The failure of Ruelle's property for entire functions
Volker Mayer, Anna Zdunik

TL;DR
This paper demonstrates that the hyperbolic dimension of certain entire functions can fail to vary analytically and explores fundamental questions in thermodynamic formalism, including the existence of hyperbolic entire functions without conformal measures.
Contribution
It provides a counterexample to Ruelle's property for entire functions and addresses open questions in thermodynamic formalism for complex dynamics.
Findings
Hyperbolic dimension does not vary analytically for a family of entire functions.
Existence of hyperbolic entire functions without conformal measures supported on the radial Julia set.
Counterexamples to Ruelle's property in the context of entire functions.
Abstract
We exhibit an analytic family of hyperbolic, even disjoint type, entire functions for which the hyperbolic dimension does not vary analytically. Additionally we answer several questions in thermodynamic formalism of entire functions such as the existence of a hyperbolic entire function without conformal measure that is supported on the radial Julia set.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
The failure of Ruelle’s property for entire functions
Volker Mayer
Volker Mayer, Université de Lille, Département de Mathématiques, UMR 8524 du CNRS, 59655 Villeneuve d’Ascq Cedex, France
*Web: *math.univ-lille1.fr/mayer](mailto:[email protected]%20)
and
Anna Zdunik
Anna Zdunik, Institute of Mathematics, University of Warsaw, ul. Banacha 2, 02-097 Warszawa, Poland
Abstract.
We exhibit an analytic family of hyperbolic, even disjoint type, entire functions for which the hyperbolic dimension does not vary analytically. Additionally we answer several questions in thermodynamic formalism of entire functions such as the existence of a hyperbolic entire function without conformal measure that is supported on the radial Julia set.
1991 Mathematics Subject Classification:
Primary 37F10; Secondary 30D05, 37F45, 28A80.
This work was supported in part by the National Science Centre, Poland, grant no 2018/31/B/ST1/02495 and by the Labex CEMPI (ANR-11-LABX-0007-01).
1. Introduction
Ruelle [41], answering a conjecture of Sullivan, has shown that the Hausdorff dimension of the Julia set of hyperbolic rational functions depends analytically on the map. An alternative approach to this result is contained in the monograph [50] and, following Bishop [13], we will call it Ruelle’s property. The hyperbolicity assumption is essential in this result (see [43] and [17]) and thus, in all what follows, we assume that the analytic families under considerations always have this property.
The paper [41] has been published in 1982 and since then this property has been generalized in many ways. Ruelle himself also established it for analytic quasiconformal deformations of cocompact Fuchsian groups, a result which has been extended by Anderson and Rocha [2] to convex co-compact Kleinain groups. There is also a version for Henon maps in by Verjovsky and Wu [49], for rational semi-groups by Sumi and Urbański [46] and one for hyperbolic surface diffeomorphisms by Pollicott [34]. Employing Birkhoff’s cone method, Rugh [42] extended recently Ruelle’s property to random –conformal repellers.
The common tool in all analyticity results is Bowen’s formula (see [16] for the original version) which expresses the dimension in terms of the zero of a pressure function. One should have in mind that this formula really determines the hyperbolic dimension which is the supremum over the Hausdorff dimensions of hyperbolic subsets of the Julia set (see Shishikura [43]). For most rational functions, in particular for all hyperbolic ones, the hyperbolic dimension coincides with the Hausdorff dimension of the Julia set. In transcendental dynamics however the situation is different: in general, there is a definite gap between these two dimensions (see [45] and [47]) and a typical phenomenon in the case of entire functions is that the dimension of the Julia set itself is often maximal, i.e. equal to 2. The later was first observed by McMullen [33] and Barański [6] has shown that this property also holds for all entire functions of finite order and of class , the class introduced by Eremenko and Lyubich [19] which consists in the entire functions that have a bounded singular set (see Section 2.1 for the definitions of the singularities). The intriguing thing then is how the hyperbolic dimension behaves.
Urbański and Zdunik showed analytic variation of the hyperbolic dimension at hyperbolic parameters for the exponential family in [48]. After this first result for transcendental dynamics, many contributions where made. The papers [48, 29] along with Skorulski and Urbański’s results in [44] show that Ruelle’s property does hold in great generality and for most of the classical families of transcendental functions, in particular for the sine, the tangent and the Weierstrass elliptic family. It also has been established in the realm of random dynamics for a class of transcendental functions in [32] and even beyond the scope of hyperbolic functions. Indeed, Kotus and Urbański [23] considered a family of Fatou’s function that have a persistent Baker domain and for which the hyperbolic dimension still behaves analytically.
Given all these results, real analytic dependence of the hyperbolic dimension does hold in great generality in transcendental dynamics. Contrary to that, we provide here the first example of an analytic family of entire hyperbolic functions for which Ruelle’s property breaks down.
Theorem 1.1**.**
There exists a holomorphic family of finite order entire functions , , of class such that the functions , , are all in the same hyperbolic component of the parameter space but the function
[TABLE]
is not analytic in , where denotes the hyperbolic dimension of .
For limit sets of Kleinian and Fuchsian groups such a break down of Ruelle’s property was observed initially by Astala and Zinsmeister [3]. They gave an example of an analytic family of infinitely generated quasifuchsian groups for which Ruelle’s analyticity result does not hold. Bishop [13] subsequently extended their result and gave a criterion for the failure of analyticity for a class of infinitely generated quasifuchsian groups. More recently, Huo and Wu [22] established an analogous result for deformations of Fuchsian groups of the second kind.
Functions of class have only logarithmic singularities over infinity (see Section 2.1) and the functions of Theorem 1.1 are built in such a way that they have only one logarithmic singularity over infinity but a very special one. For such functions we dispose in a complete theory of thermodynamic formalism [31]. This theory relies on the behavior of the transfer operator (see Section 4 for the definition and properties of the transfer operator) and it is shown in [31] that there exists a transition parameter such that the series giving the transfer operator with parameter is divergent if and convergent, even a bounded operator, if . Moreover, it allows us to get precise estimates for the transfer operator and of the transition parameter in terms of the fractal geometry of the singularity over infinity. Using them, we are able to construct entire functions for which the transfer operator at its transition parameter is convergent. We do this in fact by constructing first a model function (Sections 3-6) and then (Sections 7-10) carry all the properties over to an entire function using the approximation method of Rempe in [38].
It turns out that our approach also answers several other open questions. The first result answers positively the question in Remark 3.7 in [8] (see Section 11 for the precise definitions of the notions in the following results such as topological pressure and conformal measure).
Theorem 1.2**.**
For every there exists a disjoint type and finite order entire function whose transfer operator has transition parameter , such that the transfer operator is convergent at and such that the topological pressure at is strictly negative. Consequently, the topological pressure of has no zero.
We also can complete the picture concerning the behavior of the hyperbolic dimension. For an entire function having a tract of sufficiently nice geometry it is known that where this time is a transition parameter of restricted to this tract (see [28]). Moreover, when then (this strict inequality has previously been obtained in full generality in [9]). The functions in the present paper show that strict inequality between the hyperbolic dimension and the transition parameter is no longer true as soon as . The case was studied by Rempe-Gillen in [38] where a disjoint type function of finite order and with hyperbolic dimension equal to two was constructed.
Theorem 1.3**.**
For every there exists a disjoint type and finite order entire function with a single quasidisk tract and whose hyperbolic dimension attains the minimal possible value .
Finally, the functions of Theorem 1.3 also explain that hyperbolic, even disjoint type, entire functions can behave like the very flexible, since locally defined, irregular conformal iterated function systems (see [27]).
Theorem 1.4**.**
For every there exists a disjoint type and finite order entire function such that and such that does not have a conformal measure supported on its radial Julia set.
Acknowledgement: The authors thank the anonymous referee whose remarks, comments, and suggestions allowed us to improve the final exposition of the paper.
2. Preliminaries
Let be the open disk with center and radius . When the center is the origin, we also use the notation and then the complement of its closure will be denoted by
[TABLE]
We also consider the half-spaces
[TABLE]
When , then we also write for .
2.1. Order and singularities
Let be an entire function. The order of is defined by
[TABLE]
and is called of finite order if .
Iversen’s classification of singularities is very well explained in [11]. An entire function can have two types of singular values: is a critical value if for some with and and is an asymptotical value if there exists a curve tending to infinity and such that as , . In this case there exists for every an unbounded connected component of such that if and . Such a choice of components is called singularity over and it is called logarithmic singularity in the particular case when is a universal covering for some . The set of critical values and of finite asymptotic values of will be denoted by .
We consider functions of the Eremenko–Lyubich class that consists of entire functions for which is a bounded set. These functions are also called of *bounded type. *If , then there exists such that . Then consists of mutually disjoint unbounded Jordan domains with real analytic boundaries such that is a covering map (see [19]). Thus, an entire function of class has only logarithmic singularities over infinity. The connected components of are called tracts or, more precisely, logarithmic tracts and the restriction of to any of these tracts has the special form
[TABLE]
is a conformal map fixing infinity. In the following we use for every the notation so that, in particular,
[TABLE]
In this work we construct entire functions of class having just one particular tract .
2.2. Model functions
Besides globally defined entire functions we also consider holomorphic functions that are only defined in a unbounded simply connected domain where it has the form (2.2). Such functions are called models and the following is a simple version of the general definition, see Bishop [14, 15].
Definition 2.1**.**
A model is a holomorphic map
[TABLE]
where is a simply connected unbounded domain, called tract, such that is a connected subset of where and where is a conformal map fixing infinity:
[TABLE]
In general, a model function can clearly not be extended to an entire function but it can be approximated by entire functions in various ways (see [14, 15, 38]). Since we use intensively [38] we provide all necessary properties of this approximation in Section 7.
2.3. Dynamical preliminaries
All relevant informations on the dynamics of transcendental functions can be found in Bergweiler’s survey [10]. As for rational functions, the Fatou set of an entire function is the set of points of the plane that admit a neighborhood on which the iterates , , are normal with respect to the spherical metric. The complement is the Julia set of .
An entire function is called hyperbolic if there is a compact set such that
[TABLE]
and is a covering map. This extends naturally the notion of hyperbolicity of the rational to the transcendental case since, according to Theorem 1.3 in [39], an entire function is hyperbolic if and only if the postsingular set
[TABLE]
is a compact subset of the Fatou set of . Clearly, a hyperbolic function belongs to class .
Disjoint type functions are particular hyperbolic functions. This notion first implicitly appeared in [5] and means that the compact set in the definition of a hyperbolic function can be taken to be connected. In this case, the Fatou set of is connected. For example, if and if there exists a simply connected bounded domain such that
[TABLE]
then is of disjoint type. A particular case for the domain is a disk centered at the origin.
A model is said to be of disjoint type if and, in this case, the Julia set is
[TABLE]
This is consistent with the above definition of the Julia set for disjoint type entire functions.
Concerning the radial Julia set, there are several definitions in the literature (see [30, 36]). It is explained in Remark 4.1 of [30] that these definitions lead to different sets whose difference is dynamically insignificant. In particular they have same Hausdorff dimension. Since we deal only with hyperbolic, in fact disjoint type, entire or model functions, the following definition fits best to our context:
[TABLE]
and clearly this is a Borel set. According to [36], the Hausdorff dimension of this set equals the hyperbolic dimension of .
[TABLE]
Falconer’s book [20] contains all relevant informations on fractal dimensions. One can find the definition of Hausdorff dimension in Section 3 and the one of Minkowski dimension in Section 2.
We will consider an analytic family of maps of the form , where is a given entire function.
Definition 2.2**.**
The functions belong to the same hyperbolic component of if there exists a simply connected domain that contains and such that
- (1)
all the functions , , are hyperbolic and 2. (2)
the functions , , are –stable in the sense of holomorphic motions: there exists a base point and a holomorphic motion identifying the Julia sets and conjugating the dynamics on the Julia sets, i.e. for we have on .
See [25] for the notion of holomorphic motions and of –stability in the setting of analytic families of rational functions.
3. Models with snowflake tract
The restriction of an entire function to a logarithmic tract is an example of a model function. The approach here goes the opposite way. We first construct explicit model functions and then, later in Section 7, use the uniform approximation of Rempe [38] in order to get entire functions having the same required properties.
According to Definition 2.1, it suffices to indicate conformal maps or, equivalently, the inverses in order to define appropriate model functions. Since we will employ the approximation [38], it is necessary to define on a larger domain which will be called extended half plane. Then, is the tract of the model and the larger domain will be called extended tract.
We start by defining the extended half plane . Let for and extend this function to an even and -smooth function such that
[TABLE]
Consider then
[TABLE]
This domain is a regularized version of the domain used in [38]. Let be the conformal map fixing the origin and infinity and such that (see Appendix 12 for the existence of ). Notice that the symmetry of the graph of implies that , .
Let be a conformal map fixing the origin and infinity and set . We then have the following diagram.
{\hat{\mathcal{H}}}$${\hat{\Omega}}$${\cup}$${\quad\qquad\;\;\;\mathcal{H}\supset\mathcal{H}_{\log r}}$${\Omega}$$\scriptstyle{\varphi}$$\scriptstyle{h}$$\scriptstyle{\psi}$$\scriptstyle{\varphi}
So, does depend on . This number will be taken and will be defined in (3.11). Since we will always have , we can make the additional normalization so that, all in all, the conformal map is normalized by
[TABLE]
From the particular form of follows that behaves almost like the identity near infinity. We have collected all required properties of this map in Appendix 12.
We now define appropriately the domains . We recall that in this way we also define the domains , the maps and the model functions and these are in fact defined on the larger extended tract .
We now describe the particular construction of the extended tracts . It is based on a modification of a standard snowflake arc attached at the endpoints and and with the intervals of the -th approximation of length defined as follows. Let
[TABLE]
let , , and define then inductively , , with . If for all then is a standard snowflake arc with dimension . The domain is the connected component of the complement of the curve
[TABLE]
containing the half-line . By construction, .
Now, with as introduced above and since , we get the associated model map
[TABLE]
By construction, is defined on the larger domain . On the other hand, this function is not of disjoint type. In order to remedy this it suffices to translate the curve so that, after translation, . Of course, this implies that since . Such a disjoint type model is given by
[TABLE]
where the precise value of will be fixed in Section 7.
In general, will be the transition parameter of the transfer operator as introduced in [31] but each time we deal with one of the following examples we will have .
Example 3.1**.**
Let and choose the numbers such that
[TABLE]
for some constant .
Remark 3.2**.**
Although this will not be used, it is helpful to have in mind that (3.7) allows to show that the Minkowski dimension of is .
Example 3.3**.**
Let and let . Set
[TABLE]
and let for such that (3.7) holds for some constant .
Clearly, the domains coming from Example 3.3 are special cases of those in Example 3.1.
Standard references on quasiconformal mappings are [1, 4, 24] An important feature is that a –quasiconformal map is –quasisymmetric, with depending on only, which means that
[TABLE]
Moreover, has good Hölder continuity properties: there are constants such that
[TABLE]
and, if , then
[TABLE]
The first inequality (3.8) is mainly Mori’s Theorem, for a precise version see Theorem II.4.3 in [24]. One can find inequality (3.9) in [26, Theorem 3.2].
All these constants do depend quantitatively on each other. In particular, if we deal with a family of uniformly quasiconformal mappings of the plane, meaning that they are all –quasiconformal for some fixed constant , and if the maps are normalized, for example by the requirement that (3.2) holds, then the quasisymmetric and the Hölder constants are also uniform.
A quasicircle is the image of a circle or a line by a quasiconformal map of the plane. We only consider unbounded quasicircles. Such a curve is characterized by the important Ahlfors –point condition: there exists such that
[TABLE]
where is the subarc of with endpoints . It is a well known fact that all the curves defined in (3.4) satisfy this condition uniformly and have uniform quasisymmetric parametrization (for a proof, see for example Lemma 3.1 in [40]):
Fact 3.4**.**
There are constants depending on only such that for all choices of the curve defined in (3.4) satisfies the Ahlfors –point condition with constant and the natural parametrization of is a –quasisymmetry.
Inhere we call natural parametrization the map defined as follows. If and if is the -th approximation of then is the union of intervals , , and we can define as the continuous extension of the map defined by
[TABLE]
The natural parametrization of will be the unique extension to of this map that satisfies the two relations and , .
The quasicircles given by the Examples (3.1) and (3.3) admit uniformly quasiconformal reflections which allows to show that the corresponding conformal maps have normalized and uniformly quasiconformal extension to the plane. Also, there are several extensions, such as the one based on the Beurling-Ahlfors extension [12], of a quasisymmetric parametrization of a quasicircle to a quasiconformal map of the plane with control of the constant. Consequently, the family of natural parameterizations of the curves extend to a family of normalized and uniformly quasiconformal mappings of the plane.
As a first direct consequence of these properties along with the normalisation (3.2) we have the following:
Remark 3.5**.**
The family of all conformal maps normalized by (3.2) (as well as ) corresponding to all possible choices of , , is a normal family and each limit of a convergent sequence of these maps is again a non-constant conformal map.
Indeed, the maps are normalized by (3.2) and they have uniformly quasiconformal extension to the plane. The statement in Remark 3.5 is thus a standard fact for families of normalized uniformly quasiconformal maps and, consequently, Remark 3.5 not only applies to the conformal maps but also to their quasiconformal extensions whose convergent subsequences converge uniformly on every compact subset of the plane.
The normality behavior of these maps allows to precise that the conformal map reflects the self-similarity of the curve :
Lemma 3.6**.**
If then
[TABLE]
and there exists such that for every choice of , , we have .
Proof.
Since, by construction, the map is a conformal self-map of fixing the origin and infinity which immediately implies the validity of the functional relation for some real .
Set where the infimum is taken over all curves as defined in (3.3) and (3.4). If then, for every , there exists , , such that the associated conformal map satisfies the above functional relation with number . We may assume that is a converging sequence. Let be the non-constant limit conformal map of this sequence. Then since . Finiteness of can be shown by a similar normal family argument. ∎
A second direct consequence of Remark 3.5 is that the number in the definition of the tract can be defined such that
[TABLE]
for all conformal maps of this Section. We always assume that this is the case.
We use several standard notations such as the symbols and which mean that the ratio is bounded above respectively bounded above and below by constants that do not depend on the particular choice of the numbers , some of them will depend on and parameters like above. But these are fixed and the same for all models of this paper. In other words, all constants will be uniform for the family of quasidisks , of conformal maps and of models we consider.
Throughout the text when we refer to all models of Section 3 then this refers to the models from Example 3.1 and Example 3.3 with fixed numbers according to (3.3).
4. Estimating the transfer operator
The paper [31] contains a complete treatment of the thermodynamic formalism of disjoint type models and functions. We now collect some properties of the central tool of this theory, the transfer operator. In order to do so, we consider a model . Typically, is one of the examples of the previous section but it can also be the restriction of a convenient entire function to its logarithmic tract.
In the sequel we will work with a particular Riemannian, in fact the cylindrical, metric . The derivative of a holomorphic function calculated with respect to this metric at a point such that is denoted by and is given by the formula
[TABLE]
Given a real number , we define the transfer operator by the usual formula:
[TABLE]
where is any function in , the vector space of all continuous bounded functions defined on . The norm on this space, making it a Banach space, will be the usual sup-norm . Note that if , then and, by the disjoint type assumption, . Thus is well defined for all and, in consequence, is well defined for all provided the series is convergent. Since we work with quasidisk tracts the whole scope of [31] applies and we know in particular that there is a number , called transition parameter, such that the series defining is convergent if and diverges if .
Definition 4.1**.**
The function is of convergence type if the series defining converges for .
The reader should have in mind the following fact (which is a very particular case of Theorem 4.1 in [31]):
Theorem 4.2**.**
Let be a model or an entire function of class having one (or finitely many) tracts all of them being quasidisks. Assume that is of disjoint type. Let and suppose that there exists such that . Then the series defining is uniformly convergent meaning that is a bounded operator of the space .
4.1. Integral means
The transition parameter is precisely determined by the geometry of the boundary of the tract near infinity. For this one considers rescalings of the conformal map given by
[TABLE]
The map is defined on . In particular, all the maps , , are defined on the half space .
Let us consider again one of the examples introduced in Section 3. By self-similarity of the tracts and in view of Lemma 3.6, it suffices to consider only values , . Considering now integral means of the rescalings of we get the required information about the geometry of the boundary of the tract near infinity:
[TABLE]
Of particular importance is the function . Following [31], this function always has a smallest zero and, in the good cases, it has a unique zero and is negative in . In this latter case, the function is said to have negative spectrum and then is the transition parameter of the transfer operator (see Proposition 5.6 and Theorem 4.4 in [31]).
In our case, is a quasidisk and functions with quasidisk tracts have negative spectrum (see Section 5 of [31]). This can be compared to the classical case of a conformal map of the unit disk onto a bounded quasidisk and with the standard integral means function. There, Pommerenke has shown that has a unique zero which is the Minkowski dimension of the boundary of the quasidisk (see Corollary 10.18 in [35]). We will show in Theorem 6.1 that the transition parameter of the transfer operator for our examples is , hence the Minkowski dimension of the snowflake curves in Section 3. This means that the models or entire functions we deal with in the present paper have negative spectrum and their disjoint type versions are in the class defined in [31]. So the whole scope of that paper applies.
4.2. The transfer operator of the models
We now come back to the models introduced in Section 3 and give precise estimates for the transfer operator of these models. The first step, which expresses as an integral, follows Section 4 of [31] and so we can allow us to present only the essential steps.
Let be one of the models introduced in Section 3. Let and set . Fix also
[TABLE]
For we have where . Hence,
[TABLE]
and thus, using bounded distortion,
[TABLE]
where . The first term can be estimated as follows. By quasisymmetry of , since and since we have
[TABLE]
On the other hand, because of bounded distortion. Consequently,
[TABLE]
The integrals over can be estimated using the rescalings introduced in (4.3) with where, we recall, comes from (4.5). Again quasisymmetry of and the fact that show that , . It thus follows from a simple change of variable combined with bounded distortion that
[TABLE]
Since we get, taking ,
[TABLE]
Let , . An elementary calculation shows that
[TABLE]
Choose a maximal number of points in such that
[TABLE]
and such that two consecutive points have distance . Then,
[TABLE]
Finally, it is convenient to replace by . We have
[TABLE]
The first factor is approximately equal to since is a quasisymmetry with , since and since by Lemma 3.6. The same lemma implies that the second term equals and in order to estimate the last factor we introduce
[TABLE]
It follows from Proposition 12.2 in Appendix 12 that . Therefore,
[TABLE]
and, injecting this in the above expression, we get
[TABLE]
Set . We will see in Lemma 4.4 below that . We get all in all
[TABLE]
for all . The factor has obvious geometric meaning. Indeed, assume that is a rectangle containing , and such that
[TABLE]
Set
[TABLE]
Then the following statement immediately follows from bounded distortion and (4.8).
Proposition 4.3**.**
With the previous notations we have
[TABLE]
for all and with comparability constants uniform for all models of Section 3 but depending on the multiplicave constants in (4.9).
In order to exploit this we have to define properly the rectangles . We first need a technical result.
Lemma 4.4**.**
There exists , independent of and such that the following properties hold:
- (1)
For all ,
[TABLE] 2. (2)
* for every and .* 3. (3)
* for every and and the analogue statement also holds if .* 4. (4)
Let be a common bilipschitz constant for the maps , (see Proposition 12.2 in Appendix 12). Then
[TABLE]
Given (4), it is appropriate to define the values
[TABLE]
Proof.
For every , the map is conformal and thus a hyperbolic isometry. This implies that, for every ,
[TABLE]
Taking and we get
[TABLE]
since, by Proposition 12.2, . This shows Item (1).
Item (2) follows from the estimate
[TABLE]
with from Lemma 3.6.
Since the maps are bilipschitz uniformly with , we have the following: if have same sign then
[TABLE]
In particular, which shows Item (3).
Finally, Item (4) follows from Lemma 12.3. ∎
Let be given by Lemma 4.4. This number being fixed, we can now define the rectangles around as follows:
[TABLE]
Notice that (4.9) is satisfied since by Item (1) and Item (4) of Lemma 4.4.
Lemma 4.5**.**
Let be given by Lemma 4.4 and let be defined as above. Then:
- (1)
\bigcup_{n,k}Q_{n,k}\subset\mathcal{U}_{ext}=\Big{\{}0<\Re(\xi)<S_{real}\;,\;\frac{s_{imag}}{2}<|\Im(\xi)|<2S_{imag}\Big{\}}* where*
[TABLE] 2. (2)
There exist and such that
[TABLE]
- (3)
The collection has bounded overlap: there exist such that for every there exist at most indices such that
[TABLE]
Again, all the involved constants are uniform. In particular, the sets and do not depend on the model .
Proof.
An elementary calculation shows that . Combined with the definition of and of we get for every that . Item (1) follows since the assertion concerning the imaginary part is obvious given the definition of the sets .
The second item can be shown as follows. Fix arbitrarily such that . By the definition of the points there exists such that and . The bilipschitz property in Lemma 12.3 implies thus that
[TABLE]
Notice that is a decreasing sequence with limit . On the other hand, and thus there exists , which does not depend on the model , such that
[TABLE]
If we combine this with the definition of the sets and Item (3) of Lemma 4.4 then this gives
[TABLE]
for all . Given (2) of Lemma 4.4, the set
[TABLE]
covers if we set .
We are left to show that the collection has bounded overlap. To start with, suppose that and , are such that . Then necessarily . But
[TABLE]
Put . Clearly so that we get altogether the condition
[TABLE]
which shows that there is a constant such that .
Now, let , fix and consider such that . Then
[TABLE]
It follows from (4.11) that this can happen for at most
[TABLE]
indices where is the bilipschitz constant involved in (4.11).
In conclusion, can happen for at most different indices and, for every fixed , there are at most indices such that contains . Therefore, the collection has bounded overlap with constant . ∎
5. Whitney decompositions
In order to estimate the transfer operator via the sets we will compare them to Whitney decompositions that reflect the geometry of the snowflake curve.
Whitney coverings are standard. Here we use a slight modification of the usual notion. The following definition applies to more general open sets but in this paper we will take where is one of the sets of Lemma 4.5 and where .
Definition 5.1**.**
A collection of sets is a Whitney covering of with respect to if the following holds:
- (1)
* and for all .* 2. (2)
The sets have bounded overlap: there exists such that for every there exist at most indices such that
[TABLE] 3. (3)
The sets are closures of Jordan domains, they are uniformly round and of diameter comparable to the distance to the boundary. The later two conditions mean that there exists and disks such that the following holds for every :
[TABLE]
and
[TABLE]
Fact 5.2**.**
*The Whitney covering property is a conformal, even quasiconformal, invariant. Indeed, quasiconformal mappings preserve the roundness condition 5.1 (with new constant depending on and on the quasiconformal constant only) and (5.2) is also preserved thanks to an estimate of Gehring and Osgood [21] for the quasihyperbolic distance (see the explanation by Koskela in [18, p.210]). *
5.1. Geometric Whitney covering
Let again be one of the domains of Section 3. Consider now a quasiconformal map of the plane such that and such that reflects the geometry of the snowflake curve . It is a quasiconformal extension of the natural parametrization of as explained in Section 3 and it satisfies the relation (3.10). We use this map to produce coverings of the sets
[TABLE]
In the following, is one of the sets and we recall from Lemma 4.5 that do not depend on the model, hence on .
Consider a standard decomposition of given by
[TABLE]
and set
[TABLE]
By Fact 5.2, the collection of all such that is a Whitney covering of with respect to . This covering reflects the geometry of the snowflake, as explained in Lemma 6.1 below. As always, the constants in this result do not depend on the particular snowflake chosen out of the family described in Section 3.
Lemma 5.3**.**
For every set of this Whitney covering of with respect to we have , there exists such that
[TABLE]
and, for some , the number of sets of level is
[TABLE]
where the involved equivalence constants do only depend on the set or respectively.
Proof.
The relation follows from the fact that the quasiconformal map is quasisymmetric and (5.3) is a consequence of the Hölder continuity (3.8). The statement concerning the number of sets of a given level is clear and the involved constants are independent of the model since the sets do not depend on them. ∎
5.2. Conformal Whitney covering
The covering has been introduced in (4.10).
Lemma 5.4**.**
The sets , such that , are a Whitney covering of with respect to . In addition, there exists such that
[TABLE]
Proof.
By Fact 5.2, it suffices to verify that is a Whitney covering with respect to . But this we already checked in Section 4 (see (4.9) and Lemma 4.5).
It remains to justify the inequalities in (5.5). But they follow from and, again, from the Hölder property (3.8). ∎
5.3. Comparing the coverings
In view of estimating the series in Proposition 4.3 we now compare the geometric and conformal Whitney coverings.
Lemma 5.5**.**
There exists a constant such that for every (or ) there are at most indices (respectively ) such that
[TABLE]
Proof.
First of all, there exists such that every set and contains respectively a ball , of radius , Again, this constant is independent of the model of Section 3 since, by uniform quasiconformality, the sets are uniformly round. We recall that this means that the roundness condition (5.1) is satisfied for some fixed constant .
Both coverings being Whitney, (5.6) implies . Therefore, there exists such that, whenever (5.6) holds,
[TABLE]
where is any arbitrary point. The conclusion comes now from the bounded overlap property combined with a volume comparison argument. Clearly in this argument we can exchange the role of the two coverings and thus the proof is complete. ∎
We also have to compare the levels and for sets and that intersect. This is not possible for general domains but here we deal with quasidisks and have good Hölder estimates.
Lemma 5.6**.**
There exists a constant , still independent of the model, such that for every and for which (5.6) holds we have
[TABLE]
Proof.
Assume and are such that (5.6) holds. Then . It follows from Lemma 5.3 and from (5.5) that
[TABLE]
Concerning , we use now the estimate (4.6). Combined with the previous one it gives
[TABLE]
from which the assertion easily follows. ∎
6. Models of convergence type
Let be a model of Section 3 with tract given by Example 3.1. We recall that in this case
[TABLE]
where the involved multiplicative constant does depend on the model .
Theorem 6.1**.**
The transfer operator of is of convergence type (with ) and there exists such that
[TABLE]
for every and every .
Remark 6.2**.**
As explained in Section 8 of [31], Theorem 6.1 implies that for these models the full thermodynamic formalism holds for all so also in the particular case when equals the transition parameter.
Proof of Theorem 6.1.
From Proposition 4.3 we have a precise estimate of which implies
[TABLE]
since . Take and remember from Lemma 4.5 that contains all the sets , hence . Set so that is a Whitney covering of with respect to . In particular, for every there exists such that
[TABLE]
for some uniform constant . It thus follows from Lemma 5.5 that
[TABLE]
We have (Lemma 5.3) which, along with (5.4) of Lemma 5.3 and (6.1), implies that for every
[TABLE]
where .
It remains to show that for and for some . We first provide an appropriate lower bound for the transfer operator starting again from Proposition 4.3. The expression there gives, for every and still with ,
[TABLE]
Since
[TABLE]
we have
[TABLE]
Let and let such that . By (5.5) and (4.6)
[TABLE]
and thus
[TABLE]
Injecting this in the lower estimate of gives
[TABLE]
In view of Lemma 4.5, the sets cover . The same arguments that lead to (6.2) gives
[TABLE]
where, this time, is the set of all the such that . Consequently,
[TABLE]
There exists such that for every the number is comparable to ((5.4) of Lemma 5.3 this times applied with ). On the other hand, and, by (6.1), . Since it follows that is divergent. ∎
7. Approximation
Up to now we have considered particular model functions and have obtained good estimates for their transfer operator. But we really need global entire functions having similar properties. Such functions will be obtained with the help of an approximation result of model functions by entire functions. There are several approximation results, the most general being the quasiconformal approximations by Bishop [15, 14]. We will use Rempe’s uniform approximation [38] which is more restrictive but very precise. It approximates models that are defined on the extended tract . Here is a version of his result.
Theorem 7.1** (Uniform approximation).**
Let be a conformal map fixing infinity and normalized by (3.2) and let . Let be defined by . Let be the component of that is contained in and let . So, and . Put
[TABLE]
Then this formula defines a holomorphic function for and the function defined as
[TABLE]
extends to an entire function in the class . Moreover, the function satisfies the estimate
[TABLE]
where is some constant and where .
