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Symmetrical Multidimensional Matrices and Their Inversion

https://doi.org/10.35596/1729-7648-2024-22-1-22-29

Abstract

The article discusses the development of the theory of the multidimensional matrices in the part regarding the symmetrical multidimensional matrices. The symmetry property is considered in terms of the structure of the multidimensional matrix. The so called kq-dimensional symmetrical matrices are considered along with the multidimensional symmetrical matrices, i. e. the matrices symmetrical to the multi-indices containing q indices. Unit, unit symmetrical and unit kq-symmetric matrices are considered. The matrices inverse to the multidimensional matrices with respect to the unit, unit symmetrical, and unit kq-symmetrical matrices are defined. It is proven that the matrices, inverse to the multidimensional matrices with respect to the unit symmetrical and unit kq-symmetrical matrices are the Moore–Penrose matrices. The distinct instances are given.

About the Author

V. S. Mukha
Belarusian State University of Informatics and Radioelectronics
Russian Federation

Mukha Vladimir Stepanovich, Dr. of Sci. (Tech.), Professor

220013, Minsk, P. Brovki St., 6  

Tel.: +375 44 781-16-51



References

1. Mukha V. S. (2007) Multidimensional-Matrix Regression Analysis. Estimations of the Parameters. Proceedings of the National Academy of Sciences of Belarus. Physics and Mathematics Series. (1), 45–51 (in Russian).

2. Mukha V. S. (2007) The Best Polynomial Multidimensional-Matrix Regression. Cybernetics and Systems Analysis. 43 (3), 138–143 (in Russian).

3. Sokolov N. P. (1972) Introduction to the Theory of Multidimensional Matrices. Kiev, Naukova Dumka Publ. (in Russian).

4. Mukha V. S. (2004) Analysis of Multidimensional Data. Minsk, Technoprint Publ. (in Russian).

5. Horn R., Johnson Ch. (1989) Matrix Analysis. Cambridge University Press. (in Russian).


Review

For citations:


Mukha V.S. Symmetrical Multidimensional Matrices and Their Inversion. Doklady BGUIR. 2024;22(1):22-29. (In Russ.) https://doi.org/10.35596/1729-7648-2024-22-1-22-29

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ISSN 1729-7648 (Print)
ISSN 2708-0382 (Online)