Zero-dimensional compact metrizable spaces as attractors of generalized iterated function systems
{\L}ukasz Ma\'slanka, Filip Strobin

TL;DR
This paper explores the representation of zero-dimensional compact metrizable spaces as attractors of generalized iterated function systems (GIFS), extending classical fractal theory and providing new examples of GIFS attractors beyond traditional IFSs.
Contribution
It proves that all zero-dimensional compact metrizable spaces can be realized as GIFS attractors on the real line, including spaces not homeomorphic to IFS attractors, and analyzes their embedding properties.
Findings
Every zero-dimensional compact metrizable space is homeomorphic to a GIFS attractor on the real line.
Such spaces can be embedded as attractors of GIFS of order m but not of order m-1.
Most compact subsets of Hilbert spaces are not attractors of any Banach GIFS.
Abstract
Miculescu and Mihail in 2008 introduced the concept of a \emph{generalized iterated function system} (GIFS in~short), a particular extension of the classical IFS. The idea is that, instead of families of selfmaps of a metric space~, GIFSs consist of maps defined on a finite Cartesian {-th power} with values in (in such a case we say that a GIFS is \emph{of order} ). It turned out that a great part of the classical {Hutchinson theory} has natural counterpart in this GIFSs' framework. On the other hand, there are known only few examples of~fractal sets which are generated by GIFSs, but which are not IFSs' {attractors}. In the paper we study -dimensional compact metrizable spaces from the perspective of GIFSs' theory. We prove that each such space (in particular, countable with limit {scattered} height) is homeomorphic to the~attractor of some GIFS on the real…
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Taxonomy
TopicsMathematical Dynamics and Fractals · advanced mathematical theories · Advanced Topology and Set Theory
Zero-dimensional compact metrizable spaces as attractors of generalized iterated function systems
Filip Strobin — Łukasz Maślanka
Filip Strobin
Institute of Mathematics
Lodz University of Technology
Łódź, POLAND
Łukasz Maślanka
Institute of Mathematics
Lodz University of Technology
Łódź, POLAND
Abstract.
In the last years, the problem of considering [math]-dimensional compact metrizable spaces as attractors of iteration function systems has been undertaken by several authors, for example by T. Banakh, E. Daniello, M. Nowak and F. Strobin. In particular, it was proved that such a space is homeomorphic to the attractor of some IFS iff it is uncountable or it is countable but the scattered height of is successor ordinal. Also, it was shown that in this case, a space can be embedded into the real line as the attractor of an IFS on , as well as can be embedded as a nonattractor of any IFS.
Miculescu and Mihail in 2008 introduced the concept of a generalized iterated function system (GIFS in short), a particular extension of the classical IFS. The idea is that, instead of families of selfmaps of a metric space , GIFSs consist of maps defined on a finite Cartesian -th power with values in (in such a case we say that a GIFS is of order ). It turned out that a great part of the classical Hutchinson theory has natural counterpart in this GIFSs’ framework. On the other hand, there are known only few examples of fractal sets which are generated by GIFSs, but which are not IFSs’ attractors.
In the paper we study [math]-dimensional compact metrizable spaces from the perspective of GIFSs’ theory. We prove that each such space (in particular, countable with limit scattered height) is homeomorphic to the attractor of some GIFS on the real line. Moreover, we prove that can be embedded into the real line as the attractor of some GIFS of order and (in the same time) a nonattractor of any GIFS of order , as well as it can be embedded as a nonattractor of any GIFS. Then we show that a relatively simple modifications of deliver spaces whose each connected component is “big” and which are GIFS’s attractors not homeomorphic with IFS’s attractors. Finally, we use obtained results to show that a generic compact subset of a Hilbert space is not the attractor of any Banach GIFS.
Key words and phrases:
iterated function systems; generalized iterated function systems; fractals; generalized fixed points; scattered spaces; Cantor-Bendixson derivative; [math]-dimensional spaces
2010 Mathematics Subject Classification:
Primary: 28A80; Secondary: 37C25, 37C70
1. Introduction
The classical Hutchinson theorem (proved by Hutchinson [16] and popularized by Barnsley [5]) from early 80s’ states that if is a complete metric space and is a finite family of Banach contractions (that is, selfmaps with the Lipschitz constants ), then there is a unique nonempty and compact such that
[TABLE]
In this setting, a finite family of continuous selfmaps of is called an iterated function system (IFS in short), and a set satisfying (1) is called an attractor or a fractal generated by (commonly, fractal sets are assumed to have nontrivial structure which can be witnessed for example by its fractional dimension; we use more general approach - IFS fractals are all attractors of IFSs). It is well known that the thesis of the Hutchinson theorem holds under weaker contractive assumptions on (like these due to Browder [7] or Matkowski [20], see for example [15]), which, in case of compact space , reduce to the Edelstein contractivity (see [13]):
[TABLE]
We will call an IFS consisting of Banach contractions as a Banach IFS and consisting of weaker types of contractive maps - as a weak IFS. Also, for a given IFS , we denote .
By a topological IFS fractal or a topological fractal for short (see [17], [26]; in [17] it is called a topological self similar set) we will mean a compact Hausdorff space such that for some IFS , and for every sequence , the set
[TABLE]
(called sometimes a fibre), is singleton. As was proved in [2] and [24], is a topological IFS fractal iff is homeomorphic to the attractor of some weak IFS (in particular, it is metrizable). Finally, let us note that topological IFS fractals are attractors of so-called topologically contracting IFSs, studied in mentioned papers.
In the last years, there has been an effort to detect those sets (especially, subsets of Euclidean spaces) and topological spaces which are IFSs’ fractals or topological fractals. In particular, in [27] Magdalena Nowak proved the following theorem (see Section 3.1 for the definition of the scattered height).
Theorem 1.1**.**
[27*, Theorem 2, Corollary 1]** Let be a countable compact metrizable space.
(1) The following conditions are equivalent:*
- (i)
* is topological fractal;*
- (ii)
* can be embedded into the real line as the attractor of a Banach IFS;*
- (iii)
the scattered height of is successor ordinal.
(2) If is infinite, then it can be embedded into the real line as a nonattractor of any weak IFS.
Recently, Banakh, Nowak and Strobin in [4] (see also [3] for a bit weaker result) proved that, additionally:
Theorem 1.2**.**
Each uncountable [math]-dimensional compact metrizable space can be embedded into the real line as the attractor of a Banach IFS that consists of two maps.
A bit earlier, D’Aniello and Steele [9] proved an analogous result, but the IFSs they constructed consist of more than two maps.
An interesting generalization of the Hutchinson theory of fractals was introduced by Miculescu and Mihail in 2008 – instead of selfmaps of a metric space, they considered mappings defined on a finite Cartesian power of a given space with values in that space.
Let and be a metric space. If not stated otherwise, on the Cartesian -th power we will consider the maximum metric , i.e.,
[TABLE]
We say that a map is * a generalized Banach contraction* if the Lipschitz constant , that is, there exists such that for any ,
[TABLE]
Miculescu and Mihail in [22] and [25] proved that if is complete, and is a finite family of generalized Banach contractions , then there is a unique nonempty and compact such that
[TABLE]
In this setting, a family of continuous maps is called a generalized iterated function system of order (GIFS in short), and a unique nonempty and compact set satisfying (2) is called the attractor or the fractal generated by .
After the papers of Miculescu and Mihail, other aspects of the theory of GIFSs and their fractals were considered, especially by them, Secelean and Strobin, see for example papers [22], [23], [28], [29], [30], [31] and references therein. In particular, it was proved that GIFSs consisting of weaker contractive type mappings also generates a unique fractal sets (see [29]; also cf. [22]). Again, for compact , these conditions reduce to the following:
[TABLE]
If a GIFS consists of generalized Banach contractions, then we call it a Banach GIFS, and if it consists of weaker type of generalized contractions - we call it a weak GIFS. Similarly, for a GIFS , we set .
One of the problems considering GIFSs is the following:
Is the class of GIFSs’ attractors essentially wider than the class of IFSs’ attractors?
and, related to it,
Which sets/spaces are attractors of some GIFS?
Several interesting examples were given. In [23] it was observed that the Hilbert cube is generated by a Banach GIFS of order defined by
[TABLE]
and
[TABLE]
On the other hand, it cannot be generated by any Banach IFS, as it has infinite dimension. However, to our best knowledge, it is not known whether is the attractor of a weak IFS or a topological fractal.
In [31], for each , there is constructed a Cantor subset of the plane, which is generated by some Banach GIFS on the plane of order , but is not generated by any weak GIFS of order . Also, there is constructed a Cantor set which is not the attractor of any weak GIFS. On the other hand, each such and are homeomorphic to the Cantor ternary set, hence they are homeomorphic to the attractor of a Banach IFS (in particular, they are topological fractals).
The aim of this paper is to study [math]-dimensional compact metrizable spaces from the perspective of GIFSs’ theory. It is organized as follows.
In the first part of the next section we show some simple, but useful observations concerning GIFSs and we also prove that certain quotients of topological fractals are also topological fractals.
In Section 3 we construct a wide class of metric spaces, -spaces, which will be key in the proofs of main results. Also, we prove some basic properties of these spaces.
In Section 4 we prove that each compact [math]-dimensional metrizable space can be embedded into the real line as the attractor of a Banach GIFS of order . In particular, if is countable and its scattered height is limit ordinal, then we obtain the attractor of a Banach GIFS which is not a topological fractal.
In the main result of Section 5 we prove that for any , each infinite compact metrizable [math]-dimensional space can be embedded into the real line as the attractor of a Banach GIFS of order and a nonattractor of any weak GIFS of order , and also can be embedded into the real line as a nonattractor of any weak GIFS. This extends both mentioned results from [31] and part (2) of Theorem 1.1.
In Section 6 we show that, replacing points in certain countable compact spaces by appropriately “big” sets, we obtain next examples of Banach GIFSs’ fractals which are not topological fractals.
Finally, in Section 7 we use earlier machinery to prove that a generic compact subset of a Hilbert space is not the attractor of any Banach GIFS.
2. Basic definitions, observations and auxiliary constructions
2.1. Remarks on IFSs and GIFSs
Here we make some simple observations which we will use later. The first one is obvious and we skip the proof.
Lemma 2.1**.**
*Let be a metric space, and for , be a generalized Banach contraction. Take and for each , define by , and set . Then:
(1) is a Banach GIFS of order and .
(2) If is nonempty and compact, and , then is the attractor of .*
The second lemma shows that in a certain cases, we can extend maps from a given GIFS to some wider space.
Lemma 2.2**.**
Assume that is a Hilbert space, is nonempty and compact, and is a Banach GIFS on of order with so that is its attractor. Then for every , there is its extension such that is a Banach GIFS with , whose attractor is .
Proof.
Take , and denote by the metric on , that is, . Clearly,
[TABLE]
Hence , and since is a Hilbert space (more precisely, the metric is generated by appropriate norm), using the Kirszbraun-Valentine theorem (see [6, Theorem 1.12]), we can extend the map to the map so that . Then, again by (3), . Hence the GIFS satisfies . The second part of the thesis is obvious. ∎
Remark 2.3**.**
Let us remark that similar result holds for space - if , then any map with can be extended to a map with (see [6, Lemma 1.1(ii)]).
The next lemma shows that if two GIFS’s fractals are appropriately separated, then their union is also a GIFS fractal.
Lemma 2.4**.**
Assume that is a compact metric space of the form , such that
- (a)
* are attractors of some Banach GIFSs of order , , respectively;*
- (b)
there are projections , , such that .
Then is the attractor of some Banach GIFS of order with , and which consists of certain extensions of maps from .
Proof.
Take , and consider the map by Then, obviously, is an extension of and . Then it is enough to take . ∎
Remark 2.5**.**
Observe that condition (b) holds if
- (c)
.
Indeed, let the projection maps be given by \pi_{i}(x):=\left\{\begin{array}[]{ccc}x,&\mbox{if }x\in X_{i}\\ \tilde{x}&\mbox{otherwise}\end{array}\right., where is an initially chosen point of . Then for and , where , we have
[TABLE]
so and (b) is satisfied.
The following lemma is an extension of [27, Lemma 1].
Lemma 2.6**.**
Assume that and a metric space is of the form , where:
- (i)
each is isometric copy of ;
- (ii)
* for distinct .*
If is the attractor of a weak GIFS of order , then is the attractor of a weak GIFS of order .
Proof.
For , let be an isometry. Suppose that is a GIFS of order such that . For every and , let be defined by
[TABLE]
where is an initially chosen point of . Clearly, . We will show that each . Take such that .
If belong to distinct , then by assumption (ii), we have
[TABLE]
[TABLE]
[TABLE]
If then
[TABLE]
[TABLE]
In remaining cases we proceed in a trivial way. ∎
2.2. Quotients of topological fractals
We first show that if is a topological fractal, then also its certain quotient space is a topological fractal (in fact, this result was proved during preparations of the paper [2], but it was not published). We start with recalling some basic facts about quotient spaces (see [14]). Let be a topological space and be an equivalence relation on . By we denote the equivalence class containing , by , the set of all equivalence classes, and by , the map . If is the topology on , then the quotient topology on is defined by that is, is the richest topology so that is continuous.
If , then by let us denote the connected component containing , that is, the union of all connected subsets of which contains . It is well known (again, see [14]) that two different connected components are disjoint, hence the relation defined by iff belong to the same connected component, is equivalence relation. Moreover, each connected component is connected and closed.
