Abstract
Given a metric space , we deal with a classical problem in the theory of hyperspaces: how some important dynamical properties (namely, weakly mixing, transitivity and point-transitivity) between a discrete dynamical system and its natural extension to the hyperspace are related. In this context, we consider the Zadeh’s extension of f to , the family of all normal fuzzy sets on X, i.e., the hyperspace of all upper semicontinuous fuzzy sets on X with compact supports and non-empty levels and we endow with different metrics: the supremum metric , the Skorokhod metric , the sendograph metric and the endograph metric . Among other things, the following results are presented: (1) If is a metric space, then the following conditions are equivalent: (a) is weakly mixing, (b) is transitive, (c) is transitive and (d) is transitive, (2) if is a continuous function, then the following hold: (a) if is transitive, then is transitive, (b) if is transitive, then is transitive; and (3) if be a complete metric space, then the following conditions are equivalent: (a) is point-transitive and (b) is point-transitive.
1. Introduction
For a given metric space , let be the family of all normal fuzzy sets on X, i.e., all upper semicontinuous fuzzy sets on X with compact supports and non-empty levels. The hyperspace plays an important role in fuzzy theory. It appears, for example, in multi-point boundary value problems, topological entropy, fuzzy numbers, dynamical systems, properties of fuzzy mappings, chaos theory, etc. (see, among others, ref. [1,2,3,4,5,6,7,8]).
The aim of this paper was to study the relationship between several dynamical properties related to transitivity of a dynamical system and transitivity of the dynamical system (where stands for the Zadeh’s extension to of the function when the hyperspace is equipped with different metrics: the supremum metric , the Skorokhod metric the sendograph metric and the endograph metric . If the metric , we denote the metric space by and , respectively.
It is worth noting that the space is relevant in the theory of fuzzy numbers and it is the least studied in the theory of fuzzified discrete dynamical systems. The Skorokhod topology was introduced by Skorokhod in [9] as an alternative to the topology of uniform convergence on the set of right-continuous functions on having limits to the left at each . In [10], Billingsley showed that the Skorokhod topology is metrizable, actually it proves that endowed with the Skorokhod topology is a separable complete metric space. It plays an important role for the convergence of probability measures on , namely the convergence in distribution of stochastic processes with jumps: indeed, many central limit results and invariance principles were obtained (see [10,11]). Joo and Kim [12] introduced the Skorokhod metric in the field of fuzzy numbers which has been also studied in the context of (see [13]). Given a metric space , the Skorokhod metric on was defined in [14]. The endograph (respectively, sendograph) metric is defined by means of the Hausdorff distance between the endographs (respectively, sendographs) of two normal fuzzy sets. The endograph metric has many applications in fuzzy theory. For example, it is used in fuzzy reference by fuzzy numbers defined on the unit interval (see [15]). It can be characterized by means of the notion of -convergence (see [16] for details). To see the relationship between -convergence and the sendograph metric, the interested reader can consult [17].
The paper is organized as follows. Preliminaries are given in Section 2. Section 3 is devoted to the main results of the paper. Among other things, we prove that a discrete dynamical system is weakly mixing if and only if the dynamical system is transitive if and only if the dynamical system is transitive if and only if is transitive (see Theorem 3). This theorem extends previous results of Banks [18] and Peris [19]. It is worth mentioning that the authors of [20] show the first two equivalences of Theorem 3 for compact metric spaces. In fact, they use compactness in the proof of ([20] Lemma 7). Theorem 3 also generalizes a result of [20]. We conclude the paper with a section of conclusions.
Motivation and Novelties
If is a metric space and is a continuous function, the pair is called a discrete dynamical system. The evolution of can be considered as the individual behavior of the phenomenon described by the system . The motivation for studying the discrete dynamical system defined by a hyperspace of X and a natural extension of f to is that, in this case, we focus our attention in the collective behavior. This includes the study of fractals sets on (see [21]). In the case of considering Zadeh’s extension of to , we compare the individual behavior with a fuzzy collective behavior. Thus, we related dynamical properties of . Of course, this relationship depends on the metric we consider on .
