OAI/NumberTheory/TwoPoint/Bounds/FixedColumnWords.lean
9 declarations, 0 contain sorry, 0 declared as axioms
The actual resampling model after every other column and padding are fixed.
- structure
OAI.TwoPointCorrelations.ColumnWordPatternline 10 - def
OAI.TwoPointCorrelations.ColumnWordPattern.stepline 21 - def
OAI.TwoPointCorrelations.ColumnWordPattern.wordline 26 - def
OAI.TwoPointCorrelations.ColumnWordPattern.coefficientline 29 - lemma
OAI.TwoPointCorrelations.ColumnWordPattern.word_lengthline 32 - lemma
OAI.TwoPointCorrelations.ColumnWordPattern.displacementline 35 - lemma
OAI.TwoPointCorrelations.ColumnWordPattern.coefficient_absline 42 - lemma
OAI.TwoPointCorrelations.ColumnWordPattern.coefficient_boundline 46 - theorem
OAI.TwoPointCorrelations.ColumnWordPattern.high_rank_event_boundline 56Source documentation
The resampled step list has fixed coefficients independent of every numerical prime in the chosen column. Only selected departures need be lit.
theorem high_rank_event_bound [Fintype α] [DecidableEq α] {ρ : Type*} [Fintype ρ] [DecidableEq ρ] (w : ColumnWordPattern α) (h Q D B : ℕ) (P : Finset ℕ) (hP : ∀ p ∈ P, p.Prime) (μ : FiniteLaw P) (hbound : ∀ p ∈ P, p ≤ B) (hq : ∀ j < w.length, w.padding j ≤ Q) (hd : ∀ j < w.length, w.otherColumns j ≤ D) (left right : ρ → ℕ) (control : ρ → α) (hl : ∀ i, left i ≤ w.length) (hr : ∀ i, right i ≤ w.length) (hind : LinearIndependent ℝ (Sum.elim (fun i => formalDeparture w.label (fun j => (w.coefficient h j : ℝ)) (left i) - formalDeparture w.label (fun j => (w.coefficient h j : ℝ)) (right i)) …Mentions: OAI.TwoPointCorrelations.ColumnWordPattern, OAI.TwoPointCorrelations.FiniteLaw, OAI.TwoPointCorrelations.formalDeparture