Divisor perturbations control a common-mixture power row
ProvedErdos390.Full.PaperBridgeFit.BridgeData.sum_abs_sameWeight_powerCorrection_sub_le_of_divisor_boundsanalytic-number-theoryerdos-390erdos390-source-construction
Write , , , and . For a valuation law , put . Let common finite weights mix pairs of bounded-valuation laws with common bound , and let , . Suppose for all cells and positive , and the two divisor probabilities differ by at most . Suppose their divisor-pair covariances differ by at most for every positive . Then
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