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LeanPool.Superdiffusion.Algsuperdiff.Section4.Provider.RegularityMoment.PointwiseBound

PointwiseBound #

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

The localized regularity at the Hölder exponent one half #

The local Hölder estimate is read at the exponent alpha = 1/2, on the cube it is stated on, at the truncation scale equal to the scale of the cube. Three normalizations then meet:

The result is the almost sure pointwise bound

localizedRegularity ≤ C 3^{X/2} (1 + localizedError),

uniform over the forcing class and over the solutions, with X the minimal scale of the local Hölder estimate at alpha = 1/2 and its exponential tail.

Main results #

theorem Algsuperdiff.Section4.Provider.RegularityMoment.exists_localizedRegularity_pointwise_bound (d : ℕ) (cstar : ℝ) (hdim : 2 ≤ d) (hcstar : 0 < cstar) :
∃ (gamma0 : ℝ) (Ctail : ℝ) (Camp : ℝ), 0 < gamma0 ∧ 0 < Ctail ∧ 0 < Camp ∧ ∀ (M : Section3.ABKModel d), Section3.Disorder.cstar M = cstar → M.gamma ≤ gamma0 → ∀ (n : ℤ) (y : HCPolySupport.Vec d), ∃ (X : Section3.Cutoff.CutoffSample d → ℕ), Measurable X ∧ (∀ (N : ℕ), ↑(Section3.Cutoff.cutoffSampleLaw M) {omega : Section3.Cutoff.CutoffSample d | N ≤ X omega} ≤ ENNReal.ofReal (Ctail * Real.exp (-((1 - 1 / 2) ^ 2 * (↑N - Ctail)) / (Ctail * M.gamma)))) ∧ ∀ᵐ (omega : Section3.Cutoff.CutoffSample d) ∂↑(Section3.Cutoff.cutoffSampleLaw M), Section5.Support.localizedRegularity M n y omega ≤ ENNReal.ofReal (Camp * Real.rpow 3 (1 / 2 * ↑(X omega))) * (1 + Section5.Support.localizedError M n y omega)

The localized regularity is bounded by the minimal-scale factor and the localized error. At the Hölder exponent 1/2 the local Hölder estimate, the normalization of the forcing class and the mean-oscillation seed give, almost surely and simultaneously for every datum of the normalized class and every solution of the rough-field Dirichlet problem on the cube,

localizedRegularity M n y ω ≤ C 3^{X ω / 2} (1 + localizedError M n y ω),

where X is the minimal scale of the local Hölder estimate at alpha = 1/2, with its measurability and its exponential tail. The centre y is arbitrary, as it is in both inputs.