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Uniform distribution of saddle connection lengths
Abstract
For any invariant and ergodic probability measure on any stratum of flat surfaces, almost every flat surface has the property that its non-decreasing sequence of saddle connection lengths is uniformly distributed mod one.
1 Introduction
By a flat surface we mean a pair where is a closed, compact Riemann surface of genus and is a non-zero holomorphic one form on . Every non-zero holomorphic one form on has zeros where is the genus of . Fixing the genus of the set is partitioned into strata according to the possible partitions of . Each connected component of a stratum carries a natural volume measure that is invariant under the action of on pairs . The action preserves the area of . Masur [Mas82] and Veech [Vee82] showed independently that the natural volume on a connected component induces on its subset of unit area flat surfaces a probability measure that is ergodic for the actions.
Fix a flat surface . Every non-zero holomorphic one form gives, away from its finite set of zeroes, an atlas of charts to whose transition maps are translations in . For every we can use such an atlas to induce a foliation on given locally by the lines in making an angle of with the horiontal axis. We can also use such an atlas to measure lengths of curves on . In particular we can calculate the lengths of the leaves in the above foliations. A saddle connection of is any leaf of any of these foliations that starts and ends at a point of . The holonomy of a saddle connection is the vector
in .
In this paper we are interested in the uniform distribution of saddle connection lengths. Recall that a sequence in is uniformly distributed mod 1 when
for all intervals . The well-known Weyl criterion is that uniform distribution of is equivalent to
for all and one can use it to prove, for example, that is uniformly distributed for all irrational .
Returning to flat surfaces (and suppressing from our notation) we write for the set of saddle connections of . For each write for the set of saddle connections whose holonomy vectors have length at most . Given also write for the set of saddle connections whose holonomy vectors lie within the ellipse .
It follows from minor modifications to work of Vorobets [Vor05, Theorem 1.9] that the projection of to the unit circle along rays through the origin is uniformly distributed as for almost every . Specifically, by [Vor05, Proposition 4.5] it suffices to show that the set of saddle connection holonomies satisfy axioms (0), (A), (B), (C) and (E) therein. That saddle connections doe satisfy these axioms follows from the definitions and results in [EM01] just as it does for the sets Vorobets considers.
Our main result is that lengths of saddle connection holonomy vectors are also almost always uniformly distributed mod 1. To make sense of this we fix, for each flat surface , an enumeration of such that is non-decreasing.
Theorem 1.
For any invariant and ergodic probability measure on and almost every flat surface the sequence is uniformly distributed.
Masur [Mas88, Mas90] proved that for every surface there exists , (depending on ) so that for all large we have
(2) |
(see also Vorobets [Vor03]). Veech [Vee98] introduced what is now called the Siegel-Veech transform to show that there exists depending only on and so that
for almost every . He also showed the limit exists for all surfaces in certain suborbifolds of . Building on Veech’s approach, Eskin-Masur [EM01] proved that for every invariant and ergodic probability measure there exists so that we have
(3) |
for almost every . Dozier [Doz17a] proved analogues of these results for saddle connections with holonomies in certain sectors of directions.
The best known results for asymptotic counting that hold on all surfaces are Eskin, Mirzakhani and Mohammadi’s result [EMM15, Theorem 2.12] that every surface has an asymptotic growth of saddle connections on average, and Dozier’s result [Doz17] building on techniques in [EM11] that the constants in (2) can be chosen to depend only on the connected component of the stratum in question. The best almost everywhere counting result is the following theorem of Nevo, Rühr and Weiss.
Theorem 4 ([NRW17, Theorem 1.1]).
For every invariant and ergodic probability measure on there are constants such that almost every flat surface satisfies
(5) |
for all .
The gaps of saddle connection directions has also been studied by Athreya, the first named author, Lelievre, Uyanik and Work [AC12], [ACL15] and [UW16]. Recently Athreya, Cheung and Masur [ACM17] have begun investigating the properties of the Siegel-Veech transform.
