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1. Fenchel-Nielsen Coordinates for Teichmuller Space
Here we discuss a very nice set of coordinates for Teichmuller space. The basic idea is that we cut the surface up into small pieces (pairs of pants); hyperbolic structures on these pieces are easy to parameterize, and we also understand the ways we can put these pieces together.
In order to define these coordinates, we first cut the surface up. A pair of pants is a thrice-punctured sphere.

Another way to specify it is that it is a genus surface with euler characteristic
and three boundary components. We can cut any surface up into pairs of pants with simple closed curves. To see this, we can just exhibit a general cutting: slice with
“vertical” simple closed curves.

This is not the only way to cut a surface into pairs of pants. For example, with the once-punctured torus any pair of coprime integers gives us a curve which cuts the surface into a pair of pants. We are going to show that a point in Teichmuller space is determined by the lengths of the curves, plus
other coordinates, which record the “twisting” of each gluing curve.
Now, given a choice of disjoint simple closed surves
, we associate to
the family of geodesics in
in the homotopy classes of the
. In each class, there is a unique geodesic, but how do we know the geodesics in
are pairwise disjoint?
Lemma 1 Suppose
is a family of pairwise disjoint simple closed curves in a hyperbolic surface
, and
are the (unique) geodesic representatives in the homotopy classes of the
.
- The geodesics in
are pairwise disjoint simple closed curves.
- As a family, the
are ambient isotopic to
.
Proof: Consider a loop and its geodesic representative
. Suppose that
intersects itself. Now
and
cobound an annulus, which lifts to the universal cover: in the universal cover we must find the lift of the intersection as an intersection between two lifts
and
. Because the annulus bounding
and
lifts to the universal cover, there are two lifts
and
of
which are uniformly close to
and
. We therefore find that
and
intersect, which means that
intersects itself, which is a contradiction. The same idea shows that the geodesic representatives
are pairwise disjoint.
To see that they are ambient isotopic as a family, it is easiest to lift the picture to the universal cover. At that point, we just need to “wiggle” everything a little to match up the lifts of the and
.
With the lemma, we see that to a point in Teichmuller space we get pairwise disjoint simple closed geodesics, which gives us
positive coordinates, namely, the lengths of these curves. We might wonder: what triples of points can arise as the lengths of the boundary curves in hyperbolic pairs of pants? It turns out that:
Lemma 2 There exists a unique hyperbolic pair of pants with cuff lengths
, for any
. Cuff lengths here refers to the lengths of the three boundary components.
Proof: We will now prove the lemma, which involves a little discussion. Suppose we are given a hyperbolic pair of pants. We can double it to obtain a genus two surface:

The curves are shown in red, and representatives of the other isotopy class fixed by the involution are in blue.
There is an involution (rotation around a skewer stuck through the surface horizontally) which fixes the (glued up) boundaries of the pairs of pants. This involution also fixes the isotopy classes of three other disjoint simple closed curves, and there is a unique geodesic in these isotopy classes. Since the
are fixed by the involution, they must intersect the
at right angles. If we cut along the
to get (two copies of) our original pair of pants, we have found that there is a unique triple of geodesics
which meet the boundaries at right angles:

Cutting along the , we get two hyperbolic hexagons:

We will prove in a moment that there is a unique hyperbolic right-angled hexagon with three alternating edge lengths specified. In particular, there is a unique hyperbolic right-angled hexagon with alternating edge lengths . Since there is a unique way to glue up the hexagons to obtain our original
pair of pants, there is a unique hyperbolic pair of pants with specified edge lengths.
Lemma 3 There is a unique hyperbolic right-angled hexagon with alternating edge lengths
.
Proof: Pick some geodesic and some point
on it. We will show the hexagon is now determined, and since we can map a point on a geodesic to any other point on a geodesic, the hexagon will be unique up to isometry. Draw a geodesic segment of length
at right angles from
. Call the other end of this segment
. There is a unique geodesic
passing through
at right angles to the segment. Pick some point
on
at length
from
(we will be varying
). From
there is a unique geodesic segment of length
at right angles to
; call its endpoint
. There is a unique geodesic
through
at right angles to this segment. Now, there is a unique geodesic segment at right angles to
and
. Of course, the length
of this segment depends on
.

If we make large, then
becomes large, and there is some positive
such that
goes to
. Therefore, there is a unique length
making
. We have now determined the hexagon, and, up to isometry, all of our choices were forced, so there is only one.
Since there is a unique hyperbolic pair of pants with specified cuff lengths, when we cut our surface of interest up into pairs of pants, we get a map
which takes a point
to the
lengths of the curves cutting
into pairs of pants. This map is not injective: the fiber over a point is all the ways to glue together the pairs of pants.
The issue is that when we want to glue two curves together, we have to decide whether to twist them at all before gluing. Up to isometry, there are
ways to glue these curves together (all the angles). However, in (marked) Teichmuller space, there are
ways to glue it up. Draw another curve
(this
is not the same as the
before). The marking on
lets us observe what happens to
under
, and we can see that twisting the pairs of pants around
results in nontrivial movement in Teichmuller space.

The twist above results in the following new curve:

The length of determines how twisted the gluing is, since twisting requires increasing its length. That is, given the image of
, there is a unique way to untwist it to get a minimum length. This tells us how twisted the original gluing was.
To understand the twisting around all the curves in
, we must pick another
curves; one simple way is to declare that
looks like the above pictures if we are gluing two distinct pairs of pants, and like this:

if we are gluing a pair of pants to itself. This construction gives us a global homeomorphism
Here is an example of a choice of and
curves. The
curves get a little messy in the middle: try to fit the pictures above into the context of the one below to see that they are correct.

1.1. A Symplectic Form on Moduli Space
The length and twist coordinates and
are not well-defined on Moduli space, but their derivatives are: define the 2 form on Teichmuller space
It is a theorem of Wolpert that this 2-form is independent of the choice of coordinates, so it descends to a 2-form on Moduli space. It is very usful that Modi space is symplectic.
This post introduces Teichmuller and Moduli space. The upcoming posts will talk about Fenchel-Nielsen coordinates for Teichmuller space; it’s split up because I figured this was a relatively nice break point. Hopefully, I will later add some pictures to this post.
1. Uniformization
This section starts to talk about Teichmuller space and related stuff. First, we recall the uniformization theorem:
If is a closed surface (Riemannian manifold), then there is a unique* metric of constant curvature in its conformal class. The asterisk * refers to the fact that the metric is unique if we require that it has curvature
. If
, then the metric has curvature zero and it is unique up to euclidean similarities.
2. Teichmuller and Moduli Space of the Torus
Let us see what we can conclude about flat metrics on the torus. We would like to classify them in some way. Choose two straight curves and
on the torus intersecting once (a longitude and a meridian) and cut along these curves. We obtain a parallelogram which can be glued up along its edges to retrieve the original torus. This parallelogram lives/embeds in
, and, by composing the embedding with euclidean similarities, we may assume that the bottom left corner is at
and the bottom right is
. The parallelogram is therefore determined by where the upper left hand corner is: some complex number
with
. Notice that this is the upper half-plane, which we can think of as hyperbolic space. Therefore, there is a bijection:
{ Torii with two chosen loops up to euclidean similarity } {
}
This set is called the Teichmuller space of the torus. We don’t really care about the loops and
, so we’d like to find a group which takes one choice of loops to another and acts transitively. The quotient of this will be the set of flat metrics on the torus up to isometry, which is known as Moduli space.
We are interested in the mapping class group of the torus, which is defined to be
Where denotes the connected component of the identity. That is, the mapping class group is the group of homeomorphisms (homotopy equivalences), up to isotopy (homotopy). The reason for the parentheses is that for surfaces, we may replace homeomorphism and isotopy by homotopy equivalence and homotopy, and we will get the same group (these catagories are equivalent for surfaces).
To find , think of the torus as the unit square in
spanned by the standard unit basis vectors. Then a homeomorphism of
must send the integer lattice to itself, so the standard basis must go to a basis for this lattice, and the transformation must preserve the area of the torus. Up to isotopy, this is just linear maps of determinant
(not
because we want orientation-preserving) preserving the integer lattice, which we care about up to scale, otherwise known as
.
Using the bijection above, the mapping class group of the torus acts on , and this action is
This action is probably familiar to you from complex analysis.
In summary, the Teichmuller space of the torus is (can be represented as) , and the mapping class group
acts on this space, and the quotient of this action is the set of flat metrics up to isometry, which is Moduli space. What is the quotient? A fundamental region for the action is the set
Which is glued to itself by a flip in the axis. The resulting Moduli space is an orbifold: one point is ideal and goes off to infinity, one point looks locally like
quotiented by a rotation of
, and the other point looks like
quotiented by a rotation of
.
3. Teichmuller Space and Moduli Space for Negatively Curved Surfaces
Now we will go through a similar process for closed, boundaryless, oriented surfaces of negative Euler characteristic. It is possible to do this for surfaces with boundary, etc, but for simplicity, we will stick to multi-holed torii (this what closed, boundaryless, oriented surfaces of negative Euler characteristic are) for now.
We start with a topological surface . Topological meaning we do not associate with it a metric. We want to classify the hyperbolic metrics we could give to
. Define Teichmuller space
to be the set of equivalence classes of pairs
where
is a hyperbolic surface and
is a homotopy equivalence. As mentioned earlier, anywhere “homotopy equivalence” appears here, you may replace it with “homeomorphism” as long as you replace “homotopy” with “isotopy.” The equivalence relation on pairs is the following:
iff there exists an isometry
such that
is homotopic to
.
Define the Moduli space of
to be isometry classes of surfaces
which are homotopy equivalent to
. There is an obvious map
defined by mapping
, and this map respects the equivalence relations, because if
, then
is isometric to
(since it is isometric by an isometry commuting with
and
).
As with the torus, define the mapping class group to be the group of homotopy equivalences of
with itself, up to homotopy. Then
acts on
by
. The quotient of
by this action is
: clearly we never identify surfaces which are not isometric, and if
is an isometry, and
,
are points in Teichmuller space with any
, then notice
has an inverse (up to homotopy), so if we act on
by
, we get
, which is the same point in
as
. We are abusing notation here, because we are thinking of
,
and
as the same surface (which they are, topologically). The point is that by acting by
we can rearrange
so that after mapping by
we are homotopic to
. The result of this is that
A priori, we are interested in hyperbolic metrics on up to isometry — Moduli space. The reason for defining Teichmuller space is that Moduli space is rather complicated. Teichmuller space, on the other hand, will turn out to be as nice as you could want (
for a genus
surface). By studying the very nice Teichmuller space plus the less-nice-but-still-understandable mapping class group, we can approach Moduli space.
4. Coordinates for Teichmuller Space
Now we will take a closer look at Teichmuller space and give it coordinates.
4.1. Very Overdetermined (But Easy) Coordinates
One way to give this space coordinates is the following. Let us choose a homotopy class of loop in (this is a conjugacy class in
), and we’ll represent this class by the loop
. Given a point
, there is a unique geodesic representative in the free homotopy class of the loop
. Define
to be the length of this representative. Let
be the set of conjugacy classes in
. Then we have defined a map
by
This is nice in the sense that it’s a real vector space, but not nice in that it’s infinite dimensional. We will see that we need a finite number of dimensions.
4.2. Dimension Counting
Method 1
Let’s try to count the dimension of . Suppose that
has genus
. We can obtain
by gluing the edges of a
-gon in pairs (going counterclockwise, the labels read
,
,
,
,
…,
,
,
,
). Since we will be given
a hyperbolic metric, let us look at what this tells us about this polygon. We have a hyperbolic polygon; in order to glue it up, we must have
- The paired sides must have equal length.
- The corner angles must add to
.
For a triangle in hyperbolic space, the edges lengths are enough to specify the triangle up to isometry. Similarly, for a hyperbolic 4-gon (square), we need all the exterior edge lengths, plus 1 angle (the angle gives the length of a diagonal). By induction, a -gon needs
side lengths and
angles. For our
-gon, then, we need to specify
side lengths and
angles. This is
dimensions. However, we have
pairs, each of which gives a constraint, plus our single constraint about the angle sum. This reduces our dimension to
. Finally, we made an arbitrary choice about where the vertex of this polygon was in our surface. This is an extra two dimensions that we don’t care about (we disregard those coordinates), so we have
dimensions.
Method 2
A marked hyperbolic structure on gives a
-equivariant isometry
. That is, an element of
is
, which tells us how to map
isomorphically onto
, which is the same as the deck group of the universal cover
, which is
. Therefore, to an element of
is associated a discrete faithful representation of
to
, the group of isometries of
, and this representation is unique up to conjugacy (if we conjugate the image of the representation, then the quotient manifold is the same). The dimension of
is therefore the dimension of the space of representations of
in
up to conjugacy.
The fundamental group of has a nice presentation in terms of the polygon we can glue up to make it; the interior of the polygon gives us a single relation:
So is the subset of
such that
(here
is the free group on 2 generators, which is what we get if we forget the single relation). Now a representation in
is completely free: we can send the generators anywhere we want, so
Since is 3-dimensional, the right hand side is a real manifold of dimension
. Insisting that
map to
is a 3-dimensional constraint (it gives 4 equations, when you think of it as a matrix equation, but there is an implied equation already taken into account). Therefore we expect that
will be
dimensional. However, we are interested in representations up to conjugacy, so this removes another 3 dimensions, giving us the same dimension estimate for
as
dimensional.
In this post, I will cover triangles and area in spaces of constant (nonzero) curvature. We are focused on hyperbolic space, but we will talk about spheres and the Gauss-Bonnet theorem.
1. Triangles in Hyperbolic Space
Suppose we are given 3 points in hyperbolic space . A triangle with these points as vertices is a set of three geodesic segments with these three points as endpoints. The fact that there is a unique triangle requires a (brief) proof. Consider the hyperboloid model: three points on the hyperboloid determine a unique 3-dimensional real subspace of
which contains these three points plus the origin. Intersecting this subspace with the hyperboloid gives a copy of
, so we only have to check there is a unique triangle in
. For this, consider the Klein model: triangles are euclidean triangles, so there is only one with a given three vertices.
In hyperbolic space, it is still true that knowing enough side lengths and/or angles of a triangles determines it. For example, knowing two side lengths and the angle between them determines the triangle. Similarly, knowing all the angles determines it. However, not every set of angles can be realized (in euclidean space, for example, the angles must add to ), and the inequalities which must be satisfied are more complicated for hyperbolic space.
2. Ideal Triangles and Area Theorems
We can think about moving one (or more) of the points of a hyperbolic triangle off to infinity (the boundary of the disk). An ideal triangle is one with all three “vertices” (the vertices do not exist in hyperbolic space) on the boundary. Using a conformal map of the disk (which is an isometry of hyperbolic space), we can move any three points on the boundary to any other three points, so up to isometry, there is only one ideal triangle. We have fixed our metric, so we can find the area of this triangle. The logically consistent way to find this is with an integral since we will use this fact in our proof sketch of Gauss-Bonnet, but as a remark, suppose we know Gauss-Bonnet. Imagine a triangle very close to ideal. The curvature is , and the euler characteristic is
. The sum of the exterior angles is just slightly under
, so using Gauss-Bonnet, the area is very close to
, and goes to
as we push the vertices off to infinity.
One note is that suppose we know what the geodesics are, and we know what the area of an ideal triangle is (suppose we just defined it to be without knowing the curvature). Then by pasting together ideal triangles, as we will see, we could find the area of any triangle. That is, really the key to understanding area is knowing the area of an ideal triangle.
As mentioned above, there is a single triangle, up to isometry, with given angles, so denote the triangle with angles by
.
2.1. Area
Knowing the area of an ideal triangle allows us to calculate the area of any triangle. In fact:
Theorem 1 (Gauss)
![]()
This geometric proof relies on the fact that the angles in the Poincare model are the euclidean angles in the model. Consider the generic picture:

