Research article

Best proximity points in non-Archimedean fuzzy metric spaces with application to domain of words

  • Received: 22 March 2022 Revised: 18 June 2022 Accepted: 23 June 2022 Published: 11 July 2022
  • MSC : 47H09, 47H10, 54H25

  • This paper deals with the existence and uniqueness of the best proximity points of nonself-mappings in the context of non-Archimedean fuzzy metric spaces. The existence of different proximal quasi-contractive mappings allowed us to generalize some results concerning the existence and uniqueness of the best proximity points in the existing literature. Moreover, an application in computer science, particularly in the domain of words has been provided.

    Citation: Basit Ali, Muzammil Ali, Azhar Hussain, Reny George, Talat Nazir. Best proximity points in non-Archimedean fuzzy metric spaces with application to domain of words[J]. AIMS Mathematics, 2022, 7(9): 16590-16611. doi: 10.3934/math.2022909

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  • This paper deals with the existence and uniqueness of the best proximity points of nonself-mappings in the context of non-Archimedean fuzzy metric spaces. The existence of different proximal quasi-contractive mappings allowed us to generalize some results concerning the existence and uniqueness of the best proximity points in the existing literature. Moreover, an application in computer science, particularly in the domain of words has been provided.



    The distinguished Banach fixed point theorem [3] deals with the existence and uniqueness of fixed point of self-mappings defined on a complete metric space and has numerous applications in mathematics and related disciplines, for instance in inverse problems (compare [19,36]). Due to its vast range of applications, Banach fixed point theorem has attracted several researchers to extend the scope of metric fixed point theory (compare [2,18,25,27]). On the other hand, if C and D are nonempty subsets of a metric space (X,d), then in the case of a nonself-mapping T:CD, there might not exist a point x in C such that x=Tx. In such situations, it is better to find an element x in C such that the distance between x and Tx is minimum, and if such an x in C exists, then it is the best proximity point (shortly BPP) of T.

    One of the earlier results regarding the existence of a BPP is attributed to Fan [8], which assures the existence of BPP of a continuous mapping of a nonempty compact convex subset of a Hausdorff locally convex topological vector space. Many extensions of Fan's theorems are available in the literature including Prolla [26], Reich [29], Sehgal and Singh [32]. Eldred and Veeramani [7] discussed the existence and convergence of best proximity points (shortly BPPs) in uniformly convex Banach spaces. Basha [4] presented BPP theorems for proximal contractions of the first and second kinds. Some other types of contractions were introduced by several authors like Bari et al. [6] who coined the idea of cyclic Meir-Keeler contractions and proved the existence and uniqueness of the BPP for cyclic Meir-Keeler contractions. Agarwal and Karpagam [17] discussed BPP results for p-cyclic Meir-Keeler contractions.

    Menger [23] introduced probabilistic metric spaces. Zadeh [35] introduced fuzzy sets to deal with uncertainty. Kramosil and Michalek [15] introduced the idea of probabilistic metric spaces to fuzzy metric spaces (shortly FMSs) and it was further modified by George and Veeramani (see [10,11]), which enabled them to assign to each fuzzy metric space (FMS) a Hausdorff topology. The fuzzy metric fixed point theory was initiated with the paper of Grabiec [12]. Fuzzy contractive mappings were triggered by Gregori and Sapena in [13] and generalized the Banach contraction principle by considering new types of fuzzy contractive mappings in FMSs. Mihet [20] generalized the Banach contraction principle by considering the fuzzy ψ-contractive mappings in non-Archimedean fuzzy metric spaces (shortly N-AFMSs) in [21].

    In the context of metric spaces, quasi-contractions were initiated by Ćirić [5]. On the other hand, the generalization of the fuzzy contractive condition of Sapena and Gregori in the form of fuzzy H-contractive mappings was presented by Wardowski in [34]. Amini and Mihet [1] introduced fuzzy H -quasi-contractive mappings using the idea of quasi-contractions by Ćirić and fuzzy H-contractive mappings by Wardowski.

    Moreover, results in the context of FMSs have applications in various areas of mathematics and other related disciplines, for instance in computer sciences, particularly in the context of the domain of words (compare [22,28,30]).

    On the other hand, by using different contractive conditions in an N-AFMS, Vetro and Saleemi [33] discussed the existence and uniqueness of fuzzy best proximity points. In this paper, first we prove the existence and uniqueness of fuzzy best proximity points of more general different proximal contractions on N-AFMSs and then we apply best proximity point results in an N-AFMS to solve a recurrence relation in connection with the domain of words.

    We will highlight some basic notions that will be used in the sequel to obtain the main results. Throughout this article, I represent the interval [0,1]. We start with the following definition.

    Definition 1.1. [31] A continuous t-norm is a binary operation :I×II such that

    T1 is commutative and associative;

    T2 is continuous;

    T3 1η=η for every η in I;

    T4 ηξζυ whenever ηζ and ξυ, for all η,ζ,ξ,υ in I.

    The three prototypical t-norms are product, minimum, and Lukasiewicz t -norms defined as

    ηprodζ=ηζ,ηminζ=min{η,ζ},ηLζ=max{η+ζ1,0},

    respectively. George and Veeramani defined the the FMS as follows.

    Definition 1.2. [10] Let Z be a nonempty set. Then a FMS is a triplet (Z,F,) with a continuous t-norm , and a fuzzy set F defined on Z×Z×(0,) satisfying the following conditions for all λ,μ,νZ and υ,w(0,).

