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| − | Let ''A'' and ''B'' be ''n × n'' matrices and ''I''<sub>''n''</sub> be the ''n × n'' identity matrix | + | Let ''A'' and ''B'' be ''n × n'' matrices and ''I''<sub>''n''</sub> be the ''n × n'' identity matrix<br> |
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A is invertible or nonsingular and B is its inverse if: | A is invertible or nonsingular and B is its inverse if: | ||
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| − | + | If the above condition is not met, and the determinant of matrix ''A'' is 0, then it is called '''singular '''or '''noninvertible'''. | |
[[Category:MA265Fall2010Walther]] | [[Category:MA265Fall2010Walther]] | ||
Revision as of 15:27, 27 November 2010
The Inverse of a Matrix
In linear algebra, the study of matrices is one of the fundamental basis of this subject. One of the concepts within this study, is the notion of an invertible or nonsingular matrix.
Definition
A square matrix is said to be invertible or nonsingular, if when multiplied by another similar matrix, the result yields the identity matrix.
Let A and B be n × n matrices and In be the n × n identity matrix
A is invertible or nonsingular and B is its inverse if:
$ \begin{align} & AB=BA={{I}_{n}} \\ & \\ & \overbrace{\left( \begin{matrix} {{a}_{11}} & {{a}_{12}} & \cdots & {{a}_{1n}} \\ {{a}_{21}} & {{a}_{22}} & \cdots & {{a}_{2n}} \\ \vdots & \vdots & \ddots & \vdots \\ {{a}_{n1}} & {{a}_{n2}} & \cdots & {{a}_{nn}} \\ \end{matrix} \right)}^{A}\overbrace{\left( \begin{matrix} {{b}_{11}} & {{b}_{12}} & \cdots & {{b}_{1n}} \\ {{b}_{21}} & {{b}_{22}} & \cdots & {{b}_{2n}} \\ \vdots & \vdots & \ddots & \vdots \\ {{b}_{n1}} & {{b}_{n2}} & \cdots & {{b}_{nn}} \\ \end{matrix} \right)}^{B}=\overbrace{\left( \begin{matrix} 1 & 0 & \cdots & 0 \\ 0 & 1 & \cdots & 0 \\ \vdots & \vdots & \ddots & \vdots \\ 0 & 0 & \cdots & 1 \\ \end{matrix} \right)}^{{{I}_{n}}} \\ \end{align} $
If the above condition is not met, and the determinant of matrix A is 0, then it is called singular or noninvertible.