Theorem 2.7**.**
If is the topological fractal for an IFS , then is the topological fractal for the IFS , where for each and , .
Proof.
As the image of connected set via a continuous function must be connected, and connected components are connected, the map defined in thesis is well defined. We will show that it is continuous. Let be open in . Then is open as and are continuous. Hence is open in and is continuous. Now observe that
[TABLE]
Take . Then for some and , , so . We get (4).
Finally, take any sequence . We will show that is singleton. Let be any element of this intersection. Then for every , there exists such that
[TABLE]
In particular, . In particular, . Now for , let . Since is topological fractal, it is compact metrizable and by the first observation, has a convergent subsequence whose limit (as is closed). But by the second one, this limit must belong to . Hence if is different from and contained in , we would also find contained in . As , this would be a contradiction.
Finally, is compact and Hausdorff - see for example [19, Chapter V.§46.Va]. ∎
3. -spaces
If , then we define the length of by , if , then we set , and also we put . If , then we set (and also ). If are sequences, then we write , if for some . Finally, if are sequences such that , then by we denote the concatenation of and .
If is a set and , then by , and we denote the families of all countable infinite, finite and of the length sequences of elements of , respectively.
Let . We say that a nonempty set is a tree, if for every and , also . If is a tree, then the boundary of is defined by
[TABLE]
Observe that can be identified with a family of all maximal -linearly ordered subsets of . Moreover, consists of all finite sequences from , and - of all infinite sequences from .
We say that a tree is proper, if
- (pi)
for every which ends with , it holds ;
- (pii)
for every and , .
By we will mean the maximal proper tree, that is, the tree which consists of the empty sequence and all sequences so that for . In this case, the boundary consists of all finite sequences which ends with and all infinite sequences of elements of .
We say that a sequence of positive reals is good, if and
[TABLE]
It is easy to see that in this case
[TABLE]
and for every ,
[TABLE]
The above conditions looks artificial but, as we will see, they will be needed at some places later (even more technical assumptions will be made in Section 5). On the other hand, restricting to good sequences will not decrease the generality of our constructions.
Finally, for every , define . Clearly, is a good sequence, and .
For a sequence , we set by (we assume )
[TABLE]
Now, relying on the above notations, we will define a certain class of metric spaces. All our next consideration will base on it.
Definition 3.1**.**
Let be a proper tree and be a good sequence. A compact metric space will be called a -space, *if is of the form , where and:
for every ,**
- (i)
is nonempty, compact and contained in for every ;
for every ,
- (ii)
;
- (iii)
for every , \operatorname{dist}{\big{(}}X_{\eta\hat{\;}k},\bigcup_{k<j\leq\omega}X_{\eta\hat{\;}j}{\big{)}}\geq b_{l(\eta)+k-1}-2b_{l(\eta)+k}-b_{l(\eta)+k+1};
- (iv)
\operatorname{diam}{\big{(}}\bigcup_{k\leq j<\omega}X_{\eta\hat{\;}j}{\big{)}}\leq b_{l(\eta)+k-1};
- (v)
there is such that for every , .
If is a -space such that for every ,
- (s)
is singleton,
then we call a -space. In such case, if then the unique element of we denote by (clearly, there is no collision with (v)).
If is a -space such that for some compact metric space and every ,**
- (Z)
is a similarity copy (that is, an image under similitude, i.e., isometry with a scale) of such that
- (Z1)
if does not end with , then ;
- (Z2)
if ends with , then , where is such that ;
- (Z3)
if and end with , then there is a similitude such that .
then we call a -space.
Observe that conditions (i) and (iv) imply that is singleton for .
If is a -space, and , then we also set
[TABLE]
Observe that if , then .
We first list basic properties of -spaces (by we will denote the metric on a metric space ):
Lemma 3.2**.**
Let be a -space.
- (a)
For every which does not end with , and are compact and open;
- (b)
if and , then and .
If is a -space which is not singleton, then
- (c)
the family
[TABLE]
is a basis of consisting of clopen sets;
- (d)
if , then is proper tree and is -space;
- (e)
if and are such that , then is proper tree, and is -space;
- (f)
if is a -space for a good sequence , then and are homeomorphic.
Proof.
We first prove (a). Let does not end with . and are open as, by (ii), (iii) and (7), and . Now we show that they are compact. We first prove that is compact. Suppose , choose a sequence and consider the following cases:
Case 1. Infinitely many elements belong to for some with . Then has convergent subsequence by (i).
Case 2. Some subsequence of converges to some element of , where ends with . Then we are done.
Case 3. The previous cases do not hold.
Step by step, we will define a sequence such that and for every , infinitely many elements belong to . This will allow to choose a subsequence such that for . By (iv) and a fact that for every , this will mean that is convergent to the unique element of .
Now we show how to choose . By our assumptions, (iv) and (v), there is such that infinitely many elements belong to . Hence we can find such that infinitely many elements of belong to . Similarly, there is so that infinitely many elements of belong to , and hence we find so that infinitely many elements belong to . We can continue this procedure as we assume that Cases 1 and 2 do not hold.
We proved that is compact. Now let be such that for some . Then and, by what we already proved, is compact.
Now we prove (b). Assume that and for some . By conditions (iii)-(v) and (7), we have
[TABLE]
and
[TABLE]
[TABLE]
Hence we get the first inequality. To see the second, use the first one:
[TABLE]
Point (c) follows from (a), (ii) and facts that and (which are implied by (iii) and (iv)).
To see (d), it is routine to check that is proper and the family , satisfies the required conditions.
Similarly, to get (e), it is easy to see that is proper and that the family , , satisfies the required conditions. (in fact, (d) follows from (e) by our earlier observation).
To see (f), note that the map is homeomorphism, which can be easily proved using (c).
∎
Now we show that the above definition is non void, and we can embed spaces into or other Hilbert spaces. We should start with defining appropriate ”skeleton” on the real line.
Let be a good sequence. We say that a family of closed intervals is a -family, if for every which does not end with ,
- (1)
;
- (2)
for every ,
- (2a)
if , then ;
- (2b)
if , then , and ;
Observe that , for which does not end with , and . Additionally, for every infinite , set (clearly, it is a singleton).
Remark 3.3**.**
It is worth to observe that we can look on the family as on standard ternary Cantor scheme on (with the length of each interval of the -th step equal to ), but for our purposes we enumerate these intervals in a different way.
Theorem 3.4**.**
*Assume that is a proper tree and is a good sequence.
(1) There exists which is a -space.
(2) If is a nonempty, non singleton, compact subset of a normed space , then there exists which is a -space.
(3) If is a nonempty compact metric space which is not a singleton, then there exists a metric space which is a -space.*
Proof.
We first prove (1). Take a -family and . If ends with then set , otherwise let be any element of . Then it is easy to see that is a -space (for the family ).