    G1 F(μ,λ,υ)>0;

    G2 F(μ,λ,υ)=1 if and only if μ=λ;

    G3 F(μ,λ,υ)=F(λ,μ,υ);

    G4 F(μ,λ,υ)F(λ,ν,w)F(μ,ν,υ+w);

    G5 F(μ,λ,):(0,)(0,1] is continuous.

    Moreover, the triplet (Z,F,) is called an N-AFMS, if G4 is replaced by

    G6 F(μ,λ,υ)F(λ,ν,w)F(μ,ν,max{υ,w}), or equivalently,

    F(μ,λ,υ)F(λ,ν,υ)F(μ,ν,υ)([14]).

    Note that each N-AFMS is a FMS.

    Let (Z,F,) be a FMS and C, D be nonempty subsets of (Z,F,). Define

    C0(υ)={μC:F(μ,λ,υ)=F(C,D,υ)forsomeλD},D0(υ)={λD:F(μ,λ,υ)=F(C,D,υ)forsomeμC},

    where

    F(C,D,υ)=supμC,λDF(μ,λ,υ).

    Definition 1.3. [31] Let (Z,F,) be a FMS. Then

    (ⅰ) A sequence {yn} in Z converges to y in Z, if and only if

    limnF(yn,y,υ)=1

    for all υ>0. We denote it as yny as n.

    (ⅱ) [10] A sequence {yn} in Z is M -Cauchy if and only if for all ϵ(0,1) and υ>0, there is an n0N such that

    F(yn,ym,υ)>1ϵ

    for all m,nn0.

    (ⅲ) [13] A sequence {yn} is G -Cauchy if and only if, for all ϵ(0,1), and for all υ>0, there is an n0N such that

    limnF(yn,yn+p,υ)>1ϵ

    for all nn0 and any integer p>0.

    (ⅳ) The FMS (Z,F,) is called M -complete (G-complete) if every M-Cauchy (G-Cauchy) sequence is convergent.

    Note that every M-Cauchy sequence is G-Cauchy and hence every G -complete FMS is M-complete (compare [24]).

    Definition 1.4. Suppose Φ denotes the class of all functions, φ:II such that φ is continuous, decreasing and φ(w)=0 if and only if w=1.

    In this section, we start with the following theorem.

    Theorem 2.1. Let C and D be nonempty closed subsets of a complete N-AFMS (Z,F,). Suppose that C0(υ) is nonempty for every υ>0 and T:CD a nonself-mapping that satisfies:

    (ⅰ) T(C0(υ))D0(υ) for all υ>0,

    (ⅱ) There is a function φ in Φ for which

    F(α,Tμ,υ)=F(C,D,υ)F(β,Tλ,υ)=F(C,D,υ)}impliesφ(F(α,β,υ))ω(υ)Aφ(μ,λ,υ) (2.1)

    holds for all α,β,λ,μC, and υ>0, where ω:(0,)(0,1) is a function and

    Aφ(μ,λ,υ)=max{φ(F(μ,λ,υ)),φ(F(μ,α,υ)),φ(F(λ,α,υ)),φ(F(λ,β,υ))},

    (ⅲ) For any sequence {λn} in D0(υ) and μC satisfying F(μ,λn,υ)F(C,D,υ) as n, one has μC0(υ).

    Then there exists a unique μC such that

    F(μ,Tμ,υ)=F(C,D,υ)

    for every υ>0.

    Proof. Pick an arbitrary point μ0C0(υ). As T(C0(υ))D0(υ), so there is a μ1C0(υ) such that

    F(μ1,Tμ0,υ)=F(C,D,υ).

    Recursively, we obtain a sequence {μn} in C0(υ) satisfying

    {F(μn,Tμn1,υ)=F(C,D,υ),F(μn+1,Tμn,υ)=F(C,D,υ) (2.2)

    for all nN, and υ>0. Clearly, if for some n0N, μn0+1=μn0, then from (2.2), μn0 becomes a BPP of T. Hence, we assume μn+1μn for all nN. Define ϰn(υ)=F(μn,μn+1,υ) for all nN{0} and all υ>0. From (2.1), we get

    φ(ϰn(υ))=φ(F(μn,μn+1,υ))ω(υ)Aφ(μn1,μn,υ), (2.3)

    where

    Aφ(μn1,μn,υ)=max{φ(F(μn1,μn,υ)),φ(F(μn1,μn,υ)),φ(F(μn,μn,υ)),φ(F(μn,μn+1,υ))}=max{φ(F(μn1,μn,υ)),φ(1),φ(F(μn,μn+1,υ))}=max{φ(F(μn1,μn,υ)),φ(F(μn,μn+1,υ))}.

    If

    max{φ(F(μn1,μn,υ)),φ(F(μn,μn+1,υ))}=φ(F(μn,μn+1,υ)),

    then

    φ(ϰn(υ))ω(υ)φ(ϰn(υ))<φ(ϰn(υ)),

    a contradiction as 0<ω(υ)<1. Hence,

    φ(ϰn(υ))ω(υ)φ(ϰn1)<φ(ϰn1(υ)).

