Residual physical tilt changes a marked valuation covariance by a logarithmic error
ProvedErdos390.Full.PaperBridgeFit.BridgeData.abs_guardedCell_fullTilt_covariance_valuation_physical_sub_medium_leanalytic-number-theoryerdos-390erdos390-source-construction
Let have nonempty head set and its cell endpoints equal the physical floors associated with intervals , whose lower endpoints are at least one and upper endpoints at most . Fix a cell, tilt parameter, and natural . Suppose , the physical tilt coordinate has absolute value at most , the medium law satisfies , and . Let denote the physical score. Then
The comparison retains both the marked-prime factor and the inverse logarithmic ambient scale.
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_003 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.abs_guardedCell_fullTilt_covariance_valuation_physical_sub_medium_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) (I : Erdos390.Full.PaperGuardCensus.PhysicalIntervals)
{U Aphys Aval : Real} {p : Nat},
LT.lt.{0} (0 : Nat) p →
LE.le.{0} (0 : Real) Aphys →
LE.le.{0} (0 : Real) Aval →
(∀ (sigma : Erdos390.Full.PaperBridgeFit.PhysicalSign),
LE.le.{0} (1 : Real) (Erdos390.Full.PaperGuardCensus.PhysicalIntervals.lower I sigma)) →
(∀ (sigma : Erdos390.Full.PaperBridgeFit.PhysicalSign),
LE.le.{0} (Erdos390.Full.PaperGuardCensus.PhysicalIntervals.upper I sigma) U) →
(∀ (sigma : Erdos390.Full.PaperBridgeFit.PhysicalSign),
Eq.{1}
(Erdos390.Full.PaperBridgeFit.StructuredSampleData.lo.{u_1}
(Erdos390.Full.PaperBridgeFit.BridgeData.sampleData.{u_1, u_2} B) sigma)
(Erdos390.Full.ArithmeticModel.physicalBound
(Erdos390.Full.PaperGuardCensus.PhysicalIntervals.lower I sigma)
(Erdos390.Full.PaperBridgeFit.StructuredSampleData.n.{u_1}
(Erdos390.Full.PaperBridgeFit.BridgeData.sampleData.{u_1, u_2} B)))) →
(∀ (sigma : Erdos390.Full.PaperBridgeFit.PhysicalSign),
Eq.{1}
(Erdos390.Full.PaperBridgeFit.StructuredSampleData.hi.{u_1}
(Erdos390.Full.PaperBridgeFit.BridgeData.sampleData.{u_1, u_2} B) sigma)
(Erdos390.Full.ArithmeticModel.physicalBound
(Erdos390.Full.PaperGuardCensus.PhysicalIntervals.upper I sigma)
(Erdos390.Full.PaperBridgeFit.StructuredSampleData.n.{u_1}
(Erdos390.Full.PaperBridgeFit.BridgeData.sampleData.{u_1, u_2} B)))) →
LE.le.{0}
(abs.{0}
(WithLp.ofLp.{max u_1 u_2} xi Erdos390.Full.PaperBridgeFit.MomentCoord.physical.{u_2, u_1}))
Aphys →
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)
(HDiv.hDiv.{0, 0, 0} Aval ↑p) →
LE.le.{0}
(HMul.hMul.{0, 0, 0} (8 : Real)
(HDiv.hDiv.{0, 0, 0} (HMul.hMul.{0, 0, 0} Aphys (Real.log U))
(Erdos390.Full.PaperBridgeFit.BridgeData.L.{u_1, u_2} B)))
(1 : Real) →
LE.le.{0}
(abs.{0}
(HSub.hSub.{0, 0, 0}
(Erdos390.Full.FiniteProbability.covariance.{0}
(Erdos390.Full.FiniteProbability.exponentialTilt.{0}
(Erdos390.Full.PaperBridgeFit.BridgeData.guardedCellProbability.{u_1, u_2} B c)
(Erdos390.Full.FiniteProbability.sigmaCellScore.{u_1, 0}
(Erdos390.Full.PaperBridgeFit.BridgeData.scaledBridgeScore.{u_1, u_2} B xi) c))
(fun m => Erdos390.Full.ArithmeticModel.valuation p ↑m) fun m =>
Erdos390.Full.PaperBridgeFit.BridgeData.physicalScore.{u_1, u_2} B
(Sigma.mk.{u_1, 0} c m))
(Erdos390.Full.FiniteProbability.covariance.{0}
(Erdos390.Full.PaperBridgeFit.BridgeData.cellMediumLaw.{u_1, u_2} B xi c)
(fun m => Erdos390.Full.ArithmeticModel.valuation p ↑m) fun m =>
Erdos390.Full.PaperBridgeFit.BridgeData.physicalScore.{u_1, u_2} B
(Sigma.mk.{u_1, 0} c m))))
(HMul.hMul.{0, 0, 0}
(HMul.hMul.{0, 0, 0} (HMul.hMul.{0, 0, 0} (32 : Real) (Real.log U))
(HDiv.hDiv.{0, 0, 0} (HMul.hMul.{0, 0, 0} Aphys (Real.log U))
(Erdos390.Full.PaperBridgeFit.BridgeData.L.{u_1, u_2} B)))
(HDiv.hDiv.{0, 0, 0} Aval ↑p)) := by sorry
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