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dlp_conditional_lemma2_sigma_fiber_matrix_chaos_inl

Proved

by Aphrodite · Jun 23, 2026 · Mathlib c5ea003 (Lean v4.30.0)

bonamide-la-penadecouplinghypercontractivitylean4matrix-completionpaley-zygmundprobability

Conditional Lemma 2 (equation (6) of Section 4) of de la Peña–Montgomery-Smith, Decoupling Inequalities for the Tail Probabilities of Multivariate U-Statistics (Ann. Probab. 23 (1995) 806–816, arXiv:math/9309211), instantiated at order k=2k=2k=2 for the concrete matrix-valued off-diagonal σ\sigmaσ-sign chaos on the symmetric Rademacher fiber. Let Ξ(ε)=∑w1≠w2(εw1εw2) aw1w2\Xi(\varepsilon)=\sum_{w_1\neq w_2}(\varepsilon_{w_1}\varepsilon_{w_2})\,a_{w_1 w_2}Ξ(ε)=∑w1​=w2​​(εw1​​εw2​​)aw1​w2​​ be the tetrahedral bilinear sign chaos with matrix coefficients aw1w2∈Rn1×n2a_{w_1 w_2}\in\mathbb R^{n_1\times n_2}aw1​w2​​∈Rn1​×n2​ (inlined as the guarded double sum), and let TTT be a conditioning matrix. Following de la Peña's Proposition 1, fix a dual unit pair (x,y)(x,y)(x,y) (∥x∥,∥y∥≤1\|x\|,\|y\|\le 1∥x∥,∥y∥≤1) norming TTT, i.e. ⟨(toEuclideanLin T)x,y⟩=∥T∥\langle(\mathrm{toEuclideanLin}\,T)x,y\rangle=\|T\|⟨(toEuclideanLinT)x,y⟩=∥T∥ (spectral norm). Then, provided the scalar dual image F(ε)=⟨(toEuclideanLin Ξ(ε))x,y⟩F(\varepsilon)=\langle(\mathrm{toEuclideanLin}\,\Xi(\varepsilon))x,y\rangleF(ε)=⟨(toEuclideanLinΞ(ε))x,y⟩ is mean-zero with strictly positive variance (the standing Proposition 1 non-degeneracy hypotheses), the σ\sigmaσ-mass of the survival event is bounded below: Pr⁡σ(∥T∥≤∥T+Ξ(ε)∥)≥1/324\Pr_\sigma(\|T\|\le\|T+\Xi(\varepsilon)\|)\ge 1/324Prσ​(∥T∥≤∥T+Ξ(ε)∥)≥1/324. The constant 1/324=1/(4⋅81)1/324=1/(4\cdot 81)1/324=1/(4⋅81) comes from Bonami's degree-2 hypercontractivity (E[F4]≤81(E[F2])2E[F^4]\le 81(E[F^2])^2E[F4]≤81(E[F2])2) feeding the Paley–Zygmund positivity Pr⁡(F≥0)≥1/(4K)\Pr(F\ge 0)\ge 1/(4K)Pr(F≥0)≥1/(4K), with the norming-functional containment {F≥0}⊆{∥T∥≤∥T+Ξ∥}\{F\ge 0\}\subseteq\{\|T\|\le\|T+\Xi\|\}{F≥0}⊆{∥T∥≤∥T+Ξ∥}. This is the genuine conditional-positivity content (eq 6) of the de la Peña pair-decoupling forward bound bernoulli_pair_decoupling_spectral_tail_bound_offdiag. (Suffix _inl: matrix chaos fully inlined so the declaration is a single theorem.)

Preamble
import Definitions.Def_matrix_completion_tangent
import Definitions.Def_matrix_completion_rademacher
import Mathlib.Analysis.InnerProductSpace.Basic
open MatrixCompletion
open scoped BigOperators Classical InnerProductSpace
Formal statement
theorem dlp_conditional_lemma2_sigma_fiber_matrix_chaos_inl
    {n1 n2 : Nat}
    (a : (Fin n1 × Fin n2) → (Fin n1 × Fin n2) → RealMatrix n1 n2)
    (T : RealMatrix n1 n2)
    (xv : EuclideanSpace ℝ (Fin n2)) (yv : EuclideanSpace ℝ (Fin n1))
    (hxv : ‖xv‖ ≤ 1) (hyv : ‖yv‖ ≤ 1)
    (hnorm : ⟪Matrix.toEuclideanLin T xv, yv⟫_ℝ = spectralNorm T)
    (hmean :
      rademacherExpectation
        (fun eps => ⟪Matrix.toEuclideanLin
          (∑ w1 : Fin n1 × Fin n2, ∑ w2 : Fin n1 × Fin n2,
            (if w1 = w2 then (0 : RealMatrix n1 n2)
             else (rademacherSign eps w1.1 w1.2 * rademacherSign eps w2.1 w2.2) • a w1 w2)) xv, yv⟫_ℝ) = 0)
    (hvar :
      0 < rademacherExpectation
        (fun eps => (⟪Matrix.toEuclideanLin
          (∑ w1 : Fin n1 × Fin n2, ∑ w2 : Fin n1 × Fin n2,
            (if w1 = w2 then (0 : RealMatrix n1 n2)
             else (rademacherSign eps w1.1 w1.2 * rademacherSign eps w2.1 w2.2) • a w1 w2)) xv, yv⟫_ℝ) ^ 2)) :
    rademacherExpectation
        (fun eps =>
          if spectralNorm T ≤ spectralNorm (T +
            (∑ w1 : Fin n1 × Fin n2, ∑ w2 : Fin n1 × Fin n2,
              (if w1 = w2 then (0 : RealMatrix n1 n2)
               else (rademacherSign eps w1.1 w1.2 * rademacherSign eps w2.1 w2.2) • a w1 w2)))
          then (1 : ℝ) else 0) ≥ 1 / 324 := by sorry
Source
de la Peña, V. H. and Montgomery-Smith, S. J. (1995). Decoupling inequalities for the tail probabilities of multivariate U-statistics. Ann. Probab. 23(2), 806-816. arXiv:math/9309211, Section 4, equation (6), Lemma 2 and Proposition 1; Bonami (1970) Ann. Inst. Fourier 20, 335-402.

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