Intermediate Assouad-like dimensions
Ignacio Garc\'ia, Kathryn Hare, Franklin Mendivil

TL;DR
This paper introduces a new family of bi-Lipschitz-invariant dimensions that interpolate between box and Assouad dimensions, providing refined geometric insights and exploring their properties through Cantor sets and other constructions.
Contribution
It defines and studies intermediate dimensions between box and Assouad, including their relationships, properties, and explicit calculations for Cantor-like sets.
Findings
Constructed a Cantor set with a non-trivial interval of dimensions.
Demonstrated that decreasing sets in R can have intermediate dimensions.
Provided formulas for dimensions of Cantor-like sets.
Abstract
We introduce and study bi-Lipschitz-invariant dimensions that range between the box and Assouad dimensions. The quasi-Assouad dimensions and -spectrum are other special examples of these intermediate dimensions. These dimensions are localized, like Assouad dimensions, but vary in the depth of scale which is considered, thus they provide very refined geometric information. We investigate the relationship between these and the familiar dimensions. We construct a Cantor set with a non-trivial interval of dimensions, the endpoints of this interval being given by the quasi-Assouad and Assouad dimensions of the set. We study continuity-like properties of the dimensions. In contrast with the Assouad-type dimensions, we see that decreasing sets in with decreasing gaps need not have dimension or . Formulas are given for the dimensions of Cantor-like sets and these…
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Intermediate Assouad-like Dimensions
Ignacio García, Kathryn E. Hare and Franklin Mendivil
Centro Marplatense de Investigaciones Matemáticas, Facultad de Ciencias Exactas y Naturales
and Instituto de Investigaciones Físicas de Mar del Plata (CONICET)
Universidad Nacional de Mar del Plata, Argentina
Dept. of Pure Mathematics, University of Waterloo, Waterloo, Ont., Canada, N2L 3G1
Department of Mathematics and Statistics, Acadia University, Wolfville, N.S. Canada, B4P 2R6
Abstract.
We study a class of bi-Lipschitz-invariant dimensions that range between the box and Assouad dimensions. The quasi-Assouad dimensions and -Assouad spectrum are other special examples. These dimensions are localized, like Assouad dimensions, but vary in the depth of scale which is considered, thus they provide very refined geometric information. Our main focus is on the intermediate dimensions which range between the quasi-Assouad and Assouad dimensions, complementing the -Assouad spectrum which ranges between the box and quasi-Assouad dimensions.
We investigate the relationship between these and the familiar dimensions. We construct a Cantor set with a non-trivial interval of dimensions, the endpoints of this interval being given by the quasi-Assouad and Assouad dimensions of the set. We study stability and continuity-like properties of the dimensions. In contrast with the Assouad-type dimensions, we see that decreasing sets in with decreasing gaps need not have dimension [math] or . As is the case for Hausdorff and Assouad dimensions, the Cantor set and the decreasing set have the extreme dimensions among all compact sets in whose complementary set consists of open intervals of the same lengths.
Key words and phrases:
Assouad dimension, quasi-Assouad dimension, box dimension, -spectrum, Cantor sets
2010 Mathematics Subject Classification:
Primary: 28A78; Secondary 28A80
The research of K. Hare is partially supported by NSERC 2016:03719. The research of F. Mendivil is partially supported by NSERC 2012:238549. I. García and K. Hare thank Acadia University for their hospitality when some of this research was done.
1. Introduction and main results
1.1. Introduction
Over the years, many notions of dimension have been introduced to help understand the geometry of (often ‘small’) subsets of metric spaces, such as subsets of of Lebesgue measure zero. Hausdorff, box and packing dimensions are well known examples of such notions. More recently, the upper and lower Assouad dimensions of a set , denoted and respectively, which quantify the ‘thickest’ or ‘thinnest’ part of the space, were introduced by Assouad in [1, 2] and Larman in [23]. Along with their less extreme versions, the upper and lower quasi-Assouad dimensions, and introduced in [4, 26], these dimensions have been extensively studied within the fractal geometry community; see for example, [5, 8, 11, 10, 12, 13, 14, 18, 22, 25, 27, 28] and the references cited therein. These dimensions can roughly be thought of as local refinements of the box-counting dimensions where one takes the most extreme local behaviour. The following relationships are known for all compact sets :
[TABLE]
where , , denote the Hausdorff, lower and upper box dimensions respectively. See [6, 8, 14, 26] for proofs.
In several recent papers, a range of intermediate dimensions have been introduced and studied. For instance, in [7], Falconer, Fraser and Kempton discussed a continuum of dimensions that lie between the Hausdorff and box dimensions. In [12, 13], Fraser and Yu focussed on the family of dimensions known as the upper (or lower) -Assouad spectrum, which lie between the upper (or lower) box and quasi-upper (resp., lower) Assouad dimensions. For further references, we refer the reader to Fraser’s survey paper [9].
In this paper, we study a general class of intermediate dimensions, which we refer to as the upper and lower -dimensions. These include the (quasi-) Assouad dimensions and -Assouad spectrum as special cases, with the box dimensions typically arising as a limit. More generally, the -dimensions provide a range of bi-Lipschitz invariant dimensions between the box, quasi-Assouad and Assouad dimensions. As the box and (quasi-) Assouad dimensions for a given set can all be different, the intermediate -dimensions provide more refined information about the local geometry of the set, such as detailed information about the scales at which one can observe extreme local behaviour.
Another motivation for us to investigate these intermediate dimensions was the classical problem of understanding the dimension of ‘rearrangements’ of Cantor sets. This problem was first considered by Besicovitch and Taylor in [3] for the Hausdorff dimension in the deterministic case and later by Hawkes in [19] for the random situation. In [16] we prove that if , then the upper and lower -dimensions of almost all (in a natural probabilistic sense) rearrangements of a given Cantor set are and [math] respectively, while if then almost all rearrangements have the same upper and lower -dimensions as the original Cantor set. The first case includes the Assouad dimensions and the second, the quasi-Assouad. In [30], Troscheit obtained similar results for other random constructions.
1.2. -dimensions
To explain these dimensions in more detail, we first recall that for the upper box dimension of a metric space one considers the minimal number of balls of radius that are required to cover the entire space say and computes the infimal exponent such that as . For the upper Assouad dimension of one determines, instead, the infimal such that
[TABLE]
for all and all centres . The lower Assouad dimension is a similar local variation of the lower box dimension. The quasi-Assouad dimensions are less extreme versions of the Assouad dimensions, requiring only that the bounds hold for where the exponent decreases to .
