) ((a : ℂ) * y₁ + (b : ℂ) * y₂)‖
≤ Real.exp (-(((N : ℝ) ^ 4 * Real.sqrt (Real.log (N : ℝ))) / κ')) := by
sorry
end FourExp
Source
M. Waldschmidt, Solution du huitième problème de Schneider, J. Number Theory 5 (1973), 191–202, Lemma 5.