Hausdorff dimension of a class of three-interval exchange maps
Davit Karagulyan

TL;DR
This paper improves the Diophantine conditions for a class of three-interval exchange maps related to Sarnak's conjecture and analyzes the Hausdorff dimension of the parameter set, showing it has positive but not full measure.
Contribution
It refines Bourgain's conditions and estimates the Hausdorff dimension of the parameter set, revealing it has positive measure but zero Lebesgue measure.
Findings
The parameter set has positive Hausdorff dimension.
The parameter set has zero Lebesgue measure.
The Diophantine condition is slightly improved.
Abstract
In \cite{B} Bourgain proves that Sarnak's disjointness conjecture holds for a certain class of Three-interval exchange maps. In the present paper we slightly improve the Diophantine condition of Bourgain and estimate the constants in the proof. We further show, that the new parameter set has positive, but not full Hausdorff dimension. This, in particular, implies that the Lebesgue measure of this set is zero.
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Hausdorff dimension of a class of three-interval exchange maps
Abstract.
In [5] Bourgain proves that Sarnak’s disjointness conjecture holds for a certain class of Three-interval exchange maps. In the present paper we slightly improve the Diophantine condition of Bourgain and estimate the constants in the proof. We further show, that the new parameter set has positive, but not full Hausdorff dimension. This, in particular, implies that the Lebesgue measure of this set is zero.
D. Karagulyan***Department of Mathematics, Royal Institute of Technology, S-100 44 Stockholm, Sweden. Email: [email protected]
1. Introduction
Let denote the Möbius function, i.e.
[TABLE]
In [26], [25] Sarnak introduced the following conjecture. Recall that a topological dynamical system is a compact metric space with a homeomorphism , and the topological entropy of such a system is defined as
[TABLE]
where is the largest number of -separated points in using the metric defined by
[TABLE]
A sequence is said to be deterministic if it is of the form
[TABLE]
for all and some topological dynamical system with zero topological entropy , a base point , and a continuous function .
Conjecture 1** (Sarnak).**
Let be a deterministic sequence. Then
[TABLE]
as .
The conjecture, also known as the Möbius orthogonality or Möbius disjointness conjecture, is known to be true for several dynamical systems. Note, that in the simplest case, when , the conjecture is equivalent to the statement
[TABLE]
which, in fact, is equivalent to the Prime Number Theorem. The orthogonality of the Möbius function to any sequence arising from a rotation dynamical system ( is the circle and , ) follows from the following inequality of Davenport([8])
[TABLE]
for any . However this result predates Sarnak’s conjecture and the methods used in the proof are number-theoretical. When is a translation on a compact nilmanifold it is proved in [17]. In [4] it is established also for the discrete horocycle flows. For orientation preserving circle-homeomorphisms and continuous interval maps of zero entropy the conjectures is proved in [20]. The conjecture has also been proved to hold in several other cases ([1],[2],[3]). Another natural class of dynamical systems are the interval exchange maps. In [5] Bourgain, using the dynamical description of trajectories in ([10]–[12]) and the Hardy-Littlewood circle method, showed that under a certain diophantine condition Conjecture 1 holds for a certain class of three-interval exchange maps. In this paper we slightly improve the diophantine condition of Bourgain and estimate the Hausdorff dimension of the new parameter set (Theorem 7). We want to note, that using the criterion of Bourgain in [5] and the generalization of the self-dual induction defined in [15], for each primitive permutation, Ferenczi and Mauduit([14]) construct a large family of -interval exchanges satisfying Sarnak’s conjecture.
In [6] Eskin and Chaika proved the Möbius orthogonality for three interval exchange maps satisfying a certain mild diophantine condition. Even though their result holds for almost all three interval exchange maps, the diophantine condition considered in their paper is essentially complementary to the one considered here. In [6] the continued fractions are required to have certain bound from above, while in Bourgains method they need to be uniformly large. We note that Eskin and Chaika, in fact, give two proofs of the fact that the Möbius orthogonality holds almost surely for three-interval exchange maps, however the second proof does not provide an explicit Diophintine condition. Their proof is based on the Katai [21] and Bourgain-Sarnak-Ziegler [4] criterion, while Bourgain uses a direct approach.
The present paper is a part of the author’s Ph.D. thesis.
2. Three interval exchange maps
The three-interval exchange transformation with probability vector , , , and the permutation is defined by
[TABLE]
depends only on the two parameters . We note that is continuous except at the points and .
In order to present the main result of the paper we need to recall some facts and definitions from [10] and [5]. Set
[TABLE]
and
[TABLE]
is obtained from the -interval exchange map on given by ([23],[22])
[TABLE]
by inducing (according to the first return map) on the subinterval and then renormalizing by scaling by . We say satisfies the infinite distinct orbit condition (or i.d.o.c. for short) of Keane [23] if the two negative trajectories and of the discontinuities are infinite disjoint sets. Under this hypothesis, is both minimal and uniquely ergodic; the unique invariant probability measure is the Lebesgue measure on (and hence is an ergodic system).
Let denote the open interval , , the simplex bounded by the lines , , and , and the triangular region bounded by the lines , , and . Note that
[TABLE]
We define two mappings on
[TABLE]
According to [10], if is not in and is not on any of the rational lines , , , then there exists a unique finite sequence of integers such that is in , where is a composition of the form . Let
[TABLE]
Clearly is a countable set.
The function is computed recursively as follows: we start with , . Then, given , we have three mutually exclusive possibilities: if is in , the algorithm stops; if , we apply ; if , we apply .
Associated to each point , there is a sequence , where and are positive integers, and . This sequence is called the three-interval expansion of ; it is constructed as follows:
- •
For in let
[TABLE]
and define for
[TABLE]
[TABLE]
where and denote the fractional and integer part of respectively. For set
[TABLE]
We note that is always , hence we ignore it in the expansion.
- •
For we let be the function above for which and put
[TABLE]
and define as in the previous case, starting from .
In [10] the authors also prove the following propositions and theorem:
Proposition 1** ([10, Proposition 2.1, (2)]).**
An infinite sequence is the expansion of at least one pair defining a transformation satisfying the i.d.o.c. condition, if and only if and are positive integers, , and for infinitely many values of .
Proposition 2** ([10, Proposition 2.1, (4)]).**
For , let as above, then
[TABLE]
We define the natural partition
[TABLE]
[TABLE]
[TABLE]
For every point , we define an infinite sequence by putting if , . The sequence is called the trajectory of . If satisfies the i.d.o.c. condition (see [23]), the minimality of the system implies that all trajectories contain the same finite words as factors.
Let be a set of the form ; we say has a name of length given by ; note that is necessarily an interval and is the common beginning of trajectories of all points in .
For each interval , there exists a partition , , of into subintervals (with or ), and integers , such that , and , , , is a partition of into intervals: this is the partition into Rokhlin stacks associated to with respect to . The intervals have names of length and are called return words to .
We have the following theorem.
Theorem 1** ([10, Theorem 2.2]).**
Let satisfies the i.d.o.c. condition, and let
[TABLE]
be the three-interval expansion of . Then there exists an infinite sequence of nested intervals , , which have exactly three return words, , and , given recursively for by the following formulas
[TABLE]
[TABLE]
[TABLE]
if , and
[TABLE]
[TABLE]
[TABLE]
if . The initial words ,, satisfy and they are simple combinations of the symbols and (see Proposition 2.3, [10]).
Let , , . Note that . It follows from Theorem 1 and Proposition 2.3 in [10], that and is either or . In particular, we have and .
Remark 2**.**
In [6] Eskin and Chaika show, that for three interval exchange maps satisfying the conditions – (page 3), Sarnak’s conjecture holds. We want to note, that their approach is also based on the fact that three interval exchange maps can be induced from a two interval exchange map. The numbers , in conditions –, are the continued fractions of the rotation number of the two interval exchange map which induces the three interval exchange map with parameters . In our case this corresponds to the number (see (2.2)), hence the continued fractions of are the numbers and from Proposition 2 it is easy to see, that they are related to the numbers . However in Bourgain’s approach this numbers are required to be sufficiently large (see Theorem 4), while the conditions – essentially give upper bounds.