    This implies that ϰn(υ) is an increasing sequence that is bounded above by 1. Let limnϰn(υ)=ϰ(υ). Now, we claim that ϰ(υ)=1 for all υ>0. On the contrary, if 0<ϰ(υ0)<1 for some υ0>0, then

    φ(ϰ(υ0))=limnφ(ϰn(υ0))ω(υ0)limnφ(ϰn1(υ0))ω(υ0)φ(ϰ(υ0))<φ(ϰ(υ0))

    a contradiction. Hence,

    limnϰn(υ)=1 (2.4)

    for all υ>0. If {μn} is not a Cauchy sequence, then there is an ϵ(0,1) and υ0>0 such that for every kN, there are nk,mkN with mk>nkk and

    F(μmk,μnk,υ0)1ϵ. (2.5)

    Let mk be the least integer greater than nk satisfying (2.5), that is,

    F(μmk1,μnk,υ0)>1ϵ,

    which implies

    1ϵF(μmk,μnk,υ0)F(μmk1,μmk,υ0)F(μmk1,μnk,υ0)>ϰmk1(υ0)(1ϵ).

    Consequently, we get

    limkF(μmk,μnk,υ0)=1ϵ. (2.6)

    Further

    F(μmk+1,μnk+1,υ0)F(μmk+1,μmk,υ0)F(μmk,μnk,υ0)F(μnk,μnk+1,υ0).

    On taking limit as k, we get

    limkF(μmk+1,μnk+1,υ0)1ϵ. (2.7)

    Now, from (2.4) and (2.6) we get

    F(μmk,μnk,υ0)F(μmk,μmk+1,υ0)F(μmk+1,μnk+1,υ0)F(μnk+1,μnk,υ0),

    which implies

    limkF(μmk+1,μnk+1,υ0)=1ϵ.

    Further

    F(μmk,μnk+1,υ0)F(μmk,μmk+1,υ0)F(μmk+1,μnk+1,υ0)

    implies

    limkF(μmk,μnk+1,υ0)1ϵ.

    Similarly,

    limkF(μnk,μmk+1,υ0)1ϵ.

    Now,

    {F(μmk+1,Tμmk,,υ0)=F(C,D,υ0),F(μnk+1,Tμnk,υ0)=F(C,D,υ0)

    implies

    φ(F(μmk+1,μnk+1,υ0))ω(υ0)Aφ(μmk,μnk,υ0)ω(υ0)max{φ(F(μmk,μnk,υ0)),φ(F(μmk,μmk+1,υ0)),φ(F(μnk,μmk+1,υ0)),φ(F(μnk,μnk+1,υ0))}.

    As k tends to in above, we get

    φ(1ϵ)ω(υ0)max{φ(1ϵ),φ(1),φ(1ϵ),φ(1)}=ω(υ0)φ(1ϵ).

    If φ(1ϵ)=0, then ϵ=0, a contradiction. If φ(1ϵ)>0, then

    φ(1ϵ)ω(υ0)φ(1ϵ)<φ(1ϵ),

    a contradiction, as 0<ω(υ0)<1. Hence, {μn} is a Cauchy sequence. The completeness of (Z,F,) implies {μn} converges to some μZ, that is,

    limnF(μn,μ,υ)=1 forall υ>0. (2.8)

    Moreover

    F(C,D,υ)=F(μn+1,Tμn,υ)F(μn+1,μ,υ)F(μ,Tμn,υ)F(μn+1,μ,υ)F(μ,μn+1,υ)F(μn+1,Tμn,υ)=F(μn+1,μ,υ)F(μ,μn+1,υ)F(C,D,υ).

    By taking the limit as n tends to , we get

    F(C,D,υ)=limnF(μ,Tμn,υ)limnF(μn+1,μ,υ)limnF(μ,μn+1,υ)F(C,D,υ)=F(C,D,υ)

    implies

    limnF(μ,Tμn,υ)=F(C,D,υ). (2.9)

    Now, we show that T has a BPP. Note that (iii) and (2.8) implies μC0(υ) and hence TμT(C0(υ)). As T(C0(υ))D0(υ) ensures that there is a ξC0(υ) for which

    F(ξ,Tμ,υ)=F(C,D,υ). (2.10)

    We claim that ξ=μ. On the contrary, assume that ξμ. By (2.1), (2.2) and (2.10), we obtain

    φ(F(ξ,μn+1,υ))ω(υ)Aφ(μn,μ,υ)ω(υ)max{φ(F(μn,μ,υ)),φ(F(μ,ξ,υ)),φ(F(μn,ξ,υ)),φ(F(μn,μn+1,υ))}.

    Upon taking limit as n tends to in above, we get

    φ(F(ξ,μ,υ))ω(υ)max{φ(F(μ,μ,υ)),φ(F(μ,ξ,υ)),φ(1)}=ω(υ)φ(F(μ,ξ,υ))<φ(F(μ,ξ,υ)),

    a contradiction, as 0<ω(υ)<1. Hence, ξ=μ and consequently

    F(μ,Tμ,υ)=F(C,D,υ),

    that is, μ is the BPP of T. If r is another BPP of T such that rμ, then 0<F(μ,r,υ)<1 for all υ>0 and

    F(μ,Tμ,υ)=F(C,D,υ)andF(r,Tr,υ)=F(C,D,υ).

    Then we have

    φ(F(μ,r,υ))ω(υ)Aφ(μ,r,υ)ω(υ)max{φ(F(μ,r,υ)),φ(F(μ,μ,υ)),φ(F(r,μ,υ)),φ(F(r,r,υ))}=ω(υ)φ(F(μ,r,υ))<φ(F(μ,r,υ))

    a contradiction. Hence, the BPP of T is unique.

    If we consider C0(υ) a nonempty and closed set, then we can relax some conditions in Theorem 2.1 as follows.

