6 Representations of Lie groups and Lie algebras - generalities

6.1 Basics

Definition 6.1.

A finite-dimensional (complex) representation (ρ,V) of a Lie group G is a Lie group homomorphism

ρ:G→GL⁡(V),

where V is a finite-dimensional complex vector space.

Remark 6.2.

Infinite-dimensional representations are important, but subtle. In general one must equip V with some topology and add topological conditions to all notions which follow. For instance, one might take V to be a Hilbert space.

An example of such a representation arises naturally if you attempt to generalise the regular representation! One must take V to be something like the space of square-integrable functions on the group, rather than the space of arbitrary functions, to get a pleasant theory.

If ρ is a finite-dimensional representation of G as above, then we can take its derivative:

D⁢ρ:𝔤→𝔤⁢𝔩⁢(V)=End⁡(V),

mapping from the Lie algebra 𝔤 of G to the space of endomorphisms of V. Note that

End⁡(V)

is a Lie algebra with bracket

[S,T]=S∘T−T∘S.

The map D⁢ρ is a Lie algebra homomorphism. Often we write, abusively, ρ instead of D⁢ρ.

Note that choosing an isomorphism V≅ℂn induces isomorphisms GL⁡(V)≅GLn⁡(ℂ) and 𝔤⁢𝔩⁢(V)≅𝔤⁢𝔩n,ℂ.

Definition 6.3.

A (complex) representation (ρ,V) of a Lie algebra 𝔤 is a Lie algebra homomorphism

ρ:𝔤→𝔤⁢𝔩⁢(V),

where V is a complex vector space. That is,

  • •

    ρ is ℝ-linear;

  • •

    ρ⁢([X,Y])=[ρ⁢(X),ρ⁢(Y)].

Note that by Theorem 5.37 the differential of a Lie group representation is a Lie algebra representation.

Remark 6.4.

Warning! It is not the case that, if ρ is a Lie algebra representation, then

ρ⁢(X⁢Y)=ρ⁢(X)⁢ρ⁢(Y).

Indeed, in general X⁢Y need not be an element of the Lie algebra at all, and even if it is the displayed equation will not usually hold.

The notions of G-homomorphism (or 𝔤-homomorphism, or intertwiner), isomorphism, subrepresentation, and irreducible representation stay the same as for finite groups. For example, a 𝔤-homomorphism from (ρ,V) to (ρ′,V′) is a linear map ϕ:V→V′ such that

ϕ⁢(ρ⁢(X)⁢v)=ρ′⁢(X)⁢ϕ⁢(v)

for all v∈V and X∈𝔤.

Definition 6.5.

A ℂ-linear representation of 𝔤 is a complex representation ρ of 𝔤 such that

ρ⁢(λ⁢X)=λ⁢ρ⁢(X)

for all λ∈ℂ,X∈𝔤.

If G is a complex Lie group, then a holomorphic representation of G is a complex representation whose derivative is ℂ-linear; equivalently, the map G→GL⁡(V) is holomorphic.

Theorem 6.6.

Let G be a Lie group, 𝔤 be a Lie algebra.

  1. 1.

    If V1 and V2 are irreducible finite-dimensional representations of G or 𝔤, then

    dimHomG/𝔤⁡(V1,V2)={1if V1≅V20otherwise.

    If V1=V2, then any G- or 𝔤-homomorphism T:V→V is scalar.

  2. 2.

    Any irreducible finite-dimensional representation of an abelian Lie group or Lie algebra is one-dimensional.

  3. 3.

    If (ρ,V) is an irreducible finite-dimensional representation of G (or 𝔤) and Z (or 𝔷) is the center of G (or 𝔤) then there is a homomorphism χ:Z→ℂ× (or χ:Z→ℂ) such that

    ρ⁢(z)⁢v=χ⁢(z)⁢v

    for all z∈Z (or 𝔷) and v∈V. We call this the central character.

