What should you be acquainted with? 1. Linear Algebra, in particular inner product spaces both over the real and the complex numbers. 2. Very basics in Group Theory and Complex Analysis. This chapter is essentially taken from Brian Hall, Lie Groups, Lie Algebras, and Representations, Chapter 6.
The above commutation relations give us the following roots
i.e. all vectors , are root vectors. The following is a straightforward generalization of example:
First we proof that the space generated by is invariant: By the reordering lemma it suffices to prove that all elements of the form
live in , but and and thus is -invariant by its definition. Since is cyclic, we conclude: . Now suppose is any vector in of the form ; since are root vectors with roots , is a weight vector and by lemma its weights are stricly lower than unless . Therefore has a basis of weight vectors and each weight of is stricly lower than . By lemma we are done.
Now assume moreover that is irreducible, then any vector in is cyclic and thus any non zero weight vector for a maximal weight is cyclic and satisfies , i.e. every irreducible representation is a highest weight cyclic representation. Also the converse holds
As is finite dimensional it decomposes into subspaces , such that is irreducible. Each of these spaces in turn decomposes by proposition into its weight spaces and by lemma the weight vector must lie in one of these spaces and consequently in one of the spaces . Since is cyclic and is invariant, we must have .
So far we have established that an irreducible representation is the same as a highest weight cyclic representation, moreover the weight space of the highest weight of this representations is one dimensional and the components of the heighest weight are non negative. Our next goal is to verify the following
Let be the homogeneous polynomials on of degree and the representation . Let us first compute : For any holomorphic function we have (cf. section)
and thus
Next we will verify that any non trivial invariant subspace contains the polynomial : and act on a polynomial by decreasing the degree in and , respectively, by one and increasing the degree of by one. will be mapped by to a non zero multiple of and this gets mapped by to a non zero multiple of . All monomials with or are mapped to . Now if is a polynomial in an invariant subspace it must be a linear combination of monomials; we pick the one with the lowest degree , say. Then is just a non zero multiple of . The space generated by is just , i.e. and thus is irreducible. Eventually , i.e. is a highest weight cyclic vector with weight , because , .
First we show, that for all the vector is a weight vector with weight : for all we have and (cf. example) and thus
where the last equality follows from the fact that acts isometrically on . Therefore maps the weight space with weight into the weight space with weight and since and are representation is the inverse of this map, i.e. the dimensions of the weight spaces with weight and coincide.
Of course only those elements are of interest for which is different from the identity, thus we factor the kernel of : is given by
which is the centralizer of in , cf. section. is the set of all diagonal matrices satisfying
Factorizing gives us an injective homomorphism . The group is called the Weyl group of ; it's isomorphic to : to every permutation we associate it's permutation matrix and, in order to get a determinant one matrix, we multiply by . We define the action of on by , where is identified with a permutation of three elements. Let us compute the action of the permutation on :
In general (cf. example) permutes the entries of : .
We only need to prove that these conditions are sufficient. By lemma each point in on the boundary of is a weight. So assume is in the interior of ; w.l.o.g. we may also assume: , then
Starting at in the direction of we end up in after steps. lies on the boundary of the convex hull of , for it cannot lie on a boundary part of parallel to an the intersection with the line passing through and parallel to is given by the equation ; putting gives , i.e. and thus , which is not in . Thus is a weight and so is its reflection about the line orthogonal to ; by lemma must also be a weight.