We have extended the sides of and drawn the ideal triangle containing these geodesics. Since the angles are what they look like, we know that the area of
is the area of the ideal triangle (
), minus the sum of the areas of the smaller triangles with two points at infinity:
Thus it suffices to show that .
For this fact, we need another picture:

Define . The picture shows that the area of the left triangle (with two vertices at infinity and one near the origin) plus the area of the right triangle is the area of the top triangle plus the area of the (ideal) bottom triangle:
We also know some boundary conditions on : we know
(this is a degenerate triangle) and
(this is an ideal triangle). We therefore conclude that
Similarly,
And we can find by observing that
Similarly, if we know , then
And by subtracting , we find that
. By induction, then,
if
is a dyadic rational times
. This is a dense set, so we know
for all
by continuity. This proves the theorem.
3. Triangles On Spheres
We can find a similar formula for triangles on spheres. A lune is a wedge of a sphere:

A lune.
Since the area of a lune is proportional to the angle at the peak, and the lune with angle has area
, the lune
with angle
has area
. Now consider the following picture:

Notice that each corner of the triangle gives us two lunes (the lunes for are shown) and that there is an identical triangle on the rear of the sphere. If we add up the area of all 6 lunes associated with the corners, we get the total area of the sphere, plus twice the area of both triangles since we have triple-counted them. In other words:
Solving,
4. Gauss-Bonnet
If we encouter a triangle of constant curvature
, then we can scale the problem to one of the two formulas we just computed, so
This formula allows us to give a slightly handwavy, but accurate, proof of the Gauss-Bonnet theorem, which relates topological information (Euler characteristic) to geometric information (area and curvature). The proof will precede the statement, since this is really a discussion.
Suppose we have any closed Riemannian manifold (surface) . The surface need not have constant curvature. Suppose for the time being it has no boundary. Triangulate it with very small triangles
such that
and
. Then since the deviation between the curvature and the curvature at the midpoint
is
times the distance from the midpoint,
For each triangle , we can form a comparison triangle
with the same edge lengths and constant curvature
. Using the formula from the beginning of this section, we can rewrite the right hand side of the formula above, so
Now since the curvature deviates by times the distance from the midpoint, the angles in
deviate from those in
just slightly:
So we have
Therefore, summing over all triangles,
The right hand side is just the total angle sum. Since the angle sum around each vertex in the triangulation is ,
Where is the number of vertices, and
is the number of triangles. The number of edges,
, can be calculated from the number of triangles, since there are
edges for each triangle, and they are each double counted, so
. Rewriting the equation,
Taking the mesh size to zero, we get the Gauss-Bonnet theorem
.
4.1. Variants of Gauss-Bonnet
- If
is compact with totally geodesic boundary, then the formula still holds, which can be shown by doubling the surface, applying the theorem to the doubled surface, and finding that euler characteristic also doubles.
- If
has geodesic boundary with corners, then
Where the turning angle is the angle you would turn tracing the shape from the outside. That is, it is
, where
is the interior angle.
- Most generally, if
has smooth boundary with corners, then we can approximate the boundary with totally geodesic segments; taking the length of these segments to zero gives us geodesic curvature (
):
4.2. Examples
- The Euler characteristic of the round disk in the plane is
, and the disk has zero curvature, so
. The geodesic curvature is constant, and the circumference is
, so
, so
.
- A polygon in the plane has no curvature nor geodesic curvature, so
.
The Gauss-Bonnet theorem constrains the geometry in any space with nonzero curvature. This the “reason” similarities which don’t preserve length and/or area exist in euclidean space; it has curvature zero.

