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 now take
for some
. Inequalities (
1) and (
5) imply:
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.