A reciprocal first moment for the medium-law valuation
ProvedErdos390.Full.PaperBridgeFit.BridgeData.cellMediumLaw_expect_valuation_leanalytic-number-theoryerdos-390erdos390-source-construction
Let have nonempty head set, fix a cell and tilt parameter , and let be prime. Assume , , , cell size at least , and every effective prime coefficient bounded by . Define
Then
This reciprocal first moment is the marked input for covariance estimates involving the physical statistic.
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_1 u_2
Formal statement
theorem Erdos390.Full.PaperBridgeFit.BridgeData.cellMediumLaw_expect_valuation_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) [inst_4 : Nonempty.{u_1 + 1} Head]
(xi : Erdos390.Full.PaperBridgeFit.BridgeData.ParamSpace.{u_1, u_2} B)
(c : Erdos390.Full.PaperBridgeFit.Cell.{u_1} Head) {rho A : Real} {p : Nat},
Nat.Prime p →
LE.le.{0} (0 : Real) A →
LT.lt.{0} (1 : Nat)
(Erdos390.Full.PaperBridgeFit.StructuredSampleData.W.{u_1}
(Erdos390.Full.PaperBridgeFit.BridgeData.sampleData.{u_1, u_2} B)) →
LT.lt.{0} (0 : Real) rho →
LE.le.{0}
(HMul.hMul.{0, 0, 0} rho
↑(Erdos390.Full.PaperBridgeFit.StructuredSampleData.hi.{u_1}
(Erdos390.Full.PaperBridgeFit.BridgeData.sampleData.{u_1, u_2} B) c.2))
↑(Finset.card.{0}
(Erdos390.Full.PaperBridgeFit.StructuredSampleData.cellFinset.{u_1}
(Erdos390.Full.PaperBridgeFit.BridgeData.sampleData.{u_1, u_2} B) c)) →
(∀
(r :
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.effectivePrimeCoefficient.{u_1, u_2} B xi r)) A) →
have G :=
HDiv.hDiv.{0, 0, 0}
(Real.exp
(HMul.hMul.{0, 0, 0} (2 : Real)
(HMul.hMul.{0, 0, 0}
(HDiv.hDiv.{0, 0, 0} A (Erdos390.Full.PaperBridgeFit.BridgeData.L.{u_1, u_2} B))
(HDiv.hDiv.{0, 0, 0}
(Real.log
↑(Erdos390.Full.PaperBridgeFit.StructuredSampleData.hi.{u_1}
(Erdos390.Full.PaperBridgeFit.BridgeData.sampleData.{u_1, u_2} B) c.2))
(Real.log
↑(Erdos390.Full.PaperBridgeFit.StructuredSampleData.W.{u_1}
(Erdos390.Full.PaperBridgeFit.BridgeData.sampleData.{u_1, u_2} B)))))))
rho;
LE.le.{0}
(Erdos390.Full.FiniteProbability.expect.{0}
(Erdos390.Full.PaperBridgeFit.BridgeData.cellMediumLaw.{u_1, u_2} B xi c) fun m =>
Erdos390.Full.ArithmeticModel.valuation p ↑m)
(HMul.hMul.{0, 0, 0} (HMul.hMul.{0, 0, 0} (2 : Real) G) (HDiv.hDiv.{0, 0, 0} (1 : Real) ↑p)) := by sorry
Source