Fraser and Yu observed in [12, Section 9] that a rich dimension theory can be developed by considering decreasing continuous functions , choosing (or in our modified case) and studying the corresponding Assouad-like dimensions. In [10, 12, 13], Fraser et al studied the special case of for fixed , the so-called upper and lower -Assouad spectrum. As the upper (lower) -Assouad spectrum tends from below (resp., above) to the upper (resp., lower) quasi-Assouad dimension. As the upper -Assouad spectrum tends from above to the upper box dimension, while the lower -Assouad spectrum is dominated by the lower box dimension.
Motivated by the work of Fraser, we consider the quite general class of functions requiring only that decreases to [math] as The **upper and lower -dimensions **of , denoted by respectively, arise by restricting to . We refer the reader to Definition 2.2 for the precise definitions.
When we recover the Assouad dimensions and when we get the -Assouad spectrum. It will be shown that if as (and the upper (lower) -dimension is the upper (resp., lower) box dimension (Prop. 2.7), while if , then the upper (lower) -dimension coincides with the upper (resp., lower) -Assouad spectrum for (Cor. 2.11). Thus our main interest in this paper is in the case that (such as the function which appears naturally in the random problem) when we obtain a full range of intermediate dimensions between the quasi-Assouad and Assouad dimensions.
1.3. Summary of the main results
The primary purpose of this paper is to study the basic properties of these intermediate dimensions.
One easy property is that the upper -dimension is finitely stable, but the lower -dimension is not. See Proposition 2.4.
1.3.1. Relationship between dimensions
A natural question to ask is how the -dimensions compare, both with each other and to the familiar dimensions. Clearly, they are naturally ordered: If , then and vice versa for the lower -dimensions. Thus the upper (lower) -dimensions lie between the upper (lower) box and the upper (lower) Assouad dimensions.
Here is an overview of some of our main theoretical results on this question.
- (1)
If then the upper and lower -dimensions coincide with the upper and lower Assouad dimensions (respectively) for all sets . See Proposition 2.9. 2. (2)
The upper and lower quasi-Assouad dimensions are special examples of upper and lower -dimensions, but the choice of dimension functions will depend on the underlying set . See Proposition 2.14. 3. (3)
If as then the upper (and lower) and -dimensions coincide for all sets . See Proposition 2.10(i). 4. (4)
If there is a constant such that then there are sets with and . See Theorem 3.6. 5. (5)
Given any family of decreasing dimension functions, with for and given any decreasing, continuous function there is a set with for all . The analogous result holds for the lower dimensions. See Theorem 3.7. Hence there are subsets of with a full (non-trivial) interval of dimensions whose endpoints are given by the quasi-Assouad and Assouad dimensions. See Corollary 3.9. 6. (6)
It is known that the lower -Assouad spectrum of a set are not uniformly dominated above by the Hausdorff dimension. However for . See Proposition 2.15. 7. (7)
In [5] and [13], it is shown that both the upper and lower -Assouad spectrum are continuous in the parameter . More generally, if where is continuous and , then as and similarly for the lower dimensions. But this need not be true when . See Propositions 2.10(ii) and 3.4. This suggests that it may be difficult to find a one-parameter family of continuous dimension functions that interpolates precisely between the quasi-Assouad and Assouad dimensions.
1.3.2. Decreasing sets
In [15] it was shown that if is a decreasing sequence with decreasing gaps, then the Assouad dimension is either [math] or . Likewise, the quasi-Assouad dimension is [math] if and otherwise. In contrast, in Example 2.17 we construct a decreasing set with decreasing gaps and a dimension function with .
1.3.3. Cantor sets and Rearrangements
We give formulas for the -dimensions of Cantor-like sets, similar to those known for Hausdorff, box and Assouad dimensions, in Theorem 3.3. These are used in some of our constructions, such as in exhibiting sets with different values for various -dimensions as mentioned in (4) and (5) above. This approach was taken in [14] and [26] to construct sets with different box and (quasi-) Assouad dimensions, but new ideas are required here.
In [3], Besicovitch and Taylor proved that if is a Cantor-like set, then the interval is precisely the set of Hausdorff dimensions of ‘rearrangements’ of the sets whose complement consists of open intervals of the same lengths as the complementary intervals of . This was extended in [15] where it was found that the set of attainable lower (upper) Assouad dimensions was (resp., , with [math] (resp., being the lower (upper) Assouad dimension of the decreasing rearrangement. In Section 4, we study this problem for the -dimensions and show that under natural assumptions, the -dimensions of any rearrangement lies between the dimensions of the Cantor set and the decreasing rearrangement (whose upper -dimension could be . Further, for any (including the quasi-Assouad dimensions), this full range of values can be attained. New construction techniques are needed to do this. In [16] some of these results are used in studying the -dimensions of random rearrangements.
Acknowledgements
The authors are grateful to the referee for the valuable suggestions made to improve the clarity in the exposition of the paper.
2. Basic properties of the -dimensions
2.1. Definitions
We begin with notation and definitions. Let be a metric space.
Notation 1**.**
We denote the closed ball centred at with radius by . For a bounded set , the notation will mean the least number of balls of radius that cover .
Definition 2.1**.**
A map is called a dimension function if decreases as decreases to [math]. We write for the set of all dimension functions.
Of course, , so as for any dimension function . Special examples of dimension functions include the constant functions and the function .
Definition 2.2**.**
*Let be a metric space and . The **upper **and **lower -dimensions *of are given by
[TABLE]
and
[TABLE]
A standard argument based upon the relationship between balls in bi-Lipschitz spaces, shows that upper and lower -dimensions are preserved under bi-Lipschitz maps. We also note that, as with the box dimensions, a set and its closure have the same upper or lower -dimensions.
The upper and lower (quasi)-Assouad dimensions and spectrum can be expressed in terms of -dimensions.
Remark 2.3**.**
*(i) The upper **Assouad **and **lower Assouad dimensions *of , denoted and respectively, are the special cases of the upper and lower -dimensions with for all .