Proof.

The proofs are all the same as in the finite group case! ∎

Proposition 6.7.

Let (ρ,V) be a finite-dimensional representation of a Lie group G. Let D⁢ρ be its derivative.

  1. 1.

    If W⊂V is invariant under ρ⁢(G), then W is invariant under D⁢ρ⁢(𝔤).

  2. 2.

    If D⁢ρ is irreducible, then ρ is irreducible.

  3. 3.

    If ρ is unitary, that is, there is a basis for V such that ρ⁢(g)∈U⁡(n) for all g∈G, then D⁢ρ is skew-Hermitian, that is, D⁢ρ⁢(X)∈𝔲⁢(n) for all X∈𝔤 (using the same basis for V).

  4. 4.

    Let (ρ′,V′) be another finite-dimensional representation of G. If ρ≅ρ′, then D⁢ρ≅D⁢ρ′.

If G is connected, then the converses to these statements hold.

So, for connected Lie groups, we can test irreducibility and isomorphism at the level of Lie algebras.

Proof.

For (1), we know that ρ⁢(exp⁡(t⁢X))⁢(w)∈W for any X∈𝔤 and w∈W. Taking the derivative at t=0, it follows that D⁢ρ⁢(X)⁢(w)∈W as required. Part (2) follows from (1).

For (3), if ρ is unitary, then after choosing a basis appropriately it is a Lie group homomorphism ρ:G→U⁢(n). The derived homomorphism therefore lands in the Lie algebra 𝔲⁢(n) of U⁡(n).

For part (4), let T be a G-isomorphism, so that in particular,

T⁢ρ1⁢(exp⁡(t⁢X))⁢T−1=ρ2⁢(exp⁡(t⁢X))

for all X∈𝔤 and t∈ℝ. Taking the derivative at t=0 gives

T⁢D⁢ρ1⁢(X)⁢T−1=D⁢ρ2⁢(X)

so that T is a 𝔤-isomorphism as required.

If G is connected, then G is generated by exp⁡(𝔤). Hence all proofs above can be reversed. For example, for (1), suppose that W is preserved by D⁢ρ⁢(𝔤). If w∈W and X∈𝔤, then

ρ⁢(exp⁡(X))⁢w=exp⁡(D⁢ρ⁢(X))⁢w=∑n=0∞(D⁢ρ⁢(X))nn!⁢w∈W

as W is preserved by D⁢ρ⁢(X) and also closed. Since every g∈G can be written as a finite product of exp⁡(Xi) for Xi∈𝔤, we see that W is preserved by ρ⁢(G) as required. ∎

6.2 Standard constructions for representations

We give a list of various constructions with representations of Lie groups, and the analogous constructions for their derivatives.

The standard representation of a linear Lie group G⊆GLn⁡(ℂ) comes from its action on ℂn:

ρ⁢(g) =g
D⁢ρ⁢(X) =X.

The direct sum of representations (ρ1,V1), (ρ2,V2) is (ρ1⊕ρ2,V1⊕V2) with derivative

D⁢(ρ1⊕ρ2)=D⁢ρ1⊕D⁢ρ2.

The determinant representation of G⊂GLn⁡(ℂ) is det:G→ℂ∗ which sends g to det(g). We have

D⁢det(X)=tr⁡(X),

which follows from detexp⁡(t⁢X)=et⁢tr⁡(X).

If (ρ,V) is a representation of G, the dual representation (ρ∗,V∗) of (ρ,V) is defined by

(ρ∗⁢(g)⁢(λ))⁢(v)=λ⁢(ρ⁢(g−1)⁢(v)),

for λ∈V∗ a linear functional on V and g∈G. It has derivative

D⁢ρ∗⁢(X)⁢(λ)⁢(v)=−λ⁢(D⁢ρ⁢(X)⁢v).

