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LeanPool.Superdiffusion.Algsuperdiff.Section3.Provider.Diffusivity.ApproximateRecurrence.Closure.GammaTenStripEnvelopeTwoLeg

GammaTenStripEnvelopeTwoLeg #

Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.

One Besov envelope for the two scaled legs of Step 2 #

ABK26, Step 2 of l.approximate.recurrence.formula, e.lower.bound.oscillations, e.Fz.def.

What this module does #

Closure.GammaTenCloserAssembly.ClosureBesovEnvelopeInput --- and its interior restatement Closure.ClosureInteriorSplit.ClosureInteriorBesovEnvelopeInput --- asks for one sample family Bg dominating the Besov towers of both legs of the gauged bfF_z, with gridFourthMomentRoot Bg <= cgamma^{15}. By cubeBesovPositiveVectorPartialSeminormTwo_gauged_localizationFz_potential and ..._flux those two towers are |c_1| and |c_2| times the towers of two raw fields, the Dirichlet corrector gradient and the Neumann flux field, with

  c_1 = sqrt(sigma_0) . sqrt(shom_n)^{-1} ,   c_2 = sqrt(sigma_0)^{-1} . sqrt(shom_n) ,

both bounded by the gauge cap of e.shom.h.bounds. This module produces that single envelope from the two raw per-depth inputs, and closes the arithmetic: each leg is enveloped at the budget cgamma^{15} / (4 C_g) by exists_besovEnvelope_interiorMesoCubeGrid_of_depth_gridRoot_const, the two envelopes are added, and the elementary constant 8^{1/4} <= 2 of LocalizationOscillationGridMoment.gridFourthMomentRoot_le_add_of_le still leaves the sum below cgamma^{15}:

  8^{1/4} ( |c_1| + |c_2| ) cgamma^{15} / (4 C_g)  <=  2 . 2 C_g . cgamma^{15} / (4 C_g)
                                                   =  cgamma^{15} .

The single numerical premise hthr : 200 (4 A C_g)^4 cgamma^4 <= 1 is what the constants cost: A is the per-depth constant of the two raw inputs (1 for the Dirichlet leg, 2 d for the flux leg after Closure.GammaTenDepthFluxOscillation), C_g the gauge cap. Both are dimension-only, so hthr is a threshold on cgamma alone.

What is proved #

Binders #

Those of the one-leg composite --- the scale bookkeeping, the boundary gate and the three cellwise typing binders, now for each of the two fields --- together with 1 <= A, 1 <= C_g, the scalar bounds |c_1|, |c_2| <= C_g, the two per-depth inputs at the common constant A, and the single numerical threshold hthr. Nothing about the corrector, the coefficient field or the sample space occurs.

Scope #

Internal Provider infrastructure for the Step-2 fluctuation estimate. There is no sorry, no admit, no custom axiom and no set_option maxHeartbeats.

References #

The fourth power of an L^4 family is integrable #

theorem Algsuperdiff.Section3.Provider.Diffusivity.ApproximateRecurrence.Closure.integrable_rpow_four_of_memLp_four {Omega : Type u_1} [MeasurableSpace Omega] {mu : MeasureTheory.Measure Omega} {f : Omega → ℝ} (hf : MeasureTheory.MemLp f 4 mu) (hf0 : ∀ (w : Omega), 0 ≤ f w) :
MeasureTheory.Integrable (fun (w : Omega) => f w ^ 4) mu

For a nonnegative family in L^4, the fourth power is integrable, in the rpow spelling the grid functional uses. Unconditional.

