Effective equidistribution of the horocycle flow on geometrically finite hyperbolic surfaces
Samuel C. Edwards

TL;DR
This paper proves that non-closed horocycles distribute evenly over infinite-volume hyperbolic surfaces, providing effective rates of equidistribution in the unit tangent bundle.
Contribution
It establishes effective equidistribution results for non-closed horocycles on geometrically finite hyperbolic surfaces, extending previous work to infinite-volume cases.
Findings
Effective equidistribution rates are obtained.
Results apply to infinite-volume geometrically finite hyperbolic surfaces.
Advances understanding of horocycle dynamics in non-compact settings.
Abstract
We prove effective equidistribution of non-closed horocycles in the unit tangent bundle of infinite-volume geometrically finite hyperbolic surfaces.
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Effective equidistribution of the horocycle flow on geometrically finite hyperbolic surfaces
Samuel C. Edwards
Department of Mathematics, Yale University, New Haven 06511 CT, USA
Abstract.
We prove effective equidistribution of non-closed horocycles in the unit tangent bundle of infinite-volume geometrically finite hyperbolic surfaces.
1. Introduction
1.1. Background
Let be a geometrically finite hyperbolic surface. may thus be realized as a quotient , where is the hyperbolic upper half-space equipped with the standard Riemannian metric on which acts by orientation-preserving isometries in the form of Möbius transformations, and is a finitely generated torsion-free discrete subgroup of . The unit tangent bundle of may be identified with the homogeneous space . The group acts naturally on by right translation, that is
[TABLE]
The goal of this article is to provide quantitative information about ergodic averages of orbits (with respect to the above group action) of the horospherical subgroup on in the case that has infinite volume.
A hyperbolic surface as above is said to have finite volume if any (and hence every) fundamental domain for satisfies , where is the -invariant Borel measure on given by . If every fundamental domain has infinite -measure, then is said to be of infinite volume. If has finite volume then is said to be a lattice.
The classification of -invariant ergodic Radon measures on when is a lattice (and subsequent generalizations to orbits of unipotent subgroups in finite-volume quotients of semisimple Lie groups) has a long history going back to Furstenberg [17], Veech [48], Dani [10, 11] (amongst others), and culminating in the famous results of Ratner [33].
Dani and Smillie [12, 13] were the first to prove equidistribution of -orbits for general lattices in : they proved that
[TABLE]
where either is the unique -invariant Borel probability measure on , or a periodic point for the -action and is the Lebesgue measure on normalized so as to be a probability measure. In more recent years, there has been interest in quantifying the convergence in (1), i.e. bounding by some explicit function depending on , (and ) that decays as . Burger [8] proved effective equidistribution of horocycles in compact quotients . More generally, one may use Margulis’ thickening trick and exponential mixing of the geodesic flow, cf. e.g. Kleinbock and Margulis [19, Proposition 2.4.8] to prove a similar result for the action of horospherical subgroup acting on a compact quotient of a semisimple Lie group. For non-compact (still with and a lattice), effective equidistribution of horocycles was proved by Flaminio and Forni [16], and Strömbergsson [44]. See also Sarnak and Ubis [35] for an alternative proof for . Even more recently, McAdam [24] proved effective equidistribution of horospherical orbits on quotients for .
For infinite-volume the situation is more complicated. In [8], Burger suggested that any -invariant ergodic Radon measure is either a multiple of the natural Lebesgue measure on a closed -orbit, or is a multiple of an explicit -invariant Radon measure on constructed using the Patterson measure on the limit set of . Furthermore, for convex-cocompact with critical exponent greater than one half, it is proved in [8] that this is indeed the case. Roblin [34] subsequently generalized Burger’s construction to general CAT(-1) spaces, and associated it with mixing properties of the geodesic flow on these spaces. Further work by Winter [49] (building on Roblin’s results) confirmed that in the general setting of a rank one simple linear Lie group, every invariant ergodic Radon measure for a horospherical subgroup is indeed either the natural projection of the Haar measure on onto a closed -orbit, or is given by the constructions of Burger and Roblin (or scalar multiples of these). This construction is now called the Burger-Roblin measure.
Returning to the case of geometrically finite hyperbolic surfaces, we now recount what is known regarding the equidistribution of horocycles in . In addition to the classification of -invariant Radon measures on for convex cocompact with critical exponent greater than one half, Burger also proved [8, Corollary of Theorem 1]: an equidistribution result in the form of a ratios ergodic theorem of Cesàro averages of two-sided integrals along -orbits for all points in whose -orbit is not closed. Schapira [36, 37, 38] generalized and strengthened Burger’s results: she proved ratio ergodic theorems for one and two-sided averages along all non-closed horocycles in the unit tangent bundle of a geometrically finite surface of pinched negative curvature. We recall that in infinite-volume ergodic theory, ratios ergodic theorems are perhaps the most natural to consider. This is related to the fact that one cannot normalize the integrals or uniformly over almost all (with respect to the natural -invariant measure on induced by the Haar measure on ) so that the integrals converge towards , cf. [1, 2].
Nevertheless, if one allows the normalizing factor to depend on the starting point, one can obtain “classical” equidistribution statements for all starting points on non-closed horocycles. It turns out that the correct normalizing factor is the so-called Patterson-Sullivan measure on the horocycle orbit. Maucourant and Schapira [23] proved this type of equidistribution for two-sided averages along all non-closed horocycles. In [28], Mohammadi and Oh proved a generalization of this to non-closed horospheres in geometrically finite quotients of for all . Our main results, Theorems 1 and 2, strengthen the equidistribution result of [23] further; we make it effective, that is to say: we give a quantitative bound on the difference between a normalized integral of a test function along a non-closed horocycle and the Burger-Roblin measure of the function that decays as one lets the piece of the horocycle grow in a symmetric manner.
