Answers are grounded in this paper and cite their sources.
Ramanujan-Type π Acceleration and the N-Series Geometric Constant πg — v1.1 Author: C. Wayne BakerVersion: 1.1Date: November 2, 2026Research type: Expository mathematical preprint Abstract This paper presents a structural comparison between Ramanujan-type acceleration formulas for π and the N-Series geometric approximation framework. While Ramanujan's classical formulas achieve exceptionally rapid convergence through modular equations, elliptic integrals, and hypergeometric identities, the N-Series framework accelerates constructible polygonal approximations through systematic cancellation of successive even-power error terms. Beginning with the regular inscribed polygon approximation [P_N=Nsin(π/N),] the paper develops two-scale and three-scale extrapolation operators that eliminate the leading asymptotic error terms. These yield convergence orders of (O(N⁻²)), (O(N⁻⁴)), and (O(N⁻⁶)) for the raw, two-scale, and three-scale approximations, respectively. Independent high-precision numerical calculations reproduce the predicted convergence orders. Version 1.1 adds a quantitative comparison with Ramanujan's classical series for (1/π). The ratio of successive summands approaches (1/99^4), corresponding to approximately 7.98 decimal digits of asymptotic improvement per additional term. This convergence mechanism is distinguished explicitly from geometric N-Series extrapolation, whose convergence orders describe increasing polygonal resolution rather than digits gained per series term. The geometrically defined constant (π_g) is shown to equal the classical constant (π). The construction does not introduce a new numerical constant, a new modular identity, or a method that computationally outperforms Ramanujan's series. The contribution is an expository synthesis of two distinct mathematical acceleration mechanisms: modular-hypergeometric convergence and geometric scale cancellation. Reproducibility The accompanying archive contains the revised manuscript, LaTeX source, Python verification script, numerical results, reproducibility documentation, citation metadata, and SHA-256 checksums. The numerical experiments use arbitrary-precision arithmetic to verify the predicted convergence orders. Source repository: https://github.com/CWBaker360/ramanujan-pi-nseries-geometric-constant Research status: Independently reproduced numerical results; mathematical arguments presented for scholarly review. No claim of independent external peer review is made.
No takes yet. Share an insight, caveat, or question.
C. Wayne Baker (2026) studied this question.
Synapse has enriched 8 closely related papers on similar clinical questions. Consider them for comparative context: