dimension of the special orthogonal group
Let be a -dimensional real inner product space. The group of orthogonal operators on with positive determinant (i.e. the group of “rotations” on ) is called the special orthogonal group, denoted .
The theorem on decomposing orthogonal operators as rotations and reflections (http://planetmath.org/DecompositionOfOrthogonalOperatorsAsRotationsAndReflections) suggests that all elements of are all fundamentally two-dimensional in some sense. This article is an elementary exploration of this aspect.
First observe that the set of orthogonal operators is a manifold embedded in the real vector space , defined by the condition , where , and is the transpose of (represented as a matrix in orthonormal coordinates). is simply shorthand for the condition that the columns of are orthonormal — we see there are scalar equations11 viewed as a matrix equation of course has scalar equations, but many of them are duplicated. For simplicity, we prefer to view ’s codomain to be the space of symmetric matrices, which is -dimensional. in variables. Then if we can show that the derivative as full rank everywhere, then we will have established that is a manifold of dimension . This is an easy computation if organized in the right way: for any , by the product rule we have
Consider first the case that . Then implies ; in other words, is skew-symmetric. But the skew-symmetric matrices have dimension , so the kernel of has this dimension. By the dimension theorem of linear algebra, the rank of is , which is the full rank.
For general , let . Then reduces to , again the skew-symmetric condition. The set of all such have dimension ; but multiplication by is an automorphism of , so the set of all also have the same dimension. Thus has full rank, as before.
is of course just the part of that satisfies the additional condition . It has the same dimension as a manifold.
Notice that , the number of ways to choose basis elements out of . We might naïvely think that an element of can be decomposed into rotations on each of the coordinate 2-dimensional planes in -dimensional space. This does not quite work, because rotations do not commute, even though we expect that the order of the decomposition should not matter (after all, there is no canonical order on the pairs of basis elements of ).
Nevertheless, on an “infinitesimal level”, the decomposition does work. Suppose we are given a one-parameter subgroup22Given , it can be shown with the orthogonal operator decomposition theorem that there is a one-parameter subgroup containing X. Hint: of . From ODE theory, it is known that is given by the matrix exponential , where is derivative of at . Also, must be skew-symmetric, because it is a tangent vector to the curve and so must lie in the tangent space to (the kernel of ).
Since , we may reasonably ask: in what way does the matrix represent the rotations ? The answer is suggested by the simpler case of ; by Rodrigues’ rotation formula, is the operator where is the angular velocity vector of the rotation.
The wedge product of the exterior algebra on generalizes the cross product in higher dimensions (), so we should start looking there, and one cannot but help notice that also has dimension . The basis elements of this space are of the form , where and are orthonormal basis vectors of , and are defined by , . By attempting to generalize the cross product representation for , we can derive that the natural isomorphism between elements and the skew-symmetric matrices should be given by:
If , a simple calculation shows is a rotation on the plane spanned by and with angular velocity !
So one can think of the infinitesimal decomposition of , as the “angular velocity” with its components. The fact that angular velocity in our physical world can be represented by one vector, and the fact that rotations in have a single axis, is a consequence of the fact that .
So although rotations do not commute in general, the correspondence between rotations and alternating 2-tensors, shows that rotations do add up and commute at the infinitesimal level33This really just boils down to the fact that a manifold looks like a vector space locally..
Title | dimension of the special orthogonal group |
Canonical name | DimensionOfTheSpecialOrthogonalGroup |
Date of creation | 2013-03-22 15:24:22 |
Last modified on | 2013-03-22 15:24:22 |
Owner | stevecheng (10074) |
Last modified by | stevecheng (10074) |
Numerical id | 8 |
Author | stevecheng (10074) |
Entry type | Result |
Classification | msc 15A04 |
Classification | msc 15A75 |
Classification | msc 20G20 |
Related topic | ProofOfRodriguesRotationFormula |
Related topic | DecompositionOfOrthogonalOperatorsAsRotationsAndReflections |
Related topic | OrthogonalMatrices |
Related topic | ExteriorAlgebra |
Related topic | OrthogonalGroup |
Defines | special orthogonal group |