1.2. The limit set and critical exponent
Before stating our results, we first recall some important aspects of dynamics on infinite volume geometrically finite hyperbolic surfaces. We refer the reader to [39] for a more thorough exposition and further references for this material.
We start by recalling the definitions of the limit set and critical exponent of . Let denote the geometric boundary of ; i.e. . The action of has a unique continuous extension to given by
[TABLE]
The limit set of is denoted . This is the closed, -invariant, subset of defined by
[TABLE]
The metric on induced from is denoted ; hence, given , . Using this, we define the critical exponent of by
[TABLE]
If consists of more than two points then it must in fact be an infinite set. We distinguish between these two cases by saying that is elementary if consists of at most two points, and non-elementary otherwise. It will be the non-elementary groups that will be of most interest to us.
Beardon [3], Patterson [32], and Sullivan [47] all studied connections between and for infinite volume , and their higher-dimensional generalisations. An important consequence of their work is that in this case, .
The points of the limit set may be classified further: consists of the parabolic fixed points and radial limit points of . A point is a parabolic fixed point (abbreviated pfp) if is conjugate to , and is a radial limit point if there exists a geodesic ray tending to , a sequence , and such that and for all . The set of pfps of is denoted by and the set of radial limit points is denoted . As such,
[TABLE]
where the union is disjoint. We observe that and are both -invariant.
Another subgroup of that will be of importance to us is
[TABLE]
This subgroup is closely related to geodesics in : given , the geodesic from tending to is given by , where is such that and .
We also use to define the forward and backwards visual points of , and , as follows:
[TABLE]
Let and denote the subsets of defined by
[TABLE]
Since and are both -invariant, we may define subsets of by
[TABLE]
The identity
[TABLE]
is of fundamental importance in the study of the dynamics of the -action on . In particular, observe that
[TABLE]
so the sets , , and are all -invariant. These sets in fact characterize the -orbits as follows:
- (1)
is -periodic, i.e., there exists such that . 2. (2)
is not -periodic and . 3. (3)
.
It is case (3) that we will be concerned with: the Burger-Roblin measure is supported on , and (as stated above) we intend to show the stronger statement that in this case, the -orbits become equidistributed in in a quantifiable manner.
We conclude this section by recalling the definition of the convex core of and convex cocompact . Let denote the convex hull of , that is: is the smallest (hyperbolic) convex subset of containing all geodesics with both endpoints in . Since is -invariant, is as well. This allows us to define a subset by
[TABLE]
Observe that if and are both in , then . Since is geometrically finite, may be written as the (disjoint) union of a compact set and at most a finite number of cuspidal regions. If has no cusps, then is said to be convex cocompact. Observe that is convex cocompact if and only if , which is equivalent to having no parabolic elements. Finally, we recall the following result of Beardon [3]: if is not convex cocompact, then .
1.3. Main results
In this section, we state the main results of this paper: Theorems 1 and 2. In order to do this we first introduce some more notation.
Firstly, we let denote the invariant height function on . The stringent definition of will be given in Section 2.1; for now we simply state some of its properties. Our interest in comes from the fact that for , measures “how far” into a cusp of the point lies. This is made more precise as follows: is continuous and -valued. For convex cocompact , we have for all . For non-convex cocompact , we use the hyperbolic metric on to define a metric on by
[TABLE]
We then have (cf. Proposition 3): if , then belongs to a cuspidal neighbourhood in , and there exist constants such that
[TABLE]
for all such that .
The invariant height function will be used to quantify the speed at which the -action moves elements of into the cusps. This quantity will in turn govern the rate of equidistribution of the horocycles. In connection with this, we need to introduce a norm that controls the growth of functions in the cusps of . For , define by
[TABLE]
We let denote the subspace of consisting of functions with finite -norm. Observe that If , then . In addition to the norm , we will also require Sobolev norms of functions on . Letting , we recall that we have the Iwasawa decompositions and . The decomposition may be used to decompose the Haar measure on as , where is the Haar probability measure on . We denote the natural projection of on by . Since has infinite volume, is an infinite measure. In Section 3.2 we define -Sobolev norms on functions on . The space of all functions on such that is denoted -this space essentially consists of all functions in with all Lie derivatives up to (and including) order also in .
Another quantity that affects the rate of convergence is the spectral gap. We briefly recall some aspects of the spectral theory of the Laplace-Beltrami operator on (the measure on being the natural projection of to ), due to Patterson [31, 32]. Firstly, the spectrum of in the interval consists of finitely many (discrete) eigenvalues, and denoting these by , , we have
[TABLE]
We define by
[TABLE]
Observe that . This will be important in Theorem 1.
Finally, we introduce notation for both three measures that appear in our equidistribution statements. Given a radial point , the Patterson-Sullivan measure on is denoted ; we give the precise definition of this in Section 4.2. Since , the map from to given by is injective, allowing us to also view as a measure on . This will be done throughout the article (often without comment). We let . Using the notation just introduced, we have
[TABLE]
The Burger-Roblin measure on is denoted . Again, we postpone the precise definition of until later, cf. Section 7.1. For now, we recall from Section 1.1 that is the unique (up to scaling) -invariant Radon measure on that is not supported on a closed horocycle. The last measure we need is the Bowen-Margulis-Sullivan, or -measure on . This measure is denoted We will actually not be required to carry out any calculations using the BMS-measure; it occurs solely as a normalizing factor in the main term of our equidistribution statements. The main fact we note about the BMS-measure on is that it is finite: .