Hyperbolic Geometry (157b) Notes #1
April 8, 2010 in Commentary, Euclidean Geometry, Groups, Hyperbolic geometry, Lie groups, Overview, Visualization | by aldenwalker | 5 comments
I am Alden, one of Danny’s students. Error/naivete that may (will) be found here is mine. In these posts, I will attempt to give notes from Danny’s class on hyperbolic geometry (157b). This first post covers some models for hyperbolic space.
1. Models
We have a very good natural geometric understanding of
, i.e. 3-space with the euclidean metric. Pretty much all of our geometric and topological intuition about manifolds (Riemannian or not) comes from finding some reasonable way to embed or immerse them (perhaps locally) in
. Let us look at some examples of 2-manifolds.
The Tractrix
The surface of revolution about the
-axis is the pseudosphere, an isometric embedding of a surface of constant curvature -1. Like the sphere, there are some isometries of the pseudosphere that we can understand as isometries of
, namely rotations about the
-axis. However, there are lots of isometries which do not extend, so this embeddeding does not serve us all that well.
2. 1-Dimensional Models for Hyperbolic Space
While studying 1-dimensional hyperbolic space might seem simplistic, there are nice models such that higher dimensions are simple generalizations of the 1-dimensional case, and we have such a dimensional advantage that our understanding is relatively easy.
2.1. Hyperboloid Model
Parameterizing
Consider the quadratic form
on
defined by
, where
. This doesn’t give a norm, since
is not positive definite, but we can still ask for the set of points
with
. This is (both sheets of) the hyperbola
. Let
be the upper sheet of the hyperbola. This will be 1-dimensional hyperbolic space.
For any
matrix
, let
. That is, matrices which preserve the form given by
. The condition is equivalent to requiring that
. Notice that if we let
be the identity matrix, we would get the regular orthogonal group. We define
, where
has
positive eigenvalues and
negative eigenvalues. Thus
. We similarly define
to be matricies of determinant 1 preserving
, and
to be the connected component of the identity.
is then the group of matrices preserving both orientation and the sheets of the hyperbolas.
We can find an explicit form for the elements of
. Consider the matrix
. Writing down the equations
and
gives us four equations, which we can solve to get the solutions
Since we are interested in the connected component of the identity, we discard the solution on the right. It is useful to do a change of variables
, so we have (recall that
).
These matrices take
to
. In other words,
acts transitively on
with trivial stabilizers, and in particular we have parmeterizing maps
The first map is actually a Lie group isomorphism (with the group action on
being
) in addition to a diffeomorphism, since
Metric
As mentioned above,
is not positive definite, but its restriction to the tangent space of
is. We can see this in the following way: tangent vectors at a point
are characterized by the form
. Specifically,
, since (by a calculation)
. Therefore,
takes tangent vectors to tangent vectors and preserves the form (and is transitive), so we only need to check that the form is positive definite on one tangent space. This is obvious on the tangent space to the point
. Thus,
is a Riemannian manifold, and
acts by isometries.
Let’s use the parameterization
. The unit (in the
metric) tangent at
is
. The distance between the points
and
is
In other words,
is an isometry from
to
.
1-dimensional hyperbollic space. The hyperboloid model is shown in blue, and the projective model is shown in red. An example of the projection map identifying
with
is shown.
2.2. Projective Model
Parameterizing
Real projective space
is the set of lines through the origin in
. We can think about
as
, where
is associated with the line (point in
) intersecting
in
, and
is the horizontal line. There is a natural projection
by projecting a point to the line it is on. Under this projection,
maps to
.
Since
acts on
preserving the lines
, it gives a projective action on
fixing the points
. Now suppose we have any projective linear isomorphism of
fixing
. The isomorphism is represented by a matrix
with eigenvectors
. Since scaling
preserves its projective class, we may assume it has determinant 1. Its eigenvalues are thus
and
. The determinant equation, plus the fact that
Implies that
is of the form of a matrix in
. Therefore, the projective linear structure on
is the “same” (has the same isometry (isomorphism) group) as the hyperbolic (Riemannian) structure on
.
Metric
Clearly, we’re going to use the pushforward metric under the projection of
to
, but it turns out that this metric is a natural choice for other reasons, and it has a nice expression.
The map taking
to
is
. The hyperbolic distance between
and
in
is then
(by the fact from the previous sections that
is an isometry).
Recall the fact that
. Applying this, we get the nice form
We also recall the cross ratio, for which we fix notation as
. Then
Call the numerator of that fraction by
and the denominator by
. Then, recalling that
, we have
Therefore,
.
3. Hilbert Metric
Notice that the expression on the right above has nothing, a priori, to do with the hyperbolic projection. In fact, for any open convex body in
, we can define the Hilbert metric on
by setting
, where
and
are the intersections of the line through
and
with the boundary of