*(ii) The **upper *and lower -Assouad spectrum, and are the special cases of the upper and lower -dimensions with for all . To be precise, the upper and lower -Assouad spectrum introduced in [12] only required consideration of . However, it was shown in [10] that if we denote this dimension by then with the analogous statement proven in [5] (see also [18]) for the lower -Assouad spectrum.
*(iii) The upper quasi-Assouad and **lower quasi-Assouad dimensions *are given by
[TABLE]
where, again, . In Proposition 2.14 we will prove that the quasi-Assouad dimensions can also be obtained as -dimensions, but the choice of depends on the set .
We refer the reader to the references cited in the introduction of this paper for further background information on these various Assouad-like dimensions.
It is easy to see that whenever has an isolated point, thus we need not have if . This monotonicity property does, however, hold for the upper -dimension, as does finite stability. We show this first, along with bounds on the lower -dimension of finite unions.
Proposition 2.4**.**
(i) If , then . Indeed, for
[TABLE]
(ii) For all
[TABLE]
Proof.
(i) The fact that follows easily from the observation that if say then
[TABLE]
To see the reverse inequality, first note that
[TABLE]
Fix and assume and for small . Then there is a constant such that where . If is empty, then trivially
[TABLE]
Otherwise, there is some and as we have
[TABLE]
for . In either case, there is a constant such that
[TABLE]
for for all and , proving that .
(ii) The lower bound is obvious. For the upper bound, choose and such that where and is fixed. Choosing (if this set is non-empty), we have
[TABLE]
where and .
Remark 2.5**.**
We will always assume the underlying metric space is doubling, which means that there is a constant so that for any , each ball of radius can be covered with at most balls of radius . The least such is called the doubling constant of the space. This condition is equivalent to saying the space has bounded upper Assouad dimension, [20]. For example, if then .
The doubling assumption ensures that in the definitions of the -dimensions the covering number could be replaced by the packing number , the maximum number of disjoint balls of radius , centred in . This is because the packing and covering numbers are comparable:
[TABLE]
2.2. Relationships between dimensions
We begin by recalling the relationships between Assouad-like dimensions and various classical dimensions. We denote by , and the Hausdorff, lower box and upper box dimensions respectively. The box dimensions are defined for bounded sets and satisfy
[TABLE]
We refer to [6] for the definitions and basic properties of these dimensions.
Clearly we have the following relationships:
[TABLE]
and
[TABLE]
Since we obviously have
[TABLE]
and for closed sets it is also true that
[TABLE]
see [14] (and [24] for the earlier result, ). This inequality is not true in general, for example, if denotes the set of rational numbers in , then but .
Obviously, if for all , then
[TABLE]
Consequently, if as , then the -dimensions give a range of dimensions between the Assouad and quasi-Assouad type dimensions:
[TABLE]
Remark 2.6**.**
We remark that in Section 3 of this paper many examples are constructed which demonstrate strictness in these inequalities. These are based on the formulas given in Theorem 3.3 for the -dimensions of Cantor sets. The reader can also refer to [14, Ex. 16] or [26, Ex. 1.18] for similar constructions illustrating the strictness of the relationship between the quasi-Assouad and Assouad dimensions.
Here are some additional facts about the relationships between these dimensions.
Proposition 2.7**.**
(i) For any
[TABLE]
(ii) If as , then . If, in addition, then .
Remark 2.8**.**
Since if has an isolated point, it need not be true that under only the assumption that .
Proof.
(i) As our metric space is assumed to be doubling, we even have . Thus, we may suppose and for some . Given small , choose such that where . It is easy to see that
[TABLE]
If is small enough, then for some constant
[TABLE]
This implies , which is a contradiction.
The arguments are similar to show the lower box dimension is an upper bound on the lower -dimensions, but using packing numbers instead of covering numbers, both for the lower -dimensions and the lower box dimension.
(ii) If as then for any provided is sufficiently small. Thus the monotonicity of the -dimensions implies that if and , then The result for the upper dimension then follows since the upper -Assouad spectrum converges to as (), as a consequence of [10, Theorem 2.1] and [12, Proposition 3.1].
For the lower dimension case, suppose that and let be given. Since , we have
[TABLE]
as , provided . We note that for ,
[TABLE]
and thus for all such . This implies that . Since we know that , we obtain equality.
It is natural to ask when two dimension functions give rise to the same dimensions for all sets .
Proposition 2.9**.**
If there is some constant such that , then and .
Proof.
This is simply due to the fact that if , then there are positive constants such that for all .
Proposition 2.10**.**
(i) Suppose and as . Then and for all sets .
(ii) Assume is continuous at and . Suppose and put . For any set as . The same statement holds for the lower dimensions.
From (i), we immediately deduce the following.
Corollary 2.11**.**
If as for some , then for ,
[TABLE]
The proof of the proposition is an easy consequence of the estimates in the Lemma below.
Lemma 2.12**.**
Let and be dimension functions and assume that for some there exists such that for all .
(i) Choose , depending on , such that
[TABLE]
for all and . Then, there is a constant such that for any and we have
[TABLE]
(ii) Analogously, chose such that
[TABLE]
for all and . Then, there is some such that for any and , we have
[TABLE]
where is the doubling constant of the space.
Proof.
(i) Let and pick . If , then (2.1) follows by the definition of . Otherwise, , hence and therefore . Consequently,
[TABLE]
(ii) Now let and pick . Again, if , then (2.2) follows by the definition of . Otherwise, , hence so . Then,
[TABLE]
But with , and since the metric space is doubling with doubling constant , iterating this definition we have that each ball of radius can be covered by at most balls of radius . Therefore,
[TABLE]
Here the last inequality holds since .
Proof of Proposition 2.10.
(i) The assumption as ensures that for each there is some such that
[TABLE]
Thus (2.1) holds for all (where was introduced in Lemma 2.12) and that implies for any Hence . Since the roles of and can be interchanged because the condition is symmetric, the opposite inequality also holds.
The statement for the lower dimensions follows in the same way. Observe that by symmetry there is no need to consider separately the hypothetical case when one of the dimensions is zero.
(ii) Given choose such that
[TABLE]
for any . For each such , apply Lemma 2.12 to and .
In Proposition 3.4 we will see that the convergence of (ii) need not hold if .
Remark 2.13**.**
In order to apply Lemma 2.12 to prove the ‘continuity’ property of Prop. 2.10(ii) , it was necessary that the convergence of was uniform in . For instance, Lemma 2.12 cannot be applied to families such as with . We do not know if there is a one-parameter family of dimension functions which range continuously from the quasi-Assouad to the Assouad dimensions.
