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Linear Algebra Chapter 4 n Linear Algebra with Applications –-Gareth Williams n Br. Joel Baumeyer, F.S.C.
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Vector Spaces n Definition: Let [u 1, u 2, … u n,] be a sequence of real numbers. The set of all such sequences is called n-space and is denoted by n. n = {[u 1, u 2, … u n,] : u i , i {1, 2, …, n}
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Vector Spaces (continued) n Zero vector: 0 = [0,0, …, 0] n -v = -1v
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Vector Spaces (continued)
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Dot Product
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Vector Properties
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Cauchy-Schwartz Inequality
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Orthogonal Vectors n Two vectors are orthogonal by definition if the angle between them is a right angle.
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Norm and Distance n Def: Let x = [x 1, x 2,…, x n ] & y = [y 1, y 2,…, y n ] be two vectors in n. The distance between x and y is de- noted by d(x,y) ||x - y|| and is defined by
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Geometrical Structure of n
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