Here are the essential concepts you must grasp in order to answer the question correctly.
Gauss-Jordan Elimination
The Gauss-Jordan elimination method is a systematic procedure used to solve systems of linear equations. It involves transforming the augmented matrix of the system into reduced row echelon form (RREF) through a series of row operations. This method allows for easy identification of solutions, including unique solutions, no solutions, or infinitely many solutions.
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Infinitely Many Solutions
A system of equations has infinitely many solutions when at least one equation can be derived from another, leading to dependent equations. In such cases, the solution can be expressed in terms of one or more free variables, allowing for multiple values that satisfy all equations. For example, in a two-variable system, one variable can be set as arbitrary, while the other is expressed in terms of it.
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Augmented Matrix
An augmented matrix is a matrix that represents a system of linear equations, combining the coefficients of the variables and the constants from the equations into a single matrix. This format simplifies the application of row operations during methods like Gauss-Jordan elimination, making it easier to manipulate and solve the system. The last column of the augmented matrix represents the constants from the equations.
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