Complete Reducibility
Building new representations from old ones, we found that the direct sum runs several
representations side by side without interaction, so that a
direct sum of representations
decomposes into its summands as a matter of construction. The question we did not answer
was the reverse one. Given a representation handed to us, can we always take it apart into
irreducible pieces? An
irreducible
representation is one that cannot be reduced at all, and these are the atoms we would like
to build everything from. The favorable situation is the one in which every representation
is a direct sum of such atoms.
Definition: Completely Reducible Representation
A finite-dimensional representation of a group or Lie algebra is
completely reducible if it is isomorphic to a direct sum of finitely
many irreducible representations.
Two remarks make the definition usable. First, a nonzero invariant subspace
\(U\) of a representation \(\Pi\) on \(V\) carries a representation of its own,
the restriction \(A \mapsto \Pi(A)|_U\). Each \(\Pi(A)\) maps \(U\) into itself,
its inverse \(\Pi(A^{-1})\) does the same, so \(\Pi(A)|_U\) is invertible on
\(U\), and its matrix entries in a basis of \(U\) are linear functions of those
of \(\Pi(A)\), so the restriction is again a Lie group homomorphism. For a Lie
algebra representation the restriction is a Lie algebra homomorphism for the
same reason. An invariant subspace is called irreducible when the restricted
representation is irreducible. Second, complete reducibility can be read
internally. The space \(V\) is completely reducible exactly when
\(V = U_1 \oplus \cdots \oplus U_k\) for irreducible invariant subspaces
\(U_j\). Given such a decomposition, the map \(v \mapsto (u_1, \dots, u_k)\)
sending each vector to its components is an isomorphism onto the direct sum of
the restrictions. Conversely, an isomorphism
\(\phi : V \to V_1 \oplus \cdots \oplus V_k\) onto a direct sum of irreducible
representations pulls the coordinate subspaces back to invariant subspaces
\(U_j := \phi^{-1}(V_j)\), each irreducible, with
\(V = U_1 \oplus \cdots \oplus U_k\). We use the internal form throughout.
The definition asks for a decomposition to exist. It says nothing about whether every
representation of a given group admits one. Admitting one in every case is a property of the group itself, and it
deserves its own name.
Definition: The Complete Reducibility Property
A group or Lie algebra has the complete reducibility property if every
finite-dimensional representation of it is completely reducible.
Most groups and Lie algebras do not have this property. The point of the next two sections
is to identify a large and important class that does, namely the compact matrix Lie
groups. We also extract from the proof the structural mechanism that makes complete
reducibility work, namely an invariant complement. We begin with an example showing that
the property genuinely can fail, so that the theorems to come are not vacuous.
Example: A Representation That Is Not Completely Reducible
Let \(\Pi : \mathbb{R} \to GL(2, \mathbb{C})\) be given by
\[
\Pi(x) = \begin{pmatrix} 1 & x \\ 0 & 1 \end{pmatrix}.
\]
Then \(\Pi\) is a representation of \(\mathbb{R}\), but it is not completely reducible.
Proof:
That \(\Pi\) is a representation is the matrix identity
\[
\Pi(s)\,\Pi(x) = \begin{pmatrix} 1 & s \\ 0 & 1 \end{pmatrix}
\begin{pmatrix} 1 & x \\ 0 & 1 \end{pmatrix}
= \begin{pmatrix} 1 & s + x \\ 0 & 1 \end{pmatrix} = \Pi(s + x),
\]
so \(\Pi\) carries addition in \(\mathbb{R}\) to multiplication in \(GL(2, \mathbb{C})\).
The additive group \(\mathbb{R}\) is a matrix Lie group, since
\(x \mapsto \Pi(x)\) identifies it with the closed subgroup of
\(GL(2, \mathbb{C})\) of upper unitriangular matrices with real upper-right entry,
and \(\Pi\) is smooth, its entries being polynomial in \(x\).
Let \(\{e_1, e_2\}\) be the standard basis of \(\mathbb{C}^2\). Since
\(\Pi(x)\,e_1 = e_1\) for every \(x\), the line \(\langle e_1 \rangle\) is an invariant
subspace. We claim it is the only nontrivial invariant subspace. Suppose \(V\)
is a nonzero invariant subspace containing a vector outside \(\langle e_1 \rangle\), say
\(v = a e_1 + b e_2\) with \(b \neq 0\). Invariance gives \(\Pi(1) v \in V\), hence also
\[
\Pi(1) v - v = b\, e_1 \in V.
