The Inverse of a Matrix
Summary
The inverse of a matrix is analogous to the multiplicative reciprical: we want to solve , and so we'd like to say that - but we don't know how to say that with matrices! Let's find out....
First of all, this concept only applies when matrices are square: so only matrices could possibly be invertible.
Definition: inverse An matrix A is invertible if theres exists an matrix C (the inverse of A) such that
The inverse C is denoted , and is unique. A square matrix for which the inverse fails to exist is called singular.
A simple formula exists for the inverse of a two-by-two matrix: if A is given by
then, provided ,
Otherwise, A is singular. The quantity ad-bc is called the determinant of A: det(A)=ad-bc.
#1, p. 126 (check!)
Theorem 5: if A is invertible, then has a unique solution for each : .
#5, p. 126 (check!)
Theorem 6:
(Check #1).
More generally, the inverse of a product of any number of invertible matrices is the product of the inverses in reverse order.
#15, p. 126.
Definition: an elementary matrix is one that is obtained by performing a single elementary row operation on an identity matrix. Each elementary matrix is invertible.
If an elementary row operation is performed on an matrix A, the resulting matrix can be written as EA, where the matrix E is created by performing the same row operation on .
#28, p. 127
Theorem 7: matrix A is invertible if and only if A is row equivalent to . The elementary row operations that transform A into simultaneously transforms into .
Theorem 7 suggests a method for finding : row reduce the augmented matrix . If A is row equivalent to , then is row equivalent to .
#1, p. 126
#18, p. 126
#19, p. 126
#21, p. 126
Note : is generally not calculated: we don't need to know its
entries to solve (similar to the notion that we don't need
to row reduce to reduced row echelon form to solve: we can stop with a
triangular matrix).