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On a class of fixed points for set contractions on partial metric spaces with a digraph

  • We investigate the existence of fixed point problems on a partial metric space. The results obtained are for set contractions in the domain of sets and the pattern for the partial metric space is constructed on a directed graph. Essentially, our main strategy is to employ generalized ϕ-contractions in order to prove our results, where the fixed points are investigated with a graph structure. Moreover, we state and prove the well-posedness of fixed point based problems of the generalized ϕ-contractive operator in the framework of a partial metric space. We illustrate the main results in this manuscript by providing several examples.

    Citation: Talat Nazir, Zakaria Ali, Shahin Nosrat Jogan, Manuel de la Sen. On a class of fixed points for set contractions on partial metric spaces with a digraph[J]. AIMS Mathematics, 2023, 8(1): 1304-1328. doi: 10.3934/math.2023065

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  • We investigate the existence of fixed point problems on a partial metric space. The results obtained are for set contractions in the domain of sets and the pattern for the partial metric space is constructed on a directed graph. Essentially, our main strategy is to employ generalized ϕ-contractions in order to prove our results, where the fixed points are investigated with a graph structure. Moreover, we state and prove the well-posedness of fixed point based problems of the generalized ϕ-contractive operator in the framework of a partial metric space. We illustrate the main results in this manuscript by providing several examples.



    Fixed point theory is a powerful tool for solving a variety of mathematical problems with various types of applications [18,31]. The study of fixed points of metric spaces equipped with a graph structure occupies a prominent role in many aspects. Initially, the existence of fixed points in ordered metric spaces was studied by Ran and Reurings [25]. Many researchers have obtained fixed-point results for single-valued and set-valued mappings defined on partially ordered metrics spaces (see[4,13,17,20,21,22,23,24,28]). Jachymski and Jozwik [15] introduced a new approach in metric fixed-point theory by replacing the order structure with a graph structure on a metric space. Abbas et al. [2] obtained some fixed point of multivalued contraction mappings on metric spaces with a directed graph. Several useful fixed-point results for single-valued and multivalued mappings appear in [5,11,12,14].

    Matthews [19] introduced the concept of a partial metric as a part of the study of denotational semantics of dataflow networks. He gave a modified version of the Banach contraction principle, which is more suitable in the aforementioned context (see also [26,27,29,30]).

    Abbas et al. [1,3] established the existence of fixed-point results for set-contractions in the setup of a metric space and partial metric space, respectively, with a graph structure. Recently, Latif et al. [16] established some fixed point results for a class of set-contraction mappings endowed with a digraph structure.

    In this paper, we prove fixed-point results for set-valued maps based on the family of closed and bounded subsets of a partial metric space endowed with a graph structure while satisfying generalzied graph ϕ-contractive conditions. It is worth emphasizing that we do not rely on the imposed strong conditions used to obtain the results in [1]. To reiterate, our main components in the proofs are relying on the Pompeiu-Hausdorff partial metric Hp, the generalized graph contraction T and the generalized rational graph contraction S. These results extend and strengthen various known results in [1,6,7,8,9,10,11,21,32].

    Here, we use X to represent the Cartesian product X×X that we will use in the following definitions and in the sequel.

    Definition 1.1. [19] Given a non-empty set X, a partial metric is a function p:X[0,+) satisfying, for every element η1,η2,η3X the following conditions:

    (i) p(η1,η1)=p(η2,η2)=p(η1,η2)η1=η2;

    (ii) p(η1,η1)p(η1,η2);

    (iii) p(η1,η2)=p(η2,η1);

    (iv) p(η1,η3)p(η1,η2)+p(η2,η3)p(η2,η2).

    The pair (X,p) is then called a partial metric space.

    Notice that, p(η1,η2)=0, then by (ii), we have: η1=η2. The converse is not always true.

    An example is the pair (R2,p), where the partial metric is defined by

    p(μ,η)=max{μ21+μ22,η21+η22},

    where μ=(μ1,μ2) and η=(η1,η2).

    Definition 1.2. [19,30] Let (X,p) be a partial metric space and {ηn}n1 a sequence in X. We say that

    (i) {ηn}n1 converges to an element ηX w.r.t. the topology τp if and only if limnp(η,ηn)=p(η,η);

    (ii) {ηn}X is a Cauchy sequence if limn,mp(ηn,ηm) exists and is finite;

    (iii) the set X is a complete set if every Cauchy sequence {ηn}X converges to a point ηX such that limn,mp(ηn,ηm)=p(η,η).

    We are now ready to identify a partial metric space (X,p) with a graph structure. Let G=(V(G),E(G)) be a directed graph, where the vertex set V(G)=X and the edge set E(G)X such that ΔE(G). Here, X represents the Cartesian product X×X and Δ denotes the diagonal of X. The graph is allowed to have loops, but no parallel edges are allowed between distinct pairs of vertices.

    Noting that, whenever u and v are two vertices of G, then a path in G from u to v of length kN is a finite sequence {ηn}kn=0 of vertices such that u=η0,v=ηk and (ηi1,ηi)E(G) for i=1,2,,k.

    Graph G is said to be connected if there is a directed path between any two vertices in G. Also, graph G is said to be weakly connected if ˜G is connected, where ˜G denotes the undirected graph obtained from G by ignoring the directions of edges. G1 called a conversion of G by reversing the direction of the edge set E(G). Namely,

    E(G1)={(η2,η1):(η1,η2)E(G)}.

    Here and in the sequel, we consider (X,p) to be a partial metric space unless specified. Denote CBp(X) as the set of closed and bounded subsets of X, with respect to the partial metric p. We refer the reader to the paper of Aydi et al. [9], where ample details of the terms closedness and boundedness are discussed in detail. Furthermore, they proved that, indeed, the mapping Hp:CBp×CBpR+ defined as

    Hp(χ1,χ2)=max{δp(χ1,χ2),δp(χ2,χ1)}

    is the analogue to the Pompeiu-Hausdorff metric induced by p. Here, δp(χ1,χ2)=sup{p(η1,χ2):η1χ1} with p(η,χ1)=inf{p(η,χ1):ηχ1}.

    If (X,p) is a complete partial metric space, then (CBp,Hp) is also complete Pompeiu-Hausdorff partial metric space.

    We consider the graph G as defined previously. Thus, we consider that the graph G is weighted; that is for each pair of edges (η1,η2) in E(G), the weight p(η1,η2) is assigned to be the value of the distance p at the edge (η1,η2). Note that, since p is a partial metric, we infer that the weight p(η1,η1) assigned to the loop (η1,η1) is not necessarily zero. Furthermore the partial Hausdorff weight that we assign to each element U,VCBp(X) need not vanish, i.e., it does not have to be zero. In particular, U=V whenever Hp(U,V)=0.

    Definition 1.3. [1,16] Let χ1 and χ2 be elements of CBp(X). We say that

    (i) the pair (χ1,χ2)E(G) forms an edge between χ1 and χ2, which means that there exists an edge for some vertices η1 and η2 with (η1,η2)χ1×χ2;

    (ii) there exists a path between χ1 and χ2 if there exists a path for some vertices η1 and η2 with (η1,η2)χ1×χ2.

    The relation R is defined as follows: We say that χ1 is in relation with χ2 (χ1Rχ2) if and only if there exists a path between the elements χ1 and χ2.

    Note that the reflexivity, symmetry and transitivity are defined in the usual manner.

    In order to study graph contraction mappings we consider the mapping: T:CBp(X)CBp(X), and introduce the set below

    XT={UCBp(X):(U,T(U))E(G)}.

    From now onward, we set e:=e(χ1χ2) to denote the edge that connects both nodes χ1 and χ2. Similarly, we use eT:e(T(χ1)T(χ2)) to denote the edge connecting T(χ1) to T(χ2). In a similar fashion, we also set eS:=e(S(χ1)S(χ2)). Denoting W:=(χ1,χ2) and WT:=(T(χ1),T(χ2),) as the path between χ1 and χ2 and the path connecting T(χ1) and T(χ2), respectively. Similarly, we define the path WS. With this notations in hand, we can now introduce the notions of both the generalized graph contraction and generalized rational graph contraction in the following two definitions.

    Definition 1.4. We say that a set-valued mapping T:CBp(X)CBp(X) is called a generalized graph ϕ- contraction whenever the following conditions hold:

    (i) eT is an edge that links T(χ1) to T(χ2) whenever e is the preceding edge that links χ1 and χ2.

    (ii) WT is a path from T(χ1) to T(χ2) whenever W is a path from χ1 to χ2.

    (iii) There exists a function ϕ:R+R+ such that ϕ is upper semicontinuous, monotonic and non-decreasing, and that ϕ(t)<t for every t>0, with r=0ϕr(t), is convergent; and, if e is an edge from χ1 to χ2, we infer that

    Hp(T(χ1),T(χ2))ϕ(Mp(χ1,χ2)), (1.1)

    where

    Mp(χ1,χ2)=max{Hp(χ1,χ2),Hp(χ1,T(χ1)),Hp(χ2,T(χ2)),Hp(χ1,T(χ2))+Hp(χ2,T(χ1))3}.

    Definition 1.5. Let S:CBp(X)CBp(X) be the set-valued mapping defined from CBp(X) into itself as above. We call S a generalized rational graph ϕ- contraction whenever the following conditions hold:

    (i) eS is an edge that links S(χ1) to S(χ2) whenever e is the preceding edge that links χ1 and χ2.

    (ii) WS is a path from S(χ1) to S(χ2) whenever W is a path from χ1 to χ2.

    (iii) There exists a function ϕ:R+R+ such that ϕ is upper semicontinuous, monotonic and non-decreasing, and that ϕ(t)<t for every t>0, with r=0ϕr(t), is convergent; and, if e is an edge from χ1 to χ2, we infer that

    Hp(S(χ1),S(χ2))ϕ(Np(χ1,χ2)), (1.2)

    where

    Np(χ1,χ2)=max{Hp(S2(χ1),S(χ1)),Hp(S2(χ1),χ2),Hp(S2(χ1),S(χ2)),Hp(χ2,S(χ2))[1+Hp(χ1,S(χ1))]1+Hp(χ1,χ2),Hp(χ2,S(χ1))[1+Hp(χ1,S(χ1))]1+Hp(χ1,χ2)}.

    Definition 1.6. Let T:CBp(X)CBp(X). A fixed point of T is a set χCBp(X) whenever T(χ)=χ. Then, the mapping T generates the set F(T)={χCBp(X):T(χ)=χ}, which denotes the collection of fixed points of T.

    A subset C of CB(X) is said to be complete if, for any set χ1,χ2C, there is an edge between χ1 and χ2.

    We say that a graph G has a property (P) if, for any converging sequence {Xn}n1CBp(X), that is, limnHp(Xn,χ)=Hp(χ,χ) for some χ in CBp(X), one has an edge between the two consecutive terms Xn and Xn+1; we can extract a subsequence {Xnk}kN from {Xn}, from which one deduces that there also exists an edge that connects Xnk and the limiting set χ to each other.

    We obtain analogous fixed-point results for set-valued self-maps on CBp(X) based on the partial metric p, and with some conditions on graph contraction.

    Theorem 2.1. Let (X,p) be a complete partial metric space equipped with a digraph G having both vertex and edge sets satisfying V(G)=X and ΔE(G), respectively. We assume that the map T:CBp(X)CBp(X) is a generalized graph ϕ-contraction. Then,

    (i) the partial Hausdorff weight associated with U,VF(T) is zero whenever the non-empty set F(T) is complete;

    (ii) if F(T), then XT. Furthermore, for any UF(T), one has Hp(U,U)=0;

    (iii) assume that ˜G has the property (P) and that XT. Then, the map T has a fixed point;

    (iv) F(T) is a complete set if and only if F(T) is reduced to a singleton set.

    Proof. (i) Let U,VF(T) and F(T) be complete; then, there is an edge between U and V, and a partial Hausdorff weight can be assigned to U and V. Now, suppose, by way of contradiction, that Hp(U,V)0. Since the map T is a graph ϕ-contraction map, we easily infer that

    0<Hp(U,V)=Hp(T(U),T(V))ϕ(Mp(U,V)), (2.1)

    where

    Mp(U,V)=max{Hp(U,V),Hp(U,T(U)),Hp(V,T(V)),Hp(U,T(V))+Hp(V,T(U))3}=max{Hp(U,V),Hp(U,U),Hp(V,V),Hp(U,V)+Hp(V,U)3}=Hp(U,V).

    Note that T(U)=U and T(V)=V, we have Hp(U,U)Hp(U,V), Hp(V,V)Hp(U,V) and Hp(U,U)+Hp(V,V)3Hp(U,V).

    Therefore,

    0<Hp(U,V)=Hp(T(U),T(V))ϕ(Mp(U,V))<Hp(U,V),

    which is a contradiction. Hence, the result follows.

    (ii) Let UF(T), which implies that T(U)=U. Now, since ΔE(G), we have that (u,u) is in E(G) for all uU. Hence, (U,U) is in E(G), so (U,T(U)), where UCBp(X). Therefore, XT.

