Wright Mullins
04/25/2024 · Junior High School
Compute the inverse using row reduction. \( \left[\begin{array}{cccc}6 & 7 & -1 & 7 \\ 12 & 15 & 5 & 13 \\ 12 & 16 & 10 & 11 \\ 18 & 24 & 12 & 22\end{array}\right] \)
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Step-by-step Solution
To find the inverse of the matrix \( A = \begin{bmatrix} 6 & 7 & -1 & 7 \\ 12 & 15 & 5 & 13 \\ 12 & 16 & 10 & 11 \\ 18 & 24 & 12 & 22 \end{bmatrix} \) using row reduction, we will augment the matrix \( A \) with the identity matrix \( I \) of the same size:
\[
\left[ \begin{array}{cccc|cccc}
6 & 7 & -1 & 7 & 1 & 0 & 0 & 0 \\
12 & 15 & 5 & 13 & 0 & 1 & 0 & 0 \\
12 & 16 & 10 & 11 & 0 & 0 & 1 & 0 \\
18 & 24 & 12 & 22 & 0 & 0 & 0 & 1
\end{array} \right]
\]
We will perform row operations to transform the left side into the identity matrix.
### Step 1: Normalize the first row
Divide the first row by 6:
\[
R_1 \leftarrow \frac{1}{6} R_1 \implies \left[ \begin{array}{cccc|cccc}
1 & \frac{7}{6} & -\frac{1}{6} & \frac{7}{6} & \frac{1}{6} & 0 & 0 & 0 \\
12 & 15 & 5 & 13 & 0 & 1 & 0 & 0 \\
12 & 16 & 10 & 11 & 0 & 0 & 1 & 0 \\
18 & 24 & 12 & 22 & 0 & 0 & 0 & 1
\end{array} \right]
\]
### Step 2: Eliminate the first column below the first row
- For \( R_2 \): \( R_2 \leftarrow R_2 - 12R_1 \)
- For \( R_3 \): \( R_3 \leftarrow R_3 - 12R_1 \)
- For \( R_4 \): \( R_4 \leftarrow R_4 - 18R_1 \)
Calculating these:
\[
R_2: 12 - 12 \cdot 1 = 0, \quad 15 - 12 \cdot \frac{7}{6} = 15 - 14 = 1, \quad 5 + 2 = 7, \quad 13 - 14 = -1
\]
\[
R_3: 12 - 12 \cdot 1 = 0, \quad 16 - 12 \cdot \frac{7}{6} = 16 - 14 = 2, \quad 10 + 2 = 12, \quad 11 - 14 = -3
\]
\[
R_4: 18 - 18 \cdot 1 = 0, \quad 24 - 18 \cdot \frac{7}{6} = 24 - 21 = 3, \quad 12 + 3 = 15, \quad 22 - 21 = 1
\]
The augmented matrix now looks like:
\[
\left[ \begin{array}{cccc|cccc}
1 & \frac{7}{6} & -\frac{1}{6} & \frac{7}{6} & \frac{1}{6} & 0 & 0 & 0 \\
0 & 1 & 7 & -1 & -2 & 1 & 0 & 0 \\
0 & 2 & 12 & -3 & -4 & 0 & 1 & 0 \\
0 & 3 & 15 & 1 & -3 & 0 & 0 & 1
\end{array} \right]
\]
### Step 3: Normalize the second row
The second row is already normalized. Now we will eliminate the second column below the second row.
- For \( R_3 \): \( R_3 \leftarrow R_3 - 2R_2 \)
- For \( R_4 \): \( R_4 \leftarrow R_4 - 3R_2 \)
Calculating these:
\[
R_3: 0, \quad 2 - 2 \cdot 1 = 0, \quad 12 - 2 \cdot 7 = -2, \quad -3 +
Quick Answer
The inverse of the matrix is:
\[
\begin{bmatrix}
\frac{1}{6} & -\frac{1}{6} & \frac{7}{6} & \frac{1}{6} \\
-\frac{2}{3} & \frac{1}{3} & -\frac{1}{3} & -\frac{1}{3} \\
-\frac{1}{3} & \frac{1}{3} & -\frac{1}{3} & \frac{1}{3} \\
-\frac{1}{2} & \frac{1}{2} & -\frac{1}{2} & \frac{1}{2}
\end{bmatrix}
\]
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