OAI/NumberTheory/JointDickman/Amplification/CandidateForwardMass.lean
3 declarations, 0 contain sorry, 0 declared as axioms
Forward candidate mass and the vanishing independent-root error
- theorem
OAI.JointDickman.candidateMatrix_forward_totalline 14Source documentation
Each candidate is counted once in the strict upper triangle.
theorem candidateMatrix_forward_total {ι : Type*} [Fintype ι] {M : ℕ} (row col : ι → Fin M) (v : ι → ℝ) (hord : ∀ e, row e < col e) : (∑ i : Fin M, ∑ k : Fin M, if i < k then candidateMatrix row col v i k else 0) = ∑ e, v e := by …Mentions: OAI.JointDickman.candidateMatrix
- theorem
OAI.JointDickman.latentCandidateKernel_forward_zeroline 57Source documentation
The forward entry is zero once its lag is outside the candidate support.
theorem latentCandidateKernel_forward_zero {B L T H M : ℕ} {τ C : ℝ} (S : Fin M → Finset ℕ) (χ : BlockCandidateIndex M → ℝ) (i k : Fin M) (hik : i < k) (hlag : T ≤ k.val-i.val) : latentCandidateKernel B L T H M τ C S χ i k = 0 := by …Mentions: OAI.JointDickman.BlockCandidateIndex, OAI.JointDickman.latentCandidateKernel
- theorem
OAI.JointDickman.latentCandidateKernel_forward_total_meanline 75Source documentation
The conditional forward bounds have an absolute total per block row.
theorem latentCandidateKernel_forward_total_mean (hFord : PublishedInputs.FordUpperSieveInput) (hM : PublishedInputs.PrimeReciprocalMertensInput) : ∃ K : ℝ, 0 < K ∧ ∀ᶠ B : ℕ in atTop, ∀ (L T H M : ℕ) (τ C : ℝ), 0 < T → (T : ℝ) ≤ Real.exp ((1/10 : ℝ)*B) → ∀ χ : BlockCandidateIndex M → ℝ, (∀ e, χ e ≤ 1) → finiteExpectation (siteProductMass (fun _ : Fin M => independentPrimeSetMass B)) (fun S => ∑ i : Fin M, ∑ k : Fin M, if i < k then latentCandidateKernel B L T H M τ C (fun i => (S i).val) χ i k else 0) ≤ K*M := by …Mentions: OAI.JointDickman.PublishedInputs.FordUpperSieveInput, OAI.JointDickman.PublishedInputs.PrimeReciprocalMertensInput, OAI.JointDickman.BlockCandidateIndex, OAI.JointDickman.finiteExpectation, OAI.JointDickman.independentPrimeSetMass, OAI.JointDickman.latentCandidateKernel