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On deferred statistical convergence of sequences of sets

  • The main purpose of this paper is to introduce the concepts of Wijsman deferred statistical convergence and Wijsman strong deferred Cesàro summability for sequences of sets.

    Citation: Mikail Et, M. Çagri Yilmazer. On deferred statistical convergence of sequences of sets[J]. AIMS Mathematics, 2020, 5(3): 2143-2152. doi: 10.3934/math.2020142

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  • The main purpose of this paper is to introduce the concepts of Wijsman deferred statistical convergence and Wijsman strong deferred Cesàro summability for sequences of sets.


    The idea of statistical convergence was introduced by Fast [1] and Steinhaus [2] independently in the same year 1951 and since then several generalizations and applications of this concept have been investigated by various authors namely Bhardwaj and Dhawan [3,4], Cakalli [5], Cinar et al. [6], Caserta et al. [7], Colak [8], Connor [9], Et et al. [10,11,12], Esi et al. [13], Fridy [14], Hazarika et al. [15], Isik et al. [16,17], Mursaleen [18], Nuray and Rhoades [19], Salat [20], Savas and Et [21], Srivastava and Et [22], Sengul et al. [23,24], Yilmazturk and Kucukaslan [25] and many others.

    The idea of statistical convergence depends upon the density of subsets of the set N of natural numbers. The density of a subset E of N is defined by

    δ(E)=limn1nnk=1χE(k),

    provided that the limit exists, where χE is the characteristic function of the set E. It is clear that any finite subset of N has zero natural density and that

    δ(Ec)=1δ(E).

    A sequence x=(xk)kN is said to be statistically convergent to L if, for every ε>0, we have

    δ({kN:|xkL|ε})=0.

    In this case, we write

    xkstatLaskorSlimkxk=L.

    Agnew [26] introduced the concept of deferred Cesàro mean of real (or complex) valued sequences x=(xk) defined by

    (Dba(x))n=1bnanbnk=an+1xk,n=1,2,3,, (1)

    where a=(an) and b=(bn) are two sequences of non-negative integers satisfying

    an<bnandlimnbn=. (2)

    Deferred density of KN defined by

    δba(K)=limn|{k:an<kbn,kK}|bnan.

    A sequence x=(xk) is said to be deferred statistically convergent to L provided that

    limn|{an<kbn:|xkL|ε}|bnan=0

    for each ε>0 and it is written by Sbalimxk=L [27].

    Let (X,ρ) be a metric space. The distance d(x,A) from a point x to a non-empty subset A of (X,ρ) is defined to be

    d(x,A)=infyAρ(x,y).

    If supkd(x,Ak)< (for each xX), then we say that the sequence {Ak} is bounded.

    In the present section we shall give the definitions of Wijsman deferred statistical convergence and Wijsman strong deferred Cesàro summability and examine some inclusion properties regarding these concepts.

    Definition 1. Let (an) and (bn) be sequences of non-negative integers satisfying the conditions (2), A and Ak be non-empty closed subsets of X for each k. A sequence {Ak} is said to be Wijsman deferred statistically convergent to A (or WSdconvergent) provided that

    limn1bnan|{an<kbn:|d(x,Ak)d(x,A)|ε}|=0

    for each ε>0 and for each xX, and it is written by AkA(WSd) or WSdlimAk=A. The set of all WSdconvergent sequences will be denoted by WSd. If bn=n, an=0, then we write WS instead of WSd.

    If we take bn=kn, an=kn1, where (kn) is a lacunary sequence, then WSdconvergence is the same as Wijsman lacunary statistical convergence given by Bhardwaj and Dhawan [4].

    As an example, consider the following sequence:

    Let bn=kn, an=kn1, where (kn) is a lacunary sequence and consider a sequence of sets defined by

    Ak={{3x},kn1<k<kn1+hn{0},otherwise

    For X=R, ρ(x,y)=|xy|,A={1} and x>1, we have

    1hn|{kIn:|d(x,Ak)d(x,{1})|ε}|0,

    so WSdlimAk={1}.

    Definition 2. Let (an) and (bn) be sequences of non-negative integers satisfying the conditions (2), A and Ak non-empty closed subsets of X for each k. We say that the sequence {Ak} is Wijsman strong deferred Cesàro convergent to A (or WNdconvergent) if for each xX,

    limn1bnanbnan+1|d(x,Ak)d(x,A)|=0,

    and we write AkA(WNd) or WNdlimAk=A. The set of all WNdconvergent sequences is denoted by WNd. If bn=n, an=0, then we write WN instead of WNd.

    If we take bn=kn, an=kn1, where (kn) is a lacunary sequence, then WNdconvergence coincides with Wijsman lacunary strong Cesàro convergence given by Bhardwaj and Dhawan [4].

    As an example, consider the following sequence:

    Let bn=kn, an=kn1, where (kn) is a lacunary sequence and consider a sequence defined by

    Ak={{xk2},kn1<k<kn1+hn{0},otherwise

    Let X=R, x,yX, ρ(x,y)=|xy|, A={1} and x>1. Since

    1hnkIn|d(x,Ak)d(x,{1})|0

    the sequence {Ak} is WNdconvergent to {1}.

