MATH 415 Study Guide - Final Guide: Altgeld Hall, Unit Vector, Coordinate Vector

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Computations. a b c d: let v = 1 is a basis for v . (if you ignore the rst entry, it is easy to see that. : a = b + 3c 2d. 1 a b c d these vectors are linearly independent). The vector is orthogonal to v i it is orthogonal to each vector in the basis of v from a b c d which we may rewrite as. = 0 a + b = 3a + c = 2a + d = 0 and so b = a, c = 3a, d = 2a. We may conclude from this that the set of vectors orthogonal to v is precisely span. 2 and any scalar multiple of it, will be orthogonal to v . in particular, the vector. 2 (c) no, we showed in part (b) that any two vectors orthogonal to v must be scalar multiples of each other and therefore cannot be linearly independent.

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