The quasi-Assouad dimensions can also be understood as special cases of -dimensions, but the functions need to be tailored for the specific set.
Proposition 2.14**.**
For any there are dimension functions (depending on which tend to [math] and satisfying and
Proof.
Since our choice of dimension functions will satisfy it will automatically be true that and . Thus we need only check the opposite inequalities.
First, consider the quasi-Assouad dimension. Put . By definition, for each , there are and such that for all and we have
[TABLE]
Put and inductively define a subsequence so that where, for notational convenience, we put and . Since , we also have hence there is some with .
We are now ready to define . For we put while for we define by the rule that . Observe that in either case, . It is straight forward to verify that the function decreases to [math] as decreases to and therefore is a dimension function.
If then and thus . This shows that tends to [math].
We will check that for any given . To do this, choose any , and . Find so so that . Thus and consequently, since ,
[TABLE]
completing the verification.
The argument for the quasi-lower Assouad dimension is the same, building using the fact that for each , there are and such that for all and we have
[TABLE]
and the proposition follows.
Although the lower -Assouad spectrum is bounded above by the lower box dimension, it is not always bounded above by the Hausdorff dimension. In fact, is not even bounded above by a uniform multiple of the Hausdorff dimension. This is a consequence of [13, Theorem 3.3] and [5]; see particularly the comments in [13] following the statement of the theorem.
However, we have the following relationship between the lower -Assouad spectrum and the Hausdorff dimension that does not seem to have been previously observed. This follows easily from [14] where it was shown that for closed subsets but the same proof is valid for closed subsets in a doubling metric space.
Proposition 2.15**.**
If is a closed subset of , then for any .
Proof.
Fix and recall that for . If there is nothing to prove, so assume for some .
The doubling property implies that the covering numbers, can be replaced by the packing numbers, in the definition of the -dimensions. Thus we can pick such that for any and any
[TABLE]
In particular, .
In [14, Proposition 10], it is shown that under this assumption, there is a probability measure supported on and a constant such that
[TABLE]
for all Borel sets . But then the mass distribution principle (see [6, Proposition 2.1]) implies . As this is true for all it must be that .
Corollary 2.16**.**
If is a closed set and as then .
2.3. Dimensions of decreasing sequences
In [14] and [15] it was shown that if is a decreasing sequence with the sequence of ‘gaps’, also decreasing, then both the upper Assouad and upper quasi-Assouad dimensions of are either [math] or . The upper Assouad dimension of such a set is [math] if and only if the sequence of gaps is lacunary. Likewise, the upper quasi-Assouad dimension is [math] if and only if .
This dichotomy fails for the upper -dimensions. Indeed, if we choose for all , it follows from [10] and [12, Theorem 6.2], that
[TABLE]
Therefore, if . However, in this case the upper -dimension is bounded above by the upper quasi-Assouad dimension, and necessarily .
More interestingly, the dichotomy fails also for upper -dimensions that lie between the upper quasi-Assouad and upper Assouad dimensions. Indeed, we have the following.
Example 2.17**.**
There is a decreasing set , with decreasing gaps, and a dimension function with and but with .
Construction.
Let where . Define by the rule and extend to by setting if . We will verify that and have the stated properties. Of course, if as then we must have and thus the properties and will follow once we have shown that tends to [math] and .
The fact that is a decreasing set follows from the fact that the function has negative derivative. Similarly, can be seen to be decreasing by checking the function has negative derivative for large . Thus is a dimension function. One can directly calculate and see that . That shows as .
From the derivative of the function one can also confirm that the sequence is decreasing. An application of the mean value theorem shows that for some and thus
[TABLE]
This shows that if we take and put
[TABLE]
then
[TABLE]
Because the gaps are decreasing in length, whenever and whenever . Consequently,
[TABLE]
and hence for large enough ,
[TABLE]
Since
[TABLE]
we deduce that .
A similar statement holds for any with . More generally, there are constants such that if
[TABLE]
where with and then
[TABLE]
and
[TABLE]
Thus, for , we get
[TABLE]
and the last quotient is bounded away from [math].
If then since we make a similar argument. Finally, we note that if then the decreasingness of the gaps means
[TABLE]
Thus .
Remark 2.18**.**
It is an open problem to characterize the dimension functions for which the dichotomy holds.
3. Examples of -dimensions
In this section we will construct various examples. These will show the sharpness of some of the basic properties, such as Proposition 2.10, as well as illustrating their distinctness. In particular, we will give an example of a set with specified values for a countable family of -dimensions and whose set of all dimensions between quasi-Assouad and Assouad is an interval.
In all these examples, the set will be a Cantor set, by which we mean a perfect subset of of Lebesgue measure zero, that has a construction as outlined below. We begin this section by determining a formula for the -dimension of Cantor sets. It will be convenient to make use of the following notation.
Notation 2**.**
We write if there are positive constants such that for all . The symbols and are defined similarly.
3.1. -dimensions of Cantor sets
Given a decreasing, summable sequence, with by the Cantor set associated with , denoted by we mean the compact subset of constructed as follows: In the first step, we remove from an open interval of length , resulting in two closed intervals and . Having constructed the -th step, we obtain the closed intervals contained in . The intervals are called the Cantor intervals of step . The next step consists in removing from each an open interval of length , obtaining the closed intervals and . We define
[TABLE]
This construction uniquely determines the set because the lengths of the removed intervals on each side of a given gap are known. The classical middle-third Cantor set is the Cantor set associated with the sequence where if . All associated Cantor sets are uncountable, compact, totally disconnected and, in fact, are all homeomorphic.
If we put
[TABLE]
then is the average length of the Cantor intervals of step . The decreasing property of the sequence ensures that all the intervals of step have lengths satisfying
[TABLE]
and that . Of course, always .
When the gap sizes for all , the intervals at step all have the same length (namely ), and the Cantor set is sometimes called a central Cantor set. The classical middle-third Cantor set is such an example. In this case, the ratio is referred to as the ratio of dissection at step (or level) .
We will assume the sequence is doubling, meaning there is a constant such that for all . This ensures that
[TABLE]
since
[TABLE]
Thus under the doubling assumption we have . It is easily seen that such a Cantor set is uniformly perfect, where we recall that a set is called uniformly perfect if there is a constant so that for every and we have whenever . A set is uniformly perfect if and only if [21], and consequently, whenever is a doubling sequence.
