The Use of Geometric Quantities in the Tensor Description of a Euclidean Space
Pavel Grinfeld

TL;DR
This paper introduces a tensor-based framework for Euclidean spaces that highlights geometric vectors and proves integral identities involving vector integrands, enhancing the mathematical tools available for geometric analysis.
Contribution
It presents a novel tensor description emphasizing geometric vectors and demonstrates its effectiveness through proving integral identities.
Findings
Effective tensor framework for Euclidean spaces
Proved several integral identities with vector integrands
Enhanced mathematical tools for geometric analysis
Abstract
We present a tensor description of Euclidean spaces that emphasizes the use of geometric vectors. We demonstrate the effectiveness of the approach by proving of a number of integral identities with vector integrands.
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Taxonomy
TopicsComputational Physics and Python Applications · Distributed and Parallel Computing Systems · Tensor decomposition and applications
