Applied Mathematics 1411A/B Chapter Notes - Chapter 6.3: Coordinate Vector, Unit Vector
49 views3 pages
3 Dec 2018
School
Department
Professor
Document Summary
2 vectors in an inner product space are orthogonal if their inner product is 0. A set of 2 or more vectors in a real inner product space is orthogonal if all pairs of distinct vectors in the set are orthogonal norm 1 (unit vector) is linearly independent. An orthogonal set in which each vector has norm 1 is said to be orthonormal. Normalizing: to convert an orthogonal set of nonzero vectors into an orthonormal set, Coordinates relative to orthonormal bases multiply each vector in the orthognal set by the reciprocal of its length to create a vector of. If is an orothognal set of nonzero vectors in an inner product space, then. If is an orthogonal basis for an inner product space , and if is any vector in , then. If is an orthonromal basis for an inner product space , and if is any vector in , then.