    Theorem 2.2. Let C and D be nonempty subsets of a complete N-AFMS (Z,F,). Suppose that C0(υ) is a closed subset of (Z,F,) for every υ>0 and T:CD a nonself-mapping satisfying the following:

    (ⅰ) T(C0(υ))D0(υ) for all υ>0,

    (ⅱ) There exists φΦ for which

    F(α,Tμ,υ)=F(C,D,υ)F(β,Tλ,υ)=F(C,D,υ)}impliesφ(F(α,β,υ))ω(υ)Aφ(μ,λ,υ), (2.11)

    holds for all α,β,λ,μC and υ>0, where ω:(0,)(0,1) a function and

    Aφ(μ,λ,υ)=max{φ(F(μ,λ,υ)),φ(F(μ,α,υ)),φ(F(λ,α,υ)),φ(F(λ,β,υ))}.

    Then there is a unique μC for which F(μ,Tμ,υ)=F(C,D,υ) for all υ>0.

    Proof. Construct a Cauchy sequence {μn} in C0(υ) same as in the proof of Theorem 2.1. As C0(υ) is a closed so the completeness of (Z,F,) ensures that the sequence {μn} is convergent to some μ in C0(υ). The remaining part of the proof is same as the proof of Theorem 2.1.

    In the next theorem, we use the different contraction condition in comparison with the above results.

    Theorem 2.3. Let C and D be nonempty closed subsets of a complete N-AFMS (Z,F,). Suppose that C0(υ) is nonempty for every υ>0 and T:CD a nonself-mapping satisfying the following:

    (ⅰ) T(C0(υ))D0(υ) for all υ>0,

    (ⅱ) There is a continuous function ρ:II, with ρ(s)>0 for every s(0,1], for which

    F(α,Tμ,υ)=F(C,D,υ)F(β,Tλ,υ)=F(C,D,υ)}impliesF(α,β,υ)B(μ,λ,υ)+Aρ(μ,λ,υ), (2.12)

    holds for all α,β,λ,μC and υ>0, where

    Aρ(μ,λ,υ)=min{ρ(F(μ,λ,υ)),ρ(F(μ,α,υ))ρ(F(λ,α,υ)),ρ(F(λ,β,υ))},B(μ,λ,υ)=min{F(μ,λ,υ),F(λ,α,υ)}.

    (ⅲ) For any sequence {λn} in D0(υ) and μC satisfying F(μ,λn,υ)F(C,D,υ) as n, one has μC0(υ).

    Then there is a unique μC for which F(μ,Tμ,υ)=F(C,D,υ) for all υ>0.

    Proof. As C0(υ) is nonempty for every υ>0, so we pick a μ0 in C0(υ). Since Tμ0T(C0(υ))D0(υ), we can find μ1C0(υ) such that

    F(μ1,Tμ0,υ)=F(C,D,υ).

    Recursively, we obtain a sequence {μn} in C0(υ) satisfying

    F(μn,Tμn1,υ)=F(C,D,υ)andF(μn+1,Tμn,υ)=F(C,D,υ) (2.13)

    for all nN, υ>0. From (2.12) and (2.13), we obtain

    F(μn,μn+1,υ)B(μn1,μn,υ)+Aρ(μn1,μn,υ)min{F(μn1,μn,υ),F(μn,μn,υ)}+min{ρ(F(μn1,μn,υ)),ρ(F(μn1,μn,υ)),ρ(F(μn,μn,υ)),ρ(F(μn,μn+1,υ))}=F(μn1,μn,υ)+min{ρ(F(μn1,μn,υ)),ρ(F(μn,μn+1,υ))} (2.14)

    which implies

    F(μn,μn+1,υ)F(μn1,μn,υ)

    that is, {F(μn+1,Tμn,υ)} is an increasing sequence in (0,1] which is bounded above by 1. So, there is j(υ)(0,1] for which

    limnF(μn,μn+1,υ)=j(υ)

    for all υ>0. We claim that j(υ)=1 for all υ>0. On contrary, assume that there is υ0>0 for which 0<j(υ0)<1. Taking the limit as n tends to in (2.14) implies

    j(υ0)j(υ0)+min{ρ(j(υ0)),ρ(1)}.

    If min{ρ(j(υ0)),ρ(1)}=ρ(j(υ0)), then we get j(υ0)j(υ0)+ρ(j(υ0)) implies that ρ(j(υ0))=0, which is a contradiction. If min{ρ(j(υ0)),ρ(1)}=ρ(1), then we get j(υ0)j(υ0)+ρ(1) implies that ρ(1)=0, which is a contradiction. This shows that j(υ)=1 for all υ>0. Next we show that {μn} is a Cauchy sequence. If we suppose on contrary that {μn} is not a Cauchy sequence, then there is an ϵ(0,1) and υ0>0, so that for all kN, there are nk,mkN with mk>nkk and

    F(μmk,μnk,υ0)1ϵ. (2.15)

    Let mk be the least integer greater than nk satisfying (2.15), that is,

    F(μmk1,μnk,υ0)>1ϵ.

    On similar lines as in the proof of Theorem 2.1, we get

    limkF(μmk,μnk,υ0)=1ϵ,limkF(μmk+1,μnk+1,υ0)=1ϵ,limkF(μmk,μnk+1,υ0)1ϵandlimkF(μnk,μmk+1,υ0)1ϵ.

    From (2.13) we get

    F(μmk+1,Tμmk,υ0)=F(C,D,υ0)andF(μnk+1,Tμnk,υ0)=F(C,D,υ0).

    Hence, (2.12) implies

    F(μmk+1,μnk+1,υ0)B(μmk,μnk,υ0)+Aρ(μmk,μnk,υ0)min{F(μmk,μnk,υ0),F(μnk,μmk+1,υ0)}+min{ρ(F(μmk,μnk,υ0)),ρ(F(μmk,μmk+1,υ0)),ρ(F(μnk,μmk+1,υ0)),ρ(F(μnk,μnk+1,υ0))}.