    Furthermore, note that U is a fixed point of T; then, Hp(U,U)=0. Assume otherwise, that is, Hp(U,U)>0. Then, as T is a generalized graph ϕ-contraction, taking χ1=χ2=U in Eq (1.1), we have

    0<Hp(U,U)=Hp(T(U),T(U))ϕ(Mp(U,U)), (2.2)

    where

    Mp(U,U)=max{Hp(U,U),Hp(U,T(U)),Hp(U,T(U)),Hp(U,T(U))+Hp(U,T(U))3}=Hp(U,U).

    Therefore,

    0<Hp(U,U)=Hp(T(U),T(U))ϕ(Hp(U,U))<Hp(U,U),

    which is a contradiction. Hence, Hp(U,U)=0.

    (iii) We consider UXT. Then, since UCBp(X) and ˜G is weakly connected, it follows that CBp(X)[U]˜G=P(X), where P(X) is the non-empty power set on X. Since T is a self-map and the equivalence class satisfies the transitive property on CBp(X), we have T(U)[U]˜G.

    As such, by an argument, we have T(Ui)[U]˜G for each Ui[U]˜G. Since UXT, there is an edge between U and T(U). It follows that, since T is a graph ϕ-contraction, we have (Tn(U),Tn+1(U))E(˜G) for all nN.

    We now define a recursive iterative sequence, as follows:

    U=U0,T(U0)=U1,T2(U0)=T(U1)=U2,Tn(U0)=T(Un1)=Un.

    We assume that Un+1Un for all n{0,1,2,...}. In the case that Uk+1=Uk for some k, then T(Uk)=Uk+1=Uk, that is, Uk is the fixed point of T. Since ˜G is weakly connected, there exists a sequence {xi}ni=1 for x0=x and xn=y and (xi1,xi)E(˜G) for i=1,2,,n such that xiUi for i=1,2,,n. Owing to the graph ϕ-contraction T, we infer that

    Hp(Tn(U),Tn+1(U))=Hp(Un,Un+1)=Hp(T(Un1),T(Un))ϕ(Mp(Un1,Un)),

    where

    Mp(Un1,Un)=max{Hp(Un1,Un),Hp(Un1,T(Un1)),Hp(Un,T(Un)),Hp(Un1,T(Un))+Hp(Un,T(Un1))3}=max{Hp(Un1,Un),Hp(Un1,Un),Hp(Un,Un+1),Hp(Un1,Un+1)+Hp(Un,Un)3}max{Hp(Un1,Un),Hp(Un1,Un),Hp(Un,Un+1),Hp(Un1,Un)+Hp(Un,Un+1)infunUnp(un,un)+Hp(Un,Un)3}max{Hp(Un1,Un),Hp(Un,Un+1)}Mp(Un1,Un),

    that is

    Mp(Un1,Un)=max{Hp(Un1,Un),Hp(Un,Un+1)}.

    Now, if Mp(Un1,Un)=Hp(Un,Un+1), then clearly we have a contradiction, since

    Hp(Un,Un+1)ϕ(Hp(Un,Un+1))<Hp(Un,Un+1).

    Therefore, the only value Mp(Un1,Un) can yield is Hp(Un1,Un). It now follows that

    Hp(Tn(U),Tn+1(U))=Hp(Un,Un+1)=Hp(T(Un1),T(Un))ϕ(Hp(Un1,Un))=ϕ(Hp(T(Un2),T(Un1)))ϕ2(Hp(Un2,Un1))ϕn(Hp(U0,U1))=ϕn(Hp(U,T(U))).

    Now, for m,nN with m>n,

    Hp(Tn(U),Tm(U))Hp(Tn(U),Tn+1(U))+Hp(Tn+1(U),Tn+2(U))++Hp(Tm1(U),Tm(U))ϕn(Hp(U,T(U)))+ϕn+1(Hp(U,T(U)))++ϕm1(Hp(U,T(U)))=(ϕn+ϕn+1++ϕm1)(Hp(U,T(U)))r=0ϕr(Hp(U,T(U))).

    On taking the upper limit as n,m, this shows that {Tm(U)} is Cauchy; also, since, by assumption, (X,p) is a complete partial metric space, one finds a set U in CBp(X) such that limmHp(Tm(U),U)=Hp(U,U).

    Now bringing all of the above results together, it follows that we have {Tn(U)} such that limmHp(Tm(U),U)=Hp(U,U) and we have (Tn(U),Tn+1(U))E(˜G) for all nN.

