We continue our work classifying the transformations of a properly convex domain. Let be open and properly convex in , and suppose is not elliptic. Then as we saw last time, has an attracting fixed point . We also saw that where is a -eigenvector of (where is the spectral radius, i.e. the absolute value of the largest eigenvalue of .)

We break our analysis into two cases: * (hence is hyperbolic) * (hence is parabolic)

Let’s consider the first case. Let . We note that also, and we can find an attracting fixed point of , where is an eigenvector of . Then it is clear that is a fixed point of , and that is a eigenvector of .

Now let be the projective line in through and . Any point on this line is moved to another point on the line, but how far does it move? To answer this, we view the line as a copy of and apply a Mobius transformation to set , , and . Then a simple calculation shows that .

We have just seen that for any ,

So we set and call this the translation length of .

As we saw in a previous lecture, also acts on the dual , and we can find attracting and repelling fixed points; call them and respectively. In fact, these fixed points correspond to supporting hyperplanes of , written and . We foliate by a pencil of hyperplanes with core . Next we note that any four points from the same four hyperplanes in the foliation have the same cross ratio.
Thus, projecting along these hyperplanes onto the line is a distance decreasing function, as points on the boundary of must be closer together than projections of and .

Theorem: Supposes that is strictly convex.

1 If a hyperbolic trasformation, then there exist a unique attractor and repeller .

2 The line connecting and , called the axis of , consists of all points realizing the translation length, that is, all points such that .

3 The Jordan blocks of and have size 1.

Proof.

1 As noted above, we know that and that , but since is strictly convex the hyperplane meets its boundary at just one point. A similar argument applies to .

2 It was already shown above that all the points on this line realize the translation length. Additionally, projecting along the pencil of hyperplanes as described just before this theorem is a strictly distance decreasing transformation in the strictly convex case.

3 To show this, we must find an -invariant complement to the space generated by and , but the core of our pencil of hyperplanes is just such a complement. QED.

We now consider the case where , when we have a parabolic transformation. Then there is an attracting fixed point .

We define the index of , to be the size of its most powerful Jordan block. If is parabolic, then is odd.

To prove this, first suppose has a single Jordan block, so . Then we can choose coordinates such that and where is a matrix with 1’s above the diagonal and 0 elsewhere. Note that and . So,

and for large , the term dominates. So as we repeatedly apply (or ) our point approaches . Now if is odd, the sign of the term is the sign of . This implies that , contradicting the fact that is properly convex. Thus is even and is odd.

Now we consider the general case. Suppose and let be the cyclic -module generated by . has a single Jordan block. If we assume generates the largest Jordan block, then we consider and reduce to the previous case.

Theorem: Let be parabolic and suppose is strictly convex. Then has a unique attracting fixed point in .

Finally, here’s an interesting unsolved question. Fix , and consider the set of points moved distance less than by an isometry of a properly convex set. Is this set connected?

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