Mixing and decorrelation in infinite measure: the case of the periodic sinai billiard
Fran\c{c}oise P\`ene (LM)

TL;DR
This paper studies the mixing rates of observables in infinite measure dynamical systems, specifically focusing on the Z2-periodic Sinai billiard, and provides detailed asymptotic expansions depending on the horizon type.
Contribution
It offers new results on mixing rates for the Sinai billiard, including first order mixing in infinite horizon and asymptotic expansions in finite horizon cases.
Findings
Established first order mixing for infinite horizon Sinai billiard.
Derived asymptotic expansions of all orders for finite horizon case.
Analyzed the impact of horizon type on mixing rates.
Abstract
We investigate the question of the rate of mixing for observables of a Z d-extension of a probability preserving dynamical system with good spectral properties. We state general mixing results, including expansions of every order. The main part of this article is devoted to the study of mixing rate for smooth observables of the Z 2-periodic Sinai billiard, with different kinds of results depending on whether the horizon is finite or infinite. We establish a first order mixing result when the horizon is infinite. In the finite horizon case, we establish an asymptotic expansion of every order, enabling the study of the mixing rate even for observables with null integrals.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Mixing and decorrelation in infinite measure: the case of the periodic Sinai billiard
Françoise Pène
-
Université de Brest, Laboratoire de Mathématiques de Bretagne Atlantique, CNRS UMR 6205, France
-
Institut Universitaire de France
-
Université de Bretagne Loire
Abstract.
We investigate the question of the rate of mixing for observables of a -extension of a probability preserving dynamical system with good spectral properties. We state general mixing results, including expansions of every order. The main part of this article is devoted to the study of mixing rate for smooth observables of the -periodic Sinai billiard, with different kinds of results depending on whether the horizon is finite or infinite. We establish a first order mixing result when the horizon is infinite. In the finite horizon case, we establish an asymptotic expansion of every order, enabling the study of the mixing rate even for observables with null integrals.
Key words and phrases:
Sinai, billiard, Lorentz process, Young tower, local limit theorem, decorrelation, mixing, infinite measure
2000 Mathematics Subject Classification:
Primary: 37A25
Introduction
Let be a dynamical system, that is a measure space endowed with a measurable transformation which preserves the measure . The mixing properties deal with the asymptotic behaviour, as goes to infinity, of integrals of the following form
[TABLE]
for suitable observables .
Mixing properties of probability preserving dynamical systems have been studied by many authors. It is a way to measure how chaotic the dynamical system is. A probability preserving dynamical system is said to be mixing if converges to for every square integrable observables . When a probability preserving system is mixing, a natural question is to study the decorrelation rate, i.e. the rate at which converges to zero when or have null expectation. This crucial question is often a first step before proving probabilistic limit theorems (such as central limit theorem and its variants). The study of this question has a long history. Such decays of covariance have been studied for wide classes of smooth observables and for many probability preserving dynamical systems. In the case of the Sinai billiard, such results and further properties have been established in [26, 3, 4, 1, 2, 30, 6, 27, 28].
We are interested here in the study of mixing properties when the invariant measure is -finite. In this context, as noticed in [13], there is no satisfactory notion of mixing. Nevertheless the question of the rate of mixing for smooth observables is natural. A first step in this direction is to establish results of the following form:
[TABLE]
Such results have been proved in [29, 15, 10, 5, 14] for a wide class of models and for smooth functions , using induction on a finite measure subset of .
An alternative approach, specific to the case of -extensions of probability preserving dynamical system, has been pointed out in [21]. The idea therein is that, in this particular context, (1) is related to a precised local limit theorem. In the particular case of the -periodic Sinai billiard with finite horizon, it has been proved in [21] that
[TABLE]
for some explicit constant , for some dynamically Lipschitz functions, including functions with full support in .
This paper is motivated by the question of high order expansion of mixing and by the study of the mixing rate for observables with null integrals. This last question can be seen as decorrelation rate in the infinite measure. Let us mention the fact that it has been proved in [23], for the billiard in finite horizon, that sums are well defined for some observables with null expectation. In the present paper, we use the approach of [21] to establish, in the context of the -periodic Sinai billiard with finite horizon, a high order mixing result of the following form:
[TABLE]
This estimate enables the study of the rate of convergence of to and, most importantly, it enables the study of the rate of decay of for functions or with integral 0. In general, if or have zero integral we have
[TABLE]
but it may happen that
[TABLE]
and even that . For example, (2.6) gives immediately that, if , then
[TABLE]
and
[TABLE]
General formulas for the dominating term will be given in Theorem 4.5, Remark 4.6 and Corollary 4.7. In particular and will be precised.
