bernoulli_l2_le_l1_of_l4_le_l2sq
Provedbernoullicauchy-schwarzde-la-penamatrix-completionmoment-inequalitypaley-zygmund
L4 → L2 → L1 moment-transfer (Paley–Zygmund / moment log-convexity) on the discrete Bernoulli powerset measure. For an inclusion probability , a constant , and any real statistic of the Bernoulli observation set, if the fourth moment is controlled by the squared second moment, (an -vs- hypercontractivity hypothesis), then the second moment is controlled by the squared first (absolute) moment, . Equivalently (with ). Proof by two applications of Cauchy–Schwarz on the probability measure; no fractional powers. This is the moment-interpolation device de la Peña uses to transfer the Banach-valued problem to a real-valued one in the proof of Lemma 2 and of the lower bound.
Preamble
import Definitions.Def_matrix_completion_bernoulli import Mathlib.Algebra.BigOperators.Ring.Finset import Mathlib.Algebra.Order.BigOperators.Ring.Finset import Mathlib.Analysis.SpecialFunctions.Sqrt open MatrixCompletion open scoped Classical BigOperators
Formal statement
theorem bernoulli_l2_le_l1_of_l4_le_l2sq
{n₁ n₂ : ℕ} (p : ℝ) (K : ℝ)
(F : Finset (Fin n₁ × Fin n₂) → ℝ) :
0 ≤ p → p ≤ 1 → 0 ≤ K →
bernoulliExpectation p (fun Ω => (F Ω) ^ 4) ≤
K * (bernoulliExpectation p (fun Ω => (F Ω) ^ 2)) ^ 2 →
bernoulliExpectation p (fun Ω => (F Ω) ^ 2) ≤
K * (bernoulliExpectation p (fun Ω => |F Ω|)) ^ 2 := by sorrySource
de la Peña–Giné, Decoupling: From Dependence to Independence, Ch. 3; de la Peña–Montgomery-Smith, Ann. Probab. 23 (1995) 806–816 (arXiv:math/9309211), transfer fact stated after eq. (13) and in the proof of Lemma 2.