Now we prove (2). We first state the following Claim:
Claim. For any distinct points of a normed space and any distinct points there exists a bijective similitude such that and .
The similitude can be defined by or , depending on the mutual relationship between and .
Since is compact, there are such that . Now choose any line , and identify with the real line , and find any -family on . By the Claim, for every , we can find a similitude such that and . Set . Moreover, if , then let (clearly, is singleton). For every , let , and finally set . We will prove that is a -space.
Clearly, the condition (Z) is satisfied (as for every considered similitude and, if ends with , then is the image of via ). Condition (i) follows from the fact that is nonempty and compact, and (ii) directly from definition.
Now we show that for every ,
[TABLE]
If , then (9) clearly holds. Hence assume . By definition, . Now if , then , and if for some , , then .
Now choose any and let be such that , , and . If , then . Hence assume and, without loss of generality, that for some . Then
[TABLE]
[TABLE]
[TABLE]
This ends the proof of (9). Now we prove (iii), (iv) and (v). We will use (9) and definition of a -family. Take any and . Then for every and , we have by (9),
[TABLE]
[TABLE]
[TABLE]
so
[TABLE]
We proved (iii). Now assume additionally . Then
[TABLE]
[TABLE]
[TABLE]
and we proved (iv). Finally, (9) implies that , hence (v) also holds. This ends the proof of (2).
We just sketch the proof of (3). The idea is similar as in point (2) - we choose a -family and try to replace by appropriate copy of , for .
For every , let be a similarity copy of according to and let be initial metric on . If ends with , then let be the image, via the similitude, of initially chosen point such that for some , . Thanks to it, the condition (Z3) will be satisfied. If is infinite, then let be singleton. Moreover, for every , let be defined like before in the proof of (2), and finally set . Now we will define appropriate metric on .
For every , let
[TABLE]
If , then let the metric coincide with on . Now let be distinct and assume that they do not belong to the same for . Without loss of generality, there exist and , such that . If , then define
[TABLE]
and if , then define
[TABLE]
It is routine to check that is indeed a metric and that is a -space.
∎
We will also need to deal with certain subsets of -spaces, hence we introduce the following notation: given a -space and its compact subset , we set . We skip the proof of the following observation:
Observation 3.5**.**
In the above frame:
- (M1)
* is a tree (but need not be proper);*
- (M2)
;
- (M3)
;
- (M4)
If and is also compact, then .
We end this section with two general Lemmas, which will be keys in later constructions of appropriate GIFSs.
Lemma 3.6**.**
Assume that is a -space, and for every , there exists a map so that for every ,
- (i)
;
- (ii)
for all , .
Let , and for , let . Then the map defined by (we set )
[TABLE]
satisfies the following
[TABLE]
Proof.
Since is compact and is Cauchy, the map is well defined. By definition, we have
[TABLE]
We will show that . Take distinct so that and consider cases.
Case 1. For some , it holds . Then
[TABLE]
[TABLE]
Case 2. For some , it holds and . Then by Case 1, (iii) and (7),
[TABLE]
[TABLE]
[TABLE]
[TABLE]
where (*) follows from . ∎
Remark 3.7**.**
Observe that assumption (ii) of the above Lemma is satisfied if for all . Indeed, in this case we have by Definition 3.1(iv), . Then also .
Lemma 3.8**.**
*Assume that are and -spaces such that , and let be their compact subsets such that . Then there exists surjective map with .
Moreover, if (and and ) and , then additionally for .*
Proof.
At first, fix a map such that and if , then the value is biggest possible.
Now for every , let , and define , where we assume . By assumptions and a fact that for , it is easy to see that:
- (a)
for ;
- (b)
.
Finally, set by , . By Observation 3.5, is well defined, by (b), , and by (a), if and , we have that for . It remains to prove that .
Choose any so that . We can assume that there exist a sequence and such that and . Observe that or belongs to . Indeed, otherwise
[TABLE]
and then , which contradicts our assumption.
Assume first that . Then . Now if , then also .
If , then by definition of the map and a fact that , there is such that . In both cases, we have and hence
[TABLE]
On the other hand,
[TABLE]
Hence
[TABLE]
In the case when , we proceed in similar way. ∎
3.1. Scattered spaces as -spaces
A topological space is called scattered if every its nonempty subspace has an isolated point in . It is well known that a compact metrizable space is scattered iff it is countable (it follows from the Cantor-Bendixson theorem and a fact that perfect sets are uncountable).
For a scattered space , define
[TABLE]
Then is called the Cantor-Bendixson derivative of . For each ordinal , we can define the Cantor-Bendixson -th derivative , according to the inductive procedure:
;
for a limit ordinal .
(the definition is correct, as sets are empty from some level). Then we can define the scattered height of a scattered space , by
[TABLE]
The classical Mazurkiewicz–Sierpiński theorem (see [21]), states that every countable compact scattered space is homeomorphic to the space with the order topology, where and . In particular each countable compact scattered spaces with the same height and the same cardinality of elements with the “highest rank” are homeomorphic. We call a scattered space unital, if is a singleton.
Now we show that each compact metrizable scattered space is homeomorphic to certain -space.
Let be a countable limit ordinal, and be a monotone ladder system in , that is, a family of ordinals that satisfies
for each limit ordinal , the sequence is strictly increasing and converges to ;
- 2.
for every limit , if then for every .
(the proof of its existance is given in [27]). Now for every ordinal , define the sequence such that:
if is a limit ordinal, then ;
if is a successor ordinal and , then .
Clearly,
- (a)
for every , is nondecreasing and converges to ;
- (b)
for every and every , .
Now we will define a family , , of proper trees. Definition will be recursive. At first, let . Assume that for some , all sets , , are defined. Then define
[TABLE]
where .
The following proposition lists basic properties of sets . It can be easily proved by induction and with a help of (a) and (b).
Proposition 3.9**.**
If , then
- (i)
;
- (ii)
* consists of finite sequences, that is, ;*
- (iii)
* is proper;*
- (iv)
.
Finally, set and for , define by
[TABLE]
Clearly, is proper tree. As was taken as arbitrary countable ordinal, the following result shows that all compact scattered spaces are certain -spaces.
Proposition 3.10**.**
If is a good sequence and , then -space is homeomorphic to .
Proof.
We first assume . Then the thesis holds by a simple inductive argument and the fact that if is a -space, then for every , is a -space (see Lemma 3.2(d)). Hence take -space . Then from the definition it can be easily seen (see again Lemma 3.2(d)) that for , the space is a -space and that the space is a -space. Since are pairwise disjoint and open, the result follows. ∎
Remark 3.11**.**
Nowak in [27] considered a particular case of -spaces. Namely, take and for each , define the affine homeomorphism by
[TABLE]
Finally, construct the scattered compact sets , , in the following recursive way:
[TABLE]
Notice that is a -space for a sequence with sufficiently large . From the perspective of countable compact spaces and Section 4, Nowak’s construction would be sufficient. However, in next sections we will need our, more flexible, setting.
