Properties of Irreducible Root Systems III
Today we conclude with our series of lemmas on irreducible root systems.
If is irreducible, then roots in
have at most two different lengths. Here I mean actual geometric lengths, as measured by the inner product, not the “length” of a Weyl group element. Further, any two roots of the same length can be sent to each other by the action of the Weyl group.
Let and
be two roots. We just saw that the
-orbit of
spans
, and so not all the
can be perpendicular to
. From what we discovered about pairs of roots, we know that if
, then the possible ratios of squared lengths
are limited. Indeed, this ratio must be one of
,
,
,
, or
.
If there are three distinct root-lengths, let ,
, and
be samples of each length in increasing order. We must then have
and
, and so
, which clearly violates our conditions. Thus there can be at most two root lengths, as asserted. We call those of the smaller length “short roots”, and the others “long roots”. If there is only one length, we call all the roots long, by convention.
Now let and
have the same length. By using the Weyl group as above, we may assume that these roots are non-orthogonal. We may also assume that they’re distinct, or else we’re already done! By the same data as before, we conclude that
. We can replace one root by its negative, if need be, and assume that
. Then we may calculate:
.
We may note, in passing, that the unique maximal root is long. Indeed, it suffices to show that
for all
. We may, without loss of generality, assume
is in the fundamental doman
. Since
, we must have
for any other
. In particular, we have
and
. Putting these together, we conclude
and so must be a long root.
Properties of Irreducible Root Systems II
We continue with our series of lemmas on irreducible root systems.
If is irreducible, then the Weyl group
acts irreducibly on
. That is, we cannot decompose the representation of
on
as the direct sum of two other representations. Even more explicitly, we cannot write
for two nontrivial subspaces
and
with each one of these subspaces invariant under
. If
is an invariant subspace, then the orthogonal complement
will also be invariant. This is a basic fact about the representation theory of finite groups, which I will simply quote for now, since I haven’t covered that in detail. Thus my assertion is that if
is an invariant subspace under
, then it is either trivial or the whole of
.
For any root , either
or
. Indeed, since
, we must have
. As a reflection,
breaks
into a one-dimensional eigenspace with eigenvalue
and another complementary eigenspace with eigenvalue
. If
contains the
-eigenspace, then
. If not, then
is perpendicular to
or
couldn’t be invariant under
, and in this case
.
So then if isn’t in
then it must be in the orthogonal complement
. Thus every root is either in
or in
, and this gives us an orthogonal decomposition of the root system. But since
is irreducible, one or the other of these collections must be empty, and thus
must be either trivial or the whole of
.
Even better, the span of the -orbit of any root
spans
. Indeed, the subspace spanned by roots of the form
is invariant under the action of
, and so since
is irreducible it must be either trivial (clearly impossible) or the whole of
.
Properties of Irreducible Root Systems I
Now we can turn towards the project of classifying irreducible root systems up to isomorphism. And we start with some properties of irreducible root systems.
First off, remember a root system is reducible if we can write it as the disjoint union of two collections of roots
so that each root in
is perpendicular to each one in
. I assert that, for any base
,
is reducible if and only if
can itself be broken into two collections
in just the same way. One direction is easy: if we can decompose
, then the roots in
are either in
or
and we can define
and
.
On the other hand, if we write with each simple root in
perpendicular to each one in
, then we will find a similar decomposition of
. But we know from our study of the Weyl group that every root in
can be sent by the Weyl group to some simple root in
. So we define
to be the collection of roots whose orbit includes a point of
, and
to be the collection of roots whose orbit includes a point of
. So a vector in
is of the form
for some Weyl group element
and some simple root
. The Weyl group element
can be written as a sequence of simple reflections. A simple reflection corresponding to a root in
adds some multiple of that root to the vector, and thus leaves the subspace spanned by
invariant; while a simple reflection corresponding to a root in
leaves the subspace spanned by
fixed point-by-point. Thus any root in
must lie in the subspace spanned by
, and similarly any root in
must lie in the subspace spanned by
. This shows that
is exactly the sort of decomposition we’re looking for.
If is irreducible, with base
, then there is a unique maximal root
relative to the partial ordering
on roots. In particular, the height of
is greater than the height of any other root in
,
for all simple roots
, and in the unique expression
all of the coefficients are strictly positive.
First of all, if is maximal then it’s clearly positive, and so each
is either positive or zero. Let
be the collection of simple roots
so that
, and
be the collection of simple roots
so that
. Then
is a partition of the base. From here we’ll assume that
is nonempty and derive a contradiction.
If , then
for any other simple root
. From this, we can calculate
Since is irreducible, there must be at least one
and
so that
, and so we must have
for this
. This proves that
must also be a root, which contradicts the maximality of
. And so we conclude that
is empty, and all the coefficients
. In passing, we can use the same fact to show that
for all
, or else
wouldn’t be maximal.
