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Research Article

Intuitionistic fuzzy I-convergent sequence spaces defined by compact operator

, , , & | (Reviewing Editor)
Article: 1267904 | Received 21 Oct 2016, Accepted 29 Nov 2016, Published online: 04 Jan 2017

Abstract

The purpose of this paper is to introduce the intuitionistic fuzzy I-convergent sequence spaces S(μ,ν)I(T) and S0(μ,ν)I(T) defined by compact operator and study the fuzzy topology on the above said spaces.

Public Interest Statement

Fuzzy set theory is a powerful hand set for modelling uncertainty and vagueness in various problems arising in field of science and engineering. It has a wide range of applications in various fields. The concept of intuitionistic fuzzy normed space and of intuitionistic fuzzy 2-normed space are the latest developments in fuzzy topology. Quite recently, V. A. Khan and Yasmeen studied the notion of I-convergence in Intuitionistic Fuzzy Zweier I-convergent Sequence Spaces.

The purpose of this paper is to introduce the intuitionistic fuzzy I-convergent sequence spaces defined by compact operator and study the fuzzy topology on the said spaces.

1. Introduction and preliminaries

After the pioneering work of Zadeh (Citation1965), a huge number of research papers have been appeared on fuzzy theory and its applications as well as fuzzy analogues of the classical theories. Fuzzy set theory is a powerful hand set for modelling uncertainty and vagueness in various problems arising in field of science and engineering. It has a wide range of applications in various fields: population dynamics (Barros, Bassanezi, & Tonelli, Citation2000), chaos control (Fradkov & Evans, Citation2005), computer programming (Giles, Citation1980), nonlinear dynamical system (Hong & Sun,Citation2006), etc. Fuzzy topology is one of the most important and useful tools and it proves to be very useful for dealing with such situations where the use of classical theories breaks down. The concept of intuitionistic fuzzy normed space (Saddati & Park, Citation2006) and of intuitionistic fuzzy 2-normed space (Mursaleen & Lohani, Citation2009) are the latest developments in fuzzy topology. Recently Khan, Ebadullah, and Yasmeen (Citation2014), Khan and Yasmeen (Citation2015,Citation2014,Citation2016a,Citation2016b) studied the intuitionistic fuzzy Zweier I-convergent sequence spaces defined by paranorm, modulus function and Orlicz function.

The notion of statistical convergence is a very useful functional tool for studying the convergence problems of numerical problems/matrices(double sequences) through the concept of density. The notion of I-convergence, which is a generalization of statistical convergence (Alotaibi, Hazarika, & Mohiuddine, Citation2014; Fast, Citation1951; Hazarika & Mohiuddine, Citation2013; Mohiuddine, Alotaibi, & Alsulami, Citation2012; Mohiuddine & Lohani, Citation2009; Mursaleen & Mohiuddine, Citation2009a,Citation2009b,Citation2010; Mursaleen, Mohiuddine, & Edely, Citation2010) was introduced by Kostyrko, Salat and Wilczynski (Citation2000) using the idea of I of subsets of the set of natural numbers N and further studied in Nabiev, Pehlivan, and Gürdal (Citation2007). Recently, the notion of statistical convergence of double sequences x=(xij) has been defined and studied by Mursaleen and Edely (Citation2003), and for fuzzy numbers by Savaş and Mursaleen (Citation2004), Mursaleen, Srivastava and Sharma (Citation2016). Quite recently, Das, Kostyrko, Wilczynski and Malik (Citation2008) studied the notion of I and I-convergence of double sequences in R.

We recall some notations and basic definitions used in this paper.

Definition 1.1

Let I2N be a non-trivial ideal in N. Then a sequence x=(xk) is said to be I-convergent to a number L if, for every ϵ>0, the set {kN:|xk-L|ϵ}I.

Definition 1.2

Let X be a non empty set. Then F2X is said to be a filter on X if and only if ϕF,forA,BFwe haveABF and for each AFandBAimpliesBF i.e. to each Ideal I there is a Filter corresponding to I, F(I)={KN:KcI}.

Definition 1.3

Let I2N be a non-trivial ideal in N. Then a sequence x=(xk) is said to be I-Cauchy if, for each ϵ>0, there exists a number N=N(ϵ) such that the set {kN:|xk-xN|ϵ}I.

Definition 1.4

(See, Khan, Ebadullah, & Rababah, Citation2016c)   The five-tuple (X,μ,ν,,) is said to be an intuitionistic fuzzy normed space (for short, IFNS) if X is a vector space, is a continuous t-norm, is a continuous t-conorm and μ, ν are fuzzy sets on X×(0,) satisfying the following conditions for every x,yX and s,t>0:

(a)

μ(x,t)+ν(x,t)1,

(b)

μ(x,t)>0,

(c)

μ(x,t)=1 if and only if x=0,

(d)

μ(αx,t)=μ(x,t|α|) for each α0,

(e)

μ(x,t)μ(y,s)μ(x+y,t+s),

(f)

μ(x,.):(0,)[0,1] is continuous,

(g)

limtμ(x,t)=1 and limt0μ(x,t)=0,

(h)

ν(x,t)<1,

(i)

ν(x,t)=0 if and only if x=0,

(j)

ν(αx,t)=ν(x,t|α|) for each α0,

(k)

ν(x,t)ν(y,s)ν(x+y,t+s),

(l)

ν(x,.):(0,)[0,1] is continuous,

(m)

limtν(x,t)=0 and limt0ν(x,t)=1.

In this case (μ,ν) is called an intuitionistic fuzzy norm.

Definition 1.5

Let (X,μ,ν,,) be an IFNS. Then a sequence x=(xk) is said to be convergent to LX with respect to the intuitionistic fuzzy norm (μ,ν) if, for every ϵ>0 and t>0, there exists k0N such that μ(xk-L,t)>1-ϵ and ν(xk-L,t)<ϵ for all kk0. In this case we write (μ,ν)-limx=L.

Definition 1.6

Let (X,μ,ν,,) be an IFNS. Then a sequence x=(xk) is said to be a Cauchy sequence with respect to the intuitionistic fuzzy norm (μ,ν) if, for every ϵ>0 and t>0, there exists k0N such that μ(xk-xl,t)<ϵ and ν(xk-xl,t)<ϵ for all k,lk0.

Definition 1.7

Let K be the subset of natural numbers N. Then the asymptotic density of K, denoted by δ(K), is defined as

δ(K)=limn1n|{kn:kK}|, where the vertical bars denotes the cardinality of of the enclosed set.

A number sequence x=(xk) is said to be statistically convergent to a number if, for each ϵ>0, the set K(ϵ)={kn:|xk-|>ϵ} has asymptotic density zero, i.e.limn1n|{kn:|xk-|>ϵ}|=0.

In this case we write st-limx=.

Definition 1.8

A number sequence x=(xk) is said to be statistically Cauchy sequence if, for every ϵ>0, there exists a number N=N(ϵ) such thatlimn1n|{jn:|xj-xN|ϵ}|=0.

The concepts of statistical convergence and statistical Cauchy for double sequences in intuitionistic fuzzy normed spaces have been studied by Mursaleen and Mohiuddine (Citation2010).

Definition 1.9

Let I2N be a non trivial ideal and (X,μ,ν,,) be an IFNS. A sequence x=(xk) of elements of X is said to be I-convergent to LX with respect to the intuitionistic fuzzy norm (μ,ν) if for every ϵ>0 and t>0 , the set{kN:μ(xk-L,t)1-ϵorν(xk-L,t)ϵ}I.

In this case L is called the I-limit of the sequence (xk) with respect to the intuitionistic fuzzy norm (μ,ν) and we write I(μ,ν)-limxk=L.

Definition 1.10

(See Khan, Shafiq, & Lafuerza-Guillen, Citationin press)    Let X and Y be two-normed linear spaces and T:D(T)Y be a linear operator, where DX. Then, the operator T is said to be bounded, if there exists a positive real k such thatTxkx,for allxD(T).

The set of all bounded linear operators B(X,Y) (Kreyszig, Citation1978) is a normed linear spaces normed byT=supxX,x=1Tx

and B(X,Y) is a Banach space if Y is a Banach space.

Definition 1.11

(See Khan et al., Citation2014)    Let X and Y be two-normed linear spaces. An operator T:XY is said to be a compact linear operator (or completely continuous linear operator), if

(i)

T is linear,

(ii)

T maps every bounded sequence (xk) in X on to a sequence (T(xk)) in Y which has a convergent subsequence.

The set of all compact linear operators C(X,Y) is a closed subspace of B(X,Y) and C(X,Y) is Banach space, if Y is a Banach space.

Khan et al. (Citation2015) introduced the following sequence spaces:Z(μ,ν)I={(xk)ω:{kN:μ(xk-L,t)1-ϵorν(xk-L,t)ϵ}I},Z0(μ,ν)I={(xk)ω:{kN:μ(xk,t)1-ϵorν(xk,t)ϵ}I}.

In this article, we introduce the following sequence spaces: S(μ,ν)I(T)={(xk):{kN:μ(T(xk)-L,t)1-ϵorν(T(xk)-L,t)ϵ}I};S0(μ,ν)I(T)={(xk):{kN:μ(T(xk),t)1-ϵorν(T(xk),t)ϵ}I}.

We also define an open ball with centre x and radius r with respect to t as follows:Bx(r,t)(T)={(yk):{kN:μ(T(xk)-T(yk),t)1-ϵorν(T(xk)-T(yk),t)ϵ}I}.

2. Main results

Theorem 2.1

S(μ,ν)I(T) and S0(μ,ν)I(T) are linear spaces.

Proof

We shall prove the result for S(μ,ν)I(T). The proof for the other space will follow similarly. Let x=(xk),y=(yk)S(μ,ν)I(T) and α,β be scalars. Then for a given ϵ>0, we haveA1=kN:μT(xk)-L1,t2|α|1-ϵorνT(xk)-L1,t2|α|ϵI;A2=kN:μT(yk)-L2,t2|β|1-ϵorνT(yk)-L2,t2|β|ϵI.A1c=kN:μT(xk)-L1,t2|α|>1-ϵorνT(xk)-L1,t2|α|<ϵF(I);A2c=kN:μT(yk)-L2,t2|β|>1-ϵorνT(yk)-L2,t2|β|<ϵF(I).

Define the set A3=A1A2, so that A3I. It follows that A3c is a non empty set in F(I). We shall show that for each (xk),(yk)S(μ,ν)I(T).A3c{kN:μ((αT(xk)+βT(yk))-(αL1+βL2),t)>1-ϵorν((αT(xk)+βT(yk))-(αL1+βL2),t)<ϵ}.

Let mA3c. In this caseμT(xm)-L1,t2|α|>1-ϵorνT(xm)-L1,t2|α|<ϵ

andμT(ym)-L2,t2|β|>1-ϵorνT(ym)-L2,t2|β|<ϵ.

We haveμ(αT(xm)+βT(ym))-(αL1+βL2),tμαT(xm)-αL1,t2μβT(xm)-βL2,t2=μT(xm)-L1,t2|α|μT(xm)-L2,t2|β|>(1-ϵ)(1-ϵ)=1-ϵ.

andν(αT(xm)+βT(ym))-(αL1+βL2),tναT(xm)-αL1,t2νβT(xm)-βL2,t2=μT(xm)-L1,t2|α|μT(xm)-L2,t2|β|<ϵϵ=ϵ.

This implies thatA3c{kN:μ((αT(xk)+βT(yk))-(αL1+βL2),t)>1-ϵorν((αT(xk)+βT(yk))-(αL1+βL2),t)<ϵ}. Hence S(μ,ν)I(T) is a linear space.

Theorem 2.2

Every open ball Bx(r,t)(T) is an open set in S(μ,ν)I(T).

Proof

Let Bx(r,t)(T) be an open ball with centre x and radius r with respect to t. That isBx(r,t)(T)={y=(yk):{kN:μ(T(xk)-T(yk),t)1-rorν(T(xk)-T(xk),t)r}I}.

Let yBxc(r,t)(T). Then μ(T(xk)-T(yk),t)>1-r and ν(T(xk)-T(yk),t)<r. Since μ(T(xk)-T(yk),t)>1-r, there exists t0(0,t) such that μ(T(xk)-T(yk),t0)>1-r and ν(T(xk)-T(yk),t0)<r. Putting r0=μ(T(xk)-T(yk),t0), we have r0>1-r, there exists s(0,1) such that r0>1-s>1-r. For r0>1-s, we have r1,r2(0,1) such that r0r1>1-s and (1-r0)(1-r0)s. Putting r3=max{r1,r2}. Consider the ball Byc(1-r3,t-t0)(T). We prove that Byc(1-r3,t-t0)(T)Bxc(r,t)(T). Let z=(zk)Byc(1-r3,t-t0)(T), then μ(T(yk)-T(zk),t-t0)>r3 and ν(T(yk)-T(zk),t-t0)<1-r3.

Thereforeμ(T(xk)-T(zk),t)μ(T(xk)-T(yk),t0)μ(T(yk)-T(zk),t-t0)(r0r3)(r0r1)(1-s)(1-r)

andν(T(xk)-T(zk),t)ν(T(xk)-T(yk),t0)ν(T(yk)-T(zk),t-t0)(1-r0)(1-r3)(1-r0)(1-r2)sr.

Thus zBxc(r,t)(T) and henceByc(1-r3,t-t0)(T)Bxc(r,t)(T).

Remark 2.3

S(μ,ν)I(T) is an IFNS.

Define τ(μ,ν)I(T)={AS(μ,ν)I(T):for eachxAthere existst>0andr(0,1)such thatBx(r,t)(T)A}.

Then τ(μ,ν)I(T) is a topology on S(μ,ν)I(T).

Theorem 2.4

The topology τ(μ,ν)I(T) on S0(μ,ν)I(T) is first countable.

Proof

Bx1n,1n(T):n=1,2,3, is a local base at x, the topology τ(μ,ν)I(T) on S0(μ,ν)I(T) is first countable.

Theorem 2.5

S(μ,ν)I(T) and S0(μ,ν)I(T) are Housdorff spaces.

Proof

We prove the result for S(μ,ν)I(T). Similarly the proof follows for S0(μ,ν)I(T). Let x,yS(μ,ν)I(T) such that xy. Then 0<μ(T(x)-T(y),t)<1 and 0<ν(T(x)-T(y),t)<1. Putting r1=μ(T(x)-T(y),t), r2=ν(T(x)-T(y),t) and r=max{r1,1-r2}. For each r0(r,1) there exists r3 and r4 such that r3r4r0 and (1-r3)(1-r4)(1-r0). Putting r5max{r3,1-r4} and consider the open balls Bx1-r5,t2 and By1-r5,t2. Then clearly Bxc1-r5,t2Byc1-r5,t2=ϕ. For if there exists zBxc1-r5,t2Byc1-r5,t2, thenr1=μ(T(x)-T(y),t)μ(T(x)-T(z),t2)μ(T(z)-T(y),t2)r5r5r3r3r0>r1

andr2=ν(T(x)-T(y),t)νT(x)-T(z),t2νT(z)-T(y),t2(1-r5)(1-r5)(1-r4)(1-r4)(1-r0)<r2

which is a contradiction. Hence S(μ,ν)I(T) is Housdorff.

Theorem 2.6

S(μ,ν)I(T) is an IFNS and τ(μ,ν)I(T) is a topology on S(μ,ν)I(T). Then a sequence (xk)S(μ,ν)I(T),xkx if and only if μ(T(xk)-T(x),t)1 and ν(T(xk)-T(x),t)0 as k.