3.2. Compact [math]-dimensional uncountable spaces as -spaces
In this section we show that each compact metrizable uncountable [math]-dimensional space is homeomorphic to a certain subset of a -space. Note that if is uncountable, compact, metrizable and [math]-dimensional, by the Cantor-Bendixson theorem, there exists a maximal perfect subset (called a perfect kernel) which is a Cantor space.
Define two subtrees of
[TABLE]
Observe that
[TABLE]
Proposition 3.12**.**
Let be a good sequence, be an uncountable [math]-dimensional compact metrizable space and . Then for every -space , there is a compact set such that
[TABLE]
and a homeomorphism such that .
Before we give the proof, let us observe that (13) implies
[TABLE]
Proof.
Let be a -space and define
[TABLE]
Clearly, and . Also, are closed in , as
[TABLE]
and the sets which we remove are open. Moreover, it is easy to see that are also perfect, hence they are Cantor spaces. Finally, and has empty interior with respect to . Indeed, take . If , then for every , and , and if is infinite, then for every , and .
Hence the result follows from the following Claim (whose version we also prove in [4]; we give a proof for the sake of completeness):
Claim. Assume that are Cantor spaces such that and . Then there exists a homeomorphic embedding such that and , where and are initially chosen.
Since and are Cantor spaces, there is a homeomorphism such that . Consider a family
[TABLE]
and consider it as a metric space with the supremum metric. Let us note that is nonempty as the set is a retract of zero dimensional space (see [18, Theorem 7.3]), so there exists a continuous retraction , and . Now let be all elements of (clearly countable) set (in the case when is finite, we can proceed in similar, but simpler way), and for every , let
[TABLE]
Observe that any map satisfies the thesis of the Claim. Hence, in view of completeness of , it is enough to prove that all and are open and dense. Openness of these sets is obvious. We will show that is dense. Take and , and choose so that (where is an original metric on ). Then take a clopen set such that and , and define
[TABLE]
As is clopen and , is continuous and therefore . Moreover, for every ,
-
if , then ;
-
if , then . Hence the supremum metric and is dense. Similarly we prove the density of . Claim is proved. ∎
4. [math]-dimensional compact metrizable spaces as attractors of Banach GIFSs of order
The main result of this section is the following:
Theorem 4.1**.**
*Let be a compact metrizable [math]-dimensional space and . Then is homeomorphic to the attractor of a GIFS of order on the real line with .
Moreover, if is scattered, then can consist of two maps.*
The aforementioned theorem will follow automatically from Theorem 4.3, which give more ”qualitative” result.
Remark 4.2**.**
*(1) As was mentioned in Theorem 1.1, Nowak in [27] showed that any compact scattered metrizable space of limit scattered height is not a topological fractal. Hence Theorem 4.1 shows that scattered spaces of limit scattered height distinguish the classes of GIFSs’ fractals and IFSs’ fractals.
(2) As was mentioned in Theorems 1.1 and 1.2, [math]-dimensional compact metrizable spaces which are uncountable or scattered with successor height, are homeomorphic to attractors of IFSs on the real line consisting Banach contractions. In the constructions presented there, the number of required mappings in case of uncountable or unital case is two (but in a nonunital case it seems that we need at least three maps - see [4]). Hence our result, in the case of uncountable spaces, says nothing new. However, later we will need some particular properties that are guaranteed by our construction, so the proof of Theorem 4.1 for an uncountable case can be considered as a step in the proof of results presented in the next section.
(3) In [12], Strobin and his coauthors studied a topological version of a GIFS, and Theorem 4.1 shows that all compact scattered spaces are attractors of such kind of GIFSs.*
The promised qualitative version of Theorem 4.1 is the following (then Theorem 4.1 follows from it and Propositions 3.10, 3.12, Lemma 2.2 and Theorem 3.4).
Theorem 4.3**.**
*(1) Let , and be a good sequence. Then each -space is the attractor of a Banach GIFS of order which consists of two maps and such that .
(2) Let be a -space and be compact set which satisfies (13). Then is the attractor of a Banach GIFS of order which consists of four maps and such that .*
In the remaining part of this section we prove Theorem 4.3.
Proof.
Assume now that is a -space and choose . By Proposition 3.9 we see that and, as was already observed, the space is -space. Moreover,
[TABLE]
Hence by Lemma 3.8 there exists a surjective map with . Then by Lemma 3.6 and Remark 3.7, there exists a map such that and . Moreover, define by . Then and . Hence by Lemma 2.1, the proof of Theorem 4.3(1) in the case when is finished.
Now let be a -space, where . As was observed, are -spaces, for , respectively, and is a -space.
By what we already proved, there is a surjection with . Now (see Lemma 3.2(d)) since is a -space, is -space and , by Lemma 3.8 there exists a surjection with . Hence, by simple calculations (involving (7)) we can show that the map defined by
[TABLE]
where is an arbitrary point of , is surjective and .
Now if , then exactly the same reasoning, shows that there exists a surjection with , and we are done. Hence let .
By Lemma 3.8, proceeding similarly as earlier, we can see that for , there exists a surjective map with . Moreover, for the same reason, there exists a surjection with . Then the map defined by
[TABLE]
where is an arbitrary element of , is surjective and .
All in all, the proof of Theorem 4.3(1) is finished.
Now we switch to the case when is a compact subset of a -space which satisfies (13).
Let . By (14) and Observation 3.5, . We will define four maps: , and , such that and . This will end the proof. Indeed, then we can define and by and , where is a projective map with for and (existence of is guaranteed by Lemma 3.8). Then we obtain GIFS with whose attractor is .
Define in the following way:
[TABLE]
and
[TABLE]
Clearly, . We first define the map . If , then by we will mean the sequence so that . Moreover, if and , then by we will mean sequences so that (if and , then ).
Let be the map defined by (we assume and and equate with ):
[TABLE]
Observe that is well defined as is -space and does not contain . Moreover, . Indeed, take distinct , and let be such that and and for some . We consider two Cases:
Case 1. . Then, setting and – its modification due to definition of (that is, ) – we have by (7)
[TABLE]
and
[TABLE]
[TABLE]
Case 2. . Then, letting be appropriate modification of , we have that
[TABLE]
[TABLE]
Case 3. . Then we obtain the desired inequality in a similar way.
Finally, we show that for and every , . Let . If , then also , and . Hence assume that . Then and , so
[TABLE]
Finally, let be the projective map with for and , and set . Then and . Hence the assumptions of Lemma 3.6 are satisfied for and - any constant map with value in . Hence there is a map such that , and (since for )
[TABLE]
To see the last inclusion, take any . If , then we can choose so that and we put and then (since can have just one , we have that ). If , then and .