Thus, the topic we deal with is classical. The novelty lies in addressing the previous question for transitivity (respectively, point-transitivity) when not only is equipped with a metric , but we also compare the fuzzy collective behavior for several of the previous metrics.
2. Preliminaries
In this section, we introduce the results on fuzzy theory that we need in the sequel. A fuzzy set u on a topological space X is a function , where denotes the closed unit interval . Define for each . The support of u, denoted by , is the set . Let us note that . Let be the family of all normal fuzzy sets on X, i.e., all upper semicontinuous fuzzy sets such that is compact and is non-empty.
Let be a metric space. If is a function, the Zadeh’s extension of f to is denoted by and is defined as follows:
Two useful results on Zadeh’s extension are the following:
Proposition 1
([14]). Let X be a Hausdorff space. If is a continuous function, then for each and .
Proposition 2
([22] (Proposition 2)). If is a continuous function, then for each .
In the sequel, the previous results allow us to write instead of .
Given a non-empty subset , we denote by the characteristic function of A. For the one-point set , we put instead of . If denotes the hyperspace of all the non-empty compact subsets of , we have the following propositions which shows that sends into itself.
Proposition 3
([14]). Let f be a continuous function from into itself. Then for each .
Next are some basic results on fuzzy metric hyperspaces. For and , the symbol denotes the open ball (with respect to d) with center at x and radius . The metrics we will consider on the hyperspace of all normal fuzzy subsets of X are related to the Hausdorff metric [23]. It is defined in the following way. If is a metric space, let us denote by the set of all non-empty closed subsets of X.
For a given pair of non-empty closed subsets of X, define , for , and . The Hausdorff distance between A and B is defined by:
Now we take up the metric . Consider the function defined by
where is the Hausdorff metric on the hyperspace . It is a well-known fact that is a metric on such that is a nonseparable complete metric space. From now on, if and , then the symbol denotes the open ball (with respect to ) with center at u and radius .
Next we introduce the Skorokhod metric. Denote by T the family of strictly increasing homeomorphisms from onto itself. Given a metric space , we can define a metric on as follows:
It is shown in [14] that is a metric on , the so-called Skorokhod metric. For and , the symbol denotes the open ball, in , with center at u and radius .
Clearly, for each . Hence, the topology induced by is weaker than the topology induced by , i.e., . However, for elements of , we have the following easy proposition. The proof is left to the reader.
Proposition 4.
If , then for each .
To finish the section, we introduce the sendograph and the endograph metric. For a given metric space , we define the metric on the product as follows:
Take now . The endograph of u is defined as the following set
and the sendograph of u is defined as .
The endograph metric on is the Hausdorff distance (with respect to ) between and for each , and the sendograph metric on is the Hausdorff metric (on ) between the non-empty compact subsets and for every (see [24]).
It is a well-known fact that (see [2]). Kloeden proved in [25] that is compact whenever X is compact. Thus, if and denote the topologies on induced by and , respectively, then we have that . Moreover H. Huang proved in ([26] Theorem 7.1) that .
3. Transitivity on
In this section, we mainly characterize the transitivity of the dynamical system (see Theorem 3). Let X be a topological space and a continuous function. Let us recall that a dynamical system is transitive if for every non-empty open subsets U and V of X, there exists such that . We also say that is weakly mixing if is transitive. Let us recall that is defined by for each .
Let be a continuous function on a topological space X. Banks [18] and Peris [19] showed that is weakly mixing if and only if is transitive. To be precise, they show the following
Theorem 1.
Let be a continuous function on a topological space X. Then, the following conditions are equivalent:
- (1)
- is weakly mixing.
- (2)
- is weakly mixing.
- (3)
- is transitive.
It is worth mentioning the following result on weakly mixing dynamical systems. Let X be a topological space and a continuous function. A dynamical system is weakly mixing of order m () if the function
is transitive. We have
Theorem 2
([18] (Theorem 1)). If is continuous and weakly mixing, then f is weakly mixing of all orders.
