Exact Riemann Theta Function Evaluation at Ultra-High Genus via S(k,k) Block-Diagonal Factorization: Implementation and Benchmark
Authors/Creators
Description
We report a computational study of Riemann theta function evaluation under S(k,k)-type block-diagonal constraints on the period matrix. The factorization identity underlying this method follows directly from the definition and is algebraically exact; no independent error analysis is required beyond floating-point rounding. This enables exact reference values at genus g > 20,000 within this structural class, a regime where existing methods — tensor-train approximations (Chimmalgi–Wahls 2023, g ~ 60, relative error ~0.01) and the FLINT library (Elkies–Kieffer 2025, certified precision for general period matrices) — do not provide exact benchmarks.
A central observation, which we do not consider obvious, is that approximation error under off-diagonal perturbation decreases as genus increases, with sharp transition-like convergence depending on the combination of Ω and g. This behavior — falling more than 15 orders of magnitude below CLT-based worst-case predictions — suggests a strong cancellation mechanism intrinsic to the lattice structure, whose theoretical explanation remains open. The minimum eigenvalue λ_min of Im(Ω) emerges as the dominant practical predictor of approximation accuracy.
Each base k yields a nearly disjoint series of exactly computable genera (2ⁿ, 3ⁿ, 5ⁿ, …), forming a structured benchmark dataset across a wide range of g. This provides exact reference values for validating approximation methods in high-dimensional theta function research, with natural applications in integrable systems and Hitchin systems where S(k,k) structure arises geometrically. The present method and FLINT are complementary: FLINT targets certified precision for general Ω; this method targets exact computation within specific structural classes at ultra-high genus.
A supporting implementation, including a browser-based demonstration up to g = 64 solitons, is publicly available.
Files
Exploiting Block-Diagonal Structure in High-Dimensional Riemann Theta Function Computation.pdf
Files
(4.2 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:7443f0314f5813705bf947af53f75679
|
1.4 MB | Preview Download |
|
md5:987ecf692c685d2ef31fe3d3c4ad9c8f
|
2.8 MB | Preview Download |
Additional details
Identifiers
Related works
- Is supplemented by
- Software: https://moriyamax.github.io/s22-theta-acceleration/ (URL)
Dates
- Updated
-
2026-04-29