For Cantor sets, it is helpful to understand the comparison in terms of the sequence . For this we introduce the following notation.
Notation 3**.**
Given and a doubling, decreasing, summable sequence define the associated depth function by the rule that is the minimal integer such that .
In other words, is the minimal integer with . We remark that depends on both and the underlying Cantor set (or, equivalently, the sequence ). We will frequently refer to as a dimension/depth function pair associated with the Cantor set.
If is bounded, then the sequence is bounded away from [math]. The decreasingness of the function implies that if , then
[TABLE]
Hence if is bounded, then Proposition 2.9 implies the upper (or lower) -dimension coincides with the upper (resp., lower) Assouad dimension.
A very useful observation for constructing examples is to note that if is any Cantor set with and , and is a dimension function with associated depth function with respect to , then we have
[TABLE]
This is because the doubling property ensures
[TABLE]
If, in addition, (as is typically the case in interesting examples), then we see that is comparable to with constants depending only on because
[TABLE]
Remark 3.1**.**
Notice that if we are given an increasing function , and a Cantor set we can define a function by the rule if . If with and , then so and hence . Consequently, . Furthermore, as and hence as . Thus is a dimension function with associated depth function .
Corollary 3.2**.**
(i) If , then and .
(ii) The quasi-Assouad dimensions are obtained by taking and letting .
Proof.
These follow from the fact that . The statement in (i) about the lower dimension follows from Proposition 2.7 (ii), since because is uniformly perfect.
More generally, we have the following formulas for the -dimensions of Cantor sets.
Theorem 3.3**.**
Let be a decreasing, summable, doubling sequence and the associated Cantor set. The upper and lower -dimensions of are given by
[TABLE]
and
[TABLE]
The proof is omitted as the arguments are similar to those given in [15] for Assouad dimensions and in [5] and [26] for the quasi-Assouad dimensions.
3.2. Basic properties revisited
With the formulas for the -dimensions of Cantor sets, it is easy to give examples of sets with any specified -dimension in . The key idea is that if is a central Cantor set with ratios of dissection at step and there is an increasing sequence of integers (possibly even very sparse) such that for all and otherwise, then where is a dimension/depth function pair associated with . A similar idea can be applied for the lower -dimension.
In this subsection we will use this principle to obtain (partial) converses to Proposition 2.10. First, we will show that the continuity properties described in Proposition 2.10(ii) can fail when .
Proposition 3.4**.**
Suppose is an increasing depth function tending to infinity, but with as . There is a central Cantor set such that if is the dimension function associated with the depth function (and Cantor set ) and then , but
Proof.
Choose from (3.1) such that if is a Cantor set with and is any dimension/depth function pair associated with then
[TABLE]
In particular, this holds for the depth function and any associated dimension function , and also for the depth function associated with . Without loss of generality we can assume for all and therefore for all
[TABLE]
That shows that for each there is some such that if , then . Thus we also have for all and therefore with the constant (and any such Cantor set ) we have
[TABLE]
To construct the Cantor set , we will first choose an integer-valued function with as . Then choose an increasing sequence of integers with and satisfying
[TABLE]
The Cantor set will be defined by setting the ratios of dissection to be on steps for all and equal to on all other levels. Certainly, .
Let denote the ratio of dissection at step . Our choice of ensures that if and then at least as many as are equal to for ranging over . Hence the geometric mean of these ratios is at most . The same conclusion clearly also holds if .
In order to bound we use formula (3.3), noting first that it suffices to consider where and . If for some , then as is increasing and
[TABLE]
By our previous remark, . The same bound clearly holds if does not belong to any such interval. Consequently, (3.3) implies . By monotonicity, for all
Remark 3.5**.**
We remark that a similar argument could be used to prove that there is a central Cantor set and dimension function so that . One could also similarly arrange for , but and likewise for the quasi-lower Assouad dimension.
We will use a similar technique to obtain a partial converse to Proposition 2.10.
Theorem 3.6**.**
Suppose are dimension functions decreasing to [math] as with as . Assume there is some such that for all sufficiently small. Then there is a Cantor set such that and a Cantor set with .
Proof.
We will give the proof for the upper -dimension. The lower -dimension case is similar.
The monotonicity property of the -dimensions implies that for all sets . It is the strictness of the inequality that we need to verify for an appropriate choice of .
The strategy of the proof will be to build a central Cantor set by inductively specifying the ratios of dissection at each level. For most levels, the ratio will be a fixed small number, say . However, we will specify the ratios to be a fixed number on the levels where is the depth function associated with and the Cantor set, and is a sparse set. By consideration of (the geometric mean of the ratios at levels ) and the formula for the -dimensions of Cantor sets from (3.3), we have . However, these depths will be too shallow to give the -dimension and consequently we will be able to conclude that .
One complication with this strategy is that the depth functions depend on the construction of the Cantor set. However, our construction of the Cantor set depends (at least, to some extent) on the depth functions. Fortunately, we do have enough control on the depth functions to overcome this complication. We address this issue first.
Fix small such that
[TABLE]
Choose with . It follows from (3.1) that if is any Cantor set with all ratios between and and any dimension/depth function pair associated with , then
[TABLE]
By assumption, given any there is some such that if then . Choose such that . Since the functions are decreasing as it follows that if and is a Cantor set with all ratios of dissection at least then and hence if we take a suitable choice for depending on and . Coupled with the right hand side of (3.5), this shows that for all
[TABLE]
and hence for . Consequently, using the left hand side of (3.5) we also have
[TABLE]
As , this further ensures that there exists such that
[TABLE]
We remind the reader that having fixed and these inequalities and the choices of and depend only and for any choice of Cantor set, provided the ratios of dissection are chosen from . As we will see, these relationships give us enough control on the depth functions.
**Construction of the Cantor Set: **
We will continue to use the notation from above. Let and choose . We will inductively define a central Cantor set by specifying the ratios of dissection at each level . To begin, we put for . Thus . Define to be the least integer with and let for . Notice that this construction means , thus . We put for .
Now we proceed inductively. We assume integers have been chosen in the same way and we have put if for and otherwise on . Thus is determined. Define to be the least integer satisfying . We will put if and on . Again . This completes the construction of .
