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Transport of a von Mangoldt partial-sum approximation to a neighboring frequency

Proved
Vino.vmSum_arc_error_bound

by jjosh · Sep 13, 2026 · Mathlib 0df444a (Lean v4.33.1)

analytic-number-theorycircle-methodexponential-sumsgoldbach

Write S(α,K)=∑n<KΛ(n)e(αn)S(\alpha,K)=\sum_{n<K}\Lambda(n)e(\alpha n)S(α,K)=∑n<K​Λ(n)e(αn) and DN(β)=∑n<Ne(βn)D_N(\beta)=\sum_{n<N}e(\beta n)DN​(β)=∑n<N​e(βn), with e(t)=exp⁡(2πit)e(t)=\exp(2\pi i t)e(t)=exp(2πit). Let α,β∈R\alpha,\beta\in\mathbb Rα,β∈R, c∈Cc\in\mathbb Cc∈C, N≥0N\ge0N≥0 an integer, and E≥0E\ge0E≥0. If

∣S(α,K)−cK∣≤E(0≤K≤N),|S(\alpha,K)-cK|\le E\qquad(0\le K\le N),∣S(α,K)−cK∣≤E(0≤K≤N),

then

∣S(α+β,N)−cDN(β)∣≤(1+2πN∣β∣)E.|S(\alpha+\beta,N)-cD_N(\beta)|\le(1+2\pi N|\beta|)E.∣S(α+β,N)−cDN​(β)∣≤(1+2πN∣β∣)E.

In particular, taking α=a/q\alpha=a/qα=a/q and c=μ(q)/φ(q)c=\mu(q)/\varphi(q)c=μ(q)/φ(q) converts a rational-point approximation valid at every initial length into a major-arc approximation. The theorem does not assume that such an error bound is small, and it also applies to arbitrary real base frequencies and complex coefficients ccc.

Preamble
import Mathlib
import Definitions.Def_CircleMethod_char
import Definitions.Def_Vino_primes
Formal statement
theorem Vino.vmSum_arc_error_bound (α β : ℝ) (c : ℂ) (N : ℕ) (E : ℝ)
    (hE : 0 ≤ E)
    (hpartial : ∀ K : ℕ, K ≤ N → ‖Vino.vmSum α K - c * (K : ℂ)‖ ≤ E) :
    ‖Vino.vmSum (α + β) N
        - c * ∑ n ∈ Finset.range N, CircleMethod.e (β * (n : ℝ))‖
      ≤ (1 + 2 * Real.pi * (N : ℝ) * |β|) * E := by sorry
Source
Finite Abel-summation corollary proved in the submitted solution, using Mathlib Finset.sum_range_by_parts and the elementary variation bound for exp(2*pi*i*t). Circle-method context: R. C. Vaughan, The Hardy-Littlewood Method, 2nd ed., Chapter 3, Section 3.1. The explicit interface is an original formalization, not an assertion of an effective prime-number-theorem error estimate.

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