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RequestProject.HadamardCn3DiscreteMoments

Discrete Sign Moment Layer For The Cn^3 Formalization #

This module packages the reusable discrete sign-average identities and low-order moment estimates that feed the residual, local-gap, and fixed-n layers.

It contains the cubic and quintic pointwise controls for the discrete statistics attached to innerX, but it does not contain the Mossel-O'Donnell-Oleszkiewicz invariance-principle material itself.

theorem sNorm_nonneg (n : ) (lam : Fin nFin n) :
0 sNorm n lam
theorem avgSigns_const (n : ) (c : ) :
(avgSigns n fun (x : Fin nFin 2) => c) = c

Basic Discrete Averages #

theorem avgSigns_add (n : ) (f g : (Fin nFin 2)) :
(avgSigns n fun (σ : Fin nFin 2) => f σ + g σ) = avgSigns n f + avgSigns n g
theorem avgSigns_mul_const_left (n : ) (c : ) (f : (Fin nFin 2)) :
(avgSigns n fun (σ : Fin nFin 2) => c * f σ) = c * avgSigns n f
theorem avgSigns_sum {n : } {α : Type u_1} [DecidableEq α] (s : Finset α) (f : α(Fin nFin 2)) :
(avgSigns n fun (σ : Fin nFin 2) => as, f a σ) = as, avgSigns n (f a)
theorem avgSigns_linearX_sq (n : ) (x : Fin n) :
(avgSigns n fun (σ : Fin nFin 2) => linearX n x σ ^ 2) = i : Fin n, x i ^ 2
theorem avgSigns_linearX_four (n : ) (x : Fin n) :
(avgSigns n fun (σ : Fin nFin 2) => linearX n x σ ^ 4) = 3 * (∑ i : Fin n, x i ^ 2) ^ 2 - 2 * i : Fin n, x i ^ 4
theorem linearX_sq_eq_diag_add_offdiag (n : ) (x : Fin n) (σ : Fin nFin 2) :
linearX n x σ ^ 2 = i : Fin n, x i ^ 2 + 2 * i : Fin n, j : Fin n, if i < j then x i * x j * (signOf (σ i)) * (signOf (σ j)) else 0
theorem abs_avgSigns_le_avgSigns_abs (n : ) (f : (Fin nFin 2)) :
|avgSigns n f| avgSigns n fun (σ : Fin nFin 2) => |f σ|
theorem momentX_four_peel_last (n : ) (lam : Fin (n + 1)Fin (n + 1)) :
momentX (n + 1) lam 4 = (momentX n (minorLamLast lam) 4 + 6 * avgSigns n fun (σ : Fin nFin 2) => innerX n (minorLamLast lam) σ ^ 2 * linearX n (lastColLam lam) σ ^ 2) + (3 * (∑ i : Fin n, lastColLam lam i ^ 2) ^ 2 - 2 * i : Fin n, lastColLam lam i ^ 4)
theorem fixedDegreeHC_degree2_W_fourth (n : ) (mu : Cn3Torus.Edge n) :
(Cn3Torus.avgOver n fun (y : Fin nBool) => |Cn3Torus.W mu y| ^ 4) 3 ^ 4 * Cn3Torus.sqNormEdge n mu ^ 2

Internal proof of the degree-2 L^4 hypercontractive bound used downstream.

theorem Cn3Torus.avgOver_abs_five_le_1125_mul_sqNormEdge_fiveHalves (n : ) (mu : Edge n) :
(avgOver n fun (y : Fin nBool) => |W mu y| ^ 5) 1125 * sqNormEdge n mu ^ (5 / 2)
theorem momentX_five_abs_le (n : ) (lam : Fin nFin n) :
|momentX n lam 5| 1125 * sNorm n lam ^ (5 / 2)

Discrete Sign Moment Identities #

These lemmas compute the low-order discrete sign moments used later in the cubic statistic cubicT and the quintic correction term quinticP5.

theorem momentX_one_eq_zero (n : ) (lam : Fin nFin n) :
momentX n lam 1 = 0
theorem momentX_two_eq_sNorm (n : ) (lam : Fin nFin n) :
momentX n lam 2 = sNorm n lam
theorem momentX_three_eq_six_cubicT (n : ) (lam : Fin nFin n) :
momentX n lam 3 = 6 * cubicT n lam
theorem avgSigns_abs_innerX_six_eq_momentX_six (n : ) (lam : Fin nFin n) :
(avgSigns n fun (σ : Fin nFin 2) => |innerX n lam σ| ^ 6) = momentX n lam 6

The sixth sign moment coincides with the sixth discrete moment momentX n lam 6.

theorem avgSigns_mul_const_right (n : ) (f : (Fin nFin 2)) (c : ) :
(avgSigns n fun (σ : Fin nFin 2) => f σ * c) = avgSigns n f * c
theorem avgSigns_div_const (n : ) (f : (Fin nFin 2)) (c : ) :
(avgSigns n fun (σ : Fin nFin 2) => f σ / c) = avgSigns n f / c
theorem fourth_cumulant_identity_of_mixed_peel (hmixed : ∀ (n : ) (lam : Fin (n + 1)Fin (n + 1)), (avgSigns n fun (σ : Fin nFin 2) => innerX n (minorLamLast lam) σ ^ 2 * linearX n (lastColLam lam) σ ^ 2) = sNorm n (minorLamLast lam) * i : Fin n, lastColLam lam i ^ 2 + 4 * simpleCycle4LastCross n (minorLamLast lam) (lastColLam lam)) (n : ) (lam : Fin nFin n) :
(momentX n lam 4 - 3 * sNorm n lam ^ 2) / 24 = quarticCorr n lam
theorem quinticP5_pointwise_bound (n : ) :
∃ (C : ), 0 < C ∀ (lam : Fin nFin n), |quinticP5 n lam| C * sNorm n lam ^ (5 / 2)

Crude pointwise quintic control used later in the fixed-n and local-gap estimates.