Generalized inverse matrices are an important branch of matrix theory, have a wide range of applications in many fields, such as mathematical statistics, system theory, optimization computing and cybernetics etc. This paper mainly studies the correlation properties and applications of the Core-ep inverse. Firstly, we present the characterizations of the Core-EP inverse by the matrix equations, and an example is given for analysis. Secondly, we present a representation for computing the Core-EP inverse, get a representation of Aij⊕ by Cramer rule , and an example is given for analysis. Finally, we study the constrained matrix approximation problem in the Frobenius norm by using the Core-EP inverse: ║Ax-b║F=min subject to x∈R(Ak), where A∈C m,m , we obtain the unique solution to the problem.
Published in | Pure and Applied Mathematics Journal (Volume 11, Issue 6) |
DOI | 10.11648/j.pamj.20221106.13 |
Page(s) | 112-120 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2022. Published by Science Publishing Group |
Core-EP Inverse, Characterizations, Representations, Frobenius Norm
[1] | Wang G, Wei Y, Qiao S. Generalized inverses: theory and computations [M]. Singapore, Beijing: Springer, Science Press; 2018. (Developments in Mathematics; 53). |
[2] | Campbell S L, Meyer C D. Generalized Inverses of Linear Transforma-tions [M] Generalized inverses of linear transformations. Pitman, 1979. |
[3] | Prasad K M, Mohana K S. Core - EP inverse [J]. Linear Multilinear Alge-bra, 2014, 62 (6): 792-802. |
[4] | Drazin, M. P. Pseudo-Inverses in Associative Rings and Semigroups [J]. The American Mathematical Monthly, 1958, 65 (7): 506. |
[5] | Keiichi M, Rozloznik Miroslav. On GMRES for Singular EP and GPSystems [J]. SIAM Journal on Matrix Analysis and Applications, 2018, 39 (2): 1033-1048. |
[6] | H Wang, Zhang X. The core inverse and constrained matrix approximation problem [J]. Open Mathematics, 2020, 18 (1): 653-661. |
[7] | Fiedler M, Markham T L. A characterization of the Moore- Penrose in-verse [J]. Linear Algebra and Its Applications, 1993, 179 (1): 129-133. |
[8] | Wei Y A characterization and representation of the Drazin inverse [J]. SIAMJ matrix Anal Appl, 1996; 17: 744-747. |
[9] | Ma H, Li T. Characterizations and representations of the core inverse and its applications [J]. Linear and Multilinear Algebra, 2019: 1-11. |
[10] | Ma H, Stanimirovi P S. Characterizations, approximation and pertur-bations of the core-EP inverse [J]. Applied Mathematics and Computation, 2019, 359. |
[11] | Wang H. Core-EP decomposition and its applications [J]. Linear Algebra and Its Applications, 2016, 508: 289- -300. |
[12] | Yuan Y, Zuo K. Compute limx- →oX (XIp + YAX)-1Y by the prod-uct singular value decomposition [J]. Linear and Multilinear Algebra, 2016; 64: 269-278. |
[13] | Jirgen Groβ. Solution to a rank equation [J]. Linear Algebra and its Appli-cations, 1999, 289 (289): 127-130. |
APA Style
Xianchun Meng, Ricai Luo, Xingshou Huang, Guiying Wang. (2022). Characterizations and Representations of the Core-EP Inverse and Its Applications. Pure and Applied Mathematics Journal, 11(6), 112-120. https://doi.org/10.11648/j.pamj.20221106.13
ACS Style
Xianchun Meng; Ricai Luo; Xingshou Huang; Guiying Wang. Characterizations and Representations of the Core-EP Inverse and Its Applications. Pure Appl. Math. J. 2022, 11(6), 112-120. doi: 10.11648/j.pamj.20221106.13
@article{10.11648/j.pamj.20221106.13, author = {Xianchun Meng and Ricai Luo and Xingshou Huang and Guiying Wang}, title = {Characterizations and Representations of the Core-EP Inverse and Its Applications}, journal = {Pure and Applied Mathematics Journal}, volume = {11}, number = {6}, pages = {112-120}, doi = {10.11648/j.pamj.20221106.13}, url = {https://doi.org/10.11648/j.pamj.20221106.13}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.pamj.20221106.13}, abstract = {Generalized inverse matrices are an important branch of matrix theory, have a wide range of applications in many fields, such as mathematical statistics, system theory, optimization computing and cybernetics etc. This paper mainly studies the correlation properties and applications of the Core-ep inverse. Firstly, we present the characterizations of the Core-EP inverse by the matrix equations, and an example is given for analysis. Secondly, we present a representation for computing the Core-EP inverse, get a representation of Aij⊕ by Cramer rule , and an example is given for analysis. Finally, we study the constrained matrix approximation problem in the Frobenius norm by using the Core-EP inverse: ║Ax-b║F=min subject to x∈R(Ak), where A∈C m,m , we obtain the unique solution to the problem.}, year = {2022} }
TY - JOUR T1 - Characterizations and Representations of the Core-EP Inverse and Its Applications AU - Xianchun Meng AU - Ricai Luo AU - Xingshou Huang AU - Guiying Wang Y1 - 2022/11/30 PY - 2022 N1 - https://doi.org/10.11648/j.pamj.20221106.13 DO - 10.11648/j.pamj.20221106.13 T2 - Pure and Applied Mathematics Journal JF - Pure and Applied Mathematics Journal JO - Pure and Applied Mathematics Journal SP - 112 EP - 120 PB - Science Publishing Group SN - 2326-9812 UR - https://doi.org/10.11648/j.pamj.20221106.13 AB - Generalized inverse matrices are an important branch of matrix theory, have a wide range of applications in many fields, such as mathematical statistics, system theory, optimization computing and cybernetics etc. This paper mainly studies the correlation properties and applications of the Core-ep inverse. Firstly, we present the characterizations of the Core-EP inverse by the matrix equations, and an example is given for analysis. Secondly, we present a representation for computing the Core-EP inverse, get a representation of Aij⊕ by Cramer rule , and an example is given for analysis. Finally, we study the constrained matrix approximation problem in the Frobenius norm by using the Core-EP inverse: ║Ax-b║F=min subject to x∈R(Ak), where A∈C m,m , we obtain the unique solution to the problem. VL - 11 IS - 6 ER -