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Inner products and their induced norms have some very useful properties:

  • | x , y | x y with equality iff α C such that y = α x
  • x , y = 0 x + y 2 = x - y 2 = x 2 + y 2
  • x + y 2 + x - y 2 = 2 x 2 + 2 y 2
  • Re [ x , y ] = x + y 2 - x - y 2 4

In R 2 and R 3 , we are very familiar with the geometric notion of an angle between two vectors. For example, if x , y R 2 , then from the law of cosines, x , y = x y cos θ . This relationship depends only on norms and inner products, so it can easily be extended to any inner product space.

An illustration of a pair of vectors x and y that make an angle of theta.

Definition 1

The angle θ between two vectors x , y in an inner product space is defined by cos θ = x , y x y

Definition 2

Vectors x , y in an inner product space are said to be orthogonal if x , y = 0 .

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Source:  OpenStax, Digital signal processing. OpenStax CNX. Dec 16, 2011 Download for free at http://cnx.org/content/col11172/1.4
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