\]
Because \(b \neq 0\), this forces \(e_1 \in V\), and then
\(e_2 = (v - a e_1)/b \in V\) as well. Thus \(V = \mathbb{C}^2\). Every invariant
subspace is therefore one of \(\{0\}\), \(\langle e_1 \rangle\), or \(\mathbb{C}^2\).
Suppose, for contradiction, that \(\mathbb{C}^2\) were a direct sum of irreducible
invariant subspaces. Each summand has dimension \(1\) or \(2\). A two-dimensional
summand would be all of \(\mathbb{C}^2\), making \(\mathbb{C}^2\) itself irreducible.
But \(\langle e_1 \rangle\) is a nontrivial invariant subspace, so \(\mathbb{C}^2\) is
not irreducible. The decomposition would therefore have to be a sum of two
one-dimensional invariant subspaces. Yet we showed \(\langle e_1 \rangle\) is the
only one-dimensional invariant subspace, and a space cannot be the direct sum
of one line with itself. No such decomposition exists, so \(\Pi\) is not completely
reducible.
The failure is instructive. The invariant line \(\langle e_1 \rangle\) has no invariant
complement. Any complementary line is moved off itself by some \(\Pi(x)\). Complete
reducibility, when it holds, is precisely the guarantee that such a complement can always
be found. The next section makes that equivalence exact.
Invariant Complements
A general subspace of a vector space always has a complement, since one simply extends a
basis. What the example of the previous section showed is that an invariant
subspace need not have an invariant complement. The following proposition shows
that complete reducibility is exactly the condition that repairs this. In a completely
reducible representation, every invariant subspace splits off, and moreover each invariant
piece is itself completely reducible. This is the structural fact that the deeper theorems
of the next sections will deliver, and it is what makes the irreducible decomposition
usable rather than merely existent.
Proposition (Invariant Complements)
Let \(V\) be a completely reducible representation of a group or Lie algebra. Then the
following hold.
-
For every invariant subspace \(U\) of \(V\), there is an invariant subspace \(W\)
such that \(V = U \oplus W\).
-
Every nonzero invariant subspace of \(V\) is itself completely reducible.
Proof of Point 1:
By complete reducibility, write
\[
V = U_1 \oplus U_2 \oplus \cdots \oplus U_k,
\]
where each \(U_j\) is an irreducible invariant subspace, and let \(U\) be any
invariant subspace of \(V\). If \(U = V\), take \(W = \{0\}\) and there is nothing to
prove. If \(U \neq V\), then some summand is not contained in \(U\). Choose \(j_1\)
with \(U_{j_1} \not\subseteq U\). Because \(U_{j_1}\) is irreducible and
\(U_{j_1} \cap U\) is an invariant subspace of \(U_{j_1}\) that is not all of
\(U_{j_1}\), we must have \(U_{j_1} \cap U = \{0\}\). Consequently the sum
\(U + U_{j_1}\) is direct.
If \(U + U_{j_1} = V\) we are finished, with \(W = U_{j_1}\). Otherwise some summand
is not contained in \(U + U_{j_1}\). Choose \(j_2\) with
\(U_{j_2} \not\subseteq U + U_{j_1}\). The same irreducibility argument applied to
\(U_{j_2}\) gives \((U + U_{j_1}) \cap U_{j_2} = \{0\}\), so \(U + U_{j_1} + U_{j_2}\)
is direct. Proceeding in this way, and using that \(V\) is finite-dimensional so the
process terminates, we obtain indices \(j_1, j_2, \dots, j_l\) with
\[
U + U_{j_1} + \cdots + U_{j_l} = V
\]
and the sum direct. Setting \(W := U_{j_1} + \cdots + U_{j_l}\), which is an invariant
subspace as a sum of invariant subspaces, gives \(V = U \oplus W\), as required.
Proof of Point 2:
Let \(U\) be an invariant subspace of \(V\). We first show that \(U\) inherits the
invariant-complement property of Point 1 internally. If \(X \subseteq U\) is an
invariant subspace, then \(X\) has an invariant complement within \(U\). By
Point 1 applied in \(V\), there is an invariant subspace \(Y\) with
\(V = X \oplus Y\). Put \(Z := Y \cap U\), an invariant subspace contained in \(U\).