Using the dynamical descriptions of trajectories in [10], Bourgain [5], proves Sarnak’s disjointness conjectures for a certain class of three interval exchange maps. Now we recall the statement of his theorem.
Consider a symbolic system on the alphabet with finitely many symbols and with order- words of the form
[TABLE]
where it is assumed that remains uniformly bounded, . It is also assumed the following property for the system . For , which is expressed in words , , by iteration of (2.9) we have,
[TABLE]
where
[TABLE]
for some and sufficiently large constant .
Theorem 3** ([5, Theorem 2, page 126]).**
Let be a symbolic system with properties (2.9)–(2.11) and be the shift on the system. Then, if and , one has
[TABLE]
for any , where
[TABLE]
and .
To see how this implies Sarnak’s conjecture, we recall the following inequality, which immediately follows from Parseval’s identity
[TABLE]
From here and Theorem 3
[TABLE]
which implies Sarnak’s conjecture. For three interval exchange maps we have
[TABLE]
One can see, that if and are uniformly large, then the conditions (2.10)–(2.11) are satisfied and as a corollary from Theorem 3 one gets the following result:
Theorem 4** ([5, Theorem 3]).**
Assume is a three-interval exchange transformation satisfying the Keane condition and such that the associated three-interval expansion sequence
[TABLE]
of integers fulfills the conditions
[TABLE]
for sufficiently large. Then satisfies Sarnak’s disjointness conjecture.
Remark 5**.**
Note, that Bourgain’s theorem is in fact more general than the form it is stated in Theorem 4. As it was mentioned above, in Theorem 4 it is assumed, that there is uniform expansion at each steps, i.e. (2.14), but as one can see from the conditions (2.10)–(2.11) it is sufficient to have this expansion after many iterations, for some fixed . More precisely, one can replace the condition (2.14) with
[TABLE]
for all large and fixed .
Next we prove a proposition, which will allow us to rewrite the Diophantine condition (2.14) above in even more general form.
Proposition 3**.**
In Theorem 4 the condition (2.14) can be replaced by
[TABLE]
Proof.
As we have already mentioned, for three interval exchange maps we have . From (2.10)–(2.11) it follows, that it suffices to show, that for any and , one has
[TABLE]
for sufficiently large . One can check from the formulas (2.3)–(2.5), that (2.5) has the shortest length. Hence
[TABLE]
Therefore
[TABLE]
We have from Theorem 1, that , and . Hence
[TABLE]
Similarly
[TABLE]
Assume , then from (2.18) and (2.20)
[TABLE]
So we can assume, that . First, let . Then
[TABLE]
We want to show, that for large enough
[TABLE]
Denote . Then
[TABLE]
or
[TABLE]
Since we have , then clearly
[TABLE]
We now assume that . If , then from (2.21) we will have
[TABLE]
If , then for large values of
[TABLE]
In the same way, under the assumptions , we can show (2.16) assuming . Now consider the case . From (2.16) and (2.18) we need to show
[TABLE]
Since or , and is large for large values of , then
[TABLE]
which implies (2.23).
We now assume, that one of the numbers and is . First let . In this case, according to Proposition 1, can not be positive for infinitely many values of , so we assume, that we have . Hence, is defined by the formulas (2.6)–(2.8), so the word has the largest length and in view of (2.24) we will have
[TABLE]
as .
Again from Proposition 1, it remains to show (2.16) for or , where . In the case of , from (2.6)–(2.8), we have
[TABLE]
Since for large , then one has
[TABLE]
for large values of , as tends to , when , and , for . Similarly, for
[TABLE]
and
[TABLE]
again for large values of . ∎
From this proposition and in view of Remark 5, we arrive at the following theorem:
Theorem 6**.**
Assume is a three-interval exchange transformation satisfying the Keane condition and such that the associated three-interval expansion sequence
[TABLE]
of integers for all and for some fulfills the conditions
[TABLE]
where is as in Theorem 4. Then satisfies Sarnak’s disjointness conjecture.
