Skip to main content
Heliyon logoLink to Heliyon
. 2024 Jul 3;10(13):e33878. doi: 10.1016/j.heliyon.2024.e33878

An investigation on the recurrent function of the Pythagorean fuzzy cellular topological dynamical system

Gnanachristy N B 1, Revathi G K 1,
PMCID: PMC11279249  PMID: 39071673

Abstract

This study is about Pythagorean fuzzy cellular topological dynamical system which is generated using Pythagorean fuzzy cellular space. A dynamical system receives input for a certain function and performs an iterative procedure for that same function. A continuous function can be employed in a topological dynamical system and the same function is iterated again and again. As it is an iterative process, there is a perspective that the views of every individual may be ambiguous or imprecise. To overcome this uncertainty, Pythagorean fuzzy sets are employed in dynamical system. Fixing a boundary on the Pythagorean fuzzy dynamical system culminates in a Pythagorean fuzzy cellular topological dynamical system. It is shown that the Pythagorean fuzzy cellular space is compact, normal and homeomorphic and it is called the Pythagorean fuzzy cellular topological dynamical system. The Pythagorean fuzzy sets in the Pythagorean fuzzy cellular topological dynamical system are iterated under the action of Pythagorean fuzzy cellular continuous map. Then, the Pythagorean fuzzy orbit* set is obtained. Additionally, it is discussed that the stipulated dynamical system is topologically transitive and different aspects of topological transitivity are investigated.

Keywords: Pythagorean fuzzy cellular space, Pythagorean fuzzy cellular topological dynamical system and Pythagorean fuzzy cellular topological transitivity

1. Introduction

Topology, the study of properties of space that are preserved under continuous deformations, plays a significant role in the field of fuzzy topological dynamical systems. The integration of fuzzy set theory with topology allows for a more flexible and nuanced representation of dynamic systems, particularly when dealing with uncertainties and imprecisions. Dynamical systems may be identified in numerous fields of research, notably algebra, biology, and the differential equations of classical mechanics in physics. For instance, enter a number into a scientific calculator and then continue repeatedly pressing one of the function keys to perform calculations. The term “discrete dynamical system” pertains to this iterative approach. Understanding the asymptotic or final behaviour of an iterative process is the fundamental objective of dynamical systems. Apart from iterated functions, there are numerous other dynamical systems. The effectiveness of a system on individual dynamics is related to points in the phase space, whereas its effectiveness on collective dynamics relates to subsets in the phase space. The graph of moving objects in two dimensions is referred to as the phase space in this context. This may also be used to fuzzy set dynamics (the system's influence on functions from the phase space to the interval [0, 1]). The simplest dynamical system is generated by taking the iterations of a single continuous map (f:XX) of a small (X) space into themselves. The set {x,f(x),f2(x,...)} is called the orbit of xX. A Pythagorean fuzzy topological dynamical system is an extension of the traditional topological dynamical systems framework that incorporates Pythagorean fuzzy sets. Pythagorean fuzzy sets are a generalization of classical fuzzy sets, where each element is assigned both a membership degree and a non-membership degree, such that the sum of the squares of the membership and non-membership degrees equals one. Incorporating Pythagorean fuzzy sets to topological dynamical systems enhances the capacity to represent and analyse dynamic systems in the presence of uncertainty and vagueness. In order to have better results in topological dynamical system Pythagorean fuzzy sets are considered. Here, the properties of the fuzzy topological dynamical system using Pythagorean fuzzy cellular is investigated. Cellular spaces can be defined in all the n-dimensional spaces [17]. There are various perspectives on cellular spaces, which leads to automata [15]. Here, the cellular spaces is defined using Pythagorean fuzzy sets, and they are called Pythagorean fuzzy cellular spaces. The Pythagorean fuzzy cellular space is compact, normal, and homeomorphism and Pythagorean fuzzy sets act as Pythagorean fuzzy cellular in the system. Periodic orbit is one of the distinctive features of topological dynamical systems, describes a specific sort of solution for a dynamical system, specifically one that repeats itself throughout time. Then, Pythagorean fuzzy cellular orbit is defined. The Pythagorean fuzzy cellular orbit is iterated and finding whether it is periodic. Again the property of dynamical system, transitivity is defined. Transitivity is the absence of a suitable closed invariant subset of X with a non-empty interior. Pythagorean fuzzy cellular topological transitivity is defined and properties are discussed. Hence, the defined Pythagorean fuzzy cellular topological dynamical system defined here is periodic, invariant and topologically transitive. Fig. 1 explains the outline of the study.

Figure 1.

Figure 1

Framework of the study.

2. Literature review

This section explores a detailed literature review on Pythagorean fuzzy cellular space (Table 1) and Pythagorean fuzzy cellular topological dynamical systems (Table 2, Table 3).

Table 1.

Literature review of Pythagorean fuzzy cellular space.

Author Year Source Findings
Zadeh [18] 1965 Fuzzy sets Definition of fuzzy sets, algebraic operation of fuzzy sets, convexity, boundedness is discussed



Chang.C.L [19] 1968 Fuzzy topological space Definition of fuzzy topological space and basic concepts like open set, closed set, neighbourhood, interior set continuity and compactness



Merzerich [14] 1980 Cellular spaces Definition of fuzzy sets, algebraic operation of fuzzy sets, convexity, boundedness



Coker.D [20] 1980 Intuitionistic fuzzy topological space Definition of intuitionistic fuzzy topological space, its continuity, compactness, connectedness, Hausdorff space is discussed.



Leiderman [13] 2016 Lattices of homomorphisms and prolie group Definition and properties of cellular spaces is discussed



Olgun M et al [15] 2019 Pythagorean fuzzy topological space Pythagorean fuzzy topological space and its continuity is discussed.

Table 2.

Literature review of Pythagorean fuzzy cellular topological dynamical system.

Author Year Source Findings
Bauer,Sigmund [2] 1975 Topological dynamics of transformations induced on the space of probability measures Continuous transformation of a metric space is investigated.



Alseda et al [1] 1999 A splitting theorem for transitive maps Continuous transitive maps are used here on locally connected compact metric spaces.



Kolyada et al [9] 2004 On minimality of non autonomous dynamical system This study gave topological entropy for the dynamical system.



Kolyada [10] 2004 A survey of some aspects of dynamical system Detailed study of dynamical system was examined.



Alessandro Fedeli [7] 2006 On discontinuous transitive maps Detailed study of scenarios in which a dense orbit might exist for a discontinuous transitive map.



Kaki [8] 2013 Introduction to weakly transitive maps on topological spaces Introduction to weakly transitive maps on topological spaces



Bilokopytov [3] 2014 Transitive maps on topological spaces Properties of the topological dynamical system is discussed.



Lan et al [12] 2012 Some chaotic properties of fuzzy dynamical system Dynamical system was extended to fuzzy sets and analysed the discrete fuzzy dynamical systems. Here metric space is taken and continuous mapping was defined on the metric space.

Table 3.

Literature review of Pythagorean fuzzy cellular topological dynamical system.

Author Year Source Findings
Eisner et al [5] 2015 Operator theoretic aspects of ergodic theory Dynamical system is introduced, which is composed of the sets X and ϕ:X → X.



Kaki [8] 2016 New types of lambda transitive and weakly lambda mixing sets A new class of chaotic maps on locally compact Hausdorff spaces was explored.



Lan [11] 2016 Chaos in non-autonomous discrete fuzzy dynamical system Chaotic properties of fuzzy dynamical system is discussed.



Xinxing et al [16] 2018 Topological dynamics of Zadeh's extension on upper semi continuous fuzzy sets Topological dynamics of specific fuzzy set is investigated.



Devaney [4] 2018 An introduction to chaotic dynamical system Topological conjugacy of the dynamical system is explained.



Martinez [17] 2021 Chaos in fuzzy dynamical system The dynamics of (continuous and linear) operators on metrizable topological vector spaces (linear dynamics) is discussed.

3. Main contribution and motivation of the study

The dynamical system employs a variety of strategies. The key objective of the article is to establish a Pythagorean fuzzy cellular topological dynamical system in which ambiguity occurs in any system. Pythagorean fuzzy sets, which are cellular in nature and play a crucial part in this dynamical system, are employed in Pythagorean fuzzy topological dynamical systems. This environment is viewed as a Pythagorean fuzzy cellular topological dynamical system. The characteristics of the Pythagorean fuzzy cellular topological dynamical system are addressed in this work. The main contribution is listed as follows:

  • This paper introduces the concept of Pythagorean fuzzy cellular topological dynamical system, which is novel and represents an extension of existing concepts in fuzzy topological dynamical systems.

  • Pythagorean fuzzy cellular space is established. The continuity, compactness and normality of this space are defined, which paves the way to define Pythagorean fuzzy cellular topological dynamical system.

  • Pythagorean fuzzy cellular topological dynamical system is defined, which enhances the study of the topological dynamical system in a theoretical way. Pythagorean fuzzy cellular topological dynamical system involved in the study depicts how sets in a space evolve over time under the action of a continuous map.

  • This paper defines the Pythagorean fuzzy cellular orbit set in the Pythagorean fuzzy cellular topological dynamical system to demonstrate that it is topologically transitive. This topological transitivity is one of the most fundamental characteristic of any fuzzy topological dynamical system.

4. Structure of the paper

The paper is organised as follows:. Section 5, discusses the preliminary work for the study. Section 6, Pythagorean cellular space with examples, and Pythagorean fuzzy cellular normal. Section 7, defines the Pythagorean fuzzy cellular topological dynamical system with an example and investigates the periodicity and orbit of the defined topological dynamical system. Section 8, gives a detailed study of the topological transitivity of the Pythagorean fuzzy cellular topological dynamical system.

5. Preliminaries

This part introduces abbreviations and their expansions, as well as outlines the study's core principles.

PFS (Pythagorean fuzzy set), Pythagorean fuzzy topological space (PFTS), Pythagorean fuzzy interior fuzzy closure (PFC), Pythagorean fuzzy cellular (PFcel)), PF(X)-collection of PFSs, Pythagorean fuzzy cellular orbitset(PFcelOS), Pythagorean fuzzy cellular topological dynamical system (PFcelTDS)

Definition 5.1

[16] A Pythagorean fuzzy set (PFS) R of X0 is a pair (μR,νR) where μR and νR are fuzzy sets of X such that μR2(x)+νR2(x)=rR2(x) for any xϵX where the fuzzy sets μR,νR,rR are the membership value, non-membership value, the strength of commitment at a point respectively.

Definition 5.2

[16] Let X and τ be a family of PFS. If

  • 0X,1Xϵτ

  • AiiϵIτ, we have AiiϵIAiϵτ where I is an arbitrary index set.

  • A1,A2ϵτ, we have A1A2ϵτ, where 0X=(0,1) and 1X=(1,0), then (X,τ) is called a Pythagorean fuzzy topological space (PFTS).

Definition 5.3

[16] Let S=(μS,νS) and R=(μR,νR) be any two PFSs of a set X. Then,

  • RS=(max(μR,μS),min(νR,νS))

  • RS=(min(μR,μS),max(νR,νS))

  • Rc=(νR,μR)

  • RS or SR if μRμS and νRνS.

Definition 5.4

[16] Let X be a PFTS and R=(μR,νR) be a PFS in X. Then the PFI and PFC are defined by,

  • int(R)= ⋃{G|G is a PFOS in X and GR}

  • cl(R)= ⋂{K|K is a PFCS in X andRK}

Definition 5.5

[16] Let A and U be any two PFSs in a PFTS. Then U is said to be a neighbourhood of A if there exists an open Pythagorean fuzzy subset E such that AEU.

Definition 5.6

[14] If every family of Gδ-sets in X has a countable subfamily λ such that ∪λ is dense in ∪γ, then the topological space X is said to be ω-cellular, or, in symbols, celω(X)ω.

Definition 5.7

[6] A pair (K;ϕ) is a topological dynamical system if K is a non-empty compact space and ϕ:KK is continuous. If ϕ is surjective, then a topological system (K;ϕ) is surjective; otherwise, the system is invertible, or a homeomorphism.

6. Pythagorean fuzzy cellular space (PFcelspace)

Throughout this paper Pythagorean fuzzy sets are denoted as PF(X)

This section defines PFcel space, PFcel compact, PFcel normal space and PFcel homeomorphism.

Definition 6.1

Pythagorean fuzzy cellular (resp., PFcel) is defined as, if for every family ϒ={ςiPF(X);ςis are PFS, and iI } there exists a countable family Ψ={ϖiPF(X);ϖis are PFS and iI } such that ϒΨ and cl(ςi) = ϖi for every iI where I is an index set.

A Pythagorean fuzzy topology τp on X is said to be Pythagorean fuzzy cellular space if it satisfies the condition of PFcel cellular defined above then (X,τpcel) is called PFcel space. Then the ordered pair (X,τpcel) is called PFcel space. Every member of PFcel space is called PFcel open set and its complement is PFcel closed set.

Example 6.2

Let X={m,n}ϱjPF(X) where j=1,2,3,...8,

ϱ1(m)=(0.2,0.8),ϱ1(n)=(0.3,0.7)ϱ2(m)=(0.3,0.7),ϱ2(n)=(0.4,0.7)ϱ3(m)=(0.4,0.7),ϱ3(n)=(0.4,0.5)ϱ4(m)=(0.4,0.8),ϱ4(n)=(0.3,0.5)ϱ5(m)=(0.8,0.2),ϱ5(n)=(0.7,0.3)ϱ6(m)=(0.7,0.3),ϱ6(n)=(0.7,0.4)ϱ7(m)=(0.7,0.4),ϱ7(n)=(0.5,0.4)ϱ8(m)=(0.8,0.4),ϱ8(n)=(0.5,0.3)

τ={0X,1X,ϱ1,ϱ2,ϱ3,...,ϱ8} is a Pythagorean fuzzy topology on X. ϒ={ϱ1,ϱ2}Ψ={ϱ1,ϱ2,ϱ3,ϱ4}. Here for every family ϒ there exists a countable family Ψ satisfies the Pythagorean fuzzy cellular condition. Hence (X,τpcel) is the Pythagorean fuzzy cellular space.

Definition 6.3

Let (X,τpcel) be a PFcel space and YX and XY be the characteristic function of Y. Then τpcel(Y)={ϱXY,ϱτpcel} is a PFcel subspace. (Y,τpcel(Y)) is called the PFcel subspace of (X,τpcel). If XY is PFcel open set then (Y,τpcel(Y)) is called the PFcel open subspace of (X,τpcel).

Definition 6.4

Pythagorean fuzzy cellular closure (PFcelcl) and Pythagorean fuzzy cellular interior (PFcelint) of a PFS is defined by,

PFcelcl(ξ)={η:ξη;ηisPFcelclosed in(X,τpcel)}PFcelint(ξ)={σ:σξ;σisPFcelopen in(X,τpcel)}

Definition 6.5

Let (Y,τpcel) and (Z,σpcel) be any two PFcel spaces. A function p:(Y,τpcel)(Z,σpcel) is called PFcel continuous if and only if the inverse image of each PFcel open set in (Z,σpcel) is PFcel open set in (Y,τpcel).

Definition 6.6

Let (X,τpcel) be a PFcel space. A collection ϱ of the subsets of (X,τpcel) is said to be PFcel cover of (X,τpcel) if the union of the elements of ϱ is equal 1X (ϱi=1X).

Definition 6.7

Let (X,τpcel) be the PFcel space. The PFcel subcover of the PFcel cover ϱ is a subcollection of ϱ which is a PFcel cover.

Definition 6.8

A PFcel space (X,τpcel) is Pythagorean fuzzy cellular compact if every cover of (X,τpcel) by PFcel open set in (X,τpcel) contains the finite sub cover. That is if ϱi is PFcel open in (X,τpcel), for every iI where I is an index set and ϱi = 1X, then there are finitely many indices i1,i2,...inI such that ϱij=1X

Definition 6.9

A PFcel space (X,τpcel) is called PFcel normal space if for any PFcel closed sets S and a PFcel open set T in (X,τpcel) such that ST, there exists a PFcel open set V such that SVPFcel(V)T.

Example 6.10

Let X={m,n} ϱjPF(X) where j=1,2,3,...8,

ϱ1(m)=(0.2,0.8),ϱ1(n)=(0.3,0.7)ϱ2(m)=(0.3,0.7),ϱ2(n)=(0.4,0.7)ϱ3(m)=(0.4,0.7),ϱ3(n)=(0.4,0.5)ϱ4(m)=(0.4,0.8),ϱ4(n)=(0.3,0.5)ϱ5(m)=(0.8,0.2),ϱ5(n)=(0.7,0.3)ϱ6(m)=(0.7,0.3),ϱ6(n)=(0.7,0.4)ϱ7(m)=(0.7,0.4),ϱ7(n)=(0.5,0.4)ϱ8(m)=(0.8,0.4),ϱ8(n)=(0.5,0.3)

Clearly, τ={0X,1X,ϱ1,ϱ2,ϱ3,...,ϱ8} is a Pythagorean fuzzy topology on X. (X,τpcel) is the PFcel space. Let the PFcel closed set ϱ5cϱ7 there exists a PFcel open set ϱ3 such that cl(ϱ3)ϱ7. Therefore (X,τpcel) is PFcel normal space.

Definition 6.11

A Pythagorean fuzzy cellular mapping p:(X,τpcel)(Y,τpcel) is called Pythagorean fuzzy cellular homeomorphism if p and p1 are PFcel continuous.

7. Pythagorean fuzzy cellular topological dynamical system (PFcelTDS)

In this section of PFcel TDS is defined and it is verified that this system is periodic, invariant and existence of orbit for this system. Topological transitivity is defined for this system. Properties of PFcelTDS is discussed.

Definition 7.1

A PFcel space (X,τpcel) is called PFcelTDS (X,τpcel,τD) if it is

i) PFcel compact and PFcel normal space.

ii) PFcel homeomorphism.

Example 7.2

Let X={m,n} ϱjPF(X) where j=1,2,3,...8,

ϱ1(m)=(0.2,0.8),ϱ1(n)=(0.3,0.7)ϱ2(m)=(0.3,0.7),ϱ2(n)=(0.4,0.7)ϱ3(m)=(0.4,0.7),ϱ3(n)=(0.4,0.5)ϱ4(m)=(0.4,0.8),ϱ4(n)=(0.3,0.5)ϱ5(m)=(0.8,0.2),ϱ5(n)=(0.7,0.3)ϱ6(m)=(0.7,0.3),ϱ6(n)=(0.7,0.4)ϱ7(m)=(0.7,0.4),ϱ7(n)=(0.5,0.4)ϱ8(m)=(0.8,0.4),ϱ8(n)=(0.5,0.3)

τ={0X,1X,ϱ1,ϱ2,ϱ3,...,ϱ8} is a Pythagorean fuzzy topology on X. (X,τpcel) is the PFcel space. Then PFcel space is a compact and PFcel normal space and p:(X,τpcel)(X,τpcel) is a PFcel homeomorphism since p1 is a PFcel continuous. Thus, (X,τpcel,τD) is a PFcelTDS.

Definition 7.3

Let (X,τpcel) be a non-empty set and let p:(X,τpcel)(X,τpcel) be any function in (X,τpcel). Then the PFcel orbit*(PFcelO) of ℧ under the function p is PFcel={,p(),p2(,...)}.

The PFcel orbit* set PFcelO() of ℧ under p is defined by, PFcelO()={p()p2(,...)}.

Definition 7.4

Let (X,τpcel) be a PFcel space. Let p:(X,τpcel)(X,τpcel) be any function. The PFcelO under the function p in PFcel space is called PFcel open set. Its complement is called PFcel closed set.

Definition 7.5

Let (X,τpcel) be a PFcel space. Let p:(X,τpcel)(X,τpcel) be any function. The PFcelOs then PFcelO interior and closure of α is defined as,

PFcelint(α)={α:ωα;ωis aPFcelopen set}.PFcelOclosure ofαis defined as,PFcelcl(α)={α:αδ;δis aPFcelclosed set}.

Definition 7.6

Let (X,τpcel) be a PFcel space under the mapping p if the elements in the PFcel space is both open PFcel open set and PFcel closed set. Then the elements are called PFcel clopen sets.

Definition 7.7

Let (X,τpcel) and (Y,σpcel) be a PFcel space. Let p:(X,τpcel)(X,τpcel) by any function. A function g:(X,τpcel)(Y,σpcel) is defined to be PFcelO continuous if the inverse image of every PFcel open set in (Y,σpcel) is PFcel orbit* open set under p in (X,τpcel).

Proposition 7.8

Let(X,τpcel)be aPFcelspace under bijective mapping. Ifis a PFcelO open set under the mapping p, then p()=.

Proof

Let (X,τpcel) be a PFcel space and p be any mapping. There are three cases.

Case 1. If p(xi)=xj, xi,xjX and ij for every i,jI. Suppose X={x1,x2}, p:(X,τpcel)(X,τpcel) defined as p(x1)=x2, p(x2)=x1. Let ℧ be a PFcel open set under the mapping p. Then there exists PFcelOϱPF(X) such that PFcelO(ϱ)={ϱp(ϱ)p2(ϱ),...}=.

Let ϱ={(m1,n1),(m2,n2)} where x1,x2X,m1,n1,m2,n2PF(X). p(ϱ)={(m2,n2),(m1,n1)}, p2(ϱ)={(m1,n1),(m2,n2)}...

PFcel(ϱ)={[(min(m1,m2,m1...),max(n1,n2,n1)...],

[min(m2,m1,m2...),max(n2,n1,n2...)]}=

Hence, by definition p()=.

Case 2. If p(xi)=xj, xi,xjX and i=j for some i,jI. In this case least number of elements must be three elements. If X={x1,x2,x3} the mapping p:(X,τpcel)(X,τpcel) can be defined as p(x1)=x1,p(x2)=x3, p(x3)=x2. Let ℧ be a PFcelO open set under the mapping p. Then there exists a PFcel,ϱPF(X) such that PFcelO(ϱ)={ϱp(ϱ)p2(ϱ),...}=.

Let ϱ={(m1,n1),(m2,n2)} where xiXmi,niPF(X),i=1,2,3. Then by the definition of p, we get, p(ϱ)={(m1,n1),(m3,n3),(m2,n2)}

Qp2(ϱ)={(m1,n1),(m2,n2),(m3,n3)}

PFcelO(ϱ)={(m1,n1)[(min(m3,n2,...),max(n3,n2,...)],

[min(m2,m3,...),max(n2,n3...)]}=

Hence, by definition p()=.

Case 3. If p is the identity mapping the proof is obvious. □

Proposition 7.9

Let(X,τpcel)be aPFcelspace under constant mapping. Ifis a PFcelO open set under the mapping p, then p()=.

Proof

Let (X,τpcel) be a PFcel space and let ℧ be a PFcel orbit open set under the mapping p. The there exists ϱ={(mi,ni);mi,niPF(X),iI} such that PFcelO(ϱ)=. Since p is a constant mapping, this implies there exists a fixed element xkX such that p(xi)=xk for all xiX and iI. Now forming the definition of p(ϱ) for all xiX. we have

p(ϱ)(xj)={p(xi)=xjϱ(xi),p(xi)=xjϱ(xi)ifp1(xi)0X0otherwise

Thus,

p(ϱ)(xj)={maxiIϱ(xi),miniIϱ(xi)ifxj=xk0ifxjxk

Therefore,

p(ϱ)={maxiIϱ(xi),miniIϱ(xi)}.

This means p(ϱ) is a PFcel point in (X,τpcel) with support xk, degree miniIϱ(xi) and degree maxiIϱ(xi).

By the same way we have p2(ϱ) = {maxiIϱ(xi),miniIϱ(xi)},

p3(ϱ)={maxiIϱ(xi),miniIϱ(xi)},ϱ{(m1,n1),(m2,n2),...,(mk,nk)},p(ϱ)={(0,0)(0,0),...maxϱ(xi),minϱ(xj)}p2(ϱ)={(0,0)(0,0),...maxϱ(xi),minϱ(xj)},p3(ϱ)={(0,0)(0,0),...maxϱ(xi),minϱ(xj)}

Hence, from the definition of p, we get p()=. □

Remark 7.10

Let (X,τpcel) be a PFcel space and p:(X,τpcel)(X,τpcel) be any mapping such that either p is a bijective mapping or p is a constant mapping ℧ is PFcelO open set under the mapping p then p()=.

Proposition 7.11

Let(X,τpcel)be aPFcelspace andp:(X,τpcel)(X,τpcel)be a mapping. Ifis a PFcelO open set under the mapping p, then p()=.

Proof

The proof follows from the above remark. From the remark we have p()= this implies p2()=p(p())=,p3()=p(p2())=...Hence p()=. □

Proposition 7.12

Let(X,τpcel)be aPFcelspace andp:(X,τpcel)(X,τpcel)be a mapping. Ifis a PFcelO open set under the mapping p, then p()=.

Proof

The proof follows from the above remark. From the remark we have p()= this implies p2()=p(p())=,p3()=p(p2())=...Hence p()=. □

Proposition 7.13

Let (X,τpcel) be a PFcel space and p:(X,τpcel)(X,τpcel) be a mapping. If 1,2 is a PFcelO open sets under the mapping p , then p(12)=p(1)p(2) .

Proof

There are three cases here,

Case 1 Suppose p is bijective. p(xi)=xj,xi,xjXij for i,jI. Let 1 and 2 be PFcelO open sets under the mapping p. Then there exists ϱ1,ϱ2PF(X) defined as

ϱ1=(mi,ni),mi,niPF(X),iI,ϱ2=(si,ri),si,riPF(X),iI,

such that PFcelO(ϱ1)=1 PFcelO(ϱ2)=2. From Proposition 7.8,

PFcelO(ϱ1)=min(mi),max(ni)=1,PFcelO(ϱ2)=min(si),max(ri)=2

Thus PFcelO(ϱ1)PFcelO(ϱ2)={min(mi,si),max(ni,si)}. Hence p(ϱ1ϱ2)=12, p2(ϱ1ϱ2)=12 p3(ϱ1ϱ2)=12....

Therefore by definition, PFcelO(12) and Proposition 7.8. p(12)=p(1)p(2).

Case 2 Suppose p is bijective. p(xi)=xj,xi,xjXi=j for i,jI. Let 1and2 be PFcelO open sets under the mapping p. Then there exists ϱ1,ϱ2PF(X) defined as

ϱ1=(mi,ni),mi,niPF(X),iI.ϱ2=(si,ri),si,riPF(X),iI.

From Proposition 7.8 PFcelO(ϱ1)=1, PFcelO(ϱ2)=2

PFcelO(ϱ1)={(mi,ni)fori=jmin(mi),max(ni)forij}=1PFcelO(ϱ2)={(si,ri)fori=jmin(si),max(ri)forij}=2

Thus PFcelO(ϱ1)2={min(mi,si),max(ni,ri)}.

Hence p(12)=p(1)p(2).

Case 3

If the mapping p is constant mapping. The proof is obvious. □

Proposition 7.14

Let (X,τpcel) be a PFcel space and p:(X,τpcel)(X,τpcel) be a mapping. If 1,2 is a PFcelO open sets under the mapping p , then p(12)=p(1)p(2) .

Proof

The proof is simple. □

Definition 7.15

Let (X,τpcel,TD) be a PFcelTDS and let ϱ be a PFcel of X is a PFcel invariant set if p(ϱ)=ϱ and every PFcel invariant set is PFcelP.

Definition 7.16

A PFS in (X,τpcel) is called PFcel point if it takes the value zero for all yX except one, say xX. If its value at x is λ(0λ1). The PFcel point is denoted by xλ, where the point x is called its support.

Definition 7.17

Let (X,τpcel,TD) be a PFcelTDS and PFcelpoint ϱλPF(X) is said to be a recurrent point if p for any PFcel orbit neighbourhood U=U(ϱλ) of ϱλ then there exists positive integer N such that pnϱλU(ϱλ). The collection of recurrent PFcel points is denoted by PFcelRec(p).

Definition 7.18

Let ϱλPF(X) be any PFcel point is said to be recurrent PFcelpoint of the PFcelTDS (X,τpcel,TD) whenever for any PFcel open neighbourhood, ω=ω(ϱλ) of ϱλ then there exists an infinite set of positive integer n such that pn(ϱλ)ω(ϱλ). The collection of recurrent PFcel points is denoted by PFcelRec(p).

8. Pythagorean fuzzy cellular topological transitivity

This section examines the fundamental attribute of a dynamical system called topological transitivity. Pythagorean fuzzy cellular topological dynamical systems investigates this fundamental topological transitivity property in this section.

Definition 8.1

Let ℧ be a PFS in (X,τpcel) then

i) ℧ is said to be PFcel dense if there exists no PFcel closed set β0XPF(X) such that β1X. That is PFcelcl()=1X.

ii) ℧ is said to be PFcel no where dense if there exists no PFcel open set β0XPF(X) such that βPFcelcl(). That is PFcelint(PFcelcl())=0X.

Definition 8.2

Let (X,τpcel) be a PFcel compact. A homeomorphism p:(X,τpcel)(X,τpcel) is called PFcel topological transitive, if there is some PF(X) such that PFcelOS is PFcel dense in (X,τpcel) that is PFcelcl(PFcelO())=1X

Definition 8.3

Let p:(X,τpcel)(X,τpcel) is continuous, then PFcel topological transitivity is defined as an image of PFcelOS ℧. If PFcelO+() is PFcel dense in (X,τpcel) for some PF(X) then it is called PFcel positive topological transitivity.

Definition 8.4

Let (X,τpcel,TD) be a PFcelTDS. Then the PFcel ϱ of (X,τpcel) is said to be

i)PFcel invariant if p(ϱ)<ϱ.

ii) PFcel inversely invariant if p1(ϱ)<ϱ.

Definition 8.5

Let (X,τpcel,TD) be the PFcelTDS and let (X,τpcel) be a PFcel compact topological space. For any pair ϱ0X and γ0XPF(X) is said to be PFcel topological transitivity (PFcelTT).

i) (PFcelTT)N, if there exists a positive integer n, such that pn(ϱ)γ0X.

ii) (PFcelTT)N0, if there exists a non-negative integer n, such that pn(ϱ)γ0X.

Remark 8.6

Let (X,τpcel,TD) be the PFcelTDS. Then this system satisfies the property:

i) Property (PFcelTT)N is called the PFcel topological N transitivity.

ii) property (PFcelTT)N0 is called the PFcel topological N0 transitivity.

iii)If both i) and ii) are true, then PFcel topological Z transitivity.

That is for any pair of PFcel open sets ϱ and γPF(X) and integer n such that pn(ϱ)γ0X.

Definition 8.7

The PFcelOS PF(X) of (X,τpcel) is defined as the set PFcel+()=nN0pn(). The collection of all pre-images of PF(X) of (X,τpcel) under the function is denoted by PFcel()=nZ0pn() and their union PFcel()PFcel+() is denoted by PFcel±()=nZpn().

Proposition 8.8

Let (X,τpcel) be a PFcel compact topological space and for a PFcel homeomorphism p:(X,τpcel)(X,τpcel) the following are equivalent:

i) PFcel is topologically transitive.

ii) If β is PFcel closed sets (resp., open sets) of (X,τpcel) and p(β)=β then either β=1X (resp., 0X ) or β is nowhere PFcel dense (resp., PFcel dense).

iii) If β0X , ϱ0XPF(X) are Pythagorean fuzzy open sets, then there exists nZ with pn(β)ϱ0X .

iv) The collection {ϱPF(X):PFcelcl(PFcelOS))=1X} is PFcel dense.

Proof

i)⇒ ii) Assume that p is PFcel topological transitive. By definition, if there exists some ϱPF(X) such that PFcelO(ϱ) is PFcel dense in (X,τpcel). PFcelcl(PFcelO(ϱ))=1X.

Let β be a PFcel closed set of (X,τpcel) and p(β)=β. To prove that β=1X or β is nowhere PFcel dense. If there is PFcel open set 0Xξ<β then there exists nZ such that pn(ξ)<ϱ<β. So, PFcel orbit set of ϱ, PFcelO(ϱ)<β. Hence 1X<β. We get β=1X, otherwise there is no PFcel open sets ξ<β such that ξ<PFcelcl(β)=β. That is PFcelint(PFcelcl(β))=0X. Thus β is PFcel nowhere dense.

ii) ⇒ iii) Suppose ξ0X, ϱ0XPF(X) are PFcel open sets. Then n=pn(ξ) is a PFcel variant open set. So it is PFcel dense. By ii) n=pn(ξ)ϱ0X.

iii) ⇒ iv) This proof is simple.

To prove iv) Let ξ1,ξ2,...,ξn be a PFcel countable base for (X,τpcel), then its images of βn is also PFcel dense.

iv) ⇒ i)To show that p is PFcel topological transitive. Since the collection {ϱPF(X):PFcelcl(PFcelO))=1X} is PFcel dense. It belongs to this collection. □

Remark 8.9

Let (X,τpcel) be a PFcelcompact topological space and for a PFcel homeomorphism p:(X,τpcel)(X,τpcel) the following are equivalent:

i) PFcel is positive topologically transitive.

ii) If β is PFcel closed sets (resp., open sets) of (X,τpcel) and p(β)=β then either β=1X (resp., 0X) or β is nowhere PFcel dense (resp., PFcel dense).

iii) If β0X, ϱ0XPF(X) are Pythagorean fuzzy open sets, then there exists nZ with pn(β)ϱ0X.

iv) The collection {ϱPF(X):PFcelcl(PFcelO))=1X} is PFcel dense.

Proposition 8.10

Let (X,τpcel,TD) be a PFcel TDS and p:(X,τpcel)(X,τpcel be a PFcel continuous. Then the following are equivalent:

i) p is a PFcel topologically transitive.

ii) for any pair of PFcel open ϱ and γPF(X) there exists a positive nZ{0} such that pnγ0X .

iii) for any PFcel open set ϱ0XPF(X)n=0pn(ϱ)=1X .

iv) for any PFcel open set ϱ0XPF(X)n=0pn(ϱ)=1X .

v) for any pair of PFcel open sets γ0X and ϱ0XPF(X) , there exists a positive nZ0 such that pn(ϱ)γ0X .

vi) for any PFcel open set ϱ0XPF(X)n=1pn(ϱ)=1X .

vii) for any PFcel open set ϱ0XPF(X)n=1pn(ϱ)=1X

ix) If ϱ is PFcel open set of (X,τpcel) and p1(ϱ)<ϱ then either ϱ=0X or ϱ is nowhere PFcel dense.

Proof

i)-vii) by the Definitions 7.4(PFcel orbit*) and 7.15 (inversely variant)

viii), ix) by the above Proposition 8.8. □

Proposition 8.11

For the PFcel orbit set for the following properties hold:

a) i) p(PFcel+(ϱ)) = PFcel+p(ϱ)<PFcel+(ϱ)<p1PFcel+p(ϱ) .

ii) p(PFcel(ϱ)) = p1PFcel(ϱ)<p1PFcel(ϱ) .

iii) p(PFcel±(ϱ)) = PFcel±(ϱ)<p1PFcel±(ϱ) .

b)i) PFcel(ϱ)=xX:PFcel+(1X)ϱ0X .

ii) PFcel+(ϱ)=xX:PFcel(1X)ϱ0X .

iii) PFcel±(ϱ)=xX:PFcel±(1X)ϱ0X .

c) If βPF(X) of (X,τpcel) , then

i) PFcel+(ϱβ) = PFcel+(ϱ)PFcel+(β)

ii) PFcel(ϱβ) = PFcel(ϱ)PFcel(β)

iii) PFcelpm(ϱβ) = PFcel±(ϱ)PFcel±(β)

d)i) PFcel+(ϱ)=pn+((j=0n1pj(ϱ)))

ii) PFcel(ϱ)=pn((j=0n1pj(ϱ)))

Proof

By the Proposition 8.10 and by Definition 8.7.

To prove a)i) p(PFcel+(ϱ))=p(nN0pn(ϱ)) = (nN0pnp(ϱ))=PFcel+(ϱ)<p1(PFcel+(ϱ)).

ii) p(PFcel(ϱ))=p(nN0pn(ϱ)) = (nN0pnp1(ϱ))=PFcel(ϱ)<p1(PFcel(ϱ)).

iii) p(PFcel±(ϱ))=p(nN0pn(ϱ)) = (nN0pnp1(ϱ))=PFcel±(ϱ)<p1(PFcel±(ϱ)).

b)i) Assume i) PFcel(ϱ)=xX:PFcel+(1X)ϱ0X. Similarly the other two cases are easy.

c)i) Let βPF(X), to prove this by using Definition 8.7

PFcel+(ϱβ) = nN0pn(ϱβ)=(nN0pn(ϱ))(nN0pn(β))=PFcel+(ϱ)PFcel+(β). Hence true for ii) and iii).

d)i) PFcel+(ϱ)=mN0(j=0n1pj+mn(ϱ))=pn+(j=0n1pj(ϱ))

ii) PFcel(ϱ)=mZ0(j=0n1pjmn(ϱ))=pn(j=0n1pj(ϱ)). □

Proposition 8.12

The following statements are true for PFcel invariant sets:

i) If p(ϱ)<ϱ , then PFcel+(ϱ)=ϱ and p1(ϱ)<ϱ then PFcel(ϱ)=ϱ

ii) p(ϱ)<ϱ if and only if p1(1Xϱc)<(1Xϱc) .

iii) The intersection of any number of PFcel invariants sets ( (PFcel inversely invariant) is PFcel invariant sets ( (PFcel inversely invariant).

iv) If pn(ϱ)=ϱ , then p(j=0n1pj(ϱ))j=0n1pj(ϱ) and PFcel+(ϱ)=j=0n1pj(ϱ) .

v) If pn(ϱ)=ϱ , then p1(j=0n1pj(ϱ))j=0n1pj(ϱ) and PFcel(ϱ)=j=0n1pj(ϱ) .

Proof

i) and iii) are by the Definition 8.4

ii) Assume PFcel(ϱ)=ϱ, p1(1Xϱc)=p1(1X)p1(ϱ)=(1X)ϱc by the Definition 8.4. Conversely, assume that p1(1X)ϱc)<1Xϱc by the Definition 8.4 p(ϱ)<ϱ.

iv) p(j=0n1pj(ϱ))=j=0n1pj+1(ϱ) = pn(ϱ)j=1n1pj(ϱ)j=0n1pj+1(ϱ) By Proposition 8.10 PFcel+(ϱ)=pn+(j=0n1pj(ϱ))j=0n1pj(ϱ).

v) is similar to the proof of iv). □

9. Conclusion and recommendation of the study

In this study, Pythagorean fuzzy cellular space is defined. The Pythagorean fuzzy cellular space is used to study continuity, compactness, normality, and homeomorphism. The PFcelTDS is introduced and implemented using the Pythagorean fuzzy cellular space. The PFcelTDS under the Pythagorean fuzzy cellular continuous map employs an iterative approach. Furthermore, the iterative technique generates a Pythagorean fuzzy orbit* set. This study depicts that PFcelTDS is topologically transitive, which is a key feature of all fuzzy topological dynamical systems. Chaos and topological atoms can be defined and extended to PFcelTDS. Pythagorean fuzzy cellular continuity, compactness, and normality may be extended in an assortment of ways. If the dynamical system is vague, this novel PFcelTDS can be employed to improve comprehension. There are several real-time applications in image processing, pattern recognition, and control theory. For example, in control theory, two types of control system are there namely, open-loop and closed-loop control system. Iterative process is employed to each set in the system [21] under the continuous map. This kind of application may be considered for future study with the PFcelTDS.

CRediT authorship contribution statement

Gnanachristy N B: Writing – original draft. Revathi G K: Writing – review & editing.

Declaration of Competing Interest

All authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Contributor Information

Gnanachristy N B, Email: nbgnanam92@gmail.com.

Revathi G K, Email: gnanachristy.nb2019@vitstudent.ac.in, revathi.gk@vit.ac.in.

Data availability

No data was used for the research described in this article.

References

  • 1.Alseda Ll, del Rıo M.A., Rodrıguez J.A. A splitting theorem for transitive maps. J. Math. Anal. Appl. 1999;232(2):359–375. [Google Scholar]
  • 2.Bauer Walter, Sigmund Karl. Topological dynamics of transformations induced on the space of probability measures. Monatshefte Math. 1975;79:81–92. [Google Scholar]
  • 3.Bilokopytov E., Kolyada S.F. Transitive maps on topological spaces. Ukr. Math. J. 2014;65:1293–1318. [Google Scholar]
  • 4.Devaney Robert. CRC Press; 2018. An Introduction to Chaotic Dynamical Systems. [Google Scholar]
  • 5.Eisner Tanja, Farkas Bálint, Haase Markus, Nagel Rainer, Eisner Tanja, Farkas Bálint, Haase Markus, Nagel Rainer. Operator Theoretic Aspects of Ergodic Theory. 2015. Topological dynamical systems; pp. 9–32. [Google Scholar]
  • 6.Haydar Es A. Connectedness in pythagorean fuzzy topological spaces. Int. J. Math. Trends Technol. 2019;65:110–116. [Google Scholar]
  • 7.Fedeli Alessandro. On discontinuous transitive maps and dense orbits. Bull. Belg. Math. Soc. Simon Stevin. 2006;13(2):241–245. [Google Scholar]
  • 8.Kaki Mohammed N. Murad. Introduction to weakly b-transitive maps on topological space. Sci. Res. Sci. PG. 2013;1(4):59–62. [Google Scholar]
  • 9.Kolyada S., Snoha L. ', Trofimchuk S. On minimality of nonautonomous dynamical systems. Nonlinear Oscil. 2004;7(1):83–89. [Google Scholar]
  • 10.Sergiĭ Kolyada, A survey of some aspects of dynamical topology: dynamical compactness and slovak spaces.
  • 11.Lan Yaoyao. Chaos in nonautonomous discrete fuzzy dynamical systems. J. Nonlinear Sci. Appl. 2016;9:404–412. [Google Scholar]
  • 12.Lan Yaoyao, Li Qingguo, Mu Chunlai, Huang Hua, et al. vol. 2012. Hindawi; 2012. Some Chaotic Properties of Discrete Fuzzy Dynamical Systems. (Abstract and Applied Analysis). [Google Scholar]
  • 13.Leiderman Arkady G., Tkachenko Mikhail G. Lattices of homomorphisms and pro-lie groups. Topol. Appl. 2016;214:1–20. [Google Scholar]
  • 14.Merzenich Wolfgang. Cellular spaces. Metamedicine. 1980;1:51–65. [Google Scholar]
  • 15.Olgun Murat, Ünver Mehmet, Yardımcı Seyhmus. Pythagorean fuzzy topological spaces. Complex Intell. Syst. 2019;5(2):177–183. [Google Scholar]
  • 16.Wu Xinxing, Ding Xianfeng, Lu Tianxiu, Wang Jianjun. Topological dynamics of Zadeh's extension on upper semi-continuous fuzzy sets. Int. J. Bifurc. Chaos. 2017;27(10) [Google Scholar]
  • 17.Martínez-Giménez F., Peris A., Rodenas F. Chaos on fuzzy dynamical systems. Mathematics. 2021;9(20):2629. [Google Scholar]
  • 18.Zadeh L.A. Fuzzy sets. Inf. Control. 1965;8(3):338–353. [Google Scholar]
  • 19.Chang C.L. Fuzzy topological spaces. J. Math. Anal. Appl. 1968;24(1):182–190. [Google Scholar]
  • 20.Çoker D. An introduction to intuitionistic fuzzy topological spaces. Fuzzy Sets Syst. 1997;88(1):81–89. [Google Scholar]
  • 21.Ünver M., Olgun M. Mathematical Problems in Engineering. 2023. q-rung orthopair picture fuzzy topological spaces and parameter-dependent continuity: control system applications. [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

No data was used for the research described in this article.


Articles from Heliyon are provided here courtesy of Elsevier

RESOURCES