claimroutineinferred_dep

Uniform upper sieve on affine fibers

Bounds lattice points on an affine fiber with prime values by X2/(log⁡X)t−1X^2/(\log X)^{t-1}
uniform count of bad configurations
Claim·§6.6 A uniform sieve on each affine fiber·inside lemPrime patterns with controlled reduction orders

Statement (paper)

For each form index ν\nu and each prime value r≍AXr\asymp_A X of the ν\nuth form, the number of T∈XB∩Z3T\in X\mathcal B\cap\Z^3 with Fν(T)=ϵνkνrF_\nu(T)=\epsilon_\nu k_\nu r for which all other Ψj(T)\Psi_j(T) are primes is ≪AX2/(log⁡X)t−1\ll_A X^2/(\log X)^{t-1}, uniformly in rr and independently of LL.

In plain English

Fix a form index ν\nu and a prime value r≍AXr\asymp_A X of the ν\nuth form. The number of T∈XB∩Z3T\in X\mathcal B\cap\Z^3 with Fν(T)=ϵνkνrF_\nu(T)=\epsilon_\nu k_\nu r for which all the other Ψj(T)\Psi_j(T) are prime is ≪AX2/(log⁡X)t−1\ll_A X^2/(\log X)^{t-1}, uniformly in rr and independently of LL.

Why it's here

The condition Fν(T)=ϵνkνrF_\nu(T)=\epsilon_\nu k_\nu r cuts out a two-dimensional affine fibre of lattice points. The upper sieve (Lemma 6.3) is applied on that fibre to the other t−1t-1 forms, and the lower bound on G(Z)G(Z) turns its main term into X2/(log⁡X)t−1X^2/(\log X)^{t-1}. The bound is uniform in rr and independent of LL, so the later claims can sum it over prime values rr to bound the number of bad configurations without any dependence on LL.
Classified routine:
Direct application of the paper's elementary upper sieve (Lemma 6.3) on a two-dimensional affine fibre, combined with the lower bound for G(Z) from the earlier claim; this is a standard Selberg/Brun-type upper-bound sieve argument.

Sources

PaperOpen
Section
§6.6 A uniform sieve on each affine fiber
Page
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Label
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sections/06-primes.tex:615
Leannot aligned

Phase 2 aligns this node to a Lean declaration.

Friction

  • info
    inferred_dep
    outline: "Uniform upper sieve on affine fibers" rests on pri:upper-sieve
  • info
    inferred_dep
    outline: "Uniform upper sieve on affine fibers" rests on claim-pri-pattern-4