We can now state our main theorem:
Theorem 1**.**
Assume is geometrically finite and . Let be compact and . Then for all , , and ,
[TABLE]
We make some remarks:
Remark 1*.*
The reason that this is an effective equidistribution statement for all radial starting points is that for all . This is due to the fact that if then the geodesic segment () returns infinitely often to some compact subset of (combined with Proposition 3 (2)). Theorem 1 thus shows that the speed of equidistribution of is governed by the cuspidal excursion rate of ; this is completely analogous to the situation for non-compact finite-volume quotients , cf. [44, Theorem 1]. We recall that excursion rates for geodesics are well-studied and related to approximation problems for -orbits. For finite-volume , one has Sullivan’s logarithm law [46] and Melián and Pestana’s computation of the Hausdorff dimension of the set of directions in around a given point of with cuspidal excursion rate greater than a given number [25]. In the case that has infinite volume, there exist corresponding results due to Stratmann and Velani [42] and Hill and Velani [18].
Remark 2*.*
The measure is a priori only defined on . However, (as will be seen in the proof of Theorem 1) it does have a (unique) extension as a distribution on to a linear functional on (cf. [22, Theorem 7.3]).
Remark 3*.*
An interesting feature of Theorem 1 is that it holds for quite general functions on . Most previous equidistribution results for infinite-volume require the test functions to be bounded or have compact support.
Remark 4*.*
The dependencies on the compact set come solely from a lower bound on , cf. Proposition 15 and Corollary 16.
A key part of the proof of Theorem 1 consists of calculating integrals of the base eigenfunction along pieces of horocycles. The base eigenfunction is in if and only if . This is the reason for the requirement in Theorem 1. We recall that for , is convex-cocompact. This allows us to use exponential mixing (we refer the reader to the beginning of Section 8 for a more thorough discussion of these matters) and Margulis’ thickening trick to also prove effective equidistribution of horocycles without the assumption . Before stating our result in this direction we introduce some more spaces of functions. For a compact subset , let denote the closure of
[TABLE]
with respect to .
Our effective equidistribution result for with reads
Theorem 2**.**
Let be non-elementary and convex cocompact. There exists such that for any compact subset and ,
[TABLE]
for all .
Remark 5*.*
As in Theorem 1, the behaviour of under the -action affects the error term in the equidistribution statement. Here, it is the dependency of the implied constant on the starting point that is determined by properties of the -orbit of . Since is convex cocompact, for every , the set is contained in a compact subset of . It is the maximal distance of this set to some fixed basepoint that determines the implied constant’s dependency on the starting point, i.e. given , the implied constant can be made uniform over all such that . In particular, the implied constant can be made uniform over the set .
1.4. Overview of article
The majority of the article (Sections 2-7) is devoted to the proof of Theorem 1. As mentioned above, to do this, we combine Strömbergsson’s effective equidistribution result [44, Theorem 1] with an effective equidistribution statement for the base eigenfunctions, Theorem 20. It is Theorem 20 that is the main technical result of the paper.
In Section 2, we define the invariant height function and state a collection of its properties that will be used throughout the rest of the article. Section 3 consists of a recollection of a series of facts regarding harmonic analysis on , in particular, the decomposition of into irreducible unitary representations, as well as a couple of Sobolev inequalities.
The proof of Theorem 20 consists of a series of calculations using the Patterson-Sullivan density. In Section 4 we recall the definition of conformal densities on and their properties. A key result here is Sullivan’s shadow lemma, which we use to bound the Patterson-Sullivan measures of certain sets in .
Having set up the necessary prerequisites, in Section 5 we state and prove Theorem 20. Strömbergsson’s effective equidistribution result is stated in Section 6, and combined with Theorem 20 in Section 7 to prove Theorem 1.
Section 8 is devoted to the proof of Theorem 2. We start by recalling results of Stoyanov [41] and Oh and Winter [30] on exponential mixing of the -action on . This is used to show effective equidistribution of expanding translates of pieces of horocycle orbits; the result we need is due to Mohammadi and Oh [27]. Theorem 2 is then proved by combining this result with Sullivan’s shadow lemma.
Acknowledgements
This research was funded by a scholarship from the Knut and Alice Wallenberg foundation. I would like to thank Hee Oh for asking me about this as well as for interesting and enlightening discussions, and Andreas Strömbergsson for some useful comments.
2. The Invariant Height Function
2.1. The invariant height function
Here we will define the invariant height function. Much of this section is similar to [15, Section 2], however since we deal only with the case , and [15] studies the general case , there are a number of simplifications. The primary reason for this is due to the fact that all cusps of have full rank, which is not necessarily the case in higher dimensions.
We start by recalling some properties regarding the action of on . For , define the horoball of diameter based at , , by
[TABLE]
We also define horoballs at infinity by
[TABLE]
Observe that if and , then for any , there exists such that .