We claim \(U = X \oplus Z\).
For any \(u \in U\), write \(u = x + y\) with \(x \in X\) and \(y \in Y\). Since
\(X \subseteq U\), we have \(x \in U\), and therefore \(y = u - x \in U\), so
\(y \in Y \cap U = Z\). This shows \(U = X + Z\). The sum is direct because
\(X \cap Z \subseteq X \cap Y = \{0\}\). Hence \(U = X \oplus Z\), establishing the
internal invariant-complement property.
We may now decompose \(U\) into irreducibles. If \(U\) is irreducible, it is already a
(one-term) direct sum of irreducibles. If not, \(U\) has a nontrivial invariant
subspace \(X\), and by the property just proved \(U = X \oplus Z\) for some invariant
\(Z\). If \(X\) and \(Z\) are irreducible we are done. If not, we apply the same
splitting to whichever factor is reducible. Since \(U\) is finite-dimensional, each
split strictly lowers the dimension of the factor being decomposed, so the process
terminates with \(U\) written as a direct sum of irreducible invariant subspaces. Thus
\(U\) is completely reducible.
The first point is the one we will use directly. It converts the abstract existence of an
irreducible decomposition into the concrete ability to peel off any invariant subspace
with an invariant complement still attached. The remaining task is to find groups for
which the hypothesis actually holds, namely complete reducibility of every
representation. The route runs through inner products.
The Unitarian Trick
Inner products give complete reducibility almost for free. If a representation preserves an
inner product, then the orthogonal complement of an invariant subspace is again invariant,
and orthogonal complements always exist. The work, carried out in the theorem that follows,
is to manufacture such an inner product for any representation of a compact group by
averaging an arbitrary one over the group. That averaging step is the device known as the
unitarian trick, and it is the reason compact groups are so well behaved.
Proposition (Unitary Representations Are Completely Reducible)
Let \(G\) be a matrix Lie group and let \(\Pi\) be a finite-dimensional
unitary representation
of \(G\). Then \(\Pi\) is completely reducible. Likewise, if \(\mathfrak{g}\) is a real
Lie algebra and \(\pi\) is a finite-dimensional representation of \(\mathfrak{g}\) on an
inner product space with \(\pi(X)^\ast = -\pi(X)\) for all \(X \in \mathfrak{g}\), then
\(\pi\) is completely reducible.
Proof:
Let \(V\) denote the inner product space on which \(\Pi\) acts, with inner product
\(\langle \cdot, \cdot \rangle\). The crux is the claim that the orthogonal complement
of an invariant subspace is again invariant. Let \(W \subseteq V\) be an invariant
subspace and \(W^{\perp}\) its orthogonal complement, so that
\(V = W \oplus W^{\perp}\) as inner product spaces by the
projection theorem,
which applies because \(V\), being finite-dimensional, is complete, and
\(W\) is
closed.
Because \(\Pi(A)\) preserves the inner product and
\(\Pi(A)\Pi(A^{-1}) = I\), for any \(w \in W\) and any \(v \in W^{\perp}\),
\[
\begin{align*}
\langle \Pi(A) v, w \rangle
&= \langle \Pi(A) v, \Pi(A)\Pi(A^{-1}) w \rangle = \langle v, \Pi(A^{-1}) w \rangle \\\\
&= \langle v, w' \rangle = 0,
\end{align*}
\]
where \(w' := \Pi(A^{-1}) w\) lies in \(W\) by invariance, so the pairing vanishes
because \(v \perp W\). Thus \(\Pi(A) v \perp W\), that is, \(\Pi(A) v \in W^{\perp}\),
and \(W^{\perp}\) is invariant.
