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LeanPool.Superdiffusion.Algsuperdiff.Section4.Provider.ExcessDecay.RecutAtoms

RecutAtoms #

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

The window move: the three atoms of the re-cut #

In the frozen statement's general clause five window carriers — the mean-subtracted L² leg's average window and its measure carrier, both Gagliardo carriers, and the ∇h L² carrier — are read on the enlarged window:

  W  = (z + □_{n+2}) ∩ □_m   is enlarged to   W' = (z + □_{n+3}) ∩ □_m;

the in-bracket 3^n |(∇h)_W| companion deliberately keeps W.

Since W ⊆ W', every one of those legs grows the window and therefore has to be paid for at the volume ratio. This module proves the three atoms:

The volume ratio actually used #

The ratio can be priced at 6^d (from z ∈ □_m and n+2 ≤ m alone). The cheaper route taken here uses the anchor's own geometry binder: the child cube x + □_n sits inside W, so

  |W'| ≤ |z + □_{n+3}| = 27^d |□_n| ≤ 81^d |x + □_n| ≤ 81^d |W| ,

whose square root 9^d is a perfect power and keeps the arithmetic trivial. The frozen statement quantifies C existentially, so the constant is immaterial; the sharper 6^d is available and unused.

References #

1. The measure comparison on nested windows #

If B ⊆ A and |A| ≤ K |B| then the normalized measure of B is dominated by K times that of A.

The L² carrier move. If B ⊆ A and |A| ≤ K |B| then the normalized L² norm over B costs K^{1/2} against the one over A.

2. The normalized window as a probability space #

The Bochner integral against the normalized window measure is CoarseGraining's volumeAverage.

3. The mean move #

The mean move. On a normalized window, subtracting the window mean costs at most a factor 2 against subtracting any other constant.

This is the triangle form of mean optimality: the sharp statement has the factor 1, but the frozen theorem's constant is existentially quantified, so the cheap form suffices.

The two moves composed. On nested windows of comparable volume, the mean-subtracted normalized L² norm over the smaller window is controlled by the one over the larger, at 2 K^{1/2}.

4. The atoms at the anchor's own windows #

The window move's constant: 9^d, the square root of the volume ratio 81^d.

Equations
Instances For
    theorem Algsuperdiff.Section4.Provider.ExcessDecay.eLpNorm_sub_volumeAverage_anchorWindow_le {d : ℕ} {n m : ℤ} {x z : HCPolySupport.Vec d} (hgeom : (fun (y : HCPolySupport.Vec d) => x + y) '' HCPolySupport.openCubeSet (HCPolySupport.originCube d n) ⊆ (fun (y : HCPolySupport.Vec d) => z + y) '' HCPolySupport.openCubeSet (HCPolySupport.originCube d (n + 1)) ∩ HCPolySupport.openCubeSet (HCPolySupport.originCube d m)) {f : HCPolySupport.Vec d → ℝ} (hf : MeasureTheory.AEStronglyMeasurable f (Support.normalizedVolumeMeasureOn ((fun (y' : HCPolySupport.Vec d) => z + y') '' HCPolySupport.openCubeSet (HCPolySupport.originCube d (n + 2)) ∩ HCPolySupport.openCubeSet (HCPolySupport.originCube d m)))) :

    The L² window move. The mean-subtracted normalized L² norm on W is at most 2 · 9^d times the one on W'.