Most of these papers to a greater or lesser extent adhere to the philosophy of renormalization dynamics, using the action and especially the geodesic flow
to translate questions about long saddle connections to moderate saddle connections on different surfaces. Our approach is a little different: we still use the action, but only as a means to perturb. Namely, we do not apply the geodesic flow long enough to make a saddle connection in length. Instead, writing also
we prove that for almost every and for almost every the lengths of saddle connections on are uniformly distributed mod 1. However, we emphasize that we do use Theorem 4, which does use renormalization dynamics.
We remark that even if the conclusion of [NRW17, Theorem 1.1] were known for every flat surface, our methods would not give uniform distribution of saddle connection lengths for every flat surface. Therefore, the following question is in general open.
Question 6.
Is the sequence uniformly distributed for every flat surface?
However, in the presence a very strong error term for the saddle connection counting function one can obtain uniform distribution of saddle connection lengths everywhere with a much simpler proof. The appendix by Daniel El-Baz and Bingrong Huang proves using Huxley and Nowak’s bound [HN96] on the counting function for primitive lattice points that the conclusion of Theorem 1 holds for every torus.
The research of J. Chaika was supported in part by NSF grants DMS-135500 and DMS-1452762, the Sloan foundation, a Poincarè chair, and a Warnock chair. J. Chaika thanks Alex Eskin for encouraging him to pursue this question. The research of D. Robertson was supported by NSF grant DMS-1703597.
2 Proof of Theorem 1
In this section we prove Theorem 1. Let be the set of unit-area flat surfaces in the connected component of a stratum and write for the Masur-Veech probability measure on . Let and be as in Theorem 4. Our proof of Theorem 1 has the following four ingredients.
-
1.
The Weyl criterion.
-
2.
An exhaustion by compact sets.
-
3.
A relation with orbit averages.
-
4.
A linear approximation to handle exponential sums.
These steps are covered in the following four subsections. In Subsection 2.5 we combine the steps to prove Theorem 1.
2.1 The Weyl criterion
By the Weyl criterion for uniform distrubtion the following result implies Theorem 1. Recall that is an enumeration of such that is non-decreasing.
Theorem 7.
For almost every we have
(8) |
for every .
Fix and write for any . To prove that (8) holds almost surely we use the following theorem.
Lemma 9.
Proof.
This is a fact about Cesàro convergence. Fix a sequence . Suppose that a bounded sequence has the property that
for all . We verify that Cesàro converges to . Indeed, fix and such that
(11) |
and choose so large that
holds for all . Put . Given write with and maximal. Now
giving . So
as desired. ∎
We conclude this subsection by replacing (10) with an average over all saddle connections whose holonomy vectors have length at most .
Lemma 12.
If
(13) |
for almost every then
for almost every .
Proof.
For almost every there is from Theorem 4 a constant with
for all . Dividing by gives the desired result. ∎
2.2 An exhaustion by compact sets
To relieve notation slightly we now consider the expression
(14) |
for . Our goal is to estimate the size of this average. We do so on compact sets that exhaust a full-measure subset of . To define our compact sets write for the length of the shortest saddle connection of and
for the almost-surely defined optimal constant in (5). Fix small and large. Let be a compact subset of on which both
and
(15) |
hold. We can find such a compact set because is measurable. As and our compact set exhausts up to a set of measure zero.
To describe the behavior of (14) on we introduce some constants. Fix and choose such that
with coming from Theorem 4. There is such that
(16) |
whenever . We only consider below values of large enough that
(17) |
and fix the relationship
(18) |
between and . Note that (17) implies . Although and are related we think of as the small amount of time we will geodesic flow for, and as a large bound on the lengths of our saddle connections.
2.3 A relation with orbit averages
The main result of this section is a relation between (14) on and its average over a small disc.
Theorem 19.
Proof.