The Lie algebra statement follows from the same computation, with
skew-adjointness in place of unitarity, where \(T^\ast\) denotes the adjoint
of an operator \(T\) with respect to the inner product, characterized by
\(\langle Tv, w \rangle = \langle v, T^\ast w \rangle\). Let \(V\) now denote the inner product
space on which \(\pi\) acts,
and let \(W \subseteq V\) be invariant under \(\pi\), so that \(\pi(X) w \in W\) for
every \(X \in \mathfrak{g}\) and every \(w \in W\). Then for any \(X \in \mathfrak{g}\),
any \(w \in W\), and any \(v \in W^{\perp}\),
\[
\begin{align*}
\langle \pi(X) v, w \rangle
&= \langle v, \pi(X)^\ast w \rangle \\\\
&= \langle v, -\pi(X) w \rangle = 0,
\end{align*}
\]
where \(-\pi(X) w\) lies in \(W\), by invariance of \(W\) together with its closure
under scalar multiplication, so the pairing vanishes because \(v \perp W\). Hence
\(\pi(X) v \in W^{\perp}\), and \(W^{\perp}\) is invariant under \(\pi\) as well.
With the orthogonal complement of an invariant subspace known to be invariant, the
decomposition is immediate. If \(V\) is irreducible we are done. Otherwise choose an
invariant subspace \(W\) with \(\{0\} \neq W \neq V\). Then \(V = W \oplus W^{\perp}\)
with both summands invariant, hence representations in their own right. Each of \(W\)
and \(W^{\perp}\) is either irreducible or splits further as an orthogonal direct sum
of invariant subspaces. Since \(V\) is finite-dimensional this cannot continue
indefinitely, and we arrive at a decomposition of \(V\) into irreducible invariant
subspaces. Hence \(\Pi\) is completely reducible, and the same induction applied to
\(\pi\) gives the Lie algebra statement.
The proposition reduces complete reducibility to the existence of an invariant inner
product. For a compact group such an inner product can always be produced by averaging, and
the averaging requires a notion of integration over the group that is invariant under the
group's own action. We construct that integral from a differential form, which is lighter
machinery than a measure and exactly suited to the top-degree averaging we need.
Theorem (Complete Reducibility for Compact Groups)
If \(G\) is a compact matrix Lie group, then every finite-dimensional representation of
\(G\) is completely reducible.
Construction of the invariant integral:
We require a notion of integration over \(G\) that is invariant under the right action
of the group. We obtain it from a right-invariant differential form. If
\(G \subseteq M_n(\mathbb{C})\) is a matrix Lie group, the tangent space at the
identity is its
Lie algebra
\(\mathfrak{g}\), and the tangent space \(T_A G\) at any point \(A \in G\)
is the space of matrices \(\{ X A : X \in \mathfrak{g} \}\). A smooth curve
\(\gamma\) in \(G\) through \(A\) is \(\gamma = \delta A\) for the curve
\(\delta = \gamma A^{-1}\) through \(I\), so its velocity is
\(\delta'(0) A\) with \(\delta'(0) \in \mathfrak{g}\), and conversely
\(t \mapsto \exp(tX) A\) has velocity \(XA\). Let \(k\) be the dimension of
\(\mathfrak{g}\) as a real vector space, and choose a nonzero \(k\)-linear
alternating form \(\alpha_I : \mathfrak{g}^k \to \mathbb{R}\). Such a form
exists. Fix a basis of \(\mathfrak{g}\) and let
\(\alpha_I(Y_1, \dots, Y_k)\) be the determinant of the matrix whose columns
are the coordinates of \(Y_1, \dots, Y_k\). We transport \(\alpha_I\) to
every point of \(G\) by the right action, defining a \(k\)-linear
alternating form \(\alpha_A\) on \(T_A G\) by
\[
\alpha_A(Y_1, \dots, Y_k) = \alpha_I\bigl(Y_1 A^{-1}, \dots, Y_k A^{-1}\bigr),
\quad Y_1, \dots, Y_k \in T_A G.
\]
The assignment \(A \mapsto \alpha_A\) is a \(k\)-form \(\alpha\) on \(G\),
smooth because \(A^{-1}\) depends smoothly on \(A\), and right-invariant by
construction.
Such a top-degree form is exactly what is needed to integrate. For a smooth
function \(f : G \to \mathbb{R}\), the product \(f\alpha\) is again a
\(k\)-form. On the compact manifold \(G\) it has a well-defined integral,
which we write as
\[
\int_G f(A)\, \alpha(A).