Now for and every , define by
[TABLE]
Similarly as before we can show that and , and proceeding in an analogous way, we can define maps with and such that for , .
Finally, define by . Then it is easy to see that and . The result follows. ∎
Remark 4.4**.**
By Lemma 2.4 we can see that appropriately separated union of many -sets is the attractor of some Banach GIFS. However, presented construction shows that it is enough to take just two functions.
Remark 4.5**.**
It is worth underlining that GIFSs give much more possibilities than IFSs. Considering Cartesian power in the domain provides indispensable space when considering compact scattered spaces with countable limit height. Moreover, observe that the definition of function (in the proof for -spaces) does not make use of whole Cartesian power (it can be perceived as a selfmap).
5. [math]-dimensional compact spaces as attractors of GIFSs of order and nonattractors of GIFSs of order
In this section we prove the following theorem:
Theorem 5.1**.**
*Let be an infinite compact [math]-dimensional metrizable space.
(1) For every and , there exists which is homeomorphic to and such that:*
- (1a)
* is the attractor of some GIFS on the real line of order with ;*
- (1b)
* is not the attractor of any weak GIFS of order .*
(2) There exists which is homeomorphic to and which is not the attractor of any weak GIFS.
Almost whole Theorem 5.1 will follow from more “qualitative Theorem 5.7 and Lemma 2.2 (or [6, Lemma 1.1(ii)]). However, the case when is finite (where is the perfect kernel) need to be dealt separately.
At first recall that in [31], for every and every , we constructed a Cantor subset of the plane which is the attractor of some Banach GIFS of order which is not the attractor of any weak GIFS of order , and also we constructed a Cantor set which is not the attractor of any weak GIFS. As can be seen, the construction proved there can be modified so that we get appropriate Cantor subsets of the real line (in fact, in the first draft of that paper, exactly such sets were constructed, as they were inspired by the construction from [8]). Hence, Theorem 5.1(1) for with finite, follows from Lemma 2.4, Remark 2.5 and the following:
Lemma 5.2**.**
Assume that , , is finite and . If is the attractor of a weak GIFS of order , then is the attractor of a weak GIFS of order .
Proof.
By our assumptions, we can define the projection with . Let be a weak GIFS of order such that is its attractor. Now for every , , and , we define in the following way: if , then let be equal to the value , where and remaining coordinates of equals , consecutively. Define also as . As are generalized weak contractions, so are and . Finally, observe that
[TABLE]
[TABLE]
Since is finite, we can define finitely many constant maps so that these mappings, together with maps and obvious extensions (like in Lemma 2.1) of all maps , will form a weak GIFS of order whose attractor is , and this would be a contradiction. ∎
To prove Theorem 5.1 in the remaining case when is infinite, we have to extend a bit the notion of -space by adding finite set to each segment . We say that a pair of sequences is a good pair, if is good and is a sequence of natural numbers such that for and
[TABLE]
Definition 5.3**.**
Let be a good pair and be a proper tree. We say that a metric space is a -space, if , where**
- (i)
is a -space;
- (ii)
, where , and for every ,
- (iia)
for some with for ;
- (iib)
.
Remark 5.4**.**
It is easy to see that for every sequence of natural numbers with for , and , there exists a good sequence such that the pair is good and (the important fact is that in the ”middle condition” in (15) we consider only ). It is also clear that for every good pair and a proper tree , there exists a set which is a -space.
Later, when writing a -space as , we will automatically assume that have meaning as in the above definition. We start with making basic observations of the structure of -spaces. If is a -space, then for any , we put .
Observation 5.5**.**
Let be a -space with . Then for every ,
- (i)
;
- (ii)
\operatorname{dist}{\big{(}}Z_{k},\bigcup_{k<j\leq\omega}Z_{j}{\big{)}}\geq\frac{2}{3}b_{k-1};
- (iii)
\operatorname{diam}{\big{(}}\bigcup_{k\leq j\leq\omega}Z_{j}{\big{)}}\leq\frac{5}{4}b_{k-1};
- (iv)
.
Proof.
The properties follow from (15), Definition 3.1 and the fact that is good. (i) follows from the fact that for any ,
[TABLE]
[TABLE]
To see (ii), note that for every ,
[TABLE]
[TABLE]
To see (iii), we calculate as follows:
[TABLE]
Point (iv) follows from definition.
∎
Proposition 5.6**.**
Let be a good pair, and be a compact, metrizable, [math]-dimensional space such that is infinite. There exists a proper tree such that for every -space , there exists a set such that
- (i)
* is the attractor of some Banach GIFS of order with ;*
- (ii)
* is homeomorphic to ;*
- (iii)
* for .*
Proof.
We will consider three cases:
Case 1. .
This means that is countable and infinite. Then it is scattered so by the Mazurkiewicz–Sierpiński theorem and Proposition 3.10, there is a proper tree such that is homeomorphic to any -space. Hence let be a -space. By Theorem 4.3(1), is the attractor of some Banach GIFS of order with . By Observation 5.5(ii), each is open, so we see that the first derivative . Using the Mazurkiewicz-Sierpiński theorem, we see that is homeomorphic with .
Case 2. is nonempty and not open in .
Then there is a sequence of isolated points which converges to some . Indeed, by our assumption, there is a sequence and such that . However, for any , there is a clopen set which is disjoint with and has diameter . In particular, is countable compact metrizable space, hence scattered, and it must have an isolated point , which is also isolated in . Then . Now let be a -space. Since is compact, uncountable [math]-dimensional and metrizable, by Proposition 3.12, we can find so that (13) is satisfied and a homeomorphism so that . Enumerate elements of by , and extend by adjusting for . It is easy to see that is homeomorphism. Also, by Theorem 4.3(2), is the attractor of some Banach GIFS of order with .
Case3. is nonempty and open in .
Then is countable compact space, hence scattered, and we can find a proper tree as in Case 1. Now let
[TABLE]
Clearly, is a proper tree and (according to the notation from Lemma 3.2), and . Now let be a -space. Then by Lemma 3.2, is -space and is -space. In the same way as in Case 1, we can show that is homeomorphic to (and to ). Also, as is a Cantor space, it is homeomorphic to a subset which satisfies (13) (see Proposition 3.12), and then is homeomorphic to (as the underlying sets are clopen). Finally, as and are attractors of some GIFSs of order with (by Theorem 4.3), is the attractor of a Banach GIFS of order with (see Lemma 2.4).
∎
Theorem 5.7**.**
*Let be a -space and be the attractor of some Banach GIFS of order with and such that for .
(1) If , , for and is such that , then*
- (1a)
* is the attractor of some Banach GIFS of order with .*
- (1b)
* is not the attractor of any weak GIFS of order .*
(2) If and for , then is not the attractor of any weak GIFS.
Theorem 5.7 will follow from the next lemma:
Lemma 5.8**.**
*Let be a -space, be such that for and .