Given a basis of V, then the matrix of ρ∗ with respect to the dual basis is

ρ∗⁢(g)=ρ⁢(g)−T,

which differentiates to

(D⁢ρ∗)⁢(X)=−D⁢ρ⁢(X)T.

If (ρ1,V1) and (ρ2,V2) are representations of G, then as before the tensor product representation ρ1⊗ρ2 is the representation on V1⊗V2 defined by

(ρ1⊗ρ2)⁢(g)=ρ1⁢(g)⊗ρ2⁢(g).

Then using the product rule one sees

D⁢(ρ1⊗ρ2)=D⁢ρ1⊗idV2+idV1⊗D⁢ρ2.

The symmetric square and alternating square are also as for finite groups. If (ρ,V) is a representation of G then Sym2⁡(V) has a representation Sym2⁡ρ:

Sym2⁡ρ⁢(g)⁢(v1⋅v2)=(ρ⁢(g)⁢(v1))⋅(ρ⁢(g)⁢(v2)),

and

D⁢Sym2⁡ρ⁢(X)⁢(v1⋅v2)=D⁢ρ⁢(X)⁢(v1)⋅v2+v1⋅D⁢ρ⁢(X)⁢(v2).

Similarly we have a representation Λ2⁢ρ on Λ2⁢(V):

Λ2⁢ρ⁢(g)⁢(v1∧v2)=ρ⁢(g)⁢(v1)∧ρ⁢(g)⁢(v2),
D⁢Λ2⁢ρ⁢(X)⁢(v1∧v2)=D⁢ρ⁢(X)⁢(v1)∧v2+v1∧D⁢ρ⁢(X)⁢(v2).

We can take tensor/symmetric/alternating products of more than one factor. Suppose (ρi,Vi) are representations of G.

  • •

    We form the tensor product

    V1⊗V2⊗…⊗Vl.

    It is generated by symbols v1⊗…⊗vl subject to the multilinear relations, that is, linearity in each slot:

    v1⊗…⊗(a⁢vi+b⁢vi′)⊗…⊗vl=a⁢(v1⊗…⊗vi⊗…⊗vl)+b⁢(v1⊗…⊗vi′⊗…⊗vl).

    One has

    dim(V1⊗V2⊗…⊗Vl)=∏i=1ldimVi.

    The action of G is as before: for g∈G, vi∈Vi,

    g⁢(v1⊗…⊗vl)=(g⁢v1)⊗…⊗(g⁢vl).

    The derivative is, for X∈𝔤 and vi∈Vi,

    X⁢(v1⊗…⊗vl)= (X⁢v1)⊗v2⊗…⊗vl
    +v1⊗(X⁢v2)⁢…⊗vl
    +…
    +v1⊗v2⁢…⊗(X⁢vl).

    We also write

    V⊗l=V⊗⋯⊗V.
  • •

    The lth symmetric power is the space Syml⁡(V) generated by symbols v1⁢⋯⁢vl with linearity in each slot and any permutation of the vectors giving the same element. We have

    dimSyml⁡(V)=(n+l−1l)=(n+l−1n−1)

    where dimV=n. Indeed, if e1,…,en is a basis for V then a basis for Syml⁡(V) is

    {ei1⁢…⁢eil:1≤i1≤i2≤…≤il≤n}

    from which finding the dimension is a simple counting problem.

    As for higher tensor powers, the actions of G and 𝔤 are

    g⁢(v1⁢⋯⁢vl)=(g⁢v1)⁢…⁢(g⁢vl),

    and

    X⁢(v1⁢⋯⁢vl)=(X⁢v1)⁢v2⁢…⁢vl+…+v1⁢…⁢vl−1⁢(X⁢vl).
  • •

    The lth alternating power is the space Λl⁢(V) generated by symbols v1∧⋯∧vl with linearity in each slot and having the alternating property: for any permutation σ∈Sl, we have

    vσ⁢(1)∧⋯∧vσ⁢(l)=ϵ⁢(σ)⁢(v1∧⋯∧vl).

