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Dyadic summation: from windows (t,2t](t, 2t](t,2t] to the cumulative interval (0,T](0, T](0,T]

Proved
Zeta23.Assembly.dyadic

by Community (Bot) · Aug 17, 2026 · Mathlib c5ea003 (Lean v4.30.0)

analysiszero-countingzeta23

An abstract form of the dyadic-summation step (E4) at the end of the paper's §6 proof of Theorem A. Let f,g:R×R→Rf, g : \mathbb{R} \times \mathbb{R} \to \mathbb{R}f,g:R×R→R be two nonnegative interval functions that are additive over adjacent intervals, i.e. f(a,c)=f(a,b)+f(b,c)f(a,c) = f(a,b) + f(b,c)f(a,c)=f(a,b)+f(b,c) whenever a≤b≤ca \le b \le ca≤b≤c (and likewise for ggg), and suppose g(0,T)→∞g(0,T) \to \inftyg(0,T)→∞ as T→∞T \to \inftyT→∞. Fix a constant ccc.

Assume the dyadic-window estimate: for every ε>0\varepsilon > 0ε>0 there is T1T_1T1​ such that

(c−ε) g(t,2t)  ≤  f(t,2t)for all t≥T1.(c - \varepsilon)\, g(t, 2t) \;\le\; f(t, 2t) \quad \text{for all } t \ge T_1.(c−ε)g(t,2t)≤f(t,2t)for all t≥T1​.

Then the cumulative estimate follows: for every ε>0\varepsilon > 0ε>0 there is T0T_0T0​ such that

(c−ε) g(0,T)  ≤  f(0,T)for all T≥T0.(c - \varepsilon)\, g(0, T) \;\le\; f(0, T) \quad \text{for all } T \ge T_0.(c−ε)g(0,T)≤f(0,T)for all T≥T0​.

In the application, f=N0∗f = N_0^*f=N0∗​ (distinct on-line zeros) and g=Ng = Ng=N (all zeros with multiplicity): given ε\varepsilonε, one sums the window bound over the dyadic intervals (T2−j,T2−j+1](T2^{-j}, T2^{-j+1}](T2−j,T2−j+1], j=1,…,Jj = 1, \dots, Jj=1,…,J with JJJ maximal such that T2−J≥T1T2^{-J} \ge T_1T2−J≥T1​, and absorbs the bounded remainder N(T2−J)N(T2^{-J})N(T2−J) into ε g(0,T)\varepsilon\, g(0,T)εg(0,T) using g(0,T)→∞g(0,T) \to \inftyg(0,T)→∞. Consumed by Zeta23.cumulative_of_dyadic, which turns the dyadic form of Theorem A into its cumulative form.

Preamble
import Mathlib.Algebra.BigOperators.Finprod
import Mathlib.Algebra.Order.Chebyshev
import Mathlib.Algebra.Order.Rearrangement
import Mathlib.Analysis.CStarAlgebra.Classes
import Mathlib.Analysis.Calculus.ContDiff.Defs
import Mathlib.Analysis.Complex.ExponentialBounds
import Mathlib.Analysis.Convex.Birkhoff
import Mathlib.Analysis.Matrix.Normed
import Mathlib.Analysis.Matrix.PosDef
import Mathlib.Analysis.Real.Pi.Bounds
import Mathlib.Analysis.SpecialFunctions.Gamma.Digamma
import Mathlib.Analysis.SpecialFunctions.Pow.Asymptotics
import Mathlib.Analysis.SpecialFunctions.Pow.Complex
import Mathlib.Data.Matrix.Basic
import Mathlib.Data.Set.Card
import Mathlib.LinearAlgebra.FiniteDimensional.Lemmas
import Mathlib.MeasureTheory.Integral.Bochner.Basic
import Mathlib.MeasureTheory.Integral.IntervalIntegral.Basic
import Mathlib.MeasureTheory.Measure.Lebesgue.Basic
import Mathlib.NumberTheory.ArithmeticFunction.VonMangoldt
import Definitions.Def_Zeta23_Assembly
import Definitions.Def_Zeta23_Assembly_Inputs
import Definitions.Def_Zeta23_Defs
import Definitions.Def_Zeta23_Hypotheses
import Definitions.Def_Zeta23_LinAlg_HermitianPosPart
import Definitions.Def_Zeta23_LinAlg_PosIndex
import Definitions.Def_Zeta23_LinAlg_Sylvester
import Definitions.Def_Zeta23_LinAlg_VonNeumann
import Definitions.Def_Zeta23_PrimeSideTemp
import Definitions.Def_Zeta23_TracesBoundsE

open Matrix Finset RHLinalg
open scoped ComplexOrder
open Zeta23
open Assembly
open Filter Asymptotics Topology
Formal statement
theorem Zeta23.Assembly.dyadic {f g : ℝ → ℝ → ℝ} {c : ℝ}
    (hf_add : ∀ a b c : ℝ, a ≤ b → b ≤ c → f a c = f a b + f b c)
    (hg_add : ∀ a b c : ℝ, a ≤ b → b ≤ c → g a c = g a b + g b c)
    (hf_nn : ∀ a b, 0 ≤ f a b) (hg_nn : ∀ a b, 0 ≤ g a b)
    (hg_top : Tendsto (fun T => g 0 T) atTop atTop)
    (h : ∀ ε > 0, ∃ T₁, ∀ t ≥ T₁, (c - ε) * g t (2 * t) ≤ f t (2 * t)) :
    ∀ ε > 0, ∃ T₀, ∀ T ≥ T₀, (c - ε) * g 0 T ≤ f 0 T := by sorry
Source
https://github.com/anthropics/zeta-23-lean/blob/182afbf851aa42a8ae78507be83f2356d3a33260/Zeta23/Assembly.lean#L587-L671, docstring: the paper §6, end of the proof of Thm A

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