    First, we are going to show that Hp(U,U)=0. Suppose, by way of contradiction, that this is not true. Then, since T is a generalized graph ϕ-contraction, for (Un1,Un)E(G), we have

    Hp(Tn(U),Tn+1(U))=Hp(T(Un1),Un)ϕ(Mp(Un1,Un)), (2.3)

    where

    Mp(Un1,Un)=max{Hp(Un1,Un),Hp(Un1,T(Un1)),Hp(Un,T(Un)),Hp(Un1,T(Un))+Hp(Un,T(Un1))3}=max{Hp(Un1,Un),Hp(Un,T(Un),Hp(Un1,Un+1)+Hp(Un,Un)3}.

    By taking limits on both sides of the above equation, we get: limnMp(Un1,Un)=Hp(U,U). Thus taking upper limit on both sides of inequality (2.3), we obtain

    0Hp(U,U)ϕ(Mp(U,U))<Hp(U,U),

    which is a contradiction. This obviously yields Hp(U,U)=0.

    By virtue of the property P, we can extract the subsequence {Tnk(U)}k1 that provides us with an edge connecting Tnk(U) and U for every kN. It follows, the triangle inequality (H4) and property (iii) of the definition of a generalized graph ϕ-contraction, as considered in Definition 1.4, that

    Hp(T(U),U)+infvVTnk(U)p(v,v)Hp(T(U),Tnk(U))+Hp(Tnk(U),U)ϕ(Mp(U,Tnk1(U)))+Hp(Tnk(U),U),

    where

    Mp(U,Tnk1(U))=max{Hp(U,Tnk1(U)),Hp(U,T(U)),Hp(Tnk1(U),Tnk(U)),Hp(U,T(U)+Hp(Tnk1(U),Tnk(U))3}.

    Now since Tnk(U) is closed and the second term on the left-hand side of the above inequality reduces to p(v,v), thus

    Hp(T(U),U)ϕ(Mp(U,Tnk1(U)))+Hp(Tnk(U),U)p(v,v)ϕ(Mp(U,Tnk1(U)))+Hp(Tnk(U),U).

    We know that limkMp(U,Tnk1(U))=Hp(U,T(U)) since any subsequence of a convergent sequence obviously converges to the same limit due to the uniqueness of limits. Hence, limkHp(Tnk(U),U)=Hp(U,U).

    Therefore, from the preceding inequality we get

    Hp(T(U),U)ϕ(Hp(U,T(U))+Hp(U,U)<Hp(U,T(U),

    which gives us a contradiction. Hence, UF(T).

    (iv) Let U,VF(T) and F(T) be complete; then, by Item (ii), we have that the Pompeiu-Hausdorff weight associated with U and V vanishes, which implies the equality U=V. Therefore, |F(T)|=1. Also, any singleton is closed and bounded.

    Proving the sufficiency, let F(T) be a singleton; then, (U,T(U))=(U,U)E(˜G); hence, F(T) is clearly complete.

    Example 2.2. Let X={0,1,4}=V(G) and p:XR+ be defined below:

    p(η1,η2)=14|η1η2|+12max{η1,η2},

    where, p(1,1)=12, p(4,4)=2 and p(0,0)=0. Also,

    E(G)={(0,0),(0,1),(0,4),(1,1),(1,4),(4,4)}.

    Indeed, p as defined above, is a partial distance that equips X.

    The K3 graph with the defined edge and vertex sets above is shown in Figure 1 with the Pompeiu-Hausdorff weights.

    Figure 1.  The K3 graph with the defined edge and vertex sets.

    Furthermore, note that the sets {0},{0,1} and {0,4} are bounded in X. In particular, they are closed sets in X. Sets {0} and {0,1} are shown as closed in Aydi et al. [9]. We show that {0,4} is indeed closed. We have

    η¯{0,4}p(η,{0,4})=p(η,η)min{34η,14|η4|+12max{η,4}}=12ηη{0,4},

    from which we deduce that the set {0,4} is, in fact, closed. Here, the closedness is understood in the sense of the partial metric p.

    Now, for ease of readability, we define the following notation: {0}=ˉ0,{0,1}=ˉ1 and {0,4}=ˉ4, where CBp(X)={ˉ0,ˉ1,ˉ4}. Employing the definition of the Pompeiu-Hausdorff metric and applying it to the elements of CBp(X), we get the following measure between the elements of CBp(X):

    Hp(χ1,χ2)={0 if χ1=χ2=ˉ034 if χ1=ˉ0 or χ1=ˉ1 and χ2=ˉ13 if χ1=ˉ0 or χ1=ˉ1 and χ2=ˉ42 if χ1=χ2=ˉ4.

    Define the map T:CBp(X)CBp(X), as follows:

    T(U)={ˉ0 if U=ˉ0 or U=ˉ1ˉ1U=ˉ4.