We now turn to the estimation of the constant . In the proof of Theorem 3 Bourgain, first estimates the norm of the polynomials , namely the lemmas 3 and 4 in [5]. For the result it is also essential to slow down the growth of the norm of the polynomial , whenever (see Lemma 4 in [5]). This condition is achieved by assuming that the lengths of the words in the symbolic representations (2.9) grow sufficiently fast, i.e. conditions (2.10) and (2.11). One of the key places, where this is used is Lemma 4. To estimate how big the constant has to be, we will follow Bourgains steps and give a more quantitative proof of this lemma.
Claim 1**.**
The constant in Theorem 6 is at least required to satisfy
[TABLE]
Proof.
First we note the following. Let be a sequence of words with , where each participates in the symbolic representation of . Then according to the assumptions (2.10) and (2.11) one has
[TABLE]
In the same way
[TABLE]
We note that there can only be finitely many indices, where the above inequalities do not hold, but that will not affect the estimates that follow. Multiplying together the inequalities in (2.26) and (2.27) we will have
[TABLE]
which leads to
[TABLE]
Hence
[TABLE]
Now back to Lemma 4 in [5]. We observe that the proof of the lemma is based on the inequality in [5], i.e.
[TABLE]
The proof of (2.29), in its turn, is based on Lemma 3. We note, that in the proof of Lemma 3 in [5], Bourgain doesn’t use any particular property of the polynomial and since the inequality (2.29) holds for any polynomial , we can assume, that . So we will end up with the following inequality
[TABLE]
We know
[TABLE]
Hence
[TABLE]
[TABLE]
where is the Dirichlet kernel for which one has (e.g., see [29])
[TABLE]
So we conclude, that
[TABLE]
Dividing both sides by and tending to infinity we get, that
[TABLE]
Next we estimate the in of [5]. For this we refer to the inequality in [5]. We point out, that in this part of the paper, Bourgain is proving the bound (2.13), so his goal is to estimate the following integral from above
[TABLE]
For this, in and in [5], he defines the minor and major arcs, which depend on parameters and . Lemma 6, [5], yields the inequality . For arcs which are sufficiently close to rational numbers with large denominators (i.e. when is large) or sufficiently far from the rationals with small denominator (i.e. when is large) applying Lemma 6, [5], one gets the inequality in [5]. Furthermore, applying Lemma 4 and the inequality in [5], for any one gets
[TABLE]
Or dividing both sides by
[TABLE]
From the above inequality it follows, that if one of the numbers is sufficiently large, then the necessary estimate on the set will be achieved. From here Bourgain concludes, that one can assume , for some . But we see from (2.32), that this argument will be possible only if the quantity is small relative to , or
[TABLE]
But from Lemma 6 in [5] we have that . Hence
[TABLE]
We now return to the proof of Lemma 6 in [5]. To obtain his formula , in [5], Bourgain uses the inequality (2.29) above to iterate the formulas (2.3)-(2.8), i.e. for one gets
[TABLE]
Iterating further the polynomials at step we will get at most many members of the form
[TABLE]
(we say since in the formulas (2.3)–(2.8) at most 4 subwords appear). Now, using the geometric arithmetic-mean inequality one gets
[TABLE]
as
[TABLE]
Therefore
[TABLE]
According to in Lemma 4 in [5] the above expression has to be smaller then , i.e.
[TABLE]
However we will neglect the coefficient in the above inequality (which amount to saying, that at each step of the iteration of (2.34) we have only word, or is a power of ). In other words, instead of (2.36) we will consider the following inequality
[TABLE]
which is clearly implied by (2.36). Since , then the above inequality will also imply
[TABLE]
or
[TABLE]
Denote . Hence
[TABLE]
Therefore, if in [5] holds, then so does the inequality above. Now consider
[TABLE]
and compute
[TABLE]
For the critical point of we have
[TABLE]
But
[TABLE]
so we see, that if for some large , then we must have . But we know from (2.28), that for large . This finishes the proof of Claim 1. ∎
As we see the constant in Theorem 6 must be very large. But in the present paper we will only assume that .
We are now ready to formulate the main theorem of this paper:
Theorem 7** (Main theorem).**
Under the conditions of Theorem 4, Sarnak’s disjointness conjecture holds for all three-interval exchange maps , , for which their associated three-interval expansion sequence fulfills the conditions
[TABLE]
for all and some and for the Hausdorff dimension of the set
[TABLE]
for we have the following estimates
[TABLE]
where
[TABLE]
and the function is defined in Theorem 10 (Figure 1), see [9]. In particular
[TABLE]
Corollary 1**.**
If , then the two dimensional Lebesgue measure of the set is zero.
3. Estimates on Hausdorff dimension
We first recall the definition of Hausdorff dimension. Let be a metric space. If and , the -dimensional Hausdorff content of is defined by
[TABLE]
In other words, is the infimum of the set of numbers such that there is some (indexed) collection of balls covering with for each that satisfies . Then the Hausdorff dimension of X is defined by
[TABLE]
We will need the following classical facts about this concept, (see, e.g. [27], Theorem 2).
Theorem 8**.**
If is a Lipschitz map, then .
Theorem 9**.**
If is a countable collection of sets with , then .
Next we prove the following proposition.
Proposition 4**.**
Let , then maps into and it is a Lipschitz map.
Proof.
It is enough to show this for the maps and . By definition is the region bounded by the lines , , and . The inverse of and can be computed as
[TABLE]
and
[TABLE]
If , then considering the two coordinates of we have
[TABLE]
as . Hence
[TABLE]
Similarly for , if
[TABLE]
hence
[TABLE]
To prove that they are Lipschitz it is sufficiently to show, that the partial derivatives are uniformly bounded in .
[TABLE]
[TABLE]
[TABLE]
[TABLE]
as . Since for any , is a composition of Lipschitz functions, i.e.
[TABLE]
then is also Lipschitz. ∎
Recall the following definition from Theorem 7
[TABLE]
Define also
[TABLE]
From the discussion at the beginning of Section 2 and the definition of the sequence we have, that
[TABLE]
Corollary 2**.**
Assume . Then
[TABLE]
Proof.
According to Proposition 4, for any , is Lipschitz. Therefore from Theorem 8 it follows, that
[TABLE]
From this, Theorem 9 and (3.2) we will have
[TABLE]
∎
Therefore, to estimate the Hausdorff dimension of , it is enough to estimate it for , i.e. when and for this ’s one has the following relation
[TABLE]
We now recall the definition of standard continued fractions. For any its continued fraction is an expression of the form
[TABLE]
and its ’th convergent is denoted by
[TABLE]
With the conventions , , , , we have
[TABLE]
and
[TABLE]
Let , where are positive integers, be the interval
[TABLE]
that is
[TABLE]
Here, for , we mean by the closed interval with end-points . This means, that we can also have . From (3.3) it follows that the length of satisfies
[TABLE]
We will also work with more general kind of continued fractions, namely semi-regular continued fractions (SRCF). For its SRCF expansion looks like this
[TABLE]
where and for all . For short we will write (3.6) in the following way
[TABLE]
Note, that if for all , then we get the standard continued fraction expansion of . The SRCF expansion is defined for , but we will also deal with the cases, when or .
The following identity will be fundamental for us (see e.g. [18]). For , and we have
[TABLE]
Using this identity we are going to find the standard continued fraction expansion from their SRCF expansion. According to Proposition 1, if , then
[TABLE]
In other words
[TABLE]
To not carry the minus sign in (3.8) all the time in the computations we will simply replace the with . So from now on (3.8) will look like this
[TABLE]
where . Now we will use the identity (3.7) to get rid of the negative ’s. If in (3.9) for some , then from (3.7)
[TABLE]
or
[TABLE]
By definition and hence . As we see from the equation above, any number can participate in at most two replacements, hence can be reduced by at most , i.e. become . This will be the case with in (3.10) if . If , then the replacement will be valid. The case needs special considerations. From the left hand side in (3.10)
[TABLE]
and since , then
[TABLE]
Putting this back into (3.10) we get
[TABLE]
In a similar way, if we have , for all , and either or and then one can show, that the equality above, can be rewritten as follows
[TABLE]
Observe, that according to (2.37), we should have . We see that as a result of this procedure we will get the continued fraction expansion of .
