Finite transfer from prime-chain contraction to accumulated score loss
ProvedThreeSum.Scales.scoreLoss_finite_bound3sumalgorithmsfine-grained-complexitythree-sum-1962word-ram
Fix . Let , , and for the constructed radix . Let count the primes in and let be the divisor budget. Assume
Then
The power on the right is the explicit accumulated score loss. The theorem converts finite candidate-density, contraction, and modulus bounds into a bound on the final modulus-weighted score.
Preamble
import Definitions.Def_ThreeSum1962Source_Bundle05 import Definitions.Def_ThreeSum1962Source_Bundle07 import Lean.Elab.Tactic.Omega import Mathlib.Algebra.BigOperators.Group.Finset.Basic import Mathlib.Algebra.Order.Floor.Div import Mathlib.Analysis.Complex.ExponentialBounds import Mathlib.Analysis.Convex.Deriv import Mathlib.Analysis.SpecialFunctions.BinaryEntropy import Mathlib.Analysis.SpecialFunctions.Log.Base import Mathlib.Analysis.SpecialFunctions.Pow.Asymptotics import Mathlib.Analysis.SpecialFunctions.Pow.NthRootLemmas import Mathlib.Analysis.SpecificLimits.Basic import Mathlib.Analysis.SpecificLimits.Normed import Mathlib.Data.Finset.Powerset import Mathlib.Data.Finset.Prod import Mathlib.Data.Fintype.BigOperators import Mathlib.Data.Fintype.Card import Mathlib.Data.Fintype.Prod import Mathlib.Data.Nat.Choose.Basic import Mathlib.Data.Nat.Choose.Central import Mathlib.Data.Nat.Choose.Sum import Mathlib.Data.Nat.Sqrt import Mathlib.Data.Real.Basic import Mathlib.NumberTheory.Bertrand import Mathlib.NumberTheory.Chebyshev import Mathlib.Order.Monotone.Basic import Mathlib.Tactic.FieldSimp import Mathlib.Tactic.Linarith import Mathlib.Tactic.NormNum import Mathlib.Tactic.Positivity import Mathlib.Tactic.Ring set_option autoImplicit false set_option relaxedAutoImplicit false set_option Elab.async false
Formal statement
theorem ThreeSum.Scales.scoreLoss_finite_bound : ∀ {k n H H₁ P : Nat}
(hC :
@LT.lt.{0} Nat instLTNat (@OfNat.ofNat.{0} Nat (nat_lit 0) (instOfNatNat (nat_lit 0)))
(@Finset.card.{0} Nat (ThreeSum.PrimeDensity.candidates (ThreeSum.Scales.primeWindow n))))
(hbudget :
@LE.le.{0} Nat instLENat
(@HMul.hMul.{0, 0, 0} Nat Nat Nat (@instHMul.{0} Nat instMulNat) (ThreeSum.Scales.divisorBudget k n)
(ThreeSum.Scales.primeWindow n))
(@HMul.hMul.{0, 0, 0} Nat Nat Nat (@instHMul.{0} Nat instMulNat)
(@Finset.card.{0} Nat (ThreeSum.PrimeDensity.candidates (ThreeSum.Scales.primeWindow n)))
(@HMul.hMul.{0, 0, 0} Nat Nat Nat (@instHMul.{0} Nat instMulNat)
(@HMul.hMul.{0, 0, 0} Nat Nat Nat (@instHMul.{0} Nat instMulNat)
(@OfNat.ofNat.{0} Nat (nat_lit 4) (instOfNatNat (nat_lit 4)))
(@HAdd.hAdd.{0, 0, 0} Nat Nat Nat (@instHAdd.{0} Nat instAddNat) k
(@OfNat.ofNat.{0} Nat (nat_lit 2) (instOfNatNat (nat_lit 2)))))
(@HAdd.hAdd.{0, 0, 0} Nat Nat Nat (@instHAdd.{0} Nat instAddNat) (ThreeSum.Scales.inputBits n)
(@OfNat.ofNat.{0} Nat (nat_lit 1) (instOfNatNat (nat_lit 1)))))))
(hcontract :
@LE.le.{0} Nat instLENat
(@HMul.hMul.{0, 0, 0} Nat Nat Nat (@instHMul.{0} Nat instMulNat)
(@HPow.hPow.{0, 0, 0} Nat Nat Nat
(@instHPow.{0, 0} Nat Nat (@NPow.toPow.{0} Nat (@Monoid.toNPow.{0} Nat Nat.instMonoid)))
(@Finset.card.{0} Nat (ThreeSum.PrimeDensity.candidates (ThreeSum.Scales.primeWindow n)))
(ThreeSum.Scales.primeDepth ThreeSum.Scales.radix n))
H)
(@HMul.hMul.{0, 0, 0} Nat Nat Nat (@instHMul.{0} Nat instMulNat)
(@HPow.hPow.{0, 0, 0} Nat Nat Nat
(@instHPow.{0, 0} Nat Nat (@NPow.toPow.{0} Nat (@Monoid.toNPow.{0} Nat Nat.instMonoid)))
(ThreeSum.Scales.divisorBudget k n) (ThreeSum.Scales.primeDepth ThreeSum.Scales.radix n))
H₁))
(hP :
@LE.le.{0} Nat instLENat P
(@HPow.hPow.{0, 0, 0} Nat Nat Nat
(@instHPow.{0, 0} Nat Nat (@NPow.toPow.{0} Nat (@Monoid.toNPow.{0} Nat Nat.instMonoid)))
(@HMul.hMul.{0, 0, 0} Nat Nat Nat (@instHMul.{0} Nat instMulNat)
(@OfNat.ofNat.{0} Nat (nat_lit 4) (instOfNatNat (nat_lit 4))) (ThreeSum.Scales.primeWindow n))
(ThreeSum.Scales.primeDepth ThreeSum.Scales.radix n))),
@LE.le.{0} Nat instLENat (@HMul.hMul.{0, 0, 0} Nat Nat Nat (@instHMul.{0} Nat instMulNat) P H)
(@HMul.hMul.{0, 0, 0} Nat Nat Nat (@instHMul.{0} Nat instMulNat) (ThreeSum.Scales.scoreLoss k n) H₁) := by
sorry
Source