Use Cramer's rule to compute the solution of the system. 6x₁ + 4x₂ + 2x3 = 6 2X1 + 3x3 = 4 - 2x1 + 4x2 = 2 x₁ = x₂ = x3 = ; ; (Type integers or simplified fractions.)

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### Solving a System of Linear Equations Using Cramer’s Rule

In this section, we will explore how to solve a system of linear equations using Cramer’s rule. Here is the given system of equations:

\[
6x_1 + 4x_2 + 2x_3 = 6
\]

\[
2x_1 + 3x_3 = 4
\]

\[
-2x_1 + 4x_2 = 2
\]

### Steps to Solve Using Cramer's Rule:

1. **Identify the Coefficient Matrix (A):**
   The original system can be represented in matrix form \(A \mathbf{x} = \mathbf{b}\) where \(A\) is the coefficient matrix, \(\mathbf{x}\) is the column matrix of variables, and \(\mathbf{b}\) is the column matrix of constants on the right-hand side.
   
   Coefficient Matrix \(A\):
   \[
   A = \begin{pmatrix}
     6 & 4 & 2 \\
     2 & 0 & 3 \\
     -2 & 4 & 0 
   \end{pmatrix}
   \]

2. **Determine the Determinant of Matrix A (\(\det(A)\)):**
   \[
   \det(A) = \begin{vmatrix}
     6 & 4 & 2 \\
     2 & 0 & 3 \\
     -2 & 4 & 0 
   \end{vmatrix}
   \]
   (Compute this determinant using methods such as cofactor expansion.)

3. **Form the Matrices \(A_1, A_2, A_3\):**
   Each matrix \(A_i\) is formed by replacing the i-th column of \(A\) with the matrix \(\mathbf{b}\):
   
   \[
   \mathbf{b} = \begin{pmatrix}
     6 \\
     4 \\
     2 
   \end{pmatrix}
   \]

   \(A_1\) (replacing the first column with \(\mathbf{b}\)):
   \[
   A_1 = \begin{pmatrix}
     6 & 4 & 2 \\
     4 & 0 & 3 \\
     2 &
Transcribed Image Text:### Solving a System of Linear Equations Using Cramer’s Rule In this section, we will explore how to solve a system of linear equations using Cramer’s rule. Here is the given system of equations: \[ 6x_1 + 4x_2 + 2x_3 = 6 \] \[ 2x_1 + 3x_3 = 4 \] \[ -2x_1 + 4x_2 = 2 \] ### Steps to Solve Using Cramer's Rule: 1. **Identify the Coefficient Matrix (A):** The original system can be represented in matrix form \(A \mathbf{x} = \mathbf{b}\) where \(A\) is the coefficient matrix, \(\mathbf{x}\) is the column matrix of variables, and \(\mathbf{b}\) is the column matrix of constants on the right-hand side. Coefficient Matrix \(A\): \[ A = \begin{pmatrix} 6 & 4 & 2 \\ 2 & 0 & 3 \\ -2 & 4 & 0 \end{pmatrix} \] 2. **Determine the Determinant of Matrix A (\(\det(A)\)):** \[ \det(A) = \begin{vmatrix} 6 & 4 & 2 \\ 2 & 0 & 3 \\ -2 & 4 & 0 \end{vmatrix} \] (Compute this determinant using methods such as cofactor expansion.) 3. **Form the Matrices \(A_1, A_2, A_3\):** Each matrix \(A_i\) is formed by replacing the i-th column of \(A\) with the matrix \(\mathbf{b}\): \[ \mathbf{b} = \begin{pmatrix} 6 \\ 4 \\ 2 \end{pmatrix} \] \(A_1\) (replacing the first column with \(\mathbf{b}\)): \[ A_1 = \begin{pmatrix} 6 & 4 & 2 \\ 4 & 0 & 3 \\ 2 &
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