Transcendental Julia Sets with Fractional Packing Dimension
Jack Burkart

TL;DR
This paper constructs new examples of transcendental entire functions with Julia sets having packing dimensions strictly between 1 and 2, demonstrating the diversity of fractal dimensions in complex dynamics.
Contribution
It introduces the first known examples of transcendental Julia sets with non-extreme packing dimensions and shows these dimensions are dense in (1,2).
Findings
Julia sets with packing dimension in (1,2) constructed.
Packing dimensions are dense in the interval (1,2).
Hausdorff dimension can be arbitrarily close to packing dimension.
Abstract
We construct a family of transcendental entire functions whose Julia sets have packing dimension in . These are the first examples where the computed packing dimension is not or . Our construction will allow us further show that the set of packing dimensions attained is dense in the interval , and that the Hausdorff dimension of the Julia sets can be made arbitrarily close to the corresponding packing dimension.
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Transcendental Julia Sets with Fractional Packing Dimension
Jack Burkart
Department of Mathematics, Stony Brook University, Stony Brook, NY 11794
Abstract.
We construct a family of transcendental entire functions whose Julia sets have packing dimension in . These are the first examples where the computed packing dimension is not or . Our construction will allow us further show that the set of packing dimensions attained is dense in the interval , and that the Hausdorff dimension of the Julia sets can be made arbitrarily close to the corresponding packing dimension.
1. Introduction
Let be a transcendental (non-polynomial) entire function. We denote the th iterate of by . We define the Fatou set, , to be the set of all points so that locally forms a normal family. Thus the Fatou set is the “stable” set for the dynamics of . We define the Julia set, , to be the complement of the Fatou set. This is the set where the dynamics of are chaotic. A primary aim of complex dynamics is to study the geometric and topological properties of the Julia set. We refer the reader to [CG93] and [Sch10] and for an introduction to complex dynamics the rational and transcendental setting, respectively.
In this paper we prove the following theorem.
Theorem 1.1**.**
There exists a transcendental entire function such that the packing dimension of .
Our techniques generate a family of entire functions, and we actually have the following stronger result.
Theorem 1.2**.**
The set of packing dimensions attained is dense in . In particular, let and be given. Then there exists a transcendental entire so that
[TABLE]
In [Bak75], Baker proved that the Julia set of a transcendental entire function must always contain a compact connected set, and it follows immediately that the Hausdorff dimension of the Julia set must always be greater than or equal to . In [Mis81], Misiurewicz showed that the Julia set of was the entire complex plane, and in [McM87] McMullen showed that the Julia sets of the exponential and sine families of entire functions always have Hausdorff dimension , but need not be all of . These examples can also have positive or zero area measure. Reducing the dimension of the Julia set is therefore the difficult task in the transcendental setting, and in [Sta91], Stallard constructed examples in the Eremenko-Lyubich class that had Hausdorff dimension arbitrarily close to , and refined this result further in [Sta97] and [Sta00] to include all values in . Moreover, in [Sta96], Stallard showed that in the Eremenko-Lyubich class the Hausdorff dimension must be strictly greater than . Recently, in [Bis17], Bishop constructed a transcendental entire function with Julia set having Hausdorff dimension . This example demonstrates that all values of Hausdorff dimension in can be achieved.
Less is known about the packing dimension in the transcendental setting. In [RS05], Rippon and Stallard show that if belongs to the Eremenko-Lyubich class, then the packing dimension of the Julia set is . Bishop computed the packing dimension of the Julia set of his example above to be 1. Our result is the first of its kind where the computed packing dimension is strictly between and . Packing dimension and other various dimensions relevant to the paper are defined in Section . Figure below summarizes what have been proven about the possible Hausdorff and packing dimensions attained by transcendental entire functions.
We would like to point out how our construction differs from the constructions cited above. Since Stallard’s examples belong to the Eremenko-Lyubich class, the packing dimension of those Julia sets must be , even though the Hausdorff dimension can attain any value in . The dynamical behavior of our examples is also much different; our functions have multiply connected Fatou components which do not occur in the Eremenko-Lyubich class. Stallard uses a family of functions defined via a Cauchy integral, whereas we use an infinite product construction similar to Bishop. Our example differs from Bishop’s because not all of the Fatou components will be multiply connected. Instead of basing our construction off of a polynomial whose Julia set is a Cantor set, we base ours off of a polynomial whose Julia set is a quasicircle. It will follow that the entire function we construct also has Fatou components which get mapped onto an attracting basin whose boundary is a quasicircle. The multiply connected components of the Julia set will accumulate onto the boundary of these quasicircles, so that they are no longer close to being round everywhere. Bishop’s techniques need to be extended to deal with both the copies of the attracting basin and the multiply connected Fatou components that are no longer round.
Finally, in his lecture at the 2019 Postgraduate Conference in Complex Dynamics, David Sixsmith asked what the possible dimensions of the bungee set are for a transcendental entire function. The bungee set is definied in Section 14, and we refer the reader to [OS16] for the basic properties of . We are able to prove the following theorem.
Theorem 1.3**.**
Given and , the function may be defined so that . In other words, the possible dimensions of are dense in .
The author would like to thank Chris Bishop for suggesting this problem and for many useful conversations, suggestions, and for reading and offering detailed feedback on earlier drafts. David Sixsmith found many mistakes and typos and offered suggestions that greatly improved the exposition of this paper. The author would also like to thank Misha Lyubich, Lasse Rempe-Gillen, Gwyneth Stallard, and Phil Rippon for helpful discussions.
2. Outline of the Proof
We will construct a function depending on parameters , , and in the main cardiod of the Mandelbrot set. Define The function will be an infinite product of the form
[TABLE]
Here, , and the sequence grows superexponentially and is defined inductively starting from a large initial parameter . The choices are made so that near the origin, the infinite product can be made uniformly close to the constant function . We write the infinite product as to emphasize this fact, where is a holomorphic function uniformly close to the [math] function in a large neighborhood of the origin.
First, in section , we will show that does indeed define an entire function. Given any , we will choose so that . In a neighborhood of the origin, is a polynomial-like mapping which is close to . We will construct a quaisconformal mapping with small dilatation mapping the Julia set of to the Julia set of the polynomial like mapping . It will follow that the Julia set of the entire function will have Hausdorff dimension bounded below by a value arbitrarily close to as well.
In the next sections we prove several estimates on the growth of the sequence , and decompose the plane into alternating annuli and , where the modulus of is fixed and contains the circle and the modulus of increases as . We will show that looks like a power function on , that , and that if a point ever lands in , it diverges locally uniformly to under . Therefore, all the interesting dynamical behavior happens in the annuli . We will show that , and that all the zeros and critical points of and the Julia set are inside the ’s. To accomplish this, we will show (in a way that can be made precise) that is approximately equal to the th term in the infinite product on .
From here, we will be able to prove that we can sort the Fatou components into two types depending on whether the component escapes to or remains bounded. The first type of Fatou component comes from the connected component containing the critical point [math] of . This component is an attracting basin, and its inverse images form “trapdoors” in the sense that if is inside of one of the inverse images, will eventually land in the basin containing [math] and remain there for the rest of its iteration.
The second type are the components which are subsets of the escaping set. These components will be infinitely connected wandering domains, and the boundary of such components will be bounded by closed curves. These boundary curves will accumulate on the outermost boundary of each component. There is a distinguished sequence of these Fatou components which wind around the origin. We will split these components into two sub-categories. If , we will call “round” since the inner and outer boundary of will be curves which are approximately circles. We will call for “wiggly”. The inner and outer boundary of wiggly components will be curves that approximate the fractal boundary of the basin of attraction containing [math]. See Figure . Since is multiply connected, its complement can be split into components , the component contained in the origin, , the unbounded component, and countably many components which are between the inner and outer boundary components. We will prove that some iterate of maps conformally onto a domain bounded by the outer boundary of for , and that the iterate of has small conformal distortion. It follows that contains copies of for , and these copies look approximately like .
The Julia set of will contain the boundaries of each of these two types of components. This is not the entire Julia set though. Since has a multiply connected Fatou component, the work of Dominguez ([Dom97]) implies that the Julia set will also contain points that do not lie on the boundaries of either of these two types of components. These so-called “buried” points in the Julia set either remain bounded, are in the bungee set, or escape, but they do not belong to the fast escaping set. In sections 10 through 13, we will perform a detailed analysis on the dimension of the set of these points. We will show that the dimension of this set is lower bounded by the dimension of the boundary of the basin of attraction containing [math]. While the dimension could possibly be larger than the dimension of the boundary of the basin of attraction, we show that we can make this difference in dimension arbitrarily small.
To upper bound the packing dimension, we will follow [Bis17] and study the critical exponent of a Whitney decomposition of the complement of the Julia set of in a bounded region. Since the Julia set of will have zero area, it turns out that this critical exponent coincides with the packing dimension, and we will show that this exponent is at most the dimension of the buried points. The key idea in this part of the proof is to iterate small Fatou components to components of unit size where we can calculate the critical exponent of a Whitney decomposition directly. The tradeoff is that this conformal rescaling procedure results in various corrective factors that we must now control independently of which small Fatou component we chose. We do this with a combination of all the technical work done earlier in the paper.
3. Hausdorff, Packing, and Minkowski Dimension
Given a set , we define its -Hausdorff measure to be the quantity
[TABLE]
The infimum is taken over all countable covers of A. One can check that if , then for all , and similarly, if , then for all . It follows that the Hausdorff dimension
[TABLE]
is uniquely defined.
Given a compact set , define to be the minimal number of open balls of radius needed to cover . Since is compact, this number exists and is finite. We define the upper Minkowski dimension of to be
[TABLE]
Equivalently, one may consider coverings of by squares of a fixed edge length, and since the diameters of squares and balls are comparable, this would not change the definitions above. For this reason, the upper Minkowski dimension is often called the upper box counting dimension, although we will favor the former notation.
In this paper, we will investigate the upper Minkowski and packing dimension of unbounded Julia sets, so strictly speaking, the definition above does not make sense. We can instead consider the local upper Minkowski dimension of the Julia set, which is the upper Minkowski dimension of the Julia set intersected with an open neighborhood of finite diameter. In [RS05], Rippon and Stallard show that the local upper Minkowski dimension of the Julia set of an entire function is constant and coincides with its packing dimension (defined below), except perhaps in a neighborhood of point (a point with finite backward orbit; there is at most by the Picard theorem). Our example will not have an exceptional value of this kind, so their result further implies that the packing dimension and local upper Minkowski dimension are the same, no matter where we measure the local Minkowski dimension. In light of this, we will abuse notation and refer to the local upper Minkowski dimension of by ; the neighborhood we are using will always be made clear.
One reason to use the packing dimension is that the upper Minkowski dimension has poor measure theoretic qualities. In particular, one can check for the set has Minkowski dimension , but Hausdorff dimension [math] since it is countable. This means that Minkowski dimension does not satisfy
[TABLE]
To fix this issue, we define the packing dimension of to be
[TABLE]
Here, the infimum is taken over all partitions of into countably many subsets . The packing dimension can also be defined in terms of -packing measures, see Section in [BP17]. In practice, it is difficult to compute packing dimension using either of these definitions. We will instead use the strategy described below.
For , let denote the generation of dyadic intervals
[TABLE]
We call a dyadic cube if it is the product of dyadic intervals inside the same . Dyadic cubes satisfy the following simple but useful properties:
- (1)
The side length of a cube is , and its diameter is . 2. (2)
Each dyadic cube is contained inside a unique cube parent cube with the property that . 3. (3)
Given two dyadic cubes and , either or have disjoint interiors, or one is contained in the other.
If is open, each belongs to a dyadic cube with the additional property that . By property (3), each point is contained in a cube of maximal possible diameter. It follows that the cubes form a Whitney decomposition of , that is, a collection of cubes that are have disjoint interior, cover , and satisfy the estimate
[TABLE]
for some . More generally, we may consider Whitney decompositions of with subsets that are not dyadic cubes, but are instead sets with disjoint interior whose closures cover and satisfy the same estimate above. Whitney decompositions are also conformally invariant in the following sense: if is a conformal map, and is a cube in some Whitney decomposition of , then is covered by at cubes in a Whitney decomposition of , where only depends on the constants in and not on the conformal mapping (see [GM05], p. 21).
Whitney decompositions allow us to define for any compact the critical exponent
[TABLE]
where the sum is taken over all cubes in a Whitney decomposition within some bounded distance of . The critical exponent is well-defined; it does not depend on which Whitney decomposition we choose for the complement of . The key point is that given two Whitney decompositions of a domain , and a cube inside one of the decompositions, it can be covered by a finite number of cubes in the other collection, and this finite number depends only on the constants in (3.1) and the dimension . The following is Lemma in [BP17], which relates the critical exponent of the complement of a set to its upper Minkowski dimension.
Lemma 3.1**.**
For any compact , . If has zero Lebesgue measure then we have equality.
To summarize this section, for our application, we have
[TABLE]
Therefore, to obtain Julia sets with packing dimension in , our approach will be to show that given and , we can define so that and , for which we will use the lemma above. A complete discussion of these various dimensions, including proofs, can be found in [BP17].
4. Quasiconformal and Polynomial-Like Mappings
Douady and Hubbard introduced polynomial-like mappings in [DH85]. In this section we outline and review the properties we will need in this paper.
First, recall that a continuous mapping between two topological spaces is called proper if the inverse image of every compact is compact. A degree polynomial-like map is a triple , where is a proper holomorphic mapping of degree , and and are homeomorphic to disks with is relatively compact in . We define the filled Julia set of by
[TABLE]
This is precisely the set of points that remain in for all iterates of . The Julia set of is defined to be the boundary , and we denote it by .
Many of the classical propositions in the dynamics of polynomials are true for polynomial-like mappings. For example, suppose that is the immediate basin of attraction for some attracting fixed point . The same proof as in the case of rational functions that contains a critical point of applies equally well to the polynomial-like case. Hyperbolicity also makes sense in the setting of polynomial-like maps. We say is hyperbolic if there exists a Riemannian metric on and so that if we have where is a tangent vector. With the same proof as the case of rational mappings, this definition is equivalent to the definitions that on for some , or that every critical point is attracted to an attracting fixed point or cycle. In our applications, the polynomial-like map will come as the restriction of an entire function, and it will be important that we distinguish between being hyperbolic as a polynomial-like map, versus being hyperbolic as a transcendental entire function (which our example cannot be, since it has an unbounded set of critical points. See [RGS17].)
The usefulness of polynomial-like mappings comes from the straightening lemma (Theorem 1, p. 296 in [DH85]), which gives a quasiconformal conjugacy between the polynomial-like map and some polynomial of the same degree. To lower bound the Hausdorff dimension of the Julia set of our examples, we will construct a quasiconformal conjugacy in a way similar to the straightening lemma. If and are planar domains, we call an orientation preserving homeomorphism -quasiconformal if has locally square integrable distributional derivatives which satisfy
[TABLE]
for all for Given a quasiconformal mapping, we define its dilatation
[TABLE]
The definition says that the dilatation is bounded above by some number less than . We will need the following fact about quasiconformal mappings. The proof can be found in Section IV.5.6 of [LV73].
Lemma 4.1** (The Good Approximation Lemma).**
Suppose that is a sequence of quasiconformal mappings. Suppose that uniformly on compact sets, and the corresponding dilatation of converges pointwise almost everywhere to some limit almost everywhere. Then is quasiconformal with dilatation .
5. Defining the Function
In this section, we specify the parameters defining and show that it is an entire function. Along the way we will prove some basic estimates regarding the parameters and defining that will be useful later in the paper.
Recall that the main cardioid of the Mandelbrot set is the region consisting of all parameters , where . If is a parameter in the main cardioid, the Julia set of is a quasicircle with an attracting fixed point in its interior. As mentioned in the introduction, the results of Shishikura and Sullivan imply that for each , we may choose in the main cardioid so that (see [Shi98] p.232 and [Sul83] p.742, along with Theorem 7.6.7 in [PU10]).
Having chosen such a , recall that we defined , and denotes the th iterate of . Since is a degree monic polynomial there exists some so that if we have
[TABLE]
We will always assume is big enough so that holds.
Next given some integer define a sequence of integers for
[TABLE]
Note that when , and for all we have . Given the above, define
[TABLE]
We will construct our infinite product as a sequence of partial products inductively as follows. Given as above we can define
[TABLE]
[TABLE]
[TABLE]
Next, assume that , and have all been defined. From there, we define
[TABLE]
[TABLE]
[TABLE]
With these starting parameters, we want to begin by looking at functions of the form
[TABLE]
Viewing this as a formal infinite product, our first step will be to show that is indeed an entire function on .
Lemma 5.1** (The Growth Rate of ).**
For all , we have
- (1)
, and . 2. (2)
.
Proof.
The first claim immediate from the definitions. For the second claim we compute
[TABLE]
This is just a rearranged version of . ∎
Corollary 5.2**.**
For all ,
Proof.
Apply Lemma 5.1 to the equality . ∎
We can deduce the following growth rate estimates for .
Lemma 5.3** (The Growth Rate of ).**
If , satisfies , and if , we have
[TABLE]
Proof.
is big enough so that holds, so that
[TABLE]
This is the base case for an induction. Suppose that for some , we have
[TABLE]
for all . This induction hypothesis implies that for all . Therefore,
[TABLE]
To get the last inequality, we used the fact that when for all . Therefore satisfies the inequality in the lemma. ∎
For the rest of the paper, we will always assume that , so that the conclusion of Lemma 5.3 is always valid. The lemma above also contains the following simpler inequalities that will often be sufficient for our purposes. We note them below.
Corollary 5.4** (Other Useful Inequalities).**
For we have
[TABLE]
For we have:
[TABLE]
Proof.
The first inequality is a weaker version than the one found in Lemma 5.3. The second inequality follows from Lemma 5.3 by induction and the fact that . Indeed, the base case is clear by Lemma 5.3, and if the claim is true for , then
[TABLE]
∎
Now we show that the infinite product we are interested in converges on .
Corollary 5.5**.**
The infinite product
[TABLE]
converges uniformly on compact subsets of . In particular, is a transcendental entire function.
Proof.
To check that the infinite product converges, we check that the associated sum
[TABLE]
converges uniformly on compact sets. It suffices to show that converges uniformly on every closed ball . If we choose so that , then we know that for all
[TABLE]
In this way, the series above is summable, so the series converges uniformly on . So defines an entire function, and it is certainly not a polynomial. ∎
We conclude this section by recording two useful lemmas regarding the growth rate of . The first lemma will help us study near in section . The proof follows from Theorem 5.3, and we refer the reader to sections and of [Bis17] for the details of the proof.
Lemma 5.6**.**
Suppose that has been defined as in this section, and . Then
[TABLE]
[TABLE]
Finally, if , we have
[TABLE]
This second lemma is used in the proof of Lemma 11.1
Lemma 5.7**.**
Let , and let . Then for any ,
[TABLE]
Moreover, by choosing sufficiently large, the sum can be made arbitrarily small.
6. The Hausdorff Dimension Changes by a Small Amount
Recall that we denote . Since the Julia sets of and are the same, they have the same Hausdorff dimension. We can also view the function as perturbed by the infinite product we constructed in the previous section. The parameters have been chosen so that in a neighborhood around the origin the infinite product defining is uniformly close to . To emphasize this, we write
[TABLE]
where converges locally uniformly to the constant function as .
In this section, we will view and as polynomial-like mappings. Recall that we denote the filled Julia set and Julia set of a polynomial-like mapping by and , respectively. Since is an entire function, is a subset of the Julia set of viewed as an entire function. Since is a polynomial, the filled Julia set and the Julia set coincide with its usual filled Julia set and Julia set. We will denote the basin of attraction of by , so that . We will use similar notation for . Recall that we chose so that . Our goal is to show that since and differ only by a perturbation close to the identity, where is as small as we would like. It will follow that the Julia set of the entire function , , is at least .
The following lemma is obvious.
Lemma 6.1**.**
Fix the parameter and fix some . Then for all sufficiently large, is compactly contained in , and
[TABLE]
is a degree polynomial like mapping.
In Lemma 6.1, larger choices of both and will require larger choices of . We will make a definitive choice for at the end of Section . Once this is done, we can make a definitive choice for , and then we will always assume that is large enough so that the conclusions of Lemma 6.1 hold.
Next observe that
[TABLE]
On , we may choose sufficiently large so that is uniformly close to the constant function . It follows that the first term on the right hand side of can be made arbitrarily close to by choosing large. is bounded on , and the Cauchy estimates imply that if , then
[TABLE]
Therefore,
[TABLE]
By perhaps making a larger choice of , we can make as small as we would like. We summarize this discussion below.
Lemma 6.2**.**
Fix and . Let be given. Then for all sufficiently large,
[TABLE]
We now prove the main theorem of this section.