(1) If , then is not the attractor of any weak GIFS of order .
(2) If is the attractor of some Banach GIFS of order with and for any , , and is such that , then is the attractor of some Banach GIFS of order such that .*
We show that Theorem 5.7(1) follows from the above Lemma. Observe that if and , then . Hence (1b) follows from Lemma 5.8(1). Clearly, (1a) follows from Lemma 5.8(2). Finally, if and , then for any , we have , so (2) follows from Lemma 5.8(1).
In the remaining part of this section we prove Lemma 5.8.
For every , define . If , then define by
[TABLE]
where is a fixed element of . We will show that . Take and consider (most important) cases:
Case 1. and for some , . Then by Observation 5.5(iv),
[TABLE]
Case 2. and for . By Observation 5.5(ii),(iii), we have
[TABLE]
[TABLE]
Case 3. Case 1 and Case 2 do not hold. Then clearly holds.
Similarly we can define a projective map with .
If we can also define appropriate projections .
In view of Lemmas 2.1 and 2.4, to complete the proof of (2), it suffices to show that is the attractor of some GIFS of order with .
For every , let
[TABLE]
Then and for , the cardinality . Hence by our assumptions, for every , there exists a surjection (we set ). Finally if , then we set
[TABLE]
Clearly, is surjection. Now we show that
[TABLE]
Take distinct and consider cases:
Case 1. For some it holds .
Then by Observation 5.5(ii),
[TABLE]
[TABLE]
and by (15)
[TABLE]
Case 2. For some , it holds and . Then there exists such that . Then for some , hence by (6), (15) and Observation 5.5(ii),(iii),
[TABLE]
[TABLE]
Hence the proof of (16) is finished.
Finally, let be constant maps so that . Then and, in view of Lemma 2.1, is the attractor of a GIFS of order with . The proof of Lemma 5.8(2) is finished.
Now we prove Lemma 5.8(1). It is enough to prove that for every generalized weak contraction ,
[TABLE]
We start with the additional ”structural” observation concerning -spaces.
Observation 5.9**.**
Let be a -space. For every and , there exist such that and .
Proof.
By Lemma 3.2(d) we see that is a -space of diameter , which can be divided into -space and -space of diameters . If both of these sets are not singletons, then we can divide each of them into next two, each of diameter . Proceeding in this way, for each we can divide into spaces, each of the diameter (however, some of these sets can be empty, as during the procedure we can have singletons at some stages). ∎
Fix . We will estimate .
Let be sets so that every is of one of the following forms (see Observation 5.9 for the notation in the second option):
- (a)
is a singleton;
- (b)
for some and ;
- (c)
;
- (d)
.
We will observe that
[TABLE]
Indeed, suppose that it is not true. Then we can find such that . Now consider two cases:
Case 1. All are of the form (a), (b) or (c). Since is a weak contraction and by earlier calculations (see Observation 5.5(vii)) we get a contradiction since:
[TABLE]
[TABLE]
Case 2. for some . Assume, without loss of generality, that . Then, setting , we can assume that
[TABLE]
Supposing otherwise we would obtain a contradiction with contractivity of similarly as in Case 1.
Moreover, we assume that are chosen so that is minimal in this sense, i.e., there are no with , and . Now let . If , then set , and if , then let be an element of so that and (the existence of is guaranteed by Definition 5.3(iia)). For set . Then , and . The following conditions can hold:
Case 2a. . Then by the minimality of , and – it is a contradiction with .
Case 2b. for some , then by Observation 5.5(ii) and (15), we arrive to a contradiction:
[TABLE]
[TABLE]
Case 2c. , then we get a contradiction since
[TABLE]
All in all, we proved (18).
Notice that (see Observation 5.9)
[TABLE]
[TABLE]
Hence for
[TABLE]
[TABLE]
In order to prove (17), in view of the assumption , it is enough to show that for some and all ,
[TABLE]
By our assumptions, there exists such that for , . Observe that
[TABLE]
Indeed, for it clearly holds, and if it holds for , then
[TABLE]
Similarly we can show that for some and every , (we can take ). Hence for every ,
[TABLE]
We proved (19), and proof of Lemma 5.8(1) is finished.
6. -spaces as attractors of GIFSs
The main result of this section is the following:
Theorem 6.1**.**
Let and be a compact, connected metric space which is the attractor of some Banach GIFS of order with . Then there exists a compact metric space such that:
- (a)
each connected component of is a similarity copy of ,
- (b)
* is the attractor of some Banach GIFS of order with ,*
- (c)
* is not a topological fractal;*
Additionally, if is a subset of a normed space , then can be taken so that
- (d)
.
Theorem 6.1 will follow from its qualitative version Theorem 6.2 together with Theorem 3.4
Recall that in Subsection 3.1, for each countable limit ordinal and , we defined a certain sequence . Consider the case . Then we can assume that sequences are of the following forms:
if , then i.e., ;
- *
if , then , i.e., .
It is easy to see that (a) and (b) from Section 3.1 are satisfied.
Observe that if is a space and is connected, then each connected component of is a similarity copy of . Hence Theorem 6.1 follows from the following:
Theorem 6.2**.**
*In the above framework, let be a -space, where is connected.
(1) If is the attractor of a Banach GIFS of order , then is the attractor of a Banach GIFS of order with .
(2) is not a topological fractal.*
In the remaining part of this section we prove Theorem 6.2. Directly by definition of families for and the above assumption, we can see that for every (recall Proposition 3.9),
- (A)
\tilde{\Lambda}^{k-1}=\{\omega\}\cup{\big{(}}\bigcup_{i\leq k-1}i\hat{\;}\tilde{\Lambda}^{i-1}{\big{)}}\cup{\big{(}}\bigcup_{\omega>i\geq k}i\hat{\;}\tilde{\Lambda}^{k-2}{\big{)}};
- (B)
\tilde{\Lambda}^{\omega}=\{\omega\}\cup{\big{(}}\bigcup_{i\leq k-1}i\hat{\;}\tilde{\Lambda}^{i-1}{\big{)}}\cup{\big{(}}\bigcup_{\omega>i\geq k}i\hat{\;}(k-1)\hat{\;}\tilde{\Lambda}^{k-2}{\big{)}}\cup
\cup{\big{(}}\bigcup_{\omega>i\geq k}(\bigcup_{j\neq k-1}i\hat{\;}j\hat{\;}\tilde{\Lambda}^{(i-1)_{j}}\cup\{(i,\omega)\}){\big{)}}.
Now define by
[TABLE]
By (A) and (B) we see that the map is well defined and . Now define the map in the following way: if is of the form for or for or , then let be a similarity transformation of onto so that, if ends with , then (condition (Z3) guarantees that we can choose such similitude). If is of the form for and , then let be a constant map from to such that .
