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The image shows a system of linear equations and its corresponding augmented matrix form. Here's a breakdown:

### System of Equations:
1. \( 3x + 3y + 12z = 6 \)
2. \( x + y + 4z = 2 \)
3. \( 2x + 5y + 20z = 10 \)
4. \( -x + 2y + 8z = 4 \)

### Corresponding Augmented Matrix:
\[
\left[\begin{array}{ccc|c}
3 & 3 & 12 & 6 \\
1 & 1 & 4 & 2 \\
2 & 5 & 20 & 10 \\
-1 & 2 & 8 & 4 \\
\end{array}\right]
\]

This augmented matrix is derived from the system of equations where the coefficients of \(x\), \(y\), and \(z\) are placed in the left part of the matrix, and the constants on the right side of the equal signs form the last column.

Would you like details on how to solve this matrix, or do you have any specific questions?

Here are five relative questions that might interest you:
1. How do you use Gaussian elimination to solve this augmented matrix?
2. What is the determinant of the coefficient matrix (without the augmented column)?
3. Can this system be solved using Cramer's Rule?
4. What does it mean if a system of equations has no solution, one solution, or infinitely many solutions?
5. How do you interpret the row operations when solving a system of equations?

**Tip**: When solving systems of linear equations using matrices, applying row reduction (Gaussian elimination) step by step can significantly simplify the solution process.

The image shows a system of linear equations and its corresponding augmented matrix.

Learn how to represent a system of linear equations as an augmented matrix and solve it using methods like Gaussian elimination. This problem covers concepts in linear algebra, including matrix operations and theorems like Cramer's Rule. Suitable for students in Grades 10-12.

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