Here are the essential concepts you must grasp in order to answer the question correctly.
Gaussian Elimination
Gaussian elimination is a method for solving systems of linear equations. It involves transforming the system's augmented matrix into row echelon form using a series of row operations, which include swapping rows, multiplying a row by a non-zero scalar, and adding or subtracting rows. This process simplifies the system, making it easier to identify solutions or determine if no solution exists.
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Row Echelon Form
Row echelon form is a specific arrangement of a matrix where all non-zero rows are above any rows of all zeros, and the leading coefficient of each non-zero row (the first non-zero number from the left) is to the right of the leading coefficient of the previous row. This structure is crucial for applying back substitution to find the solutions of the system, as it clearly indicates the relationships between the variables.
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Consistency of a System
A system of linear equations is considered consistent if it has at least one solution, and inconsistent if it has no solutions. During Gaussian elimination, if a row reduces to a form that implies a contradiction (such as 0 = 1), the system is inconsistent. Understanding the consistency of a system is essential for determining whether a complete solution can be found or if the system is unsolvable.
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