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LeanPool.HighContrastHomogenization.Support.Sobolev.Foundations.CubeCalderonZygmund.StoppingRadius

Coarse-graining support: Support.Sobolev.Foundations.CubeCalderonZygmund.StoppingRadius #

Imported from the Apache-2.0 CoarseGraining development at commit c7ddd76c08ade64fed1b8d2ca51be14dfee8deb4.

Continuous stopping radii #

This file supplies the continuous-radius ingredient for the Vitali route in the cube Calderón--Zygmund argument. The ambient Vec d carries its sup metric, so its metric closed balls are axis-parallel cubes.

theorem HCPolySupport.CubeCalderonZygmund.exists_last_crossing_of_continuousOn {E : ℝ → ℝ} {a b level : ℝ} (hab : a ≤ b) (hE : ContinuousOn E (Set.Icc a b)) (ha : level < E a) (hb : E b ≤ level) :
∃ r ∈ Set.Icc a b, E r = level ∧ ∀ s ∈ Set.Icc r b, E s ≤ level

A continuous function that starts above a level and ends below it has a last radius at the level; after that radius it stays below the level.

In positive dimension, a sup-metric sphere in Vec d has zero Lebesgue measure. This is the boundary-null fact used by dominated convergence below.

The integral of an integrable function over a sup-metric closed ball is continuous as a function of its positive radius.

noncomputable def HCPolySupport.CubeCalderonZygmund.closedBallAverage {d : ℕ} (x : Vec d) (r : ℝ) (f : Vec d → ℝ) :

The normalized integral over the sup-metric ball. At positive radii this is the usual set average, since the ball has volume (2r)^d.

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Instances For

    Positive-radius normalized closed-ball averages of integrable data are continuous in the radius.

    noncomputable def HCPolySupport.CubeCalderonZygmund.closedBallL2Energy {d : ℕ} {F : Type u_1} [NormedAddCommGroup F] (u : Vec d → F) (x : Vec d) (r : ℝ) :

    The normalized local squared energy over a sup-metric closed ball.

    Equations
    Instances For

      Integrable square data has a continuous normalized local L² energy on positive radii.