Verification of the -dimensions:
The fact that the ratios equal on the consecutive levels for all and are equal to otherwise, certainly means
Since and is decreasing, the choice of gives that for each and
[TABLE]
Since the sequence is decreasing (for any dimension function ), for any , and associated depth function we have
[TABLE]
by the definition of . That means , and as these are integers this implies, in particular, that for
[TABLE]
for all . As (3.2) holds for , this gives
[TABLE]
Since for all and we also know that
[TABLE]
In particular, this guarantees that if , then . Together with (3.8), it follows that for such there are at least ratios equal to and at most ratios equal to on the levels . Hence the geometric mean of these ratios is dominated by
[TABLE]
If , the choice of ratios ensures that there could only be an even greater proportion of the ratios on the levels having value . Thus we can conclude that the geometric mean of the ratios from the levels is also dominated by whenever and
If for any , then it is obvious from the construction that, on the levels (for any ), there are at least as many ratios equal to as equal to , and hence the geometric mean is even smaller.
We deduce that
[TABLE]
which concludes the proof.
A modification of this argument would allow us to show that given there is an example of a Cantor set where
[TABLE]
To do this, we will choose . Then, instead of assigning ratio on the levels and otherwise, we will put ratios on levels , ratios on levels and ratio elsewhere. The choice of sequence may need to be even more sparse to ensure that is sufficiently large in comparison with to guarantee that the geometric mean of ratios from any consecutive levels beginning at is at most . The fact that the ratios at levels are equal to implies that . From their values on levels one can deduce that . The details are left for the reader.
A further modification of the argument would also enable us to construct a (single) Cantor set with both and .
3.3. Continuum of -dimensions
In the next result we use the method described in the previous remark to show that we can construct a Cantor set with countably many specified values for -dimensions. Furthermore, there is a Cantor set with a continuum of -dimensions between the quasi-Assouad and Assouad dimensions.
Theorem 3.7**.**
Assume that for each are dimension functions decreasing to [math] as and satisfying as . Assume, also, that
[TABLE]
Choose any and suppose is monotonically decreasing and continuous. Then there is a central Cantor set with
[TABLE]
The analogous result holds for the lower -dimensions.
Remark 3.8**.**
An example of a class of dimension functions that satisfy the conditions of the theorem are the functions .
Proof.
We will construct a central Cantor set with the property that if is monotonically decreasing, then for every rational . To obtain the theorem, put and define the decreasing continuous function by . The proof follows from this property using the monotonicity of the functions and the fact that the function of the theorem is assumed to be continuous and decreasing.
As in the proof of the previous theorem our strategy will be to inductively define the ratios of dissection of the Cantor set. These ratios will lie in and so by (3.1), with we have
[TABLE]
for any dimension function and corresponding depth function associated with such a Cantor set.
Since for each there is a choice of such that if and then for a suitable constant . Consequently, as , we will have for all , (whatever the choice of as long as the ratios lie between and ). Thus with and
[TABLE]
As decreases to [math], there is also an index such that
[TABLE]
As in the proof of Theorem 3.6, we will pick a sparse sequence and assign ratios except on the levels where the ratios will be Each must occur as an infinitely often so that we will have The numbers will need to be sufficiently sparse so that if this length of levels (where the ratio exceeds ) is too short to influence the calculation.
Construction of the Cantor set:
To begin, we list as where each rational number is repeated infinitely often in . To start the construction of pick . We will set the ratios of dissection to be on the levels . Choose the minimal integer such that and put . Set the ratios equal to on the levels and on the levels .
Notice that and the choice of ensures that
[TABLE]
We proceed inductively and suppose we have chosen for , (with the properties described below) and have specified that the ratios of dissection on levels should be except on the levels for when they will be
Now pick large enough to satisfy the following conditions:
(i) and
(ii) if and then
[TABLE]
which can be done since as .
We will assign ratio on levels , so and that means (ii) actually says
[TABLE]
Choose the minimal integer such that put and assign the ratios on levels to be and the ratios on the levels to be
Note that and property (i) in the definition of together with (3.9) and (3.10), ensures . In particular, and .
This completes the construction of .
Verification of the -dimensions:
We now need to verify that we obtain the desired value for each . We can easily see that by noting that
[TABLE]
for the infinitely many choices of . So we only need to prove the other inequality.
Assume the first occurrence of in is with . It will be enough to show that whenever and . In other words, we want to prove that the geometric mean of the ratios is at most for all and . A key point to observe is that the geometric mean of any collection of ratios where there are at least as many ratios equal to as otherwise, is at most for any .
Given choose such that . If either or then this is the situation with respect to the ratios (regardless of the size of ), so the geometric mean is suitably small.
Thus we can assume . If then and hence all ratios from are at most . In this case it is clear that the geometric mean of the collection where is at most . If then the set of ratios contains more ratios equal to than otherwise, so its geometric mean is even at most and thus the geometric mean of the full collection is at most .
The last case to consider is that for this choice of (which we remind the reader is , we have and therefore . From (3.11), we note that
[TABLE]
The remaining arguments are now similar to the proof of Theorem 3.6. Recall that . If , then so
[TABLE]
The fact that also guarantees that so . Thus the collection contains at most terms of ratio and at least terms of ratio and therefore has geometric mean at most .
If, instead, then, as in the proof of Theorem 3.6 (see particularly (3.7)),
[TABLE]
where the final inequality comes from applying (3.12) with . Again,
[TABLE]
and thus again we deduce that the geometric mean of is at most .
For either choice of , if then since the collection of ratios has more that are value than otherwise, and hence has geometric mean at most as well. Thus we conclude in this (final) case.
This completes the proof.
Corollary 3.9**.**
Given there is a set such that
[TABLE]
Proof.
Let , . We will let for . Clearly,
[TABLE]
so it will be sufficient to construct a set with and . The previous theorem would permit us to construct such a set satisfying the first property and would also have . However, its quasi-Assouad dimension is so we need to modify the construction slightly.
We can do this by requiring the sequence to grow so rapidly that in addition to the requirements from before, we can also have much greater than and much greater than . On the levels we will set the ratios to equal to (rather than ). One can see that by considering the terms . The sparseness of the will ensure that the other dimensions are not affected by this change. We leave the technical details to the reader.
