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MathlibNt.AnalyticNumberTheory.Vaughan.VaughanTypeIIPrimitiveBilinear

Primitive-character bilinear large sieve for Vaughan Type II rectangles #

The inner e,m packet is first collected by the product t=e*m. Its coefficient is independent of the character, so the weighted primitive Bombieri--Davenport inequality can be applied for each outer d. Cauchy is used only in d; no coefficient is ever repackaged and squared by n=d*e*m.

The character-free tensor coefficient obtained by collecting all pairs (e,m) in the inner packet with product t=e*m.

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    Raw coefficient energy in the outer variable.

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      noncomputable def AnalyticNumberTheory.LargeSieve.vaughanBilinearTensorEnergy (β c : ) (y : ) (DS ES : Finset ) :

      The consumable tensor energy after the second (e,m → t) rearrangement.

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        noncomputable def AnalyticNumberTheory.LargeSieve.vaughanBilinearBlockOn (α β c : ) (y : ) (DS ES : Finset ) (q : ) (χ : PrimitiveCharacter q) :

        A bilinear rectangle over arbitrary positive finite d and e supports.

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          theorem AnalyticNumberTheory.LargeSieve.vaughanBilinearInner_eq_tensor (β c : ) (y d : ) (ES : Finset ) (q : ) (χ : PrimitiveCharacter q) (hd : 0 < d) (hES : eES, 0 < e) :
          eES, β e * χ e * mFinset.Icc 1 (y / (d * e)), c (d * e * m) * χ m = tFinset.Icc 1 y, vaughanBilinearTensorCoeff β c y d ES t * χ t

          Exact second rearrangement of the inner packet. The right-hand coefficients contain no occurrence of χ.

          theorem AnalyticNumberTheory.LargeSieve.vaughanBilinearBlockOn_eq_tensor (α β c : ) (y : ) (DS ES : Finset ) (q : ) (χ : PrimitiveCharacter q) (hDS : dDS, 0 < d) (hES : eES, 0 < e) :
          vaughanBilinearBlockOn α β c y DS ES q χ = dDS, α d * χ d * tFinset.Icc 1 y, vaughanBilinearTensorCoeff β c y d ES t * χ t

          Whole-block tensor form, obtained before any analytic estimate.

          The primitive-character large-sieve constant at physical packet length y and conductor cap Q.

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            Expanded physical constant inherited from the reduced-Farey large sieve.

            theorem AnalyticNumberTheory.LargeSieve.vaughanBilinearBlockOn_norm_sq_le (α β c : ) (y : ) (DS ES : Finset ) (q : ) (χ : PrimitiveCharacter q) (hDS : dDS, 0 < d) (hES : eES, 0 < e) :
            vaughanBilinearBlockOn α β c y DS ES q χ ^ 2 vaughanBilinearCoeffEnergy α DS * dDS, tFinset.Icc 1 y, vaughanBilinearTensorCoeff β c y d ES t * χ t ^ 2

            Cauchy only in the outer variable, after the packet has become a genuine one-variable character sum.

            theorem AnalyticNumberTheory.LargeSieve.weighted_primitive_vaughanBilinearBlockOn (α β c : ) (y Q : ) (DS ES : Finset ) (hQ : 0 < Q) (hDS : dDS, 0 < d) (hES : eES, 0 < e) :

            Weighted primitive-character bilinear large sieve over a finite positive rectangle. The two energies are kept separate: the raw d-coefficient energy and the character-free (d,t) tensor energy.

            Dyadic specialization. The parameters D,E,y,Q remain literal and the coefficient energies are not replaced by pointwise cardinality bounds.

            Fully expanded dyadic form: all four physical parameters D,E,y,Q and both coefficient energies remain visible.