3.12. Lecture 12
3.12.1. Weights
We fix the following basis of :
and | ||||
These satisfy the following commutation relations, which are fundamental (check them!):
and | ||||
We will decompose representations of into their eigenspaces for the action of . The elements and will then move vectors between these eigenspaces, and this will let us analyse the representation theory of .
Since is simply connected, we have
Proposition 3.12.1.
Every finite-dimensional representation of is the derivative of a unique representation of .
Note that we have not proved this. However, we will use the result freely in what follows. It is possible to give purely algebraic proofs of all the results for which we use the previous proposition, but it is more complicated.
Proposition 3.12.2.
Let be a finite-dimensional complex-linear representation of . Then is diagonalisable with integer eigenvalues.
Proof.
By the previous proposition is the derivative of a representation of . We can identify as a subgroup of by the following map:
By Maschkeโs Theorem for , Theoremย 2.11.2(ii), on can be diagonalised. Taking the derivative, we see that can be diagonalised and hence so can .
In fact, the classification of irreducible representations of shows that has eigenvalues in and so has eigenvalues in . โ
Remark 3.12.3.
The proof of the proposition is a instance of Weylโs unitary trick. We turned the action of , which infinitesimally generates a non-compact one-parameter subgroup of , into the action of the compact group infinitesimally generated by . The action of this compact subgroup can be diagonalised.
The proposition does not hold for an arbitrary representation of the one-dimensional Lie algebra generated by . Namely, the map cannot be diagonalised. It is implicitly the interaction of with the other generators and which makes the proposition work.
Let be a finite-dimensional complex-linear representation of . By Proposition 3.12.2 we get a decomposition
where each is the eigenspace for with eigenvalue :
Definition 3.12.5.
-
(i)โ
Each occurring in equation (3.12.4) is called a weight (more precisely, an -weight) for the representation .
-
(ii)โ
Each is called a weight space for .
-
(iii)โ
The non-zero vectors in are called weight vectors for .
Note that the weights corresponding to form a multiset, in other words a set with repeated elements. We say that a weight has multiplicity if it appears in the multiset times (in general, the multiplicity of a weight is the dimension of the weight space).
Example 3.12.6.
The set of weights of the zero representation is empty, while the trivial representation has a single weight, .
Example 3.12.7.
Let be the standard representation. Write for the standard basis. Then and . Thus the set of weights of is .
Example 3.12.8.
We consider the adjoint representation of on itself. By the commutation relations, we see directly that has eigenvalues (), (), and (), so the set of weights is
The non-zero weights and are called the roots of and their weight spaces are the root spaces and . The weight vectors are called root vectors.
Thus we have the root space decomposition
Example 3.12.9.
We consider where is the standard representation. Then
and similarly
so that the weights are .
Example 3.12.10.
Take . As is a basis of the standard representation, a set of basis vectors for is
Given some arbitrary in the basis we calculate
Thus the weights are:
We will soon see an explanation for this pattern.
Proposition 3.12.11.
If , are representations of then:
-
(i)โ
.
-
(ii)โ
.
-
(iii)โ
.
Proof.
Let be a basis of weight vectors of such that has weight , and let be similar for with weights . Then
So is a basis of with the given weights. Parts (ii) and (iii) are left as an exercise (Problemย 3.12.2). โ
Example 3.12.12.
We should illustrate what is meant by โdistinctโ: it is โdistinctโ as elements of the multiset. Suppose that the weights of are . Then to obtain the weights of we add together unordered, distinct, pairs of these in every possible way, getting: