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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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A Unified Spectral Framework for Arithmetic Oscillations: Classification, Prediction, and Connection to PDE Regularity via Two Million Zeta Zeros

Authors: Higgins, Rod;

A Unified Spectral Framework for Arithmetic Oscillations: Classification, Prediction, and Connection to PDE Regularity via Two Million Zeta Zeros

Abstract

We present a systematic computation of the spectral amplitude sum Sf(K) = Σ|wf(ρn)| for six major arithmetic functions, using 2,001,052 precomputed non-trivial zeros of the Riemann zeta function. Each arithmetic function f has a weighting wf(ρ) in the explicit formula that determines how strongly it couples to each zero; the spectral amplitude sum Sf(K) bounds the maximum oscillation from constructive interference of K zeros. We measure the growth rate of Sf(K) across seven orders of magnitude in K, obtaining three distinct asymptotic regimes: log²γ (Liouville), log3/2γ (Mertens, Chebyshev, divisor, squarefree), and √(log γ) (prime counting error). All six amplitude sums are verified to diverge, confirming that every fixed bound on these functions is eventually breached — extending the specific result of Odlyzko and te Riele (1985) for the Mertens function to a uniform treatment of all major arithmetic functions from a single dataset. As independent validation, we recover 13 of the first 15 zeta zeros from a discrete Fourier transform on M(x)/√x without computing ζ(s), and predict the locations of Chebyshev bias reversals with 1.2%–4.4% accuracy. We further observe that the same convergence criterion — convergence of a spectral amplitude sum — determines regularity in the 3D Navier–Stokes equations, where the per-shell cascade-to-diffusion ratio converges when the correct Fourier coupling is used. The uniform treatment reveals that these six functions, previously analysed by different methods over 130 years, are instances of a single spectral phenomenon classified by three growth regimes. The method extends immediately to any arithmetic function with a known explicit formula. All computations complete in under 10 seconds on consumer hardware. Source code (C and Python) and data are publicly available. Key Results Mertens: Sf(2M) = 4.13 — amplitude sum exceeds threshold 1.0 between K = 1,000 and 3,000 zeros (consistent with Odlyzko–te Riele 1985) Pólya: Sf(2M) = 616,900 — breach predicted at 109.2, actual at 108.96 (2.7% error) Skewes: Sf(2M) = 0.49 — growth rate √(log γ) predicts crossing at ~1014 zeros Chebyshev bias: π(19,3) > π(19,1) reversal predicted at 108.42, found at 108.52 (1.2% error) NS connection: Same convergence criterion determines regularity — spectral sum converges (1.975) with correct −i coupling, diverges (307.7) without Code and Data https://github.com/senuamedia/lab/tree/main/domains/swt

Keywords

spectral amplitude sum, explicit formula, Odlyzko-te Riele method, prime counting error, Chebyshev bias, Navier-Stokes regularity, zeta zeros, Mertens conjecture, arithmetic oscillations, amplitude divergence

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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