OAI/NumberTheory/TwoPoint/Halasz/HalaszWindowSampling.lean
2 declarations, 0 contain sorry, 0 declared as axioms
A finite sampling inequality from the compact coefficient-torus window. The right side counts actual nearby pairs of sampling centers.
- lemma
OAI.TwoPointCorrelations.halasz_character_window_innerline 12 - theorem
OAI.TwoPointCorrelations.halasz_window_samplingline 31Source documentation
Finite Fourier sampling costs only the volume of the window times the number of pairs of centers whose translated windows can meet.
theorem halasz_window_sampling {ι : Type*} {k : ℕ} (B : Finset ι) (S : Finset (Fin k → ℤ)) (β : ι → Fin k → AddCircle (1:ℝ)) (a : ι → ℂ) (δ : Fin k → ℝ) (ha : ∀ b∈B,‖a b‖≤1) (hδ : ∀ j,0≤δ j) (hδhalf : ∀ j,δ j≤1/2) (hphase : ∀ m∈S,∀ j,2*Real.pi*|(m j:ℝ)| * δ j≤1) : (∏ j,δ j)^2*(∑ m∈S,‖∑ b∈B,a b*halaszVinogradovCharacter m (β b)‖^2)≤ (∏ j,2*δ j)* (((B×ˢB).filter (fun p => HalaszWindowNear δ (β p.1) (β p.2))).card:ℝ) := by …Mentions: OAI.TwoPointCorrelations.halaszVinogradovCharacter, OAI.TwoPointCorrelations.HalaszWindowNear