\]
That this integral does not depend on the choice of local coordinates is the algebraic
content of how a top-degree form pulls back. Under an orientation-preserving change of
coordinates the form acquires precisely the
Jacobian determinant,
which is then positive and so equals the factor that the classical change-of-variables
theorem inserts, and the two cancel. The full
construction of the integral of a differential form belongs to integration theory on
manifolds, together with orientation and the partition-of-unity assembly
over charts, and we take it as given here. We use only three of its
properties. The integral is linear in the form, it is positive when \(f\) is
a positive continuous function, and it is unchanged under pulling back by an
orientation-preserving diffeomorphism of \(G\). The group enters only through the
third, in the form of the right-invariance recorded next.
A word on orientation belongs here. Integration of a top-degree form on
\(G\) requires \(G\) to be oriented, and \(\alpha\) supplies the orientation
itself. Each \(\alpha_A\) is the transport of the nonzero form \(\alpha_I\)
by the linear isomorphism \(Y \mapsto YA^{-1}\) of \(T_A G\) onto
\(\mathfrak{g}\), so \(\alpha\) vanishes nowhere, and a nowhere-vanishing
top-degree form determines an orientation of \(G\), the one in which
\(\alpha\) is positive. With respect to this orientation every right
translation \(R_B : A \mapsto AB\) is orientation-preserving, since
\(R_B^*\alpha = \alpha\) by construction. No connectedness assumption is
needed, and disconnected groups such as \(O(n)\) are covered without change.
Because \(\alpha\) was built from the right action, the resulting integral
is invariant under that action. For \(B \in G\) the right translation
\(R_B\) satisfies \(R_B^*\alpha = \alpha\), since
\((R_B^*\alpha)_A(Y_1, \dots, Y_k) = \alpha_{AB}(Y_1 B, \dots, Y_k B) = \alpha_I(Y_1 A^{-1}, \dots, Y_k A^{-1})\).
Hence \(R_B^*(f\alpha) = (f \circ R_B)\,\alpha\), and invariance of the
integral under \(R_B\) gives, for every \(B \in G\),
\[
\int_G f(AB)\, \alpha(A) = \int_G f(A)\, \alpha(A).
\]
Compactness of \(G\) is what guarantees that the integral is finite for every smooth
function, the averaging integrand below among them.
Proof of the theorem:
Let \(\Pi\) be a finite-dimensional representation of \(G\) on \(V\). Choose any inner
product \(\langle \cdot, \cdot \rangle\) on \(V\) and average it over the
group, defining \(\langle \cdot, \cdot \rangle_G\) by
\[
\langle v, w \rangle_G = \int_G \langle \Pi(A) v, \Pi(A) w \rangle\, \alpha(A).
\]
The integrand is complex-valued, and we integrate its real and imaginary
parts. The result is again an inner product. Linearity and conjugate symmetry
pass through the integral, and positive definiteness holds because the
integrand \(\langle \Pi(A) v, \Pi(A) v \rangle\) is a positive continuous function
of \(A\) when \(v \neq 0\), so its integral against \(\alpha\) is positive.
We claim \(\Pi(B)\) is unitary with respect to \(\langle \cdot, \cdot \rangle_G\) for
every \(B \in G\). Using that \(\Pi\) is a homomorphism and then the right-invariance of
the integral,
\[
\begin{align*}
\langle \Pi(B) v, \Pi(B) w \rangle_G
&= \int_G \langle \Pi(A)\Pi(B) v, \Pi(A)\Pi(B) w \rangle\, \alpha(A) \\\\
&= \int_G \langle \Pi(AB) v, \Pi(AB) w \rangle\, \alpha(A) \\\\
&= \int_G \langle \Pi(A) v, \Pi(A) w \rangle\, \alpha(A) \\\\
&= \langle v, w \rangle_G,
\end{align*}
\]
where the third equality is the right-invariance applied to the function
\(A \mapsto \langle \Pi(A) v, \Pi(A) w \rangle\). Thus every \(\Pi(B)\) preserves
\(\langle \cdot, \cdot \rangle_G\), so \(\Pi\) is a unitary representation with respect
to this averaged inner product. By the preceding proposition, \(\Pi\) is completely
reducible.
The argument isolates exactly where compactness is used: only in guaranteeing that the
averaging integral converges. The rest is the unitarian trick, which replaces an arbitrary
inner product by a group-averaged one, under which the representation becomes unitary, and
then lets the orthogonal-complement mechanism of the proposition finish the decomposition.
