The Hausdorff dimension of multiply Xiong chaotic sets
Jian Li, Jie L\"u, Yuanfen Xiao

TL;DR
This paper constructs a special type of chaotic set with full Hausdorff dimension in certain dynamical systems, demonstrating complex chaotic behavior with maximal fractal complexity.
Contribution
It introduces a multiply Xiong chaotic set with full Hausdorff dimension within multiply proximal cells for the full shift and Gauss systems, advancing understanding of chaos in these systems.
Findings
Constructed multiply Xiong chaotic set with full Hausdorff dimension
Set contained in multiply proximal cells for full shift and Gauss systems
Demonstrated existence of highly complex chaotic sets in these systems
Abstract
We construct a multiply Xiong chaotic set with full Hausdorff dimension everywhere that is contained in some multiply proximal cell for the full shift over finite symbols and the Gauss system respectively.
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The Hausdorff dimension of multiply Xiong
chaotic sets
Jian Li
Department of Mathematics, Shantou University, Shantou, 515063, Guangdong, China
,
Jie Lü
School of Mathematics, South China Normal University, Guangzhou 510631, China
and
Yuanfen Xiao
Department of Mathematics, University of Science and Technology of China, Hefei, 230026, Anhui, China
Abstract.
We construct a multiply Xiong chaotic set with full Hausdorff dimension everywhere that is contained in some multiply proximal cell for the full shift over finite symbols and the Gauss system respectively.
Key words and phrases:
multiply Xiong chaos, multiply proximal cells, symbolic systems, the Gauss system, Hausdorff dimension
2010 Mathematics Subject Classification:
54H20, 37B05, 37B10, 37B99
1. Introduction
By a topological dynamical system, we mean a pair , where is a metric space and is a continuous self-map of . A compatible metric on is denoted by . A subset of is said to be scrambled if any two distinct points satisfy
[TABLE]
We say that a topological dynamical system is Li-Yorke chaotic if there exists an uncountable scrambled subset of . As Li-Yorke chaos only requires an uncountable scrambled set, it is natural to ask how “large” a scrambled set can be. There are two approaches about the size of a set: topological and measure-theoretic. In [BHS08], Blanchard, Huang and Snoha studied the topological size of scrambled sets extensively, see also the references therein. In [BL99], Balibrea and Jiménez López surveyed the Lebesgue measure of scrambled sets for continuous maps on the interval till then. In [B09], Bruin and Jiménez López studied the Lebesgue measure of scrambled sets for and multimodal interval maps with non-flat critical points. Recently, in [Li2017] Liu and Li constructed a scrambled set with full Hausdorff dimension for the Gauss system.
In the study of the complexity of weakly mixing system, Xiong introduced a kind of chaos in [XX91] and [X91], which is called Xiong chaos nowadays. We say that a subset of containing at least two points is Xiong chaotic if for any subset of and any continuous function , there exists an increasing sequence of positive integers such that for every ,
[TABLE]
It is clear that every Xiong chaotic set is scrambled. It is shown in [X91] that a non-trivial topological dynamical system is weakly mixing if and only if it has a , -dense, Xiong chaotic set. In [X95], Xiong constructed a Xiong chaotic set with full Hausdorff dimension everywhere in the full shift over finite symbols. Wu and Tan generalized this result to the full shift over countable symbols in [WT07].
In [BH08], Blanchard and Huang introduced a local version of weak mixing and showed that if a topological dynamical system has positive topological entropy, then it has “many” weakly mixing sets and then “local” Xiong chaotic sets. Recently, Huang et. al generalized this result to -weakly mixing sets [HLYZ17]. In fact, inspired by the proof of Theorem A in [HLYZ17], we can proposal the following concept of multiply Xiong chaotic set. We say that a subset of containing at least two points is multiply Xiong chaotic if for any , any subset of , and continuous functions for , there exists an increasing sequence of positive integers such that for every ,
[TABLE]
With this terminology, combining with Theorem A and Proposition 3.2 in [HLYZ17], we have that a non-trivial topological dynamical system is -transitive if and only if it has a dense, -Cantor, multiply Xiong chaotic set. In addition, the author in [Liu2019] showed that positive topological entropy implies the existence of -weakly mixing subsets for finitely generated torsion-free discrete nilpotent group actions.