The next proposition shows, that we have a (2.25) like property also for the standard continued fractions of :
Proposition 5**.**
Let and
[TABLE]
then for the standard continued fractions of , i.e. there is a number so that for any large there is a number , with , such that
[TABLE]
where .
Proof.
We know from (2.25), that
[TABLE]
Let the number of ’s and ’s between the numbers be respectively equal to and . Therefore
[TABLE]
where
[TABLE]
and
[TABLE]
for . Therefore
[TABLE]
Assume, that the digits
[TABLE]
during the procedure described above have transformed into new many digits, i.e corresponding to the standard continued fractions
[TABLE]
In case we have digit 1’s appearing on both sides of the continued fraction , then in (3.16) we will include only the left digit 1.
In case for all , we will have a new digit appearing in between any two digits and . Therefore the number of digits in (3.15) will at most double, i.e.
[TABLE]
And since each digit may participate in at most two replacements, then clearly
[TABLE]
Now note, that if , then
[TABLE]
Therefore
[TABLE]
Thus
[TABLE]
or
[TABLE]
And since , then
[TABLE]
Therefore
[TABLE]
We can also see from (3.17) that is uniformly bounded, since
[TABLE]
∎
By definition
[TABLE]
and since by assumption , then
[TABLE]
We recall, that our goal is to estimate the Hausdorff dimension of the set . Define
[TABLE]
where the function is defined in (2.1). Notice, that the set
[TABLE]
from Proposition 5, satisfies the inclusion
[TABLE]
It is not difficult to see, that for any
[TABLE]
Alternatively
[TABLE]
One can now see from Khinchine’s theorem [24], that for sufficiently large the Lebesgue measure of the set is zero. Indeed, according to Khintchine’s theorem
[TABLE]
where
[TABLE]
Clearly, in view of (3.18) for any
[TABLE]
Therefore the Lebesgue measure of the set is zero. From this one can see, that the two dimensional Lebesgue measure of , for which , is also zero. However this will also follow from Corollary 1.
In [9] the authors, alongside with other things, for each , compute the Hausdorff dimension of the set of all , for which the following limits exists and equals
[TABLE]
or equivalently, if
[TABLE]
In this paper we need to estimate the Hausdorff dimension of the set , where the continued fractions, in particular, satisfy the property (3.24). Therefore we need, in a sense, stronger result. We will show in the sequel, that the method used in [9] will allow to achieve this.
Proposition 6**.**
For , the Hausdorff dimension of the set satisfies the following bounds
[TABLE]
where the function is defined in Theorem 10.
Proof.
We recall certain facts from [9]. Let
[TABLE]
[TABLE]
For , define
[TABLE]
It is shown in [9], that is an analytic function in . Moreover, for any , there exists a unique solution to the equation
[TABLE]
In [9] the authors study the Khintchine exponents and the Lyapunov exponents, that is for the numbers
[TABLE]
[TABLE]
if they exist. In the above formulas is the Gauss map, i.e.
[TABLE]
which is known to preserve the measure
[TABLE]
From Birkhoff’s ergodic theorem we have, that
[TABLE]
For real numbers one considers the level sets of Khintchine exponents and Lyapunov exponents
[TABLE]
[TABLE]
The following theorem holds.
Theorem 10** ([9]).**
Let be as in (3.26). For , the set is of Hausdorff dimension . Furthermore, the dimension function has the following properties:
* and ;*
* for all , , and for all .*
* and *
* and for some , so is neither convex nor concave.*
Next we recall certain fact from pp. 100–101 in [9].