This is why the groups \(SO(n)\) and \(SU(n)\), being compact, have every
finite-dimensional representation splitting into irreducible pieces. That structural fact
is what the classification of their representations rests on.
Schur's Lemma
Complete reducibility tells us that a representation breaks into irreducible pieces.
Schur's lemma governs the maps between irreducible pieces, and it is startlingly
rigid. Between two irreducibles there is essentially no room for an
intertwining map
to be anything other than zero or an isomorphism, and a self-map of a complex irreducible
can only be a scalar. This is the lemma that converts symmetry into constraint, and the
later development of the theory leans on it throughout, in the treatment of characters,
the orthogonality relations, and the decomposition of tensor products.
Theorem (Schur's Lemma)
-
Let \(V\) and \(W\) be irreducible real or complex representations of a group or Lie
algebra, and let \(\phi : V \to W\) be an intertwining map. Then either
\(\phi = 0\) or \(\phi\) is an isomorphism.
-
Let \(V\) be an irreducible complex representation of a group or Lie
algebra, and let \(\phi : V \to V\) be an intertwining map of \(V\) with itself.
Then \(\phi = \lambda I\) for some \(\lambda \in \mathbb{C}\).
-
Let \(V\) and \(W\) be irreducible complex representations, and let
\(\phi_1, \phi_2 : V \to W\) be nonzero intertwining maps. Then
\(\phi_1 = \lambda\, \phi_2\) for some \(\lambda \in \mathbb{C}\).
The last two points hold only over \(\mathbb{C}\) (or another algebraically closed
field), not over \(\mathbb{R}\).
Proof of Point 1:
We argue the group case. The Lie algebra case requires only the obvious notational
changes. Write \(\Pi\) for the action on \(V\) and \(\Sigma\) for the action on \(W\),
so that \(\phi(\Pi(A) v) = \Sigma(A) \phi(v)\) for all \(A\). Then \(\ker\phi\) is an
invariant subspace of \(V\). If \(v \in \ker\phi\), then
\[
\phi(\Pi(A) v) = \Sigma(A) \phi(v) = \Sigma(A) \cdot 0 = 0,
\]
so \(\Pi(A) v \in \ker\phi\). Since \(V\) is irreducible, \(\ker\phi = \{0\}\) or
\(\ker\phi = V\), so \(\phi\) is either one-to-one or zero.
Suppose \(\phi\) is one-to-one. Then \(\operatorname{im}\phi\) is a nonzero subspace
of \(W\), and it is invariant. If \(w = \phi(v)\) lies in the image, then
\[
\Sigma(A) w = \Sigma(A) \phi(v) = \phi(\Pi(A) v) \in \operatorname{im}\phi.
\]
Since \(W\) is irreducible and \(\operatorname{im}\phi\) is nonzero and invariant, we
must have \(\operatorname{im}\phi = W\). Thus \(\phi\) is either zero or one-to-one and
onto, that is, an isomorphism.
Proof of Point 2:
Suppose \(V\) is an irreducible complex representation and \(\phi : V \to V\)
intertwines, so \(\phi\,\Pi(A) = \Pi(A)\,\phi\) for all \(A\). Since we are working
over the algebraically closed field \(\mathbb{C}\), the operator \(\phi\) has at least
one eigenvalue \(\lambda \in \mathbb{C}\). Let \(U\) be the corresponding eigenspace.
Then each \(\Pi(A)\) maps \(U\) into itself. If \(\phi u = \lambda u\), then
\[
\phi\bigl(\Pi(A) u\bigr) = \Pi(A)\,\phi(u) = \Pi(A)(\lambda u) = \lambda\,\Pi(A) u,
\]
so \(\Pi(A) u\) is again a \(\lambda\)-eigenvector, that is, \(\Pi(A) u \in U\). Thus
\(U\) is an invariant subspace. Since \(\lambda\) is an eigenvalue, \(U \neq \{0\}\),
and irreducibility forces \(U = V\). But \(U = V\) means \(\phi\) acts as \(\lambda\)
on all of \(V\), that is, \(\phi = \lambda I\).