    Notice that, between any two elements χ1 and χ2 of CBp(X), there is an edge (path) between them. Furthermore, there is an edge (path) between T(χ1) and T(χ2).

    Define ϕ:[0,)[0,) by

    ϕ(t)={4t5, if t[0,5),2n1(2n+1t8)22n1, if t[22n+3+322n+3,22n+5+322n+2+3], nN.

    An easy computation is sufficient to prove that the map ϕ is actually continuous on [0,), satisfying the bound ϕ(t)<t for every t>0.

    Now, for all χ1,χ2CBp(X), we consider the occurring cases:

    (a) For χ1,χ2{¯0,ˉ1}, we have Hp(T(χ1),T(χ2))=Hp(ˉ0,ˉ0)=0.

    (b) If χ1{¯0,ˉ1} and χ2=ˉ4, then we have

    Hp(T(χ1),T(χ2))=Hp(¯0,ˉ1)=34<125=ϕ(3)=ϕ(Hp(χ1,χ2)).

    (c) If χ1=χ2=ˉ4, then we have

    Hp(T(χ1),T(χ2))=H(ˉ1,ˉ1)=34<85=ϕ(2)=ϕ(Hp(χ1,χ2)).

    Clearly, the inequality (1.1) is valid for all of the above three cases, (a)–(c). We henceforth deduce that, for any χ1,χ2CBp(X), one has an edge linking χ1 and χ2. Since (1.1) holds true, we deduce that T is a generalized graph ϕ-contraction. Thus far, the four conditions of the main theorem, Theorem 2.1, hold true. Moreover, T({0})={0}, making the singleton {0} the fixed point for T from which we infer that F(T) is reduced to the unit set {0}. Equivalently, the set F(T) is a complete set.

    The next example shows that, although it holds in a partial metric space, it does not carry over to a metric space where the metric pS is induced from p.

    Example 2.3. We set X:={0,1,2}=V(G) to be equipped with a partial metric p:X×XR+ that is defined as follows:

    p(0,0)=p(1,1)=0,p(0,1)=p(1,0)=13,p(0,2)=p(2,0)=1124,p(1,2)=p(2,1)=12,p(2,2)=14.

    Define E(G)={(0,0),(1,1),(2,2),(0,1),(0,2),(1,2)}. Furthermore, the sets {0} and {0,1} are mentioned as closed in [9]. However, we demonstrate that {0},{0,1} and {0,2} are indeed closed.

    η¯{0}p(η,{0})=p(η,η)p(η,{0})=0η{0}.

    Hence, {0} is a closed set again w.r.t. the partial distance p. In the same fashion, we have

    η¯{0,1}p(η,{0,1})=p(η,η)p(η,{0,1})=0η{0,1}.

    Hence, we hereby confirmed that the set {0,1} is also a closed set w.r.t. p. Finally,

    η¯{0,2}p(η,{0,2})=p(η,η)p(η,{0,2})=14η{0,2}.

    Hence, {0,2} is also closed. Clearly, the above sets are also bounded. As a result, we have CBp(X)={ˉ0,ˉ1,ˉ2}, where ˉ0={0},ˉ1={0,1} and ˉ2={0,2}. We employ the Pompeiu-Hausdorff metric and apply it to the elements of CBp(X), as follows:

    Hp(χ1,χ2)={0 if χ1=χ2=ˉ0 or χ1=χ2=ˉ113 if χ1=ˉ0 and χ2=ˉ11124 if χ1=ˉ0 and χ2=ˉ212 if χ1=ˉ1 and χ2=ˉ214 if χ1=χ2=ˉ2.

    Define T:CBp(X)CBp(X), as follows:

    T(U)={ˉ0 if U=ˉ0 or =ˉ1ˉ1 if U=ˉ2.

    Notice that, between any two elements χ1 and χ2 of CBp(X), there is an edge (path) between them. Furthermore, there is an edge resp. (path) connecting T(χ1) and T(χ2). We consider a function ϕ:[0,)[0,) as defined in Example 2.2.

    Now, for all χ1,χ2CBp(X), we look into the following cases:

    1) Hp(T(χ1),T(χ2))=Hp(ˉ0,ˉ0)=0 whenever χ1,χ2{ˉ0,ˉ1}.

    2) If χ1{ˉ0,ˉ1} and χ2=ˉ2, then it follows that, in the ase χ1=ˉ0 and χ2=ˉ2, then

    Hp(T(χ1),T(χ2))=Hp(ˉ0,ˉ1)=13<1130=ϕ(1124)=ϕ(Hp(χ1,χ2)).