    As k tends to in above, we get

    1ϵ(1ϵ)+min{ρ(1ϵ),ρ(1)}.

    That is

    1ϵ1ϵ+min{ρ(1ϵ),ρ(1)}.

    Consequently,

    0min{ρ(1ϵ),ρ(1)}.

    Hence, either ρ(1ϵ)=0 or ρ(1)=0, a contradiction in both cases. This implies that {μn} is a Cauchy sequence. The completeness of (Z,F,) implies {μn} converges to some μ in Z. That is,

    limnF(μn,μ,υ)=1forallυ>0. (2.16)

    Now, we show that T has a BPP. On the similar lines as in Theorem 2.1, we get μC0(υ). As T(C0(υ))D0(υ) for all υ>0 ensures that there is ξC0(υ) such that

    F(ξ,Tμ,υ)=F(C,D,υ). (2.17)

    We claim that ξ=μ. On the contrary, assume that ξμ. So from (2.13) and (2.17) we get

    F(μn+1,ξ,υ)B(μn,μ,υ)+Aρ(μn,μ,υ)

    which implies

    F(μn+1,ξ,υ)min{F(μn,μ,υ),F(μ,μn+1,υ)}+min{ρ(F(μn,μ,υ)),ρ(F(μn,μn+1,υ)),ρ(F(μ,μn+1,υ)),ρ(F(μ,ξ,υ))}.

    Passing to the limit as n in the above inequality, we get

    F(μ,ξ,υ)1+min{ρ(1),ρ(F(μ,ξ,υ))},

    so 1F(μ,ξ,υ)1, which implies F(μ,ξ,υ)=1, for all υ>0, that is μ=ξ and F(μ,Tμ,υ)=F(C,D,υ). To show the uniqueness of μ which is the BPP of T, let r be another BPP of T such that rμ, that is, 0<F(μ,r,υ)<1 for all υ>0. As

    F(μ,Tμ,υ)=F(C,D,υ)andF(r,Tr,υ)=F(C,D,υ),

    so from (2.12), we have

    F(μ,r,υ)B(μ,r,υ)+Aρ(μ,r,υ)min{F(μ,r,υ),F(r,μ,υ)}+min{ρ(F(μ,r,υ)),ρ(F(μ,μ,υ)),ρ(F(r,μ,υ)),ρ(F(r,r,υ))}=F(μ,r,υ)+ρ(1).

    Hence,

    F(μ,r,υ)F(μ,r,υ)+min{ρ(F(μ,r,υ)),ρ(1)},

    which implies ρ(F(μ,r,υ))=0 or ρ(1)=0, which is a contradiction in both cases as ρ(s)>0 for all s(0,1]. Therefore, F(μ,r,υ)=1 for every υ>0 and so μ=r.

    In the next Theorem, we use another contraction condition involving a function ζ:I[1,).

    Theorem 2.4. Let C and D be nonempty closed subsets of a complete N-AFMS (Z,F,). Suppose that C0(υ) is nonempty for all υ>0 and T:CD a nonself-mapping satisfying the following:

    (ⅰ) T(C0(υ))D0(υ) for all υ>0,

    (ⅱ) There is a function ζ:I[1,) such that for any sequence {sn}I of positive real numbers, ζ(sn)1 as n+ implies sn1 as n+ and

    F(α,Tμ,υ)=F(C,D,υ)F(β,Tλ,υ)=F(C,D,υ)}impliesF(α,β,υ)ζ(F(μ,λ,υ))B(μ,λ,υ), (2.18)

    holds for all α,β,λ,μC and υ>0, where

    B(μ,λ,υ)=min{F(μ,λ,υ),F(λ,α,υ)},

    (ⅲ) For any sequence {λn} in D0(υ) and μC satisfying F(μ,λn,υ)F(C,D,υ) as n, one has μC0(υ).

    Then there is a unique μC such that

    F(μ,Tμ,υ)=F(C,D,υ)

    for every υ>0.

    Proof. As C0(υ) is nonempty for every υ>0, so we pick a μ0 in C0(υ). Since Tμ0T(C0(υ))D0(υ), we can find μ1C0(υ) such that

    F(μ1,Tμ0,υ)=F(C,D,υ).

    Recursively, we obtain a sequence {μn} in C0(υ) satisfying

    F(μn,Tμn1,υ)=F(C,D,υ),F(μn+1,Tμn,υ)=F(C,D,υ). (2.19)

    Using (2.18) and (2.19) we get

    F(μn,μn+1,υ)ζ(F(μn1,μn,υ))B(μn1,μn,υ)=ζ(F(μn1,μn,υ))min{F(μn1,μn,υ),F(μn,μn,υ)}=ζ(F(μn1,μn,υ))F(μn1,μn,υ), (2.20)

    which implies

    F(μn,μn+1,υ)F(μn1,μn,υ).

    Hence, {F(μn+1,Tμn,υ)} is an increasing sequence in (0,1], which is bounded above by 1. This implies that there is j(υ)(0,1] such that

    limnF(μn,μn+1,υ)=j(υ)

    for all υ>0. We claim that j(υ)=1 for all υ>0. On the contrary, assume that there is υ0>0 such that 0<j(υ0)<1. Taking the limit as n, in (2.20) we get

    limnF(μn,μn+1,υ0)limnζ(F(μn1,μn,υ0))limnF(μn1,μn,υ0),

    which implies

    1=limnF(μn,μn+1,υ0)limnF(μn1,μn,υ0)limnζ(F(μn1,μn,υ0)1.