This same argument applies to any other maximal root , giving
for all
with the inequality strict for at least one
. We calculate
which tells us that is a root unless
. But if
is a root, then either
or
, contradicting the assumption that both are maximal. Thus
must be unique.
The Fundamental Weyl Chamber
When we first discussed Weyl chambers, we defined the fundamental Weyl chamber associated to a base
as the collection of all the vectors
satisfying
for all simple roots
. Today, I want to discuss the closure
of this set — allowing
— and show that it’s a fundamental domain for the action of the Weyl group
.
To be more explicit, saying that the fundamental Weyl chamber is a fundamental domain means that each vector
is in the orbit of exactly one vector in
. That is, there is a unique
so that
for some
.
First, to existence. Given a vector , we consider its orbit — the collection of all the
as
runs over all elements of
. We have to find a vector in this orbit which lies in the fundamental Weyl chamber
. To do this, we’ll temporarily extend our partial order to all of
by saying that
if
is a nonnegative
-linear combination of simple roots. Relative to this order, pick a maximal vector
; that is, one so that for any
we never have
. There may well be more than one such maximal vector, given what we’ve said so far, but there will always be at least one.
I say that this is actually in the fundamental Weyl chamber. Indeed, if it weren’t then there would be some simple root
so that
. But then we could look at the vector
. We calculate
which is a positive -linear combination of simple roots. Thus
, which is impossible by assumption. In fact, this gives us a method for constructing a maximal vector in the orbit. Just start with
and form its inner product with all the simple roots. If we find one for which the inner product is negative, reflect the vector through the plane perpendicular to that simple root. Eventually, you’ll end up with a vector in the fundamental Weyl chamber!
Now for uniqueness: if there are two vectors and
in the orbit
that lie within the fundamental Weyl chamber, then we must have
for some
. What I’ll show is that if we have
for two vectors in the fundamental Weyl chamber, then
must be the product of simple reflections which leave
fixed, and thus
.
We’ll prove this by induction on the length of the Weyl group element . If
, then
is the identity and the statement is obvious. If
then (by the result we proved last time)
must send some positive root to a negative root. In particular,
cannot send all simple roots to positive roots. So let’s say that
is a simple root for which
. Then we observe
since and
are both in the fundamental Weyl domain. Thus it is forced that
, that
, and then that
. But
sends fewer positive roots to negative ones than
does, so
and we can invoke the inductive hypothesis to finish the job.
The upshot of all this is that we know what the space of orbits of looks like! It has one point for each vector
. If
is in the interior of this fundamental domain, then the orbit looks just like a copy of
. On the other hand, if
lies on one of the boundary hyperplanes the orbit looks like “half” of the Weyl group. That is, if
then
, so both of the corresponding group elements “collapse” into one point in this orbit. As
lies on more and more of the boundary hyperplanes, more and more of the orbit “folds up”, until finally at
we have an orbit consisting of exactly one point.
Lengths of Weyl Group Elements
With our theorem from last time about the Weyl group action, and the lemmas from earlier about simple roots and reflections, we can define a few notions that make discussing Weyl groups easier. Any Weyl group element can be written as a composition of simple reflections
where all are simple roots for some choice of a base
. In general we can do this in many ways, and some will have larger values for
than others. But there must be some minimal number of simple reflections it takes to make
— some smallest possible value of
. This number we call the “length”
of the root
relative to
, and an expression that uses this minimal number of reflections is called “reduced”. By definition we set
for the identity element, since we can write it with no reflections at all.
Now, we also have another characterization of the length of a root. Let be the number of positive roots
for which
— the number of roots that
moves from
to
. I say that
for all
, and I’ll proceed by induction on
. Indeed, the base case is obvious, since the only element of
with length zero is the identity, and it sends no positive roots to negative roots.
If this assertion is true for all with
, then we write
in a reduced form as
and set
. By one of our lemmas, we see that
. By another of our lemmas we know that
merely permutes the positive roots other than
, and so
. On the other hand,
, and our inductive hypothesis allows us to conclude that
, and thus that
.
The Action of the Weyl Group on Weyl Chambers
With our latest lemmas in hand, we’re ready to describe the action of the Weyl group of a root system
on the set of its Weyl chambers. Specifically, the action is “simply transitive”, and the group itself is generated by the reflections corresponding to the simple roots in any given base
.
To be a bit more explicit, let be any fixed base of
. Then a number of things happen:
- If
is any regular vector, then there is some
so that
for all
. That is,
sends the Weyl chamber
to the fundamental Weyl chamber
.
- If
is another base, then there is some
so that
. That is,
sends
to
. We say that the action of the Weyl group is “transitive” on bases and their corresponding Weyl chambers.