7.1. Universality of estimates
We shall use the above approximation for varying model functions , and then pass from the estimates for the model to the estimates for the actual function . It is essential for further estimates to examine the error term , i.e the universality of the constant appearing in the inequality (7.2). In order to check this universality it is sufficient to go carefully through very precise estimates provided in [38].
Indeed, the domain is exactly the one considered in Remark 2 of Section 4 in [38]. This domain is called ”initial configuration”. So, in the case under consideration the ”initial configuration” is fixed.
In Corollary 4.5 in [38] the required estimate for the error function appears:
[TABLE]
for all . The function is in class since
[TABLE]
Here, the constants and depend only on the initial configuration, which is fixed. We may assume that . The point which appears in (7.3) is defined as
[TABLE]
It follows directly from the normal family property of the family of maps as explained in Remark 3.5 that . Thus there exists such that
[TABLE]
for all our examples. In particular, we have the statement of Remark 4.6 in [38]:
[TABLE]
7.1.1. Disjoint type and order
The above estimates allow us to fix the translation constant in (3.6) such that all the models and also the shifted approximation functions defined by
[TABLE]
are of disjoint type. The following lemma shows that this is the case whenever with from (7.5). The precise choice of , in fact of since we will set , will be fixed in (7.9).
Lemma 7.2**.**
Choose an arbitrary and set . Let be any model of Section 3. Then, every entire function associated to by the above construction is of finite order and
[TABLE]
for and for . Consequently,
[TABLE]
Proof.
We first show that is of finite order. Given the definition of the order in (2.1) and the estimate (7.6) it suffices to check that the model function is of finite order, i.e. that
[TABLE]
But for . For we have the Hölder property (3.9) which implies , , and thus
[TABLE]
Let and . Then, by construction of ,
[TABLE]
for all models . In particular .
Concerning , if then, and thus the second inequality in (7.6) applies and gives
[TABLE]
This shows that . The proof is complete. ∎
7.2. Comparing the transfer operators of the model function and of the approximating entire function .
Let be again one of our model functions and let be the approximating entire map in class produced by the construction described in Theorem 7.1.
Lemma 7.3**.**
There exists such that for all ,
[TABLE]
Consequently,
[TABLE]
Here, depends only on the constant from the estimate (7.5).
Proof.
The estimate (7.5) implies
[TABLE]
Since , for we have . Consequently,
[TABLE]
Passing to the derivatives, if then
[TABLE]
and, as , . So,
[TABLE]
Since in , the required estimate relies on the estimate of . In order to estimate it, let and put . Then . This allows to make the estimate
[TABLE]
In order to use the estimate (7.5) for the function we need to estimate . But this can be done by using twice the Hölder continuity property (3.9). It shows that and also that
[TABLE]
Choose now such that c_{1}\big{(}(R_{0}/c_{2})^{1/K}-1\big{)}^{1/K}\geq 4M_{0}. Then, if , the corresponding which enables us to conclude using (7.7):
[TABLE]
which shows the required estimate of the ratio . The estimate for the ratio follows directly, since (and the analogous formula for ). ∎
Assume in the following that is such that Lemma 7.3 holds and let
[TABLE]
Then Lemma 7.2 applies. Also
[TABLE]
since \exp^{-1}\big{(}{\mathbb{D}}^{*}_{\eta/3}\big{)}\cap{\mathbb{D}}_{\log\eta/3}=\emptyset and since (3.9) implies .
The transfer operator has been defined in (4.2). Since we now deal with several functions we write for the transfer operator of a function . We first compare the operators of an initial model and its approximation .
Proposition 7.4**.**
There exists a constant such that the following holds. Let be a model as defined in Section 3, an approximating entire function of given by Theorem 7.1. Then
[TABLE]
and the same holds if , are replaced by their disjoint type versions , .
We thus get first examples of entire functions for which the full thermodynamic formalism holds in the particular case where equals the transition parameter .
Corollary 7.5**.**
The transition parameter is the same for the model and for the approximating entire function . Moreover, is also of convergence type and Theorem 6.1 as well as Remark 6.2, hence the full thermodynamic formalism, meaning that all the results in Section 8 of [31], is also valid for the disjoint type entire function for all .
Proof of Proposition 7.4..
Lemma 7.3 shows that the values of the derivatives of and are comparable at a given point . But, in the formulas defining the operators and the summation runs over preimages of a given point under and , respectively. So, in order to compare and , the preimages of under and will be ”paired” and the derivatives of and on these paired preimages will be compared.
Let . Then all preimages of under the model map are in and
[TABLE]
Take the circle centered at , with radius , and for each let be the preimage of under , surrounding . Finally, put . Notice that the domain bounded by contains exactly one preimage of under the map ; this is the point .
On each curve we have that , while
[TABLE]
where comes from (7.5). From (7.10) we know that since . Hence, the right hand inequality of (7.11) is strictly less than . This allows to conclude via Rouché’s Theorem that has exactly one preimage in the region bounded by . Denoting this preimage by , we need to compare and . But this directly follows from Koebe’s Distortion Theorem and Lemma 7.3, and the constant in Proposition 7.4 is exactly a Koebe constant times an absolute one. This gives the first part of the required estimate, i.e.
[TABLE]
The second part of the estimate can be obtained in a similar way: Let . Since , the disk does not contain singular values of , and is a countable union of Jordan domains each of them being mapped bijectively and with bounded distortion onto .
If then . It thus follows from (7.6) that and thus all the domains . Moreover, still using (7.6),
[TABLE]
since . This allows to apply (7.10) and thus to get .
On the curve bounding we have , while
[TABLE]
Again, Rouche’s theorem implies that has exactly one preimage of in each domain . Applying again Koebe’s Distortion Theorem and Lemma 7.3, we obtain the desired inequality:
[TABLE]
Let us finally consider the disjoint type functions . If is a pair of preimages of under then, clearly, is a pair of preimages of and respectively and we have
[TABLE]
with involved multiplicative constants independent of the functions, of the point and of the pair of preimages. This clearly completes the proof of Proposition 7.4. ∎
There is also a relation between the transfer operator of the functions and their disjoint type version.
Lemma 7.6**.**
Let . Then
[TABLE]
Proof.
This follows from an elementary estimation based on (3.11) and on
[TABLE]
∎
8. Topological pressure and Bowen’s Formula
Let be a disjoint type model or entire function and consider again its tranfer operator. By Theorem 8.1 of [31] the limit
[TABLE]
exists and, by bounded distortion, it does not depend on (for sufficiently large). This limit is called topological pressure and for a convergence type function the pressure is finite. The basic properties is that is a convex and strictly decreasing function on with if , is finite if and . Consequently, the map has a unique zero provided there exists such that .
