Here are the essential concepts you must grasp in order to answer the question correctly.
Gaussian Elimination
Gaussian elimination is a systematic method for solving systems of linear equations. It involves transforming the system's augmented matrix into row echelon form using elementary row operations, which include row swapping, scaling rows, and adding multiples of one row to another. Once in this form, back substitution can be used to find the values of the variables.
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Augmented Matrix
An augmented matrix is a matrix that represents a system of linear equations, where each row corresponds to an equation and each column corresponds to the coefficients of the variables, along with an additional column for the constants on the right side of the equations. For the given system, the augmented matrix would be formed by combining the coefficients of x and y with the constants from the equations, facilitating the application of Gaussian elimination.
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Row Operations
Row operations are the fundamental manipulations used in Gaussian elimination to simplify the augmented matrix. The three types of row operations include swapping two rows, multiplying a row by a non-zero scalar, and adding or subtracting a multiple of one row to another. These operations help to systematically reduce the matrix to a simpler form, making it easier to solve for the variables.
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