Horoballs are important for studying the behaviour of functions in the cusps of . We will now define a function that captures the growth properties of functions in cusps in a succinct way. We follow [15, Section 2] and [44, Section 2]. Given a parabolic fixed point (henceforth abbreviated pfp) of , we define a subset by
[TABLE]
Note that given a pfp of , we have for all and (cf. [15, Lemma 2]). Another important property is that (for all pfps of and ). In particular, if is a pfp for , then for all , is also a pfp for , and . We now define the invariant height function: let be defined by
[TABLE]
and
[TABLE]
We will see shortly that is well-defined, i.e. the supremum in the definition is finite for every . Since is geometrically finite, the set of pfps for decomposes into a finite number of -orbits, cf. [6, Lemma 3.1.4], [7, Corollary 6.5]. Choosing a set of representatives for the -orbits, we may use the equality to express as
[TABLE]
Observe that is left -invariant; we may thus also view it as a function on . Furthermore, we may view it as a left -invariant and right -invariant function on by the formula
[TABLE]
The -invariance allows us to also view as a function on . Note that for all , , . We will abuse notation slightly and use to denote the function on any of , , , and .
Several important properties of are captured in the following proposition:
Proposition 3**.**
**
- (1)
* for all , .* 2. (2)
* for all , .* 3. (3)
* for all , .* 4. (4)
The set is a -invariant disjoint union of horoballs based at the pfps of . 5. (5)
There exist constants such that
[TABLE]
for all .
Proof.
These statements are all contained (either explicitly or implicitly) in [15, Section 2] and [44, Section 2] (cf. also [14, Lemma 5]). For completeness, we give exact references and supplementary arguments. For (1) and (2), see [44, (12), (13), and the subsequent paragraph, p. 298]. Item (3) follows from the fact that .
To prove (4), we choose two pfps of and let be defined by , where , . After possibly conjugating , we may assume that , , and . Writing , if , then
[TABLE]
Since , . Observe also that since , , hence , and thus
[TABLE]
We then have
[TABLE]
Consider now the subgroup defined by
[TABLE]
Now, since , . We now apply Shimizu’s lemma (cf. [40, Lemma 4], [26, Lemma 1.7.3]) to the discrete group : if , then . Since , , and hence , giving
[TABLE]
This shows that is in fact a disjoint union of horoballs. By (3), this is a -invariant set. Consequently, is well-defined: if , then from (2), , and if , then . Thus: .
To prove (5), we make use of the set of (-inequivalent) representatives for the set of all pfps. We assume that and . By (4), for some pfp and . Using the -invariance of and , we may assume that , . We then have
[TABLE]
Now, since , we can find such that
[TABLE]
with . This gives and so
[TABLE]
In the opposite direction, note that if , then (see the proof of (4)). This gives
[TABLE]
Since and ,
[TABLE]
This gives
[TABLE]
For , , hence
[TABLE]
In conclusion,
[TABLE]
∎
3. Decomposition of and Sobolev Inequalities
3.1. Unitary representations
Recall the notation from Section 1: ( is the Laplace-Beltrami operator acting on ) has finitely many eigenvalues in : , and we write with , (note thus that ).
We now recall the decomposition of the unitary representation into tempered and non-tempered parts; here denotes right translation, i.e. \big{(}\rho(g)f\big{)}(\Gamma h)=f(\Gamma hg) for all , , and . Letting , , and denote the following elements of the Lie algebra of :
[TABLE]
the Casimir element of may be expressed as . Identifying with the subspace of -invariant vectors, one observes that acts on as ; this allows one to combine the spectral theory of on with the classification of the unitary dual of to obtain the following:
Proposition 4**.**
(cf. [22, Theorem 3.1])
[TABLE]
where each is a complementary series representation which acts on the smooth vectors of by , and \big{(}\rho,L^{2}(\Gamma\backslash G)_{temp}\big{)} is tempered.
3.2. Sobolev inequalities
We start by recalling the definition of the Sobolev norms that we need. Fix a basis of , and for , define
[TABLE]
where the sum runs over all monomials in the of order not greater than (this includes the element of order zero). We let denote the closure (with respect to ) of the elements of with . Also, define .
Using an automorphic Sobolev inequality of Bernstein and Reznikov [4, Proposition B.2], we may use and Sobolev norms to express the following pointwise bound on functions in :
Lemma 5**.**
[TABLE]
Proof.
This is [15, Proposition 6]. Observe that “” in [15] is equal to “” (cf. (2)) here. ∎
For “smooth enough” functions in the subrepresentations , we have the following stronger pointwise bound:
Lemma 6**.**
Given and as in Proposition 4,
[TABLE]
Proof.
This is [44, Lemma 16]. Observe that the proof there essentially follows from “constant term” calculations in the cusps of . For and geometrically finite, the cusps have the same structure as for the cusps in the case is a lattice (that is to say: all cusps have full rank). This enables the proof given in [44] to be carried over without modification. ∎
4. Patterson-Sullivan Densities and Measures
Here we recall the definitions of the Patterson-Sullivan densities on and measures on -orbits in . Since we will require these construction for conjugations ) as well as for , we will be (perhaps overly) careful with expressing dependencies on .
4.1. Conformal densities
We start by recalling the definition of a conformal density. Let be a subgroup of . An -invariant conformal density of dimension is a collection of finite Borel measures on that satisfy
[TABLE]
We recall the (standard) notation used here: for a measure on and , the measure is defined via for suitable . Also, denotes the Busemann cocycle, i.e., for ,
[TABLE]
where is any geodesic ray in tending to .
There exists a unique up to scaling -invariant conformal density of dimension , called the Patterson-Sullivan density (cf. [32, 45]). Given , we may realize this conformal density as the collection , where each is defined via the weak limit
[TABLE]
(here denotes the unit mass at ). We recall that all the measures in the Patterson-Sullivan density are supported on and are non-atomic; we may thus also view it as a collection of measures on .
