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multiplicative inverse of a matrix is similar in concept, except that the product of matrix \displaystyle AA and its inverse \displaystyle {A}^{-1}A−1
equals the identity matrix. The identity matrix is a square matrix containing ones down the main diagonal and zeros everywhere else. We identify identity matrices by \displaystyle {I}_{n}I
n
where respectively.
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The identity matrix acts as a 1 in matrix algebra. For example, \displaystyle AI=IA=AAI=IA=A.
A matrix that has a multiplicative inverse has the properties
\displaystyle \begin{array}{l}A{A}^{-1}=I\\ {A}^{-1}A=I\end{array}
AA−1 =IA−1 A=I
A matrix that has a multiplicative inverse is called an invertible matrix. Only a square matrix may have a multiplicative inverse, as the reversibility, \displaystyle A{A}^{-1}={A}^{-1}A=IAA
−1=A−1
A=I, is a requirement. Not all square matrices have an inverse, but if \displaystyle AA is invertible, then \displaystyle {A}^{-1}A−1
is unique. We will look at two methods for finding the inverse of a
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