    Here and in what follows we suppose that the sets A and Ak (for each kN) are non-empty closed subsets of X for each k.

    Theorem 1. Let (an) and (bn) be sequences of non-negative integers satisfying the conditions (2) and A,AkX, then every Wijsman strong deferred Cesàro convergent sequence is Wijsman deferred statistically convergent, but the converse is not true.

    Proof. First part of the proof is easy. For the converse, take bn=kn, an=kn1, where (kn) is a lacunary sequence, ρ(x,y)=|xy|, X=R and define {Ak} by

    Ak={{hn}if kIn such that k=kn1+1{0},otherwise.

    Note that {Ak} is not a bounded sequence and for each xX, we have

    1hnkIn|d(x,Ak)d(x,0)|=1hn|d(x,Akn1+1)d(x,0)|=1hn|d(x,hn)d(x,0)|1hn|(xhn)(x0)|=1hnhn1(n)

    so {Ak}WNd, but

    1hn|{kIn:|d(x,Ak)d(x,{0})|>ε}|=1hn0(n)

    and so {Ak}WSd.

    From Theorem 1 we have the following:

    Corollary 1. Let (an) and (bn) be sequences of non-negative integers satisfying the conditions (2) and A,AkX, then every Wijsman strong Cesàro convergent sequence is Wijsman statistically convergent, but the converse is not true.

    Theorem 2. Let (an) and (bn) be sequences of non-negative integers satisfying the conditions (2) and A,AkX. If the sets A and Ak (for each kN) are bounded, then every Wijsman deferred statistically convergent sequence is Wijsman strong deferred Cesàro convergent.

    Proof. Let {Ak} be Wijsman deferred statistically convergent to A and ε>0 be given. Then there exists xX such that

    limn1bnan|{an<kbn:|d(x,Ak)d(x,A)|ε}|=0.

    Since A,Ak (for each kN) are bounded, we can write (for each xX and ε>0)

    1bnanbnan+1|d(x,Ak)d(x,A)|=1bnanbnan+1|d(x,Ak)d(x,A)|ε|d(x,Ak)d(x,A)|+1bnanbnan+1|d(x,Ak)d(x,A)|<ε|d(x,Ak)d(x,A)|Mbnan|{an<kbn:|d(x,Ak)d(x,A)|ε}|+ε

    Taking limit n, we get WNdlimAk=A.

    From Theorem 2 we have the following:

    Corollary 2. Let (an) and (bn) be sequences of non-negative integers satisfying the conditions (2) and A,AkX. If the sets A and Ak (for each kN) are bounded, then every Wijsman statistically convergent sequence is Wijsman strong Cesàro convergent.

    Theorem 3. Let (an) and (bn) be sequences of non-negative integers satisfying the conditions (2) and A,AkX, If limnbnann=a>0,(aR) and bn<n, then every WSconvergent sequence to A is WSdconvergent to A.

    Proof. Let {Ak} be a WSconvergent sequence to A, limnbnann=a>0 and bn<n. For a given ε>0, we have

    {kn:|d(x,Ak)d(x,A)|ε}{an<kbn:|d(x,Ak)d(x,A)|ε}

    therefore

    1n|{kn:|d(x,Ak)d(x,A)|ε}|1n|{an<kbn:|d(x,Ak)d(x,A)|ε}|=bnann1bnan|{an<kbn:|d(x,Ak)d(x,A)|ε}|.

    So {Ak} is WSdconvergent to A.

    Theorem 4. Let (an),(an),(bn) and (bn) be sequences of non-negative integers satisfying the following condition and (2)

    an<an<bn<bn for all nN, (3)

    A,AkX and suppose that the sets {k:an<kan} and {k:bn<kbn} are finite for all nN, then every WSdconvergent sequence is WSdconvergent, where

    WSd={A=(Ak):limn1bnan|{an<kbn:|d(x,Ak)d(x,A)|ε}|=0}.

    Proof. Let us assume that the sequence {Ak} is WSdconvergent. Then for any ε>0 we have

    1bnan|{k:an<kbn:|d(x,Ak)d(x,A)|ε}|1bnan|{k:an<kan:|d(x,Ak)d(x,A)|ε}|+1bnan|{k:an<kbn:|d(x,Ak)d(x,A)|ε}|+1bnan{k:bn<kbn:|d(x,Ak)d(x,A)|ε}.

    Taking limit when n, we get

    lim1bnan|{k:an<kbn:|d(x,Ak)d(x,A)|ε}|=0.

    Theorem 5. Let (an),(an),(bn) and (bn) be sequences of non-negative integers satisfying (2) and (3) such that

    limbnanbnan=a>0, (aR) (4)

    and A,AkX, then every WSdconvergent sequence is WSdconvergent.

    Proof. It is easy to see that the inclusion

    {k:an<kbn:|d(x,Ak)d(x,A)|ε}{k:an<kbn:|d(x,Ak)d(x,A)|ε}

    holds and so the following inequality too

    |{k:an<kbn:|d(x,Ak)d(x,A)|ε}||{k:an<kbn:|d(x,Ak)d(x,A)|ε}|.

