Contraction of a weighted covariance-row difference against deviations
ProvedErdos390.Full.PaperBridgeFit.BridgeData.abs_nonstepPowerCorrectionRow_sub_leanalytic-number-theoryerdos-390erdos390-source-construction
Let law₁ and law₂ be bounded valuation laws on finite spaces. Suppose w≥0 and every prime deviation of B has absolute value at most w. If p times the sum of absolute differences of the two prime-power covariance correction rows is at most ρ for every band prime p, then their non-step correction rows differ by at most ρw in every band i. The normalization is the literal harmonic band mass.
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_005 universe u_1 u_2 u_3 u_4
Formal statement
theorem Erdos390.Full.PaperBridgeFit.BridgeData.abs_nonstepPowerCorrectionRow_sub_le :
∀ {Head : Type u_1} {Band : Type u_2} [inst : Fintype.{u_1} Head] [inst_1 : DecidableEq.{u_1 + 1} Head]
[inst_2 : Fintype.{u_2} Band] [inst_3 : DecidableEq.{u_2 + 1} Band]
(B : Erdos390.Full.PaperBridgeFit.BridgeData.{u_1, u_2} Head Band) {Omega₁ : Type u_3} {Omega₂ : Type u_4}
[inst_4 : Fintype.{u_3} Omega₁] [inst_5 : Fintype.{u_4} Omega₂] {M₁ M₂ : Nat}
(law₁ : Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.{u_3} Omega₁ M₁)
(law₂ : Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.{u_4} Omega₂ M₂) {rho w : Real},
LE.le.{0} (0 : Real) w →
(∀
(q :
Erdos390.Full.ArithmeticBandGeometry.BandPrime
(Erdos390.Full.PaperBridgeFit.StructuredSampleData.n.{u_1}
(Erdos390.Full.PaperBridgeFit.BridgeData.sampleData.{u_1, u_2} B))
(Erdos390.Full.PaperBridgeFit.StructuredSampleData.W.{u_1}
(Erdos390.Full.PaperBridgeFit.BridgeData.sampleData.{u_1, u_2} B))),
LE.le.{0} (abs.{0} (Erdos390.Full.PaperBridgeFit.BridgeData.primeDeviation.{u_1, u_2} B q)) w) →
(∀
(p :
Erdos390.Full.ArithmeticBandGeometry.BandPrime
(Erdos390.Full.PaperBridgeFit.StructuredSampleData.n.{u_1}
(Erdos390.Full.PaperBridgeFit.BridgeData.sampleData.{u_1, u_2} B))
(Erdos390.Full.PaperBridgeFit.StructuredSampleData.W.{u_1}
(Erdos390.Full.PaperBridgeFit.BridgeData.sampleData.{u_1, u_2} B))),
LE.le.{0}
(HMul.hMul.{0, 0, 0} (↑↑p)
(∑ q :
Erdos390.Full.ArithmeticBandGeometry.BandPrime
(Erdos390.Full.PaperBridgeFit.StructuredSampleData.n.{u_1}
(Erdos390.Full.PaperBridgeFit.BridgeData.sampleData.{u_1, u_2} B))
(Erdos390.Full.PaperBridgeFit.StructuredSampleData.W.{u_1}
(Erdos390.Full.PaperBridgeFit.BridgeData.sampleData.{u_1, u_2} B)),
abs.{0}
(HSub.hSub.{0, 0, 0}
(HSub.hSub.{0, 0, 0} (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.covVV.{u_3} law₁ ↑p ↑q)
(Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.covII.{u_3} law₁ ↑p ↑q))
(HSub.hSub.{0, 0, 0} (Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.covVV.{u_4} law₂ ↑p ↑q)
(Erdos390.Full.PrimePowerCovariance.BoundedValuationLaw.covII.{u_4} law₂ ↑p ↑q)))))
rho) →
∀ (i : Band),
LE.le.{0}
(abs.{0}
(HSub.hSub.{0, 0, 0}
(HSub.hSub.{0, 0, 0}
(Erdos390.Full.PaperBridgeFit.BridgeData.nonstepFullCoefficientRow.{u_1, u_2, u_3} B law₁ i)
(Erdos390.Full.PaperBridgeFit.BridgeData.nonstepSquarefreeCoefficientRow.{u_1, u_2, u_3} B law₁ i))
(HSub.hSub.{0, 0, 0}
(Erdos390.Full.PaperBridgeFit.BridgeData.nonstepFullCoefficientRow.{u_1, u_2, u_4} B law₂ i)
(Erdos390.Full.PaperBridgeFit.BridgeData.nonstepSquarefreeCoefficientRow.{u_1, u_2, u_4} B law₂ i))))
(HMul.hMul.{0, 0, 0} rho w) := by sorry
Source