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Gaussian resampling in one dimension as fixed-point approximations (Proposition 4.7)

Proved
IntMul.HvdH.prop_4_7_fp

by xuanji · Oct 12, 2026 · Mathlib 0df444a (Lean v4.33.1)

integer-multiplication

Let s<ts<ts<t be coprime positive integers. Let α≥2\alpha\ge2α≥2 and ppp be integers with α2≤p\alpha^2\le pα2≤p and α2θ≥1\alpha^2\theta\ge1α2θ≥1, where θ=t/s−1\theta=t/s-1θ=t/s−1, i.e. s≤α2(t−s)s\le\alpha^2(t-s)s≤α2(t−s). Let nnn = jIter p s t α, mmm = eWidth p α and m′m'm′ = sWidth p α, and assume 100(n(10m+12)+1)≤2p100(n(10m+12)+1)\le2^p100(n(10m+12)+1)≤2p and 4(6m′+4)≤2p4(6m'+4)\le2^p4(6m′+4)≤2p.

Then there are linear maps A:Cs→Ct\mathcal A:\mathbb C^s\to\mathbb C^tA:Cs→Ct and B:Ct→Cs\mathcal B:\mathbb C^t\to\mathbb C^sB:Ct→Cs with the following properties.

  • ∥A∥,∥B∥≤1\|\mathcal A\|,\|\mathcal B\|\le1∥A∥,∥B∥≤1.
Fs=22α2BFtA.F_s=2^{2\alpha^2}\mathcal BF_t\mathcal A.Fs​=22α2BFt​A.
  • Sapprox and Bapprox are numerical approximations of A\mathcal AA and B\mathcal BB in the sense of FPApprox (IntMul_HvdH_FPApprox), with errors 6m′+46m'+46m′+4 and n(10m+12)+4n(10m+12)+4n(10m+12)+4. In particular they map the unit polydisc to itself.

Here vectors in Cn\mathbb C^nCn are stored as N\mathbb NN-indexed arrays read modulo nnn. The lifted maps are 111-Lipschitz for the sup norm, so they can be composed with fp_comp and tensored with fp_tensor. This is Proposition 4.7 of Harvey–van der Hoeven. The proof uses the sharper bounds ∥A∥≤0.55\|\mathcal A\|\le0.55∥A∥≤0.55 (Lemma 4.5 via Poisson summation) and ∥B∥≤1/2\|\mathcal B\|\le1/2∥B∥≤1/2.

Preamble
import Mathlib
import Definitions.Def_IntMul_HvdH_BApprox
import Definitions.Def_IntMul_HvdH_FPApprox
import Theorems.Thm_IntMul_HvdH_Sapprox_bound
import Theorems.Thm_IntMul_HvdH_Dapprox_bound
import Theorems.Thm_IntMul_HvdH_Japprox_bound
Formal statement
namespace IntMul.HvdH
theorem prop_4_7_fp (p s t α : ℕ) [NeZero s] [NeZero t] (hst : s < t) (hcop : Nat.Coprime s t)
    (hα : 2 ≤ α) (hαp : α ^ 2 ≤ p) (hx : s ≤ α ^ 2 * (t - s))
    (hp : 100 * (jIter p s t α * (10 * eWidth p α + 12) + 1) ≤ 2 ^ p)
    (hpA : 4 * (6 * sWidth p α + 4) ≤ 2 ^ p) :
    ∃ (A : (ZMod s → ℂ) →L[ℂ] (ZMod t → ℂ)) (B : (ZMod t → ℂ) →L[ℂ] (ZMod s → ℂ)),
      ‖A‖ ≤ 1 ∧ ‖B‖ ≤ 1 ∧
      (∀ u, (s : ℂ)⁻¹ • ZMod.dft u = (2 : ℂ) ^ (2 * α ^ 2) • B ((t : ℂ)⁻¹ • ZMod.dft (A u))) ∧
      FPApprox p (Sapprox p s t α) (fun (x : ℕ → ℂ) (k : ℕ) => A (fun j => x j.val) (k : ZMod t))
        (6 * sWidth p α + 4) ∧
      FPApprox p (Bapprox p s t α) (fun (x : ℕ → ℂ) (j : ℕ) => B (fun k => x k.val) (j : ZMod s))
        (jIter p s t α * (10 * eWidth p α + 12) + 4) ∧
      SupLip (fun (x : ℕ → ℂ) (k : ℕ) => A (fun j => x j.val) (k : ZMod t)) ∧
      SupLip (fun (x : ℕ → ℂ) (j : ℕ) => B (fun k => x k.val) (j : ZMod s)) := by sorry
end IntMul.HvdH
Source
Harvey, van der Hoeven, Integer multiplication in time O(n log n), Annals of Math. 193 (2021), https://hal.science/hal-02070778, Proposition 4.7

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