The Method of Zero Tangential Strengths in the Problem of Charge Distribution over the Surfaces of Two Interacting Tori

In this paper, a system of two circular concentric non-touching tori is considered. An electrostatic charge can be applied to each of the tori. The problem is to find the density of charge distribution over the surfaces of the tori, taking into account the Coulomb interaction between the surfaces. The required density is found numerically by the method of successive approximations based on the fact that in the static case, the total tangential strength of the Coulomb forces is zero at each of the points on the surface of each of the tori. The corresponding functional is constructed, the problem of numerical minimization of which is solved by the gradient descent method.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-10-01
DOI
https://doi.org/10.22055/jacm.2025.48138.5009
Citations
1
Primary Topic
Advanced Mathematical Modeling in Engineering
Type
article
Field-Weighted Citation Impact
1.50
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article

The Method of Zero Tangential Strengths in the Problem of Charge Distribution over the Surfaces of Two Interacting Tori

1 citations
SHILAP Revista de lepidopterología
Advanced Mathematical Modeling in Engineering
1.50
article

The Method of Zero Tangential Strengths in the Problem of Charge Distribution over the Surfaces of Two Interacting Tori

article en
1 citations

Abstract

In this paper, a system of two circular concentric non-touching tori is considered. An electrostatic charge can be applied to each of the tori. The problem is to find the density of charge distribution over the surfaces of the tori, taking into account the Coulomb interaction between the surfaces. The required density is found numerically by the method of successive approximations based on the fact that in the static case, the total tangential strength of the Coulomb forces is zero at each of the points on the surface of each of the tori. The corresponding functional is constructed, the problem of numerical minimization of which is solved by the gradient descent method.

SHILAP Revista de lepidopterología
St Petersburg University (RU)
Openalex Percentile: Top 11%
Advanced Mathematical Modeling in Engineering
1.50
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