Find the best solutions to your questions at Westonci.ca, the premier Q&A platform with a community of knowledgeable experts. Get immediate and reliable answers to your questions from a community of experienced professionals on our platform. Join our Q&A platform to connect with experts dedicated to providing accurate answers to your questions in various fields.
Sagot :
To solve the system of equations
[tex]\[ \begin{array}{rr} 3 x_1 - x_2 & = -1 \\ -4 x_1 + 3 x_2 & = 8 \end{array} \][/tex]
using the augmented matrix method, we can follow these steps:
1. Write the augmented matrix:
The system of equations can be represented by an augmented matrix as follows:
[tex]\[ \left[\begin{array}{ccc} 3 & -1 & | & -1 \\ -4 & 3 & | & 8 \end{array}\right] \][/tex]
2. Perform row operations to convert the matrix into row-echelon form:
We aim to simplify the matrix to get leading 1s (if possible) through row operations.
The starting matrix is:
[tex]\[ \left[\begin{array}{ccc} 3 & -1 & | & -1 \\ -4 & 3 & | & 8 \end{array}\right] \][/tex]
Let's perform the following operations:
- Multiply the first row by [tex]\( \frac{1}{3} \)[/tex] to make the leading coefficient in the first row a 1:
[tex]\[ \left[\begin{array}{ccc} 1 & -\frac{1}{3} & | & -\frac{1}{3} \\ -4 & 3 & | & 8 \end{array}\right] \][/tex]
- Add 4 times the first row to the second row to eliminate the [tex]\( -4 \)[/tex] in the second row first column:
[tex]\[ -4R1 + R2 \to R2 \][/tex]
[tex]\[ \left[\begin{array}{ccc} 1 & -\frac{1}{3} & | & -\frac{1}{3} \\ 0 & \frac{5}{3} & | & \frac{20}{3} \end{array}\right] \][/tex]
3. Convert to reduced row-echelon form (RREF):
- Multiply the second row by [tex]\( \frac{3}{5} \)[/tex]:
[tex]\[ \left[\begin{array}{ccc} 1 & -\frac{1}{3} & | & -\frac{1}{3} \\ 0 & 1 & | & 4 \end{array}\right] \][/tex]
- Add [tex]\( \frac{1}{3} \)[/tex] times the second row to the first row to eliminate the [tex]\( -\frac{1}{3} \)[/tex] in the first row second column:
[tex]\[ \frac{1}{3}R2 + R1 \to R1 \][/tex]
[tex]\[ \left[\begin{array}{ccc} 1 & 0 & | & 1 \\ 0 & 1 & | & 4 \end{array}\right] \][/tex]
4. Interpret the final matrix:
The matrix now represents the following system of equations:
[tex]\[ \begin{array}{rr} x_1 & = 1 \\ x_2 & = 4 \end{array} \][/tex]
Thus, the solution to the system is [tex]\( x_1 = 1 \)[/tex] and [tex]\( x_2 = 4 \)[/tex].
So, the correct choice is:
[tex]$\square$[/tex] A. The unique solution is [tex]\( x_1 = 1 \)[/tex] and [tex]\( x_2 = 4 \)[/tex].
[tex]\[ \begin{array}{rr} 3 x_1 - x_2 & = -1 \\ -4 x_1 + 3 x_2 & = 8 \end{array} \][/tex]
using the augmented matrix method, we can follow these steps:
1. Write the augmented matrix:
The system of equations can be represented by an augmented matrix as follows:
[tex]\[ \left[\begin{array}{ccc} 3 & -1 & | & -1 \\ -4 & 3 & | & 8 \end{array}\right] \][/tex]
2. Perform row operations to convert the matrix into row-echelon form:
We aim to simplify the matrix to get leading 1s (if possible) through row operations.
The starting matrix is:
[tex]\[ \left[\begin{array}{ccc} 3 & -1 & | & -1 \\ -4 & 3 & | & 8 \end{array}\right] \][/tex]
Let's perform the following operations:
- Multiply the first row by [tex]\( \frac{1}{3} \)[/tex] to make the leading coefficient in the first row a 1:
[tex]\[ \left[\begin{array}{ccc} 1 & -\frac{1}{3} & | & -\frac{1}{3} \\ -4 & 3 & | & 8 \end{array}\right] \][/tex]
- Add 4 times the first row to the second row to eliminate the [tex]\( -4 \)[/tex] in the second row first column:
[tex]\[ -4R1 + R2 \to R2 \][/tex]
[tex]\[ \left[\begin{array}{ccc} 1 & -\frac{1}{3} & | & -\frac{1}{3} \\ 0 & \frac{5}{3} & | & \frac{20}{3} \end{array}\right] \][/tex]
3. Convert to reduced row-echelon form (RREF):
- Multiply the second row by [tex]\( \frac{3}{5} \)[/tex]:
[tex]\[ \left[\begin{array}{ccc} 1 & -\frac{1}{3} & | & -\frac{1}{3} \\ 0 & 1 & | & 4 \end{array}\right] \][/tex]
- Add [tex]\( \frac{1}{3} \)[/tex] times the second row to the first row to eliminate the [tex]\( -\frac{1}{3} \)[/tex] in the first row second column:
[tex]\[ \frac{1}{3}R2 + R1 \to R1 \][/tex]
[tex]\[ \left[\begin{array}{ccc} 1 & 0 & | & 1 \\ 0 & 1 & | & 4 \end{array}\right] \][/tex]
4. Interpret the final matrix:
The matrix now represents the following system of equations:
[tex]\[ \begin{array}{rr} x_1 & = 1 \\ x_2 & = 4 \end{array} \][/tex]
Thus, the solution to the system is [tex]\( x_1 = 1 \)[/tex] and [tex]\( x_2 = 4 \)[/tex].
So, the correct choice is:
[tex]$\square$[/tex] A. The unique solution is [tex]\( x_1 = 1 \)[/tex] and [tex]\( x_2 = 4 \)[/tex].
Thank you for choosing our platform. We're dedicated to providing the best answers for all your questions. Visit us again. We hope you found what you were looking for. Feel free to revisit us for more answers and updated information. Find reliable answers at Westonci.ca. Visit us again for the latest updates and expert advice.