Tao Lemma 3.6: the large sieve inequality
DisprovedTaoFivePrimes.large_sieve_inequalityMontgomery's large sieve inequality. Let be square-summable, let with , let be a finite set and real numbers that are -separated modulo , that is
for some . Then
This is the large sieve inequality in the sharp form of Montgomery and Vaughan and of Selberg, quoted by the source as its Lemma 3.6. It is the analytic engine of the minor-arc treatment: the bilinear special case (the source's Corollary 3.7) and its subdivision form (Corollary 3.9) both reduce to it, and through them so does the Type II estimate of Section 5. The constant is best possible in the sense that neither summand can be reduced.
Formalization Note The sum over is taken over , which is the set of integers in , and is the platform's TaoFivePrimes.eR. The separation is stated through round, so that is the distance from to the nearest integer. This is exactly the shape consumed as a hypothesis by TaoFivePrimes.large_sieve_bilinear.
import Mathlib import Definitions.Def_TaoFivePrimes_Explicit open Finset
theorem TaoFivePrimes.large_sieve_inequality
(a : ℤ → ℂ) (ha : Summable (fun n : ℤ => ‖a n‖ ^ 2))
(T : Finset ℤ) (xi : ℤ → ℝ) (d u v : ℝ) (hd : 0 < d) (huv : 1 ≤ v - u)
(hsep : ∀ i ∈ T, ∀ j ∈ T, i ≠ j → d ≤ |(xi i - xi j) - round (xi i - xi j)|) :
(∑ i ∈ T, ‖∑ n ∈ Finset.Ioc ⌊u⌋ ⌊v⌋, a n * TaoFivePrimes.eR (xi i * (n : ℝ))‖ ^ 2)
≤ ((v - u) + 1 / d) * ∑' n : ℤ, ‖a n‖ ^ 2 := by sorry