We point out the fact that the method we use is rather general in the context of -extensions over dynamical systems with good spectral properties, and that, to our knowledge, these are the first results of this kind for dynamical systems preserving an infinite measure.
We establish moreover an estimate of the following form for smooth observables of the -periodic Sinai billiard with infinite horizon:
[TABLE]
The paper is organized as follows. In Section 1, we present the model of the -periodic Sinai billiard and we state our main results for this model (finite/infinite horizon). In Section 2, we state general mixing results for -extensions of probability preserving dynamical systems for which the Nagaev-Guivarc’h perturbation method can be implemented. In Section 3, we recall some facts on the towers constructed by Young for the Sinai billiards. In Section 4, we prove our main results for the billiard in finite horizon (see also Appendix A for the computation of the first coefficients). In Section 5, we prove our result for the billiard in infinite horizon.
1. Main results for -periodic Sinai billiards
Let us introduce the -periodic Sinai billiard .
Billiards systems modelise the behaviour of a point particle moving at unit speed in a domain and bouncing off with respect to the Descartes reflection law (incident angle=reflected angle). We assume here that , with and where are convex bounded open sets (the boundaries of which are -smooth and have non null curvature). We assume that the closures of the obstacles are pairwise disjoint. The billiard is said to have finite horizon if every line in meets . Otherwise it is said to have infinite horizon.
We consider the dynamical system corresponding to the dynamics at reflection times which is defined as follows. Let be the set of reflected vectors off , i.e.
[TABLE]
where stands for the unit normal vector to at directed inward . We decompose this set into , with
[TABLE]
The set is called the -cell. We define as the transformation mapping a reflected vector at a reflection time to the reflected vector at the next reflection time. We consider the measure absolutely continuous with respect to the Lebesgue measure on , with density proportional to and such that .
Because of the -periodicity of the model, there exists a transformation and a function such that
[TABLE]
This allows us to define a probability preserving dynamical (the Sinai billiard) by setting and . Note that (4) means that can be represented by the -extension of by . In particular, iterating (4) leads to
[TABLE]
if and with the notation
[TABLE]
The set of tangent reflected vectors given by
[TABLE]
plays a special role in the study of . Note that defines a -diffeomorphism from to .
Statistical properties of have been studied by many authors since the seminal article [26] by Sinai.
In the finite horizon case, limit theorems have been established in [4, 2, 30, 6], including the convergence in distribution of to a centered gaussian random variable with nondegenerate variance matrix given by:
[TABLE]
where we used the notation for the matrix , for . Moreover a local limit theorem for has been established in [27] and some of its refinements have been stated and used in [9, 19, 20, 22] with various applications. Recurrence and ergodicity of this model follow from [8, 24, 27, 25, 18].
In the infinite horizon case, a result of exponential decay of correlation has been proved in [6]. A nonstandard central limit theorem (with normalization in ) and a local limit theorem have been established in [28], ensuring recurrence and ergodicity of the infinite measure system . This result states in particular that converges in distribution to a centered gaussian distribution with variance given by
[TABLE]
where is the width of the corridor corresponding to .
Our main results provide mixing estimates for dynamically Lipschitz functions. Let us introduce this class of observables. Let . We consider the metric on given by
[TABLE]
where is a separation time defined as follows: is the maximum of the integers such that and lie in the same connected component of . For every , we write for the Lipschitz constant with respect to :
[TABLE]
We then set
[TABLE]
Before stating our main result, let us introduce some additional notations.
We will work with symmetric multilinear forms. For any and with complex entries ( and are identified respectively with a -multilinear form on and with a -multilinear form on ), we define as the element of (identified with a -multilinear form on ) such that
[TABLE]
For any and symmetric with complex entries with , we define as the element of (identified with a -multilinear form on ) such that
[TABLE]
We identify naturally vectors in with -linear functions and symmetric matrices with symmetric bilinear functions. For any -smooth function , we write for its -th differential, which is identified with a -linear function on . We write for the product . Observe that, with these notations, Taylor expansions of at [math] are simply written
[TABLE]
It is also worth noting that , for every corresponding to symmetric multilinear forms with respective ranks with .
We extend the definition of to by setting for every and every . For every and every , we write for the label in of the cell containing , i.e. is the label of the cell in which the particle is at the -th reflection time. It is worth noting that, for , we have and .
