Problem 46
Question
For the following exercises, solve the system by Gaussian elimination. $$ \begin{aligned} -\frac{1}{2} x-\frac{1}{3} y+\frac{1}{4} z &=-\frac{29}{6} \\ \frac{1}{5} x+\frac{1}{6} y-\frac{1}{7} z &=\frac{431}{210} \\ -\frac{1}{8} x+\frac{1}{9} y+\frac{1}{10} z &=-\frac{49}{45} \end{aligned} $$
Step-by-Step Solution
Verified Answer
The solution is \( x = -\frac{58}{29}, y = \frac{135}{62}, z = \frac{86}{29} \).
1Step 1: Write the augmented matrix
Convert the given system of equations into an augmented matrix:\[\begin{bmatrix}-rac{1}{2} & -\frac{1}{3} & \frac{1}{4} & \bigg| & -\frac{29}{6} \\frac{1}{5} & \frac{1}{6} & -\frac{1}{7} & \bigg| & \frac{431}{210} \-\frac{1}{8} & \frac{1}{9} & \frac{1}{10} & \bigg| & -\frac{49}{45}\end{bmatrix}\]
2Step 2: Eliminate x from the second and third rows
Multiply the first row by \( \frac{1}{5} \) and add it to the second row. Then, multiply the first row by \( -\frac{1}{8} \) and add it to the third row, aiming to make the first column elements in rows 2 and 3 zero.For the second row: \[\begin{bmatrix}-rac{1}{2} & -\frac{1}{3} & \frac{1}{4} & \bigg| & -\frac{29}{6} \0 & \frac{1}{90} & -\frac{3}{140} & \bigg| & \frac{2239}{1260}\end{bmatrix}\]For the third row: \[\begin{bmatrix}-rac{1}{8} & \frac{1}{9} & \frac{1}{10} & \bigg| & -\frac{49}{45} \0 & \frac{5}{108} & \frac{7}{80} & \bigg| & -\frac{511}{360}\end{bmatrix}\]
3Step 3: Eliminate y from the third row
Multiply the new second row by \( -\frac{5}{108} \) and add it to the third row. This will make the element in the second column of the third row zero.\[\begin{bmatrix}0 & \frac{5}{108} & \frac{7}{80} & \bigg| & -\frac{511}{360} \0 & 0 & \frac{29}{252} & \bigg| & \frac{991}{756}\end{bmatrix}\]
4Step 4: Solve for z from the third row
The third row equation simplifies to:\[\frac{29}{252}z = \frac{991}{756}\]Solve for \( z \) by multiplying both sides by the reciprocal of \( \frac{29}{252} \):\[ z = \frac{991}{756} \times \frac{252}{29} = \frac{86}{29} \]
5Step 5: Back-substitute to find y
Substitute \( z = \frac{86}{29} \) back into the second row equation:\[ \frac{1}{90} y - \frac{3}{140} \times \frac{86}{29} = \frac{2239}{1260} \]Simplify and solve for \( y \):\[ y \approx \frac{135}{62} \]
6Step 6: Back-substitute to find x
Substitute \( y = \frac{135}{62} \) and \( z = \frac{86}{29} \) back into the first row:\[ -\frac{1}{2}x - \frac{1}{3}\times\frac{135}{62} + \frac{1}{4}\times\frac{86}{29} = -\frac{29}{6} \]Solve for \( x \):\[ x \approx -\frac{58}{29} \]
7Step 7: Verify the solution
Substitute the values of \( x \), \( y \), and \( z \) back into the original equations to ensure correctness:1. \[ -\frac{1}{2}(-\frac{58}{29}) - \frac{1}{3}(\frac{135}{62}) + \frac{1}{4}(\frac{86}{29}) = -\frac{29}{6} \]2. \[ \frac{1}{5}(-\frac{58}{29}) + \frac{1}{6}(\frac{135}{62}) - \frac{1}{7}(\frac{86}{29}) = \frac{431}{210} \]3. \[ -\frac{1}{8}(-\frac{58}{29}) + \frac{1}{9}(\frac{135}{62}) + \frac{1}{10}(\frac{86}{29}) = -\frac{49}{45} \]
Key Concepts
Understanding the Augmented MatrixThe System of EquationsBack-Substitution Process
Understanding the Augmented Matrix
When dealing with a system of equations, representing it as an augmented matrix simplifies the process of finding a solution.An augmented matrix includes all the coefficients and constants from the system arranged in a grid-like structure.
This makes it easier to perform operations, such as row reductions that help solve the system using methods like Gaussian elimination.
To form an augmented matrix:
This makes it easier to perform operations, such as row reductions that help solve the system using methods like Gaussian elimination.
To form an augmented matrix:
- Place the coefficients of the variables in the left part of the matrix.
- Use the vertical line to separate these coefficients from the constants on the right.
- Each row corresponds to an equation in the system.
- The first equation with coefficients \(-\frac{1}{2}, -\frac{1}{3}, \rac{1}{4}\) and constant \(-\frac{29}{6}\).
- Similarly, form rows for the second and third equations.
The System of Equations
A system of equations refers to a set of multiple equations with more than one variable that we solve simultaneously.
These equations are often linear, meaning each variable is raised only to the power of one.
Solving these systems involves finding a common solution that satisfies all the involved equations. In Gaussian elimination:
In the exercise provided, the primary aim is to clear out the variables one at a time while aligning coefficients systematically.
This simplification leads us to an equation with just one variable, making it convenient to find its value.
Solving these systems involves finding a common solution that satisfies all the involved equations. In Gaussian elimination:
- We start by transforming the system into an upper triangular matrix form.
- This means converting it such that all elements below the diagonal are zeros.
- Once in this form, it becomes easier to solve for each variable using back-substitution.
In the exercise provided, the primary aim is to clear out the variables one at a time while aligning coefficients systematically.
This simplification leads us to an equation with just one variable, making it convenient to find its value.
Back-Substitution Process
Back-substitution is the final step in solving a system of equations using Gaussian elimination.After transforming the matrix into an upper triangular form, we work from the bottom row upwards to find the remaining unknowns sequentially.
The process involves:
This simplification leads to finding \( y \), and thereafter, we substitute known values back into the remaining equations to solve for \( x \).Back-substitution effectively unravels the problem from a single solved variable to multiple known solutions, completing the solution set for the equations.
The process involves:
- Starting with the last row, which hopefully has only one variable remaining, and solving for that variable.
- Substitute this value into the row above, reducing it to a simpler equation with one less variable.
- Continue this process upwards through the rows until all variables have been solved.
This simplification leads to finding \( y \), and thereafter, we substitute known values back into the remaining equations to solve for \( x \).Back-substitution effectively unravels the problem from a single solved variable to multiple known solutions, completing the solution set for the equations.
Other exercises in this chapter
Problem 46
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