Enter a matrix and click the Inverse button.
MULTIPLICATIVE INVERSES OF MATRICES
In this section multiplicative identity elements and multiplicative inverses
are introduced and used to solve matrix equations. This leads to another
method for solving systems of equations.
IDENTITY MATRICES The identity property for real numbers says that
a * I = a and I * a = a for any real number a. If there is to be a
multiplicative
identity matrix I, such that:
AI = A and IA = A,
for any matrix A, then A and I must be square matrices of the same size.
Otherwise it would not be possible to find both products. For example, let A be
the 2 X 2 matrix and let
represent the 2 X 2 identity matrix. To find I, use the fact that IA = A, or
Multiplying the two matrices on the left side of this equation and setting the
elements of the product matrix equal to the corresponding elements of A gives
the following system of equations with variables x11, x12, x21, and x22
Notice that this is really two systems of equations in two variables. Use one of
the methods of the previous chapter to find the solution of this system: x11 =
1, x12 = x21 = 0, and X22 = 1. From the solution of the system, the 2 X 2
identity matrix is
Check that with this definition of I, both Al = A and IA = A.
Example 1 VERIFYING THE IDENTITY PROPERTY
Let
Verify that MI = M and IM = M
The 2 X 2 identity matrix found above suggests the following generalization:
n x n IDENTITY MATRIX
For any value of n there is an n X n identity matrix having l's
down the diagonal and 0's elsewhere. The n x n identity matrix is given
by l where:
Here aij = 1 when i = j (the diagonal elements) and aaj = 0
otherwise.
Example 2  STATING AND VERIFYING THE 3 X 3 IDENTITY MATRIX
Let K =
Given the 3 X 3 identity matrix I and show that KI = K.
The 3 X 3 identity matrix is
By the definition of matrix multiplication,
MULTIPLICATIVE INVERSES For every nonzero real number a,
there is a multiplicative inverse l/a such that
Recall that l/a can also be written a^(1). In the rest of this
section, a method is developed for finding a multiplicative inverse for square
matrices. The multiplicative inverse of a matrix A is written A^(1). This
matrix must satisfy the statements
The multiplicative inverse of a matrix can be found using the
matrix row transformations given in the previous tutorial and repeated here for
convenience.
MATRIX ROW TRANSFORMATIONS
The matrix row transformations are:

interchanging any two rows of a matrix;

multiplying the elements of any row of a matrix by the same
nonzero scalar k; and

adding a multiple of the elements of one row to the elements
of another row.
As an example, let us find the inverse of
Let the unknown inverse matrix be
By the definition of matrix inverse, AA^(1) = 1, or
By matrix multiplication,
Setting corresponding elements equal gives the system of equations
Since equations (1) and (3) involve only x and z, while equations (2) and (4)
involve only y and w, these four equations lead to two systems of equations,
2x + 4z = 1
xz=0
and
2y + 4w = 0
yw=1.
Writing the two systems as augmented matrices gives
Each of these systems can be solved by the GaussJordan method. However, since
the elements to the left of the vertical bar are identical, the two systems can
be combined into the one augmented matrix,
and solved simultaneously as follows. Exchange the two rows to get a 1 in the
upper left comer.
Multiply the first row by 2 and add the results to the second row to get
Now, to get a I in the secondrow, secondcolumn position, multiply the second
row by 1/6.
Finally, add the second row to the first row to get a 0 in the second column
above the 1.
The numbers in the first column to the right of the vertical bar give the values
of x and z. The second column gives the values of y and w. That is,
so that
To check, multiply A by A^(1). The result should be I
Verify that A  1 A = I, also. Finally,
The process for finding the multiplicative inverse A^(1) n x n matrix A
that has an inverse is summarized below.
FINDING AN INVERSE MATRIX
To obtain A^(1) n x n matrix A for which A^(1) exists, follow these
steps.
1. Form the augmented matrix [A/I], where I is the n x n identity matrix.
2. Perform row transformations on [AI] to get a matrix of the form [IB].
3. Matrix B is A^(1).
4. Verify by showing that BA = AB = I.
CAUTION Only square matrices have inverses, but not every square matrix has an
inverse. If an inverse exists, it is unique. That is, any given square matrix
has no more than one inverse. Note that the symbol A^(1) does not mean 1/A; the
symbol A^(1) is just the notation for the inverse of matrix A.