    That is,

    limnζ(F(μn1,μn,υ0)=1implieslimnF(μn1,μn,υ0)=1.

    Hence, j(υ)=1. Now, we prove that {μn} is a Cauchy sequence. Suppose on contrary {μn} is not a Cauchy sequence, that is, there is an ϵ(0,1) and υ0>0 such that for every kN, there are nk,mkN with mk>nkk and

    F(μmk,μnk,υ0)1ϵ. (2.21)

    Let mk be the least integer greater than nk satisfying (2.21), that is,

    F(μmk1,μnk,υ0)>1ϵ.

    On similar lines as in the proof of Theorem 2.1, we get

    limkF(μmk,μnk,υ0)=1ϵ,limkF(μmk+1,μnk+1,υ0)=1ϵ,limkF(μmk,μnk+1,υ0)1ϵandlimkF(μnk,μmk+1,υ0)1ϵ.

    From (2.19), we get

    F(μmk+1,Tμmk,υ0)=F(C,D,υ0)andF(μnk+1,Tμnk,υ0)=F(C,D,υ0).

    So, by applying (2.18), we get

    F(μmk+1,μnk+1,υ0)ζ(F(μmk,μnk,υ0))B(μmk,μnk,υ0)=ζ(F(μmk,μnk,υ0))min{F(μmk,μnk,υ0),F(μnk,μmk+1,υ0)}. (2.22)

    If

    min{F(μmk,μnk,υ0),F(μnk,μmk+1,υ0)}=F(μmk,μnk,υ0),

    then from (2.22),

    F(μmk+1,μnk+1,υ0)ζ(F(μmk,μnk,υ0))F(μmk,μnk,υ0),

    which implies

    F(μmk+1,μnk+1,υ0)F(μmk,μnk,υ0)ζ(F(μmk,μnk,υ0))1

    and taking limit as k, above inequality gives

    limkζ(F(μmk,μnk,υ0))=1,

    which implies

    limkF(μmk,μnk,υ0)=1.

    So, ϵ=0, a contradiction. If

    min{F(μmk,μnk,υ0),F(μnk,μmk+1,υ0)}=F(μnk,μmk+1,υ0),

    then from (2.22),

    F(μmk+1,μnk+1,υ0)ζ(F(μmk,μnk,υ0))F(μnk,μmk+1,υ0),

    which implies

    1=1ϵ1ϵF(μmk+1,μnk+1,υ0)F(μnk,μmk+1,υ0)ζ(F(μmk,μnk,υ0))1, (2.23)

    which implies

    limkζ(F(μmk,μnk,υ0))=1and
    limkF(μmk,μnk,υ0))=1.

    So, ϵ=0, a contradiction again. Thus, {μn} is a Cauchy sequence. As (Z,F,) is a complete N-AFMS, therefore the sequence {μn} converges to some μZ, that is, limnF(μn,μ,υ)=1 for all υ>0. Since T(C0(υ))D0(υ) for all υ>0, so there is ξC0(υ) such that

    F(ξ,Tμ,υ)=F(C,D,υ).

    So, by (2.18) it is evident that

    F(μn+1,ξ,υ)ζ(F(μn,μ,υ))B(μn,μ,υ)=ζ(F(μn,μ,υ))min{F(μn,μ,υ),F(μ,μn+1,υ)}. (2.24)

    If

    min{F(μn,μ,υ),F(μ,μn+1,υ)}=F(μn,μ,υ),

    then from (2.24),

    F(μn+1,ξ,υ)ζ(F(μn,μ,υ))F(μn,μ,υ)F(μn,μ,υ)

    and applying the limit to the above inequality as n, we have F(μ,ξ,υ)=1 for all υ>0, that is, μ=ξ and F(μ,Tμ,υ)=F(C,D,υ). If

    min{F(μn,μ,υ),F(μ,μn+1,υ)}=F(μ,μn+1,υ),

    then from (2.24),

    F(μn+1,ξ,υ)ζ(F(μn,μ,υ))F(μ,μn+1,υ)F(μ,μn+1,υ)

    and applying the limit to the above inequality as n we have F(μ,ξ,υ)=1 for all υ>0, that is, μ=ξ and F(μ,Tμ,υ)=F(C,D,υ). Now, we show that μ is the only BPP of T. If r is the another BPP of T, then

    F(μ,Tμ,υ)=F(C,D,υ)andF(r,Tr,υ)=F(C,D,υ).

    From (2.18) we get

    1=F(μ,r,υ0)F(μ,r,υ0)ζ(F(μ,r,υ0))1,

    which implies that F(μ,r,υ0)=1. Hence, μ=r.

    Now, we present an example to illustrate Theorem 2.1.

    Example 2.5. Let Z={1,2,3,,10}, C={1,3,5,7}, D={2,4,6,8} and F:Z×Z×(0,)(0,1] be a N-AFMS which is defined by

    F(μ,λ,υ)={μλ,ifμλλμ,ifλ<μ

    for all υ>0. Note that (Z,F,) is complete with μλ=μλ, F(C,D,υ)=78 and C and D are nonempty closed subsets of Z. Define T:CD as

    T(x)={8,ifx=7x+7otherwise.

    Since

    F(α,Tμ,υ)=F(C,D,υ)=78

    implies (α,μ)=(7,7) or (α,μ)=(7,1), therefore

    F(7,T7,υ)=F(7,8,υ)=78=F(C,D,υ)andF(7,T1,υ)=F(7,8,υ)=78=F(C,D,υ)

    for all υ>0. Also, note that

    C0(υ)={7},D0(υ)={8}andT(C0(υ))={7}D0(υ)={8}.