For a given topological space , we need to consider the hyperspace endowed with the Vietoris topology . Let us remember that a base for is defined as follows:
where runs over all finite families of . It is known that for a metric space the Vietoris topology coincides with the topology induced by the Hausdorff metric on .
Proposition 5
([14]). Let X be a Hausdorff space and . If is the function defined by for all , then the following hold:
- (i)
- L is left continuous on ;
- (ii)
- and for each ;
- (iii)
- L is right continuous at 0.
Conversely, for any decreasing family satisfying (i)–(iii), there exists a unique such that for every .
Let be a metric space. For any and , define . It follows from ii) of previous proposition that L is right continuous at if and only if . The following fact is well known.
Proposition 6.
Let be a metric space. If , then we have
- (i)
- implies that and .
- (ii)
- if and , then .
We need the following two lemmas.The first can be proved as in [12] and the second follows easily from Proposition 6.
Lemma 1.
Suppose that is a metric space. For any and there exist numbers such that for .
Lemma 2.
Suppose that is a metric space. Take , and a partition such that for . If is a refinement of , then for .
We now are ready to present the main result of this paper:
Theorem 3.
Let be a metric space. Then, the following conditions are equivalent:
- (i)
- is weakly mixing;
- (ii)
- is transitive;
- (iii)
- is transitive;
- (iv)
- is transitive;
- (v)
- is transitive.
Proof.
By Theorem 1, we have that (i) implies (ii).
Let us show that (ii) implies (iii). Take and . Put and . By Lemma 1, there exist numbers such that for . In addition, there exist numbers such that for . By Lemma 2, we can assume that and for each .
We shall show that for every , we have the inequality
For this, notice that we have that . Proposition 6 implies that
This shows the inequality (1).
Theorem 1 implies that is weakly mixing. Theorem 2 tells us that is weakly mixing of all orders. Therefore, there exist and such that for each we have the following:
Put for each . Proposition 6 and Inequality (2) imply that for every , we have
Let us define for each as follows:
The family satisfies conditions of Proposition 5. Hence, it determines an element . Let us show that . Take . Suppose that . Then . Proposition 6 and the choice of and imply that . The latter inequality and relation (5) give the following
We can conclude that . Hence, .
Put for each . Let us define for each as
The family satisfies conditions of Proposition 5. Using Inequality 3, we can argue as in w to prove that .
By Proposition 6 and Equation (4), we have that for every . Since , we conclude that for each . Definitions of w and z imply that for every . Therefore, . Hence,
The latter inequality shows that We have thus proved that . Therefore, is transitive.
We have that (iii) ⇒ (iv) ⇒ (v), since the topologies defined by levelwise, Skorokhod and sendograph metrics are related by .
Finally, let us prove that (v) implies (i). Suppose that is transitive. Take and two positive real numbers and . Define and , which clearly are elements of . Recall that for each pair of fuzzy sets (see [27]). From transitivity of , it follows the existence of and such that . Define and observe that and . Therefore, is transitive. Theorem 1 implies that is weakly mixing. The proof is complete. □
We do not know if transitivity on implies transitivity on . We have the next result.
Proposition 7.
Let be a metric space and a continuous function. Then the following holds:
- (i)
- if is transitive, then is transitive;
- (ii)
- if is transitive, then is transitive.
Proof.
Let us show (i). Suppose that is transitive. Observe that is transitive because .
In order to show (ii), take and a pair of positive real numbers and . Define the fuzzy sets and . Without losing generality, we can assume that and . From transitivity of , it follows the existence of and such that . Choose a point . It is easy to see that . Since we have which finishes the proof. □
We now turn our attention to point-transitivity. A dynamical system is point-transitive if there exists a point with dense orbit, i.e., the set is dense in X.
Proposition 8.
If is point-transitive, then is separable.
Proof.
The space is separable, therefore so is (see [14] (Theorem 4.12)). □
Proposition 9.
If is point-transitive, then so is .
Proof.
Take such that is dense in . Pick . Let us show that is dense in . Indeed, take and . Then for some . So . Propositions 1, 2 and 4 imply
It follows that . The proof is complete. □
It is known that point-transitivity is equivalent to transitivity for discrete dynamical systems on complete separable metric spaces without isolated points.
