Fast Algorithm for Riemann Theta Functions via S(2,2) Decomposition

The Riemann theta function is a fundamental special function in mathematical physics, algebraic geometry, and complex analysis. However, its numerical evaluation is notoriously difficult as the computational complexity increases exponentially with the genus g ($O(b^g)$). Traditional direct summation methods typically reach their practical limit around g≈10. RLD_theta_engine.jl is an open-source Julia implementation that leverages known addition formulas for period matrices with an S(2,2) locus (block-diagonal structure). By implementing "Recursive Log-Decomposition," this engine breaks the exponential barrier and enables exact evaluations in ultra-high-dimensional regimes exceeding g=20,000 in seconds.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-27
DOI
https://doi.org/10.5281/zenodo.19821521
Primary Topic
Polynomial and algebraic computation
Type
article
Field-Weighted Citation Impact
0.00
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article

Fast Algorithm for Riemann Theta Functions via S(2,2) Decomposition

Moriya,a, Masaru
Zenodo (CERN European Organization for Nuclear Research)
Polynomial and algebraic computation
article

Fast Algorithm for Riemann Theta Functions via S(2,2) Decomposition

Moriya,a, Masaru
article en

Abstract

The Riemann theta function is a fundamental special function in mathematical physics, algebraic geometry, and complex analysis. However, its numerical evaluation is notoriously difficult as the computational complexity increases exponentially with the genus g ($O(b^g)$). Traditional direct summation methods typically reach their practical limit around g≈10. RLD_theta_engine.jl is an open-source Julia implementation that leverages known addition formulas for period matrices with an S(2,2) locus (block-diagonal structure). By implementing "Recursive Log-Decomposition," this engine breaks the exponential barrier and enables exact evaluations in ultra-high-dimensional regimes exceeding g=20,000 in seconds.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 4%
Polynomial and algebraic computation
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