THE MOORE–PENROSE INVERSE OF SYMMETRIC MATRICES WITH EQUITABLE PARTITIONS AND DIVISOR MATRICES
DOI:
https://doi.org/10.25077/jmua.15.3.427-435.2026Keywords:
Moore-Penrose inverse, symmetric matrix, divisor matrix, balanced partitionAbstract
A balanced partitioned symmetric matrix is a matrix that has partition blocks that have the same average number of rows and columns. The sum of these average rows and columns is then arranged into a matrix, which is called the divisor matrix. The purpose of this paper is to analyze the relationship between the Moore-Penrose inverse divisor matrix of a balanced partitioned symmetric matrix A and the Moore-Penrose inverse divisor matrix of A. Furthermore, it is obtained that the divisor matrix of the Moore-Penrose inverse of matrix A is the same as the Moore-Penrose inverse of the divisor matrix of A.
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References
E. H. Moore, "On the reciprocal of the general algebraic matrix," Bulletin of
the American Mathematical Society, vol. 26, no. 9, pp. 394-395, 1920.
[2] R. Penrose, "A generalized inverse for matrices," Proceedings of the Cambridge
Philosophical Society, vol. 51, no. 3, pp. 406-413, 1955.
[3] P. Patricio, "The moore-penrose inverse of a factorization," Linear Algebra
and its Applications, vol. 370, pp. 227-235, 2003.
[4] K. Sivakumar, "A new characterization of nonnegativity of moore-penrose
inverses of gram operators," Positivity, vol. 13, no. 1, pp. 277-286, 2008.
[5] P. S. Stanimirovic dan M. B. Tasic, "Computing generalized inverses using lu
factorization of matrix product," International Journal of Computer Mathematics, vol. 85, no. 12, pp. 1865-1878, 2008.
[6] F. Toutonian dan A. Ataei, "A new method for computing moore-penrose
inverse matrices," Journal of Computational and Applied Mathematics, vol.
228, no. 1, pp. 412-417, 2009.
[7] W. Guo dan T. Huang, "Method of elementary transformation to compute
moore-penrose inverse," Applied Mathematics and Computation, vol. 216,
no. 5, pp. 1614-1617, 2010.
[8] V. N. Katsikis, D. Pappas, dan A. Petralias, "An improved method for the
computation of the moore-penrose inverse matrix," Applied Mathematics and
Computation, vol. 217, no. 23, pp. 9828-9834, 2011.
[9] M. D. Petkovic dan P. S. Stanimirovic, "Iterative method for computing the
moore-penrose inverse based on penrose equations," Journal of Computational
and Applied Mathematics, vol. 235, no. 6, pp. 1604-1613, 2011.
Invers Moore Penrose dari Matriks Simetri dengan Partisi Seimbang dan Matriks Pembagi 9
[10] J. Ji dan X. Chen, "A new method for computing moore-penrose inverse
through gauss-jordan elimination," Applied Mathematics and Computation,
vol. 245, pp. 271-278, 2014.
[11] M. D. Petkovic dan P. S. Stanimirovic, "Two improvements of the iterative
method for computing moore-penrose inverse based on penrose equations,"
Journal of Computational and Applied Mathematics, vol. 267, pp. 61-71, 2014.
[12] A. Ataei, "Improved qrginv algorithm for computing moore-penrose inverse
matrices," ISRN Applied Mathematics, vol. 2014, pp. 1-5, 2014.
[13] Y. Hakopian, "Calculating of inverse moore-penrose mapping for bidiagonal
matrices," Mohyla Mathematical Journal, vol. 2, pp. 11-23, 2019.
[14] A. Alazemi, M. Andelic, dan D. Cvetkovic-Ilic, "The moore-penrose inverse of
symmetric matrices with nontrivial equitable partitions," Applied Mathematics
and Computation, vol. 400, pp. 1-11, 2021.
[15] Z. Iram dan A. Zein, "A new family of second-order iterative methods for computing the moore-penrose inverse based on penrose equations," International
Journal of Applied Mathematics, vol. 35, no. 3, 2022.
[16] S. Sheikhi dan H. Esmaeili, "A new iterative method to find the moore-penrose
inverse," 2023.
[17] K. Zuo, "Further representations and computations of the generalized moore-
penrose inverse," AIMS Mathematics, vol. 8, no. 10, pp. 23442-23458, 2023.
[18] Y. Hakopian, "The moore-penrose inverse of tridiagonal skew-symmetric matrices ii," Proceedings of the YSU Physical and Mathematical Sciences, vol. 57,
no. 2, pp. 31-43, 2023.
[19] H. Zhu, J. Chen, X. Zhang, dan P. Patricio, "The moore-penrose inverse of 2x2
matrices over a certain *-regular ring," Applied Mathematics and Computation,
vol. 246, pp. 263-267, 2014.
[20] S. Lu, X. Wang, G. Zhang, dan X. Zhou, "Effective algorithms of the moore-
penrose inverse matrices for extreme learning machine," Intelligent Data Analysis, vol. 19, no. 4, pp. 743-760, 2015.
[21] I. Jeyaraman, D. T., dan A. R., "The moore-penrose inverse of the distance
matrix of a helm graph," Electronic Journal of Linear Algebra, vol. 39, pp.
94-109, 2023
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