OAI/NumberTheory/JointDickman/Amplification/CandidateRepeatConditional.lean

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Conditional union over all candidates of an exposed endpoint pair

  1. theorem OAI.JointDickman.pairRepeatEvent_conditional_bound line 14

    Source documentation

    There are at most B squared local candidates after both endpoints are exposed, so their third-site probabilities remain negligible.

    theorem pairRepeatEvent_conditional_bound {L : ℕ} (hL : 1 ≤ L) {τ : ℝ}
        (hτ : 0 ≤ τ) (hτsmall : τ ≤ samplingTau) :
        ∀ᶠ B : ℕ in atTop, ∀ (C : ℝ) (T H M : ℕ), 0 < T → ∀ (i k : Fin M),
          ∀ a : ({i,k} : Finset (Fin M)) → (auxiliaryPrimes B).powerset,
          finiteProbability (siteProductMass
            (fun _ : {s : Fin M // s ∉ ({i,k} : Finset (Fin M))} => independentPrimeSetMass B))
            (fun b => PairRepeatEvent B L T H M τ C i k
              (fun s => (mergeSitePartition {i,k} a b s).val)) ≤
            (B : ℝ)^2*(M : ℝ)/((T : ℝ)*Real.exp B) := by
    …

    Mentions: OAI.JointDickman.samplingTau, OAI.JointDickman.auxiliaryPrimes, OAI.JointDickman.finiteProbability, OAI.JointDickman.independentPrimeSetMass, OAI.JointDickman.PairRepeatEvent, OAI.JointDickman.mergeSitePartition