Problem 4
Question
Find the products \(A B\) and \(B A\) to determine whether \(B\) is the multiplicative imerse of \(A\). $$A=\left[\begin{array}{rr}-2 & 4 \\\1 & -2\end{array}\right], \quad B=\left[\begin{array}{rr}1 & 2 \\\\-1 & -2\end{array}\right]$$
Step-by-Step Solution
Verified Answer
Matrix B is not the multiplicative inverse of matrix A as none of the products AB or BA resulted in an identity matrix.
1Step 1: Matrix Multiplication A * B
The first step is to multiply matrix A by matrix B. Each element of the resultant matrix is calculated by taking the product of the corresponding row of the first matrix and column of the second, and summing them up. Therefore, for the matrix A * B, the elements will be calculated as follows: Element (1,1) = (-2)*1 + 4*(-1) = -6,Element (1,2) = (-2)*2 + 4*(-2) = -12,Element (2,1) = 1*1 +(-2)*(-1)=3, Element (2,2) = 1*2 + (-2)*(-2)=6.This results in the matrix AB = [ [-6, -12], [ 3, 6] ].
2Step 2: Matrix Multiplication B * A
Using the same process, now multiply matrix B by matrix A:Element (1,1) = 1*(-2) + 2*1 = 0,Element (1,2) = 1*4 +2*(-2)=0,Element (2,1) = (-1)*(-2) +(-2)*1=0,Element (2,2) = (-1)*4 + (-2)*(-2)=0.This results in the matrix BA = [ [0, 0], [ 0, 0] ].
3Step 3: Checking for Inverse
Neither of the results, AB or BA, are identity matrices. In fact, BA is a zero matrix. Therefore, we can conclude that B is not the multiplicative inverse of matrix A.
Key Concepts
Multiplicative InverseZero MatrixIdentity Matrix
Multiplicative Inverse
The multiplicative inverse of a matrix is a concept in linear algebra referring to a matrix that, when multiplied with the original matrix, yields the identity matrix. This property is similar to the inverse in basic arithmetic, such as with numbers, where multiplying a number by its inverse gives 1.
To understand this concept in matrices, consider two matrices, say, A and B. Matrix B is considered the multiplicative inverse of matrix A if the product of A and B (in both arrangements A * B and B * A) results in the identity matrix.
To understand this concept in matrices, consider two matrices, say, A and B. Matrix B is considered the multiplicative inverse of matrix A if the product of A and B (in both arrangements A * B and B * A) results in the identity matrix.
- If A * B = I and B * A = I, where I is the identity matrix of the same size as A and B, then B is the inverse of A.
- Not all matrices have a multiplicative inverse. Only square matrices (matrices with the same number of rows and columns) may have an inverse.
Zero Matrix
A zero matrix is a unique type of matrix where all the elements are zeros. In mathematical notation, a zero matrix may be represented symbolically by 0 with appropriate dimensions specified. For example, a 2x2 zero matrix is written as:\[0 = \begin{bmatrix} 0 & 0 \0 & 0 \end{bmatrix}\]In the context of matrix multiplication, multiplying any matrix by a zero matrix results in a zero matrix.
- Zero matrices serve as absorbing elements for matrix multiplication. This means any matrix multiplied by a zero matrix results in a zero matrix, regardless of the order.
- If BA is a zero matrix in standard matrix multiplication, it indicates that B cannot be the multiplicative inverse of A, as it fails to produce an identity matrix.
Identity Matrix
The identity matrix serves as the equivalent of the number 1 in matrix multiplication. With matrices, an identity matrix is a square matrix where all the entries of the principal diagonal are ones, and all other entries are zeros. For instance, the identity matrix of size 2x2 is represented as:\[I = \begin{bmatrix} 1 & 0 \0 & 1 \end{bmatrix}\]The identity matrix is significant because multiplying any matrix by an identity matrix, regardless of the order, leaves the original matrix unchanged.
- If a matrix A, when multiplied by another matrix B (both ways, A * B and B * A), results in the identity matrix, then they are inverses of each other.
- The identity matrix is crucial in determining the invertibility of a matrix. If no arrangement of multiplication of two matrices results in an identity matrix, they are not inverses.
Other exercises in this chapter
Problem 3
write the augmented matrix for each system of linear equations. $$ \left\\{\begin{aligned} x-y+z &=8 \\ y-12 z &=-15 \\ z &=1 \end{aligned}\right. $$
View solution Problem 4
In Exercises \(1-4\) a. Give the order of each matrix. b. If \(A=\left[a_{i j}\right],\) identify \(a_{32}\) and \(a_{23}\), or explain why identification is no
View solution Problem 4
Evaluate each determinant. $$\left|\begin{array}{rr}7 & 9 \\\\-2 & -5\end{array}\right|$$
View solution Problem 4
write the augmented matrix for each system of linear equations. $$ \left\\{\begin{aligned} x-2 y+3 z &=9 \\ y+3 z &=5 \\ z=2 \end{aligned}\right. $$
View solution