4. -dimensions of complementary sets in
4.1. Bounds for -dimensions of complementary sets
4.1.1. Complementary sets
Every closed subset of the interval of Lebesgue measure zero is of the form where is a disjoint family of open subintervals of whose lengths sum to one. We will let where is the length of . Of course, and without loss of generality we can assume . We will denote by the collection of all such closed sets . These are called the complementary sets of .
One example of a complementary set is the Cantor set associated with denoted . Another is the countable set, called the decreasing rearrangement, defined as
[TABLE]
As is well known, all complementary sets of a given sequence have the same upper and lower box dimensions [6, Section 3.2], but, of course, this need not be true for other dimensions. For instance, the Hausdorff dimension of the decreasing rearrangement is [math], but this need not be true for the Cantor set. In [3], Besicovitch and Taylor proved that the Cantor set had the maximum Hausdorff dimension of any set in . Further, they showed given any there is some set with . The same result was shown to be true with the Hausdorff dimension replaced by the packing dimension in [17]. In [15], it was shown that the Cantor set and the decreasing set also have the extremal Assouad dimensions (under natural assumptions on the gap sequence ). But unlike the situation for Hausdorff, packing and lower Assouad dimensions, is minimal among the sets in and is maximal (and equals for such ). Again, it was shown that the full range of possible dimensions is attained, namely and .
In this section, we will prove analogous results for the -dimensions, although some proofs are necessarily quite different.
4.1.2. Decreasing rearrangement
We first prove that the decreasing rearrangement is always one of the extreme values of the -dimension over the class . This requires a proof in the case of the upper -dimension as this dimension need not be one, c.f., Example 2.17. To begin, we first point out the following elementary result which essentially can be found in [6].
Lemma 4.1**.**
Suppose are two compact sets in for some decreasing, summable sequence . For any ,
[TABLE]
Proposition 4.2**.**
If is any decreasing, summable sequence, then and \dim$${}_{\Phi}E\geq for all .
Proof.
As has isolated points, for all dimensions functions and hence is the minimal lower -dimension.
To prove that is the maximal upper -dimension we will simply show that
[TABLE]
for all and .
To see this, let be the set of gap lengths that are completely contained in and let . Then for a suitable interval of length . Let denote the set formed by removing from the gaps of lengths in decreasing order (from right to left). By Lemma 4.1, .
Choose such that and suppose that
[TABLE]
(we will say that belongs to gap in the set ). If then all gaps in the construction of intersecting have length at most . Thus is the maximum possible value and hence it dominates .
So assume and let . As for and for ,
[TABLE]
(where is empty if ).
Assume that the number belongs to gap in the set so
[TABLE]
Since , it follows that and consequently, for all . Thus if then
[TABLE]
This contradiction proves . Thus
[TABLE]
from which it is easy to check that
[TABLE]
and the proposition follows.
4.1.3. Cantor Sets
We now focus our attention on decreasing, summable sequences with the property that there are constants and with
[TABLE]
Here, as before, . We will call a sequence with this property level comparable. Of course, the doubling assumption automatically gives the left hand inequality and central Cantor sets have the level comparable property precisely when their ratios of dissection are bounded away from [math] and .
The level comparable assumption is very useful as it ensures that since and
[TABLE]
We remind the reader that the symbols and were defined in Notation 2.
For level comparable sequences, the Cantor set has the other extreme value for the -dimensions.
Theorem 4.3**.**
If is a level comparable sequence and is a dimension function, then for all we have and .
Proof.
We begin with the upper -dimension. Observe that if is bounded, then the upper -dimension is the Assouad dimension and the result is already known in that case, see [15, Thm. 3.5]. So assume otherwise. Some modifications to the proof of Theorem 3.5 in [15] are required.
Let . From the formula for the upper -dimension of Theorem 3.3, we know there must exist and indices and such that
[TABLE]
where the latter inequality holds because for all .
We will refer to the complementary gaps of lengths as the gaps of level .
Remove from the complementary gaps of levels to obtain the set singletons} where are non-trivial, closed, disjoint intervals, and . Let denote the number of gaps of step contained in and put . If we let be an endpoint of , then as the gaps of step are at least in length, . Since
[TABLE]
Let
[TABLE]
If there is some index with , then
[TABLE]
Otherwise,
[TABLE]
Since we can assume . Recall that thus
[TABLE]
An application of Holder’s inequality gives
[TABLE]
with the final inequality arising because and . It follows that in this case there must be some choice of such that
[TABLE]
By definition, implies and thus .
As either (4.3) or (4.4) must hold, we deduce that and that gives the desired result.
The proof for the lower -dimension is a straightforward modification of Theorem 4.1 of [15].
Combining Proposition 4.2 and Theorem 4.3 gives the following statement.
Corollary 4.4**.**
If is any level comparable sequence, then for all we have and \dim$${}_{\Phi}E\in\left[0,\underline{\dim}_{\Phi}C_{a}\right]. In particular, these statements are true for the quasi-Assouad dimensions.
4.2. An interval of -dimensions for complementary sets
In [15] it was shown that if is any level comparable sequence, then for every and there are sets with and .111Actually, the assumption that is doubling suffices for the upper Assouad dimension. These results continue to be true for the quasi-Assouad and -dimensions when , with . For the lower -dimensions essentially the same proof as given in [15] for the lower Assouad dimension works. We give a brief sketch of the main idea at the beginning of the proof of Theorem 4.5.
For the upper -dimension, note that the case is trivial since we recover the upper box dimension and all complementary sets of a given sequence have the same upper box dimension. Different proofs are required for the cases for or , and these are necessarily different from the proof given for the Assouad dimension in [15] as the set constructed there only exhibits large local ‘thickness’ on scales that are nearly as large as and hence are not suitable for use in obtaining these other dimensions.
Theorem 4.5**.**
Suppose is a level comparable sequence and is a dimension function with , for some . Then for every and there are sets with and . A similar statement holds with replaced by and replaced by .
Remark 4.6**.**
We remind the reader that for any doubling sequence (and hence any level comparable sequence) and any dimension function , we have and thus by [14].
Combining this result with Theorem 4.3 gives the following.
Corollary 4.7**.**
Suppose is any level comparable sequence and is a dimension function with . Then
[TABLE]
and
[TABLE]
Proof of Theorem 4.5.
