4.17. Lecture 17
4.17.1. The Lie algebra
We study the Lie algebra
of traceless matrices. It has dimension . We first need to find the analogue of the standard basis of . We denote by the matrix with a in row and column , and elsewhere. Then if and only if . The analogue of will be the entire subalgebra of diagonal matrices.
Proposition 4.17.1.
The set , given by
is an abelian subalgebra.
Proof.
It is straightforward to see this is a subalgebra as it is closed under scalar multiplication, addition and the Lie bracket. It is abelian as diagonal matrices commute with each other. โ
We call the (standard) Cartan subalgebra of . We pick as a basis of the elements
and | ||||
and also define .
Next we consider the adjoint action of on , seeking eigenvectors and eigenvalues, i.e.
Thus is a basis of simultaneous eigenvectors in for the adjoint action of .
4.17.2. Weights
Suppose that is a finite-dimensional complex-linear representation of . Suppose that is an eigenvector for all , (called a simultaneous eigenvector). Then, for each , there is an such that . Since is complex-linear, is a complex-linear map . In other words, is an element of the dual space . This motivates the following definition:
Definition 4.17.2.
Suppose that is a representation of . Then a weight vector in is such that there is (the weight) with:
for all .
The weight space of is
On we have some โobviousโ maps given by
These span , subject to the relation11 1 More precisely, is isomorphic to the quotient of the three dimensional vector space with basis by the subspace spanned by .
We compute the weights of some particular representations.
Example 4.17.3.
If is the standard representation of (for which for all ), then the standard basis vectors are all weight vectors:
from which we see that for all . Hence is a weight vector with weight .
Example 4.17.4.
If is the dual of the standard representation then it has a basis defined by
One can show that is a weight vector of weight , so the weights are . See problemย 4.17.3.
Example 4.17.5.
Let be the symmetric square of the standard representation. The rules for calculating the weights of are the same as for โ so, for the symmetric square, we add all unordered pairs of weights of . For details see sectionย 4.18.3 The weights of are and so the weights of are
Note that, if we wanted, we could also write etc.
Example 4.17.6.
Let with the adjoint representation defined by . As already observed, we have
for and , while for . Thus the weights of the adjoint representation are () and . The weight space for is , which has dimension two with basis and ; we say that the weight has multiplicity two in . We obtain:
Definition 4.17.7.
A root of is a non-zero weight of the adjoint representation. A root vector is a weight vector of a root, and a root space is the weight space of a root.
In other words, a root with root vector is a non-zero element such that
We write
for the set of roots of . Out of these, we call the positive roots and the negative roots. We write ; these are the simple roots. Note that is the sum of the two simple roots. We will sometimes write for the root .
Finally, we have the root space or Cartan decomposition
where the are the root spaces, which are all one-dimensional.
4.17.3. Exercises
Problemย 46. Verify that
and
Problemย 47. Work through all the theory in Sectionย 4.17.1 for the case of . What are the roots and root spaces? What is the relation between the weights (as linear maps on ) and between the weights defined in section 3?
Problemย 48. Let be the dual of the standard representation, with basis dual to the standard basis.
-
(a)โ
Show that the are weight vectors with weights .
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(b)โ
Find the action of each on and deduce that is a highest weight vector with weight .