. How is it possible to take the cross ratio, since
are not numbers? The line containing all of them is projectively isomorphic to
, which we can parameterize as
. The cross ratio does not depend on the choice of parameterization, so it is well defined. Note that the Hilbert metric is not necessarily a Riemannian metric, but it does make any open convex set into a metric space.
Therefore, we see that any open convex body in
has a natural metric, and the hyperbolic metric in
agrees with this metric when
is thought of as a open convex set in
.
4. Higher-Dimensional Hyperbolic Space
4.1. Hyperboloid
The higher dimensional hyperbolic spaces are completely analogous to the 1-dimensional case. Consider
with the basis
and the 2-form
. This is the form defined by the matrix
. Define
to be the positive (positive in the
direction) sheet of the hyperbola
.
Let
be the linear transformations preserving the form, so
. This group is generated by
as symmetries of the
plane, together with
as symmetries of the span of the
(this subspace is euclidean). The group
is the set of orientation preserving elements of
which preserve the positive sheet of the hyperboloid (
). This group acts transitively on
with point stabilizers
: this is easiest to see by considering the point
. Here the stabilizer is clearly
, and because
acts transitively, any stabilizer is a conjugate of this.
As in the 1-dimensional case, the metric on
is
, which is invariant under
.
Geodesics in
can be understood by consdering the fixed point sets of isometries, which are always totally geodesic. Here, reflection in a vertical (containing
) plane restricts to an (orientation-reversing, but that’s ok) isometry of
, and the fixed point set is obviously the intersection of this plane with
. Now
is transitive on
, and it sends planes to planes in
, so we have a bijection
{Totally geodesic subspaces through
}
{linear subspaces of
through
}
By considering planes through
, we can see that these totally geodesic subspaces are isometric to lower dimensional hyperbolic spaces.
4.2. Projective
Analogously, we define the projective model as follows: consider the disk
. I.e. the points in the
plane inside the cone
. We can think of
as
, so this disk is
. There is, as before, the natural projection of
to
, and the pushforward of the hyperbolic metric agrees with the Hilbert metric on
as an open convex body in
.
Geodesics in the projective model are the intersections of planes in
with
; that is, they are geodesics in the euclidean space spanned by the
. One interesting consequence of this is that any theorem which is true in euclidean geometry which does not reply on facts about angles is still true for hyperbolic space. For example, Pappus’ hexagon theorem, the proof of which does not use angles, is true.
4.3. Projective Model in Dimension 2
In the case that
, we can understand the projective isomorphisms of
by looking at their actions on the boundary
. The set
is projectively isomorphic to
as an abstract manifold, but it should be noted that
is not a straight line in
, which would be the most natural way to find
‘s embedded in
.
In addition, any projective isomorphism of
can be extended to a real projective isomorphism of
. In other words, we can understand isometries of 2-dimensional hyperbolic space by looking at the action on the boundary. Since
is not a straight line, the extension is not trivial. We now show how to do this.
The automorphisms of
are
. We will consider
. For any Lie group
, there is an Adjoint action
defined by (the derivative of) conjugation. We can similarly define an adjoint action
by the Lie algebra on itself, as
for any path
with
. If the tangent vectors
and
are matrices, then
.
We can define the Killing form
on the Lie algebra by
. Note that
is a matrix, so this makes sense, and the Lie group acts on the tangent space (Lie algebra) preserving this form.
Now let’s look at
specifically. A basis for the tangent space (Lie algebra) is
,
, and
. We can check that
,
, and
. Using these relations plus the antisymmetry of the Lie bracket, we know
Therefore, the matrix for the Killing form in this basis is
This matrix has 2 positive eigenvalues and one negative eigenvalue, so its signature is
. Since
acts on
preserving this form, we have
, otherwise known at the group of isometries of the disk in projective space
, otherwise known as
.
Any element of
(which, recall, was acting on the boundary of projective hyperbolic space
) therefore extends to an element of
, the isometries of hyperbolic space, i.e. we can extend the action over the disk.
This means that we can classify isometries of 2-dimensional hyperbolic space by what they do to the boundary, which is determined generally by their eigevectors (
acts on
by projecting the action on
, so an eigenvector of a matrix corresponds to a fixed line in
, so a fixed point in
. For a matrix
, we have the following:
5. Complex Hyperbolic Space
We can do a construction analogous to real hyperbolic space over the complexes. Define a Hermitian form
on
with coordinates
by
. We will also refer to
as
. The (complex) matrix for this form is
, where
. Complex linear isomorphisms preserving this form are matrices
such that
. This is our definition for
, and we define
to be those elements of
with determinant of norm 1.
The set of points
such that
is not quite what we are looking for: first it is a
real dimensional manifold (not
as we would like for whatever our definition of “complex hyperbolic
