OAI/NumberTheory/JointDickman/Amplification/WeightedCandidateMultiplicity.lean
2 declarations, 0 contain sorry, 0 declared as axioms
Using the tilted multiplicity estimate after fixing a first pair
- def
OAI.JointDickman.candidateMultiplicityMomentline 10 - theorem
OAI.JointDickman.candidateMultiplicityMoment_le_firstMassline 20Source documentation
This is the exact point at which the previously proved tilted count enters the square estimate. No regularity probability is divided out.
theorem candidateMultiplicityMoment_le_firstMass {B L T H M : ℕ} {τ C Q : ℝ} (χ : BlockCandidateIndex M → ℝ) (hχ : ∀ e, 0 ≤ χ e) (i t : Fin M) (hit : i < t) (hcount : ∀ A ∈ (auxiliaryPrimes B).powerset, ∀ D ∈ (auxiliaryPrimes B).powerset, BlockCandidateAdmissible B L T H τ C ((i,t),(A,D)) → RegularPrimeSet B L τ C A → RegularPrimeSet B L τ C D → tiltedCandidatePairCount B L T H τ C i t A D ≤ Q) : candidateMultiplicityMoment B L T H τ C χ i t ≤ Q*candidateFirstPairMass B L T H τ C χ i t := by …Mentions: OAI.JointDickman.BlockCandidateIndex, OAI.JointDickman.auxiliaryPrimes, OAI.JointDickman.BlockCandidateAdmissible, OAI.JointDickman.RegularPrimeSet, OAI.JointDickman.tiltedCandidatePairCount, OAI.JointDickman.candidateMultiplicityMoment, OAI.JointDickman.candidateFirstPairMass