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Divisor perturbations control a common-mixture power row

Proved
Erdos390.Full.PaperBridgeFit.BridgeData.sum_abs_sameWeight_powerCorrection_sub_le_of_divisor_bounds

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

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

Write L=log⁡nL=\log nL=logn, y=n2/9y=n^{2/9}y=n2/9, Y=⌊y⌋Y=\lfloor y\rfloorY=⌊y⌋, and P={p prime:W<p≤Y}\mathcal P=\{p\text{ prime}:W<p\le Y\}P={p prime:W<p≤Y}. For a valuation law λ\lambdaλ, put Δλ(p,q)=Cov⁡λ(vp,vq)−Cov⁡λ(1p∣m,1q∣m)\Delta_\lambda(p,q)=\operatorname{Cov}_\lambda(v_p,v_q)-\operatorname{Cov}_\lambda(\mathbf1_{p\mid m},\mathbf1_{q\mid m})Δλ​(p,q)=Covλ​(vp​,vq​)−Covλ​(1p∣m​,1q∣m​). Let common finite weights mix pairs of bounded-valuation laws μc,νc\mu_c,\nu_cμc​,νc​ with common bound MMM, and let W>1W>1W>1, ϵ,G≥0\epsilon,G\ge0ϵ,G≥0. Suppose for all cells and positive DDD, Eμc1D∣m≤G/D\mathbb E_{\mu_c}\mathbf1_{D\mid m}\le G/DEμc​​1D∣m​≤G/D and the two divisor probabilities differ by at most 8ϵG/D8\epsilon G/D8ϵG/D. Suppose their divisor-pair covariances differ by at most 8ϵ(G/lcm⁡(D,E)+3G2/(DE))8\epsilon(G/\operatorname{lcm}(D,E)+3G^2/(DE))8ϵ(G/lcm(D,E)+3G2/(DE)) for every positive D,ED,ED,E. Then

∑q∈P∣Δν(p,q)−Δμ(p,q)∣≤physicalPowerCorrectionMixtureBudget(ϵ,G,n,W,p).\sum_{q\in\mathcal P}|\Delta_\nu(p,q)-\Delta_\mu(p,q)|\le\mathrm{physicalPowerCorrectionMixtureBudget}(\epsilon,G,n,W,p).q∈P∑​∣Δν​(p,q)−Δμ​(p,q)∣≤physicalPowerCorrectionMixtureBudget(ϵ,G,n,W,p).

This is the finite core of the residual physical-score 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
import Definitions.Def_erdos390_analytic_foundations_004
import Definitions.Def_erdos390_analytic_foundations_005

