Computation of Minimal Polynomials and Multivector Inverses in Non-Degenerate Clifford Algebras

Clifford algebras are an active area of mathematical research having numerous applications in mathematical physics and computer graphics, among many others. This paper demonstrates algorithms for the computation of characteristic polynomials, inverses, and minimal polynomials of general multivectors...

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Main Author: Dimiter Prodanov
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Mathematics
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Online Access:https://www.mdpi.com/2227-7390/13/7/1106
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author Dimiter Prodanov
author_facet Dimiter Prodanov
author_sort Dimiter Prodanov
collection DOAJ
description Clifford algebras are an active area of mathematical research having numerous applications in mathematical physics and computer graphics, among many others. This paper demonstrates algorithms for the computation of characteristic polynomials, inverses, and minimal polynomials of general multivectors residing in a non-degenerate Clifford algebra of an arbitrary dimension. The characteristic polynomial and inverse computation are achieved by a translation of the classical Faddeev–LeVerrier–Souriau (FVS) algorithm in the language of Clifford algebra. The demonstrated algorithms are implemented in the Clifford package of the open source computer algebra system Maxima. Symbolic and numerical examples residing in different Clifford algebras are presented.
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spelling doaj-art-5c4c84a337c040bda7a6019079fcb0fa2025-08-20T02:09:17ZengMDPI AGMathematics2227-73902025-03-01137110610.3390/math13071106Computation of Minimal Polynomials and Multivector Inverses in Non-Degenerate Clifford AlgebrasDimiter Prodanov0PAML-LN, Institute for Information and Communication Technologies (IICT), Bulgarian Academy of Sciences, 1113 Sofia, BulgariaClifford algebras are an active area of mathematical research having numerous applications in mathematical physics and computer graphics, among many others. This paper demonstrates algorithms for the computation of characteristic polynomials, inverses, and minimal polynomials of general multivectors residing in a non-degenerate Clifford algebra of an arbitrary dimension. The characteristic polynomial and inverse computation are achieved by a translation of the classical Faddeev–LeVerrier–Souriau (FVS) algorithm in the language of Clifford algebra. The demonstrated algorithms are implemented in the Clifford package of the open source computer algebra system Maxima. Symbolic and numerical examples residing in different Clifford algebras are presented.https://www.mdpi.com/2227-7390/13/7/1106multivectorcharacteristic polynomialClifford algebracomputer algebra
spellingShingle Dimiter Prodanov
Computation of Minimal Polynomials and Multivector Inverses in Non-Degenerate Clifford Algebras
Mathematics
multivector
characteristic polynomial
Clifford algebra
computer algebra
title Computation of Minimal Polynomials and Multivector Inverses in Non-Degenerate Clifford Algebras
title_full Computation of Minimal Polynomials and Multivector Inverses in Non-Degenerate Clifford Algebras
title_fullStr Computation of Minimal Polynomials and Multivector Inverses in Non-Degenerate Clifford Algebras
title_full_unstemmed Computation of Minimal Polynomials and Multivector Inverses in Non-Degenerate Clifford Algebras
title_short Computation of Minimal Polynomials and Multivector Inverses in Non-Degenerate Clifford Algebras
title_sort computation of minimal polynomials and multivector inverses in non degenerate clifford algebras
topic multivector
characteristic polynomial
Clifford algebra
computer algebra
url https://www.mdpi.com/2227-7390/13/7/1106
work_keys_str_mv AT dimiterprodanov computationofminimalpolynomialsandmultivectorinversesinnondegeneratecliffordalgebras