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Row Operations Calculator

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Example
Created on 2024-06-20Asked by Aiden Baker (Solvelet student)
Perform row operations to solve the system of linear equations: {2x+3y=54x+y=6 \begin{cases} 2x + 3y = 5 \\ 4x + y = 6 \end{cases}

Solution

To solve the system of linear equations using row operations: {2x+3y=54x+y=6 \begin{cases} 2x + 3y = 5 \\ 4x + y = 6 \end{cases} 1. **Write the augmented matrix:** [235416]. \left[\begin{array}{cc|c} 2 & 3 & 5 \\ 4 & 1 & 6 \end{array}\right]. 2. **Perform row operations:** - Subtract 2×2 \times (row 1) from (row 2): R2R22R1    [235054]. R2 \leftarrow R2 - 2R1 \implies \left[\begin{array}{cc|c} 2 & 3 & 5 \\ 0 & -5 & -4 \end{array}\right]. - Divide row 2 by 5-5: R2R25    [2350145]. R2 \leftarrow \frac{R2}{-5} \implies \left[\begin{array}{cc|c} 2 & 3 & 5 \\ 0 & 1 & \frac{4}{5} \end{array}\right]. - Subtract 3×3 \times (row 2) from (row 1): R1R13R2    [20750145]. R1 \leftarrow R1 - 3R2 \implies \left[\begin{array}{cc|c} 2 & 0 & \frac{7}{5} \\ 0 & 1 & \frac{4}{5} \end{array}\right]. - Divide row 1 by 2: R1R12    [107100145]. R1 \leftarrow \frac{R1}{2} \implies \left[\begin{array}{cc|c} 1 & 0 & \frac{7}{10} \\ 0 & 1 & \frac{4}{5} \end{array}\right]. 3. **Solution:** x=710,y=45. x = \frac{7}{10}, \quad y = \frac{4}{5}. Therefore, the solution to the system is x=710x = \frac{7}{10} and y=45y = \frac{4}{5}. Solved on Solvelet with Basic AI Model
Some of the related questions asked by Sofia Hernandez on Solvelet
1. Use row operations to solve the system of equations: 2x+y=3 2x + y = 3 , 4x2y=2 4x - 2y = 2 .2. Perform row reduction on the augmented matrix (123456789) \begin{pmatrix} 1 & 2 & 3 \\ 4 & 5 & 6 \\ 7 & 8 & 9 \end{pmatrix} to obtain its row echelon form.,
DefinitionManipulations of rows of matrices to solve linear systems and find matrix inverses are known as row operations. The operations are row swapping, multiplication of a row by a non-zero scalar; and adding or subtracting multiples of rows. Example: Solving a system via Gaussian elimination involves performing row operations to convert the augmented matrix to row echelon form.
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