Construction of E-Series Root Systems
Today we construct the last of our root systems, following our setup. These correspond to the Dynkin diagrams ,
, and
. But there are transformations of Dynkin diagrams that send
into
, and
on into
. Thus all we really have to construct is
, and then cut off the right simple roots in order to give
, and then
.
We start similarly to our construction of the root system; take the eight-dimensional space with the integer-coefficient lattice
, and then build up the set of half-integer coefficient vectors
Starting from lattice , we can write a generic lattice vector as
and we let be the collection of lattice vectors so that the sum of the coefficients
is even. This is well-defined even though the coefficients aren’t unique, because the only redundancy is that we can take
from
and add
to each of the other eight coefficients, which preserves the total parity of all the coefficients.
Now let consist of those vectors
with
. The explicit description is similar to that from the
root system. From
, we get the vectors
, but not the vectors
because these don’t make it into
. From
we get some vectors of the form
Starting with the choice of all minus signs, this vector is not in because
and all the other coefficients are
. To flip a sign, we add
, which flips the total parity of the coefficients. Thus the vectors of this form that make it into
are exactly those with an odd number of minus signs.
We need to verify that for all
and
in
(technically we should have done this yesterday for
, but here it is. If both
and
come from
, this is clear since all their coefficients are integers. If
and
, then the inner product is the sum of the
th and
th coefficients of
, but with possibly flipped signs. No matter how we choose
and
, the resulting inner product is either
,
, or
. Finally, if both
and
are chosen from
, then each one is
plus an odd number of the
, which we write as
and
, respectively. Thus the inner product is
The first term here is , and the last term is also an integer because the coefficients of
and
are all integers. The middle two terms are each a sum of an odd number of
, and so each of them is a half-integer. The whole inner product then is an integer, as we need.
What explicit base should we pick? We start out as we’ve did for
with
,
, and so on up to
. These provide six of our eight vertices, and the last two of them are perfect for cutting off later to make the
and
root systems. We also throw in
, like we did for the
series. This provides us with the triple vertex in the
Dynkin diagram.
We need one more vertex off to the left. It should be orthogonal to every one of the simple roots we’ve chosen so far except for , with which it should have the inner product
. It should also be a half-integer root, so that we can get access to the rest of them. For this purpose, we choose the root
. Establishing that the reflection with respect to this vector preserves the lattice
— and thus the root system
— proceeds as in the
case.
The Weyl group of is again the group of symmetries of a polytope. In this case, it turns out that the vectors in
are exactly the vertices of a regular eight-dimensional polytope inscribed in the sphere of radius
, and the Weyl group of
is exactly the group of symmetries of this polyhedron! Notice that this is actually something interesting; in the
case the roots formed the vertices of a hexagon, but the Weyl group wasn’t the whole group of symmetries of the hexagon. This is related to the fact that the
diagram possesses a symmetry that flips it end-over-end, and we will explore this behavior further.
The Weyl groups of and
are also the symmetries of seven- and six-dimensional polytopes, respectively, but these aren’t quite so nicely apparent from their root systems.
As the most intricate (in a sense) of these root systems, has inspired quite a lot of study and effort to visualize its structure. I’ll leave you with an animation I found on Garrett Lisi’s notewiki, Deferential Geometry (with the help of Sarah Kavassalis).
Construction of the F4 Root System
Today we construct the root system starting from our setup.
As we might see, this root system lives in four-dimensional space, and so we start with this space and its integer-component lattice . However, we now take another copy of
and push it off by the vector
. This set
consists of all vectors each of whose components is half an odd integer (a “half-integer” for short). Together with
, we get a new lattice
consisting of vectors whose components are either all integers or all half-integers. Within this lattice
, we let
consist of those vectors of squared-length
or
:
or
; we want to describe these vectors explicitly.
