Cramer's rule for nonsingular $m \times n$ matrices
The Teaching of Mathematics, XX (2017) no. 1, p. 13
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In linear algebra, Cramer's rule is an explicit formula for the solution of a system of linear equations with as many equations as unknowns, that is, for the solution of a system with a square matrix. In this paper we want to generalize this method for an $m \times n$ system of linear equations, such that $m n$. We offer a simple and convenient formula for systems with rectangular matrices using only the minors of the augmented matrix, as well as the usual method of Cramer. We also generalize the results in order to solve a matrix equation.
Classification :
97H60 H65
Keywords: Cramer's rule, matrix, minors, linear algebra, augmented matrix
Keywords: Cramer's rule, matrix, minors, linear algebra, augmented matrix
@article{TM2_2017_XX_1_a1,
author = {Azamat Akhtyamov and Meirav Amram and Miriam Dagan and Artour Mouftahkov},
title = {Cramer's rule for nonsingular $m \times n$ matrices},
journal = {The Teaching of Mathematics},
pages = {13 },
year = {2017},
volume = {XX},
number = {1},
language = {en},
url = {http://geodesic.mathdoc.fr/item/TM2_2017_XX_1_a1/}
}
TY - JOUR AU - Azamat Akhtyamov AU - Meirav Amram AU - Miriam Dagan AU - Artour Mouftahkov TI - Cramer's rule for nonsingular $m \times n$ matrices JO - The Teaching of Mathematics PY - 2017 SP - 13 VL - XX IS - 1 UR - http://geodesic.mathdoc.fr/item/TM2_2017_XX_1_a1/ LA - en ID - TM2_2017_XX_1_a1 ER -
Azamat Akhtyamov; Meirav Amram; Miriam Dagan; Artour Mouftahkov. Cramer's rule for nonsingular $m \times n$ matrices. The Teaching of Mathematics, XX (2017) no. 1, p. 13 . http://geodesic.mathdoc.fr/item/TM2_2017_XX_1_a1/