    Therefore we have

    1bnan|{k:an<kbn:|d(x,Ak)d(x,A)|ε}|bnanbnan1bnan|{k:an<kbn:|d(x,Ak)d(x,A)|ε}|.

    Taking limits when n, we get

    lim1bnan|{k:an<kbn:|d(x,Ak)d(x,A)|ε}|=0.

    Theorem 6. Let (an),(an),(bn) and (bn) be sequences of non-negative integers satisfying (2),(3),(4) and A,AkX, then every WNd convergent sequence is WNdconvergent.

    Proof. Proof follows from the inequality

    1bnanbnan+1|d(x,Ak)d(x,A)|1bnanbnan+1|d(x,Ak)d(x,A)|
    bnanbnan1bnanbnan+1|d(x,Ak)d(x,A)|.

    Theorem 7. Let (an),(an),(bn) and (bn) be sequences of non-negative integers satisfying (2) and (3), Ak (for each kN) and A are bounded (A,AkX) and suppose that the sets {k:an<kan} and {k:bn<kbn} are finite for all nN, then every WNdconvergent sequence is WNdconvergent.

    Proof. Since Ak (for each kN) and A are bounded, we have |d(x,Ak)d(x,A)|M for some M>0. So we have

    1bnanbnan+1|d(x,Ak)d(x,A)|=1bnananan+1|d(x,Ak)d(x,A)|+1bnanbnan+1|d(x,Ak)d(x,A)|+1bnanbnbn+1|d(x,Ak)d(x,A)|2bnanMO(1)+1bnanbnan+1|d(x,Ak)d(x,A)|.

    Taking limit when n, we get

    lim1bnanbnan+1|d(x,Ak)d(x,A)|=0.

    In the following theorem, by changing the conditions on the sequences (an) and (bn) we give the same relation with Theorem 3.

    Theorem 8. Let (an) and (bn) be sequences of non-negative integers satisfying the conditions (2) and A,AkX, and let liminfnbnan>1. If the sequece {Ak} is Wijsman statistically convergent to A, then it is Wijsman deferred statistically convergent to A.

    Proof. Let liminfnbnan>1, then we can find a number r>0 such that bnan>1+r for sufficiently large n, which implies that

    bnanbnr1+r1bnr(1+r)1(bnan).

    If WSlimAk=A, then we have

    1bn|{kbn:|d(x,Ak)d(x,A)|ε}|1bn|{an<kbn:|d(x,Ak)d(x,A)|ε}|r(1+r)1(bnan)|{an<kbn:|d(x,Ak)d(x,A)|ε}|.

    So we have WSdlimAk=A.

    Theorem 9. Let A,AkX and supn(bnbnan)<. Let (an) and (bn) be sequences of non-negative integers satisfying (2) such that

    i) limnan=,

    ii)limnbnan=.

    If {Ak} is Wijsman strong Cesàro convergent to A, then it is Wijsman strong deferred Cesàro convergent to A.

    Proof. Suppose that supnbnbnan<, then supn(anbnan)<. In this case we can find positive numbers M and K such that bnbnanM and anbnanK. Then we have

     1(bnan)bnan+1|d(x,An)d(x,A)|=1(bnan)bnk=1|d(x,Ak)d(x,A)|1(bnan)ank=1|d(x,Ak)d(x,A)|=bn(bnan)1bnbnk=1|d(x,Ak)d(x,A)|an(bnan)1anank=1|d(x,Ak)d(x,A)|<Mbnbnk=1|d(x,Ak)d(x,A)|+Kanank=1|d(x,Ak)d(x,A)|.

    So {Ak} is WNdconvergent to A.

    In the following theorems, by changing the conditions on the sequences (an) and (bn) we give the same relation with Theorem 9.

    Theorem 10. Let (an) and (bn) be sequences of non-negative integers satisfying the conditions (2) and A,AkX, If liminfnbnan>1, then WNWNd.

    Theorem 11. Let (an) and (bn) be sequences of non-negative integers satisfying the conditions (2) and A,AkX, if liminfn(bnan)n>0 and bn<n then WNWNd.

    The concepts of Wijsman statistical convergence and Wijsman strong Cesàro summability for sequences of sets were introduced and studied by Nuray and Rhoades [19] in 2012 and then the concepts were improved by Bhardwaj et al. [4], Esi et al. [13], Hazarika et al. [15] and Sengul [24]. In this paper we study the concepts of Wijsman deferred statistical convergence and Wijsman strong deferred Cesàro summability for sequences of sets. The results which we obtained in this study are much more general than those obtained by others. To get these general results, we introduce some of fairly wide classes of sequences of sets using two sequences of non-negative integers satisfying the conditions an<bnandlimnbn=. Researchers who are working in this area can study the concepts of Wijsman deferred statistical convergence of order α and Wijsman strong deferred Cesàro summability of order α for sequences of sets, where 0<α1.

    This research was supported by FUBAP (The Management Union of the Scientific Research Projects of Firat University) under the Project Number: FUBAB FF.19.05.

    The authors declare that they have no conflict of interests.



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