When we constructed the and
series, we saw that the vectors of squared-length
and
in
are those of the form
(squared-length
) and of the form
for
(squared-length
). But what about the vectors in
? We definitely have
— with squared-length
— but can we have any others? The next longest vector in
will have one component
and the rest
, but this has squared-length
and won’t fit into
! We thus have twenty-four long roots of squared-length
and twenty-four short roots of squared-length
.
Now, of course we need an explicit base , and we can guess from the diagram
that two must be long and two must be short. In fact, in a similar way to the
root system, we start by picking
and
as two long roots, along with
as one short root. Indeed, we can see a transformation of Dynkin diagrams sending
into
, and sending the specified base of
to these three vectors.
But we need another short root which will both give a component in the direction of and will give us access to
. Further, it should be orthogonal to both
and
, and should have a Cartan integer of
with
in either order. For this purpose, we pick
, which then gives us the last vertex of the
Dynkin diagram.
Does the reflection with respect to this last vector preserve the root system, though? What is its effect on vectors in ? We calculate
Now the sum is always an integer, whether the components of
are integers or half-integers. If the sum is even, then we are changing each component of
by an integer, which sends
and
back to themselves. If the sum is off, then we are changing each component of
by a half-integer, which swaps
and
. In either case, the lattice
is sent back to itself, and so this reflection fixes
.
Like we say for it’s difficult to understand the Weyl group of
in terms of its action on the components of
. However, also like
, we can understand it geometrically. But instead of a hexagon, now the long and short roots each make up a four-dimensional polytope called the “24-cell”. It’s a shape with 24 vertices, 96 edges, 96 equilateral triangular faces, and 24 three-dimensional “cells”, each of which is a regular octahedron; the Weyl group of
is its group of symmetries, just like the Weyl group of
was the group of symmetries of the hexagon.
Also like the case, the
root system is isomorphic to its own dual. The long roots stay the same length when dualized, while the short roots double in length and become the long roots of the dual root system. Again, a scaling and rotation sends the dual system back to the one we constructed.
Construction of the G2 Root System
We’ve actually already seen the root system, back when we saw a bunch of two-dimensional root system. But let’s examine how we can construct it in line with our setup.
The root system is, as we can see by looking at it, closely related to the
root system. And so we start again with the
-dimensional subspace of
consisting of vectors with coefficients summing to zero, and we use the same lattice
. But now we let
be the vectors
of squared-length
or
:
or
. Explicitly, we have the six vectors from
—
,
, and
— and six new vectors —
,
, and
.
We can pick a base . These vectors are clearly independent. We can easily write each of the above vectors with a positive sign as a positive sum of the two vectors in
. For example, in accordance with an earlier lemma, we can write
where after adding each term we have one of the positive roots. In fact, this path hits all but one of the six positive roots on its way to the unique maximal root.
It’s straightforward to calculate the Cartan integers for .
which shows that we do indeed get the Dynkin diagram .
And, of course, we must consider the reflections with respect to both vectors in . Unfortunately, computations like those we’ve used before get complicated. However, we can just go back to the picture that we drew before (and that I linked to at the top of this post). It’s a nice, clean, two-dimensional picture, and it’s clear that these reflections send
back to itself, which establishes that
is really a root system.
We can also figure out the Weyl group geometrically from this picture. Draw line segments connecting the tips of either the long or the short roots, and we find a regular hexagon. Then the reflections with respect to the roots generate the symmetry group of this shape. The twelve roots are the twelve axes of symmetry of the polygon, and we can get rotations by first reflecting across one root and then across another. For example, rotating by a sixth of a turn can be effected by reflecting with the basic short root, followed by reflecting with the basic long root.
Finally, we can see that this root system is isomorphic to its own dual. Indeed, if is a short root, then the dual root is
itself:
On the other hand, if is a long root, then we find
and so the squared-length of is
. These are now the short roots of the dual system. Scaling the dual system up by a factor of
and rotating
of a turn, we recover the original
root system.
Transformations of Dynkin Diagrams
Before we continue constructing root systems, we want to stop and observe a couple things about transformations of Dynkin diagrams.
