Planar angle between two vectors

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To find the angle between two vectors f1 and f2 in the same coordinate system, the dot product can be used, expressed as f1·f2 = ||f1|| ||f2|| cos(α). The scalar product provides a way to calculate the cosine of the angle by dividing the dot product by the magnitudes of the vectors. In vector spaces over R, the dot product also allows for the measurement of lengths and angles, with the law of cosines relating the sides of the triangle formed by the vectors. The discussion emphasizes that if the dot product equals zero, the vectors are perpendicular. Understanding these principles is essential for calculating angles in vector analysis.
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I have two vectors:
f1 = (x1,y1,z1)
f2 = (x2,y2,z2)
The origins are placed together and they are of the same coordinate system.
They make a plane between the two vectors and the origin.
How do you find the angle between the two vector on that plane?
 
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\vec f_1\cdot \vec f_2 = \Vert \vec f_1\Vert \cdot \Vert \vec f_2\Vert \cdot \cos(\alpha)
(i.e., compute the scalar product, divide it by the vector norms, and you get the cosinus of the angle you are searching.)
 
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It so happens I just wrote these notes:

For vector spaces over R, the dot product let's us measure lengths and angles. I.e. if we think of the axes spanned by the standard basis vectors as mutually perpendicular, or “orthogonal”, then by Pythagoras the square of the length |v| of a vector v = (a1,...,an) is just |v|^2 = a1^2+...+an^2 = v.v. Moreover if v = (a1,...,an), and w = (b1,...,bn) are any two vectors, then |v|,|w|, and |v-w| are the length of the sides of the triangle they determine, and hence by the law of cosines |v-w|^2 = |v|^2 + |w|^2 - 2|v||w|.cos(C), where C is the angle between v and w. Expanding the left side as |v-w|^2 = (v-w).(v-w) = v.v - 2v.w + w.w, we get v.w = |v||w|.cos(C). Since cos(π/2) = 0, this implies that v.w = 0 if (and only if) v and w are perpendicular. This is quite useful.
 
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