Theorem 6.3**.**
Let and be given. Then and may be chosen so that the Julia set of the polynomial-like mapping is a quasicircle such that
Proof.
is a hyperbolic polynomial since is in the main cardioid. It follows that there exists some topological annulus containing the Julia set of so that on . By Lemma 6.2, we may arrange for on as well. Since the dynamics are expanding, is relatively compact in and , which are also topological annuli containing .
Since is uniformly close to , the boundary of and are close to each other in the following sense. Let and let be a small disk around . Then the outward and inward pointing normal vector based at makes small angles with any other inward or outward pointing normal vector based at in both and the boundary of . It follows that there exists a quasiconformal mapping
[TABLE]
Moreover, can be chosen to have the following properties:
- (1)
on . 2. (2)
is -quasiconformal, where and . 3. (3)
on .
We now set up the following notation. We call , and we call . Thus and each form nested sequences of topological annuli. since and are both expanding on , we know that the widths of and are both shrinking uniformly.
Next, notice that and are each the disjoint union of topological annuli. We call the components the outer and inner annuli, corresponding to which component has larger diameter. We denote these annuli by and for the outer annuli, and and for the inner annuli. We can continue this procedure inductively, obtaining a sequence annuli and . These annuli have the property that the outer boundary of coincides with the inner boundary of for all , and the inner annuli have the property that the outer boundary of coincides with the inner boundary of . Similar statements are true for and . Our goal is, for each , to construct a quasiconformal satisfying
- (1)
is conformal from to , 2. (2)
on the components , , , for . 3. (3)
on the components , , , for . 4. (4)
is -quasiconformal, with the same as above.
Let us first construct . Note that and are each to continuous mappings, hence there exists a lift that satisfies
[TABLE]
Since and are are to and locally conformal mappings, is -quasiconformal. Next, since and are to , there is a lift so that
[TABLE]
Note that since each of and are locally conformal and each , must be a conformal mapping. We define
[TABLE]
We should check that is continuous. Indeed, if is on the boundary of and then by the construction of . So we choose the lift (there are possible choices) so that on this common boundary. If is on the boundary of and , similarly we argue that
[TABLE]
So we choose the lift so that on their common boundary of definition.
We may continue this procedure inductively, obtaining lifts and that satisfy
[TABLE]
[TABLE]
Just as before, we may choose the lifts so that these maps agree on their common boundaries. is conformal on and is -quasiconformal on . We define
[TABLE]
By construction, evidently satisfies the four properties outlined above.
The result is a sequence of -quasiconformal mappings . The dilatation converges almost everywhere, since it is eventually constant on each . The family converges uniformly on compact sets as well. Indeed, since conjugates the dynamics, it sends the fixed points of to fixed points of . By perhaps taking a subsequence, since there are only finitely many repelling fixed points for , we can assume that for some repelling fixed point of and of for all . The sequence is therefore sequentially compact, every sequence has a convergent subsequence. We obtain a limit which conjugates the dynamics and maps the Julia set of the polynomial onto the Julia set of the polynomial-like map . By the Lemma 4.1, the limit is -quasiconformal. Since is -Hölder with close to one, the dimension of changes only by a small amount (see [Ahl66], p.30). ∎
The following corollaries are immediate from the above proof.
Corollary 6.4**.**
The Julia set of the polynomial-like mapping is a quasicircle with dimension in arbitrarily close to .
Proof.
The Julia set of is the quasiconformal image of a quasicircle. The rest is just a restatement of Theorem . ∎
Corollary 6.5**.**
* is a hyperbolic polynomial-like mapping.*
Proof.
We showed was expanding on in the proof above. ∎
To conclude this section, we review some notation we will use for the rest of the paper. We now know viewed as a polynomial-like mapping has a quasicircle Julia set and one attracting basin. We will let denote the filled Julia set of the polynomial-like mapping , and write , where is the Julia set and is the attracting basin.
7. The Local Behavior of
We now move on to analyzing the function away from the origin. The purpose of this section is to show that behaves like simpler functions (the functions defined in Section and simple power functins) on suitably defined regions of . Recall that
[TABLE]
To be more specific, we will show, quantitatively, that we can decompose into regions where looks approximately like . The observations and estimates here are vital for understanding to precise dynamical behavior of .
We define
[TABLE]
A description of the conformal mapping behavior of can be found in Section of [Bis17]. For our purposes, we will need to consider the connected components of . This set has connected components, one unbounded, one containing the origin, and petals which we denote by . is a conformal mapping, and . See Figure 3.
Next, we decompose into annuli as follows.
[TABLE]
[TABLE]
Note that is compactly contained inside of . See Figure 4.
Lemma 7.1**.**
With defined above, we have
[TABLE]
Proof.
This is a simple computation:
[TABLE]
∎
Lemma 7.2**.**
If , there is a constant so that
[TABLE]
For , the constant is given by the formula
[TABLE]
For the constant is given by
[TABLE]
Proof.
Write
[TABLE]
The tail end of the infinite product is easy to estimate; it satisfies the hypotheses of Lemma , so we obtain
[TABLE]
Next we use Lemma part of 5.1 to compute
[TABLE]
We show how to estimate each term. Note first that , , so that by ,
[TABLE]
Similarly, we can check that for that
[TABLE]
Since , is comparable to . Therefore
[TABLE]
Finally, observe that since we have . It follows from Lemma that when we have
[TABLE]
Finally, by Lemma we have
[TABLE]
Combining all these observations yields the desired formula, along with the formulas for . ∎
Lemma 7.3**.**
Let , , and . Then When , then
Proof.
The case is obvious. For , we can compute, using the fact that , that
[TABLE]
So in this case we see that
[TABLE]
∎
Lemma 7.4**.**
For all ,
Proof.
We compute using the fact that
[TABLE]
∎
The next lemma says that looks like a power function on .
Lemma 7.5**.**
For , we have
[TABLE]
Proof.
Following the proof of Lemma 7.2, we have
[TABLE]
We have kept the term, since . However, , , so that,
[TABLE]
A similar computation yields
[TABLE]
∎
The following useful corollary is immediate.
Corollary 7.6**.**
* is never zero on .*
The next proofs follow similar lines of reasoning, and are identical to the proofs in Section 10 of [Bis17]. We record them below.
Lemma 7.7**.**
For all , and for satisfying , we have
[TABLE]
Lemma 7.8**.**
For , and , we have
[TABLE]
Lemma 7.9**.**
On , we have
[TABLE]
Where is holomorphic on with
[TABLE]
Corollary 7.10**.**
* is non-zero on .*
We conclude with a remark about the functions . First define
[TABLE]
The constant is chosen so that on the annuli . It follows that can be made arbitrarily small, given that and are sufficiently large. We need this fact in the proof of Corollary 7.10 and in the proof of Theorem 9.9 in the next section. If we assume is chosen large enough so that these results hold, we may consider such a value fixed for the remainder of this paper. Moreover, choosing larger later on will not affect the choice of needed.
8. The Mapping Behavior on Annuli
We record the following useful corollary from the results of the previous section.