For any choose an so, that
[TABLE]
and
[TABLE]
Such an exists, since is strictly decreasing with respect to , see pp. 100-101 in [9]. Let be the collection of all -th order cylinders , such that
[TABLE]
Let
[TABLE]
It is shown in [9], page 101, that
[TABLE]
Now consider the set
[TABLE]
or alternatively
[TABLE]
From (3.29) it follows, that
[TABLE]
One can also see, that if , then
[TABLE]
Now let be such, that
[TABLE]
and
[TABLE]
The choice of the number comes from (3.23). From the monotonicity of (see Theorem 10 and Figure 1), for we will have
[TABLE]
Therefore, for , in view of (3.32) one can choose in such a way, that
[TABLE]
and (3.31) holds for . Let
[TABLE]
be the collection of all these intervals, for . Clearly
[TABLE]
By representing the closed halfinterval as a union of countably many closed intervals and using the Heine–Borel lemma, we can find a countable sub-family of intervals from (3.34)
[TABLE]
so that
[TABLE]
Hence, in view of (3.31), (3.33), we will have
[TABLE]
Consider now the following two sets and :
[TABLE]
and
[TABLE]
In follows from (3.23), that
[TABLE]
Since
[TABLE]
then
[TABLE]
Therefore, from (3.36)
[TABLE]
As for the set , one has
[TABLE]
Therefore
[TABLE]
But since was an arbitrary number between and , and is a continuous function, then it follows
[TABLE]
Recall the definitions of the sets and , (3.20), (3.19). Our goal is to estimate the Hausdorff dimension of the set . From (3.21) we have
[TABLE]
To estimate the Hausdorff dimension of from below we notice, that
[TABLE]
One gets this by considering the set of all , where , and . But according to Theorem 2 in [16], the Hausdorff dimension of the set (3.41) in the case , can be estimated from below as follows
[TABLE]
Combining this with (3.40), we get
[TABLE]
∎
4. Proof of main theorem
Proof.
We have
[TABLE]
We want to estimate the Hausdorff dimension of the set . From (2) we have, that
[TABLE]
For this we refer to a standard fact from the theory of Hausdorff dimensions. If is , for all , then for any set one has
[TABLE]
To verify this conditions for in we compute
[TABLE]
and
[TABLE]
We see, that in . Hence, from formula (4.1)
[TABLE]
But then, from Proposition 6
[TABLE]
Since, for we had , then, in view of Theorem 10, we get
[TABLE]
Therefore
[TABLE]
∎
Acknowledgements
The author would like to express his gratitude to Michael Benedicks for his guidance and valuable suggestions and also to El Houcein El Abdalaoui for many useful discussions and comments on the manuscript.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] H. El Abdalaoui, M. Lemanczyk, T. De La Rue, Automorphisms with quasi-discrete spectrum, multiplicative functions and average orthogonality along short intervals, IMRN to appear (2015).
- 2[2] H. El Abdalaoui, M. Lema´nczyk, T. de la Rue, On spectral disjointness of powers for rank-one transformations and Möbius orthogonality, J. Functional Analysis 266 (2014), 284-317.
- 3[3] H. El Abdalaoui, S. Kasjan and M. Lema´nczyk, 0-1 sequences of the Thue-Morse type and Sarnaks conjecture, preprint, Proc. Amer. Math Soc, 144(2016), no 1, 168-176.
- 4[4] J. Bourgain, P. Sarnak, T. Ziegler, Disjointness of Möbius from horocycle flows. From Fourier analysis and number theory to radon transforms and geometry, 67-83, Dev. Math., 28, Springer, New York, 2013.
- 5[5] J. Bourgain, On the correlation of the Möbius function with rank-one systems, J. Anal. Math. 120 (2013), 105–130.
- 6[6] J. Chaika, A. Eskin, Möbius disjointness for interval exchange transformations on three intervals, http://arxiv.org/abs/1606.02357
- 7[7] F. Cellarosi and Ya. G. Sinai, Ergodic properties of square-free numbers, J. Eur. Math. Soc. 15 (2013), 1343–1374.
- 8[8] H. Davenport, On some infinite series involving arithmetical functions. II, Quart. J. Math., Oxford Ser. 8,(1937), 313-320.
