linear algebra, higher linear algebra
(…)
matrices with entries in a unital ring form a unital ring with unit (diagonal matrix whose each entry at the main diagonal is ). A matrix is invertible (also said regular) if it has a two-sided inverse in that unital ring, called the matrix inverse (or inverse matrix) of . In other words, it is a matrix satisfying .
Sometimes one-sided inverses in are also useful as well as one-sided inverses of rectangular matrices.
Sometimes, an inverse matrix does not exist but formulas for some entries of inverse matrix make sense. Related expressions include quasideterminants and Schur complement, see there.
A generalized inverse satisfying weaker requirement and is sometimes useful, especially in applied mathematics and approximation theory. These identities play role also in inverse semigroups.
In the case of matrices, such generalized inverse is known as Moore–Penrose inverse.
(fundamental theorem of invertible matrices)
If is a field, and a square matrix, the following are equivalent:
is an invertible matrix;
is the matrix product of elementary matrices.
Wikipedia, Invertible matrix, Moore–Penrose inverse
WolframMathWorld, Invertible Matrix Theorem
Formulas for inverses of block matrices see shortly at Schur complement and more at
D. Krob, B. Leclerc, Sec 2 in: Minor identities for quasi-determinants and quantum determinants, Comm. Math. Phys. 169 (1995) 1-23 [doi:10.1007/BF02101594, arXiv:hep-th/9411194]đ
Chapter 13 (e.g. 13.8), Block LU factorization, in: Nicholas J. Higham, Accuracy and stability of numerical algorithms, Society for Industrial and Applied Mathematics, Year: 2002
Tzon-Tzer Lu, Sheng-Hua Shiou, Inverses of block matrices, Computers & Mathematics with Applications 43 1–2 (2002) 119-129 [doi:10.1016/S0898-1221(01)00278-4]
Müge Saadetoğlu, Şakir Mehmet Dinsev, Inverses and determinants of block matrices, Mathematics 11 17 (2023) 3784 [doi:10.3390/math11173784]
Last revised on May 22, 2024 at 18:26:26. See the history of this page for a list of all contributions to it.