Exercise 2: Rank via Row Reduction in 3D — Possible Solution ==================================================================== GIVEN ------------------------------ p = [1, 1, 0] q = [0, 1, 1] r = [1, 2, 1] STEP 1: ROW REDUCTION ------------------------------ Stack the three vectors as rows: [1, 1, 0] [0, 1, 1] [1, 2, 1] R3 -> R3 - R1: [1, 1, 0] [0, 1, 1] [0, 1, 1] R3 -> R3 - R2: [1, 1, 0] [0, 1, 1] [0, 0, 0] STEP 2: READING OFF THE RANK ------------------------------ Two rows survive as nonzero ([1,1,0] and [0,1,1]); the third reduced completely to [0, 0, 0]. Per this chapter's own row-reduction technique, the rank of {p, q, r} is 2, not 3 - the set is NOT linearly independent. STEP 3: EXPRESSING r AS A COMBINATION OF p AND q ------------------------------ Since row 3 vanished after subtracting row 1 and then row 2, that is exactly the statement r - p - q = [0, 0, 0], which rearranges to: r = p + q Checking directly: p + q = [1+0, 1+1, 0+1] = [1, 2, 1] = r exactly. WHY THIS WORKS AS AN ANSWER ------------------------------ The row reduction follows this chapter's own general independence- testing procedure step by step, the rank is read directly from the number of surviving nonzero rows, and the redundant vector is expressed as a combination of the other two by reading the exact row operations used to zero it out, then independently confirmed with direct component-by-component addition.