OAI/NumberTheory/TwoPoint/ShortIntervals/MRTNearBandSum.lean
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The actual MRT band count absorbs the finite near-mask sum into a uniform logarithmic error while retaining the centered typical amplitude.
- theorem
OAI.TwoPointCorrelations.mrt_band_near_renormalizationline 15Source documentation
Near-center renormalization for the literal family of original bands. The
-3/50exponent leaves room for the finite inclusion-exclusion cost.theorem mrt_band_near_renormalization : ∀ᶠ N : ℕ in atTop, ∀ P Q : ℝ, ∀ J : ℕ, 1≤Real.log Q → 1≤J → (∀ j∈Icc 1 J, mrtBandUpper Q j ≤ Real.exp (Real.sqrt (Real.log N))) → ∀ F : ℕ → ℂ, F 1=1 → Multiplicative F → OneBounded F → ∀ τ : ℝ, squaredDistance F (mrtArchimedeanTwist τ) (2*N) ≤ Real.log (Real.log (2*N:ℕ))/10 → ∀ u : ℝ, |u|≤(Real.log N)^(1/16:ℝ) → ∀ k∈Icc N (2*N), ‖halaszPhaseMean (halaszTwistedFunction (mrtTypicalCoefficient (Icc 1 J) (fun j => mrtPrimeBand (mrtBandLower P Q j) (mrtBandUpper Q j)) F) τ) u k - (halaszPowerPhase u k/(1+(-u:ℂ)*Complex.I))* halaszPhaseMean (halaszTwistedFunction (mrtTypicalCoefficient (Icc 1 J) …Mentions: OAI.TwoPointCorrelations.mrtBandUpper, OAI.TwoPointCorrelations.Multiplicative, OAI.TwoPointCorrelations.OneBounded, OAI.TwoPointCorrelations.mrtArchimedeanTwist, OAI.TwoPointCorrelations.halaszPhaseMean, OAI.TwoPointCorrelations.halaszTwistedFunction, OAI.TwoPointCorrelations.mrtTypicalCoefficient, OAI.TwoPointCorrelations.mrtPrimeBand, OAI.TwoPointCorrelations.mrtBandLower, OAI.TwoPointCorrelations.halaszPowerPhase