    Now, consider the function φΦ defined by

    φ(r)=1rforallr[0,1].

    From (2.1), we have

    F(α,β,υ)=F(7,7,υ)=1whichimpliesφ(F(α,β,υ))=11=0

    which shows that

    φ(F(α,β,υ))ω(υ)Aφ(μ,λ,υ)

    holds for all α,β,λ,μC and for every υ>0 and ω(υ)(0,1). For any sequence {λn} in D0(υ) and μ in C, F(μ,λn,υ)F(A,B,υ) as n+, we have λn=8 for all n and μ=7C0(υ). Thus, all the conditions of Theorem 2.1 are satisfied, and so there exists a unique μC such that F(μ,Tμ,t)=F(C,D,υ) for all υ >0. Here, μ=7.

    Remark 2.6. Theorems 2.1, 2.2 and 2.4 are generalizations of [33,Theorems 1,2 and 4]. Theorem 2.3 is a partial generalization of [33,Theorem 3] as we considered ρ(s)>0 for every s(0,1] instead of for every s(0,1) in order to use more general contraction condition.

    Now, we give some important corollaries of the main results.

    Corollary 2.7. [33,Theorem 1] Let C and D be nonempty closed subsets of a complete N-AFMS (Z,F,). Suppose that C0(υ) is nonempty for every υ>0 and T:CD a nonself-mapping that satisfies:

    (i) T(C0(υ))D0(υ) for all υ>0,

    (ii) There is a function φ in Φ for which

    F(α,Tμ,υ)=F(C,D,υ)F(β,Tλ,υ)=F(C,D,υ)}impliesφ(F(α,β,υ))ω(υ)φ(F(μ,λ,υ))

    holds for all α,β,λ,μC, and υ>0, where ω:(0,)(0,1) is a function and

    (iii) For any sequence {λn} in D0(υ) and μC satisfying F(μ,λn,υ)F(C,D,υ) as n, one has μC0(υ).

    Then there exists a unique μC such that

    F(μ,Tμ,υ)=F(C,D,υ)

    for every υ>0.

    Proof. Consider Aφ(μ,λ,υ)=φ(F(μ,λ,υ)) in Theorem 2.1.

    Corollary 2.8. [33,Theorem 2] Let C and D be nonempty subsets of a complete N-AFMS (Z,F,). Suppose that C0(υ) is a closed subset of (Z,F,) for every υ>0 and T:CD a nonself-mapping satisfying the following:

    (i) T(C0(υ))D0(υ) for all υ>0,

    (ii) There exists φΦ for which

    F(α,Tμ,υ)=F(C,D,υ)F(β,Tλ,υ)=F(C,D,υ)}impliesφ(F(α,β,υ))ω(υ)φ(F(μ,λ,υ))

    holds for all α,β,λ,μC and υ>0, where ω:(0,)(0,1) a function.

    Then there is a unique μC for which F(μ,Tμ,υ)=F(C,D,υ) for all υ>0.

    Proof. Consider Aφ(μ,λ,υ)=φ(F(μ,λ,υ)) in Theorem 2.2.

    Corollary 2.9. [33,Theorem 3] Let C and D be nonempty closed subsets of a complete N-AFMS (Z,F,). Suppose that C0(υ) is a nonempty for every υ>0 and T:CD a nonself-mapping satisfying the following:

    (i) T(C0(υ))D0(υ) for all υ>0,

    (ii) There is a continuous function ρ:II, with ρ(s)>0 for every s(0,1], for which

    F(α,Tμ,υ)=F(C,D,υ)F(β,Tλ,υ)=F(C,D,υ)}impliesF(α,β,υ)F(μ,λ,υ)+ρ(F(μ,λ,υ))

    holds for all α,β,λ,μC and υ>0,

    (iii) For any sequence {λn} in D0(υ) and μC satisfying F(μ,λn,υ)F(C,D,υ) as n, one has μC0(υ).

    Then there is a unique μC for which F(μ,Tμ,υ)=F(C,D,υ) for all υ>0.

    Proof. Consider Aρ(μ,λ,υ)=ρ(F(μ,λ,υ)) and B(μ,λ,υ)=F(μ,λ,υ) in Theorem 2.3.

    Corollary 2.10. [33,Theorem 4] Let C and D be nonempty closed subsets of a complete N-AFMS (Z,F,). Suppose that C0(υ) is a nonempty for all υ>0 and T:CD a nonself-mapping satisfying the following:

    (i) T(C0(υ))D0(υ) for all υ>0,

    (ii) There is a function ζ:I[1,) such that for any sequence {sn}I of positive real numbers, ζ(sn)1 as n+ implies sn1 as n+ and

    F(α,Tμ,υ)=F(C,D,υ)F(β,Tλ,υ)=F(C,D,υ)}impliesF(α,β,υ)ζ(F(μ,λ,υ))F(μ,λ,υ)

    holds for all α,β,λ,μC and υ>0,

    (iii) For any sequence {λn} in D0(υ) and μC satisfying F(μ,λn,υ)F(C,D,υ) as n, one has μC0(υ).

    Then there is a unique μC such that

    F(μ,Tμ,υ)=F(C,D,υ)

    for every υ>0.

    Proof. Consider B(μ,λ,υ)=F(μ,λ,υ) in Theorem 2.4.