    In particular, switching the places of two components reverses the sign, while v1∧⋯∧vl=0 if two of the vectors coincide (more generally, if they are linearly dependent).

    We have

    dimΛl⁢V=(nl)

    where dimV=n. Indeed, if e1,…,en are a basis for V then a basis for Λl⁢(V) is

    {ei1∧⋯∧eil:1≤i1<i2<…<il≤n}

    from which finding the dimension is a simple counting problem. In particular, Λn⁢ℂn is one-dimensional generated by e1∧⋯∧en.

    The representation on Λl⁢(V) is given again as above: for g∈G,

    g⁢(v1∧…∧vl)=(g⁢v1)∧…∧(g⁢vl),

    while for X∈𝔤

    X⁢(v1∧⋯∧vl)=(X⁢v1)∧v2∧…∧vl+…+v1∧…∧vl−1∧(X⁢vl).

To give an example of how to justify the claims about derivatives, we do the case of tensor products. Suppose V, W are vector spaces acted on by G. Let X∈𝔤, v∈V, w∈W. We must compute

dd⁢t⁢exp⁡(t⁢X)⁢v⊗exp⁡(t⁢X)⁢w|t=0.

Expanding:

exp⁡(t⁢X)⁢v⊗exp⁡(t⁢X)⁢w =(v+t⁢X⁢v+O⁢(t2))⊗(w+t⁢X⁢w+O⁢(t2))
=v⊗w+t⁢(X⁢v⊗w+v⊗X⁢w)+O⁢(t2).

This gives

X⁢(v⊗w) =dd⁢t⁢exp⁡(t⁢X)⁢v⊗exp⁡(t⁢X)⁢w|t=0
=X⁢v⊗w+v⊗X⁢w

as required.

Remark 6.8.

We defined tensor products (and so on) of representations of Lie groups and then differentiated them. We could also directly make these definitions with Lie algebras. For instance, if 𝔤 is a Lie algebra and V is a representation of 𝔤, we define the symmetric square representation on Sym2⁡(V) by

X⁢(v⁢w)=(X⁢v)⁢w+v⁢(X⁢w).

6.2.1 Functional constructions

We can construct representations as vector spaces of functions on topological spaces with actions of G. If G acts on a set X, then it also acts on the vector space of functions X→ℂ by (g⋅f)⁢(x)=f⁢(g−1⁢x). Usually this will be infinite dimensional, and so out of the scope of our course, but sometimes we can impose conditions allowing us to handle it. For example, GLn⁡(ℂ) acts on ℂn, and hence on the space of polynomial functions in n variables. Imposing a further restriction — to homogeneous polynomials of some fixed degree — gives a finite-dimensional representation. The derivative must be calculated on a case-by-case basis. The general scheme for doing this is:

(A⁢f)⁢(x)=dd⁢t⁢f⁢(exp⁡(−t⁢A)⁢x)|t=0

for A∈𝔤, x∈X, and f:X→ℂ suitably regular (e.g. smooth, or polynomial) such that this formula makes sense. You will work this out in a specific example in the second assignment, and we will also return to it in section 7.5.

6.3 The adjoint representation

Let G be a linear Lie group and 𝔤 be its Lie algebra. Then the adjoint representation Ad of G is the action on 𝔤 by conjugation. We usually write Adg instead of Ad⁡(g), so that

Adg⁡(Y)=g⁢Y⁢g−1

for g∈G and Y∈𝔤. By Proposition 5.25 (2), g⁢Y⁢g−1 is indeed in 𝔤. Thus the map g↦Adg is a Lie group homomorphism:

Ad:G⟶GL⁡(𝔤).
Remark 6.9.

If you look at how we proved that 𝔤 was closed under conjugation by G, you will see that we can write

Adg⁡(Y)=dd⁢t⁢g⁢exp⁡(t⁢Y)⁢g−1|t=0.

