Good luck to everyone taking the December TST tomorrow!
The goal of this post is to give the reader a taste of representation theory, a la Math 55a. In theory, this post should be accessible to anyone with a knowledge of group actions and abstract vector spaces.
Fix a ground field (for all vector spaces). In this post I will introduce the concept of representations and irreducible representations. Using these basic definitions I will establish Maschke’s Theorem, which tells us that irreducibles and indecomposables are the same thing.
1. Definition and Examples
Let be a group.
Definition A representation of
consists of a pair
where
is a vector space over
and
is a (left) group action of
on
which is linear in
. If
is finite-dimensional then the dimension of
is just the dimension of
.
Explicitly the conditions on are that
Note that another equivalent phrasing is that is a homomorphism from
to the general linear group
; however, we will not use this phrasing.
By abuse of notation, we occasionally refer to by just its underlying vector space
in the case that
is clear from context. We may also abbreviate
as just
.
A simple example of a nontrivial representation is the following.
Example If
and
, then an example of an action is
is simply
meaning we permute the basis elements of
. We denote this representation by
.
Let us give another useful example.
Definition Let
be a set acted on by
. We define the vector space
with the standard addition of functions.
Example We define a representation on
by the following action: every
gets sent to a
by
By abuse of notation we will let
refer both to the vector space and the corresponding representation.
Now that we have two nontrivial examples, we also give a trivial example.
Definition Let
be a group. We define the trivial representation
, or just
, as the representation
, where
for every
. In other words,
acts trivially on
.
2. Homomorphisms of Representations
First, as a good budding algebraist (not really) I should define how these representations talk to each other.
Definition Let
and
be representations of the same group
. A homomorphism of
-representations is a linear map
which respects the
-action: for any
and
,
The set of all these homomorphisms is written
, which is itself a vector space over
.
(Digression: For those of you that know category theory, you might realize by now that representations correspond to functors from a category (corresponding to the group
) into
and that homomorphisms of representations are just natural transformations.)
To see an example of this definition in action, we give the following as an exercise.
Proposition 1 Let
. We define the
-invariant space
to be
Then there is a natural bijection of vector spaces
.
Proof: Let . The set
consists of maps
with
for every . Since
is linear, it is uniquely defined by
(since
in general). So
, i.e.
, is necessary and sufficient. Thus the bijection is just
.
This proposition will come up again at the end of Part 4.
3. Subrepresentations, Irreducibles, and Maschke’s Theorem
Now suppose I’ve got a representation .
Definition Suppose we have a subspace
which is
-invariant, meaning that
for every
and
. Then we can construct a representation of
on
by restricting the action to
:
In that case the resulting
is called a subrepresentation of
.
Every has an obvious subrepresentation, namely
itself, as well as a stupid subrepresenation on the zero-dimensional vector space
. But it’s the case that some representations have interesting subrepresentations.
Example Consider the representation
of
on
defined in the first section. For all
,
is not irreducible.
Proof: Consider the subspace given by
then is invariant under
, so we have a subrepresentation of
, which we’ll denote
.
This motivates the ideas of irreducibles.
Definition A representation
is irreducible if it has no nontrivial subrepresentations.
Of course the first thing we ask is whether any representation decomposes as a product of irreducible representations. But what does it mean to compose two representations, anyways? It’s just the “natural” definition with the direct sum.
Definition Let
and
be representations and suppose we have
. Then we define the representation
by
where
Just like every integer decomposes into prime factors, we hope that every representation decomposes into irreducibles. But this is too much to hope for.
Example Let
, let
be the finite field of order
(aka
), and consider
, which is not irreducible. However, we claim that we cannot write
for any nontrivial
and
.
Proof: This is a good concrete exercise.
Assume not, and let and
be the underlying vector spaces of
and
. By nontriviality,
, and in particular we have that as sets,
. Take the only nonzero elements
and
. Since
is invariant under
,
, so
. Similarly,
, which is impossible.
So we hoped for perhaps too much. However, with seemingly trivial modifications we can make the above example work.
Example In the same example as above, suppose we replace
with any field which does not have characteristic
. Then
does decompose.
Proof: Consider the following two subspaces of :
It’s easy to see that both and
are both invariant under
. Moreover, if
then we in fact have
because for any
. So if we let
be the subrepresentation corresponding to
, and define
on
similarly, then we have
.
Thus the only thing in the way of the counterexample was the fact that . And it turns out in general this is the only obstacle, a result called Maschke’s Theorem.
Theorem 2 (Maschke’s Theorem) Suppose that
is a finite group, and
does not divide
. Then every finite-dimensional representation decomposes as a direct sum of irreducibles.
Before proceeding to the proof, I’ll draw an analogy between the proof that every positive integer decomposes as the product of primes. We use by strong induction on
; if
is prime we are done, and if
is composite there is a nontrivial divisor
, so we apply the inductive hypothesis to
and
and combine these factorizations. We want to mimic the proof above in our proof of Maschke’s Theorem, but we have a new obstacle: we have to show that somehow, we can “divide”.
So why is it that we can divide in certain situations? The idea is that we want to be able to look at an “average” of the form
because this average has the nice property of being -invariant. We’ll use this to obtain our proof of Maschke’s Theorem.
Proof: We proceed by induction on the dimension of the representation . Let
be a representation and assume its not irreducible, so it has a nontrivial subspace
which is
-invariant. It suffices to prove that there exists a subspace
such that
is also
-invariant and
, because then we can apply the inductive hypothesis to the subrepresentations induced by
and
.
Let be any projection of
onto
. We consider the averaging map
by
We’ll use the following properties of the map.
Exercise Show that the map
has the following three properties.
- For any
,
.
- For any
,
.
.
As with any projection map , we must have
. But
. Moreover, because the map
is
-invariant, it follows that
is
-invariant. Hence taking
completes the proof.
This completes our proof of Maschke’s Theorem, telling us how all irreducibles decompose. Said another way, Maschke’s Theorem tells us that any finite-dimensional representation can be decomposed as
where is some nonnegative integer, and
is the set of all (isomorphism classes of) irreducibles representations.
You may wonder whether the decomposition is unique, and if so what we can say about the “exponents” . In the next post I’ll show how to compute the exponents
(which in particular gives uniqueness).
Thanks to Dennis Gaitsgory, who taught me this in his course Math 55a. Thanks also to the MOPpers at PUMaC 2014 who let me run this by them during a sleepover; several improvements were made to the original draft as a result. My notes for Math 55a can be found at my website. Thanks also to N for pointing out an error in my proof of Maschke’s Theorem.