The main aim of this paper is to study the Hausdorff dimension of multiply Xiong chaotic sets in the full shift and the Gauss system. In fact, we will study chaotic sets in the multiply proximal cell of a point.
Recall that a pair is proximal if and the proximal cell of a point is defined by . The structure of the proximal cell plays an important role in a topological dynamical system. Many results concerning the structure of proximal cell have been studied. For example, Auslander and Ellis proved that every proximal cell contains a minimal point for a compact system [Au60]. Moreover, in a weakly mixing system every proximal cell is residual [AK03]. In [HW04], Huang, Shao and Ye proved an equivalent statement of an -mixing system by the dense structure of for any and they gave a detailed description of the proximal cells for -mixing systems where is a Furstenberg family satisfying some special properties.
We generalize the proximal to multiply proximal as follows. A pair is called multiply proximal if for any , the pair satisfies and the multiply proximal cell of a point is denoted by . It is clear that is a subset of . We will study the multiply Xiong chaos in multiply proximal cells for some special systems. Now we are ready to state the main results of this paper as follows:
Theorem 1.1**.**
Let be a positive integer. In the full shift over -symbols, for every , the multiply proximal cell of contains a multiply Xiong chaotic sets with full Hausdorff dimension everywhere.
The Gauss map is defined by T(x)=\frac{1}{x}-\bigl{\lfloor}\frac{1}{x}\bigr{\rfloor} for and , where denote the greatest integer less than or equal to . The restriction of on is called the Gauss system.
Theorem 1.2**.**
In the Gauss system , for every in , the multiply proximal cell of contains a multiply Xiong chaotic sets with full Hausdorff dimension everywhere.
The paper is organized as follows. In Section 2, we introduce some preliminaries. Section 3 is devoted to proving Theorem 1.1. In Section 4, Theorem 1.2 is proved and we discuss the properties of the scrambled set for the Gauss system.
2. Preliminaries
In this section, we present some basic notations, definitions and results that will be used later.
2.1. Upper density
Denote the set of positive integers. For a finite subset of , denote the cardinality of by . For a subset of , the upper density of is defined as
[TABLE]
For a strictly increasing sequence in , we can view it as an infinite subset of and define the upper density of this sequence as the one of the infinite subset.
2.2. Hausdorff dimension
In a metric space , for a subset of , a real number , and , define
[TABLE]
where denotes the diameter of a set. The -dimension Hausdorff measure of is given by
[TABLE]
and the Hausdorff dimension of is
[TABLE]
The basic knowledge about Hausdorff dimension can be found in [Fa2003], which we refer the reader to. We say that a subset of has full Hausdorff dimension everywhere if for any non-empty open subset of .
Let be a positive real number. We say that a map satisfies the locally -Hölder condition if there exist a real number and a constant such that |f(x)-f(y)|\leq c\bigl{(}\rho(x,y)\bigr{)}^{\alpha} holds for any with .
The following well known lemma can be easily deduced from the definitions of Hausdorff dimension and the locally -Hölder condition.
Lemma 2.1**.**
Let be a metric space and be real numbers. If a map satisfies the locally -Hölder condition, then , where is the constant in the definition of the locally -Hölder condition. Moreover, .
2.3. Ergodic theory
For a probability space , a transformation is called measure-preserving if and for any in the -algebra . In this case, the quadruple is called a measure-preserving system. A measure-preserving transformation is called ergodic if the only members of with satisfies or , weakly mixing if is ergodic, and strongly mixing if for any . It is obviously that every strongly mixing transformation is weakly mixing and every weakly mixing transformation is ergodic.