    The following corollaries are the fixed point version of Theorem 2.4 and will be used in the sequel.

    Corollary 2.11. Let (Z,F,) be a complete N-AFMS and T:ZZ a self-mapping satisfying

    F(Tμ,Tλ,υ)ζ(F(μ,λ,υ))B(μ,λ,υ)

    for all μ,λZ and all υ>0, where

    B(μ,λ,υ)=min{F(μ,λ,υ),F(λ,Tμ,υ)}

    and ζ:I[1,) a function such that for any sequence {sn}I of positive real numbers, ζ(sn)1 as n+ implies sn1 as n+. Then there is a unique λC such that λ=Tλ.

    Proof. Put C=D=Z in Theorem 2.4.

    If B(μ,λ,υ)=F(μ,λ,υ) in the corollary 2.11, then we get the following result.

    Corollary 2.12. Let (Z,F,) be a complete N-AFMS and T:ZZ a self-mapping satisfying

    F(Tμ,Tλ,υ)ζ(F(μ,λ,υ))F(μ,λ,υ)

    for all μ,λZ and all υ>0, where ζ:I[1,) is a function such that for any sequence {sn}I of positive real numbers, ζ(sn)1 as n+ implies sn1 as n+. Then there is a unique λC such that λ=Tλ.

    Let a nonempty set of alphabets be denoted by Σ and the set of all finite and infinite words over Σ denoted by Σ. Note that Σ contains the empty sequence (word) which is denoted by ϕ. Let the prefix order on Σ be denoted by and defined as

    ab if and only if a is prefix of b.

    For every nonempty (word) a Σ, the length of a is Ω(a) [1,] and Ω(ϕ)=0. Further, if aΣ is finite, then n< and we write

    a=a1a2,...,an,

    otherwise we write

    a=a1a2,....

    Now, for a,bΣ, then the common prefix of a and b is represented by ab. It is to be noted that a=b if and only if ab and ba and Ω(a)=Ω(b). Define S:Σ×Σ[0,) by

    S(a,b)={0, iff a=b2Ω(a), iff ab2Ω(b), iff ba2Ω(ab), otherwise.

    If ab, then ab =a and if ba, then ba =b. Therefore, for all a,bΣ, we can write

    S(a,b)={0, iff a=b2Ω(ab), otherwise.

    Then S is a Baire metric [30] which is a complete metric on Σ. Assign a fuzzy metric on Σ by

    FS(a,b,υ)=eS(a,b)υ.

    Then (Σ,F,) represents a complete N-AFMS, where the t-norm is ab=ab. The Quicksort algorithm gives the recurrence relation

    a1=0, for m=1,am=2(m1)m+m+1mam1, for m2.

    For more on Quicksort algorithm and its applications, we refer the reader to [9,16]. For Σ=[0,), in correspondence to the above sequence, we define the functional η:ΣΣ that assigns

    η(a):=η((a))1η((a))2,...

    to a:=a1a2,... and is defined by

    {η((a))1=0, for m=1,η((a))m=2(m1)m+m+1mam1, for m2.

    Note that

    Ω(η((a)))=Ω(a)+1

    for all aΣ and in particular

    Ω(η((a)))=,

    whenever Ω(a)=. By definition of η, we have

    abη(a)η(b)

    and this implies that

    η(ab)η(a)η(b)

    for all a,bΣ. Hence,

    Ω(η(ab))Ω(η(a)η(b))

    for all a,bΣ. We apply Corollary 2.12 and prove that the functional η has a fixed point. Let ζ:I[1,) be defined as ζ(t)=1 for all tI. Then there are two cases:

    Case1: If a=b, then

    FS(η(a),η(a),υ)=1=F(a,a,υ).

    Case2: If ab, then for all υ>0, we have

    Ω(η(a)η(b))Ω(η(ab)),

    that is,

    2Ω(η(a)η(b))υ2Ω(η(ab))υ,

    which further implies

    e2Ω(η(a)η(b))υe2Ω(η(ab))υ.

    Now,

    FS(η(a),η(b),υ)=e2Ω(η(a)η(b))υe2Ω(η(ab))υ=e2Ω(ab)1υ=e2Ω(ab).21υ=(e2Ω(ab)υ)21=e2Ω(ab)υe2Ω(ab)υe2Ω(ab)υ=ζ(F(a,b,υ))F(a,b,υ).

    Hence,

    FS(η(a),η(b),υ)ζ(F(μ,λ,υ))F(μ,λ,υ)

    for all μ,λZ and all υ>0. Thus, all conditions of Corollary 2.12 are satisfied and η has a fixed point ξ=ξ1ξ2..., which is the solution of the recurring relation for T. Hence, we obtain

    {ξ1=0,ξn=2(n1)n+n+1nan1, for n2.

    Remark 3.1. The prefix order on Σ defined as above is a partial order on Σ (domain of words) which is associated with the graph via the relation

    ab if and only if (a,b)E(G),

    where E(G) is the set of edges of G and the graph G=(V(G),E(G)) with V(G)=Σ. Domain of words problem can be considered in connection with the graphs as well to solve some problems related to networks.

    In this paper, we proved the existence of best proximity points for various different proximal quasi-contractive nonself-mappings of non-Archimedean fuzzy metric spaces. Moreover, we were able to present an example to illustrate the main result and an application in computer science, particularly in the domain of words as well. As fuzzy quasi metric spaces are linked in a very natural way with applications in computer sciences (see [30]), so the results in this paper can be investigated in connection with fuzzy quasi metric spaces with some applications.

    The authors declare that they do not have any conflict of interests regarding this paper.



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