We refer to [28] for the notion of Hölder tract. All what is needed here is that the tracts of our examples have this property since they are quasidisks.
Proposition 8.1**.**
Assume that the disjoint type entire function has only one logarithmic tract, assume that this tract is Hölder. Then
[TABLE]
Proof.
Consider first the case that for some in which case the pressure has a unique zero . The assumptions on imply that [31] applies to them and, in this case, the statement in Proposition 8.1 is exactly the Bowen’s Formula in [31] which states that
[TABLE]
It remains to consider the case where for and, clearly, for . We then have to show that
[TABLE]
The Hölder tract assumption along with [28] gives no matter how behaves. For the other inequality, let us first recall that the thermodynamic formalism of [31] applies to for every parameter . In particular, there exists –conformal measure which allows to employ Lemma 8.1 in [29]. This Lemma gives the required estimate since it shows that whenever . ∎
9. Convergence type entire functions with positive pressure
For the models of the previous section the topological pressure, introduced in (8.1), is finite for every but certainly we may have . Here we consider the disjoint type versions of the models given by Example 3.3 and show that they have positive pressure for and even for slightly larger values of provided the number in Example 3.3 has been chosen sufficiently large. We then also show that this property is true for the disjoint type approximating entire functions.
We recall that the models of Example 3.3 are special cases of those of Example 3.1. Therefore, they are of convergence type with and Theorem 6.1 applies.
Proposition 9.1**.**
Let be a model of Example 3.3 and let . Then, for sufficiently large there exists such that
[TABLE]
where , the disjoint type version of , and also if , the disjoint type version of the entire function approximating .
Proof.
First, we establish an auxiliary estimate for the initial model function . We shall prove that, choosing sufficiently large in the model in Example 3.3, one can find such that
[TABLE]
and for some , where and with from Lemma 7.6.
In order to establish (9.1), let be maximal such that , and let be determined by the inequality . Consider any and set where is given by (7.9). Let be again the maximal integer such that . Notice that
[TABLE]
We have to estimate and, in order to do so, we first describe the preimages that are in the disk . We have where and where for some . Selfsimilarity of (Lemma 3.6) yields
[TABLE]
On the other hand, since (see Proposition 12.2) and thus and . Denote by the constant in the last inequality, meaning that it becomes . Then, by the choice of , we see that if . This is the case if and thus, because of (9.2) and since we will take large, it thus suffices to have .
Given this discussion on the preimages of , we get out of the expression of in Proposition 4.3 that
[TABLE]
The sets can now be replaced by the covering precisely like we did in the proof of Theorem 6.1. More precisely, we use (6.3) with the difference that we deal here with a finite sum:
[TABLE]
and we must specify the new set of indices over which the summation goes. In order to do so, we recall first that the sets cover . Therefore, if is such that then there exists such that and then, by Lemma 5.6, . We can thus take
[TABLE]
where comes from Lemma 5.3.
By (5.4) of Lemma 5.3, for every the number of indices in is comparable to . Also, and for the models of Example 3.3 we have {\rm l}_{m}=\big{(}\frac{1}{e}\big{)}^{m} if . Consequently, if is large enough, we get all in all
[TABLE]
which is arbitrarily large provided we take and provided that is sufficiently large.
Coming now to the associated disjoint type model , and using Lemma 7.6 we can translate the estimate (9.1) to the case of as follows:
[TABLE]
Indeed, if and if then where . Moreover, if then . Combining now (9.1) with the estimate in Lemma 7.6 we obtain directly the required (9.4).
But now, since is of disjoint type, and, in particular , (9.4) allows us to conclude inductively:
[TABLE]
Therefore, .
It remains to verify that the entire function also has positive pressure at . Proposition 7.4 compares the operators of and but with transfer operators applied to the constant function and we have to replace it by . So let , consider a pair of preimages of under respectively defined exactly like in the proof of Proposition 7.4. Then are corresponding preimages of under respectively. It is explained in this proof that, given , there exists a unique which is in the region bounded by . An elementary estimation shows that . Since fixes the origin and is uniformly quasisymmetric, it follows that there exists a constant such that
[TABLE]
If again then
[TABLE]
Since Lemma 7.6, in fact (7.12), is also valid for instead of , we get
[TABLE]
the last inequality resulting from the proof of Proposition 7.4. In conclusion, in order to get (9.1) for the function it suffices to adjust the number so large such that is sufficiently large on which is possible because of (9.3). ∎
10. Proof of Theorem 1.1
Let be a model such that the associated disjoint type entire function has positive pressure (Proposition 9.1). Consider the analytic family of entire functions:
[TABLE]
Proposition 10.1**.**
The functions , do all belong to the same hyperbolic component of the parameter space of .
Proof.
By Lemma 7.2 the tract of satisfies . Clearly, for every , and thus . Therefore, all the functions , , are of disjoint type and thus hyperbolic.
It remains to find a simply connected domain that contains along with a holomorphic motion , , that identifies the Julia sets and conjugates the dynamics of and . But this has been shown in Section 3 of the paper [37] by Rempe. ∎
Proposition 10.2**.**
There exists such that
[TABLE]
for every .
Proof.
Again by Lemma 7.2, , . In particular, for all these parameters and it suffices to study the transfer operator on .
Notice that for every where . On the other hand, Proposition 7.4 and Lemma 7.6 imply for the operator of the generating function
[TABLE]
still on . Moreover, we have Theorem 6.1 which implies, for every ,
[TABLE]
Combining all these relations and taking we get
[TABLE]
for every and every . Since we can choose small enough so that
[TABLE]
Then
[TABLE]
which implies that whenever .
∎
Proof of Theorem 1.1.
Given Proposition 10.1 and the fact that is of finite order (Lemma 7.2), it remains to show that the hyperbolic dimension does not vary analytically. We know from Proposition 9.1 that for some . In this case, the Bowen’s Formula in Proposition 8.1 shows that
[TABLE]
On the other hand, for all where comes from Proposition 10.2. Again Proposition 8.1 shows then that
[TABLE]
Consequently, is not an analytic function. ∎
11. Irregular hyperbolic functions in Class
In this section we proof Theorem 1.2, 1.3 and 1.4. First of all, all our examples share the particular value . But clearly the snowflake construction can be modified in order to get functions with the same behavior and with any value in . The only modification is the choice of the numbers where then have to be fixed such that (3.3) is replaced by
[TABLE]
So, we can restrict the discussion here to the particular value .