A space X is completely metrizable if it admits a compatible complete metric. It is well known that every completely metrizable space has Baire property. Let us recall that a space has Baire property if the intersection of a countable family of dense open sets is non-empty. According to ([8] Proposition 4.6), in every second-countable space with the Baire property, transitivity implies point-transitivity.
Theorem 4.
Let be a complete metric space. Then the following conditions are equivalent:
- (i)
- is point-transitive;
- (ii)
- is point-transitive;
- (iii)
- is point-transitive.
Proof.
If is point-transitive, then is transitive, i.e., is weakly mixing. By Theorem 3, is transitive. Since is complete separable, the metric space is complete separable (see [28] Exercise 4.5.23 or [29]). Then, by [8] Proposition 4.6, is point-transitive. Hence, (i) implies (ii).
Assume that is point-transitive. Then is transitive. Thus, Theorem 3 implies that is transitive. Since is point-transitive, is separable. By Theorem [14] Theorem 4.12, is separable. By hypothesis, is complete so that arguing as in the proof of [12] Theorem 3.9, we can conclude that is completely metrizable. Once again, ref. [8] Proposition 4.6 implies that is point-transitive. We have just proved that (ii) ⇒ (iii).
Finally, Proposition 9 says that (iii) ⇒ (i). □
Example 1.
Consider, anddefined by. It is known thatis transitive (point-transitive), but it is not weakly mixing. This shows that condition (i) in Theorem 3 and Theorem 4 cannot be replaced by transitivity and point-transitivity, respectively.
4. Conclusions
We study the relationship between the individual behavior and fuzzy collective behavior for transitivity and point-transitivity. In others words, we study how transitivity and point-transitivity of a dynamical system and the dynamical system , where is the Zadeh’s extension of f and is the hyperspace of all normal fuzzy sets of X. We consider equipped with the supremum metric , the Skorokhod metric , the sendograph metric and the endograph metric . Our main results state that transitivity of (respectively of and of is equivalent to the fact that is transitive. For point-transitivity, we obtain that for a complete metric space the following statements are equivalent: (a) is point-transitive, and (b) is point-transitive. Our results generalize previous outcomes in the theory of discrete dynamical systems.
Author Contributions
Conceptualization, D.J., I.S. and M.S.; methodology, D.J., I.S. and M.S.; validation, D.J., I.S. and M.S.; investigation, D.J., I.S. and M.S.; writing—original draft preparation, D.J., I.S. and M.S.; writing—review and editing, D.J., I.S. and M.S. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Agarwal, R.P.; Benchohra, M.; O’Regan, D.; Ouahab, A. Fuzzy solutions for multi-point boundary value problems. Mem. Differ. Equ. Math. Phys. 2005, 35, 1–14. [Google Scholar]
- Cánovas, J.S.; Kupka, J. Topological entropy of fuzzified dynamical systems. Fuzzy Sets Syst. 2011, 165, 37–49. [Google Scholar] [CrossRef]
- Chen, M.; Minghao, L.; Daohua, X.; Xue, X. Periodic problems of first order uncertain dynamical systems. Fuzzy Sets Syst. 2011, 162, 67–78. [Google Scholar] [CrossRef]
- Font, J.J.; Sanchis, D.; Sanchis, M. Completeness, metrizability and compactness in spaces of fuzzy-number-valued functions. Fuzzy Sets Syst. 2018, 353, 124–136. [Google Scholar] [CrossRef]