- If
is any root, then there is some
so that
.
- The Weyl group
is generated by the
for
.
- If
for some
, then
is the identity transformation. That is, the only transformation in the Weyl group that sends a base back to itself is the trivial one. We say that the action of the Weyl group is “simple” on bases and their corresponding Weyl chambers.
What we’ll do is let be the group generated by the
for
, as in the fourth assertion. We’ll show that this group satisfies the first three assertions, and then show that
.
Let be a regular vector and write
for the half-sum of the positive roots
Choose some so that
is as large as possible. If
is simple, then
is in
too, so we find
which forces for all
. None of these inner products can actually equal zero, because if one was then we would have
and
wouldn’t be regular. Therefore
lies in the fundamental Weyl chamber, as desired.
For the second assertion, we know that there must be some regular in the positive half-space for each root
, and the first assertion then applies to send
to
.
For the third assertion, we can invoke the second assertion as long as we know that every root lies in some base
. We can find some
that’s in no other hyperplane perpendicular to another root (other than
). Then pick some close enough
so that
, but also
for all
. The root
must then belong to the base
.
Okay, now let’s show that . We just need to show that each reflection
for
(all of which together generate
) is an element of
. But using our third assertion we can find some
so that
. Then
and so .
Finally, suppose that is some non-identity element of
so that
. Thanks to our fourth assertion we can write
as a string
of basic reflections, and we can assume that
is as small as possible. Then we must have
by our final lemma from last time, but we also must have
, which gives us a contradiction.
Some Lemmas on Simple Roots
If is some fixed base of a root system
, we call the roots
“simple”. Simple roots have a number of nice properties, some of which we’ll run through now.
First off, if is positive but not simple, then
is a (positive) root for some simple
. If
for all
, then the same argument we used when we showed
is linearly independent would show that
is linearly independent. But this is impossible because
is already a basis.
So for some
, and thus
. It must be positive, since the height of
must be at least
. That is, at least one coefficient of
with respect to
must be positive, and so they all are.
In fact, every can be written (not uniquely) as the sum
for a bunch of
, and in such a way that each partial sum
is itself a positive root. This is a great proof by induction on
, for if
then
is in fact simple itself. If
is not simple, then our argument above gives a
so that
for some
with
. And so on, by induction.
If is simple, then the reflection
permutes the positive roots other than
. That is, if
, then
as well. Indeed, we write
with all nonnegative. Clearly
for some
(otherwise
). But the coefficient of
in
must still be
. Since this is positive, all the coefficients in the decomposition of
are positive, and so
. Further, it can’t be
itself, because
is the image
.
In fact, this leads to a particularly useful little trick. Let be the half-sum of all the positive roots. That is,
then for all simple roots
. The reflection shuffles around all the positive roots other than
itself, which it sends to
. This is a difference in the sum of
, which the
turns into
.
Now take a bunch of (not necessarily distinct) and write
. If
, then there is some index
that we can skip. That is,
Write for every
from
to
, and
. By our assumption,
and
. Thus there is some smallest index
so that
. Then
, and we must have
. But we know that
. In particular,
And then we can write
From this we can conclude that if is an expression in terms of the basic reflections with
as small as possible, then
. Indeed, if
, then
and we’ve just seen that in this case we can leave off as well as some
in the expression for
.
Weyl Chambers
A very useful concept in our study of root systems will be that of a Weyl chamber. As we showed at the beginning of last time, the hyperplanes for
cannot fill up all of
. What’s left over they chop into a bunch of connected components, which we call Weyl chambers. Thus every regular vector
belongs to exactly one of these Weyl chambers, denoted
.
Saying that two vectors share a Weyl chamber — that — tells us that
and
lie on the same side of each and every hyperplane
for
. That is,
and
are either both positive or both negative. So this means that
, and thus the induced bases are equal:
. We see, then, that we have a natural bijection between the Weyl chambers of a root system
and the bases for
.
We write for
and call this the fundamental Weyl chamber relative to
. Geometrically,
is the open convex set consisting of the intersection of all the half-spaces
for
.
The Weyl group of
shuffles Weyl chambers around. Specifically, if
and
is regular, then
.
On the other hand, the Weyl group also sends bases of to each other. If
is a base, then
is another base. Indeed, since
is invertible
will still be a basis for
. Further, for any
we can write
, and then use the base property of
to write
as a nonnegative or nonpositive integral combination of
. Hitting everything with
makes
a nonnegative or nonpositive integral combination of
, and so this is indeed a base.
And, just as we’d hope, these two actions of the Weyl group are equivalent by the bijection above. We have because
preserves the inner product, and so
. Thus we write
for some regular
and find that
The Existence of Bases for Root Systems
We’ve defined what a base for a root system is, but we haven’t provided any evidence yet that they even exist. Today we’ll not only see that every root system has a base, but we’ll show how all possible bases arise. This will be sort of a long and dense one.
