6. a. b. O 5 3 -4 -1 3 -1 20 。。 1 -4 3 0 4 1 -3 3 0 -2 -9 0 -1 -2 0 -1 -1] -3 00

College Algebra
1st Edition
ISBN:9781938168383
Author:Jay Abramson
Publisher:Jay Abramson
Chapter7: Systems Of Equations And Inequalities
Section7.6: Solving Systems With Gaussian Elimination
Problem 1SE: Can any system of linear equations be written as an augmented matrix? Explain why or why not....
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**Exercises 5–6: Solving Systems of Linear Equations from Augmented Matrices**

In each part of Exercises 5–6, find a system of linear equations in the unknowns \( x_1, x_2, x_3, \ldots \) that corresponds to the given augmented matrix. 

Make sure to express each equation clearly and identify the coefficients for the respective variables as depicted by the matrix.

**Example:** 
Given the augmented matrix 
\[
\begin{bmatrix}
1 & 2 & 3 & | & 4 \\
0 & 5 & 6 & | & 7
\end{bmatrix}
\]

The corresponding system of linear equations is:
\[
\begin{cases}
x_1 + 2x_2 + 3x_3 = 4 \\
5x_2 + 6x_3 = 7
\end{cases}
\]

Continue this process for each provided matrix, deciphering and writing out the respective equations. This practice will enhance your understanding of converting between matrix representations and standard linear equations.
Transcribed Image Text:**Exercises 5–6: Solving Systems of Linear Equations from Augmented Matrices** In each part of Exercises 5–6, find a system of linear equations in the unknowns \( x_1, x_2, x_3, \ldots \) that corresponds to the given augmented matrix. Make sure to express each equation clearly and identify the coefficients for the respective variables as depicted by the matrix. **Example:** Given the augmented matrix \[ \begin{bmatrix} 1 & 2 & 3 & | & 4 \\ 0 & 5 & 6 & | & 7 \end{bmatrix} \] The corresponding system of linear equations is: \[ \begin{cases} x_1 + 2x_2 + 3x_3 = 4 \\ 5x_2 + 6x_3 = 7 \end{cases} \] Continue this process for each provided matrix, deciphering and writing out the respective equations. This practice will enhance your understanding of converting between matrix representations and standard linear equations.
### Example 6:

#### a. 

\[ \begin{bmatrix}
0 & 3 & -1 & -1 & -1\\ 
5 & 2 & 0 & -3 & -6
\end{bmatrix} \]

#### b.

\[ \begin{bmatrix}
3 & 0 & 1 & -4 & 3\\
-4 & 0 & 4 & 1 & -3\\
-1 & 3 & 0 & -2 & -9\\
0 & 0 & 0 & -1 & -2
\end{bmatrix} \]

---

### Explanation:

These matrices are part of an example in a linear algebra topic, likely focusing on matrix operations such as addition, multiplication, determinants, or systems of linear equations.

- **Matrix a** is a \(2 \times 5\) matrix, indicating it has 2 rows and 5 columns.
- **Matrix b** is a \(4 \times 5\) matrix, indicating it has 4 rows and 5 columns.

This example can be used to illustrate various operations or properties of matrices such as row reduction, the concept of rank, or solving systems of linear equations using row transformations.
Transcribed Image Text:### Example 6: #### a. \[ \begin{bmatrix} 0 & 3 & -1 & -1 & -1\\ 5 & 2 & 0 & -3 & -6 \end{bmatrix} \] #### b. \[ \begin{bmatrix} 3 & 0 & 1 & -4 & 3\\ -4 & 0 & 4 & 1 & -3\\ -1 & 3 & 0 & -2 & -9\\ 0 & 0 & 0 & -1 & -2 \end{bmatrix} \] --- ### Explanation: These matrices are part of an example in a linear algebra topic, likely focusing on matrix operations such as addition, multiplication, determinants, or systems of linear equations. - **Matrix a** is a \(2 \times 5\) matrix, indicating it has 2 rows and 5 columns. - **Matrix b** is a \(4 \times 5\) matrix, indicating it has 4 rows and 5 columns. This example can be used to illustrate various operations or properties of matrices such as row reduction, the concept of rank, or solving systems of linear equations using row transformations.
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