Corollary 8.1**.**
For all we have
[TABLE]
Proof.
By the first part of the proof of Lemma 7.2 we have for that
[TABLE]
Recall that was the th partial product of the infinite product defining . If we further assume , Lemma applies and
[TABLE]
By Lemma , and perhaps choosing and larger,
[TABLE]
∎
With Corollary 8.1 and the estimates of the previous section, the following theorem follows in the exact same way as in Sections and of [Bis17].
Theorem 8.2**.**
For and sufficiently large , we have that and . Moreover, maps the outermost boundary component of into and the innermost boundary component into .
Corollary 8.3**.**
Each set is in the Fatou set of .
Proof.
Since maps into we know that the iterates tend to infinity uniformly. ∎
9. Partitioning the Julia And Fatou Set
In this section, we describe a system for cataloging the various components of the Julia set and the Fatou set. We will also discuss the conformal mapping properties of , which will be vital to our analysis in the upcoming sections.
Consider the trajectory of a point with , assuming that , the filled Julia set of the polynomial-like mapping . There exists a natural number so that , so is iterated into some annulus or . If is iterated into , the point stays in future ’s for all subsequent iterates. It is also possible that is iterated into but is still iterated into for some . As discussed earlier, such a is always in the Fatou set.
The more interesting case is when the orbit of is disjoint from for all . There are two subcases to consider. For the first case, define
[TABLE]
is the set of all points that eventually map into the filled Julia set of the polynomial-like mapping . If belongs to , the orbit of is eventually contained in . If is in the Julia set, the orbit will eventually be contained in , and if is in the Fatou set, the orbit will eventually be contained inside of the attracting basin .
The other case is that . It may not be true that the orbit of is eventually contained inside of the ’s for . Indeed, the zeros of are contained in the annular regions , so it is possible (and often happens!) that points can be iterated from to for . It is possible that points land back in the region between the inner boundary of and . It will be useful to label this region by pulling back the annulus . First define
[TABLE]
[TABLE]
After steps, maps into . Therefore, we may describe this final case of orbits as the set of all whose orbit is contained in
[TABLE]
From the definition of , it is apparent that .
The next few lemmas describe the dynamical behavior of points in .
Lemma 9.1**.**
Let be a connected component of for . Then we have the following possibilities.
- (1)
. 2. (2)
* for . All possible occur.*
Proof.
By Theorem 8.2, we know that case can occur. The fact that all possible occurs follows from the fact that all the zeros of are in the annuli for , and the fact that is continuous. To see that no other cases occur, note that if for , then , since for all . ∎
The cases above are very different. In the first case listed in the lemma, is a to covering map. This follows from Lemma 7.2. If for , then is a conformal mapping. To prove this, we need to show doesn’t contain any critical points. This follows from the following series of observations. First recall that is a “petal” region where restricts to be a conformal mapping onto the disk. The following is Lemma in [Bis17]:
Lemma 9.2**.**
We have for all .
The next important lemma says that the diameter of the portion of the Julia set inside the petal is much smaller than the diameter of that petal. This lemma is deduced on page of [Bis17] as a consequence of the proof Lemma
Lemma 9.3**.**
The diameter of the portion of the Julia set contained in each petal is
The final lemma characterizes the dynamics of the critical points of . Recall that is the basin of attraction for the polynomial-like mapping . The following is Lemma in [Bis17].
Lemma 9.4**.**
All critical points of are either contained in or for some . If is a critical point contained in , then and the distance from to the Julia set is at worst comparable to . In both cases, is in the Fatou set.
We now know enough to show that if is a component of inside of for , then is a conformal mapping with uniformly bounded conformal distortion. We make this sentence precise. First recall the following consequence of the Koebe distortion theorem.
Lemma 9.5**.**
Fix and let be an open ball and let be a compact set. Suppose that is conformal. Then there exists a constant , independent of , so that
[TABLE]
It is easy to deduce this form the the Koebe distortion theorem; for example, one can use [GM05] Theorem p. . We stress that the constant is independent of and only depends on the conformal modulus of the annulus . As tends to , more distortion is possible.
It is easy to see that we need not apply Lemma 9.5 to the unit disk . Indeed, we may replace by any simply connected domain and by any simply connected domain compactly contained inside of it. Then the constants of the theorem depend only on the conformal modulus of the annulus between these two domains. When we say bounded conformal distortion, we mean a bound on the conformal modulus, and hence a bound on the constants in Lemma 9.5.
Lemma 9.6**.**
The only components of for that are in for are in the petals . Moreover, there exists a ball so that is compactly contained in and so that is conformal.
In other words, maps to with uniformly bounded conformal distortion.
Proof.
A proof of the first sentence is found in Lemma of [Bis17]. To prove the second fact, recall that any critical point has distance approximately from the Julia set of . contains the Julia set inside of the petal and has diameter at most approximately . Therefore, there exists a ball of unit size so that does not contain any critical points, and contains . ∎
Note that the proof above can easily be modified so that if is initially chosen sufficiently large, we can choose to make the conformal distortion as close to as we would like.
Now we turn to a systematic labeling of the Fatou components of . For , define to be the Fatou component containing . Here, we interpret . For , define . The ’s are distinct; this will follow from the argument at the beginning of the proof of Theorem 9.9.
Lemma 9.7**.**
For all ,
Proof.
If this is true by definition. For , we know that by Theorem 8.2. Since is a connected component of the Fatou set it follows that . But is also a connected component of the Fatou set, so we must have equality. ∎
Next we want to show that the outermost boundary components of each are smooth, and if , they approximate round circles as well. We need the following Lemma, whose proof is in [Bis17].
Lemma 9.8**.**
Suppose is a holomorphic function on and suppose that is bounded by on . Let For any fixed the segment is mapped by to a curve that makes angle at most with any radial ray it meets.
Recall that by Theorem 8.2 the image of the annulus contains . It follows from Lemma 9.8 that is a topological annulus, and the boundary components of are smooth curves that are at most angle away from being round circles. From here, with the additional help of Lemma 7.7, we can also deduce that the width of is approximately .
Theorem 9.9**.**
For all , the innermost boundary of is smooth, and if , it approximates a round circle.
Proof.
Fix some and define
[TABLE]
Since is a round annulus, it has a natural foliation of closed circles. has an induced foliation of closed analytic curves by pulling back these circles in via .
Let be a ray through the origin. Then the curves in and intersect this ray with some angle which depends on the particular curve we choose in each family. We let and denote the supremum of these angles. By Lemma 9.8, we have
[TABLE]
where the ’s are defined in Section 7.
By our observation before the proof, the widths of these topological annuli contract uniformly. Therefore the intersection
[TABLE]
is some closed set with no interior. We claim that is the innermost boundary component of . To see that it is in the Julia set, take any open ball with center . For a large enough , we claim that there is a point in so that
- (1)
2. (2)
has a preimage in . 3. (3)
There exists a point that is also in the ball centered at .
By Theorem 8.2, we can arrange for and to hold for any . follows from Lemma 7.7. looks like the composition of mappings , so for sufficiently large , there will be a preimage of inside of the ball. This point , but escapes. Since the ball around was arbitrary, must be in the Julia set, so is. To see that it is the innermost boundary component of , again consider any small ball centered at . Then there is a point in this ball and there exists so that but and is in the unbounded complementary component of . By Theorem 8.2, it follows that . By Lemma 9.7, . It follows that is the innermost boundary of .
Finally we claim is actually smooth. This follows from the summability of the sequence . Indeed, the limit makes at most angle with the circular arcs that foliate , and since the sequence is summable, the tangent directions of the foliation converge uniformly to tangents for . If we can make this curve close to a circle by making the sum small. ∎
It is also true that the outermost boundary component of each is and close to a circle, since it coincides with the innermost boundary of .
Lemma 9.10**.**
The outermost boundary component of is the innermost boundary component of .
Proof.
By Theorem 8.2, the innermost boundary component of maps into for all . It follows that there is a topological annulus with the same innermost boundary component as , and . By the proof of Theorem 9.9, the topological annuli approach . Therefore, nearby any point is a point , for some , so that . It follows from Lemma 9.7 that , so that is also in the boundary of . ∎
By Lemma 9.3, we know that each is multiply connected (they are actually infinitely connected, which is easy to see from the proof of Theorem 9.9 when we showed was in the Julia set). We can break the complement of into three types of regions , , and . is the region containing the origin and is the unbounded region. The remaining regions lie between the innermost and outermost boundary components of . We define to be the union of and all the regions , so that is a topological annulus. We will also consider the regions , which we define to be the union of , , and all the regions . Therefore, is a topological disk. In general, for a set , we denote as and the union of all its complementary connected components. In approximation theory, this is often referred to as taking the polynomial hull of .
Next, let be a complementary component of . The boundary of is in the Julia set, and contains a zero of . By Lemma 9.6, maps conformally onto some disk that contains the origin, and the boundary must also get mapped to the Julia set. Since , Lemma 9.10 and Lemma show that the boundary gets mapped to the outermost boundary of . It follows that inside of , there are conformal copies of for . This motivates the following definition.
Definition 9.11**.**
We call a Fatou component of k-type if there exists so that is a conformal mapping. That is, maps conformally onto .
The value for is unique, since will be an to mapping, where depends on . Later, we will prove that every Fatou component that escapes is of -type for some .
There are points in the Julia set that are not in the boundary of any Fatou component. Such points are in the Julia set and are called buried points. We say a point moves backwards under if and for . moves backwards infinitely often if there are infinitely many natural numbers so that moves backwards.
Lemma 9.12**.**
Let be given. If is buried then it moves backwards infinitely often.
Proof.
Suppose that is a buried point. Suppose for the sake of a contradiction moved backwards only finitely often. By considering an iterate of , we may assume never moves backwards. is in the Julia set, so if , then , and for all . By the proof of Theorem 9.9, must be on the boundary of , so it is not buried. ∎
We will see later that is buried if and only if it moves backwards infinitely often. For the rest of the paper, we will refer to the points that move backwards infinitely often as .
10. The -Sum of the Fatou Components: Preliminaries
In the next few sections, our goal to prove the following technical theorem, which we need to show that can be made as close to as we like. Recall that .
Theorem 10.1**.**
Let be given. Then may be chosen large enough so that
[TABLE]
where the sum is taken over all Fatou components of -type for .
The proof of Theorem 10.1 will be carried out in Section after we prove some preliminary lemmas. For convenience, we will call the sum in Theorem 10.1 an -sum of the components of -type. Recall that the components of -type inside of are the escaping Fatou components which eventually iterate conformally onto .
To prove Theorem 10.1, we will construct a “self-improving” covering of the set of points which move backwards in the ’s infinitely often. By this we mean that if at some stage the covering contains a component of -type, the new stage will cover all the holes (which we denote , similar to the regions ) of and is therefore a subset of the previous stage. We will show that the -sum of the new covered components can be compared to the diameter of the previous component in such a way that the -sum of the diameters of the components at all stages is summable. The following corollary of such a construction will be immediate.
Corollary 10.2**.**
Let . Then we may define in a way that depends on so that .
In this section, we will describe this covering before moving on to some technical lemmas we will need in the next sections. The overall idea is that we wait for the first time that a point in moves backwards, and refine the covering accordingly. The refinement roughly corresponds to replacing by the union of its holes .
Define . For each , by definition, there is a first so that for . has several components in , all of which are topological annuli. is a member of one of these components, which we denote by . The collection of all such refines the covering of . We continue to refine the covering by the dynamics as follows. If , then there is a first so that for . We replace by the component containing , which is clearly contained inside of .
It will be useful to make the following modification to the procedure above. Instead of considering all , we will just consider the case. To do this, we replace by the polynomial hull of , which we denote as . Note that these sets have the same diameter, and they contain all components in the cover of the form , inside of it. Finally, note that , since we are waiting for the first time the component moves backwards, and maps with onto by definition. In other words, the points in the negatively indexed never move backwards.
11. The -Sum of the Fatou Components: Refining for
In this section, we show that refining the covering in the previous section results in a decreased -sum compared to the previous stage, but only for components of -type for .
First we need an easy estimate comparing the diameter of to the diameter of the hole inside of it.
Lemma 11.1**.**
* may be chosen so that, for all , , we have*
[TABLE]
Proof.
There is exactly one component of the form contained inside of the polynomial hull . By the Koebe distortion theorem
[TABLE]
Recall that By choosing large enough, we have the desired result. ∎
The next lemma is more complicated. We show that at any stage, when we refine a component , we can control the diameters of the refined components in terms of the diameter of .
Lemma 11.2**.**
* may be chosen so that, for all , *
[TABLE]
Proof.
First we need to count how many new components of the type we get for each . First note that by definition of our covering we have the following chain
[TABLE]
Indeed, we are choosing to cover with the hull of the component that goes back in the case, and since each time we choose so it was the first time this happened, we have this exact sequence of mappings. acts like a covering map in each of these individual situations. There are two possibilities.
- (1)
and . In this case, the mapping is to . 2. (2)
and . In this case, is a polynomial-like mapping and is to .
It follows from taking preimages according to the definition of the covering that the number of components inside of is less than
[TABLE]
Here, .
Finally, we can use the last petal map, Lemma 9.3, and two applications of the Koebe distortion theorem to conclude that
[TABLE]
So for each , the contribution to the sum is bounded above by
[TABLE]
By Lemma , choosing sufficiently large makes the big-oh term as small as we would like, so the result follows. ∎
12. The -Sum of the Fatou Components: Refining for
Having dealt with the refinement of all components of -type for , we turn to analyzing the refinement with . As , the Fatou components are no longer approximate circles but annuli shaped like the fractal . To estimate the -sum when we refine the covering in these components, we will decompose them into pieces that map conformally onto a slit . The Koebe distortion theorem will allow us to compare the sum of the refinement restricted to one of these pieces to the -sum of the refinement of a component of -type, with a corrective factor given by the diameter of the piece raised to the power. To control these corrective factors, we will show that they form a Whitney decomposition of the complement of , and use Lemma 3.1 and the fact that to obtain a convergent sum. The end result is the following:
Lemma 12.1**.**
Fix . Let be an element of the covering of . Let be the components in the covering contained inside of . There exists so that
[TABLE]
Proof.
