AnalyticNumberTheory.LargeSieve.Duality #
Dual quadratic-form identity #
The central Parseval/tensor-product step in Montgomery's additive large-sieve
proof expands the square sum of T(n) = Σ_{x∈X} star(e(nx))·b_x
into a quadratic form with coefficients b_x·star(b_y) and kernel
Σ_n star(e(n(x−y))):
Σ_n |T(n)|² = Σ_x Σ_y b_x·star(b_y)·Σ_n star(e(n(x−y))).
The module proves three levels of this identity:
- Finite-matrix expansion (
dualExpansion): a purely algebraic identity for arbitraryφ : ι → κ → ℂandb : κ → ℂ, with no character hypotheses. - Real additive-character version (
dualQuadraticIdentity): takeφ n x = e(nx)and usestar(e(nx))·e(ny) = star(e(n(x−y)))to reduce the kernel toΣ_n star(e(n(x−y))). - Shifted-interval version (
dualQuadraticIdentity_Icc) forn ∈ (M, M+N], and circle version (dualQuadraticIdentity_circle) forcharPow n x = e(nx)onAddCircle 1, matchingMontgomeryLargeSieveDual.
The subsequent geometric-sum and Schur-test argument estimates the off-diagonal
kernel entries by min(N, 1/(2·dist x y)). These are the kernel estimates used
in the dual large-sieve argument; this module supplies
the identities, not the sharp Montgomery bound.
References: Montgomery, "Topics in Multiplicative Number Theory" (1971), Ch. 1; Iwaniec & Kowalski, "Analytic Number Theory" (2004), Ch. 7.
1. Finite-matrix expansion #
Dual quadratic-form expansion (finite matrices): for arbitrary
φ : ι → κ → ℂ and b : κ → ℂ,
Σ_n |Σ_x star(φ n x)·b_x|² = Σ_x Σ_y b_x·star(b_y)·(Σ_n star(φ n x)·φ n y).
This is the algebraic foundation of Montgomery's dual large-sieve argument:
the left side sums over n, while the right side is regrouped by x, y.
The kernel Σ_n star(φ n x)·φ n y is the object to be estimated.