MATH115 Lecture Notes - Lecture 28: Linear Combination, Orthogonal Matrix
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Friday, november 7 lecture 28 : orthogonal and orthonormal basis. Expectations: define orthogonal set and orthonormal set, normalize an orthogonal set, recognize that orthogonal sets are always linearly independent, define orthogonal basis and orthonormal basis. u v = 0. 28. 1 definition two vectors u and v in n are said to be orthogonal if. 28. 2 definition a finite subset s of vectors in n is said to be an orthogonal set if x y. {v1, v2, v3} = { (1, 0, 1), (0, 1, 0), ( 2, 0, 2)} is an orthogonal set but not orthonormal. To do this show that the dot-product any pair of vectors and see that it equals 0. The norm of (1, 0, 1) is root 2 and so the set is not orthonormal. ) 28. 2. 2 remark given any orthogonal set we can obtain from it an orthonormal set by. That is given any vector u, (1/||u||) u has norm 1.