A particular and very interesting case of product between vectors occurs when the two vectors and are unitary, because we can imagine them belonging to the unitary circumference, as in the figure:

In this figure we see that the terms of the geometric product between the versors and are the scalar and the blue bivector, i.e. the parallelogram given by extension of on which can be brought back to the rectangle of height and therefore:

Therefore from the geometric product of two unit vectors forming an angle a complex number of unitary amplitude arises which we will call *rotor *indicated with because it has the power to perform a rotation of angle when multiplied (from right) with other carriers.

The figure identifies the rotor with the oriented arc, but we could also identify it with the circular sector, because it is directly related to the notion of bivector.

For the property of powers, the product of rotors lying on the same plane is equivalent to an overall rotation equal to the sum of the angles and is commutative:

Therefore the product between two unit vectors generates a rotor , that is to say a complex number which – multiplied by any vector – rotates it by an angle equal to the angle between the two vectors:

(paying attention to the position of the multiplier, because it will determine the direction of rotation).

As example:

since

and also

(the factors are swapped since the rotation is in the opposite direction).

Now let’s do something not so clever at first sight.

We divide the rotor in two halves, so that they are “sandwiched” with the vector to rotate and since they are on opposite sides, they must have opposite angles, namely:

and update the notation by writing more compactly

where is the inverse (the complex conjugate) of rotor

This way we can invoke a powerful theorem: *each rotation is the composition of two reflections* (due to Hamilton and generalized in the Cartan-Dieudonné theorem).

In fact, in the figure we see that the triangle ABC is reflected with respect to **a** and subsequently with respect to **b**. The angle formed by **a** and **b** is worth half of the overall rotation of the triangle, as can be seen by considering the angles in P.

In the following app you can play with vectors to verify this very important theorem.

So, if we want to express a rotation of angle we will have to identify two vectors in the rotation plane that affect with an angle and express the composition of the two reflections:

or more briefly, since the rotor is given precisely by the geometric product of and

the symmetrical sequence of vectors that make up the rotor is paraphrased with the nice expression “first put on your socks, then your shoes, then take off your shoes and then take off your socks” (socks-shoes property).

Thanks to this theorem the expression :

- is valid for all the dimensions
- it works in spaces having whatever signature (so in spacetime too!)
- it can rotate all the elements, regardless their grade
- it expresses also non-origin centered rotations

It will be appropriate to memorize what is now called “sandwich product”!

From Marc ten Bosch page

#### Rotor’s general expression

A point of elegance in geometric algebra is to express transformations without resorting to those auxiliary elements used so often in classical geometry. We have seen this in the critique of the vector product, which projects a vector perpendicular to the plane of the two factors.

Using the axis to express a rotation that occurs on the plane perpendicular to it is a stratagem that only works in 3D: in higher dimensions it no longer works.

Fortunately this limitation does not exist if we refer to the plane B in which the rotation takes place (bivector) and therefore we will express the rotor as:

if the rotation occurs in a direction concordant with the orientation of the plane we will have:

to compare with the expression referring to the axis of rotation, which only works in 3D:

The rotation in a plane, in the sandwiched form, will be: