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Abstract
Every dynamical system on a compact metric space X induces a fuzzy dynamical system
on the space of fuzzy sets
, by Zadeh's extension principle. In this paper we consider stronger forms of sensitivity, viz. strong sensitivity, asymptotic sensitivity, syndetic sensitivity, multi-sensitivity and cofinite sensitivity. Some examples are given to expound the interrelation between them. Our main concern here is to find the relationship between f and
in terms of these forms of sensitivity. We Prove that these forms of sensitivity for f partially imply the same for
and in other way we also get partial induction.
1. Introduction
Let be a compact metric space and
be a continuous map, then the pair
is called a dynamical system. The main concern to study a dynamical system is to understand the dynamics of the orbit
, for each
where
denote the n-times composition of f. Consequently, the idea is to study the discrete dynamical system
(1)
(1)
Let
denote the set of compact subsets of X. Anologously, define induced discrete dynamical system on
as
(2)
(2)
where
is defined as
for
.
To deal with non-deterministic problems (see [Citation1]) such as demographic fuzziness, environmental fuzziness and life expectancy crisp dynamical systems (Equation1(1)
(1) ) and (Equation2
(2)
(2) ) are not enough to model such systems accurately. In that case, we consider the discrete fuzzy system
(3)
(3)
where
is the Zadeh's extension of f to
and
denote the space of all non-empty compact fuzzy sets on X.
The fundamental question here is to find the chaotic dynamical relations between f and . In this direction, Flores and Cano [Citation2], Kupka [Citation3–6], Wu et al. [Citation7] and Flores et al. [Citation8] have investigated some chaotic dynamics between f and
.
In recent years, concept of sensitive dependence on initial conditions has attracted significant attention. In [Citation9], an investigation has been done to find the interrelation between sensitivity, asymptotic sensitivity and strong sensitivity and their induction between f and . Recently, Wua et al.[Citation10] and Zhao et al. [Citation11] have done similar kind of investigation for sensitivity and its various forms on the generalised version of Zadeh extension called g-fuzzification (given by Kupka [Citation5]), and obtained satisfactory results. In this paper, we study some more stronger forms of sensitivity associated to the fuzzy dynamical system (given by Zadeh's extension principle) (Equation3
(3)
(3) ) via system (Equation2
(2)
(2) ) or otherwise.
This paper is organised as follows. Section 2 contains basic notations and results used in this paper. In Section 3, we give the definition of sensitivity, strong sensitivity, multi-sensitivity, asymptotic sensitivity, syndetic sensitivity, and cofinite sensitivity. An investigation has been done to find the interrelation between these forms of sensitivity. In the later part of this section we study the relation of these stronger forms of sensitivity for f and . Section 4 consists of conclusion.
2. Preliminaries
Let be a metric space with metric d. Let
be the collection of all non-empty compact subsets of a metric space X. If
, then ϵ-neighbourhood of A is defined as the set
The Hausdorff metric(distance)
on
is defined by
It is well known that
is compact (complete, separable, respectively), if and only if
is compact (complete, separable, respectively).
A fuzzy set u on X is a function . A fuzzy set u is upper semi-continuous (u.s.c.) if for any sequence
, in
, converging to a point
, then x is at least as much in u as the
, i.e.
.
Let us define as the system of all u.s.c. fuzzy sets on X. An empty fuzzy set
is defined as
. Let
denotes the set of all non-empty fuzzy sets on X. The levelwise metric D on
is defined by
(4)
(4)
where
for each
and
(
denotes the closure of A). This metric holds for non-empty fuzzy sets
whose maximal values are identical. Since the Hausdorff distance
is only defined for non-empty closed subsets of the space X, therefore, an extension (cf. [Citation5]) is considered as follows
which implies
where diam
. With this extension (Equation4
(4)
(4) ) correctly defines the levelwise metric on
.
Remark 2.1
It is known that if is complete, compact and separable then
is complete but fails to be compact and separable
see [Citation12]
, and if u is an u.s.c. fuzzy set on X then
is closed in X for all
.
Every continuous map induces a continuous extension
, by letting
for every
.
A fuzzification (or Zadeh's extension) of the dynamical system is the map
defined by
If X is a compact metric space then is continuous if and only if
is continuous (cf. [Citation2]). Continuity of f and
is equivalent even if X is locally compact metric space (cf. [Citation5]).
Further, we define as the class of all the normal fuzzy sets on X, as
It can be seen that with levelwise metric is a subspace of
. Also, it has been proved that with this metric
is complete, but not compact and is not separable, refer [Citation5, Citation12].
Proposition 2.1
[Citation2]
For any fuzzy set u, the family , satisfies the following properties:
, whenever
.
, for all
.
, for all
.
A u.s.c. map f is piecewise constant if there is a finite number of sets such that
and
is constant. A fuzzy set u is piecewise constant if there exists a strictly decreasing sequence
of closed subsets of X and strictly increasing sequence of reals
such that,
Lemma 2.2
[Citation4]
For any and
there exists a piecewise constant fuzzy set
such that
, i.e. the set of piecewise constant fuzzy sets is dense in
3. Sensitivity for Induced Fuzzified Map
A continuos map is said to be
sensitive dependence on initial conditions (or sensitive), if there is
(sensitivity constant) such that for every point
and for each
there is
and
such that
and
.
strongly sensitive if there is a
such that for each
and for each
there exists
such that for all
,
, where
.
multi-sensitive if there is
such that for every
and any non-empty open subsets
, the set
is non-empty, where
with
.
An infinite subset A of is said be syndetic if it has bounded gaps, i.e. if
then there exist
such that
for every
, and A is said be cofinite if
is finite.
Now, we define, some more forms of sensitivity depending upon the ‘largeness’ of the set of all where this sensitivity happens. We say that,
f is asymptotically sensitive if there is
such that for each open set U in X, we have that
is infinite.
f is syndetically sensitive if there is
such that for every non-empty open subset
, the set
is syndetic.
f is cofinitely sensitive if there is
such that for every non-empty open subset
, the set
is cofinite.
It is easy to see that,
cofinite sensitivity ⇒ syndetic sensitivity ⇒ asymptotic sensitivity
⇒ sensitivity.
cofinite sensitivity ⇒ strong sensitivity ⇒ multi-sensitivity ⇒ sensitivity.
Clearly, cofinite sensitivity implies all the other forms of sensitivities, and some of them are not related to each other in any way.
Consider a one-sided symbolic dynamical system , where
and σ is a shift map on
, defined as
which is continuous (cf. [Citation13]). It is known that
is a compact metric space with the metric d, defined as
where
and
.
Now, consider a subspace S of the symbolic dynamical system , consisting of all the sequences which are eventually zero. Clearly, the restriction of σ on S is strongly sensitive and multi-sensitive but not asymptotically sensitive (also not, cofinitely sensitive and syndetic sensitive).
For a continuous map on a compact metric space, asymptotic sensitivity is equivalent to sensitivity (cf. [Citation14]). It has been proved that there is no relation between strong sensitivity and asymptotic sensitivity, even on compact metric space (refer to [Citation9]).
Proposition 3.1
[Citation9]
If is sensitive, then
is also sensitive.
The following example shows that, in general, converse of the above proposition is not true.
Example 1
Consider the one-sided shift space on two symbols, let T be the irrational rotation on the circle
given by
, where α is a very small irrational multiple of
. By dividing
into two hemispheres, define a sequence
as
.
Define , then
is sensitive but
in not sensitive, refer [Citation9].
In the following proofs, by we mean the characteristic function defined as
Theorem 3.2
Let be a continuous function. Then, sensitivity of
implies sensitivity of
.
Proof.
Suppose is sensitive on
(with sensitivity constant δ). Let
and
. As
, there exists
and
such that
and
. Now,
We can find
such that
.
, implies
for all
. Hence,
is sensitive on
.
Theorem 3.3
[Citation2]
Let be a continuous function and
is sensitive, then
is sensitive.
Remark 3.1
Converse of the above theorem does not hold, e.g. the subsystem of one-sided shift space taken in Example 1 is sensitive but its set-valued counterpart is deprived of sensitivity. Therefore, by Theorem 3.2, cannot be sensitive.
Proposition 3.4
[Citation9]
Let be a continuous function. Then
is strongly sensitive if and only if
is strongly sensitive.
Now, we prove the same relation between and
, i.e.
Theorem 3.5
Let be a continuous function. Then
is strongly sensitive on
if and only if f is strongly sensitive on X.
Proof.
Let be strongly sensitive on
with sensitivity constant δ. Let
and
be given. For
, there exists
such that
,
, for every
.
Choose any there exists
such that
,
Now,
We can find
such that
. Consequently,
, for every
Conversely, let f be strongly sensitive with sensitivity constant δ. Let and
be given. There exists a piecewise constant fuzzy set ν, such that
, represented by some strictly decreasing sequence of closed subsets
of X and strictly increasing sequence of reals
such that
, whenever
As is strongly sensitive (by Proposition 3.4) there exists a sensitivity constant
. Therefore, for each
there exists
such that, for every
,
.
Let . Take
. For each
there exists
such that
,
and
.
We get a piecewise constant fuzzy set η, by defining it as
, whenever
.
Consequently,
and
implies
.
Theorem 3.6
is multi-sensitive if and only if
is so.
Proof.
Let is multi-sensitive with sensitivity constant
. Since the set of all the piecewise constant fuzzy sets are dense in
, it is enough to prove that
is multi-sensitive on this set. Consider, piecewise constant fuzzy sets
in
. For each
there exist strictly decreasing sequence
of closed subsets in X and strictly increasing sequence of reals
such that
, whenever
.
Since is multi-sensitive, for each
and for every
, we can choose
such that
and
.
For each , define a piecewise constant fuzzy set
as
, whenever
.
Hence for each , we get
and
.
Consequently, .
Conversely, let is multi-sensitive with sensitivity constant
. Consider
and
. Then,
are fuzzy sets in
, there exist
such that
Hence, for each there exist
and
such that
and
.
So, we can conclude that and, consequently,
is multi-sensitive.
Theorem 3.7
[Citation15]
is multi-sensitive if and only if
is so.
From the above two theorems, we have the following result.
Theorem 3.8
is multi-sensitive if and only if
is so.
Theorem 3.9
If is asymptotically sensitive, then
is asymptotically sensitive.
Proof.
Let be asymptotically sensitive with sensitivity constant
. Suppose
and
be given. As
, we can find
such that
and
.
Now,
We can find and
such that
, if
form an asymptotic sensitive pair, then we are done. If not, then we can find
such that
for all
.
Also, since is continuous we can find a neighbourhood
of
such that
and
for all
We can find an such that
.
Again for we can find
such that
and
,
. We can find
and
such that
. Consequently,
.
If form an asymptotic sensitive pair, then we are done. If not, then we can find
such that
for all
. Also, since
is continuous we can find a neighbourhood
of
such that
and
for all
We can find an
such that
.
Continuing like this, we either get required asymptotic sensitive pair or a sequence
. Let l be the limit point of this sequence, then
for each
, which implies
.
Consequently, f is asymptotically sensitive.
Remark 3.2
Converse of the above theorem is not true. Since a sensitive map is asymptotically sensitive on a compact metric space, and the dynamical system considered in Example 1 is compact and sensitive, hence asymptotically sensitive. Since the hyperspace
is not sensitive hence cannot be asymptotically sensitive. Therefore,
cannot be asymptotically sensitive (Theorem 3.2).
In the presence of dense set of periodic points sensitivity imply asymptotic sensitivity (see [Citation16]). Using this fact and our theorem 3.5 we give the following corollary.
Corollary 3.10
If has dense set of periodic points and strongly sensitive, then
is asymptotically sensitive.
Proof.
By Theorem 5 of [Citation2], periodic density of f implies periodic density of , and strong sensitivity of f implies the same for
(Theorem 3.5). Consequently,
is asymptotically sensitive.
Lemma 3.11
[Citation15]
Let a, b, c, d be real numbers with a<b and c<d. If there is L>0 such that b−a<L and d−c<L, then .
Theorem 3.12
is syndetically sensitive if and only if
is syndetically sensitive.
Proof.
Let is syndetically sensitive with sensitivity constant
. We do the proof for
on the set of piecewise constant fuzzy sets in
, as it is dense in
. Let u be any piecewise constant fuzzy set and let
. There exists a strictly decreasing sequence
of closed subsets in X and strictly increasing sequence of reals
such that
, whenever
.
For each , we can choose
such that
is syndetic and .
For each lets rewrite the set
for all
.
By the hypothesis, for each , there is
such that
, for all
. Take
. Define,
for
.
By Lemma 3.11, M is syndetic with and
, for all
.
Define a piecewise constant fuzzy set v as,
whenever,
.
Clearly, and
for all
, which completes the proof.
For the converse, if is a non-empty set, then for
there exists
such that
and the set
is syndetic. Now, for
, we have
Clearly,
Hence, the proof.
Theorem 3.13
[Citation15]
is syndetically sensitive if and only if
is so.
From the above two theorems, we have the following result.
Theorem 3.14
is syndetically sensitive if and only if
is so.
Theorem 3.15
is cofinitely sensitive if and only if
is cofinitely sensitive.
Proof.
Poof is similiar to the proof of Theorem 3.12, with slight modifications.
Consequentially, we can have the following result.
Theorem 3.16
is cofinitely sensitive if and only if
is cofinitely sensitive.
4. Conclusion
Let a dynamical system, where
be a continuous map on a compact metric space X, and
be its fuzzified extension given by Zadeh's extension principle, where
. Our investigation for finding the chaotic dynamical relation between f and
in the related dynamical properties of sensitivity and its stronger forms reveal (Theorems 3.3, 3.5,3.6, 3.9, 3.12, 3.16) that if
is sensitive, strongly sensitive, multi-sensitive, asymptotically sensitive, syndetically sensitive and cofinitely sensitive, respectively then the same holds for
. For the converse, we prove that if
is strongly sensitive (multi- sensitive, syndetic sensitive, cofinitely sensitive) then
is so (Theorems 3.5, 3.6, 3.12, 3.16), but sensitivity and asymptotic sensitivity, respectively of f does not imply sensitivity and asymptotic sensitivity, respectively for
. It can be clearly noted that we reveal similar relation of sensitivity and its stronger forms for f and
.
We get Corollary 3.10 as a consequence of Theorems 3.5, where we establish that strong sensitivity of implies asymptotic sensitivity for
, in the presence of periodic density.
Acknowledgements
We thank the referees for their valuable suggestions which helped us to improve this paper.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Additional information
Notes on contributors
Praveen Kumar
Praveen Kumar was born in Delhi, India. He received his B.Sc. Degree from Ramjas College, Delhi, India, in 2003 and M.Sc. in mathematics from IIT Delhi, India. He got his Ph.D Degree in Chaotic Dynamics and Induced Maps on Hyperspaces from University of Delhi, India, in 2017. He is currently an Assistant Professor in the department of Mathematics, Ramjas college, Delhi, India and having a teaching experience of more than 15 year. His research interest is to study topological dynamics.
Ayub Khan
Ayub Khan was born in Shaharanpur, India. He received his B.Sc. Degree from Ramjas college, Delhi, India, in 1979 and M.Sc, M. Phil degree in Linear and Non-Linear Stability of Dynamical Systems and Ph.D degree in Chaos in Non-Linear Planar Oscillations of a Satellite in Elliptic Orbits from University of Delhi, India in 1981, 1983 and 1995, respectively. He is currently a Professor and the Head of the Mathematics department of Jamia Millia Islamia University, Delhi, India. He has an teaching experience of more than 34 years. So far he has guided more than 13 Ph.D. students and 4 M.Phil students and have more than 150 research paper. He delivered more than 32 talks in various national and international Seminar/conferences. His research interest are analysis of chaos and synchronization for Non-linear dynamical system and Topological dynamics.
References
- Barros L, Bassanezi R, Tonelli P. Fuzzy modelling in population dynamics. Ecol Model. 2000;128:27–33.
- Flores HR, Chalco-Cano Y. Some chaotic properties of zadeh's extensions. Chaos Soliton Fractals. 2008;35:452–459.
- Kupka J. Some chaotic and mixing properties of Zadeh's extension. In: Proceedings of IFSA World Congress/EUSFLAT Conference; Lisabon, Portugalsko: Universidade Tecnicade Lisboa; 2009. p. 589–594.
- Kupka J. On devaney chaotic induced fuzzy and set-valued dynamical systems. Fuzzy Sets Syst. 2011;177:34–44.
- Kupka J. On fuzzifications of discrete dynamical systems. Inf Sci. 2011;181:2858–2872.
- Kupka J. Some chaotic and mixing properties of fuzzified dynamical system. Inf Sci (Ny). 2014;279:642–653.
- Wu X, Ding X, Lu T, et al. Topological dynamics of Zadehs extension on upper semi-continuous fuzzy sets. Int J Bifurcat Chaos. 2017;27(10):1750165.
- Flores HR, Chalco-Cano Y, Kupka J. On turbulent, erratic and other dynamical properties of Zadeh's extensions. Chaos Solitons Fractals. 2011;44:990–994.
- Sharma P, Nagar A. Inducing sensitivity on hyperspace. Topol Appl. 2010;157(13):2052–2058.
- Wua X, Chenc G. Sensitivity and transitivity of fuzzified dynamical systems. Inf Sci (Ny). 2017;396:14–23.
- Zhao Y, Wang L, Lei F. Inducing sensitivity of fuzzified dynamical systems. Int J Bifurcat Chaos. 2018;28(10):1850130.
- Flores HR. The compactness of E(X). Appl Math Lett. 1998;11(2):13–17.
- Devaney RL. An introduction to chaotic dynamical systems. 2nd ed. New York: Addision-Welsey; 1989.
- Akin E, Kolyada S. Li-Yorke sensitivity. Nonlin. 2003;16:1421–1433.
- Li R. A note on stronger forms of sensitivity for dynamical systems. Chaos Solitons Fractals. 2012;45:753–758.
- Kanmani S. Sensitive dependence and dense periodic points. arXiv:math.DS/0302282.2003; 24 Feb.