Now let us state our main results, the proofs of which are postponed to Section 4. We start by stating our result in the infinite horizon case, and then we will present sharper results in the finite horizon case.
1.1. -periodic Sinai billiard with infinite horizon
Theorem 1.1**.**
Let be the -periodic Sinai billiard with infinite horizon. Suppose that the set of corridor free flights spans . Let (with respect to ) be two dynamically Lipschitz continuous functions such that
[TABLE]
Then
[TABLE]
1.2. -periodic Sinai billiard with finite horizon
We first state our result providing an expansion of every order for the mixing (see Theorem 4.5 and Corollary 4.7 for more details).
Theorem 1.2**.**
Let be a positive integer. Let be two dynamically Lipschitz continuous observables such that
[TABLE]
then there exist such that
[TABLE]
We precise in the following theorem the expansion of order 2.
Theorem 1.3**.**
Let be two bounded observables such that
[TABLE]
Then
[TABLE]
with and
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
and
[TABLE]
Observe that we recover (3) since ,
[TABLE]
and
[TABLE]
where we used Proposition A.1.
Remark 1.4**.**
Note that
[TABLE]
[TABLE]
[TABLE]
[TABLE]
and
[TABLE]
Corollary 1.5**.**
Under the assumptions of Theorem 1.3, if and , then
[TABLE]
Two natural examples of zero integral functions are with or with . Note that
[TABLE]
with and that
[TABLE]
with , provided the sum appearing in the last formula is non null. As noticed in introduction, it may happen that (7) provides only . This is the case for example if and if has the form with and .
Hence it can be useful to go further in the asymptotic expansion, which is possible thanks to Theorem 4.5. A formula for the term of order when is stated in theorem 4.8 and gives the following estimate, showing that, for some observables, has order .
Proposition 1.6**.**
If and can be decomposed in and with and such that . Then
[TABLE]
with here
[TABLE]
2. General results for -extensions and key ideas
In this section we state general results in the general context of -extensions over dynamical systems satisfying good spectral properties. This section contains the rough ideas of the proofs for the billiard, without some complications due to the quotient tower. Moreover the generality of our assumptions makes our results implementable to a wide class of models with present and future developments of the Nagaev-Guivarch method of perturbation of transfer operators.
We consider a dynamical system given by the -extension of a probability preserving dynamical system by . This means that , where is the counting measure on and with
[TABLE]
so that
[TABLE]
with . Let be the transfer operator of , i.e. the dual operator of . Our method is based on the following key fomulas:
[TABLE]
and
[TABLE]
with . Note that (9) makes a link between mixing properties and the local limit theorem and that (10) shows the importance of the study of the family of perturbed operators in this study.
We will make the following general assumptions about .
Hypothesis 2.1** (Spectral hypotheses).**
There exist two complex Banach spaces and such that:
- •
* and ,*
- •
there exist constants , and and three functions and such that and and such that, in ,
[TABLE]
[TABLE]
Note that (11) ensures that
[TABLE]
We will make the following assumption on the expansion of at [math].
Hypothesis 2.2**.**
Let be a random variable with integrable characteristic function and with density function . Assume that there exists a sequence of invertible matrices such that and
[TABLE]
(where stands for the transpose matrix of ) and
[TABLE]
Note that, under Hypothesis 2.1 and if (14) holds true, then
[TABLE]
and so converges in distribution to . If has a stable distribution of index , i.e.
[TABLE]
where is a Borel measure on the unit sphere and if
[TABLE]
with slowly varying at infinity, then Hypothesis 2.2 holds true with with
But Hypothesis 2.2 allows also the study of situations with anisotropic scaling.
Before stating our first general result, let us introduce an additional notation. Under Hypothesis 2.1, for any function , we write .
Theorem 2.3**.**
Assume Hypotheses 2.1 and 2.2. Let be such that
[TABLE]
Then
[TABLE]
Proof.
For every positive integer and every , combining (10) with Hypothesis 2.1, the following equalities hold in :
[TABLE]
with due to the dominated convergence theorem applied to . Setting and and using (9), we obtain
[TABLE]
with . Now, due to the dominated convergence theorem and since is continuous and bounded,
[TABLE]
which ends the proof. ∎
We will reinforce Hypothesis 2.2. Notations , , stand for the -th derivatives of , and at 0.
Theorem 2.4**.**
Assume Hypothesis 2.1 with . Let be three integers such that , and
[TABLE]
Assume moreover that is -smooth and that there exists a positive symmetric matrix such that
[TABLE]
Assume that, for every , with , for every . Assume moreover that the functions and are -smooth. Let be such that
[TABLE]
Then
[TABLE]
If moreover , then
[TABLE]
where the sum is taken over the with non negative integers such that and .
