
The inverse of a square matrix , sometimes called a reciprocal matrix, is a matrix such that
 |
(1) |
where is the identity matrix. Courant and Hilbert (1989, p. 10) use the notation to denote the inverse matrix.
A square matrix has an inverse iff the determinant (Lipschutz 1991, p. 45). A matrix possessing an inverse is called nonsingular, or invertible.
The matrix inverse of a square matrix may be taken in Mathematica using the function Inverse[m].
For a matrix
![A=[a b; c d],](http://mathworld.wolfram.com/images/equations/MatrixInverse/equation2.gif) |
(2) |
the matrix inverse is
For a matrix
![A=[a_(11) a_(12) a_(13); a_(21) a_(22) a_(23); a_(31) a_(32) a_(33)],](http://mathworld.wolfram.com/images/equations/MatrixInverse/equation3.gif) |
(5) |
the matrix inverse is
|
![A^(-1)==1/(|A|)[|a_(22) a_(23); a_(32) a_(33)| |a_(13) a_(12); a_(33) a_(32)| |a_(12) a_(13); a_(22) a_(23)|; ; |a_(23) a_(21); a_(33) a_(31)| |a_(11) a_(13); a_(31) a_(33)| |a_(13) a_(11); a_(23) a_(21)|; ; |a_(21) a_(22); a_(31) a_(32)| |a_(12) a_(11); a_(32) a_(31)| |a_(11) a_(12); a_(21) a_(22)|].](http://mathworld.wolfram.com/images/equations/MatrixInverse/equation4.gif)
determinant of A is ,  |
(6) |
A general matrix can be inverted using methods such as the Gauss-Jordan elimination, Gaussian elimination, or LU decomposition.
The inverse of a product of matrices and can be expressed in terms of and . Let
 |
(7) |
Then
 |
(8) |
and
 |
(9) |
Therefore,
 |
(10) |
so
 |
(11) |
where is the identity matrix, and
 |
(12) |
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