First off, I want to be clear about what kinds of transformations I mean. Given Dynkin diagrams and
, I want to consider a mapping
that sends every vertex of
to a vertex of
. Further, if
and
are vertices of
joined by
edges, then
and
should be joined by
edges in
as well, and the orientation of double and triple edges should be the same.
But remember that and
, as vertices, really stand for vectors in some base of a root system, and the number of edges connecting them encodes their Cartan integers. If we slightly abuse notation and write
and
for these bases, then the mapping
defines images of the vectors in
, which is a basis of a vector space. Thus
extends uniquely to a linear transformation from the vector space spanned by
to that spanned by
. And our assumption about the number of edges joining two vertices means that
preserves the Cartan integers of the base
.
Now, just like we saw when we showed that the Cartan matrix determines the root system up to isomorphism, we can extend to a map from the root system generated by
to the root system generated by
. That is, a transformation of Dynkin diagrams gives rise to a morphism of root systems.
Unfortunately, the converse doesn’t necessarily hold. Look back at our two-dimensional examples; specifically, consider the and
root systems. Even though we haven’t really constructed the latter yet, we can still use what we see. There are linear maps taking the six roots in
to either the six long roots or the six short roots in
. These maps are all morphisms of root systems, but none of them can be given by transformations of Dynkin diagrams. Indeed, the image of any base for
would contain either two long roots in
or two short roots, but any base of
would need to contain both a long and a short root.
However, not all is lost. If we have an isomorphism of root systems, then it must send a base to a base, and thus it can be seen as a transformation of the Dynkin diagrams. Indeed, an isomorphism of root systems gives rise to an isomorphism of Dynkin diagrams.
The other observation we want to make is that duality of root systems is easily expressed in terms of Dynkin diagrams: just reverse all the oriented edges! Indeed, we’ve already seen this in the case of and
root systems. When we get to constructing
and
, we will see that they are self-dual, in keeping with the fact that reversing the directed edge in each case doesn’t really change the diagram.
Construction of B- and C-Series Root Systems
Starting from our setup, we construct root systems corresponding to the (for
) and
(for
) Dynkin diagrams. First will be the
series.
As we did for the series, we start out with an
dimensional space with the lattice
of integer-coefficient vectors. This time, though, we let
be the collection of vectors
of squared-length
or
: either
or
. Explicitly, this is the collection of vectors
for
(signs chosen independently) from the
root system, plus all the vectors
.
Similarly to the series, and exactly as in the
series, we define
for
. This time, though, to get vectors whose coefficients don’t sum to zero we can just define
, which is independent of the other vectors. Since it has
vectors, the independent set
is a basis for our vector space.
As in the and
cases, any vector
with
can be written
This time, any of the can be written
Thus any vector can be written as the sum of two of these vectors. And so
is a base for
.
We calculate the Cartan integers. For and
less than
, we again have the same calculation as in the
case, which gives a simple chain of length
vertices. But when we involve
things are a little different.
If , then both of these are zero. On the other hand, if
, then the first is
and the second is
. Thus we get a double edge from
to
, and
is the longer root. And so we obtain the
Dynkin diagram.
Considering the reflections with respect to the , we find that
swaps the coefficients of
and
for
. But what about
? We calculate
which flips the sign of the last coefficient of . As we did in the
case, we can use this to flip the signs of whichever coefficients we want. Since these transformations send the lattice
back into itself, they send
to itself and we do have a root system.
Finally, since we don’t have any restrictions on how many signs we can flip, the Weyl group for is exactly the wreath product
.
So, what about ? This is just the dual root system to
! The roots of squared-length
are left unchanged, but the roots of squared-length
are doubled. The Weyl group is the same —
— but now the short root in the base
is the long root, and so we flip the direction of the double arrow in the Dynkin diagram, giving the
diagram.
Construction of D-Series Root Systems
Starting from our setup, we construct root systems corresponding to the Dynkin diagrams (for
).
