6 SL2

6.1 Weights

We fix the following ’standard’ basis of 𝔰𝔩2,:

H =(100-1),
X =(0100),
and
Y =(0010).

These satisfy the following commutation relations, which are fundamental (check them!):

[H,X] =2X,
[H,Y] =-2Y,
and
[X,Y] =H.

We decompose representations of 𝔰𝔩2, into their eigenspaces for the action of H. The elements X and Y will then move vectors between these eigenspaces, and this will let us analyze the representation theory of 𝔰𝔩2,.

Since SL2() is simply connected, we have

Proposition 6.1.

Every finite-dimensional representation of 𝔰𝔩2, is the derivative of a unique representation of SL2().

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 6.2.

Let (ρ,V) be a finite-dimensional complex-linear representation of 𝔰𝔩2,. Then ρ(H) is diagonalizable with integer eigenvalues.

Proof.

By the previous proposition ρ is the derivative of a representation ρ~ of SL2(). We can identify U(1) as a subgroup of SL2() by the following map:

f:eit(eite-it).

By Maschke’s Theorem for U(1), ρ((eite-it)) on V can be diagonalized. Taking the derivative, we see that ρ((i00-i)) can be diagonalized and hence so can ρ(H)=-iρ((i00-i)).

In fact, the classification of irreducible representations of U(1) shows that ρ(iH) has eigenvalues in i and so ρ(H) has eigenvalues in . ∎

Remark 6.3.

The proof of the proposition is a instance of Weyl’s unitary trick. We turned the action of H, which infinitesimally generates a non-compact one-parameter subgroup of SL2(), into the action of the compact group U(1) infinitesimally generated by iH. The action of this compact subgroup can be diagonalized.

The proposition does not hold for an arbitrary representation of the one-dimensional Lie algebra 𝔥=H generated by H. Namely, the map zH(1z01) cannot be diagonalized. It is implicitly the interaction of H with the other generators X and Y which makes the proposition work.

Let (ρ,V) be a finite-dimensional complex-linear representation of 𝔰𝔩2,. By Proposition LABEL:H-diag we get a decomposition

V=αVα

where each Vα is the eigenspace for ρ(H) with eigenvalue α:

Vα={vV:ρ(H)v=αv}.
Definition 6.4.
  1. 1.

    Each α occurring in equation (LABEL:weight-dec) is called a weight (more precisely, an H-weight) for the representation ρ.

  2. 2.

    Each Vα is called a weight space for ρ.

  3. 3.

    The nonzero vectors in Vα are called weight vectors for ρ.

Example 6.5.

The set of weights of the zero representation is empty, while the trivial representation has a single weight, 0.

Example 6.6.

Let V=2 be the standard representation. Write e1,e-1 for the standard basis. Then He1=e1 and He-1=-e-1. Thus the set of weights of V is {±1}.

Example 6.7.

We consider the adjoint representation ad of 𝔤=𝔰𝔩2, on itself. By the commutation relations, we see directly that adH has eigenvalues 0 ([H,H]=0), 2 ([H,X]=2X), and -2 ([H,Y]=-2Y), so the set of weights is

{-2,0,2}.

The non-zero weights 2 and -2 are called the roots of 𝔰𝔩2, and their weight spaces are the root spaces 𝔤2 and 𝔤-2. The weight vectors are called root vectors.

Thus we have the root space decomposition

𝔰𝔩2, =𝔤0𝔤2𝔤-2
=HXY.
Example 6.8.

We consider 22 where 2 is the standard representation. Then

H(e1e1)=(He1)e1+e1He1=2e1e1

and similarly

H(e1e-1)=H(e-1e1)=0,H(e-1e-1)=-2e-1e-1

so that the weights are {-2,0,0,2}. Note that this is a multiset — a set with repeated elements — and we say that the weight 0 has ‘multiplicity two’ (in general, the multiplicity of a weight is the dimension of the weight space).

Example 6.9.

Take V=Symk(2). A set of basis vectors is

{e1ae-1b:a,b0,a+b=k}.

We calculate

X(e1ae-1b) =a(Xe1)e1a-1e-1b+b(Xe-1)e1ae-1b-1
=(a-b)e1ae-1b.

Thus the weights are (writing b=k-a):

{-k,2-k,4-k,,k-4,k-2,k}.

We will soon see an explanation for this pattern.

6.1.1 Highest weights

The following is our first version of the fundamental weight calculation.

Lemma 6.10.

Let (ρ,V) be a complex-linear representation of 𝔰𝔩2,. Let α be a weight of V and let vVα. Then

X(v)Vα+2

and

Y(v)Vα-2.

Thus we have three maps:

H :VαVα
X :VαVα+2
Y :VαVα-2.
Proof.

We have, for vVα,

ρ(H)ρ(X)v =[ρ(H),ρ(X)]v+ρ(X)ρ(H)v
=ρ([H,X])v+ρ(X)ρ(H)v
=2ρ(X)v+αρ(X)v
=(α+2)ρ(X)v.

So ρ(X)vVα+2 as required.

The claim about the action of Y is proved similarly. ∎

Definition 6.11.

A vector vVα is a highest weight vector if it is a weight vector and if

Xv=0.

In this case we call the weight of v a highest weight.

Lemma 6.12.

Any finite-dimensional complex linear representation V of 𝔰𝔩2, has a highest weight vector.

Proof.

Indeed, let α be the numerically greatest weight of V (there must be one, as V is finite-dimensional) and let v be a weight vector of weight α. Then Xv has weight α+2 by the fundamental weight calculation, so must be zero as α was maximal. ∎

Example 6.13.

Let V=22. Then the highest weight vectors are e1e1 and e1e-1-e-1e1.

These are easily checked to be highest weight vectors — the first is killed by X since Xe1=0, the second becomes

e1e1-e1e1=0.

It is left to you to check that there are no further highest weight vectors.