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.

  1. theorem OAI.TwoPointCorrelations.mrt_band_near_renormalization line 15

    Source documentation

    Near-center renormalization for the literal family of original bands. The -3/50 exponent 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