We know from Lemma 7.2 that all the entire functions we consider are of finite order. From Proposition 10.2 we directly get functions that fulfill the requirements of Theorem 1.2. Combining it with the Bowen’s Formula of Proposition 8.1, Theorem 1.3 also follows. The remaining point is to show the affirmation concerning the conformal measure in Theorem 1.4.
In view of establishing it we need some preliminary considerations on the choice of the Riemannian metric and to clarify the notion of conformal measure. Up to now we have used the cylindrical metric in order to evaluate the derivatives (see (4.1)). This choice is related to the logarithmic coordinates in [19] and it allows to get a bounded transfer operator as defined in (4.2). However, it is sometimes more convenient to make a different choice. For example, employing the spherical metric allowed the authors in [7] to get the most general Bowen’s Formula.
Consider a general Riemannian metric on , denoted by the derivative with respect to it and let us have in mind the particular choices
[TABLE]
The cylindrical metric as written has a singularity at the origin, a problem that we can neglect since we work far away from it especially in the case of disjoint type functions.
Definition 11.1**.**
Let be an entire function. A finite measure is said to be –conformal with respect to the metric if for every Borel set such that is injective we have
[TABLE]
As defined, such a measure is sometimes also called geometric conformal measure since such a measure is commonly used to analyse the geometry of the Julia set.
The topological pressure with respect to the cylindrical metric has been defined in (8.1). If denotes the operator defined by Formula (4.2) but with replaced by and if we inject this operator in (8.1) then this defines the topological pressure with respect to the metric :
[TABLE]
A priori, the transition parameter can depend on the metric. In the case of the cylindrical or spherical metric we also write , respectively , . Recall that for our examples and, right from the definition of the pressures, it is clear that
[TABLE]
hence . Given these notations, we can now show the following result which contains Theorem 1.4.
Theorem 11.2**.**
For every there exists a disjoint type entire function of finite order with transition parameter , with and which does not have a spherical nor cylindrical conformal measure supported on its radial Julia set.
Proof.
Again, we treat the case . Let be the disjoint type entire function of finite order from Proposition 10.2. This function has negative cylindrical pressure at and thus
[TABLE]
Bowen’s Formula (Proposition 8.1) implies then that . We also dispose in the same Bowen’s Formula with respect to the spherical metric ([9]) so that
[TABLE]
Combined with (11.1) and with the continuity of on we get that
[TABLE]
and thus for and if .
Now, assume that this map has a spherical –conformal measure supported on for some . Then necessarily and by Theorem A in [8]. But this is not possible as we have seen just above and thus such a conformal measure cannot exist.
The analogue for the cylindrical conformal measure also follows. Indeed, assume that is a cylindrical –conformal measure supported on for some . Then
[TABLE]
would define a finite spherical –conformal measure supported on . But such a measure cannot exist if (see Proposition 3.3 in [8]). ∎
12. Appendix
Throughout the paper we used good bilipschitz properties of and of the rescaled functions . They follow from the fact that has continuous extension to the boundary and this follows from the smoothness of the boundary of . Indeed, the relation between continuous extension of the derivative of a conformal map to the boundary and the geometry of the boundary is the object of Section 3 in Pommerenke’s book [35]. The relevant fact for our application is that the derivative of a conformal map from the unit disk onto the inner domain of a Jordan curve has continuous extension to the boundary if is Dini-smooth (see Theorem 3.5 in [35]). This means that admits a parametrization whose derivative is Dini-continuous:
[TABLE]
where the modulus of continuity of on a set is defined by
[TABLE]
The domain and a boundary parametrization has been defined in (3.1). In fact, . Since is –smooth we only have to check what happens near infinity. In order to do so, consider defined by and
[TABLE]
Lemma 12.1**.**
The domain is Dini-smooth.
Proof.
The function with and
[TABLE]
Given this derivative, a direct calculation gives for the modulus of continuity which shows that . ∎
Theorem 3.5 in [35] therefore applies and gives that the derivative of defined by has continuous extension to the boundary of the inverse of the domain . In particular exists and in fact because this corresponds to the normalization that we assumed in Section 3.
Remember that we introduced the rescaled maps
[TABLE]
in Section 4.2.
Proposition 12.2**.**
* and uniformly in and and the maps are uniformly bilipschitz. Moreover, when restricted to , then the bilipschitz constant of the maps , , satisfies as . Finally,*
[TABLE]
Proof.
The assertion on the derivatives holds since we checked that the domain is Dini-smooth (Lemma 12.1) which then allows to apply Theorem 3.5 in [35]. From this we also get the bilipschitz property since the domains and have sufficiently good convexity properties and results from .
Concerning the last statement, consider and let be the limit of a convergent subsequence. Then in and so is non-constant, hence a conformal self map of . Again since in and since for every , is the identity map. ∎
Lemma 12.3**.**
[TABLE]
Proof.
Remember that , . This symmetry implies that and thus Lemma 12.3 follows directly from the fact that is –bilipschitz. ∎
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] Lars V. Ahlfors. Lectures on quasiconformal mappings , volume 38 of University Lecture Series . American Mathematical Society, Providence, RI, second edition, 2006. With supplemental chapters by C. J. Earle, I. Kra, M. Shishikura and J. H. Hubbard.
- 2[2] James W. Anderson and André C. Rocha. Analyticity of Hausdorff dimension of limit sets of Kleinian groups. Ann. Acad. Sci. Fenn. Math. , 22(2):349–364, 1997.
- 3[3] K. Astala and M. Zinsmeister. Holomorphic families of quasi-Fuchsian groups. Ergodic Theory Dynam. Systems , 14(2):207–212, 1994.
- 4[4] Kari Astala, Tadeusz Iwaniec, and Gaven Martin. Elliptic partial differential equations and quasiconformal mappings in the plane , volume 48 of Princeton Mathematical Series . Princeton University Press, Princeton, NJ, 2009.
- 5[5] Krzysztof Barański. Trees and hairs for some hyperbolic entire maps of finite order. Math. Z. , 257(1):33–59, 2007.
- 6[6] Krzysztof Barański. Hausdorff dimension of hairs and ends for entire maps of finite order. Math. Proc. Camb. Phil. Soc. , 145:719–737, 2008.
- 7[7] Krzysztof Barański, Boguslawa Karpińska, and Anna Zdunik. Bowen’s formula for meromorphic functions. Ergodic Theory Dynam. Systems , 32(4):1165–1189, 2012.
- 8[8] Krzysztof Barański, Boguslawa Karpińska, and Anna Zdunik. Conformal measures for meromorphic maps. Ann. Acad. Sci. Fenn. Math. , 43(1):247–266, 2018.
