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Signed diagonal covariance comparison with the squarefree reference

Proved
Erdos390.Full.SquarefreeCovarianceReference.abs_sigmaMixture_covII_diagonal_sub_reference_le

by doctosil · Sep 17, 2026 · Mathlib c5ea003 (Lean v4.30.0)

analytic-number-theoryerdos-390erdos390-source-construction

For a finite mixture μ\muμ of bounded valuation laws, let n>1n>1n>1 and ppp be a moving-band prime. Assume every component has ∣P(p∣m)−Mn(p)∣≤2E/p|\mathbb P(p\mid m)-M_n(p)|\le2E/p∣P(p∣m)−Mn​(p)∣≤2E/p with E≥0E\ge0E≥0, where MnM_nMn​ is the paper divisibility main term. Suppose ∣K(tp,tp)∣≤CK|K(t_p,t_p)|\le C_K∣K(tp​,tp​)∣≤CK​ for the Dickman covariance kernel. With a=1/ρ(U)a=1/\rho(U)a=1/ρ(U) and reference diagonal Rpp=F(tp)/p+K(tp,tp)/p2R_{pp}=F(t_p)/p+K(t_p,t_p)/p^2Rpp​=F(tp​)/p+K(tp​,tp​)/p2, one has

∣Var⁡μ(1p∣m)−Rpp∣≤2Ep+(a+2E)2+CKp2.|\operatorname{Var}_\mu(1_{p\mid m})-R_{pp}|\le\frac{2E}{p}+\frac{(a+2E)^2+C_K}{p^2}.∣Varμ​(1p∣m​)−Rpp​∣≤p2E​+p2(a+2E)2+CK​​.

The two scales separate the one-divisor profile error from the Bernoulli square and inserted kernel diagonal. The moving prime band is {p prime:W<p≤⌊n2/9⌋}\{p\text{ prime}:W<p\le\lfloor n^{2/9}\rfloor\}{p prime:W<p≤⌊n2/9⌋}.

Preamble
import Mathlib
import Definitions.Def_erdos390_source_bank_interface
import Definitions.Def_erdos390_dickman_step_function
import Theorems.Thm_MediumPNT
import Definitions.Def_erdos390_analytic_foundations_001
import Theorems.Thm_Erdos390_Full_DickmanBasic_kernel_product_bound
import Theorems.Thm_Erdos390_Full_DickmanBasic_rho_pos_on_zero_five
import Theorems.Thm_Erdos390_Full_DickmanBasic_kernel_secondDerivative_first_bound
import Definitions.Def_erdos390_analytic_foundations_003
import Definitions.Def_erdos390_analytic_foundations_004
import Definitions.Def_erdos390_analytic_foundations_005

universe u_1 u_2
Formal statement
theorem Erdos390.Full.SquarefreeCovarianceReference.abs_sigmaMixture_covII_diagonal_sub_reference_le :
∀ {Cell : Type u_1} [inst : Fintype.{u_1} Cell] {Omega : Cell → Type u_2}
  [inst_1 : (c : Cell) → Fintype.{u_2} (Omega c)] {M : Nat} {E CKernel : Real},
  LE.le.{0} (0 : Real) E →
    ∀ (weight : Erdos390.Full.FiniteProbability.{u_1} Cell)
      (law : (c : Cell) → Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.{u_2} (Omega c) M) {n W p : Nat},
      LT.lt.{0} (1 : Nat) n →
        Membership.mem.{0, 0} (Erdos390.Full.ArithmeticModel.primeBand n W) p →
          (∀ (c : Cell),
              LE.le.{0}
                (abs.{0}
                  (HSub.hSub.{0, 0, 0}
                    (Erdos390.Full.FiniteProbability.expect.{u_2}
                      (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.probability.{u_2} (law c)) fun omega =>
                      Erdos390.Full.ArithmeticModel.divInd p
                        (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.value.{u_2} (law c) omega))
                    (Erdos390.Full.PaperScaleMarkedCell.paperDivisibilityMain n p)))
                (HMul.hMul.{0, 0, 0} E (Erdos390.Full.PaperPrimePowerChamberError.singleWeight p (1 : Nat)))) →
            LE.le.{0}
                (abs.{0}
                  (Erdos390.Full.ConditionedPoissonLimit.covarianceKernel (Erdos390.Full.ArithmeticModel.tPrime n p)
                    (Erdos390.Full.ArithmeticModel.tPrime n p)))
                CKernel →
              have mix := Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.sigmaMixture.{u_1, u_2} weight law;
              LE.le.{0}
                (abs.{0}
                  (HSub.hSub.{0, 0, 0}
                    (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.covII.{max u_1 u_2} mix p p)
                    (Erdos390.Full.SquarefreeCovarianceReference.squarefreeReferenceEntry n p p)))
                (HAdd.hAdd.{0, 0, 0} (HDiv.hDiv.{0, 0, 0} (HMul.hMul.{0, 0, 0} (2 : Real) E) ↑p)
                  (HDiv.hDiv.{0, 0, 0}
                    (HAdd.hAdd.{0, 0, 0}
                      (HPow.hPow.{0, 0, 0}
                        (HAdd.hAdd.{0, 0, 0}
                          (HDiv.hDiv.{0, 0, 0} (1 : Real) (Erdos390.Full.DickmanBasic.rho Erdos390.Full.DickmanBasic.U))
                          (HMul.hMul.{0, 0, 0} (2 : Real) E))
                        (2 : Nat))
                      CKernel)
                    (HPow.hPow.{0, 0, 0} ↑p (2 : Nat)))) := by sorry
Source
https://github.com/ShouqiaoW/erdos/blob/61325b10bbdc29f4fb5e0618b414b9f2189333ad/390/lean/Erdos390/Full/SquarefreeCovarianceReference.lean#L208-L353

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