We say that a measure-preserving system is exact if for each in the tail -algebra , either or is zero. The exactness was introduced by Rokhlin in [R61] and he obtained the following result.
Proposition 2.2** ([R61]).**
- (1)
If a measure-preserving system is exact, then it is strongly mixing. 2. (2)
A measure-preserving system is exact if and only if for every with and for every .
3. multiply Xiong chaotic sets in full
shift over finite symbols
In this section, we construct a multiply Xiong chaotic set with full Hausdorff dimension everywhere for the full shift over finite symbols, which proves Theorem 1.1.
3.1. The full shift over finite symbols
Let be an integer with . We endow the finite set with the discrete topology and the product space is compact and metrizable. A compatible metric on can be defined as follow. For any and ,
[TABLE]
The shift map is defined as for any . It is clear that is continuous. The dynamical system is called the full shift over symbols.
Let . Each element in is called a word with length and denote the set consisting of all the words by . For a point , denote its prefix with length by . We also use to represent the number at the -position of for any . We say that the number is the position of the word appeared in the point for any . The cylinder generated by the word is the set consisting of the points with the same word as its prefix and denote it by . Clearly, a cylinder is both open and closed. For and , denote by or the concatenation of and , that is . Since may be different from , we require that the symbol “ ” means . It is not hard to show that with the metric , any cylinder has full Hausdorff dimension, which is equal to .
The following result was proved in [X95, Lemma 3], which is a key estimation of the Hausdorff dimension of a subset of .
Lemma 3.1**.**
Let be a sequence of strictly increasing positive numbers. Define a map , . Let be a subset of . If the upper density of is and , then .
3.2. Proof of Theorem 1.1
Now we construct a multiply Xiong chaos set step by step. Note that the main idea comes from [X95], but we should amend the method to multiply Xiong chaotic case. We first define a map to construct a subset, then we show that this subset meets the requirement.
Fix a point . For each , let . We list all the self-maps on as . Fix a point in . To define , we first use these maps to construct a series of words functioning as the chaotic part. For any integer and , we choose a word in that will be specialized later. We list the elements in as \mathbf{p}_{i}^{(n)}=\bigl{(}p_{i,1}^{(n)},p_{i,2}^{(n)},\dotsb,p_{i,l_{n}}^{(n)}\bigr{)}, .
First, we deal with the case when . Define a word as follow,
[TABLE]
Second, when , define a word
[TABLE]
Continuing this process, for each , we can define a word
[TABLE]
Denote the length of by .
Next, we start to define another series of words in order to meet the requirement of the proximal part. Set for any . When , define a word
[TABLE]
where and are two words that will be defined later. We determine the word by the following rules:
- (1)
the length of is equal to ; 2. (2)
the length of is equal to ; 3. (3)
we choose a proper length of each such that for and , where is the position of the word appeared in . 4. (4)
we specialize the words and such that the word
[TABLE]
is an initial segment of , that is , where is the length of .
Let . Denote by the set of the positions of , , and , , , for appeared in . Note that the position of appeared in is and the position of appeared in is . We estimate the density of the set as follow.
- (i)
If an integer satisfies , then
[TABLE] 2. (ii)
If , then
[TABLE]
When , define a word
[TABLE]
where is a positive integer and is a word for , which will be defined later. We determine the word by the following rules:
- (1)
and , where ; 2. (2)
the length of is equal to and the length of is for ; 3. (3)
and ; 4. (4)
we choose a proper length of each such that for and , where is the position of the word appeared in ; 5. (5)
we specialize the words and such that the word
[TABLE]
is an initial segment of .
We denote by the set of the positions of , , , , , , , , for appeared in . We estimate the density of set as follow.
