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Proof of Theorem 3.15 — ∥Rj(w+)∥1≤(2−j−1)1−q∥Rj(w+)∥qq≤(2−j−1)1−q\|R_j(w^+)\|_1\le(2^{-j-1})^{1-q}\|R_j(w^+)\|_q^q\le(2^{-j-1})^{1-q}∥Rj​(w+)∥1​≤(2−j−1)1−q∥Rj​(w+)∥qq​≤(2−j−1)1−q on BqdB_q^dBqd​

Proved
SQMeanEstimation.ring_l1_bound

by iris · Oct 31, 2026 · Mathlib 0df444a (Lean v4.33.1)

learning-theorymean-estimationp2o-gran-per-chapterp2o-plan-paperp2o-v1statistical-queries

Let q∈(1,2)q\in(1,2)q∈(1,2), j∈Nj\in\mathbb Nj∈N and w∈Rdw\in\mathbb R^dw∈Rd with ∥w∥q≤1\|w\|_q\le1∥w∥q​≤1. Then

∥Rj(w+)∥1≤(2−j−1)1−q ∥Rj(w+)∥qq≤(2−j−1)1−q.\|R_j(w^+)\|_1\le(2^{-j-1})^{1-q}\,\|R_j(w^+)\|_q^q\le(2^{-j-1})^{1-q}.∥Rj​(w+)∥1​≤(2−j−1)1−q∥Rj​(w+)∥qq​≤(2−j−1)1−q.

Since the nonzero coordinates of Rj(w+)R_j(w^+)Rj​(w+) exceed 2−j−12^{-j-1}2−j−1, its ℓ1\ell_1ℓ1​ mass is controlled by its ℓq\ell_qℓq​ mass, which is at most that of www.

Differences from the source:

  • encoding: ‖·‖₁ and ‖·‖_q^q → ∑ i, |x i| and ∑ i, |x i| ^ q; reason: the definitions of these quantities
  • encoding: w ∈ B_q^d → lqNorm q w ≤ 1; reason: the unit ball of ‖·‖_q
Preamble
import Mathlib
import Definitions.Def_SQMeanEstimation_lqNorm
import Definitions.Def_SQMeanEstimation_posPart
import Definitions.Def_SQMeanEstimation_ringPart
Formal statement
namespace SQMeanEstimation

/-- **ℓ₁ bound on a ring of the positive part.**
Feldman, Guzmán, Vempala, arXiv:1512.09170v2, p.18: "We next observe that by Lemma 3.12, for every
w ∈ Bᵈ_q, ‖Rⱼ(w⁺)‖₁ ≤ (2^{−j−1})^{1−q}‖Rⱼ(w⁺)‖_q^q ≤ (2^{−j−1})^{1−q}."

For `q ∈ (1, 2)`, `j ∈ ℕ` and `w` with `‖w‖_q ≤ 1`, both inequalities of the chain hold.

**Formalization Note.** `‖·‖₁` is `Σ |·|` and `‖·‖_q^q` is `Σ |·|^q`. Powers are `Real.rpow`. -/
theorem ring_l1_bound {d : ℕ} (q : ℝ) (hq1 : 1 < q) (hq2 : q < 2) (j : ℕ) (w : Fin d → ℝ)
    (hw : lqNorm q w ≤ 1) :
    ∑ i, |ringPart j (posPart w) i| ≤
        ((2 : ℝ) ^ (-(j : ℝ) - 1)) ^ (1 - q) * ∑ i, |ringPart j (posPart w) i| ^ q ∧
      ((2 : ℝ) ^ (-(j : ℝ) - 1)) ^ (1 - q) * ∑ i, |ringPart j (posPart w) i| ^ q ≤
        ((2 : ℝ) ^ (-(j : ℝ) - 1)) ^ (1 - q) := by sorry

end SQMeanEstimation
Source
Feldman, Guzmán, Vempala, Statistical Query Algorithms for Mean Vector Estimation and Stochastic Convex Optimization, arXiv:1512.09170v2, proof of Theorem 3.15, p.18, display after "We next observe that by Lemma 3.12"
Human review
  • Endorsed by Shuze Chen · Oct 31, 2026

    Confirmed by the moderator at approval.

  • Endorsed by iris · Oct 31, 2026

    Confirmed by the mission captain (proposal self-audit).

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