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Inner Products, Length, and Orthogonality (11/30/05) If v and w are vectors in R n, then their inner (or dot) product is: v  w = v T w That is, you multiply.

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Presentation on theme: "Inner Products, Length, and Orthogonality (11/30/05) If v and w are vectors in R n, then their inner (or dot) product is: v  w = v T w That is, you multiply."— Presentation transcript:

1 Inner Products, Length, and Orthogonality (11/30/05) If v and w are vectors in R n, then their inner (or dot) product is: v  w = v T w That is, you multiply the corresponding entries and add up, so the result is a scalar. For example, (2,1,5)  (4,-3,1) = 10

2 Length (or Norm) The length or norm of a vector v is ||v|| =  (v  v) For example, ||(2,5,-1)|| =  30 A unit vector is a vector whose length is 1. Note that for any vector v, the vector v / ||v|| is a unit vector (it has been “normalized”).

3 Distance between two vectors The distance between two vectors v and w is just ||v – w|| For example, the distance between (2,5,-1) and (1,-3,-4) is ||(1,8,3)|| =  74.

4 Orthogonality Two vectors v and w are said to be orthogonal if v  w = 0. Orthogonality generalizes the idea of perpendicularity. A vector v is orthogonal to a subspace W if v is orthogonal to every vector in W. The set of all such vectors is called the orthogonal complement of W.

5 Assignment for Friday Read Section 6.1 carefully. Read these summarizing slides. On pages 382-3, do Exercises 1-19 odd and 27.


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