- (i)
If , then
[TABLE] 2. (ii)
If , then
[TABLE] 3. (iii)
If , then
[TABLE]
Assume that we have completed the construction in the case . We carry on the case as follows. Define a word
[TABLE]
where is a positive integer and is a word for , which will be defined later. We determine the word by the following rules:
- (R1)
and , where ; 2. (R2)
the length of is equal to and the length of is for ; 3. (R3)
and ; 4. (R4)
we choose a proper length of each such that for and , where is the position of the word appeared in ; 5. (R5)
we specialize the words and such that the word
[TABLE]
is an initial segment of .
We denote by the set of the positions of , , , , , ,, and , , , , , , , , , , , , for appeared in . We estimate the density of set as follow.
- (i)
If , then
[TABLE] 2. (ii)
If , then
[TABLE] 3. (iii)
If , then
[TABLE]
By induction the sequence is defined, now we define . It is easy to see that is injective and continuous.
For any and , define a map by for any . It is clear that is a continuous and open map. Numerate the countable set as . For any , set and . Then we make the countable union as and . Based on the fact that is pairwise disjoint closed for any (because both and are two sequences of disjoint closed subsets), we can define a map such that for any . Note that is a closed subset of for any , since is a countable intersection of closed subsets of . And is continuous for any , the map is continuous.
We now turn to show that is contained in the multiply proximal cell of the point . For any and , there exists such that . According to (R2) and (R3), we know that for . Hence, is contained in the multiply proximal cell of . Furthermore, we can also obtain that .
Next, we show that has full Hausdorff dimension everywhere. First, it is not hard to show that for any . Second, let . By (R5) it is easy to see that is identity. Third, we claim that the density of the set is zero. The reason is that for any with being an integer larger than , there exists an integer such that for any we can find some integer with such that
[TABLE]
Fourth, by Lemma 3.1, we know that because and the density of is zero. As the map only changes the prefix of the points in with length , it turns out that for any . At last, for any non-empty open subset of , there exists some such that . Since , it is clear that .
Finally, it remains to show that is multiply Xiong chaotic. As is continuous, it is sufficient to show that is a multiply Xiong chaotic set. Let be a subset of and be a continuous map for . For any , any , and any , define an integer
[TABLE]
If , there exists a unique word in such that , which also means for . We list two useful results as follows,
- (P1)
Fix a positive integer , if with , then . Furthermore, if , then for . 2. (P2)
for . From the continuity of for and the fact that , it is clear that . In other words, for any integer , there exists such that for and any . It implies that there exists a word with length such that for . So, for this , , and any , it has that , which means for .
By (P2), there exists such that for and any . Therefore, for a sufficient large we can find the cylinder and in fact for .
If for any , by (P1) we know that the set is finite, since is finite. Thus, there exists such that
[TABLE]
for any with for . According to the construction of the map , there exists a positive integer such that
[TABLE]
hold for any . We claim that is the sequence that we want. As we have proved, for any there exists such that holds for any , which means that both and are contained in the same cylinder for . Then according to the fact that , we obtain for . This ends the proof of Theorem 1.1.
Remark 3.2**.**
For the full shift over symbols, it is clear that for any with . Notice [FHYZ12, Lemma 5.1] and [FHYZ12, Lemma 5.4], it immediately turns out that the Hausdorff dimension of the multiply Xiong chaotic set is equal to its Bowen dimension entropy divided by the logarithm of . Note that the Hausdorff dimension is dependent on the metric, but the Bowen dimension entropy is not.
4. Multiply Xiong chaotic set in the Gauss system
In this section we first study the Lebesgue measure of scrambled sets in the Gauss system and then provide a proof of Theorem 1.2 through the relation between the Gauss system and the full shift over countable symbols.
4.1. Proximal cells and Li-Yorke scrambled sets
Recall that the Gauss map is defined by T(x)=\frac{1}{x}-\bigl{\lfloor}\frac{1}{x}\bigr{\rfloor} for and where represents the integer part of a real number. The Gauss map induces an infinite continued fraction of every irrational number . Specifically, the continued fraction of is
[TABLE]
where a_{1}(x)=\bigl{\lfloor}\frac{1}{x}\bigr{\rfloor} and a_{n}(x)=\biggl{\lfloor}\frac{1}{T^{n-1}(x)}\biggr{\rfloor} for any . Although the Gauss map is not continuous, it still has some interesting dynamical properties discussed in the continuous dynamical system. And we are interested in the irrational part mostly. Hence, we call the Gauss system and adopt the concepts in the continuous system to describe the dynamical properties for the Gauss system.
