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LeanPool.Superdiffusion.Algsuperdiff.Section3.Provider.Multiscale.SharpSimplexMean

SharpSimplexMean #

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

The dimension-dependent Sobolev constant for the simplex probe.

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    The sensitivity constant for the mean simplex probe.

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      Weighted layer bridge for the simplex means #

      noncomputable def Algsuperdiff.Section3.Provider.Multiscale.probeLayerSimplexMeanSq {d : ℕ} (m : ℤ) (hn : ℕ → ℕ) (n : ℕ) (n1 n2 : ℤ) (omega : Cutoff.CutoffSample d) :

      The weighted sum of squared simplex increment norms over a Whitney layer.

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        Refined collar carrier with the same simplex mean #

        The actual weighted good-cell layer #

        The dimension-dependent constant for the good-layer base mean contribution.

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          The model-dependent constant for the good-layer wave mean contribution.

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            theorem Algsuperdiff.Section3.Provider.Multiscale.probe_sum_collarLayer_meanSq_le_sqrt_mass_mul_sqrt_fourth {d : ℕ} (M : ABKModel d) (m : ℤ) (hn : ℕ → ℕ) (n : ℕ) (hstep : hn n ≤ hn (n + 1) + 1) (n1 n2 : ℤ) (omega : Cutoff.CutoffSample d) :
            ∑ Q ∈ collarLayer M m hn n omega, ∑ T ∈ Whitney.whitneySimplexCells m hn n Q, cellWeight m T * HCPolySupport.Book.Ch02.matrixOperatorNorm (simplexIncrementValue n1 n2 (↑omega) T) ^ 2 ≤ √(∑ Q ∈ collarLayer M m hn n omega, Whitney.cubeMassRatio (HCPolySupport.originCube d m) Q) * √(layerSimplexFourthMass m hn n n1 n2 omega)