- Hong, D.H.; Moon, E.L.; Kim, J.D. Convexity and semicontinuity of fuzzy mappings using the support function. J. Appl. Math. Inform. 2010, 28, 1419–1430. [Google Scholar]
- Kupka, J. Some chaotic and mixing properties of fuzzified dynamical systems. Inform. Sci. 2014, 279, 642–653. [Google Scholar] [CrossRef]
- Saade, J.J. Mapping convex and normal fuzzy sets. Fuzzy Sets Syst. 1996, 81, 251–256. [Google Scholar] [CrossRef]
- Sánchez, I.; Sanchis, M.; Villanueva, H. Chaos in hyperspaces of nonautonomous discrete systems. Chaos Solitons Fractals 2017, 94, 68–74. [Google Scholar] [CrossRef]
- Skorokhod, A.V. Limit theorems for stochastic processes. Th. Probab. Appl. 1956, 1, 261–290. [Google Scholar] [CrossRef]
- Billingsley, P. Convergence of Probability Measures; Wiley: New York, NY, USA, 1968. [Google Scholar]
- Jacod, J.; Shirayaev, A.N. Limit Theorems for Stochastic Processes; Springer: New York, NY, USA, 1987. [Google Scholar]
- Joo, S.Y.; Kim, Y.K. The Skorokhod topology on space of fuzzy numbers. Fuzzy Sets Syst. 2000, 111, 497–501. [Google Scholar] [CrossRef]
- Kim, Y.K. Compactness and convexity on the space of fuzzy sets. J. Math. Anal. Appl. 2001, 264, 122–132. [Google Scholar] [CrossRef]
- Jardón, D.; Sánchez, I.; Sanchis, M. Some questions about Zadeh’s extension on metric spaces. Fuzzy Sets Syst. 2020, 379, 115–124. [Google Scholar] [CrossRef]
- Chen, Q. Fuzzy Values and Their Applications to Fuzzy Reasoning; Beijing Normal University Press: Beijing, China, 2000. (In Chinese) [Google Scholar]
- Hung, H. Characterizations of endograph metric and Gamma-convergence on fuzzy sets. Fuzzy Sets Syst. 2018, 350, 55–84. [Google Scholar] [CrossRef]
- Greco, G.; Moschen, M.; Rezende, E.; Quelho, Q.F.E. On the variational convergence of fuzzy sets in metric spaces. Ann. Univ. Ferrara Sez. VII N. S. 1998, 44, 27–39. [Google Scholar]
- Banks, J. Chaos for induced hyperspace maps. Chaos Solitons Fractals 2005, 25, 1581–1583. [Google Scholar] [CrossRef]
- Peris, A. Set-valued discrete chaos. Chaos Solitons Fractals 2005, 26, 19–23. [Google Scholar] [CrossRef]
- Wu, X.; Ding, X.; Lu, T.; Wang, J. Topological Dynamics of Zadeh’s Extension on Upper Semi-Continuous Fuzzy Sets. Int. J. Bifurc. Chaos 2017, 27, 1750165. [Google Scholar] [CrossRef]
- Barnsley, M.F. Fractals Everywhere; Academic Press: New York, NY, USA, 1988. [Google Scholar]
- Román-Flores, H.; Chalco-Cano, Y. Some chaotic properties of Zadeh’s extensions. Chaos Solitons Fractals 2008, 35, 452–459. [Google Scholar] [CrossRef]
- Hausdorff, F. Grundzüge der Mengenlehre. Monatshefte für Mathematik und Physik 1914, 26, A34–A35. [Google Scholar]
- Kupka, J. On fuzzifications of discrete dynamical systems. Inf. Sci. 2011, 181, 2858–2872. [Google Scholar] [CrossRef]
- Kloeden, P. Compact supported endographs and fuzzy sets. Fuzzy Sets Syst. 1980, 4, 193–201. [Google Scholar] [CrossRef]
- Huang, H. Some properties of Skorokhod metric on fuzzy sets. arXiv 2019, arXiv:1904.07489v4. [Google Scholar]
- Zhang, L. The topological structure of fuzzy sets with sendograph metric. Topol. Appl. 2013, 160, 1501–1506. [Google Scholar] [CrossRef]
- Engelking, R. General Topology. In Sigma Series in Pure Mathematics; Heldermann Verlag: Berlin/Heidelberg, Germany, 1989; Volume 6. [Google Scholar]
- Kuratowski, K. Sur une méthode de métrisation complète de certains espaces d’ensembles compacts. Fund. Math. 1956, 42, 114–138. [Google Scholar] [CrossRef]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).