Documentation

MathlibNt.AnalyticNumberTheory.LargeSieve.DirichLTwistedSmoothedQuadraticConditionalErrorAssembly

The quadratic contour uses the full conditional cross-zero width and a quarter-width extension into the absolutely convergent half-plane.

Equations
Instances For
    theorem AnalyticNumberTheory.LargeSieve.norm_logDerivative_le_on_quadraticConditionalPerronLeft (Z : ) (hZ : 0 < Z) (hzeta : ∀ (x u : ), 0 < xx 1u 0riemannZeta (1 + x + Complex.I * u) Z * (1 + Real.log (|u| + 2) + 1 / |u|)) {q : } [NeZero q] (χ : DirichletCharacter q) (hquad : χ ^ 2 = 1) ( : χ 1) {A c η T t : } (hA : 0 < A) (hAc : A c / 256) (hAhalf : A 1 / 2) (hAsmall : A 1 / (16 * Z * 192 ^ 4)) (hc : 0 < c) ( : 0 < η) (hT : 0 < T) (hSiegel : c * q ^ (-η) (DirichletCharacter.LFunction χ 1).re) (hw : 0 < dirichletLQuadraticConditionalCrossZeroWidth A c η q T) (ht : |t| T) :

    The whole-band estimate pays the complete left edge of the quadratic Perron rectangle. This is the quantitative edge needed by the later Bochner integral estimate; no nonquadratic hypothesis occurs.

    theorem AnalyticNumberTheory.LargeSieve.twistedSmoothedPerronIntegrand_holomorphicOn_quadraticConditionalRectangle {q : } [NeZero q] (χ : DirichletCharacter q) {A A₀ c η T : } (_hAA₀ : A A₀) (_hA : 0 < A) (_hc : 0 < c) (_hη : 0 < η) (hT : 0 < T) ( : χ 1) (hw : 0 < dirichletLQuadraticConditionalCrossZeroWidth A c η q T) (hw2 : dirichletLQuadraticConditionalCrossZeroWidth A c η q T 1 / 2) (hwidthle : dirichletLQuadraticConditionalCrossZeroWidth A c η q T dirichletLQuadraticConditionalCrossZeroWidth A₀ c η q T) (hzero : sdirichletLQuadraticConditionalCrossZeroRectangle A₀ c η q T, DirichletCharacter.LFunction χ s 0) {ν : } (diffν : ContDiff 1 ν) (νpos : x > 0, 0 ν x) (suppν : Function.support νSet.Icc (1 / 2) 2) (mass_one : (x : ) in Set.Ioi 0, ν x / x = 1) {X ε : } (hX : 0 < X) ( : 0 < ε) (hε1 : ε < 1) :

    A zero-free quadratic cross-zero rectangle gives a holomorphic Perron integrand on the narrower variable-right rectangle.

    theorem AnalyticNumberTheory.LargeSieve.dirichletLTwistedSmoothedPerron_quadraticConditionalFiniteContourIdentity {q : } [NeZero q] (χ : DirichletCharacter q) {A A₀ c η T : } (hAA₀ : A A₀) (hA : 0 < A) (hc : 0 < c) ( : 0 < η) (hT : 0 < T) ( : χ 1) (hw : 0 < dirichletLQuadraticConditionalCrossZeroWidth A c η q T) (hw2 : dirichletLQuadraticConditionalCrossZeroWidth A c η q T 1 / 2) (hwidthle : dirichletLQuadraticConditionalCrossZeroWidth A c η q T dirichletLQuadraticConditionalCrossZeroWidth A₀ c η q T) (hzero : sdirichletLQuadraticConditionalCrossZeroRectangle A₀ c η q T, DirichletCharacter.LFunction χ s 0) {ν : } (diffν : ContDiff 1 ν) (νpos : x > 0, 0 ν x) (suppν : Function.support νSet.Icc (1 / 2) 2) (mass_one : (x : ) in Set.Ioi 0, ν x / x = 1) {X ε : } (hX : 0 < X) ( : 0 < ε) (hε1 : ε < 1) :

    Exact finite contour shift for the quadratic conditional rectangle.

    Raw Landau--Siegel data select one positive quadratic contour width, after which every primitive/nonprincipal quadratic character admits the exact finite Perron shift. Unlike the old contour theorem this has no χ² ≠ 1 premise.