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LeanPool.Superdiffusion.Algsuperdiff.Section3.Provider.Multiscale.SharpFramedMeanLayers

SharpFramedMeanLayers #

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

Framed potential-only Whitney-layer bounds #

The observation-to-cube scale frame from the normalized potential response is constant across a fixed Whitney layer. This file keeps that frame outside the fourth-mass square root when the cellwise estimates are aggregated.

These are internal conditional proof obligations.

noncomputable def Algsuperdiff.Section3.Provider.Multiscale.probeMeanLayerFrame {d : ℕ} (M : ABKModel d) (m : ℤ) (hn : ℕ → ℕ) (n : ℕ) (i : ℤ) :

The observation-to-cube frame on the nth Whitney layer.

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    noncomputable def Algsuperdiff.Section3.Provider.Multiscale.probeFramedLayerWaveFactor {d : ℕ} (M : ABKModel d) (m : ℤ) (hn : ℕ → ℕ) (n : ℕ) (i L : ℤ) (omega : Cutoff.CutoffSample d) :

    The simplex fourth-mass wave factor with the layer frame retained outside the square root.

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      noncomputable def Algsuperdiff.Section3.Provider.Multiscale.probeFramedGoodLayerMeanRhs {d : ℕ} (M : ABKModel d) (m : ℤ) (hn : ℕ → ℕ) (n : ℕ) (i L : ℤ) (omega : Cutoff.CutoffSample d) (p : HCPolySupport.Vec d) :

      The good Whitney-layer mean budget combining its mass and wave contributions.

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        noncomputable def Algsuperdiff.Section3.Provider.Multiscale.probeFramedCollarLayerMeanRhs {d : ℕ} (M : ABKModel d) (m : ℤ) (hn : ℕ → ℕ) (n : ℕ) (i L : ℤ) (omega : Cutoff.CutoffSample d) (p : HCPolySupport.Vec d) (Cgrad b : ℝ) :

        The collar-layer mean budget including the amplified gradient factor.

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          Potential specialization of the framed cell majorant after the geometric descendant weight is bounded by three.

          theorem Algsuperdiff.Section3.Provider.Multiscale.probe_sum_ofReal_goodCellForm_layer_le_framedMeanFourth_ae {d : ℕ} (hd : 2 ≤ d) (M : ABKModel d) {m0 : ℤ} {E : { E : ℝ // 1 ≤ E }} (hS : Frozen.Section3.inductionState M m0 E) (m : ℤ) (hn : ℕ → ℕ) (n : ℕ) (hstep : hn n ≤ hn (n + 1) + 1) (hgap : hn (n + 1) ≤ hn n + 1) {i : ℤ} (hmi : m - 1 ≤ i) (hi : i ≤ m0) {L : ℤ} (hmL : m ≤ L) (p : HCPolySupport.Vec d) :

          Internal conditional aggregation of the framed potential majorant over a good Whitney layer.

          theorem Algsuperdiff.Section3.Provider.Multiscale.probe_sum_ofReal_collarCellForm_layer_le_framedMeanFourth_ae {d : ℕ} (hd : 2 ≤ d) (M : ABKModel d) {m0 : ℤ} {E : { E : ℝ // 1 ≤ E }} (hS : Frozen.Section3.inductionState M m0 E) (m : ℤ) (hn : ℕ → ℕ) (n : ℕ) (hstep : hn n ≤ hn (n + 1) + 1) (hgap : hn (n + 1) ≤ hn n + 1) {i : ℤ} (hmi : m - 1 ≤ i) (hi : i ≤ m0) {L : ℤ} (hmL : m ≤ L) {b Cgrad : ℝ} (hCgrad : 1 ≤ Cgrad) (hb : 0 ≤ b) :
          ∀ᵐ (omega : Cutoff.CutoffSample d) ∂↑(Cutoff.cutoffSampleLaw M), ∀ (Fv Gv : Whitney.KuhnCell d → HCPolySupport.Vec d) (p : HCPolySupport.Vec d), (∀ Q ∈ Whitney.whitneyLayer m hn n, ∀ T ∈ Whitney.whitneySimplexCells m hn n Q, HCPolySupport.vecNormSq (Fv T - p) ≤ Cgrad ^ 2 * 3 ^ (2 * (b * (↑n + ↑(hn n)))) * HCPolySupport.vecNormSq p) → (∀ Q ∈ Whitney.whitneyLayer m hn n, ∀ T ∈ Whitney.whitneySimplexCells m hn n Q, HCPolySupport.vecNormSq (Gv T) ≤ 0) → ∑ Q ∈ collarLayer M m hn n omega, ∑ T ∈ Whitney.whitneySimplexCells m hn n Q, ENNReal.ofReal (cellWeight m T * collarCellForm M m hn L omega (fun (U : Whitney.KuhnCell d) => (√↑(Annealed.sigmaBar M i))⁻¹ • Fv U) (fun (U : Whitney.KuhnCell d) => √↑(Annealed.sigmaBar M i) • Gv U) T) ≤ ENNReal.ofReal (probeFramedCollarLayerMeanRhs M m hn n i L omega p Cgrad b)

          Internal conditional aggregation of the framed potential majorant over a collar Whitney layer.