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LeanPool.Superdiffusion.Algsuperdiff.StochasticProcess.Common.Regularity.Campanato.CubeWindow

CubeWindow #

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

Windows clipped to a cube, and their volume #

A regularity iteration run on a cube states its oscillation estimate on the windows clipped to that cube: the window at a centre x and scale r is (x + □) ∩ □_m, not x + □. Away from the boundary the two agree, but the whole interest of a boundary-to-boundary Hölder estimate is at centres for which they do not.

In the ambient space Vec d = Fin d → ℝ the metric is the supremum norm, so a clipped window is the intersection of two boxes and is again a box. Its volume is therefore easy to bracket, and the bracket is all the Campanato theory needs:

The lower bound is the only substantive point. Pushing the centre toward the face of the cube shrinks one side of the window, but never below r: the side lost on one face is gained on the other. The explicit inner ball is centred at the projection of x onto the concentric cube of half-side Rm - r / 2.

The consequence is that all the volume ratios of the theory are bounded by (2 R / r) ^ d instead of (R / r) ^ d: clipping costs a factor 2 ^ d in the volume, i.e. 2 ^ (d/2) in the normalized L² price, once and for all.

Main definitions #

Main results #

1. The clipped window #

The window at x and scale r, clipped to the cube B(c, Rm). In the supremum metric of Vec d this is the intersection of the open cube of side 2 r centred at x with the open cube of side 2 Rm centred at c.

Equations
Instances For

    A clipped window at a nearby centre and a larger scale contains the given one.

    The clipping is inactive when the unclipped window already sits in the cube.

    2. The inner ball #

    theorem Algsuperdiff.StochasticProcess.Common.Regularity.Campanato.exists_ball_subset_clipBall {d : ℕ} {c : HCPolySupport.Vec d} {Rm r : ℝ} {x : HCPolySupport.Vec d} (hr : 0 < r) (hrRm : r ≤ Rm) (hx : x ∈ Metric.ball c Rm) :
    ∃ (p : HCPolySupport.Vec d), Metric.ball p (r / 2) ⊆ clipBall c Rm x r

    A clipped window of an interior centre contains a ball of half the radius. The centre of that ball is the projection of x onto the cube concentric with the ambient one of half-side Rm - r / 2: moving x toward the centre by less than r / 2 buys the room the clipping took away.

    3. The volume bracket #

    The volume lower bound. Clipping a window at an interior centre costs at most the factor 2 ^ d.

    theorem Algsuperdiff.StochasticProcess.Common.Regularity.Campanato.sqrt_volume_clipBall_ratio_le {d : ℕ} {c : HCPolySupport.Vec d} {Rm r R kappa : ℝ} {x z : HCPolySupport.Vec d} (hr : 0 < r) (hrRm : r ≤ Rm) (hx : x ∈ Metric.ball c Rm) (hR : 0 < R) (hle : 2 * R ≤ kappa * r) :

    The normalized-L² price of two clipped windows. The numerator is at most (2 R) ^ d and the denominator at least r ^ d, so the price is ballVolumePrice κ d for any κ with 2 R ≤ κ r.

    4. The two comparisons on nested clipped windows #

    theorem Algsuperdiff.StochasticProcess.Common.Regularity.Campanato.oscillation_clipBall_le_of_subset {d : ℕ} {c : HCPolySupport.Vec d} {Rm r R kappa : ℝ} {x z : HCPolySupport.Vec d} {f : HCPolySupport.Vec d → ℝ} (hr : 0 < r) (hrRm : r ≤ Rm) (hx : x ∈ Metric.ball c Rm) (hR : 0 < R) (hRRm : R ≤ Rm) (hz : z ∈ Metric.ball c Rm) (hsub : clipBall c Rm x r ⊆ clipBall c Rm z R) (hle : 2 * R ≤ kappa * r) (hf : MeasureTheory.MemLp f 2 (MeasureTheory.volume.restrict (Metric.ball c Rm))) :

    The mean-oscillation comparison between nested clipped windows.

    theorem Algsuperdiff.StochasticProcess.Common.Regularity.Campanato.abs_volumeAverage_clipBall_sub_le {d : ℕ} {c : HCPolySupport.Vec d} {Rm r R kappa : ℝ} {x z : HCPolySupport.Vec d} {f : HCPolySupport.Vec d → ℝ} (hr : 0 < r) (hrRm : r ≤ Rm) (hx : x ∈ Metric.ball c Rm) (hR : 0 < R) (hRRm : R ≤ Rm) (hz : z ∈ Metric.ball c Rm) (hsub : clipBall c Rm x r ⊆ clipBall c Rm z R) (hle : 2 * R ≤ kappa * r) (hf : MeasureTheory.MemLp f 2 (MeasureTheory.volume.restrict (Metric.ball c Rm))) :

    The mean comparison between nested clipped windows.

    5. The clipping is eventually inactive at an interior centre #

    At a centre of the open cube the triadic windows are eventually untruncated: the clipped and unclipped telescopes have the same tail, hence the same limit.