The eigenvalue step is exactly where complexity is essential. The existence of an eigenvalue used the
algebraic closure of \(\mathbb{C}\). Over \(\mathbb{R}\) the conclusion fails. The
rotation representation of \(SO(2)\) on \(\mathbb{R}^2\) is irreducible, since no real
line is fixed by all rotations, yet the rotation by a right angle commutes with every
element of the representation while being no real scalar multiple of the identity.
Proof of Point 3:
Let \(\phi_1, \phi_2 : V \to W\) be nonzero intertwining maps between irreducible
complex representations. By Point 1, \(\phi_2\) is an isomorphism, so \(\phi_2^{-1}\)
exists and \(\phi_1 \circ \phi_2^{-1} : W \to W\) is an intertwining map of \(W\) with
itself. By Point 2 it equals \(\lambda I\) for some \(\lambda \in \mathbb{C}\), whence
\(\phi_1 = \lambda\, \phi_2\).
Two consequences record the rigidity in the forms used most often. The first concerns
elements acting centrally.
Corollary (Central Elements Act by Scalars)
Let \(\Pi\) be an irreducible complex representation of a matrix Lie group \(G\). If
\(A\) lies in the center of \(G\), then \(\Pi(A) = \lambda I\) for some
\(\lambda \in \mathbb{C}\). Likewise, if \(\pi\) is an irreducible complex representation
of a Lie algebra \(\mathfrak{g}\) and \(X\) lies in the center of \(\mathfrak{g}\), then
\(\pi(X) = \lambda I\).
Proof:
If \(A\) lies in the
center
of \(G\), then \(\Pi(A)\) commutes with \(\Pi(B)\) for every \(B \in G\),
since \(\Pi(A)\Pi(B) = \Pi(AB) = \Pi(BA) = \Pi(B)\Pi(A)\). Thus \(\Pi(A)\) is an
intertwining map of the irreducible complex representation with itself, and Point 2 of
Schur's lemma gives \(\Pi(A) = \lambda I\). The Lie algebra case is identical, with
the bracket relation \(\pi(X)\pi(Y) - \pi(Y)\pi(X) = \pi([X, Y]) = 0\) for central
\(X\) showing \(\pi(X)\) commutes with all \(\pi(Y)\).
The second consequence settles the abelian case completely.
Corollary (Irreducible Complex Representations of an Abelian Group)
An irreducible complex representation of a commutative group or Lie algebra is
one-dimensional.
Proof:
We argue the group case. If \(G\) is commutative, then the center of \(G\) is all of
\(G\), so by the preceding corollary \(\Pi(A) = \lambda I\) for each \(A \in G\), with
the scalar depending on \(A\). But if every \(\Pi(A)\) is a multiple of the identity,
then every subspace of \(V\) is invariant. The only way \(V\) can avoid
having a nontrivial invariant subspace, and so the only way it can be irreducible, is
for \(V\) to be one-dimensional. The Lie algebra case is identical, the center of a
commutative Lie algebra being the whole algebra.
Why Equivariant Layers Have So Few Weights
A layer that respects a group's symmetry is an
equivariant map
between the representation carried by its input and the one carried by its
output, and when the layer is linear this is exactly an intertwining map.
Decompose input and output into irreducible pieces, as complete reducibility permits
for a compact symmetry group. Schur's lemma then dictates the block structure. Between
two inequivalent irreducible pieces the only intertwining map is zero, so
those blocks are forced empty, and between equivalent complex irreducibles the map is
a single scalar. The free parameters of an equivariant layer therefore collapse to one
scalar for each pair of equivalent irreducible pieces, one in the input and one in the
output, rather than a full dense matrix between channels. The drastic reduction in
weights is not a heuristic of architecture design. It is Schur's lemma counting the
admissible maps. When the task has the symmetry, this smaller space of admissible maps is
one source of the gains in sample efficiency reported for such layers.
One qualification is in order. The "single scalar" count is the complex statement, the
second part of Schur's lemma, which holds only over \(\mathbb{C}\). A network whose
weights are real does not automatically inherit it. The space of equivariant maps
between two real irreducibles can be larger, and pinning down its exact dimension is a
separate question about the endomorphism algebra of a real representation, beyond the
complex lemma proved here. The qualitative lesson survives regardless. Inequivalent
types do not mix, and each matched pair of pieces couples through a small fixed
number of parameters.