Let be the Borel -algebra on . We use to denote the Lebesgue measure. It is well known that the Gauss map preserves the Gauss measure that is given by where the integration is with respect to the Lebesgue measure for any . It is clear that the Gauss measure and the Lebesgue measure are equivalent, that is they have the same null sets and full measure sets. It is shown in [R61] that the Gauss map with the Gauss measure is exact.
Lemma 4.1**.**
The Gauss map sends Borel sets to Borel sets.
Proof.
Let be a Borel subset of and for any . Then can be written as . Observe that is a homeomorphism, is a Borel subset of . ∎
Proposition 4.2**.**
For every irrational number in the Gauss system , is residual and has full Lebesgue measure. In particular, every proximal cell is residual and has full Lebesgue measure.
Proof.
Now fix a point , as the Gauss measure is exact, is strongly mixing by Proposition 2.2; In particular, is ergodic. For any , applying the well-known Birkhoff Ergodic theorem (see [WP]) to the indicator function in the ergodic system , we obtain that for almost every ,
[TABLE]
It means that for a fixed positive integer , there exists a measurable set with such that for any , there exists a positive integer such that holds for any . It implies that there exists a positive integer such that . Then, has full Lebesgue measure and is contained in . Set
[TABLE]
It is easy to see that the Borel set is a subset of for any integer . If does not have full -measure, then there exist such that
[TABLE]
This is a contradiction, so must be equal to for any and .
Let . It is easy to see that the Borel set is a subset of . For , let
[TABLE]
and for , let
[TABLE]
It is clear that all and are also Borel sets. To prove , it is sufficient to show that for all since and . Assume by contradiction that there exist some such that . On one hand, for this fixed , it is easy to compute that the measure of the -neighborhood of is
[TABLE]
for any . On the other hand, by Lemma 4.1, for any and from the exactness and Proposition 2.2. Set . There exists some such that for any . Thus, we can pick a point in . Write with . There exists such that , which implies that . And there also exists such that . According to the definition of , it is easy to verify that
[TABLE]
which is a contradiction. Therefore, must be zero and . Note that is exactly the set , which has full Lebesgue measure and contains a dense subset. This ends the proof. ∎
Recall that a dynamical system is Li-Yorke sensitive if there exists a sensitive constant such that for any and any , there exists in the -neighborhood such that is proximal and . A scrambled set is call maximal if is maximal in the inclusion relation among all scrambled sets. The following two corollaries are clear.
Corollary 4.3**.**
The Gauss system is Li-Yorke sensitive.
Corollary 4.4**.**
Every maximal scrambled set in the Gauss system is uncountable.
Proposition 4.5**.**
Every measurable scrambled set in the Gauss system has Lebesgue measure zero.
Proof.
Assume that there exists a scrambled set with positive Lebesgue measure, it is clear that also has positive Gauss measure. Choose a Lebesgue measurable subset of such that and . By Lemma 4.1 and the exactness of the Gauss map, we have and for . This means that there exists such that and . It implies . This is a contradiction because is scrambled and must be injective. ∎
Note that a multiply Xiong chaotic set is scrambled, we have the following corollary.
Corollary 4.6**.**
Every measurable multiply Xiong chaotic set in the Gauss system has Lebesgue measure zero.
4.2. multiply Xiong chaotic set in the
full shift over countable symbols
Let . There exists a natural bijection by . Endow with the discrete topology. Then the product space is metrizable, separable, not compact but complete. A compatible metric on can be defined as follow: for any and ,
[TABLE]
It is not hard to show that is a homeomorphism between and with . But it should be noticed that neither nor is Lipschitz continuous. The shift map on is defined by , for any . It is clear that is continuous. The pair is called the full shift over countable symbols. The definitions of word, prefix and cylinder etc. are similar to the definitions in full shift over finite symbols.