Clearly, . We will show that .
If is of the form for or for or , then
– if does not end with , then
[TABLE]
[TABLE]
– if ends with , then letting be such that , we get
[TABLE]
If is of different form than those above, then .
Hence for all .
Now let be such that for some and , and , but if , then we assume , and such that . Then by (7),
[TABLE]
[TABLE]
Now consider cases:
Case 1. for . Then
[TABLE]
Case 2. for some . Then
[TABLE]
[TABLE]
Case 3. for and or . Then
[TABLE]
Case 4. . Then
[TABLE]
Finally, assume that . By Definition 3.1(v), Lemma 3.2(b) and what we already proved, we have
[TABLE]
[TABLE]
Now by Lemma 3.6 and Remark 3.7, there is a map such that and .
Since is the attractor of a Banach GIFS of order and and are similarity copy of , there are GIFSs and on and , respectively, of order , with . Observe that the maps and given by
[TABLE]
It is routine to check that (we use Lemma 3.2(b)). Finally, define and and observe that is a Banach GIFS with and is its attractor. This ends the proof of (1).
Now we prove (2). It is easy to see that is a scattered space with the height . By the result of Nowak and Theorem 2.7, is not a topological fractal.
Example 6.3**.**
*Theorem 6.1 gives us a way of constructing many mutually nonhomeomorphic GIFSs fractals which are not topological fractals. Indeed, if are not homeomorphic, then spaces which have all components homeomorphic with and , respectively, are not homeomorphic.
For example, for we can take any cube . Thanks to Lemma 2.2, we obtain in this way fractals of GIFSs defined on the whole Euclidean spaces .
A slight modification of the Hilbert cube leads to an example in space. Indeed, let*
[TABLE]
Then it is easy to see that is the attractor of the GIFS , where
[TABLE]
*and . Hence by Theorem 6.1 and Remark 2.3, there is whose all connected components are similarity copy of , which is not a topological fractal and which is the attractor of some GIFS on with .
Similarly, starting with*
[TABLE]
and using Theorem 6.1 and Lemma 2.2, we obtain appropriate example in the Hilbert space .
D’Aniello in [11] showed that for any and , there is a set whose Hausdorff dimension and which is not the fractal generated by any weak IFS on . However, the sets she constructed were certain Cantor sets, hence topological fractals.
Theorem 6.1 implies the following:
Corollary 6.4**.**
If , then there is a set such that and which is not a topological fractal but is the attractor of some Banach GIFS on of order .
Proof.
It is enough to take as a connected IFS fractal of Hausdorff dimension equal to .∎
Remark 6.5**.**
It is easy to see that justification of Theorem 6.2(2) is more general – if is a -space and is connected, then the quotient space is homeomorphic with -space. Hence for any connected space and any countable with limit height, the space -space is not a topological fractal.
7. Topological properties of class of GIFSs’ attractors
It is well known (see for example [1] and [10]) that (in reasonable metric spaces ) the class of attractors of weak IFSs is meager in . In this section we extend this result in some sense - we show that the class of all attractors of Banach GIFSs on a Hilbert space is meager.
Given a Hilbert space and , let
[TABLE]
[TABLE]
where is the family of all nonempty and compact subsets of . We consider it as a metric space with the Hausdorff metric .
Finally, define
[TABLE]
That is, and are classes of all attractors of Banach and weak GIFSs of order , respectively, and is the class of all attractors of Banach GIFSs .
Theorem 7.1**.**
*In the above frame:
(1) The set is meager in and, in particular, typical compact subset of is not the attrator of any Banach GIFS.
(2) For every , the set is dense in .*
Proof.
We first prove (2). Let and fix . Then choose a finite set so that , where is the Hausdorff metric on . Identifying a fixed line in with , by Theorem 5.1, we can find a set . Then we replace each point in by appropriately small copy of so that and for and . Then, denoting by , we have , and by Lemmas 2.4, 2.6 and Remark 2.5, . This ends the proof of (2).
Now we prove (1). For every and , denote by the family of all attractors of Banach GIFSs of order consisting of maps and such that . Clearly, . By (2), sets have empty interior. Thus it is enough to prove that each is closed. We will mimic the proof of [10, Proposition 3.6]. Choose a sequence which converges to some compact set . Calculating, if needed, the same functions more than once, we may assume that for every , there are maps so that and .
Now let be the closed convex hull of the compact set . Then is compact and convex subset of a Hilbert space, so there exists a retraction with ( can be the nearest point to in ). With the use of the Kirszbraun–Valentine theorem, extend each to a map , with the condition (see the proof of Lemma 2.2). Finally, set . In particular, . Now since is compact and , for every , the sequence satisfies the assumptions of the Arzelá–Ascoli theorem. Hence there is a subsequence (which can be appropriate for all ) and a map such that converges uniformly to . For simplicity of notation, we assume that .
To end the proof, it is enough to show that and . To see the first assertion, take . As , we can find sequences such that , and . As and , we have
[TABLE]
Hence . In a similar way we can show that , so
[TABLE]
On the other hand, , and hence . This ends the proof. ∎
In view of mentioned results from [1] and [10], it is natural to ask is the set of all attractors of weak GIFSs is meager in . We leave it as an open problem:
Problem 7.2**.**
Let be the family of all sets which are attractors of some (possibly weak) GIFSs. Is meager in ?
**Acknowledgements
**We would like to thank an anonymous referee for pointing out the way to extend point (2) of Theorem 3.4 (and, in turn, Theorem 6.1) from Hilbert spaces to normed spaces.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] R. Balka, A. Máthé , Generalized Hausdorff measure for generic compact sets , Ann. Acad. Sci. Fenn. Math. 38 (2013), no. 2, 797–804.
- 2[2] T. Banakh, W. Kubiś, M. Nowak, N. Novosad, F. Strobin , Contractive function systems, their attractors and metrization , Topol. Methods Nonlinear Anal. 46, no. 2, 1029–1066.
- 3[3] T. Banakh, M. Nowak, F. Strobin , Detecting topological and Banach fractals among zero-dimensional spaces , Topology Appl. 196 A (2015), 22–30.
- 4[4] T. Banakh, M. Nowak, F. Strobin , Embedding fractals in Banach, Hilbert or Euclidean spaces , submitted, available at ar Xive: 1806.08075
- 5[5] M. F. Barnsley , Fractals everywhere , Academic Press Professional, Boston, MA, 1993.
- 6[6] Y. Benyamini, J. Lindenstrauss , Geometric Nonlinear Functional Analysis , Amer. Math. Soc., Providence, RI, 2000.
- 7[7] F. Browder , On the convergence of successive approximations for nonlinear functional equations , Indag. Math. 30 (1968), 27–35.
- 8[8] S. Crovisier, M. Rams , IFS attractors and Cantor sets , Topology and Appl., 153 (2006), 1849–1859.