    And, when χ1=ˉ1 and χ2=ˉ2, we have

    Hp(T(χ1),T(χ2))=Hp(ˉ0,ˉ1)=13<25=ϕ(12)=ϕ(Hp(χ1,χ2)).

    3) If χ1=χ2=ˉ2, then we have

    Hp(T(χ1),T(χ2))=Hp(ˉ1,ˉ1)=0<15=ϕ(Hp(χ1,χ2)).

    Clearly, (1.1) is satisfied in the above enumerated cases. Hence, for all χ1,χ2CBp(X), there is an edge between χ1 and χ2, condition (1.1) is satisfied and T is a generalized graph ϕ-contraction. Thus, all conditions of Theorem 2.1 hold true. Furthermore, T(ˉ0)=ˉ0, making ˉ0 the fixed point of T from which we infer that the set F(T) is complete.

    Now, pS is the metric induced by the partial metric p, as defined below:

    pS(η1,η2)=2p(η1,η2)p(η1,η1)p(η2,η2).

    Notice that the pair (X,pS) is a metric space. From the above, we have the following:

    pS(0,0)=0=pS(1,1)=pS(2,2),pS(0,1)=23=pS(1,0)=pS(0,2)=pS(2,0),pS(2,1)=34=pS(1,2).

    We now demonstrate that Theorem 2.1 in [1] cannot be applicable for χ1=ˉ0 and χ2=ˉ2; we then compute the following:

    H(T(ˉ0),T(ˉ2))=H(ˉ0,ˉ1)=max{suppS({0,1},0),suppS(0,ˉ1)}=23815=ϕ(23)=ϕ(H(ˉ0,ˉ2)).

    Let us denote by Υ the set of functions

    {φ:R+R+,If(t)dt<,withε0f(t)dt>0,for eachε>0}

    for any compact set IR+. Consequently, applying the result in Theorem 2.1, we derive the result below concerning the existence of a fixed point for a mapping with the contractive conditions of integral type.

    Corollary 2.4. Let (X,p) be a complete partial metric space equipped with a graph G with the vertex set V(G)=X and the edge set E(G)Δ. We assume that T:CBp(X)CBp(X) is a mapping such that for all χ1,χ2CBp(X), the conditions below hold true.

    (A1) If e is an edge linking χ1 and χ2, we infer that eT is the edge connecting T(χ1) and T(χ2).

    (A2) A path W from χ1 to χ2 implies that WT is also a path connecting T(χ1) to T(χ2).

    (A3) There exists a function ϕ:R+R+ such that ϕ is upper-semicontinuous, monotonic and non-decreasing, and that ϕ(t)<t for every t>0, with r=0ϕr(t), is convergent; and, if e is an edge from χ1 to χ2, we infer that

    Hp(T(χ1),T(χ2))ϕ(Mp(χ1,χ2))0φ(t)dt, (2.4)

    where

    Mp(χ1,χ2)=max{Hp(χ1,χ2),Hp(χ1,T(χ1)),Hp(χ2,T(χ2)),Hp(χ1,T(χ2))+Hp(χ2,T(χ1))3}.

    Then, the statements below are valid.

    (i) If F(T) is complete, then the partial Hausdorff weight assigned to the U,VF(T) is zero.

    (ii) If F(T), then XT. Furthermore, for any UF(T), one has Hp(U,U)=0.

    (iii) If XT is not empty and (P) holds true for the weakly connected graph ˜G, then the mapping T has a fixed point.

    (iv) F(T) is a complete set if and only if the set F(T) is reduced to a singleton.

    Proof. Define Ψ:[0,)[0,) by Ψ(x)=x0φ(t)dt; then, from (2.4), we have

    Hp(T(χ1),T(χ2))Ψ(ϕ(Mp(χ1,χ2))), (2.5)

    which can be expressed in the form

    Hp(T(χ1),T(χ2))ϕ(Mp(χ1,χ2)), (2.6)

    where ϕ=Ψϕ. Clearly, the function ϕ:R+R+ is upper-semicontinuous and non-decreasing with ϕ(t)<t for every t>0. Hence, by Theorem 2.1, the result follows.

    Corollary 2.5. Let (X,p) be as in Corollary 2.4. We assume that T:CBp(X)CBp(X) is a mapping such that, for all χ1,χ2CBp(X), the conditions below hold true.

    (1) If e is an edge linking χ1 and χ2, we infer that eT is the edge connecting T(χ1) and T(χ2).