Proposition 4.7**.**
If is a multiply Xiong chaotic set in the full shift over countable symbols , then is a multiply Xiong chaotic set in the Gauss system. Moreover, for any , if is a subset of , then is contained in .
Proof.
For any , any non-empty subset , and any continuous maps , define continuous maps for . Since is a multiply Xiong chaotic set in the full shift over countable symbols, for the non-empty subset and every continuous map , there exists an increasing sequence such that
[TABLE]
It implies
[TABLE]
for any and . The second result is clear. ∎
By Proposition 4.7, in order to study the multiply Xiong chaotic set in the Gauss system, we need to construct a multiply Xiong chaotic set in the full shift over countable symbols. As the idea is similar to the construction in the proof of Theorem 1.1, we only sketch the construction and the details are left to interested readers.
Lemma 4.8**.**
[WT07, Lemma 2]* Let be a compact subset of . We have where is a cylinder of with not empty.*
Lemma 4.9**.**
[WT07, Lemma 3]* Let be a sequence of strictly increasing positive numbers. Define a map , . Let be a subset of . If the density of is less than and , then .*
Proposition 4.10**.**
In the full shift over countable symbols, for every , the multiply proximal cell of contains a multiply Xiong chaotic sets with full Hausdorff dimension everywhere.
Proof.
Let and . We list all the self-maps on as . We can define a map similar to in the proof of Theorem 1.1. Set . For any and , we can also define a map by for any . Set , , and . It is easy to see that each is not empty and pairwise disjoint closed subset, so is for any .
Similarly, we can also define a continuous map such that . Obviously, is contained in the multiply proximal cell of . We proceed to show that is with full Hausdorff dimension everywhere and then show its chaotic property. For any non-empty open subset of , there exists some such that , so contains . According to Lemma 4.8, Lemma 4.9, and the same explanation in the proof of Theorem 1.1, we know that .
The remaining part is to show that is a multiply Xiong chaotic set. Most of this part is similar to the full shift over finite symbols. We only explain the difference here. As is continuous, it is sufficient to show that is a multiply Xiong chaotic set. Let and be a continuous map for . Similarly, for , any , and any , we can define an integer as the proof of Theorem 1.1 and all the results about are also valid. Observe that is a subset of the compact set , the set is finite. By (P1), we know that the set is finite. Then we can carry on applying the method in the proof of Theorem 1.1 to show that is a multiply Xiong chaotic set in .
∎
4.3. Proof of Theorem 1.2
By Propositions 4.7 and 4.10, we should estimate the Hausdorff dimension of the image of the multiply Xiong chaotic under the map . To this end, we need some results of the continued fraction and we refer the reader to [Io2002] for more details. Assume that the infinite continued fraction of is . For any , we call the rational number the -th convergent of and denote it by
[TABLE]
where and . If we set , , then for any ,
[TABLE]
For any and , the fundamental interval is defined by
[TABLE]
The endpoints of are and where and . More precisely, in the case when is odd,
[TABLE]
and in the case when is even,
[TABLE]
Whatever, the Lebesgue measure of the interval is . We will need the following useful results.
Lemma 4.11** ([Wu2006]).**
For any and , it has that
[TABLE]
Lemma 4.12** ([Hu2014]).**
There exists a positive number such that
[TABLE]
where and for any .
Theorem 4.13** ([J28]).**
For any ,
[TABLE]
Inspired by the proof of Theorem 4.13 in [J28], we have the following result.
Proposition 4.14**.**
Let . For any , any , and any integer ,
[TABLE]
Proof.
