Estimation of Condition Number of Quasi-Static Darwin Model

This study discusses the estimation of the condition number of the quasi-static Darwin model, which is shown to be a nearly singular system of equations with a large kernel derived from the gauge invariance of full Maxwell’s equations. Inequality evaluations for a minimum nonzero singular value, maximum singular value, and condition number for a nearly singular system of equations and its augmented system are provided. This discussion reveals the nearly singular nature of the Darwin model and proves the effectiveness of the augmented system method for solving the Darwin model.

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Publication Details

Journal
IEEE Transactions on Magnetics
Published
2024-09-19
DOI
https://doi.org/10.1109/tmag.2024.3464113
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Estimation of Condition Number of Quasi-Static Darwin Model

Tetsuji Matsuo, Takeshi Mifune, Shingo Hiruma
IEEE Transactions on Magnetics
Computational Physics and Python Applications
article

Estimation of Condition Number of Quasi-Static Darwin Model

Tetsuji Matsuo, Takeshi Mifune, Shingo Hiruma
article en

Abstract

This study discusses the estimation of the condition number of the quasi-static Darwin model, which is shown to be a nearly singular system of equations with a large kernel derived from the gauge invariance of full Maxwell’s equations. Inequality evaluations for a minimum nonzero singular value, maximum singular value, and condition number for a nearly singular system of equations and its augmented system are provided. This discussion reveals the nearly singular nature of the Darwin model and proves the effectiveness of the augmented system method for solving the Darwin model.

IEEE Transactions on MagneticsVol. 60(12)
Kyoto University (JP)
Japan Society for the Promotion of Science
Reduced inequalities
Openalex Percentile: Top 86%
Computational Physics and Python Applications
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