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LeanPool.Superdiffusion.Algsuperdiff.Frozen.Section4.S5RegularityMomentBoundV2

S5RegularityMomentBoundV2 #

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

Moments of the localized regularity — [ABK] Section 5.1 (e.reg.rv.Sfive.moment.bound) #

Source: references/algsuperdiff.tex:12861-12866.

For a disorder model of strength gamma small enough there are constants c and C such that, at every scale n and every centre y, the localized regularity localizedRegularity M n y of the cube y + □_n satisfies

𝔼[X^p]^{1/p} ≤ C at the single exponent p = c gamma⁻¹ |log gamma|⁻⁶.

The localized regularity is the normalized 1/2-Hölder seminorm of the continuous representative of the rough-field Dirichlet solution on the cube, taken as a supremum over the normalized forcing class.

Where the exponent comes from #

Almost surely the localized regularity is at most C 3^{X/2} (1 + localizedError) for the minimal scale X of the local Hölder estimate, so a moment of the localized regularity at exponent p costs a moment of the localized error at an exponent at least p. Those moments are the content of Algsuperdiff.Frozen.Section4.s5_error_moment_bound, which holds in the range p ≤ C⁻¹ gamma⁻¹ |log gamma|⁻¹ and whose amplitude at the top of that range grows like |log gamma|^{5/2} rather than staying bounded. Each of the two costs a power of |log gamma|, which is how the exponent above sits below gamma⁻¹ by the sixth power of |log gamma|. Sections 5.1 and 5.2 read this bound only through a single-site estimate at the exponent class c ep² gamma⁻¹ |log gamma|⁻⁶, which is exactly the class carried here.

Reading of the statement #

Conventions #

The conventions this bound inherits are those of the two estimates its proof consumes: the local Hölder estimate, which is taken at zero boundary datum with the seminorm on the full cube, and the moment bound for the localized error, whose amplitude carries the factor √p + √|log gamma|.

Proved; reduces to the standard axioms.

theorem Algsuperdiff.Frozen.Section4.s5_regularity_moment_bound_v2 (d : ℕ) (cstar : ℝ) (hcstar : 0 < cstar) :
∃ (gamma0 : ℝ) (c : ℝ) (C : ℝ), 0 < gamma0 ∧ 0 < c ∧ 0 < C ∧ ∀ (M : Section3.ABKModel d), Section3.Disorder.cstar M = cstar → M.gamma ≤ gamma0 → ∀ (n : ℤ) (y : HCPolySupport.Vec d), ∫⁻ (omega : Section3.Cutoff.CutoffSample d), Section5.Support.localizedRegularity M n y omega ^ (c * M.gamma⁻¹ * |Real.log M.gamma| ^ (-6)) ∂↑(Section3.Cutoff.cutoffSampleLaw M) ≤ ENNReal.ofReal C ^ (c * M.gamma⁻¹ * |Real.log M.gamma| ^ (-6))