Observe that
[TABLE]
where the sum is taken over , , (this implies that ). Hence is polynomial in with degree at most .
Remark 2.5**.**
Note that (17) holds true as soon as and in (20) can be replaced by .
Moreover (21) provides an expansion of the following form:
[TABLE]
Remark 2.6**.**
If is -smooth, using the fact , if the right hand side of (21) can be rewritten
[TABLE]
If moreover for every , then it can also be rewritten
[TABLE]
where we used (13).
Proof of Theorem 2.4.
We assume, up to a change of that Hypothesis 2.2 holds true. Due to (10) and to (13), in , we have
[TABLE]
due to the dominated convergence theorem since there exists such that . Recall that , so
[TABLE]
with and . Due to (17), we obtain
[TABLE]
This combined with (9) and (19) gives (20).
We assume from now on that . Recall that is polynomial in of degree at most . Hence, due to the dominated convergence theorem, we can replace in (20) by
[TABLE]
Hence we have proved (21). ∎
Now, we come back to the case of -periodic Sinai billiards, with the notations of Section 1.
3. Young towers for billiards
Recall that, in [30], Young constructed two dynamical systems and and two measurable functions and such that
[TABLE]
and such that, for every measurable constant on every stable manifold, there exists such that . We consider the partition on constructed by Young in [30] together with the separation time given, for every , by
[TABLE]
It will be worth noting that, for any , the sets and are contained in the same connected component of .
Let and set such that . Let and be suitably chosen and let us define
[TABLE]
Let . Young proved that the Banach space satisfies , that the transfer opertor on ( being defined on as the adjoint of the composition by on ) is quasicompact on . We assume without any loss of generality (up to an adaptation of the construction of the tower) that the dominating eigenvalue of on is and is simple.
Since is constant on the stable manifolds, there exists such that . We set . For any and , we set .
Proposition 3.1**.**
* is an even function.*
Proof.
Let be the map which sends to such that . Then . Hence, as the same distribution (with respect to ) as and so
[TABLE]
as goes to infinity, and so is even. ∎
Let be the partition of into its connected components. We also write .
Proposition 3.2**.**
Let be a nonnegative integer and let be respectively -measurable and -measurable functions.
Then there exists such that and .
Moreover, and for every , and
[TABLE]
and
[TABLE]
Proof.
Using several times and , we obtain
[TABLE]
since . Hence, we have proved (23) (since preserves ). ∎
4. Proofs of our main results in the finite horizon case
We assume throughout this section that the billiard has finite horizon.
The Nagaev-Guivarc’h method [16, 17, 11] has been applied in this context by Szász and Varjú [27] (see also [19]) to prove Hypotheses 2.1 and 2.2 hold for the Young Banach space. More precisely, we have the following.
Proposition 4.1** ([27, 19]).**
There exist a real and three functions , and defined on and with values in , and respectively such that
- (i)
*for every , *and , , ;
- (ii)
there exists such that, for every positive integer ,
[TABLE]
- (iii)
we have ;
- (iv)
there exists such that, for any , and .
Our first step consists in stating a high order expansion of the following quantity
[TABLE]
for and dynamically Lispchitz on . Let us recall that, due to (8), this result corresponds to a mixing result for observables supported on a single cell. We start by studying this quantity for some locally constant observables. This result is a refinement of [22, prop. 4.1] (see also [21, prop 3.1]. Let be the density function of , which is given by .
4.1. A first local limit theorem
We set . Note that the uneven derivatives of at 0 are null as well as its three first derivatives.
Proposition 4.2**.**
Let be a positive integer and a real number . There exists such that, for any , if are respectively -measurable and -measurable, then for any and
[TABLE]
with, for every ,
[TABLE]
[TABLE]
In particular, for , we obtain
[TABLE]
Remark 4.3**.**
Due to (25) and (26), (24) can be rewritten as follows:
[TABLE]
Proof of Proposition 4.2.