First of all, we observe that any hyperplane has measure zero, and so any finite collection of them will too. Thus the collection of all the hyperplanes perpendicular to vectors
cannot fill up all of
. We call vectors in one of these hyperplanes “singular”, and vectors in none of them “regular”.
When is regular, it divides
into two collections. A vector
is in
if
and
, and we have a similar definition for
. It should be clear that
, and that every vector
is in one or the other; otherwise
would be in
. For a regular
, we say that
is “decomposable” if
for
. Otherwise, we say that
is “indecomposable”.
Now we can state our existence theorem. Given a regular , let
be the set of indecomposable roots in
. Then
is a base of
, and every base of
arises in this manner. We will prove this in a number of steps.
First off, every vector in is a nonnegative integral linear combination of the vectors in
. Otherwise there is some
that can’t be written like that, and we can choose
so that
is as small as possible.
itself can’t be indecomposable, so we must have
for some two vectors
, and so
. Each of these two inner products are strictly positive, so to avoid contradicting the minimality of
we must be able to write each of
and
as a nonnegative linear combination of vectors in
. But then we can write
in this form after all! The assertion follows.
Second, if and
are distinct vectors in
then
. Indeed, by our lemma if
then
. And so either
or
lies in
. In the first case, we can write
, so
is decomposable. In the second case, we can similarly show that
is decomposable. And thus we have a contradiction and the assertion follows.
Next, is linearly independent. If we have a linear combination
then we can separate out the vectors for which the coefficient
and those
for which
, and write
with all coefficients positive. Call this common sum and calculate
Since each , this whole sum must be nonpositive, which can only happen if
. But then
which forces all the . Similarly, all the
, and thus the original linear combination must have been trivial. Thus
is linearly independent.
Now we can show that is a base. Every vector in
is indeed a nonnegative integral linear combination of the vectors in
. Since
, every vector in this set is a nonpositive integral linear combination of the vectors in
. And every vector in
is in one or the other of these sets. Also, since
spans
we find that
spans
as well. But since it’s linearly independent, it must be a basis. And so it satisfies both of the criteria to be a base.
Finally, every base is of the form
for some regular
. Indeed, we just have to find some
for which
for each
. Then since any
is an integral linear combination of
we can verify that
for all
, proving that
is regular. and
. Then the vectors
are clearly indecomposable, showing that
. But these sets contain the same number of elements since they’re both bases of
, and so
.
The only loose end is showing that such a exists. I’ll actually go one better and show that for any basis
the intersection of the “half-spaces”
is nonempty. To see this, define
This is what’s left of the basis vector after subtracting off its projection onto each of the other basis vectors
, leaving its projection onto the line perpendicular to all of them. Then consider the vector
where each
. It’s a straightforward computation to show that
, and so
is just such a vector as we’re claiming exists.
Bases for Root Systems
We don’t always want to deal with a whole root system . Indeed, that’s sort of like using a whole group when all the information is contained in some much smaller generating set. For a vector space we call such a small generating set a basis. For a root system, we call it a base. Specifically, a subset
is called a base if first of all
is a basis for
, and if each vector
can be written as a linear combination
where the coefficients are either all nonnegative integers or all nonpositive integers.
Some observations are immediate. Because is a basis, it contains exactly
vectors of
. It also tells us that the decomposition of each
is unique. In fact, as for any basis, every vector in
can be written uniquely as a linear combination of the vectors in
. What we’re emphasizing here is that for vectors in
, the coefficients are all integers, and they’re either all nonnegative or all nonpositive.
Another thing a choice of base gives us is a partial order on the root system
. We say that
is a “positive root” with respect to
(and write
) if all of its coefficients are nonnegative integers. Similarly, we say that
is a “negative root” with respect to
(and write
) if all of its coefficients are nonpositive integers. We extend this to a partial order by defining
if
.
Every root is either positive or negative. We write for the collection of positive roots with respect to a base
and
for the collection of negative roots. It should be clear that
, and also that
— the negative roots are exactly the negatives of the positive roots.
We can also define a kind of size of a vector . Given the above (unique) decomposition, we define the “height” of
relative to
as
This will be useful when it comes to proving statements about all vectors in by induction on their heights.
If are two vectors in a base
, then we know that
and
. Indeed, our lemma tells us that if
then
would be in
. But this is impossible, because every vector in
can only be written as a linear combination of vectors in
in one way, and that way cannot have some positive signs and some negative signs like
does.
What this tells us (among other things) is that must be one end of the
root string through
. The other end must be
, and the root string must be unbroken between these two ends. Every vector
with
must be in
.