Since the Patterson-Sullivan density is unique up to scaling, there exists a function such that
[TABLE]
Note that it follows from (4) that for all , .
Lemma 7**.**
**
- i)
** 2. ii)
.
Proof.
Using the observation and (3), i) is proved as follows:
[TABLE]
For ii), note that from the definition that each is a probability measure, hence (again using and (3))
[TABLE]
so
[TABLE]
Now using the -invariance of , we have
[TABLE]
∎
Using (4) we obtain the following transformation rule:
Lemma 8**.**
For a geometrically finite group and , the Patterson-Sullivan densities of and satisfy
[TABLE]
4.2. Patterson-Sullivan measures on -orbits
For any , recall that the forward and backward visual maps, and , of are defined by
[TABLE]
Let , that is . The map from to given by
[TABLE]
is then injective . This allows us to “lift” measures in the Patterson-Sullivan density to a measure on by
[TABLE]
where . Since , we may view this as a measure on (or ) via
[TABLE]
The properties in (3) show that is well-defined, i.e. independent of the chosen representative of and basepoint . Furthermore, by [28, Lemma 2.4], is an infinite measure (on alt. ). Recall that .
Lemma 9**.**
[TABLE]
Proof.
Using the definition of , (3), (5), and Lemma 8 (as well as the fact that ):
[TABLE]
Since acts as an isometry on , for all , , . This, combined with the cocycle property of , gives
[TABLE]
and so (once again using the definition of )
[TABLE]
∎
Remark 6*.*
Observe that since , both sides of the equation in Lemma 9 are therefore independent of the representative chosen from . We will henceforth also view as a function on by defining . Note that Lemma 7 ii) then gives
[TABLE]
Lemma 9 will be used together with the following observation: if , then is radial, and
[TABLE]
We make one final observation regarding , which is proved using calculations similar to those in the proof of Lemma 9:
Lemma 10**.**
For all and measurable,
[TABLE]
where .
4.3. The Lebesgue density
In Sections 7.1 and 8 we will also require the Lebesgue density. This is a -invariant density of dimension one, and denoted . Each is non-atomic, again allowing us to view them as measures on . Defining a measure on by
[TABLE]
we obtain that for all , ,
[TABLE]
The measure must therefore be a scalar multiple of the Lebesgue measure. This allows us to therefore assume that the density has been scaled so that .
4.4. The shadow lemma
We will use a version of Sullivan’s Shadow Lemma to obtain (both upper and lower) bounds for the -measures of certain subsets of . We start by recalling the definition of the base eigenfunction , cf. [32, 45]. This is a -invariant function in (cf. Proposition 4), and is given by the formula
[TABLE]
where the constant is chosen so that . Observe that for all . Since , by Lemma 6,
[TABLE]
(recall that ).
For and , let denote the open (hyperbolic) ball of radius around . Given another point , we let denote the shadow of seen from ; this is the set of points with the property that the geodesic segment from to intersects . Observe that since acts by isometry on , .
We have the following result, due to Sullivan, cf. [47, Section 7]:
Lemma 11**.**
For all , ,
[TABLE]
Proof.
Using (7), (3), and writing , we have
[TABLE]
Now, for all ,
[TABLE]
hence
[TABLE]
By (8), we then have
[TABLE]
∎
The following is a more or less straightforward consequence of Lemmas 8 and 11:
Lemma 12**.**
[TABLE]
Proof.
Observe that . By Lemmas 8 and 11, we have
[TABLE]
The proof is completed by noting that . ∎
The following proposition gives a bound on the -measures of certain subsets of :
Lemma 13**.**
[TABLE]
for all , , .
Proof.
We prove the bound for the interval ; the negative interval is dealt with in a completely symmetric manner. Given such that
[TABLE]
by Lemmas 8 and 11, we then have
[TABLE]
By (1) and (2) of Proposition 3, \mathcal{Y}_{\Gamma}\big{(}\Gamma ga_{T}n_{1}a_{\epsilon}\big{)}^{1-\delta_{\Gamma}}\ll\epsilon^{\delta_{\Gamma}-1}\mathcal{Y}_{\Gamma}(\Gamma ga_{T})^{1-\delta_{\Gamma}}. Furthermore,
[TABLE]
We thus have
[TABLE]
In order to complete the proof, we need to find an satisfying (9). Observe that is a Euclidean ball centred at with radius . The points on the geodesic rays from to are given by
[TABLE]
respectively. If have non-empty intersections with , then is contained in , i.e. if the following two inequalities are satisfied:
[TABLE]
These inequalities are fulfilled if
[TABLE]
so taking suffices for all relevant and . ∎
Since we normalize the integral over in Theorem 1 by , we will require a lower bound on .
We first introduce some more notation: for and , let be the point on the geodesic segment from tending to at distance from . Let denote the set of points whose orthogonal projection onto the geodesic from to lie between and . Observe that since , we have and for all and .
Theorem 14**.**
(cf. [42, Theorem 2], [36, Theorem 3.2]) There exist such that
[TABLE]
Remark 7*.*
Here we have simply used Proposition 3 (5) to simply express the results from [36, 42] using the invariant height function.
Proposition 15**.**
There exist continuous functions such that
[TABLE]
for all and .
Proof.