Since is -measurable and is -measurable, there exist such that and , with . As in the proof of [22, Prop. 4.1], we set
[TABLE]
Due to (23), we obtain
[TABLE]
Let . We will write for . Due to items (i) and (ii) of Proposition 4.1 and due to (22), it comes
[TABLE]
since and so that
[TABLE]
Observe that
[TABLE]
and so
[TABLE]
with . Indeed is a linear combination of terms of the form
[TABLE]
over nonnegative integers such that , and these terms are in in , uniformly in . Moreover, due to (29), to (23) and to Item (i) of Proposition 4.1, we obtain
[TABLE]
so that
[TABLE]
Recall that . Since the three first derivatives of and coincide, we have and
[TABLE]
Due to the analogue of (30) with replaced by , we obtain
[TABLE]
Note that
[TABLE]
Hence we have proved that
[TABLE]
and so (24) using (32) and the fact that the uneven derivatives of at 0 are null. ∎
4.2. Generalization
Proposition 4.4**.**
Let be a positive integer. Let . There exists such that, for every dynamically Lipschitz continuous functions, with respect to with and for every
[TABLE]
with such that
[TABLE]
and .
Proof.
For every positive integer , we define
[TABLE]
Note that
[TABLE]
and
[TABLE]
Now we take . Note that, for large enough, . We set
[TABLE]
Note that, for every integers ,
[TABLE]
For every integers such that , we have
[TABLE]
due to (25). Hence, we conclude that is a Cauchy sequence so that is well defined and that
[TABLE]
Since Applying Proposition 4.2 to the couple leads to (33). ∎
4.3. Proofs of our main results
Theorem 4.5**.**
Let be two bounded observables such that
[TABLE]
Then
[TABLE]
with and and with given by (34).
If moreover, , then
[TABLE]
with
[TABLE]
Since , we conclude that:
Remark 4.6**.**
Assume and . Then
[TABLE]
and .
Corollary 4.7**.**
Under the assumptions of Theorem 4.5 ensuring (36), using the fact that , as in Remarks 2.6 and 4.3, if , the right hand side of (36) can be rewritten
[TABLE]
Proof of Theorem 4.5.
We have
[TABLE]
Hence, (35) follows directly from Proposition 4.4. Due to the dominated convergence theorem,
[TABLE]
(where we used (26)) and to the fact that the uneven derivatives of are null and that . Therefore
[TABLE]
which ends the proof of (36). ∎
Proof of Theorem 1.2.
This comes from (36) combined with the fact that is a polynomial in of degree bounded by . ∎
Proof of Theorem 1.3.
Due to (36) of Theorem 4.5, we obtain (7) with
[TABLE]
where corresponds to the contribution of the -term in the sum of the right hand side of (36). Moreover, due to Proposition A.2,
[TABLE]
[TABLE]
[TABLE]
For the contribution of the term with , note that
[TABLE]
Moreover, due to Proposition A.3,
[TABLE]
Note that
[TABLE]
[TABLE]
and
[TABLE]
Hence we have proved (7) with
[TABLE]
with
[TABLE]
[TABLE]
∎
Remark 4.8**.**
Let be two bounded observables such that
[TABLE]
Assume moreover that and that . Due to Remark 4.6,
[TABLE]
where and .
Proof of Proposition 1.6.
We apply Remark 4.8. Using the definitions of and , we observe that
[TABLE]
(since ) and
[TABLE]
Moreover
[TABLE]
since . Therefore
[TABLE]
∎
5. Proof of the mixing result in the infinite horizon case
Proof of Theorem 1.1.
In [28], Szász and Varjú implemented the Nagaev-Guivarc’h perturbation method via the Keller-Liverani theorem [12] to prove that Hypothesis 2.1 holds true for the dynamical system with the Young Banach space , with and with having the following expansion:
[TABLE]
Hence Hypothesis 2.2 holds also true, with and with a gaussian random variable with distribution with density function . Let . Let and correspond to the conditional expectation of respectively and over the connected component of containing . First note that
[TABLE]
As noticed in Proposition 3.2, there exist such that
[TABLE]
[TABLE]
with the notation for every . For large enough, and, due to (23),
[TABLE]
where are the functions defined by
[TABLE]
[TABLE]
Moreover . Hence, due to Hypothesis 2.1,
[TABLE]
where we used the change of variable with , and twice the dominated convergence theorem. Therefore
[TABLE]
The conclusion of the theorem follows from this last formula combined with (38) and with the facts that and that
[TABLE]
due to the dominated convergence theorem. ∎
Appendix A Billiard with finite horizon: about the coefficients
Let (resp. ) be the set of stable (resp. unstable) -manifolds. In [6], Chernov defines two separation times and which are dominated by and such that, for every positive integer ,
[TABLE]
[TABLE]
Proposition A.1** ([6], Theorem 4.3 and remark after).**
There exist and such that, for every positive integer , for every bounded measurable ,
[TABLE]
with
[TABLE]
and
[TABLE]
Note that
[TABLE]
[TABLE]
We will set and . We will express the terms for in terms of the follwing quantities:
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
with the mediane of .
