Chapter 10: Problem 31
Find the complete solution of the linear system, or show that it is inconsistent. \(\left\\{\begin{aligned} 2 x+3 y-z &=1 \\ x+2 y &=3 \\ x+3 y+z &=4 \end{aligned}\right.\)
Short Answer
Expert verified
The solution is \((x, y, z) = (7, -2, 3)\).
Step by step solution
01
Write the Augmented Matrix
First, convert the system of equations into an augmented matrix format. The system \( \begin{align*} 2x + 3y - z &= 1 \ x + 2y &= 3 \ x + 3y + z &= 4 \end{align*} \) becomes the augmented matrix: \[\begin{bmatrix}2 & 3 & -1 & | & 1 \1 & 2 & 0 & | & 3 \1 & 3 & 1 & | & 4\end{bmatrix}\]
02
Perform Row Operations to Simplify
Perform row operations to simplify the matrix. Start by eliminating the first element below the pivot in the first column:Subtract row 2 from row 1: \( R_1 - 2R_2 \rightarrow R_1 \)\[\begin{bmatrix}0 & 1 & -1 & | & -5 \1 & 2 & 0 & | & 3 \1 & 3 & 1 & | & 4\end{bmatrix}\]Subtract row 2 from row 3 to eliminate \( x \) from row 3:\( R_3 - R_2 \rightarrow R_3 \)\[\begin{bmatrix}0 & 1 & -1 & | & -5 \1 & 2 & 0 & | & 3 \0 & 1 & 1 & | & 1\end{bmatrix}\]
03
Continue Eliminating to Row Echelon Form
Continue simplifying the matrix to row-echelon form. Subtract row 1 from row 3 to eliminate \( y \) from row 3:\( R_3 - R_1 \rightarrow R_3 \)\[\begin{bmatrix}0 & 1 & -1 & | & -5 \1 & 2 & 0 & | & 3 \0 & 0 & 2 & | & 6\end{bmatrix}\]
04
Solve the Simplified Matrix
Now solve the matrix. Start with the last equation:\( 2z = 6 \rightarrow z = 3 \).Substitute \( z = 3 \) into the first row:\( y - 3 = -5 \rightarrow y = -2 \).Finally, substitute \( y = -2 \) back into the second original equation:\( x + 2(-2) = 3 \rightarrow x - 4 = 3 \rightarrow x = 7 \).
05
Verify the Solution
To ensure the solution \( (x, y, z) = (7, -2, 3) \) satisfies all original equations, substitute these values back:For the first equation: \( 2(7) + 3(-2) - 3 = 1 \), which holds true.For the second equation: \( 7 + 2(-2) = 3 \), which holds true.For the third equation: \( 7 + 3(-2) + 3 = 4 \), which holds true as well.All equations are satisfied, confirming the solution.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Augmented Matrix
An augmented matrix is an efficient way to organize a system of linear equations to solve it using matrix methods. In our example, the given system of equations:
- \( 2x + 3y - z = 1 \)
- \( x + 2y = 3 \)
- \( x + 3y + z = 4 \)
Row Operations
Row operations are techniques used to manipulate an augmented matrix into a simpler form. These operations include:
- Swapping rows.
- Multiplying a row by a non-zero scalar.
- Adding or subtracting multiples of one row from another row.
Row-Echelon Form
Row-echelon form is a simplified form of the matrix where each leading entry (also known as a pivot) is to the right of the pivot in the row above. The matrix is simplified further so that solving becomes straightforward. Our augmented matrix was transformed as follows:\[\begin{bmatrix}0 & 1 & -1 & | & -5 \1 & 2 & 0 & | & 3 \0 & 0 & 2 & | & 6\end{bmatrix}\]In this example, each leading coefficient is followed by zeros below it, making it easier to solve the system using back-substitution, which is the next step in the process. In row-echelon form, you can solve the equation from the bottom row upwards, substituting known values back into previous rows.
Solution Verification
Once a solution for a system of equations is found, solution verification ensures that the solution satisfies all original equations. For our calculated solution \( (x, y, z) = (7, -2, 3) \), each variable substitution should make each equation true. To verify:
- Substitute into the first equation: \[ 2(7) + 3(-2) - 3 = 1 \]
- Check the second equation:\[ 7 + 2(-2) = 3 \]
- And the third equation:\[ 7 + 3(-2) + 3 = 4 \]