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Angle/Introduction/Section

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For vectors and , different from , in a euklidean vector space , the inequality of Cauchy-Schwarz implies that

holds. Using the trigonometric function cosine (as a bijective mapping ) and its inverse function, the angle between the two vectors can be defined, by setting

The angle is a real number between and . The equation above can be read as

This provides the possibility to define the inner product in this way. However, then we have to find an independent definition for the angle. This approach might look a bit more intuitive but is has computationally and in terms of the proofs many disadvantages.

For an affine space over a Euclidean vector space , and three given points (a triangle) with , the angle of the triangle at is the angle .