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LeanPool.Superdiffusion.Algsuperdiff.Section3.Provider.Corrector.BoundaryStrip

BoundaryStrip #

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

Provider: the boundary-strip volume fraction #

The proof of l.approximation.stationary.by.local in ABK26 fixes a cutoff η_{K,L} that equals 1 at distance at least 3^{K-L} from ∂cu_K, sets

Σ_{K,L} := {x ∈ cu_K : η_{K,L}(x) ≠ 1},

and records the volume fraction e.boundary.strip.volume

|Σ_{K,L}| ≤^{-L} |cu_K|.

With the concentric-subcube cutoffs of CoarseGraining (Homogenization.QuantitativeCubeCutoff, which is 1 on scaledClosedCubeSet Q ρ and supported in scaledOpenCubeSet Q 1) the set Σ is contained in cu_K \ scaledClosedCubeSet cu_K ρ with ρ = 1 - 3^{-L}, whose volume fraction is exactly 1 - ρ^d. So the displayed estimate reduces to the elementary Bernoulli bound 1 - ρ^d ≤ d (1 - ρ), with C = d.

This file proves that scalar reduction, which is the only part of e.boundary.strip.volume that is independent of the cube-measure A.

theorem Algsuperdiff.Section3.Provider.Corrector.one_sub_pow_le_mul_one_sub (n : ℕ) {ρ : ℝ} (h0 : 0 ≤ ρ) :
1 - ρ ^ n ≤ ↑n * (1 - ρ)

Bernoulli's inequality in the form used for the boundary strip: for nonnegative ρ the missing volume fraction of a concentric subcube of ratio ρ in dimension n is at most n (1 - ρ).