For any , denote
[TABLE]
For any , denote
[TABLE]
and
[TABLE]
The following properties are obvious by the definitions:
- (1)
for any . 2. (2)
for any . 3. (3)
If , then for any . 4. (4)
for any . 5. (5)
It is clear that
[TABLE]
which is closed and perfect because is not a singular and . It is clear that is compact. Let and be a positive integer. Assume that is a finite -cover (the diameter of each element of is less than ) of with containing infinite points for . In the closed set we can pick and for . Thus, is still a -cover of by replacing with in for . It is clear that
[TABLE]
Since both and are elements of
[TABLE]
we can set
[TABLE]
It is not hard to show that the following result: For every with , there exist , with for , and for any such that . And there also exist two distinct integers and with such that and .
In the following, as only the endpoints of a close interval are needed, we use to denote and for convenience. Observe that for any ,
[TABLE]
where , , , and . As a result, the distance between and is not less than the minimum of
[TABLE]
and
[TABLE]
Furthermore, both (4.1) and (4.2) are not less than , because
[TABLE]
and similarly
[TABLE]
Therefore, it can be concluded that
[TABLE]
from the fact that
[TABLE]
So far, it has been proved that for any , there exists an interval corresponding to it where and are all related to . Next, replacing by the interval , we get another family that is a -cover of .
Hitherto, we have known that for any and any finite -cover of , there exists a -cover of satisfying
[TABLE]
Moreover, set
[TABLE]
Obviously, . If there exist two intervals, for example some with and , then remove from . We can get another -cover by such a further repetition. It is clear that any two distinct intervals and in do not intersect. Set
[TABLE]
Then . According to the definition, there exist with for and such that , which implies that , , , are certainly all in .
**Claim. ** Let . For any , any with for , and any , it has that
[TABLE]
**Proof of the claim. ** At first, compute
[TABLE]
So,
[TABLE]
where and . If , then
[TABLE]
We obtain that \biggl{(}1-\frac{\beta}{k}\biggr{)}\times 2^{1-s}\geq 1 for any . So, it is allowed to replace the following intervals :
[TABLE]
by one interval . Do such replacement until we get a -cover in which the longest interval is some . Through the process, it guarantees that
[TABLE]
Thus, for any positive number and any -cover , it has that
[TABLE]
which means . ∎
Now we are ready to prove Theorem 1.2.
Proof of Theorem 1.2.
Let . According to the proof of Proposition 4.10, we can construct a multiply Xiong chaotic set contained in the multiply proximal cell of . By Proposition 4.7, let be a multiply Xiong chaotic set contained in in the Gauss system. Now, it remains to show that is a subset with full Hausdorff dimension everywhere. Note that is exactly the set for any and any , it is sufficient to show that . We divide the remaining part of the proof into three parts. First, define a map
[TABLE]
It is not hard to see that and is bijective and continuous.
Second, recall the subset of with zero density in the construction of the map in the proof of Theorem 1.1. Let . It can be inferred that where is a non-negative constant. For a fixed real number , if we choose , then for any , there exists a large enough such that for any ,
[TABLE]
which means
[TABLE]
Third, we are going to prove that for , satisfies the locally -Hölder condition. Since is compact, the set is finite for any . Set
[TABLE]
For a pair of two distinct points and in with , there exists some such that for any but with . Obviously, both and are not more than some since is compact. If is odd, is less than and the interval is contained in . Otherwise, is larger than and is contained in . So, by Lemma 4.12 ,
[TABLE]
Set be the word by erasing the items with position in from . Let . Note that , by Lemma 4.11,
[TABLE]
Combine with (4.3), it is clear that
[TABLE]
It can be concluded from Lemma 2.1 that
[TABLE]
for any . Hence,
[TABLE]
for any . By Proposition 4.14,
[TABLE]
We obtain
[TABLE]
for any . Passing , this implies
[TABLE]
for any . ∎
Acknowledgments
The work was supported by NNSF of China (Nos. 11471125, 11871228 and 11771264) and NSF of Guangdong Province(2018B030306024).
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The reference list from the paper itself. Each links out to its DOI / PubMed record.
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