universe u_3 u_4
Formal statement
theorem Erdos390.Full.PaperBridgeFit.BridgeData.sum_abs_sameWeight_powerCorrection_sub_le_of_divisor_bounds :
∀ {Cell : Type u_3} [inst : Fintype.{u_3} Cell] {Omega : Cell → Type u_4}
  [inst_1 : (c : Cell) → Fintype.{u_4} (Omega c)] {M n W : Nat} (weight : Erdos390.Full.FiniteProbability.{u_3} Cell)
  (mu nu : (c : Cell) → Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.{u_4} (Omega c) M)
  (p : Erdos390.Full.ArithmeticBandGeometry.BandPrime n W) {epsilon G : Real},
  LE.le.{0} (0 : Real) epsilon →
    LE.le.{0} (0 : Real) G →
      LT.lt.{0} (1 : Nat) W →
        (∀ (c : Cell) (D : Nat),
            LT.lt.{0} (0 : Nat) D →
              LE.le.{0}
                (Erdos390.Full.FiniteProbability.expect.{u_4}
                  (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.probability.{u_4} (mu c)) fun (x : Omega c) =>
                  Erdos390.Full.ArithmeticModel.divInd D
                    (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.value.{u_4} (mu c) x))
                (HMul.hMul.{0, 0, 0} G (HDiv.hDiv.{0, 0, 0} (1 : Real) (↑D : Real)))) →
          (∀ (c : Cell) (D : Nat),
              LT.lt.{0} (0 : Nat) D →
                LE.le.{0}
                  (abs.{0}
                    (HSub.hSub.{0, 0, 0}
                      (Erdos390.Full.FiniteProbability.expect.{u_4}
                        (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.probability.{u_4} (nu c))
                        fun (x : Omega c) =>
                        Erdos390.Full.ArithmeticModel.divInd D
                          (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.value.{u_4} (nu c) x))
                      (Erdos390.Full.FiniteProbability.expect.{u_4}
                        (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.probability.{u_4} (mu c))
                        fun (x : Omega c) =>
                        Erdos390.Full.ArithmeticModel.divInd D
                          (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.value.{u_4} (mu c) x))))
                  (HMul.hMul.{0, 0, 0} (HMul.hMul.{0, 0, 0} (HMul.hMul.{0, 0, 0} (8 : Real) epsilon) G)
                    (HDiv.hDiv.{0, 0, 0} (1 : Real) (↑D : Real)))) →
            (∀ (c : Cell) (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_4}
                            (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.probability.{u_4} (nu c))
                            (fun (x : Omega c) =>
                              Erdos390.Full.ArithmeticModel.divInd D
                                (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.value.{u_4} (nu c) x))
                            fun (x : Omega c) =>
                            Erdos390.Full.ArithmeticModel.divInd E
                              (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.value.{u_4} (nu c) x))
                          (Erdos390.Full.FiniteProbability.covariance.{u_4}
                            (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.probability.{u_4} (mu c))
                            (fun (x : Omega c) =>
                              Erdos390.Full.ArithmeticModel.divInd D
                                (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.value.{u_4} (mu c) x))
                            fun (x : Omega c) =>
                            Erdos390.Full.ArithmeticModel.divInd E
                              (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.value.{u_4} (mu c) x))))
                      (HMul.hMul.{0, 0, 0} (HMul.hMul.{0, 0, 0} (8 : Real) epsilon)
                        (HAdd.hAdd.{0, 0, 0}
                          (HMul.hMul.{0, 0, 0} G (HDiv.hDiv.{0, 0, 0} (1 : Real) (↑(Nat.lcm D E) : Real)))
                          (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 : Real))))
                            (HMul.hMul.{0, 0, 0} G (HDiv.hDiv.{0, 0, 0} (1 : Real) (↑E : Real))))))) →
              LE.le.{0}
                (∑ q : Erdos390.Full.ArithmeticBandGeometry.BandPrime n W,
                  abs.{0}
                    (HSub.hSub.{0, 0, 0}
                      (HSub.hSub.{0, 0, 0}
                        (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.covVV.{max u_3 u_4}
                          (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.sigmaMixture.{u_3, u_4} weight nu)
                          (↑p : Nat) (↑q : Nat))
                        (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.covII.{max u_3 u_4}
                          (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.sigmaMixture.{u_3, u_4} weight nu)
                          (↑p : Nat) (↑q : Nat)))
                      (HSub.hSub.{0, 0, 0}
                        (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.covVV.{max u_3 u_4}
                          (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.sigmaMixture.{u_3, u_4} weight mu)
                          (↑p : Nat) (↑q : Nat))
                        (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.covII.{max u_3 u_4}
                          (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.sigmaMixture.{u_3, u_4} weight mu)
                          (↑p : Nat) (↑q : Nat)))))
                (Erdos390.Full.PaperBridgeFit.BridgeData.physicalPowerCorrectionMixtureBudget epsilon G n W (↑p : Nat)) := by sorry
Source
https://github.com/ShouqiaoW/erdos/blob/61325b10bbdc29f4fb5e0618b414b9f2189333ad/390/lean/Erdos390/Full/PaperBridgePhysicalPowerCorrectionRow.lean#L1123-L1345

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