This mathematics problem involves applying core mathematical principles and formulas. Below you will find a complete step-by-step solution with detailed explanations for each step, helping you understand not just the answer but the method behind it.

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\text{linearly independent
Step 1: Determine linear independence for 4.1.2. To determine if the vectors , , and are linearly independent, we can form a matrix with these vectors as columns and calculate its determinant. If the determinant is non-zero, the vectors are linearly independent. Calculate the determinant of : Since , the vectors are linearly independent. The set of vectors is .
Step 2: Determine linear independence for 4.1.3. To determine if the vectors , , and are linearly independent, we form a matrix with these vectors as columns and calculate its determinant. Calculate the determinant of : Since , the vectors are linearly independent. The set of vectors is .
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Determine linear independence for 4.1.2. To determine if the vectors x_1 = 1 \\ 2 \\ 3 , x_2 = 3 \\ 2 \\ 9 , and x_3 = 5 \\ 2 \\ -1 are linearly independent, we can form a matrix M with these vectors as columns and calculate its determinant.
This mathematics problem involves applying core mathematical principles and formulas. Below you will find a complete step-by-step solution with detailed explanations for each step, helping you understand not just the answer but the method behind it.