Proof

Fix t0>0. Suppose Xkx. Then for r(0,1), there exists n0N such that (xk)Bx(r,t)(T) for all kn0,Bx(r,t)(T)={kN:μ(T(xk)-T(x),t)1-rorν(T(xk)-T(x),t)r}I,

such that Bxc(r,t)(T)F(I). Then 1-μ(T(xk)-T(x),t)<r and ν(T(xk)-T(x),t)<r. Hence μ(T(xk)-T(x),t)1 and ν(T(xk)-T(x),t)0 as k.

Conversely, if for each t>0,μ(T(xk)-T(x),t)1 and ν(T(xk)-T(x),t)0 as k, then for r(0,1), there exists n0N such that 1-μ(T(xk)-T(x),t)<r and ν(T(xk)-T(x),t)<r, for all kn0. It follows that μ(T(xk)-T(x),t)>1-r and ν(T(xk)-T(x),t)<r for all kn0. Thus (xk)Bxc(r,t)(T) for all kn0 and hence xkx.

Theorem 2.7

A sequence x=(xk)S(μ,ν)I(T) is I-convergent if and only if for every ϵ>0 and t>0 there exists a number N=N(x,ϵ,t) such thatkN:μT(xk)-L,t2>1-ϵorνT(xk)-L,t2<ϵF(I).

Proof

Suppose that I(μ,ν)-limx=L and let ϵ>0 and t>0. For a given ϵ>0, choose s>0 such that (1-ϵ)(1-ϵ)>1-s and ϵϵ<s. Then for each xS(μ,ν)I(T),A=kN:μT(xk)-L,t21-ϵorνT(xk)-L,t2ϵI,

which implies thatAc=kN:μT(xk)-L,t2>1-ϵorνT(xk)-L,t2<ϵF(I).

Conversely let us choose NA. ThenμT(xN)-L,t2>1-ϵorνT(xN)-L,t2<ϵ.

Now we want to show that there exists a number N=N(x,ϵ,t) such thatkN:μT(xk)-T(xN),t1-sorν(T(xk)-T(xN),t)sI.

For this, define for each xS(μ,ν)I(T)B=kN:μ(T(xk)-T(xN),t)1-sorν(T(xk)-T(xN),t)sI.

Now we have to show that BA. Suppose that BA. Then there exists nB and nA. Therefore we haveμ(T(xn)-T(xN),t)1-sorμT(xn)-L,t2>1-ϵ.

In particular μT(xN)-L,t2>1-ϵ. Therefore we have1-sμ(T(xn)-T(xN),t)μT(xn)-L,t2μT(xN)-L,t2(1-ϵ)(1-ϵ)>1-s,

which is not possible. On the other handν(T(xn)-T(xN),t)sorνT(xn)-L,t2<ϵ

In particular νT(xN)-L,t2<ϵ. Therefore we havesν(T(xn)-T(xN),t)νT(xn)-L,t2νT(xN)-L,t2ϵϵ<s,

which is not possible. Hence BA. AI implies BI.

Acknowledgements

The authors would like to record their gratitude to the reviewer for his careful reading and making some useful corrections which improved the presentation of the paper.

Additional information

Funding

The authors received no direct funding for this research.

Notes on contributors

Vakeel A. Khan

Vakeel A. Khan received his MPhil and PhD degrees in Mathematics from Aligarh Muslim University, Aligarh, India. Currently he is an associate professor at Aligarh Muslim University, Aligarh, India. A vigorous researcher in the area of Sequence Spaces , he has published a number of research papers in reputed national and international journals, including Numerical Functional Analysis and Optimization (Taylor’s and Francis), Information Sciences (Elsevier), Applied Mathematics Letters Applied Mathematics (Elsevier), A Journal of Chinese Universities (Springer- Verlag, China).

Hira Fatima

Hira Fatima received her MSc degree from Aligarh Muslim University, and is cur rently a Ph.D. scholar at Aligarh Muslim University.

Henna Altaf

Henna Altaf received MSc from Aligarh Muslim University, and is currently a PhD scholar at Aligarh Muslim University.

Q.M. Danish Lohani

Q.M. Danish Lohani is working as an assistant professor in the Department of Mathematics, South Asian University, New Delhi, India.

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