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Distinct-prime higher-tail covariance perturbation

Proved
Erdos390.Full.PaperBridgeFit.BridgeData.abs_covJJ_sub_le_of_divisor_covariance_difference_of_ne

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

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

Let μ,ν\mu,\nuμ,ν be bounded-valuation laws with the same physical bound, and let p≠qp\ne qp=q be primes. Suppose e,G≥0e,G\ge0e,G≥0 and every positive divisor pair satisfies

∣Cov⁡ν(1D∣m,1E∣m)−Cov⁡μ(1D∣m,1E∣m)∣≤e(Glcm⁡(D,E)+3G2DE).|\operatorname{Cov}_\nu(\mathbf1_{D\mid m},\mathbf1_{E\mid m})-\operatorname{Cov}_\mu(\mathbf1_{D\mid m},\mathbf1_{E\mid m})|\le e\left(\frac G{\operatorname{lcm}(D,E)}+\frac{3G^2}{DE}\right).∣Covν​(1D∣m​,1E∣m​)−Covμ​(1D∣m​,1E∣m​)∣≤e(lcm(D,E)G​+DE3G2​).

Writing Jp=vp−1p∣mJ_p=v_p-\mathbf1_{p\mid m}Jp​=vp​−1p∣m​,

∣Cov⁡ν(Jp,Jq)−Cov⁡μ(Jp,Jq)∣≤e(4G+12G2)p2q2.|\operatorname{Cov}_\nu(J_p,J_q)-\operatorname{Cov}_\mu(J_p,J_q)|\le\frac{e(4G+12G^2)}{p^2q^2}.∣Covν​(Jp​,Jq​)−Covμ​(Jp​,Jq​)∣≤p2q2e(4G+12G2)​.

This provides the double-high component of the physical residual-tilt comparison.

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_002

universe u_3 u_4
Formal statement
theorem Erdos390.Full.PaperBridgeFit.BridgeData.abs_covJJ_sub_le_of_divisor_covariance_difference_of_ne :
∀ {Omega : Type u_3} {Theta : Type u_4} [inst : Fintype.{u_3} Omega] [inst_1 : Fintype.{u_4} Theta] {M p q : Nat}
  (nu : Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.{u_3} Omega M)
  (mu : Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.{u_4} Theta M),
  Nat.Prime p →
    Nat.Prime q →
      Ne.{1} p q →
        ∀ {e G : Real},
          LE.le.{0} (0 : Real) e →
            LE.le.{0} (0 : Real) G →
              (∀ (D E : Nat),
                  LT.lt.{0} (0 : Nat) D →
                    LT.lt.{0} (0 : Nat) E →
                      LE.le.{0}
                        (abs.{0}
                          (HSub.hSub.{0, 0, 0}
                            (Erdos390.Full.FiniteProbability.covariance.{u_3}
                              (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.probability.{u_3} nu)
                              (fun x =>
                                Erdos390.Full.ArithmeticModel.divInd D
                                  (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.value.{u_3} nu x))
                              fun x =>
                              Erdos390.Full.ArithmeticModel.divInd E
                                (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.value.{u_3} nu x))
                            (Erdos390.Full.FiniteProbability.covariance.{u_4}
                              (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.probability.{u_4} mu)
                              (fun x =>
                                Erdos390.Full.ArithmeticModel.divInd D
                                  (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.value.{u_4} mu x))
                              fun x =>
                              Erdos390.Full.ArithmeticModel.divInd E
                                (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.value.{u_4} mu x))))
                        (HMul.hMul.{0, 0, 0} e
                          (HAdd.hAdd.{0, 0, 0} (HMul.hMul.{0, 0, 0} G (HDiv.hDiv.{0, 0, 0} (1 : Real) ↑(Nat.lcm D E)))
                            (HMul.hMul.{0, 0, 0}
                              (HMul.hMul.{0, 0, 0} (3 : Real)
                                (HMul.hMul.{0, 0, 0} G (HDiv.hDiv.{0, 0, 0} (1 : Real) ↑D)))
                              (HMul.hMul.{0, 0, 0} G (HDiv.hDiv.{0, 0, 0} (1 : Real) ↑E)))))) →
                LE.le.{0}
                  (abs.{0}
                    (HSub.hSub.{0, 0, 0} (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.covJJ.{u_3} nu p q)
                      (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.covJJ.{u_4} mu p q)))
                  (HMul.hMul.{0, 0, 0}
                    (HMul.hMul.{0, 0, 0}
                      (HMul.hMul.{0, 0, 0} e
                        (HAdd.hAdd.{0, 0, 0} (HMul.hMul.{0, 0, 0} (4 : Real) G)
                          (HMul.hMul.{0, 0, 0} (12 : Real) (HPow.hPow.{0, 0, 0} G (2 : Nat)))))
                      (HPow.hPow.{0, 0, 0} (HDiv.hDiv.{0, 0, 0} (1 : Real) ↑p) (2 : Nat)))
                    (HPow.hPow.{0, 0, 0} (HDiv.hDiv.{0, 0, 0} (1 : Real) ↑q) (2 : Nat))) := by sorry
Source
https://github.com/ShouqiaoW/erdos/blob/61325b10bbdc29f4fb5e0618b414b9f2189333ad/390/lean/Erdos390/Full/PaperBridgePhysicalPowerCorrectionRow.lean#L702-L815

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