The derivative of Ad, denoted by ad, is called the adjoint representation of the Lie algebra 𝔤. Thus

ad=D⁢Ad.

Again, we write adX for ad⁡(X), so we have

ad:X∈𝔤↦adX∈End⁡(𝔤)=𝔤⁢𝔩⁢(𝔤).

By Theorem 5.37 we have the formula

Adexp⁡(X)=exp⁡(adX)

as elements of GL⁡(𝔤).

Theorem 6.10.

Let G and 𝔤 be as above and let X,Y∈𝔤. Then

  1. 1.
    adX⁡(Y)=[X,Y]=X⁢Y−Y⁢X.
  2. 2.

    The map ad is a Lie algebra homomorphism, so that

    ad[X,Y]=[adX,adY].

    Thus, for all Z∈𝔤,

    ad[X,Y]⁡(Z)=[adX,adY]⁢(Z)=adX⁡(adY⁡(Z))−adY⁡(adX⁡(Z)).
Proof.
  1. 1.

    Since Adexp⁡(t⁢X)⁡(Y)=exp⁡(t⁢X)⁢Y⁢exp⁡(−t⁢X), taking the differential at t=0, we get

    adX⁡(Y)=X⁢Y−Y⁢X=[X,Y].
  2. 2.

    The map ad is a Lie algebra homomorphism because it is the differential of a Lie group homomorphism.∎

Remark 6.11.

This explains the origin of the Jacobi identity:

[adX,adY]⁢(Z) =adX⁡(adY⁡(Z))−adY⁡(adX⁡(Z))
=[X,[Y,Z]]−[Y,[X,Z]]
=[X,[Y,Z]]+[Y,[Z,X]],

while

ad[X,Y]⁡(Z) =[[X,Y],Z]
=−[Z,[X,Y]].

Equating these gives the Jacobi identity.

Remark 6.12.

The first formula, adX⁡(Y)=[X,Y], could have been used to define the adjoint representation for any Lie algebra, without reference to Lie groups. The Jacobi identity is then used to show that adX is a Lie algebra homomorphism.

Remark 6.13.

Warning! It is very easy to misinterpret some of the formulas concerning the adjoint representation. For example, ad[X,Y]=[adX,adY] does not mean that

ad[X,Y]⁡(Z)=[adX⁡(Z),adY⁡(Z)],

but (as already noted and proved) that

ad[X,Y]⁡(Z)=[adX,adY]⁢(Z)=adX⁡(adY⁡(Z))−adY⁡(adX⁡(Z)).

Similarly, Adexp⁡(X)=exp⁡(adX) does not mean that exp⁡(X)⁢Y⁢exp⁡(−X) is equal to exp⁡([X,Y]) but rather is the identity

exp⁡(X)⁢Y⁢exp⁡(−X) =exp⁡(adX)⁢(Y)
=∑k=0∞(adX)kk!⁢(Y)
=∑k=0∞[X,[X,…,[X,Y]]⁢⋯]k!.
Proposition 6.14.

If G is abelian, so is 𝔤. If, moreover, G is connected, then the converse holds.

Proof.

Suppose that G is abelian. Then, for all g∈G and Y∈𝔤,

g⁢exp⁡(t⁢Y)⁢g−1=exp⁡(t⁢Y).

Taking the derivative at t=0 we see that g⁢Y⁢g−1=Y. Thus Ad is trivial. Differentiating, we see ad is trivial, so adX=0 for all X. Thus [X,Y]=0 for all X,Y∈𝔤 as required.

Conversely, suppose G is connected and 𝔤 is abelian. Then ad is trivial and, since G is connected, Ad is trivial. Thus g⁢Y⁢g−1=Y for all g∈G,Y∈𝔤. Thus g⁢exp⁡(Y)⁢g−1=exp⁡(Y) for all g∈G and all Y∈𝔤. Since exp⁡(𝔤) generates G, we see that G is commutative. ∎

6.4 The homomorphism SU⁢(2)→SO⁢(3)

We now return to the example of SU⁢(2) and SO⁢(3) from Section 5.8, and explain how the adjoint representation produces the homomorphism π:SU⁢(2)→SO⁢(3).

