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LeanPool.Superdiffusion.Algsuperdiff.Section4.Provider.Schauder.CubeSchauderAeLimit

CubeSchauderAeLimit #

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

Cube Schauder: the Lebesgue-point limit of the a.e. identification #

CubeSchauderAeSlopeDefect.abs_slope_sub_le_cutoff_split is the deterministic inequality behind the almost-everywhere identification Ψ = ∇w. This module takes the limit and delivers the identification itself.

Fix a base point x ∈ □_m and a scale j small enough that the Euclidean ball of radius 3^j/2 around x sits inside □_m — the open cube is open, so every j below a threshold j₀(x) qualifies. Feeding the canonical minimizer of the window W_j = (x+□_j) ∩ □_m into the slope-defect inequality and dividing by the cutoff mass gives the one-scale defect bound

  |∇ℓ(u,W_j)_i − ∂_i u(x)|
      ≤ (8(d+1))^d · ( C_ibp(d)·K·√(3^j)
                       + ⨍_{B(x,3^j/2)} |∂_i u − ∂_i u(x)| ) ,

where the average is taken over the sup-metric ball, i.e. over the cube of side 3^j centred at x, and ∂_i u is read through its zero extension off □_m. Both scale factors cancel exactly: |W_j| ≤ (3^j)^d and the cutoff mass is at least (3^j)^d/(8(d+1))^d.

Letting j = (m+1) − n run to −∞ kills the first term geometrically and the second term at every Lebesgue point of the zero extension. Since CubeSchauderPointwise.tendsto_windowSlope sends ∇ℓ(u,W_j) → Ψ(x), the two limits identify Ψ(x) with ∇u(x) at almost every x, coordinate by coordinate.

The Lebesgue points come from the Besicovitch Vitali family of the Lebesgue measure on Vec d = Fin d → ℝ, whose closed balls are the sup-metric cubes; the volume identity |B(x,r)| = (2r)^d is the product-measure formula. No doubling constant and no covering constant enter the statement: the sup-metric ball is the window's own enclosing cube.

Main results #

References #

1. The sup-metric ball #

The Euclidean ball sits inside the sup-metric ball of the same radius.

The interior threshold. Around a point of the open cube every sufficiently small Euclidean ball stays inside the cube.

The truncated window sits inside the sup-metric closed ball of radius 3^j/2, i.e. inside the closed cube of side 3^j about the base point.

The sup-metric closed ball has finite volume.

The sup-metric ball's set integral in average form. ∫_{B(x,r)} f = (2r)^d · ⨍_{B(x,r)} f.

2. The zero extension of the weak gradient #

The zero extension of the i-th coordinate of the weak gradient off □_m. Extending is what makes the Lebesgue differentiation theorem — a statement about globally integrable functions — available at every interior base point.

Equations
Instances For

    The Lebesgue points of the extended gradient. At almost every point of Vec d the sup-metric averages of |∂_i u − ∂_i u(x)| vanish, simultaneously in every coordinate. This is the Besicovitch Vitali family of the Lebesgue measure on Fin d → ℝ, whose closed balls are the sup-metric cubes.

    3. The one-scale defect bound #

    The d-constant of the one-scale defect bound: the reciprocal of the cutoff mass floor, normalized by the window volume.

    Equations
    Instances For
      theorem Algsuperdiff.Section4.Provider.Schauder.rpow_inv_le_zpow {d : ℕ} (hd : d ≠ 0) {j : ℤ} {V : ℝ} (hV : 0 ≤ V) (hle : V ≤ (3 ^ j) ^ d) :
      V ^ (↑d)⁻¹ ≤ 3 ^ j

      The 1/d-th power of a window volume bounded by (3^j)^d is at most 3^j.

      The one-scale defect bound.

      At an interior scale — one whose Euclidean ball of radius 3^j/2 still fits inside □_m — the coordinate defect between the window slope and the pointwise gradient value is controlled by the Campanato datum plus one sup-metric oscillation average. The window's own volume factor cancels against the cutoff mass floor, leaving the pure d-constant aeLimitConst d.

      4. The limit #

      The triadic scale sequence 3^{T−n} tends to 0.

      The triadic radius sequence tends to 0 from the right.

      The a.e. identification Ψ = ∇u.

      Off the Campanato datum on all of □_m — the residue hE of CubeSchauderAssembly — the limit slope field of the Campanato iteration agrees with the weak gradient of u almost everywhere on the cube. This is the second named residue hae of zeroDatumCubeSchauder_of_residues, discharged.