dimension of the special orthogonal group
Let V be a n-dimensional real inner product space.
The group of orthogonal
operators on V with positive
determinant
(i.e. the group of “rotations
” on V)
is called the special orthogonal group
, denoted SO(n).
The theorem on decomposing orthogonal operators as rotations and reflections (http://planetmath.org/DecompositionOfOrthogonalOperatorsAsRotationsAndReflections)
suggests that all elements of SO(n) 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 O(n) is a manifold embedded
in the real vector space GL(V)≃ℝn×n,
defined by
the condition f(X)=XX*-I=0, where X∈GL(V), and X* is the
transpose of X (represented as a matrix in orthonormal coordinates
).
f(X)=0 is simply shorthand for the condition that the columns of X are
orthonormal — we see there are n+n(n-1)/2=n(n+1)/2 scalar equations11f(X)=0 viewed as a matrix equation of course has n2 scalar equations,
but many of them are duplicated. For simplicity,
we prefer to view f’s codomain to be the space of symmetric matrices
, which is n(n+1)/2-dimensional. in n2 variables. Then if we can show that the derivative
Df(X) as full rank everywhere,
then we will have established that O(n) is a manifold of dimension
n(n-1)/2.
This is an easy computation if organized in the right way:
for any y∈GL(V), by the product rule
we have
Df(X)⋅Y=XY*+YX*. |
Consider first the case that X=I. Then Df(I)⋅Y=0 implies Y*=-Y; in other words, Y is skew-symmetric. But the skew-symmetric matrices have dimension (n2-n)/2, so the kernel of Df(I) has this dimension. By the dimension theorem of linear algebra, the rank of Df(I) is n2-(n2-n)/2=n(n+1)/2, which is the full rank.
For general X∈O(n), let Y′=X*Y. Then Df(X)⋅Y=0 reduces to Y′*=-Y,
again the skew-symmetric condition.
The set of all such Y′ have dimension (n2-n)/2; but multiplication by X*
is an automorphism
of GL(V), so the set of all Y also have the same dimension.
Thus Df(X) has full rank, as before.
SO(n) is of course just the part of O(n) that satisfies the additional condition detX=1. It has the same dimension as a manifold.
Notice that n(n-1)/2=(n2), the number of ways to choose 2 basis elements out of n.
We might naïvely think that an element X of SO(n) can be decomposed
into rotations on each of the coordinate 2-dimensional planes in n-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 V).
Nevertheless, on an “infinitesimal level”, the decomposition does work.
Suppose we are given a one-parameter subgroup22Given X∈SO(n), it can be shown with the orthogonal operator decomposition theorem that there is a one-parameter subgroup containing X. Hint:
eA=(cosθ-sinθsinθcosθ),if A=(0-θθ0).
Xt of SO(n).
From ODE theory,
it is known that Xt is given by the matrix exponential
etA,
where A is derivative of Xt at t=0.
Also, A must be skew-symmetric, because it is a tangent vector
to the curve Xt and so must lie in the tangent space to SO(n) (the kernel of Df(X)).
Since Xt=etA, we may reasonably ask: in what way does the matrix A represent the rotations Xt? The answer is suggested by the simpler case of n=3; by Rodrigues’ rotation formula, A is the operator Av=ω×v where ω is the angular velocity vector of the rotation.
The wedge product of the exterior algebra on V
generalizes the cross product
in higher dimensions (n>3),
so we should start looking there,
and one cannot but help notice that Λ2(V) also has dimension (n2).
The basis elements of this space are of the form ˆx∧ˆy,
where x and y are orthonormal basis vectors of V, and ˆx,ˆy∈V*
are defined by ˆx(w)=⟨x,w⟩,
ˆy(w)=⟨y,w⟩. By attempting to generalize the cross product representation for A, we can derive that the natural isomorphism between elements η∈Λ2(V) and the skew-symmetric matrices A should be given by:
⟨Av,w⟩=η(v,w). |
If η=ωˆx∧ˆy, a simple calculation shows Xt=etA is a rotation on the plane spanned by x and y with angular velocity ω!
So one can think of the infinitesimal decomposition of Xt, as the “angular velocity” with its (n2) components. The fact that angular velocity in our physical world can be represented by one vector, and the fact that rotations in ℝ3 have a single axis, is a consequence of the fact that (32)=3.
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 |