Proposition A.2**.**
Let be two dynamically Lipschitz continuous functions, with respect to with . Then
[TABLE]
Moreover
[TABLE]
and
[TABLE]
Proof.
As in the proof of Theorem 4.4, we set
[TABLE]
We will only use Proposition A.1 and the fact that to compute .
- •
First we observe that and we apply Proposition A.1.
- •
Second,
[TABLE]
where we used several times Proposition A.1, combined with the fact that .
- •
Third,
[TABLE]
- –
On the first hand
[TABLE]
which converges to .
- –
On the second hand, for , due to Proposition A.1 (treating separately the cases , et ),
[TABLE]
Analogously
[TABLE]
[TABLE]
Hence
[TABLE]
[TABLE]
and
[TABLE]
where we used the fact that .
Therefore we have proved (42).
- •
Let us prove (43). By bilinearity, we have
[TABLE]
Note that
[TABLE]
since has the same distribution as (see the begining of the proof of Proposition 3.1). We will use the following notations: denotes the number of uples made of (with their multiplicities) and we will write for when is given by a long formula.
- –
We start with the study of .
[TABLE]
[TABLE]
and so
[TABLE]
- –
Analogously,
[TABLE]
- –
Finally
[TABLE]
Assume . Considering separately the cases , , and , we observe that
[TABLE]
And so
[TABLE]
This combined with (50), (53) and (54) leads to (43).
- •
It remains to prove (A.2). Observe first that
[TABLE]
where we used (• ‣ A). Note that
[TABLE]
We now study separately each term of the right hand side of this last formula.
- –
First:
[TABLE]
with the number of 4-uples made of (with the same multiplicities). Due to (46),
[TABLE]
But, on the other hand, treating separately the cases , , , and , we obtain that, for every ,
[TABLE]
Due to (48),
[TABLE]
[TABLE]
[TABLE]
Therefore
[TABLE]
Putting together (57), (59), (60) and (62) leads to
[TABLE]
- –
Second:
[TABLE]
But, due to (55), for , we have
[TABLE]
Therefore
[TABLE]
since . It comes
[TABLE]
- –
Analogously,
[TABLE]
Formula (A.2) follows from (58), (63), (65) and (66).
∎
Proposition A.3**.**
The fourth derivatives of at [math] are given by
[TABLE]
Proof.
Derivating four times leads to
[TABLE]
and we conclude due to (34) and due to (coming from Item (iii) of Proposition 4.1). ∎
Acknowledgment. The author wishes to thank Damien Thomine for interesting discussions having led to an improvement of the assumption for the mixing result in the infinite horizon billiard case.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] L. A. Bunimovich, N. I. Chernov & Ya. G. Sinai, Markov partitions for two-dimensional hyperbolic billiards, Russ. Math. Survey 45 (1990), no 3, 105–152.
- 2[2] L. A. Bunimovich, Ya. G. Sinai & N. I. Chernov, Statistical properties of two-dimensional hyperbolic billiards. (Russian) Uspekhi Mat. Nauk 46 (1991), no. 4(280), 43–92, 192; translation in Russian Math. Surveys 46 (1991), no. 4, 47–106
- 3[3] L. A. Bunimovich & Ya. G. Sinai, Markov partitions for dispersed billiards, Comm. Math. Phys. 78 (1980), 247–280
- 4[4] L.A. Bunimovich, & Ya. G. Sinai, Statistical properties of Lorentz gas with periodic configuration of scatterers, Comm. Math. Phys. 78 (1980/81), no. 4, 479–497.
- 5[5] H. Bruin & D. Terhesiu, Upper and lower bounds for the correlation function via inducing with general return times, Ergod. Th. Dyn. Sys , DOI: http://dx.doi.org/10.1017/etds.2016.20
- 6[6] N. Chernov, Advanced statistical properties of dispersing billiards, Journal of Statistical Physics , 122 (2006), 1061–1094.
- 7[7] N. Chernov & R. Markarian, Chaotic billiards, Mathematical Surveys and Monographs , 127. American Mathematical Society, Providence, RI, (2006) xii+316 pp.
- 8[8] J.P. Conze, Sur un critère de récurrence en dimension 2 pour les marches stationnaires, applications, Erg. Th. & Dynam. Syst. 19 (1999) 1233–1245.
