A Coherence-Driven Spectral Method for High-Precision Computation of Riemann Zeta Zeros (LUSTRO: Local Unitary Spectrum Through Relational Optimization)

LUSTRO: A Coherence-Driven Spectral Method for High-Precision Computation of Riemann Zeta Zeros LUSTRO (Local Unitary Spectrum Through Relational Optimization) is a novel algorithm for computing zeros of the Riemann zeta function on the critical line Re(s) = 1/2 with arbitrary precision. Key results: Computes the first nontrivial Riemann zero ρ₁ = 1/2 + i·14.134725... to 1512 verified digits in 104 seconds Sub-quadratic scaling O(d^1.7) in digit count Validated against OEIS A058303 and Odlyzko's tables Package contents: Full paper (LaTeX source + PDF) Python implementation with gmpy2/mpmath backends Complete 1512-digit result with convergence data The method combines the Riemann-Siegel formula for efficient Z(t) evaluation with coherence-based Newton iteration and adaptive precision scaling.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-26
DOI
https://doi.org/10.5281/zenodo.17722638
Primary Topic
Analytic Number Theory Research
Type
article
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article

A Coherence-Driven Spectral Method for High-Precision Computation of Riemann Zeta Zeros (LUSTRO: Local Unitary Spectrum Through Relational Optimization)

Zenodo (CERN European Organization for Nuclear Research)
Analytic Number Theory Research
article

A Coherence-Driven Spectral Method for High-Precision Computation of Riemann Zeta Zeros (LUSTRO: Local Unitary Spectrum Through Relational Optimization)

article en

Abstract

LUSTRO: A Coherence-Driven Spectral Method for High-Precision Computation of Riemann Zeta Zeros LUSTRO (Local Unitary Spectrum Through Relational Optimization) is a novel algorithm for computing zeros of the Riemann zeta function on the critical line Re(s) = 1/2 with arbitrary precision. Key results: Computes the first nontrivial Riemann zero ρ₁ = 1/2 + i·14.134725... to 1512 verified digits in 104 seconds Sub-quadratic scaling O(d^1.7) in digit count Validated against OEIS A058303 and Odlyzko's tables Package contents: Full paper (LaTeX source + PDF) Python implementation with gmpy2/mpmath backends Complete 1512-digit result with convergence data The method combines the Riemann-Siegel formula for efficient Z(t) evaluation with coherence-based Newton iteration and adaptive precision scaling.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 25%
Analytic Number Theory Research
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