A Spherical N-Series Area Law for Regular Refinement Families

This paper presents numerical evidence for an even-power area-error law in regular, scale-consistent spherical refinement families. Across four regular refinement families, the observed asymptotic convergence sequence follows the pattern 2→4→6→82 \\to 4 \\to 6 \\to 8 under successive Richardson–Romberg scale cancellation. The study also examines perturbed refinement families to identify the boundary at which the regular even-power structure degrades. Exact conditional scale-cancellation and moment identities are established, while the general spherical even-power area law itself is presented as a conjectural structural principle supported by the numerical experiments. The accompanying repository contains the manuscript, numerical scripts, reproducibility documentation, and generated verification outputs.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-17
DOI
https://doi.org/10.5281/zenodo.22820180
Primary Topic
Numerical methods in engineering
Type
preprint
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preprint

A Spherical N-Series Area Law for Regular Refinement Families

C. Wayne Baker
Zenodo (CERN European Organization for Nuclear Research)
Numerical methods in engineering
preprint

A Spherical N-Series Area Law for Regular Refinement Families

C. Wayne Baker
preprint en

Abstract

This paper presents numerical evidence for an even-power area-error law in regular, scale-consistent spherical refinement families. Across four regular refinement families, the observed asymptotic convergence sequence follows the pattern 2→4→6→82 \to 4 \to 6 \to 8 under successive Richardson–Romberg scale cancellation. The study also examines perturbed refinement families to identify the boundary at which the regular even-power structure degrades. Exact conditional scale-cancellation and moment identities are established, while the general spherical even-power area law itself is presented as a conjectural structural principle supported by the numerical experiments. The accompanying repository contains the manuscript, numerical scripts, reproducibility documentation, and generated verification outputs.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Numerical methods in engineering
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