See also: Rotation
That is to say E a vector Space Euclidean directed real of finished size N . A vectorial rotation of E is an element of the orthogonal special group . If one chooses a direct orthonormée base of E, its matrix in this base is orthogonal direct.
Plane vectorial rotation
Matric writing
Dans the plan, a vectorial rotation is simply defined by its angle
. Its matrix in a direct orthonormée base is:
In other words, a vector V of components for transformed the V' vector of components that one can calculate with the matric equality:
i.e. one a:
et
Complex writing
Remark : this can be close to the following formula, written with complex numbers:
ou still:
Direction of rotation
When
lies between
and
and if the plan is directed in a usual way, rotation is made in the trigonometrical or opposite direction needles of a watch. It is said that rotation is sinistral. If
lies between
and
, rotation is done in the direction of the needles of a watch. It is known as dextral.
Composition
The made up one of two vectorial rotations is a vectorial rotation whose angle is the sum of the angles of two rotations, which one translates by saying that the group of vectorial rotations is isomorphous with the group
.
Rotations and angles
In the axiomatic construction of the geometry, it is the definition of plane rotations which makes it possible to define the concept of angle (see the article
Angle ).
Vectorial rotation in the space of dimension 3
Matric writing
In the space of dimension 3, a vectorial rotation is defined by its axis
directed whose vectors are invariants by this vectorial rotation and its angle
, that of the plane vectorial rotation which relates to the orthogonal plan with the axis.
We will suppose that the vector , of coordinates in a direct orthonormée base, is normalized: .
That is to say an unspecified vector. Let us note its transform by rotation .
Simple particular case
Let us start with the study of the particular case where the direct orthonormée base is such as
Are the orthogonal vectorial plan with . Taking into account the particular case, the plan is the plan generated by the vectors and . The vector breaks up into a vector colinéaire with which is invariant by rotation, and a vector which undergoes a rotation of angle in the plan , and one can apply to the formulas established in the case of plane vectorial rotations. One can thus write:
and aussi
comme ci-dessus
what can be written in the synthetic form:
General case
If the vector has an unspecified orientation compared to the direct orthonormée base which is used to express the components, the reasoning is more delicate.
As above, let us define the plan , orthogonal with . The vector breaks up into the sum of , colinéaire with and invariant by rotation, and of , element of and which will undergo a rotation in this plan. The directly orthogonal vector with in the plan and of the same standard is , so that the image of in the rotation of angle is .
Finally, the image of by rotation is worth:
-
and if one replaces
by his value
, one obtains:
-
from where finally the formula of Olinde Rodrigues:
The formula framed above gives the vectorial expression of transformed
of an unspecified vector
, in rotation
of angle
and of axis
(
).
One can have the same result in the following equivalent matric form:
with:
Remarks
The matrix M is called Matrice of rotation. It is a direct matrix orthogonal, which means that its columns form a direct orthonormée base, or that its transposed matrix is equal to its opposite matrix and that its determinant is worth 1.
Conversely, being given an unspecified matrix of rotation, one easily finds the cosine of the swing angle. Indeed, the trace of the matrix (i.e. the sum of its diagonal elements) is equal to . In addition, it is noticed that:
-
what makes it possible to quickly find the axis and the sine associated with rotation.
Geometrically,
and
form the two sides of a rhombus whose vector
is the diagonal, orthogonal with the axis of rotation. It is the rhombus of
Olinde Rodrigues.
Composition of two vectorial rotations
The made up one of two vectorial rotations and of the space of dimension 3 is a vectorial rotation. The characteristics of this one are determined quickly starting from , where is the product initial matrices of rotation.
One can also call upon the concept of quaternions. Indeed, one can calculate transformed the of the vector by using the product of quaternions in the following form:
To compose of rotations then amounts multiplying quaternions.
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