OAI/NumberTheory/CubicMoment/Estimates/AllShortMoments.lean
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Uniform exceptional-moment savings when every actual short factor stays a fixed distance below length exponent one.
- lemma
OAI.CubicFirstMoment.short_length_le_scaleline 12 - theorem
OAI.CubicFirstMoment.all_short_cubic_momentline 24Source documentation
The all-short first exceptional configuration has a uniform power saving. The actual short arithmetic coefficients and independent bounded twists are allowed to vary freely; no amplitude or row-cardinality hypotheses remain.
theorem all_short_cubic_moment {δ C : ℝ} (hδ : 0 < δ) (hC : 0 < C) : ∃ ε : ℝ, 0 < ε ∧ ∃ Y₀ : ℝ, ∀ (F : ShortFactorFamily ι) (j : ℕ) (Y : ℝ) (S : Finset Eisenstein), Y₀ ≤ Y → (∀ i, F.length j i ≤ Y^(1-δ)) → (Y/C ≤ ∏ i, F.length j i) → (∏ i, F.length j i) ≤ C*Y → (∀ p ∈ S, gramDyad Y p) → (∑ p ∈ S, ‖∏ i, F.cubicValue j i p‖^2) ≤ Y^(7/3-ε) := by …Mentions: OAI.CubicFirstMoment.ShortFactorFamily, OAI.CubicFirstMoment.Eisenstein, OAI.CubicFirstMoment.gramDyad
- theorem
OAI.CubicFirstMoment.all_short_mixed_momentline 57Source documentation
The all-short balanced exceptional configuration has the same uniform saving, using only the published additive large sieve as analytic input.
theorem all_short_mixed_moment (hHuxley : HuxleyAdditiveLargeSieve) {δ C : ℝ} (hδ : 0 < δ) (hC : 0 < C) : ∃ ε : ℝ, 0 < ε ∧ ∃ Y₀ : ℝ, ∀ (F : ShortFactorFamily ι) (j : ℕ) (Y : ℝ) (S : Finset (Eisenstein × Eisenstein)), Y₀ ≤ Y → (∀ i, F.length j i ≤ Y^(1-δ)) → (Y/C ≤ ∏ i, F.length j i) → (∏ i, F.length j i) ≤ C*Y → (∀ p ∈ S, PrimarySquarefreePair p ∧ norm p.1 ≤ Y^(1/3:ℝ) ∧ norm p.2 ≤ Y^(1/3:ℝ)) → (∑ p ∈ S, ‖∏ i, F.mixedValue j i p‖^2) ≤ Y^(7/3-ε) := by …Mentions: OAI.CubicFirstMoment.HuxleyAdditiveLargeSieve, OAI.CubicFirstMoment.ShortFactorFamily, OAI.CubicFirstMoment.Eisenstein, OAI.CubicFirstMoment.PrimarySquarefreePair, OAI.CubicFirstMoment.norm
- theorem
OAI.CubicFirstMoment.large_cubic_moment_has_long_factorline 93Source documentation
Any larger first-configuration moment forces a factor of almost full length. This is the finite alternative used in the dominant-factor case.
theorem large_cubic_moment_has_long_factor {δ C : ℝ} (hδ : 0 < δ) (hC : 0 < C) : ∃ ε : ℝ, 0 < ε ∧ ∃ Y₀ : ℝ, ∀ (F : ShortFactorFamily ι) (j : ℕ) (Y : ℝ) (S : Finset Eisenstein), Y₀ ≤ Y → (Y/C ≤ ∏ i, F.length j i) → (∏ i, F.length j i) ≤ C*Y → (∀ p ∈ S, gramDyad Y p) → Y^(7/3-ε) < (∑ p ∈ S, ‖∏ i, F.cubicValue j i p‖^2) → ∃ i, Y^(1-δ) < F.length j i := by …Mentions: OAI.CubicFirstMoment.ShortFactorFamily, OAI.CubicFirstMoment.Eisenstein, OAI.CubicFirstMoment.gramDyad
- theorem
OAI.CubicFirstMoment.large_mixed_moment_has_long_factorline 108Source documentation
The analogous finite dominant-factor alternative for balanced rows.
theorem large_mixed_moment_has_long_factor (hHuxley : HuxleyAdditiveLargeSieve) {δ C : ℝ} (hδ : 0 < δ) (hC : 0 < C) : ∃ ε : ℝ, 0 < ε ∧ ∃ Y₀ : ℝ, ∀ (F : ShortFactorFamily ι) (j : ℕ) (Y : ℝ) (S : Finset (Eisenstein × Eisenstein)), Y₀ ≤ Y → (Y/C ≤ ∏ i, F.length j i) → (∏ i, F.length j i) ≤ C*Y → (∀ p ∈ S, PrimarySquarefreePair p ∧ norm p.1 ≤ Y^(1/3:ℝ) ∧ norm p.2 ≤ Y^(1/3:ℝ)) → Y^(7/3-ε) < (∑ p ∈ S, ‖∏ i, F.mixedValue j i p‖^2) → ∃ i, Y^(1-δ) < F.length j i := by …Mentions: OAI.CubicFirstMoment.HuxleyAdditiveLargeSieve, OAI.CubicFirstMoment.ShortFactorFamily, OAI.CubicFirstMoment.Eisenstein, OAI.CubicFirstMoment.PrimarySquarefreePair, OAI.CubicFirstMoment.norm