OAI/NumberTheory/TwoPoint/Bounds/FixedColumnWords.lean

GitHub source file

9 declarations, 0 contain sorry, 0 declared as axioms

The actual resampling model after every other column and padding are fixed.

  1. structure OAI.TwoPointCorrelations.ColumnWordPattern line 10
  2. def OAI.TwoPointCorrelations.ColumnWordPattern.step line 21
  3. def OAI.TwoPointCorrelations.ColumnWordPattern.word line 26
  4. def OAI.TwoPointCorrelations.ColumnWordPattern.coefficient line 29
  5. lemma OAI.TwoPointCorrelations.ColumnWordPattern.word_length line 32
  6. lemma OAI.TwoPointCorrelations.ColumnWordPattern.displacement line 35
  7. lemma OAI.TwoPointCorrelations.ColumnWordPattern.coefficient_abs line 42
  8. lemma OAI.TwoPointCorrelations.ColumnWordPattern.coefficient_bound line 46
  9. theorem OAI.TwoPointCorrelations.ColumnWordPattern.high_rank_event_bound line 56

    Source 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