On Rank of Multivectors in Geometric Algebras

ABSTRACT We introduce the notion of rank of multivector in Clifford geometric algebras of arbitrary dimension without using the corresponding matrix representations and using only geometric algebra operations. We use the concepts of characteristic polynomial in geometric algebras and the method of SVD. The results can be used in various applications of geometric algebras in computer science, engineering, and physics.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2025-04-06
DOI
https://doi.org/10.1002/mma.10946
Citations
1
Primary Topic
Algebraic and Geometric Analysis
Type
article
Field-Weighted Citation Impact
3.73

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article

On Rank of Multivectors in Geometric Algebras

Dmitry Shirokov
1 citations
Mathematical Methods in the Applied Sciences
Algebraic and Geometric Analysis
3.73
article

On Rank of Multivectors in Geometric Algebras

Dmitry Shirokov
article en
1 citations

Abstract

ABSTRACT We introduce the notion of rank of multivector in Clifford geometric algebras of arbitrary dimension without using the corresponding matrix representations and using only geometric algebra operations. We use the concepts of characteristic polynomial in geometric algebras and the method of SVD. The results can be used in various applications of geometric algebras in computer science, engineering, and physics.

Mathematical Methods in the Applied SciencesVol. 48(11)
National Research University Higher School of Economics (RU), Institute for Information Transmission Problems (RU)
National Research University Higher School of Economics
Openalex Percentile: Top 12%
Algebraic and Geometric Analysis
3.73
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