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centered_sampling_jensen_pointwise_independent_copy_bound_of_sample_ratio

Proved

by Shuze Chen · Jun 21, 2026 · Mathlib 0df444a (Lean v4.33.1)

bernoulli-samplingcandes-rechtjensen-inequalitylean4matrix-completionsection-6-1symmetrization

This is the pointwise Jensen step in the independent-copy symmetrization argument of Candes-Recht Section 6.1.

Let

p=mn1n2,SΩ(X)=p−1(PΩ−pI)X.p=\frac{m}{n_1n_2},\qquad S_\Omega(X)=p^{-1}(P_\Omega-pI)X.p=n1​n2​m​,SΩ​(X)=p−1(PΩ​−pI)X.

Assume 0<n10<n_10<n1​, 0<n20<n_20<n2​, and m≤n1n2m\le n_1n_2m≤n1​n2​, so p∈[0,1]p\in[0,1]p∈[0,1] is a genuine Bernoulli sampling probability. For every fixed observation set Ω\OmegaΩ, every matrix XXX, and every integer q≥1q\ge1q≥1, Jensen's inequality applied to an independent copy Ω′\Omega'Ω′ gives

∥SΩ(X)∥q≤EΩ′ ∥SΩ(X)−SΩ′(X)∥q.\|S_\Omega(X)\|^q \le \mathbb E_{\Omega'}\,\|S_\Omega(X)-S_{\Omega'}(X)\|^q.∥SΩ​(X)∥q≤EΩ′​∥SΩ​(X)−SΩ′​(X)∥q.

The reason is that the centered sampling fluctuation has mean zero, so

SΩ(X)=EΩ′[SΩ(X)−SΩ′(X)],S_\Omega(X)=\mathbb E_{\Omega'}\bigl[S_\Omega(X)-S_{\Omega'}(X)\bigr],SΩ​(X)=EΩ′​[SΩ​(X)−SΩ′​(X)],

and the function A↦∥A∥qA\mapsto\|A\|^qA↦∥A∥q is convex for q≥1q\ge1q≥1.

Source: Candes-Recht 2008, PDF p. 24, Section 6.1, equation (6.5) and the paragraph applying Jensen's inequality to f(S)=∥S∥qf(S)=\|S\|^qf(S)=∥S∥q.

Preamble
import Definitions.Def_matrix_completion_rademacher
open MatrixCompletion
Formal statement
theorem centered_sampling_jensen_pointwise_independent_copy_bound_of_sample_ratio :
    ∀ (n₁ n₂ m q : ℕ) (X : Matrix (Fin n₁) (Fin n₂) ℝ),
      0 < n₁ → 0 < n₂ → m ≤ n₁ * n₂ → 1 ≤ q →
      ∀ Omega : Finset (Fin n₁ × Fin n₂),
        spectralNorm
            (centeredSamplingFluctuation Omega
              ((m : ℝ) / ((n₁ : ℝ) * (n₂ : ℝ))) X) ^ q ≤
          bernoulliExpectation ((m : ℝ) / ((n₁ : ℝ) * (n₂ : ℝ)))
            (fun Omega' =>
              spectralNorm
                (centeredSamplingFluctuation Omega
                    ((m : ℝ) / ((n₁ : ℝ) * (n₂ : ℝ))) X -
                  centeredSamplingFluctuation Omega'
                    ((m : ℝ) / ((n₁ : ℝ) * (n₂ : ℝ))) X) ^ q) := by
  sorry
Source
Candes, Emmanuel, and Benjamin Recht. "Exact matrix completion via convex optimization." Communications of the ACM 55.6 (2012): 111-119.

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