We start with the following system of linear equations:
\[
\begin{cases}
2 x_{1} + x_{2} - x_{3} = 1 \\
3 x_{1} + 2 x_{2} + 2 x_{3} = 13 \\
4 x_{1} - 2 x_{2} + 3 x_{3} = 9
\end{cases}
\]
Step 2: Formulate the Coefficient Matrix and Constant Vector
The coefficient matrix \( A \) and the constant vector \( b \) are defined as follows:
\[
A = \begin{bmatrix}
2 & 1 & -1 \\
3 & 2 & 2 \\
4 & -2 & 3
\end{bmatrix}, \quad
b = \begin{bmatrix}
1 \\
13 \\
9
\end{bmatrix}
\]
Step 3: Calculate the Determinant of the Coefficient Matrix
The determinant of the coefficient matrix \( A \) is calculated as:
\[
\text{Det}(A) = 33.00
\]
Step 4: Calculate Determinants for Cramer's Rule
To apply Cramer's Rule, we need to calculate the determinants of matrices formed by replacing each column of \( A \) with the vector \( b \).
Step 4.1: Replace the First Column
The matrix \( A_1 \) is formed by replacing the first column of \( A \) with \( b \):
\[
A_1 = \begin{bmatrix}
1 & 1 & -1 \\
13 & 2 & 2 \\
9 & -2 & 3
\end{bmatrix}
\]
The determinant of \( A_1 \) is:
\[
\text{Det}(A_1) = 33.00
\]
Step 4.2: Replace the Second Column
The matrix \( A_2 \) is formed by replacing the second column of \( A \) with \( b \):
\[
A_2 = \begin{bmatrix}
2 & 1 & -1 \\
3 & 13 & 2 \\
4 & 9 & 3
\end{bmatrix}
\]
The determinant of \( A_2 \) is:
\[
\text{Det}(A_2) = 66.00
\]
Step 4.3: Replace the Third Column
The matrix \( A_3 \) is formed by replacing the third column of \( A \) with \( b \):
\[
A_3 = \begin{bmatrix}
2 & 1 & 1 \\
3 & 2 & 13 \\
4 & -2 & 9
\end{bmatrix}
\]
The determinant of \( A_3 \) is:
\[
\text{Det}(A_3) = 66.00
\]
Step 5: Apply Cramer's Rule
Using Cramer's Rule, we can find the values of \( x_1, x_2, \) and \( x_3 \):
\[
x_1 = \frac{\text{Det}(A_1)}{\text{Det}(A)} = \frac{33.00}{33.00} = 1
\]
\[
x_2 = \frac{\text{Det}(A_2)}{\text{Det}(A)} = \frac{66.00}{33.00} = 2
\]
\[
x_3 = \frac{\text{Det}(A_3)}{\text{Det}(A)} = \frac{66.00}{33.00} = 2
\]
Step 6: Final Solution
The solution to the system of equations is:
\[
\begin{array}{c}
x_{1} = 1 \\
x_{2} = 2 \\
x_{3} = 2
\end{array}
\]