2021
DOI: 10.2478/cm-2021-0019
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Unified computational approach to nilpotent algebra classification problems

Abstract: In this article, we provide an algorithm with Wolfram Mathematica code that gives a unified computational power in classification of finite dimensional nilpotent algebras using Skjelbred-Sund method. To illustrate the code, we obtain new finite dimensional Moufang algebras.

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Cited by 6 publications
(2 citation statements)
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“…The algebraic classification (up to isomorphism) of algebras of dimension n from a certain variety defined by a certain family of polynomial identities is a classic problem in the theory of non-associative algebras. There are many results related to the algebraic classification of small-dimensional algebras in the varieties of Jordan, Lie, Leibniz, Zinbiel, and many other algebras [2,5,6,29,38] and references in [30,36]. Geometric properties of a variety of algebras defined by a family of polynomial identities have been an object of study since 1970's (see, [5,6,13,16,21,22,28,31,33,49] and references in [30]).…”
Section: Introductionmentioning
confidence: 99%
“…The algebraic classification (up to isomorphism) of algebras of dimension n from a certain variety defined by a certain family of polynomial identities is a classic problem in the theory of non-associative algebras. There are many results related to the algebraic classification of small-dimensional algebras in the varieties of Jordan, Lie, Leibniz, Zinbiel, and many other algebras [2,5,6,29,38] and references in [30,36]. Geometric properties of a variety of algebras defined by a family of polynomial identities have been an object of study since 1970's (see, [5,6,13,16,21,22,28,31,33,49] and references in [30]).…”
Section: Introductionmentioning
confidence: 99%
“…In the follow up section § 3 we provide new results to illustrate our unified symbolic computational approach. The original code by the authors is provided open access through (Kadyrov and Mashurov, 2020). Finally in § 4 we conclude with possible future research directions.…”
Section: Introductionmentioning
confidence: 99%