For the lower dimension case, the same proof given in [15, Theorem 4.3] for the lower Assouad dimension, with the obvious modifications, works for the lower -dimensions and the lower quasi-Assouad dimension. A sketch of the proof is that for , it is possible to find a subsequence of whose Cantor rearrangement is an -Ahlfors regular set and such that the Cantor rearrangement of the remaining gaps has lower -dimension equal to . This gives a complementary set with .
For the upper -dimension problem, we first remark that if , then and all sets have the same upper box dimension.
Thus it remains to study the upper -dimension problem when . We will first give the proof for the case , where we can take advantage of an explicit formula for the -dimension of the decreasing rearrangement. The harder case, , will be done second.
Case .
According to Corollary 2.11, for all , where . Observe that for any decreasing set ,
[TABLE]
This follows from [12, Theorem 6.2] and [10, Theorem 2.1].
Given any , we will use the above formula to construct a subsequence of such that if is the subsequence obtained after removing from , then and . The set will belong to and by the union property, its upper -dimension will be given by
[TABLE]
which will prove the statement of the theorem.
Let . By [29, Section 3.4] we have
[TABLE]
where is chosen to be a suitable sequence, say . Choose such that and define the subsequence by
[TABLE]
Note that for the integers where we have , so
[TABLE]
Moreover, for we have for all large enough, so for large , with ,
[TABLE]
Therefore, , and by (4.5) .
Finally, note that as increases. As the original sequence was doubling, this ensures that the sequence consisting of the remaining gaps is comparable to the original sequence . In consequence, and, as we noted above, that completes the proof in this case.
Case .
We will give a detailed proof for the quasi-Assouad dimension. It will be clear that the same arguments will work for the upper -dimension with . Our proof is constructive. The set will again have the form , with equal to the desired in-between value and . The union property for the quasi-Assouad dimension will ensure that has the desired quasi-Assouad dimension.
If is the sequence with for , then are comparable sequences and if is the set formed with some rearrangement of and is the corresponding rearrangement of then and are bi-Lipschitz equivalent. So without loss of generality we will assume is constant along diadic blocks. Moreover, a level comparable sequence has the property that there are constants such that
[TABLE]
If , there is nothing to do. So assume say where .
To simplify the notation, we will let . Temporarily fix . Given choose the minimal index such that and choose the maximal integer such that
[TABLE]
The minimality of ensures that
[TABLE]
which implies
[TABLE]
Similarly, the maximality of means that
[TABLE]
so
[TABLE]
where is independent of and . Moreover, the fact that , coupled with the definition of implies
[TABLE]
where we again note that are positive constants, independent of and .
Construction of the set :
We now form a Cantor-tree like arrangement with blocks of gaps. The first block will consist of gaps of length placed adjacently. The blocks of level 2 will each consist of gaps of length placed adjacently and there will be two blocks of level 2, one to the left and the other to the right of the block of level 1. In general, there will be blocks of level each consisting of gaps of length placed in a Cantor-like arrangement. If we do this for , we will call the resulting finite set . Note that the length of any block of level in is equal to and satisfies
[TABLE]
Hence the diameter of is at least the length of block 1 which is and the diameter of is at most
[TABLE]
Since , for each the number of gaps of length that we will require is
[TABLE]
As and we have . Of course, for each there are a total of gaps of this size available in the sequence , so we have enough gaps, even twice as many as we need, provided
[TABLE]
Hence there is some (and independent of such that if , then there will be enough gaps to carry out this construction.
Lastly, we will select a rapidly growing sequence of integers and let . We will set . We will want to be much larger than so that we will not use any gaps from the same diadic blocks in two different sets . Also, we will want to choose increasing so rapidly that the diameter of is at most diameter of .
We will position the sets adjacent to each other in decreasing order and let
[TABLE]
The gaps of the sequence that were not used in the construction of the sets will be then placed to form a Cantor set to the left of . This completes the construction of the set .
Computation of :
Since there are at least half the gaps left in each diadic block, the decreasing sequence consisting of the remaining gaps is comparable to the original sequence. Hence . Thus, to see that the rearranged set has quasi-Assouad dimension it will be enough to prove .
(a) Lower bound for :
We will let denote the diameter of a set .
To see that , consider (by (4.7)) and length of block of level in , so that (by (4.6)). Notice that if (independent of ) is chosen such that then as for sufficiently large
[TABLE]
If we let then since the blocks of level are separated by at least , while . In order for there to be a constant such that for all , we must have . This shows
(b) Upper bound for :
For this, we will prove the following claim.
Claim 1**.**
There is a constant independent of such that
[TABLE]
for all and all .
Assuming the claim, we can even prove that : Take . Suppose and that
[TABLE]
Then can intersect at most two (consecutive) sets for (say as well as possibly . Assume
[TABLE]
where, of course, . Since , one ball of radius will cover . As , from (4.8) we have
[TABLE]
(where the sum is empty if ). Since for , from (4.8) we again see that
[TABLE]
That proves that and hence .
Proof of Claim:
Choose such that the diameter of for all . Temporarily fix . Choose and .
First, suppose there is some such that
[TABLE]
(in particular, . If then is smaller than the smallest block in and thus can intersect at most two blocks in . As there are at most gaps in each block,
[TABLE]
Hence assume . Then is less than the length of any block of level and thus can intersect at most two (consecutive) blocks of level as well as the interval in-between (where an in-between interval could mean the interval between the left or right-most block of level and the endpoint of the set . The points in from the two blocks of level at most can be covered by balls of radius hence
[TABLE]
Notice that the interval will contain (at most) blocks of level . Also, observe that the interval between two consecutive blocks of level (should it exist in has length at most
[TABLE]
Thus if
[TABLE]
then each such subinterval can be covered by one ball of radius . There are at most such subintervals contained in . Additionally, the points in from each of the blocks of levels contained in can be covered by balls of radius and there are such blocks. So
[TABLE]
Thus for such we certainly have
[TABLE]
for a suitable constant (recalling that and ).
If (4.9) does not hold, we must have
[TABLE]
Then is covered by a bounded number (independent of of balls of radius and that also suffices to prove
[TABLE]
for these
Otherwise, . If (still) then we argue similarly, taking as the full set . Finally, suppose . Then
[TABLE]
where . As the previous work shows
[TABLE]
This completes the proof of the claim.
Conclusion of the proof for general case of :
Lastly, we remark that the same arguments show that if then for each there is some with , so that also . Further, and thus by the union result, Proposition 2.4. Since we have the proof is complete when .
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