Consider the adjoint representation Ad:SU⁢(2)→GL⁡(𝔰⁢𝔲2). Define an inner product on 𝔰⁢𝔲2 by

⟨X,Y⟩=−2⁢tr⁡(X⁢Y).

(The factor of 2 is unimportant, it just makes the basis below orthonormal rather than orthonormal up to scalar.)

Exercise 6.15.

Show that ⟨⋅,⋅⟩ is a symmetric, positive definite bilinear form on 𝔰⁢𝔲2.

Show that it is preserved by the adjoint action of SU⁢(2), i.e. that

⟨g⁢X⁢g−1,g⁢Y⁢g−1⟩=⟨X,Y⟩

for all g∈SU⁢(2).

Choosing an orthonormal basis for 𝔰⁢𝔲2 with the inner product ⟨⋅,⋅⟩, we therefore have that Ad⁡(g)∈SO⁢(3) for all g∈SU⁢(2). Thus we obtain a Lie group homomorphism (renaming Ad to π)

π:SU⁢(2)⟶SO⁢(3).

To be more concrete, there is an orthonormal basis ℐ,𝒥,𝒦 of 𝔰⁢𝔲2 given by

12⁢(01−10),12⁢(0ii0),12⁢(i00−i)

respectively. We have [ℐ,ℐ]=0, [ℐ,𝒥]=𝒦 and [ℐ,𝒦]=−𝒥 which gives adℐ in this basis:

(D⁢π)⁢(ℐ)=adℐ=(00000−1010).

We write Jx for the matrix on the right hand side. Similarly, we have:

(D⁢π)⁢(𝒥)=(Jy) =(001000−100)
(D⁢π)⁢(𝒦)=(Jz) =(0−10100000).

Giving explicit equations for π (rather than D⁢π) is possible but less pleasant, so is left as an exercise.

Exercise 6.16.

Write down explicitly the image of (a−b¯ba¯)∈SU⁢(2) under π.

Finally, one can show that ker⁡(π) is a cyclic group of order 2.

Exercise 6.17.

Show that, if g∈SU⁢(2) satisfies g⁢X⁢g−1=X for all X∈𝔰⁢𝔲2, then g=±I. Deduce that

ker⁡(π)={±I}.

Since SU⁢(2) is simply-connected, this witnesses the fact that the fundamental group π1⁢(SO⁢(3)) is C2.

6.5 Representations of U(1) and Maschke’s theorem

We now discuss the representation theory of the unitary group U⁡(1)={ei⁢t:t∈ℝ}, which is isomorphic to SO⁢(2), the circle group. Its Lie algebra is i⁢ℝ⊂ℂ with trivial Lie bracket, which is isomorphic to ℝ.

Theorem 6.18.

All irreducible finite-dimensional representations of U⁡(1)={z∈ℂ;|z|=1} are one-dimensional. They are given by

z=ei⁢t↦ei⁢n⁢t=zn

for n∈ℤ.

Proof.

It follows from Schur’s lemma that all irreducible finite-dimensional representations of U⁡(1) are one-dimensional, so are homomorphisms U⁡(1)→ℂ×. Since U⁡(1) is connected, such a homomorphism is determined by the derivative 𝔲1→𝔤⁢𝔩1⁢(ℂ)=ℂ, which has the form i⁢t↦λ⁢t for some λ∈ℂ. As in Example 5.54, this exponentiates to a map U⁡(1)→ℂ× if and only if λ=i⁢n for some n∈ℤ, giving the homomorphism z↦zn. ∎

Theorem 6.19.
  1. 1.