For each , , is a to mapping, so each can be decomposed into pieces each of which maps conformally onto minus a slit. We denote this slit by . This process breaks into quadrilateral pieces . All of the have holes, and we would like to use these to build a Whitney decomposition of the unbounded complementary component of . We denote the filled in components as usual by ; this is just the polynomial hull of each . Furthermore, we choose to define by the dynamics of . To be precise, for each and , we may choose for some . To accomplish this, it suffices to choose an appropriate decomposition of , and then define the decomposition of for by inverse images.
We claim forms a Whitney decomposition of the complement of the Julia set of the polynomial-like map . Indeed, there exists a quasiconformal mapping from the complement of to the complement of the disk that conjugates the dynamics of the polynomial like map with . Under this conjugacy, the cubes in map to approximate hyperbolic squares that form a Whitney decomposition of the complement of invariant under the dynamics of . It follows that is a Whitney decomposition by applying since the hyperbolic squares are.
Let us return back to . Since forms a Whitney decomposition of the unbounded complement of , forms a Whitney decomposition of the unbounded complement of contained inside of . If , it is contained inside of some quadrilateral , and there exists so that, by the Lemma 9.5
[TABLE]
Applying this for all , we obtain
[TABLE]
Next, if we sum over all the pieces that make up the decomposition of each Fatou component, we get
[TABLE]
Since is a Whitney decomposition of the complement of , the sum converges by Theorem 3.1, and the sum is comparable to . By Lemma 11.1, and by choosing to be sufficiently large we have
[TABLE]
∎
13. The -Sum of the Fatou Components: Conclusions
By combining the two technical lemmas above, we can now prove the Theorem 10.1. The rest of the section is dedicated to some simple corollaries of the proof below and a discussion of the geometry of the Fatou and Julia sets relevant to the next section.
Proof of Theorem 10.1 and Corollary 10.2.
It is sufficient to prove that the diameters of all components for converge. Indeed, each component can be associated to an element of the covering of since the outer boundary component of is contained in a unique , so that they have comparable diameters.
Suppose we are at the th stage of the refinement procedure described in Section . Let denote all the collection of sets obtained at this stage, and denote all the components obtained by refining . All of the components in contained in are contained in for . First we write
[TABLE]
We use Lemma 11.2 and Lemma 12.1 to estimate each of these terms so that
[TABLE]
Now we can apply Lemma 11.1 to see that
[TABLE]
It follows that the diameters of each refinement decay geometrically, so that the sum of all components of the covering is finite. This proves Theorem 10.1. Since the tail of a convergent series tends to [math], it follows that the sum of the diameters of the th refinement tends to [math] as tends to infinity. Since the th refinement covers , it follows that , so that . ∎
Corollary 13.1**.**
* has zero Lebesgue measure.*
Proof.
The Julia set is the disjoint union of the the set of points that move backwards infinitely often, countably many curves, and countably many quasicircles with dimension strictly less than . All of these components have zero measure. ∎
14. A Detailed Description of the Dynamics of
We can now offer a complete description of the Fatou and Julia set, along with several other dynamically interesting facts.
Recall that for an entire function , we define the escaping set as
[TABLE]
Choose some number so that there exists with so that (for example, choose so that ). Then define inductively
[TABLE]
We define the fast escaping set as
[TABLE]
We define the bungee set as
[TABLE]
Lastly, we define the bounded orbit set as
[TABLE]
Every point is either in , , or . However, it is clear that if moves backwards infinitely often, then cannot be in the fast escaping set.
Corollary 14.1**.**
The sets , , and all have Hausdorff dimension .
It turns out all the points in the corollary above compose the entirety of of the set of points that move backwards infinitely often.
Corollary 14.2**.**
A point moves backwards infinitely often if and only if it is buried.
Proof.
By Lemma 9.12, it only remains to show that moving backwards infinitely often implies the point is buried. A point that moves backwards infinitely often cannot be in the set , the set of all preimages of the filled Julia set . So suppose that is on the boundary of some other Fatou component of . Then, this Fatou component must also move backwards infinitely often. By the corollary above, this is impossible. ∎
Corollary 14.3**.**
Every escaping Fatou component is of -type for some unique .
Proof.
Uniqueness has already been discussed. Let be an escaping Fatou component, but suppose it is not of -type. Then its boundary is in the Julia set, and by Lemma 14.2, the boundary moves backwards finitely often. So it suffices to deal with the case that is a component which never moves backwards. In this case, since the boundary of is in the Julia set and not of -type (and therefore not one of the ’s), Lemma 9.2 says that it is in a petal , or in . If it is in a petal, it moves backwards, so is in some , and must remain in all future ’s since it never moves backwards. ∎
Corollary 14.4**.**
The boundary of any escaping Fatou component is the union of curves.
Proof.
All escaping components are of -type for some , so it suffices to show this for . Since all the boundary components of are escaping by Lemma 9.7, they are the boundaries of components of -type for some . The components of -type map conformally onto , so their boundaries are also smooth, so all of the boundary components of are indeed smooth. ∎
We can now offer a full description of the Julia set.
Theorem 14.5**.**
The Julia set can be decomposed into three pieces
- (1)
The buried points of . Equivalently, the set of points which move backwards infinitely often. 2. (2)
The components that escape to . These components are always the boundary component of some Fatou component of -type. 3. (3)
Preimages of the Julia set of the quadratic-like map .
Note that it follows from this theorem that the Hausdorff dimension of the Julia set is upper bounded by . Define the radial Julia set to be the set of points such that there exists a so that for infinitely many , the disk of radius around may be pulled back univalently via to the component of containing . We define the hyperbolic dimension of to be the supremum of the Hausdorff dimensions of all hyperbolic subsets of the Julia set (see Definition in [Rem09]). In [RGU16], Rempe-Gillen and Urbanski prove that the Hausdorff dimension of the radial Julia set is equal to the Hausdorff dimension of the subset of points in the radial Julia set who have dense orbit in (p.1982, Theorem ). In [Rem09], Rempe-Gillen proves that the dimension of the radial Julia set coincides with the hyperbolic dimension.
Corollary 14.6**.**
.
Proof.
The set of points that go backwards infinitely often is certainly inside of the radial Julia set, and contains slow escaping, bounded orbit, and points in the Bungee set. By Theorem 14.5, the only points that can possible have dense orbit belong to the set , and it is clear that points in and cannot have dense orbits. Therefore in this setting, the set of points with dense orbits in the radial Julia set coincides with . This gives the upper bound for .
Since the filled Julia set of the polynomial like mapping , , is clearly a hyperbolic set, we see that the hyperbolic dimension of is lower bounded by . By our comments above, it follows that . ∎
We conclude the section by recording a lemma describing the nice geometry of the round Fatou components , . The proof follows from some basic calculations using the fact that looks like a power mapping on some portions of , along with using Lemma 9.6. A similar discussion is found in Section of [Bis17].