Using Lemma 9, we have
[TABLE]
Now, , so
[TABLE]
We now choose some (depending on and later to be specified further), and note that by (6)
[TABLE]
Let . Then by Lemma 8, for any , we have
[TABLE]
Assuming
[TABLE]
(i.e. ), we let
[TABLE]
We then have
[TABLE]
Observe now that . Furthermore, (for all ), hence
[TABLE]
Returning to (11), we now have
[TABLE]
and so Lemma 7 gives
[TABLE]
Keeping the notation , we assume that satisfies the conditions placed on the variable in (12). Note that then also fulfils these assumptions. Combining (13), (11), and (10), we have
[TABLE]
where
[TABLE]
Now let be the constants from Theorem 14. Using both the upper and lower bounds from the same theorem, we obtain
[TABLE]
Since , , and so
[TABLE]
By Proposition 3 (1) and (2), for all ,
[TABLE]
In particular,
[TABLE]
and
[TABLE]
Using these bounds in (14), we have
[TABLE]
where “” equals
[TABLE]
Since and both satisfy (12), we have
[TABLE]
and hence
[TABLE]
Entering these bounds into (4.4) yields
[TABLE]
Since , there exists such that
[TABLE]
so choosing gives
[TABLE]
Observe that , hence
[TABLE]
giving
[TABLE]
This bound is proved under the assumption (cf. 12), i.e.
[TABLE]
∎
Corollary 16**.**
Let be compact. Then
[TABLE]
5. Effective Equidistribution of the Base Eigenfunctions
We will now prove the effective equidistribution of the base eigenfunctions (. Recall that each is a unit vector in of -type . As a starting point, we will use expressions for the in terms of integrals against a measure in the Patterson-Sullivan density. The explicit formulas we need have been developed by Lee and Oh in [22, Section 3]. For , let .
Proposition 17**.**
([22, Theorem 3.3])
[TABLE]
for all .
Remark 8*.*
The constant (cf. (7)) does not appear in the formula given in [22]. This is due to the fact that we require to be a probability measure, wheras this is not the case in [22]. We thus obtain that “” in [22] equals our .
Corollary 18**.**
[TABLE]
for all , .
Proof.
For all , using (5) and Lemma 8, we have
[TABLE]
For , , so the formula holds for . Following the proof of [22, Theorem 3.3], the remaining cases follow from applying the raising and lowering operators to the function on . ∎
It follows from the formulas above that for all , .
Before stating the main result of this section, we make some auxiliary definitions: let
[TABLE]
[TABLE]
and
[TABLE]
Observe that and . Using the s and s, we define the following functional on :
[TABLE]
We also have the following basic fact that will be used without comment throughout the proof of the main result of this section:
Lemma 19**.**
[TABLE]
and
[TABLE]
Both implied constants are independent of .
We now come to the main result of this section, which is essentially an effective equidistribution statement for the base eigenfunctions:
Theorem 20**.**
For all ,
[TABLE]
Proof.
Using Corollary 18, Lemma 9, and (6), we have
[TABLE]
(note that and is a finite measure; this permits the interchanging of the order of integration). We now choose some , , and split the integral over as follows
[TABLE]
We bound each of these four integrals in turn:
- I:
. Since , the integral we are interested in is
[TABLE]
Using ,
[TABLE]
hence
[TABLE]
where Lemma 9 and (6) were again used. 2. II:
. Here we use the bound
[TABLE]
Assuming , we now use Proposition 13:
[TABLE] 3. III:
. For in this range we have
[TABLE]
Lemma 12 gives
[TABLE] 4. IV:
. For the final integral, we use dyadic decomposition:
[TABLE]
For such that , , we have
[TABLE]
so
[TABLE]
We use Lemma 12 again to obtain
[TABLE]
Combining (18), (19), (20), and (21) gives
[TABLE]
Now choosing completes the proof (this is permitted since , and the only requirement placed on is ). ∎
Corollary 21**.**
Let be compact. Then
[TABLE]
for all , , .
Proof.
Divide both sides of (17) by and apply Corollary 16. ∎
6. Effective Equidistribution in the Orthogonal Complement of
Let denote the orthogonal complement in of , i.e.
[TABLE]
(cf. Proposition 4).
6.1. Effective equidistribution
Strömbergsson’s proof of [44, Theorem 1] carries over to our setting of infinite covolume geometrically finite , giving the following effective equidistribution result for functions in :
Theorem 22**.**
For all , , ,
[TABLE]
Discussion of Proof*.*
It is assumed throughout [44] that is a lattice. However, by following the proofs of [44, Proposition 3.1 and Theorem 1], one obtains the statement above. (The only place in the aforementioned proofs where the fact that has finite volume is used is [44, bottom of p. 304]. We do not claim (or require) as precise a statement as [44, Theorem 1]-in particular, we do not distinguish between the cuspidal and non-cuspidal parts of the tempered spectrum. One may thus replace the arguments of [44] regarding the tempered cuspidal spectrum on [44, pp. 304-305] with the treatment of the continuous spectrum given on [44, pp. 302-303].) Indeed, the results of [44] are based on a representation-theoretic method first developed by Burger in [8] in order to classify the -invariant ergodic Radon measures on for convex-cocompact (possibly of infinite covolume) with . In [44], Strömbergsson combined this method with properties of the invariant height function to show the effective equidistribution of dense horocycles in any finite-volume . As noted previously, due to the fact that the cusps of geometrically finite hyperbolic surfaces with infinite volume have the same structure as those of finite volume surfaces, their invariant height functions share essentially the same properties, allowing the same treatment to work here.