The construction is similar to that of the series, but instead of starting with a hyperplane in
-dimensional space, we just start with
-dimensional space itself with the lattice
of integer-coefficient vectors. We again take
to be the collection of vectors
of squared-length
:
. Explicitly, this is the collection of vectors
for
, where we can choose the two signs independently.
Similarly to the case, we define
for
, but these can only give vectors whose coefficients sum to
. To get other vectors, we throw in
, which is independent of the others. The linearly independent collection
has
vectors, and so must be a basis of the
-dimensional space.
As before, any vector in of the form
for
can be written as
while vectors of the form are a little more complicated. We can start with
and from this we can always build for
. Then if
we can write
. This proves that
is a base for
.
Again, we calculate the Cartan integers. The calculation for and
both less than
is exactly as before, showing that these vectors form a simple chain in the Dynkin diagram of length
. However, when we involve
we find
For , this is automatically
; for
, we get the value
; and for
we again get
. This shows that the Dynkin diagram of
is
.
Finally, we consider the reflections with respect to the . As in the
case, we find that
swaps the coefficients of
and
for
. But what about
?
This swaps the last two coefficients of and flips their sign. Clearly, this sends the lattice
back to itself, showing that
is indeed a root system.
Now we can use to flip the signs of coefficients of
, two at a time. We use whatever of the
we need to get the two coefficients we want into the last two slots, hit it with
to flip them, and then invert the first permutation to move everything back where it started from. In fact, this is a lot like what we saw way back with the Rubik’s cube, when dealing with the edge group. We can effect whatever permutation we want on the coefficients, and we can flip any even number of them.
The Weyl group of is then the subgroup of the wreath product
consisting of those transformations with an even number of flips coming from the
components. Explicitly, we can write
as the subgroup of
with sum zero. Then we can let
act on
by permuting the components, and use this to give an action of
on
, and thus form the semidirect product
.
Construction of A-Series Root Systems
Starting from our setup, we construct root systems corresponding to the Dynkin diagrams.
We start with the -dimensional space
with orthonormal basis
, and cut out the
-dimensional subspace
orthogonal to the vector
. This consists of those vectors
for which the coefficients sum to zero:
. We let
, consisting of the lattice vectors whose (integer) coefficients sum to zero. Finally, we define our root system
to consist of those vectors
such that
.
From this construction it should be clear that consists of the vectors
. The
vectors
are independent, and thus form a basis of the
-dimensional space
. This establishes that
spans
. In particular, if
we can write
showing that forms a base for
.
We calculate the Cartan integers for this base
For we get the value
; for
or
we get the value
; otherwise we get the value
. This clearly gives us the Dynkin diagram
.
Finally, the reflections with respect to the should generate the entire Weyl group. We must verify that these leave the lattice
invariant to be sure that we have a root system. We calculate
That is, it swaps the coefficients of and
, and thus sends the lattice
back to itself, as we need.
We can also see from this effect that any combination of the serves to permute the
coefficients of a given vector. That is, the Weyl group of the
system is naturally isomorphic to the symmetric group
.
Construction of Root Systems (setup)
Now that we’ve proven the classification theorem, we know all about root systems, right? No! All we know is which Dynkin diagrams could possibly arise from root systems. We don’t know whether there actually exists a root system for any given one of them. The situation is sort of like what we found way back when we solved Rubik’s magic cube: first we established some restrictions on allowable moves, and then we showed that everything else actually happened.
And so we must construct some actual root systems. For this task, we let stand for a finite-dimensional real vector space
for various
, equipped with its usual inner product. We pick an orthonormal basis
and let the integral linear combinations of these basis vectors form the lattice
. Here, I do not mean “lattice” in the order-theory sense. I mean that this is a discrete collection of points in the vector space that is closed under addition.
