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Bonus Knowledge
To determine the values of for which the given linear system has no solution, a unique solution, or infinitely many solutions, we can utilize the concept of the augmented matrix and row reduction.
First, we form the augmented matrix from the equations:
By performing row operations to reduce this matrix, we seek to find conditions on . After row-reduction, we can discern the number of solutions based on the rank of the coefficient matrix and the augmented matrix.
No solution: This occurs when the system has a contradiction, such as resulting in a row of the form where . By determining specific values for , you could find contradictions.
Unique solution: The system has a unique solution when the rank of the coefficient matrix equals the rank of the augmented matrix, and both are equal to the number of variables (3 in this case). This typically involves ensuring that all operations lead to a row of pivot positions.
Infinitely many solutions: This happens when the rank of the coefficient matrix is less than that of the augmented matrix. This could potentially happen for certain values of that lead to free variables.
To conclude, after performing the necessary calculations for various ranges of :
For and , there is a unique solution.
For or (i.e., ), you will encounter infinitely many solutions or no solutions depending on the specific scenarios handled during row operations.
Determining specific ranges for in a clean format leads you to these results: