AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (311.3 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Perfect hypercomplex algebras: Semi-tensor product approach

Daizhan Cheng1Zhengping Ji1Jun-e Feng2( )Shihua Fu3Jianli Zhao3
Key Laboratory of Systems and Control, AMSS, Chinese Academy of Sciences, Beijing, China
School of Mathematics, Shandong University, Jinan, China
Research Center of Semi-tensor Product of Matrices: Theory and Appllications, Liaocheng University, Liaocheng, China
Show Author Information

Abstract

The set of associative and commutative hypercomplex numbers, called the perfect hypercomplex algebras (PHAs) is investigated. Necessary and sufficient conditions for an algebra to be a PHA via semi-tensor product (STP) of matrices are reviewed. The zero sets are defined for non-invertible hypercomplex numbers in a given PHA, and characteristic functions are proposed for calculating zero sets. Then PHA of various dimensions are considered. First, classification of 2-dimensional PHAs are investigated. Second, all the 3-dimensional PHAs are obtained and the corresponding zero sets are calculated. Finally, 4- and higher dimensional PHAs are also considered.

References

【1】
【1】
 
 
Mathematical Modelling and Control
Pages 177-187

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Cheng D, Ji Z, Feng J-e, et al. Perfect hypercomplex algebras: Semi-tensor product approach. Mathematical Modelling and Control, 2021, 1(4): 177-187. https://doi.org/10.3934/mmc.2021017

1

Views

0

Downloads

0

Crossref

12

Web of Science

12

Scopus

Received: 14 October 2021
Accepted: 24 December 2021
Published: 15 December 2021
©2021 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)