Leue Modulation Coefficients (LMC): A Smooth Continuum Embedding of Bounded Arithmetic Data
收藏DataCite Commons2025-11-30 更新2026-02-09 收录
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https://figshare.com/articles/dataset/Leue_Modulation_Coefficients_LMC_A_Smooth_Continuum_Embedding_of_Bounded_Arithmetic_Data/30741716
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This repository contains a complete and self-contained presentation of the Leue Modulation Coefficients (LMC), a bounded arithmetic sequence derived from the local trace of an elliptic curve. The main purpose of the project is to construct a smooth, globally defined modulation field from discretely sampled LMC data and to study its effect on elliptic differential operators.
The included research paper develops a continuum model in which the discrete LMC values are embedded into a smooth field using compactly supported mollifiers. The resulting field is uniformly bounded, infinitely differentiable, and suitable for use as a coefficient modulation in elliptic and parabolic partial differential equations.
A conductivity model derived from the LMC field is introduced, together with energy estimates and analytic stability properties. The paper also contains a fully reproducible numerical example.
This Zenodo package includes:
the full research paper (PDF),
a complete Python implementation generating the LMC field and conductivity model,
a numerical plot comparing discrete LMC values with the smoothed continuum field,
a cover letter and supporting documentation.
The project provides a modular and reproducible framework for embedding bounded arithmetic data into analytic continuum models. It is intended as a basis for further research in multiscale analysis, smoothed arithmetic modulation, and PDE coefficient modelling.
提供机构:
figshare
创建时间:
2025-11-29



