Alphabeta Math
LemmaStatement: AI-adaptedProof: AI-adaptedPipeline-generatedprecheck passverified 2026-09-24 (gpt-6-sol)
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  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
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Zeta reciprocal zero sum bound

Statement

Assume countable choice.

For T≥2, the sum of 1/∣ρ∣ over nontrivial zeros with 0<∣Im⁡ρ∣≤T is O(log⁡2T), with multiplicity. Adjoining any real nontrivial zeros preserves the estimate.

Facts & Assumptions

Given: Countable choice and the data and hypotheses of the statement.

[F1]

A unit-interval bound for zeta zeros: The number of nontrivial zeta zeros, with multiplicity, whose ordinates lie in [T,T+1] is O(log⁡(T+2)) for T≥0.

[F2]

The Riemann zeta zero-counting function: For T>0, N(T) is the number, with multiplicity, of nontrivial zeros ρ=β+iγ of the meromorphic continuation of zeta satisfying 0<γ≤T. Thus a zero on the top boundary is included.

[F3]

The Riemann xi function has its genus-one Hadamard product over the nontrivial zeros of zeta: There exist constants A,B∈C such that ξ(s)=eA+Bs∏ρE1(s/ρ), where the product runs over the nontrivial zeros ρ of ζ, counted with multiplicity, and E1(w)=(1−w)ew. The product converges in the genus-one canonical sense.

Proof

1.1F3

Under countable choice, the supplied xi product ensures nontrivial zeros have no accumulation in a compact subset of the plane. The finitely many with ∣Im⁡ρ∣≤1 have nonzero denominator: the product for xi has no zero at zero, and its factors have exactly the nontrivial zeros. Their reciprocal sum is a fixed finite constant.

2.1F1F2step 1.1∎

For each integer n≥1, zeros with n≤∣Im⁡ρ∣≤n+1 each contribute at most 1/n. The count in either band is O(log⁡(n+2)); the negative band follows from ζ(s‾)=ζ(s)‾, first on its defining half-plane and then by continuation. Therefore the remaining sum is at most C∑n≤Tlog⁡(n+2)/n=O(log⁡2T). Endpoint overlap only increases this upper bound.

Depends on

Used by

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Sources