OAI/NumberTheory/JointDickman/Counting/CandidateCoefficientFactor.lean
6 declarations, 0 contain sorry, 0 declared as axioms
Separating the deterministic and remainder factors of a candidate
- def
OAI.JointDickman.candidateCoefficientFactorline 10 - theorem
OAI.JointDickman.candidateCoefficientFactor_nonnegline 17 - theorem
OAI.JointDickman.candidateMeanWeight_factorline 27 - theorem
OAI.JointDickman.candidateCoefficientFactor_zero_leftline 37 - theorem
OAI.JointDickman.candidateCoefficientFactor_zero_rightline 45 - theorem
OAI.JointDickman.candidateSiteKernel_factor_sumline 57Source documentation
The local site kernel is a sum of deterministic factors times the two regular remainder weights.
theorem candidateSiteKernel_factor_sum {B L T H M : ℕ} {τ C : ℝ} (χ : BlockCandidateIndex M → ℝ) (i t : Fin M) (hit : i < t) (S R : Finset ℕ) : candidateSiteKernel B L T H M τ C χ i t S R = ∑ ab ∈ candidatePairRepresentations B L T H τ C i t S R, candidateCoefficientFactor B L τ C χ ((i,t),ab)* regularResidueWeight B L τ C (S \ ab.1)*regularResidueWeight B L τ C (R \ ab.2) := by …Mentions: OAI.JointDickman.BlockCandidateIndex, OAI.JointDickman.candidateSiteKernel, OAI.JointDickman.candidatePairRepresentations, OAI.JointDickman.candidateCoefficientFactor, OAI.JointDickman.regularResidueWeight