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LeanPool.Superdiffusion.Algsuperdiff.Section3.Provider.Diffusivity.ApproximateRecurrence.LocalizationGrid

LocalizationGrid #

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

Provider: the meso grid of the localization display, full and interior filtered #

Source displays in ABK26:

This module supplies the two grid renderings of that site set and the exact bookkeeping that relates them.

What is proved #

Divergences from the printed statement #

What is not proved here #

The average over a finite family of cubes #

The unweighted average of a real function over a finite family of cubes. On a family of equal-volume cubes -- which is the only case used below -- this is also the volume-weighted average.

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    The two grids #

    The manuscript's meso site set 3^n Z^d cap cu_K, rendered as the finite family of scale-n triadic descendants of cu_K.

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      The interior-filtered meso grid: those scale-n descendants of cu_K whose enlarged outer window z + cu_{outer+1}, based at the cube's own site z = triadicCubeShift R, is still contained in cu_K. This is the exact carrier of the per-cube estimates.

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        The containment that the per-cube estimates consume. A member of the interior grid has its enlarged outer window inside cu_K; this is the hparent input of the nested Campanato tower.

        The tiling identity #

        The mesh tiling identity at the origin cube. For f integrable on cu_K, fint_{cu_K} f = descendantsAverage (originCube d K) j (fun R => fint_R f).

        This is CoarseGraining's cubeAverage_eq_descendantsAverage_cubeAverage_of_integrableOn specialized to the origin cube; the general identity was already available at an arbitrary triadic cube and an arbitrary depth.

        The tiling identity in the scale-indexed grid form. The manuscript's avsum_{z in 3^n Z^d cap cu_K} fint_{z + cu_n} f is fint_{cu_K} f exactly: the tiling constant is 1.

        The concentric child, and the boundary-layer count #

        The boundary-layer count. The full meso grid exceeds the interior grid by at most the pure model constant 3^d, free of gamma, of m, of h and of K.

        The transfer of a nonnegative average #

        theorem Algsuperdiff.Section3.Provider.Diffusivity.ApproximateRecurrence.cubeFamilyAverage_interior_le_of_full {d : ℕ} {K n outer : ℤ} {F : HCPolySupport.TriadicCube d → ℝ} (hn : n ≤ K - 1) (houter : outer + 1 ≤ K - 1) (hF : ∀ R ∈ mesoCubeGrid d K n, 0 ≤ F R) :

        Transfer of a nonnegative grid average from the full family to the interior family, at the boundary-layer cost 3^d.