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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The vectors are linearly independent
let's determine the linear dependence of these vectors.
3. Determine whether or not the following vectors in are linearly dependent: , , and .
To determine if the vectors are linearly dependent, we can form a matrix with these vectors as columns and calculate its determinant. If the determinant is zero, the vectors are linearly dependent. If it's non-zero, they are linearly independent.
Step 1: Form the matrix with the given vectors as columns.
Step 2: Calculate the determinant of matrix . We will use cofactor expansion along the first row:
Step 3: Compute the determinants.
Step 4: Substitute these values back into the determinant formula and simplify.
Step 5: Conclude based on the determinant value. Since , the vectors are linearly independent.
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3. Determine whether or not the following vectors in R^3 are linearly dependent: u = (1,2,5), v = (2,5,1), and w = (1,5,2).
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.