- You will learn everything related to the inverse of matrices in this class after completion of this class you will have no doubt regarding inverse of matrices
- Also, concept of minors and cofactors will be cleared in this class it will include 2 cross 2 and 3cross 3 matrices hope you guys will enjoy this session
- The definition of a matrix inverse requires commutativity—the multiplication must work the same in either order.
- To be invertible, a matrix must be square, because the identity matrix must be square as well
- The inverse of matrix [A][A], designated as [A]−1[A]−1, is defined by the property:
- [A][A]−1=[A]−1[A]=[I][A][A]−1=[A]−1[A]=[I]
- Where [I][I] is the identity matrix.
- Note that, just as in the definition of the identity matrix, this definition requires commutativity—the multiplication must work the same in either order.
- Note also that only square matrices can have an inverse. The definition of an inverse matrix is based on the identity matrix [I][I], and it has already been established that only square matrices have an associated identity matrix.
- The method for finding an inverse matrix comes directly from the definition, along with a little algebra.