In every case we’re going to take either the lattice , or a slightly modified lattice
. We’ll define our root system
to be the collection of vectors in the lattice of either one or two specified lengths (since there can be at most two root lengths). That is, we’re considering the intersection of a discrete collection of points with one or two spheres. These spheres are closed and bounded, and thus compact. The collection
must be finite or else it would have an accumulation point by Bolzano-Weierstrass, and thus wouldn’t be discrete!
Any one of our constructed collections will span , and in fact an explicit basis will be shown in each case, in case it’s not clear. It should also be clear that none of them can contain the vector
, and so the first condition of being a root system will hold. Our choice of lengths will make it clear that there are no possible scalar multiples of a root besides itself and its negative. On the other hand, it should be clear that if
is in a lattice
and on a sphere
, then
is also in both, and thus the second condition holds.
The reflection preserves lengths, and so it sends the spheres back to themselves. We’ll have to check in each case that
sends every vector in our collection back into the lattice, which will establish the third condition.
As to the fourth condition, the inner product is automatically going to be in
when we pick
and
from a lattice, and so picking the squared radii of our spheres to divide
should be enough to guarantee that
.
Tomorrow we start in constructing our root systems, towards the theorem: For each Dynkin diagam allowed by the classification theorem, there exists an irreducible root system having that diagram.
Proving the Classification Theorem V
Today we conclude the proof of the classification theorem. The first four parts of the proof are here, here, here, and here.
- The only possible Coxeter graphs with a triple vertex are those of the forms
,
,
, and
.




From step 8 we have the labelled graph

Like we did in step 9, we define
These vectors ,
, and
are mutually orthogonal, linearly independent vectors, and that
is not in the subspace that they span.
We look back at our proof of step 4 to determine that ; where
,
, and
are the angles between
and
,
, and
, respectively. We look back at our proof of step 9 to determine that
,
, and
. Thus we can calculate the cosine
And similarly we find , and
. Adding up, we find
This last inequality, by the way, is hugely important in many areas of mathematics, and it’s really interesting to find it cropping up here.
Anyway, now none of ,
, or
can be
or we don’t have a triple vertex at all. We can also choose which strand is which so that
We can determine from here that
and so we must have , and the shortest leg must be one edge long. Now we have
, and so
, and
must be either
or
.
If , then the second shortest leg is two edges long. In this case,
and
. The possibilities for the triple
are
,
, and
; giving graphs
,
, and
, respectively.
On the other hand, if , then the second shortest leg is also one edge long. In this case, there is no more restriction on
, and so the remaining leg can be as long as we like. This gives us the
family of graphs.
And we’re done! If we have one triple edge, we must have the graph . If we have a double edge or a triple vertex, we can have only one, and we can’t have one of each. Step 9 narrows down graphs with a double edge to
and the families
and
, while step 10 narrows down graphs with a triple vertex to
,
, and
, and the family
. Finally, if there are no triple vertices or double edges, we’re left with a single simple chain of type
.
Proving the Classification Theorem IV
We continue proving the classification theorem. The first three parts are here, here, and here.
- Any connected graph
takes one of the four following forms: a simple chain, the
graph, three simple chains joined at a central vertex, or a chain with exactly one double edge.
- The only possible Coxeter graphs with a double edge are those underlying the Dynkin diagrams
,
, and
.
This step largely consolidates what we’ve done to this point. Here are the four possible graphs:




The labels will help with later steps.
Step 5 told us that there’s only one connected graph that contains a triple edge. Similarly, if we had more than one double edge or triple vertex, then we must be able to find two of them connected by a simple chain. But that will violate step 7, and so we can only have one of these features either.


Here we’ll use the labels on the above graph. We define
As in step 6, we find that and all other pairs of vectors are orthogonal. And so we calculate
And similarly, . We also know that
, and so we find
Now we can use the Cauchy-Schwarz inequality to conclude that
where the inequality is strict, since and
are linearly independent. And so we find
We thus must have either , which gives us the
diagram, or
or
with the other arbitary, which give rise the the
and
Coxeter graphs.