The two-leg envelope #

theorem Algsuperdiff.Section3.Provider.Diffusivity.ApproximateRecurrence.Closure.exists_besovEnvelope_two_legs_interiorMesoCubeGrid {d : ℕ} {Omega : Type u_1} [MeasurableSpace Omega] (mu : MeasureTheory.Measure Omega) {K n outer : ℤ} {p g : ℕ} (hK : K = n + ↑p) (houter : outer + 1 = n + ↑g) (hgp : g ≤ p) (hno : n ≤ outer) (hsmall : ↑d * (3 ^ g / 3 ^ p) ≤ 1 / 2) (U V : Omega → HCPolySupport.Vec d → HCPolySupport.Vec d) {gamma A Cg c1 c2 : ℝ} (hgamma0 : 0 < gamma) (hA1 : 1 ≤ A) (hCg1 : 1 ≤ Cg) (hthr : 200 * (4 * A * Cg) ^ 4 * gamma ^ 4 ≤ 1) (hc1 : |c1| ≤ Cg) (hc2 : |c2| ≤ Cg) (hmeasU : ∀ (i : ℕ), ∀ R' ∈ interiorMesoCubeGrid d K (n - ↑i) (outer - 1), Measurable fun (w : Omega) => meshOscillationCell (n - ↑i) (U w) R') (hintU : ∀ (i : ℕ), ∀ R' ∈ interiorMesoCubeGrid d K (n - ↑i) (outer - 1), MeasureTheory.Integrable (fun (w : Omega) => meshOscillationCell (n - ↑i) (U w) R' ^ 4) mu) (hmem2U : ∀ (w : Omega) (i : ℕ), ∀ R' ∈ interiorMesoCubeGrid d K (n - ↑i) (outer - 1), MeasureTheory.MemLp (U w) 2 (HCPolySupport.normalizedCubeMeasure R')) (hmeasV : ∀ (i : ℕ), ∀ R' ∈ interiorMesoCubeGrid d K (n - ↑i) (outer - 1), Measurable fun (w : Omega) => meshOscillationCell (n - ↑i) (V w) R') (hintV : ∀ (i : ℕ), ∀ R' ∈ interiorMesoCubeGrid d K (n - ↑i) (outer - 1), MeasureTheory.Integrable (fun (w : Omega) => meshOscillationCell (n - ↑i) (V w) R' ^ 4) mu) (hmem2V : ∀ (w : Omega) (i : ℕ), ∀ R' ∈ interiorMesoCubeGrid d K (n - ↑i) (outer - 1), MeasureTheory.MemLp (V w) 2 (HCPolySupport.normalizedCubeMeasure R')) (hdepthU : ∀ (i : ℕ), (gridFourthMomentRoot mu (interiorMesoCubeGrid d K (n - ↑i) (outer - 1)) fun (R' : HCPolySupport.TriadicCube d) (w : Omega) => meshOscillationCell (n - ↑i) (U w) R') ≤ A * (gamma ^ 16 * ((1 + ↑i) * 3 ^ (-↑i)))) (hdepthV : ∀ (i : ℕ), (gridFourthMomentRoot mu (interiorMesoCubeGrid d K (n - ↑i) (outer - 1)) fun (R' : HCPolySupport.TriadicCube d) (w : Omega) => meshOscillationCell (n - ↑i) (V w) R') ≤ A * (gamma ^ 16 * ((1 + ↑i) * 3 ^ (-↑i)))) :
∃ (B : HCPolySupport.TriadicCube d → Omega → ℝ), (∀ (R : HCPolySupport.TriadicCube d) (w : Omega), 0 ≤ B R w) ∧ (∀ R ∈ interiorMesoCubeGrid d K n outer, MeasureTheory.MemLp (B R) 4 mu) ∧ gridFourthMomentRoot mu (interiorMesoCubeGrid d K n outer) B ≤ gamma ^ 15 ∧ ∀ R ∈ interiorMesoCubeGrid d K n outer, ∀ᵐ (w : Omega) ∂mu, ∀ (N : ℕ), |c1| * HCPolySupport.cubeBesovPositiveVectorPartialSeminormTwo R gammaTenBesovExponent N (U w) ≤ B R w ∧ |c2| * HCPolySupport.cubeBesovPositiveVectorPartialSeminormTwo R gammaTenBesovExponent N (V w) ≤ B R w

One envelope for the two scaled legs.

From two per-depth grid fourth-moment roots at the same constant A and the single numerical threshold hthr, a nonnegative sample family B, in L^4 at every cell of interiorMesoCubeGrid d K n outer, whose grid fourth-moment root is below cgamma^{15} and which dominates, almost surely and at every depth cutoff, |c_1| times the Besov tower of U and |c_2| times the Besov tower of V.

on the scale bookkeeping, the boundary gate hsmall, the threshold hthr, the two scalar caps, the six cellwise typing binders and the two per-depth inputs.