A Scaling-Cancellation Principle for Chord-Based Geometric Approximations

This paper develops a Richardson-type scaling-cancellation framework for chord-based geometric approximations with even-power asymptotic expansions. It proves the two-scale cancellation theorem, derives the unique multi-scale Lagrange weights, gives the surviving-error law for geometric scale nodes, and records the equivalent recursive fixed-base extrapolation ladder. Applications include polygonal approximation of pi and an explicitly cited ellipse-factorization input. The paper also distinguishes fixed-resolution order improvement from the nonlinear proportional-subtended cubic residual law for approximate angle division.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-11
DOI
https://doi.org/10.5281/zenodo.22714586
Primary Topic
Advanced Numerical Analysis Techniques
Type
preprint
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preprint

A Scaling-Cancellation Principle for Chord-Based Geometric Approximations

C. Wayne Baker
Zenodo (CERN European Organization for Nuclear Research)
Advanced Numerical Analysis Techniques
preprint

A Scaling-Cancellation Principle for Chord-Based Geometric Approximations

C. Wayne Baker
preprint en

Abstract

This paper develops a Richardson-type scaling-cancellation framework for chord-based geometric approximations with even-power asymptotic expansions. It proves the two-scale cancellation theorem, derives the unique multi-scale Lagrange weights, gives the surviving-error law for geometric scale nodes, and records the equivalent recursive fixed-base extrapolation ladder. Applications include polygonal approximation of pi and an explicitly cited ellipse-factorization input. The paper also distinguishes fixed-resolution order improvement from the nonlinear proportional-subtended cubic residual law for approximate angle division.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Advanced Numerical Analysis Techniques
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