OAI/NumberTheory/TotientAsymptotic/PPTGridMargins.lean

GitHub source file

9 declarations, 0 contain sorry, 0 declared as axioms

The quantitative margins for the actual PPT paired grid. The last retained coordinates have size at least t^(-1/3); their inverse-cube relative gaps dominate the normality mesh when the dimension is logarithmic in t.

  1. lemma OAI.TotientAsymptotic.ppt_paired_gap_of_left_gap line 21

    Source documentation

    A left-coordinate gap survives both alignment errors and the stated grid padding.

    lemma ppt_paired_gap_of_left_gap {u v u' v' A B padding : ℝ}
        (hprev : |u-v| ≤ A) (hnext : |u'-v'| ≤ B)
        (hgap : u'+A+B+padding < u) :
        max u' v'+padding < min u v := by
    …

    Mentions: OAI.TotientAsymptotic.A, OAI.TotientAsymptotic.B

  2. lemma OAI.TotientAsymptotic.ppt_adaptive_head_edge line 32

    Source documentation

    A genuine head-to-tail gap supplies an adaptive lower endpoint.

    lemma ppt_adaptive_head_edge {first u v : ℝ}
        (hgap : first < min u v) (htop : max u v ≤ 1) :
        ∃ θ : ℝ, first < θ ∧ θ ≤ min u v ∧ θ < 1 := by
    …
  3. lemma OAI.TotientAsymptotic.ppt_contraction_gap line 41
  4. theorem OAI.TotientAsymptotic.ppt_log_dimension_separation line 55

    Source documentation

    The entire grid-padding cost is smaller than a fixed fraction of the last retained coordinate's inverse-cube gap, uniformly in the dimension.

    theorem ppt_log_dimension_separation {C : ℝ} (_hC : 0 < C) :
        ∀ᶠ t : ℝ in atTop, ∀ H : ℕ,
          1 ≤ H → (H : ℝ) ≤ C*Real.log t →
          (8*(H : ℝ)+20)*(2*(Real.log t)^5/Real.sqrt t) <
            1/(40*(H : ℝ)^3*t^(1/3 : ℝ)) := by
    …
  5. theorem OAI.TotientAsymptotic.ppt_logarithmic_alignment_error line 103

    Source documentation

    The additive logarithmic factor-count error can be included by doubling the square-root mesh.

    theorem ppt_logarithmic_alignment_error :
        ∀ᶠ t : ℝ in atTop,
          Real.log (3*t)/t ≤ (Real.log t)^5/Real.sqrt t := by
    …
  6. theorem OAI.TotientAsymptotic.ppt_grid_error_absorbed_two_mesh line 133

    Source documentation

    The doubled mesh also fits in the inverse-cube exponent margin.

    theorem ppt_grid_error_absorbed_two_mesh {C : ℝ} (hC : 0 < C) :
        ∀ᶠ t : ℝ in atTop, ∀ (b H r : ℕ) (e w η δ : ℝ),
          1 ≤ H → b ≤ H → r+1 ≤ H → (H : ℝ) ≤ C*Real.log t →
          0 ≤ δ → δ ≤ 2*((Real.log t)^5/Real.sqrt t) →
          e ≤ (2*(b : ℝ)+4)*δ → w ≤ (4*(b : ℝ)+3)*δ → η ≤ δ →
          e*(∑ j ∈ Finset.Icc 1 (b-1), a j)+2*(b-1 : ℕ)*w+
            η*(∑ i ∈ Finset.Icc 2 b, ((i : ℝ)*Real.log i+i)) ≤
              rowContractionError r/16 := by
    …

    Mentions: OAI.TotientAsymptotic.w, OAI.TotientAsymptotic.a, OAI.TotientAsymptotic.rowContractionError

  7. theorem OAI.TotientAsymptotic.ppt_local_normality_error_mesh line 173

    Source documentation

    The indexed local choice B S = h^4 fits the same PPT mesh whenever the remaining length is logarithmic in the comparison double logarithm. The cutoff itself is a parameter, so no global normality transfer is used.

    theorem ppt_local_normality_error_mesh {A : ℝ} (_hA : 0 < A) :
        ∀ᶠ t : ℝ in atTop, ∀ (h : ℕ) (S : ℝ),
          (h : ℝ) ≤ A*Real.log t → 0 ≤ B S → B S ≤ (h : ℝ)^4 →
          Real.sqrt (B S/t) ≤ (Real.log t)^5/Real.sqrt t := by
    …

    Mentions: OAI.TotientAsymptotic.A, OAI.TotientAsymptotic.B

  8. theorem OAI.TotientAsymptotic.ppt_local_normality_height_bound line 208

    Source documentation

    The fourth-power indexed normality height is below the terminal two-thirds-power height throughout the same logarithmic length range.

    theorem ppt_local_normality_height_bound {A : ℝ} (_hA : 0 < A) :
        ∀ᶠ t : ℝ in atTop, ∀ h : ℕ,
          (h : ℝ) ≤ A*Real.log t → (h : ℝ)^4 ≤ t^(2/3 : ℝ) := by
    …

    Mentions: OAI.TotientAsymptotic.A

  9. theorem OAI.TotientAsymptotic.ppt_local_normality_terminal_cutoff line 234

    Source documentation

    If B S ≤ h^4 and the terminal cutoff has double logarithm at least t^(2/3), the literal Ford condition S ≤ Y follows.

    theorem ppt_local_normality_terminal_cutoff {A : ℝ} (hA : 0 < A) :
        ∀ᶠ t : ℝ in atTop, ∀ (h : ℕ) (S Y : ℝ),
          (h : ℝ) ≤ A*Real.log t → 1 < S → 1 < Y →
          B S ≤ (h : ℝ)^4 → t^(2/3 : ℝ) ≤ B Y → S ≤ Y := by
    …

    Mentions: OAI.TotientAsymptotic.A, OAI.TotientAsymptotic.B