Lemma 14.7** (The Shape of Round Fatou components).**
Choose some Fatou component , for . Define for . Then has the following geometric properties
- (1)
The inner and outer boundary components of are curves arbitrarily close to round circles. 2. (2)
*For all , there are many boundary components of which lie distance approximately from the outer boundary component of . The boundary components are approximately distance apart from each other and lie on an approximately round circle. Their diameter is . All boundary components of arise in this manner for some ; we say that such a component is in the *th level of . 3. (3)
All of the boundary components of are approximately round circles.
15. The Packing Dimension of is
In this section, we prove that the packing dimension of can be taken to be arbitrarily close to the Hausdorff dimension, and is therefore less than . To accomplish this, we combine the techniques of the previous sections with the techniques used in [Bis17] that resulted in an estimate of packing dimension being . Roughly put, we will decompose the compliment of the Julia set into three regions, and estimate the local upper Minkowski dimension using Theorem 3.1. The regions take the three following general forms, the first two being the most straightforward. We have inverse images of the basin , and we also multiply connected Fatou components which are “far away” from the inverse images of in the sense that these components are almost circular. These regions correspond to the components of -type (see Definition ) for sufficiently large . When is much less than zero, components of we see a third type of region. These components are far from circular, since their boundary curves accumulate onto the fractal boundary of the appropriate inverse image of .
The following result will be useful in applying Theorem 3.1. It follows from the results of Sullivan in [Sul83] (see Theorems and ). Recall that if is polynomial-like, denotes its filled Julia set.
Theorem 15.1**.**
Let be a hyperbolic polynomial-like map. Then we have .
In particular, the polynomial-like map is hyperbolic since its critical point tends to an attracting fixed point, so its packing dimension and upper Minkowski dimension equal the Hausdorff dimension as well.
In order to apply Theorem 3.1, we need to decompose the Fatou components into simpler pieces. We collect the following lemmas proved in Section of [Bis17]. The first lemma will allow us to break the infinitely connected Fatou components into simpler, annular regions. See Figure .
Lemma 15.2**.**
Let be a bounded open set containing disjoint open subsets so that has zero Lebesgue measure. Then for we have
[TABLE]
where represents a Whitney decomposition of .
The topological annuli we obtain are close to round annuli if the Fatou component is far enough from the Julia set. This makes calculating the -Whitney sum easy, according to the next two lemmas.
Lemma 15.3**.**
If is biLipschitz, then for any , we have
[TABLE]
Given a Whitney decomposition , the -Whitney sum is the sum of the diamters of the elements of raised to the power.
Lemma 15.4**.**
Let be a round annulus and . Then the -Whitney sum is
[TABLE]
Recall in Section that we labeled Fatou components which wind around [math] as , corresponding to which they contained. As a corollary to the above work, we have the following basic estimate.
Theorem 15.5**.**
Let be a Whitney decomposition for a component of -type, , and let . Then
[TABLE]
Proof.
By Lemma 9.6, it sufficies to just consider the Fatou components which wind around the origin. The layers of holes in the Fatou set lie on Jordan curves that can be chosen arbitrarily close to circles. Connect each of these layers with such a curve, decomposing into approximately round annuli. By Lemma 15.2, it suffices to estimate the -sum of the Whitney decomposition of each of these annuli. But since the Jordan curves may be chosen close to circles, the annuli are biLipschitz equivalent to round annuli , where is the diameter of , with biLipshitz constant independent of the topological annulus. Therefore, by Lemmas 15.3 and 15.4, we have.
[TABLE]
∎
Note that the above “necklacing” construction where we decompose the Fatou components into approximately parallel annuli works for any with by pulling back the construction under . Let (recall that is the topological annulus formed by filling in the holes of ) be any Fatou component. If is of type for some , the construction can also be pulled back to via . Hence we have decomposed all Fatou components into topological annuli. Those components that are of -type for are roughly circular annuli with boundary components. However, when , the components of -type will be very close to a copy of the fractal Julia set of the quadratic like map and will approximate the Julia set. The length of these boundary components tends to infinity.
Let be a Whitney decomposition of the necklaced Fatou component together with the necklaced Fatou components contained inside . Since the critical exponent of a set is independent of the Whitney decomposition, we assume that is taken to be the dyadic Whitney decomposition.
Theorem 15.6**.**
The -sum of the Whitney decomposition above converges for any , where the Hausdorff dimension of .
Proof.
The Fatou components have three types. Those of type for , type for , and those that get iterated to . Therefore,
[TABLE]
Here, represents the cubes in the components of -type for , represents cubes in components of -type for , and represents cubes that get iterated into . We estimate each infinite sum separately.
We have already taken care of above using Theorem 15.5. Indeed, by Theorem , the -sum of the components of -type converges for any .
Next we estimate . is the Julia set of a hyperbolic polynomial-like mapping. It follows from Theorem 15.1 that the upper Minkowski and Hausdorff dimensions of are both . All other components which map to do so conformally, and are contained inside of a component of type. This means that the dimensions of the boundary of the copies of all the ’s are all . It also implies that the copies of map to with bounded distortion. Since the conformal image of a Whitney decomposition is a Whitney decomposition in the range of the conformal mapping, and since the image cubes have bounded finite overlap with a fixed dydadic Whitney decomposition of the bounded complement of , we have for a given copy of the basin of attraction that
[TABLE]
Here is the Fatou component of -type containing . Summing over all such components, we have
[TABLE]
Therefore converges because of Theorem 10.1 and Theorem 3.1.
Lastly we show is finite. We apply a technique similar to the one used in the proof of Theorem 10.1. Every component of -type for is contained in the polynomial hull of a unique Fatou component of -type. We fix such a component and call it . We further refine (via Lemma 15.2) by taking our necklaced components and slicing them into pieces which map conformally onto . These pieces are chosen to be the same collection from Theorem 10.1, except sliced by the necklacing construction. We pull back this refinement to all other Fatou components being summed over via the conformal mapping .
Now choose some cube in the refinement of contained in , a component of -type. Then we have
[TABLE]
for some , therefore
[TABLE]
Combining these estimates we have
[TABLE]
Next, we sum over all . This yields
[TABLE]
Similarly to the previous case, by the Koebe distortion theorem, the sum on the right hand side is comparable to a fixed -sum of some Whitney decomposition of a necklaced . The sum therefore converges. Next, we sum over all in the collection contained in . Therefore,
[TABLE]
The sum on the right hand side converges by Theorem 3.1. Finally, we sum of all possible components of -type to see that
[TABLE]
This sum converges by Theorem 10.1. It follows that , converges, proving the theorem. ∎
Corollary 15.7**.**
The upper Minkowski dimension, and hence the packing dimension of is at most .
Proof.
The above argument shows that the critical exponent for the Whitney decomposition of is less than or equal to . Since has zero Lebesgue measure, Theorem 3.1 says that the upper Minkowski dimension of is also less than or equal to . By [RS05], since has no exceptional values, the local upper Minkowski dimension is constant and coincides with the packing dimension, so that . ∎
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