The following follows from Theorem 22 (and Corollary 16) in the same way that Corollary 21 follows from Theorem 20:
Corollary 23**.**
Let be compact. Then for all , , , and ,
[TABLE]
7. Proof of Theorem 1
Before proving our main result, Theorem 1, we first recall the definition of the Burger-Roblin measure associated to on , denoted (and referred to as the BR-measure for short).
7.1. The Burger-Roblin measure
Using the Iwasawa decomposition , we define a left -invariant (cf. (3)) and right -invariant measure on by
[TABLE]
We may also express this in terms of the Patterson-Sullivan and Lebesgue densities as follows: firstly, observe that the map
[TABLE]
is a bijection from to . We may then write the BR-measure as
[TABLE]
where . In a similar manner, we define the so-called -measure on by
[TABLE]
where . Observe that is right -invariant, where is the subgroup of defined by
[TABLE]
The surjective map given by allows us to then define the measure on by
[TABLE]
(the left -invariance of ensures that is well-defined). The measure is defined in a completely analogous way. Note that both and are infinite measures on .
Proof of Theorem 1
Without loss of generality, we may assume that . We now write as the orthogonal sum , where and . By Lemma 6, , hence . This allows us to apply Corollary 23 to , which, after noting that and , gives
[TABLE]
To complete the proof, it now suffices to prove that
[TABLE]
We observe that . Using Proposition 3 (1), Lemma 6, and the bound , we have
[TABLE]
This permits us to write , and so Corollary 21 gives
[TABLE]
(cf. (16)).
Now, (22) and (23) show that . However, [28, Theorem 1.5] or [23, Theorem 1.1] gives for all (note that both and are scaled with a factor compared with those of [28]-this enables us to use the cited result). Observing that , we obtain the claimed extension of .
∎
Remark 9*.*
Since , we obtain the following identity for the BR-measure:
[TABLE]
A similar identity is obtained in [22, Theorem 7.3]. At a first glance, our formula appears to be different from that given in [22]; the identities do not appear to give the same value even up to scaling. A closer inspection reveals that this is due to a small typo in [22]: in the case , the formula given in [22, Theorem 4.6] should read
[TABLE]
After making a subsequent correction to [22, (6.1), p. 610], it is straightforward to verify that (24) agrees with [22, Theorem 7.3] (at least up to scaling).
8. Convex-Cocompact
We will now restrict our attention to convex cocompact and demonstrate how one can deduce effective equidistribution of non-closed horocycles from the exponential mixing of the diagonal action with respect to the Bowen-Margulis-Sullivan measure (abbreviated as the BMS-measure) without the assumption that . As such, throughout this section is non-elementary and convex cocompact. As previously noted, if then is necessarily convex cocompact.
8.1. Exponential mixing
The key result which we need is exponential mixing of the diagonal subgroup of . This was first obtained by Stoyanov with respect to the BMS-measure for convex cocompact [41]. In [30, Section 5.2], Oh and Winter show how to obtain an exponential mixing statement for the Haar measure from that for the BMS-measure. It is this result that will be the main ingredient in the proof of Theorem 2.
Before giving the precise statement, we recall some of the terminology introduced in Section 1: for , we let denote the closure of with respect to the norm . Similarly, we let denote the standard -Sobolev norm of order on , and for an interval , we let denote the closure of with respect to .
Combining [41, Corollary 1.5] with [30, Theorem 5.8] gives
Theorem 24**.**
There exists such that for any compact subset ,
[TABLE]
for all , .
Remark 10*.*
Observe that in [30, Theorem 5.8]. Using the -invariance of and the fact that our definitions of and are interchanged compared with those in [30], we obtain the main term stated here. To obtain our error term from that of [30, Theorem 5.8], we simply use the Sobolev inequality (cf. Lemma 5).
8.2. Effective equidistribution of expanding translates
Since is convex cocompact, there is a uniform lower bound on the injectivity radius at each point of . This allows us to deduce the effective equidistribution of non-closed horocycles from the effective equidistribution of expanding translates of compact pieces of horospherical orbits. This result in turn follows from the exponential mixing of the diagonal subgroup via the classical “Margulis thickening trick” see e.g. Kleinbock and Margulis [19, Proposition 2.4.8] for the proof in the general finite-volume setting.
For infinite volume , the result we require is due to Mohammadi and Oh [27, Theorem 5.13]. The main complication compared with the finite volume setting is that the Lebesgue and Haar measures can (in general) give much greater mass to subsets than those given by the PS- and BR-measures. One must thus avoid bounding any approximations of functions until after making use of the exponential mixing from Theorem 24. Since there are slight variations in our notation and setting compared with [27] (as well as the fact that we will also require similar estimates in the proof of Theorem 2), we closely follow [27, Section 5] and reproduce the key steps of their proof. We refer the reader to [27, Section 5] for more details.
We start by recalling the Bruhat decomposition of : is an open neighbourhood of the identity in and (cf. [20, Proposition 8.45]). This allows us to make the following decomposition of the -measure (cf. [27, (5.3), p. 868]):
Lemma 25**.**
Let , , be open neighbourhoods of the identity (in the respective subgroups) and let . Then for any with ,
[TABLE]
Proof.
Using the definition from Section 7.1:
[TABLE]
where . Writing , we observe that
[TABLE]
This gives , and so
[TABLE]
∎
Let denote the Riemannian metric on induced from the Killing form on and to denote the open ball of radius around the identity in . The corresponding norm on is denoted by . We now choose small enough so that the exponential map is surjective onto and for each , the map from to given by is injective.