    All finite-dimensional representations of U⁡(1) are unitary.

  2. 2.

    All finite-dimensional representations of U⁡(1) are completely reducible, that is, decompose as a direct sum of irreducible representations.

Proof.
  1. 1.

    The details of this are in Problem 66. The idea is to start with any Hermitian form (,) on a representation (ρ,V) of U⁡(1) and replace it by the averaged Hermitian form

    (v,w)G=1π⁢∫02⁢π(ρ⁢(ei⁢t)⁢v,ρ⁢(ei⁢t)⁢w)⁢𝑑t

    which is positive definite and G-invariant.

  2. 2.

    This follows from (1) as in the proof of Maschke’s theorem for finite groups. Here is another proof: take (ρ,V), a finite-dimensional representation of U⁡(1) of dimension n. Consider its differential D⁢ρ:𝔲⁢(1)=i⁢ℝ→𝔤⁢𝔩n,ℂ and let A=D⁢ρ⁢(i). After conjugation, we may write A=D+N with D diagonal with integer entries, N upper triangular with zeros on the diagonal, and D and N commuting. We have that ρ⁢(ei⁢t)=exp⁡(i⁢t⁢D)⁢exp⁡(i⁢t⁢N). By Theorem 6.18, the eigenvalues of D are integers, so the eigenvalues of exp⁡(i⁢t⁢D) are complex numbers of absolute value 1. Setting t=2⁢π, we have exp⁡(i⁢t⁢D)=I and so, since ρ⁢(e2⁢π⁢i⁢t)=ρ⁢(1)=I, we must have exp⁡(2⁢π⁢i⁢N)=I. But Problem 51 shows that exp is injective when restricted to the set of strictly upper-triangular matrices, whence N=0.

    Thus (after conjugating) ρ⁢(g) is diagonal for all g∈U⁡(1), so V is completely reducible.

∎

Remark 6.20.

Complete irreducibility does not hold for representations of a general Lie group. For example, the standard representation of

N={(1x01):x∈ℝ}

does not decompose into a direct sum of two one-dimensional invariant subspaces (otherwise we could diagonalize (1x01), which is impossible). Furthermore, it is not unitary (as unitary matrices are diagonalizable).

Some of this actually generalizes substantially:

Theorem 6.21.

(Maschke’s theorem for compact Lie groups) Let G be a compact Lie group.

  1. 1.

    Any finite-dimensional representation of G is unitarizable.

  2. 2.

    (complete reducibility) Any finite-dimensional representation of G is a direct sum of irreducible representations.

Proof.

The second part is proved exactly as for finite groups using the averaging technique. Let (ρ,V) be a finite-dimensional representation and let W be a subrepresentation. Let ⟨,⟩ be the G-invariant Hermitian inner product on V guaranteed by the first part. Then the orthogonal complement W⟂ is also a subrepresentation, and V=W⊕W⟂. Iterating, we obtain that V is a direct sum of irreducible representations.

The proof of the first part also uses the same idea as for finite groups. Take (,) to be any Hermitian inner product on V. Then define

⟨v,w⟩=∫g∈G(g⁢v,g⁢w)⁢𝑑g.

This is also a Hermitian inner product, and

⟨h⁢v,h⁢w⟩ =∫g∈G(g⁢h⁢v,g⁢h⁢w)⁢𝑑g
=∫k∈G(k⁢v,k⁢w)⁢d⁢(k⁢h−1) (putting k=g⁢h)
=∫k∈G(k⁢v,k⁢w)⁢𝑑k (since d⁢k=d⁢(k⁢h−1))
=⟨v,w⟩.

The challenge here is to show that there is an appropriate notion of ∫g∈Gf⁢(g)⁢𝑑g for which the step “d⁢k=d⁢(k⁢h−1)” is valid — this goes by the name of ‘existence of Haar measure’. For U⁢(1) you can do it by hand, see problem 66. ∎