space” is), but more importantly,
does not restrict to a positive definite form on the tangent spaces. Call the set of points
where
by
. Consider a point
in
and
in
. As with the real case, by the fact that
is in the tangent space,
Because
is hermitian, the expression on the right does not mean that
, but it does mean that
is purely imaginary. If
, then
, i.e.
is not positive definite on the tangent spaces.
However, we can get rid of this negative definite subspace.
as the complex numbers of unit length (or
, say) acts on
by multiplying coordinates, and this action preserves
: any phase goes away when we apply the absolute value. The quotient of
by this action is
. The isometry group of this space is still
, but now there are point stabilizers because of the action of
. We can think of
inside
as the diagonal matrices, so we can write
And the projectivized matrices
is the group of isometries of
, where the middle
is all vectors in
with
(which we think of as part of complex projective space). We can also approach this group by projectivizing, since that will get rid of the unwanted point stabilizers too: we have
.
5.1. Case
In the case
, we can actually picture
. We can’t picture the original
, but we are looking at the set of
such that
. Notice that
. After projectivizing, we may divide by
, so
. The set of points
which satisfy this is the interior of the unit circle, so this is what we think of for
. The group of complex projective isometries of the disk is
. The straight horizontal line is a geodesic, and the complex isometries send circles to circles, so the geodesics in
are circles perpendicular to the boundary of
in
.
Imagine the real projective model as a disk sitting at height one, and the geodesics are the intersections of planes with the disk. Complex hyperbolic space is the upper hemisphere of a sphere of radius one with equator the boundary of real hyperbolic space. To get the geodesics in complex hyperbolic space, intersect a plane with this upper hemisphere and stereographically project it flat. This gives the familiar Poincare disk model.
5.2. Real
‘s contained in
In a similar vein, there is a symplectic structure on
such that the real
are lagrangian subspaces (the flattest), and the
are symplectic, the most negatively curved.
An important thing to mention is that complex hyperbolic space does not have constant curvature(!).
6. Poincare Disk Model and Upper Half Space Model
The projective models that we have been dealing with have many nice properties, especially the fact that geodesics in hyperbolic space are straight lines in projective space. However, the angles are wrong. There are models in which the straight lines are “curved” i.e. curved in the euclidean metric, but the angles between them are accurate. Here we are interested in a group of isometries which preserves angles, so we are looking at a conformal model. Dimension 2 is special, because complex geometry is real conformal geometry, but nevertheless, there is a model of
in which the isometries of the space are conformal.
Consider the unit disk
in
dimensions. The conformal automorphisms are the maps taking (straight) diameters and arcs of circles perpendicular to the boundary to this same set. This model is abstractly isomorphic to the Klein model in projective space. Imagine the unit disk in a flat plane of height one with an upper hemisphere over it. The geodesics in the Klein model are the intersections of this flat plane with subspaces (so they are straight lines, for example, in dimension 2). Intersecting vertical planes with the upper hemisphere and stereographically projecting it flat give geodesics in the Poincare disk model. The fact that this model is the “same” (up to scaling the metric) as the example above of
is a (nice) coincidence.
The Klein model is the flat disk inside the sphere, and the Poincare disk model is the sphere. Geodesics in the Klein model are intersections of subspaces (the angled plane) with the flat plane at height 1. Geodesics in the Poincare model are intersections of vertical planes with the upper hemisphere. The two darkened geodesics, one in the Klein model and one in the Poincare, correspond under orthogonal projection. We get the usual Poincare disk model by stereographically projecting the upper hemisphere to the disk. The projection of the geodesic is shown as the curved line inside the disk
The Poincare disk model. A few geodesics are shown.
Now we have the Poincare disk model, where the geodesics are straight diameters and arcs of circles perpendicular to the boundary and the isometries are the conformal automorphisms of the unit disk. There is a conformal map from the disk to an open half space (we typically choose to conformally identify it with the upper half space). Conveniently, the hyperbolic metric on the upper half space
can be expressed at a point
(euclidean coordinates) as
. I.e. the hyperbolic metric is just a rescaling (at each point) of the euclidean metric.
One of the important things that we wanted in our models was the ability to realize isometries of the model with isometries of the ambient space. In the case of a one-parameter family of isometries of hyperbolic space, this is possible. Suppose that we have a set of elliptic isometries. Then in the disk model, we can move that point to the origin and realize the isometries by rotations. In the upper half space model, we can move the point to infinity, and realize them by translations.