Let
be the set whose measure we wish to bound. Write for Haar measure on , which is left and right invariant because is unimodular. For each write
where is the hyperbolic distance on the upper half-plane determined by the metric of constant curvature . In this metric the area of a hyperbolic disc of radius is so whenever we have
(21) |
using the hyperbolic double angle formula.
The defining property of gives
after using the Cartan integral formula [Kna01, Proposition 5.28] with normalized appropriately. We can eliminate the integral over because the rotation doesn’t change the sum. Together with some simple estimates we arrive at
where is some absolute positive constant because . It therefore suffices by (21) to prove
(22) |
holds.
Given and write . Put
and note that
(23) | ||||
by invariance of and Fubini. Write
for any . As in (23) we have
for every and it follows for every that
(24) |
because whenever .
Claim.
Proof.
If then there is with and . Fix with . We get
since is invariant on both sides and ∎
The following lemma, another application of Theorem 4, will allow us to move the action of from to the holonomy vectors in the summation.
Lemma 25.
For every we have
all .
Proof.
Corollary 26.
For every we have
(27) |
for all and all .
Proof.
Apply the lemma with in place of . Then note that when the two sums are equal. ∎
2.4 A linear approximation
In this section we estimate the right-hand side of (20), proving the following result.
Theorem 28.
There is such that
(29) |
for almost all .
Lemma 30.
We have
(31) |
whenever and satisfies .
Proof.
We now focus on
(33) |
for fixed . Note that
(34) |
because is invariant.
Lemma 35.
If satisfy
(36) |
then
holds.
Proof.
In absolute value (33) is equal to
by using (34) then integrating over . First, by making a substitution, we can assume is horizontal. We have and . So
where and is chosen appropriately using the angle addition formula. We are therefore interested in
and consider separately the integral over small intervals centered at zeros of and what remains. Precisely, if is an interval of radius centered at a zero of then
for all by (17), giving
for every by definition of (see (16)). There being four such intervals, we can estimate
(37) | ||||
by trivially estimating the numerator on the complement of the four intervals. So (after substituting away ) we wish to make
(38) |
small. Now on so
holds. With (18) the quantity (38) becomes
so we wish to determine when not too small. So we estimate the size of recalling that is horizontal. Let be the angle between and so that . Then
and (36) concludes the proof. ∎
Lemma 39.
Fix . We have
for every .
Proof.
The cardinality of the set is the same as the number of saddle connections of in the annulus . By Theorem 4 this cardinality is at most
by choice of . ∎
We can now give the proof of Theorem 28.
Proof of Theorem 28.
It suffices to prove that
for some by Lemma 30. For each consider the inner sum over above in two parts, according to whether satisfies (36). By Lemma 39 and the trivial bound the sum over those not satisfying (36) is which is good enough because . For that do satisfy (36) we apply Lemma 35. In combination we obtain the estimate
which gives the theorem because . ∎
2.5 Proof of Theorem 1
Here we combine the preceding subsections to prove Theorem 1.
Proof of Theorem 1.
Fix a sequence . The compact sets exhause almost all of as and . It therefore suffices by Lemma 9 and Lemma 12 to prove for every that (13) holds for almost every . Fix and write for . Let be as in Theorem 28. Taking small enough and in Theorem 19 and applying using both Corollary 26 and Theorem 28 gives such that
for all large enough. Since the right-hand side is summable we conclude from the Borel-Cantelli lemma that
as desired. ∎
Appendix A Equidistribution of the lengths of the primitive vectors in integer lattices by Daniel El-Baz and Bingrong Huang
For a real number , let be the largest integer less than or equal to , and let be its fractional part. Let be the usual Euclidean norm in . Let and .
Theorem 40.
For every , the sequence is uniformly distributed as .
Proof.
We want to estimate, for every , the following quantity:
We rewrite
Let . By the prime number theorem estimate for the primitive lattice point problem for a compact convex domain with smooth boundary (which our elliptic domain certainly is) [HN96, Equation 1.6], we have
Hence we obtain
This implies our claim. ∎
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