Lemma 26**.**
[TABLE]
Proof.
Given in such a , there exists such that and . We then have
[TABLE]
∎
We also let be small enough so that
[TABLE]
Theorem 27**.**
There exists such that for any compact subset ,
[TABLE]
for all , and non-negative , \phi\in C_{c}^{\infty}\big{(}(-\epsilon_{\Gamma},\epsilon_{\Gamma})\big{)}.
Remark 11*.*
We have previously only defined the measures for radial points . While we will only need Theorem 27 for the radial points, we note that since is convex-cocompact, the map from to given by is injective for all ; the definition given in Section 4.2 therefore still works for all . It is in the case that is not convex-cocompact that more care is required in the definition; this is due to the presence of periodic horocycles around the cusps of , cf. [28, Section 2].
Proof.
We start by defining, for , functions and by
[TABLE]
Observe that and by Lemma 26, .
By [19, Lemma 2.4.7], given , there exists such that:
[TABLE]
We now define a function by
[TABLE]
Observe that is well-defined is due to the uniqueness of the decomposition, and that (which is less than the injectivity radius of ); is thus supported on . Using this definition, we have
[TABLE]
Since and , , hence
[TABLE]
Now, ; we may thus bound the integral we are concerned with as follows:
[TABLE]
By Theorem 24:
[TABLE]
We have (cf. [27, (5.8), p. 868]). Also, again appealing to [19, Lemma 2.4.7] gives the bound , hence
[TABLE]
Since is locally finite, Lemma 26 gives
[TABLE]
We now use Lemma 24 to compute :
[TABLE]
For , , so , hence
[TABLE]
This, together with (26), gives
[TABLE]
Combining this expression with (25) yields
[TABLE]
Since is bounded from above and below by the integrals in the right-hand side of this expression, the same must hold for it. Choosing then completes the proof, with . ∎
8.3. The shadow lemma
The final step before proceeding with the proof of Theorem 2 involves adapting the results of Section 4.4 to the case . For , the integral in (7) still defines an eigenfunction of on with eigenvalue (cf. [31, 32]), however it is no longer in ; we thus define
[TABLE]
(i.e. we remove the constant from the definition given in (7) since it is not well-defined for ). We note, however, that is bounded:
Lemma 28**.**
Let be convex cocompact. Then .
In fact, decays outside the convex core of , cf. [9, Proposition 4.2], though for not fast enough so that .
Since , the results of Section 4.4 all hold even without the assumption . Moreover, simplifications occur due to the fact that we no longer have to take into account. Lemmas 11, 12, and 13 in the convex cocompact setting read as follows:
Lemma 29**.**
For all , ,
[TABLE]
Lemma 30**.**
[TABLE]
Lemma 31**.**
[TABLE]
for all , , .
Noting that Theorem 14 also holds for convex cocompact without the assumption , cf., e.g.., [29, Theorem 4.6.2]. Proposition 15 thus also holds, as well as Corollary 16, which in the current setting reads as
Corollary 32**.**
Let be compact. Then
[TABLE]
8.4. Proof of Theorem 2
We start by assuming that is -valued. For , we have
[TABLE]
By [19, Lemma 2.4.7], given , there exists \psi_{\epsilon}\in C_{c}^{\infty}\big{(}(-\epsilon,\epsilon)\big{)} such that:
[TABLE]
For ( being as in Section 8.2), let , i.e.
[TABLE]
Observe that and
[TABLE]
for all . Note also that
[TABLE]
so . This choice of and the fact that for all gives
[TABLE]
and
[TABLE]
Define . Since and is convex cocompact, is compact. Assuming then allows us to apply Theorem 27: for ,
[TABLE]
We now observe that
[TABLE]
and so Lemma 10 gives
[TABLE]
Since our choices of are and , in both cases we have
[TABLE]
Assuming , by the definition of and Lemma 31, we have
[TABLE]
This gives
[TABLE]
Since \int_{-T}^{T}\!f\big{(}\Gamma gn_{t})\,dt is bounded from above and below by the integrals in the right-hand side of this expression (cf. (28) and (29)), the same must hold for it. Dividing by and using the bounds and then yields
[TABLE]
Choosing gives
[TABLE]
where . Theorem 2 is thus proved for non-negative functions.
In order to generalize to all functions in , we first that note that if , then , , and and , so by considering the real and imaginary parts it suffices to to extend (30) to -valued .
By Lemma 26, there exists such that if , then . Using this, we assume now that is -valued, and for , define sets by
[TABLE]
We now turn again to [19, Proposition 2.4.7]: for all there exists such that
[TABLE]
where denotes the -th order -Sobolev norm on (defined analogously to ). Define functions on by
[TABLE]
This definition gives and . Note also that
[TABLE]
We now use (30):
[TABLE]
[TABLE]
The terms in the “” are dealt with individually:
[TABLE]
[TABLE]
To bound \frac{1}{\mu_{\Gamma gN}^{\mathrm{PS}}(B_{T})}\int_{-T}^{T}\left|\big{[}\mathbbm{1}_{\Omega}-\varphi_{f,\epsilon}^{+}-\varphi_{f,\epsilon}^{-}\big{]}(\Gamma gn_{t})f(\Gamma gn_{t})\right|\,dt, we note that
[TABLE]
Now, , , and . We apply (30) again:
[TABLE]
In total, we have
[TABLE]
Letting completes the proof, with .
∎
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