1. Consider R4 with the usual dot product. a. Find a basis for the orthogonal complement of the subspace W spanned by {(0, 1, 1, 0), (1, 0, 0, 1), (1, 1, 0, 1)}. b. Find the orthogonal projection of v = = (-2,0, 2, 4) onto the subspace W with orthogonal basis {(1,-1, 2, -1), (1, 2, 0, -1), (1, 0, 0, 1)}.
1. Consider R4 with the usual dot product. a. Find a basis for the orthogonal complement of the subspace W spanned by {(0, 1, 1, 0), (1, 0, 0, 1), (1, 1, 0, 1)}. b. Find the orthogonal projection of v = = (-2,0, 2, 4) onto the subspace W with orthogonal basis {(1,-1, 2, -1), (1, 2, 0, -1), (1, 0, 0, 1)}.
1. Consider R4 with the usual dot product. a. Find a basis for the orthogonal complement of the subspace W spanned by {(0, 1, 1, 0), (1, 0, 0, 1), (1, 1, 0, 1)}. b. Find the orthogonal projection of v = = (-2,0, 2, 4) onto the subspace W with orthogonal basis {(1,-1, 2, -1), (1, 2, 0, -1), (1, 0, 0, 1)}.
Branch of mathematics concerned with mathematical structures that are closed under operations like addition and scalar multiplication. It is the study of linear combinations, vector spaces, lines and planes, and some mappings that are used to perform linear transformations. Linear algebra also includes vectors, matrices, and linear functions. It has many applications from mathematical physics to modern algebra and coding theory.
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