    (2) A path W from χ1 to χ2 implies that WT is also a path connecting T(χ1) to T(χ2).

    (3) There exists a constant 0κ<1 such that, if e is an edge from χ1 to χ2, we infer that

    Hp(T(χ1),T(χ2))κMp(χ1,χ2), (2.7)

    where

    Mp(χ1,χ2)=max{Hp(χ1,χ2),Hp(χ1,T(χ1)),Hp(χ2,T(χ2)),Hp(χ1,T(χ2))+Hp(χ2,T(χ1))3}.

    Then, the statements below are valid.

    (i) If F(T) is complete, then the partial Hausdorff weight assigned to the U,VF(T) is zero.

    (ii) If F(T), then XT. Furthermore, for any UF(T), one has Hp(U,U)=0.

    (iii) If XT is not empty and (P) holds true for the weakly connected graph ˜G, then the mapping T has a fixed point.

    (iv) F(T) is a complete set if and only if the set F(T) is reduced to a singleton.

    Proof. By taking ϕ(t)=κt in Theorem 2.1, the result follows.

    Remark 2.6. Let Sp(X) denote the collection of all singleton subsets of the given space X. Then clearly, Sp(X)CBp(X). In this case, the operator T becomes a self-mapping on X.

    Consequently, the following fixed-point result is obtained.

    Corollary 2.7. Let (X,p) be as in Corollary 2.4. Assume that T:Sp(X)Sp(X) is a mapping such that, for all χ1,χ2Sp(X), the conditions below hold true.

    (1) eT is an edge that links T(χ1) to T(χ2) whenever e is the preceding edge that links χ1 and χ2.

    (2) WT is a path from T(χ1) to T(χ2) whenever W is a path from χ1 to χ2.

    (3) There exists a function ϕ:R+R+ such that ϕ is upper-semicontinuous, monotonic and non-decreasing, and that ϕ(t)<t for every t>0, with r=0ϕr(t), is convergent; also, if e is an edge from χ1 to χ2, we infer that

    p(T(χ1),T(χ2))ϕ(Mp(χ1,χ2)), (2.8)

    where

    Mp(χ1,χ2)=max{p(χ1,χ2),p(χ1,T(χ1)),p(χ2,T(χ2)),p(χ1,T(χ2))+p(χ2,T(χ1))3}.

    Then, the statements below are valid.

    (i) If F(T) is complete, then the partial Hausdorff weight assigned to the U,VF(T) is zero.

    (ii) If F(T), then XT. Furthermore, for any UF(T), one has Hp(U,U)=0.

    (iii) If XT is not empty and (P) holds true for the weakly connected graph ˜G, then the mapping T has a fixed point.

    (iv) F(T) is a complete set if and only if the set F(T) is reduced to a singleton.

    Theorem 2.8. Let (X,p) be a complete partial metric space equipped with a digraph G having both vertex and edge sets satisfying V(G)=X and ΔE(G), respectively. We assume that the map S:CBp(X)CBp(X) is a generalized graph ϕ-contraction. Then, it holds that

    (I) the partial Hausdorff weight associated with U,VF(S) is zero whenever the non-empty set F(S) is complete;

    (II) if F(S), then XS. Furthermore, for any UF(S), one has Hp(U,U)=0;

    (III) assume that ˜G has the property (P) and that XS. Then, the map S has a fixed point;

    (IV) F(S) is a complete set if and only if F(S) is reduced to a singleton set.

    Proof. (I) Let U,VF(S) and F(S) be complete; then, there is an edge between U and V. Suppose, by way of contradiction, that Hp(U,V)0. It follows that, since S is a graph rational ϕ-contraction, we have

    0Hp(U,V)=Hp(S(U),S(V))ϕ(Np(U,V)), (2.9)

    where

    Np(U,V)=max{Hp(S2(U),S(U)),Hp(S2(U),V),Hp(S2(U),S(V)),Hp(V,S(V))[1+Hp(U,S(U))]1+Hp(U,V),Hp(V,S(U))[1+Hp(U,S(U))]1+Hp(U,V)}=max{Hp(U,U),Hp(U,V),Hp(U,V),Hp(V,V)[1+Hp(U,U)]1+Hp(U,V),Hp(V,U)[1+Hp(U,U)]1+Hp(U,V)}=Hp(U,V). (2.10)

    Now, from inequality (2.9) and Eq (2.10), it follows that

    Hp(U,V)=Hp(S(U),S(V))ϕ(Np(U,V))=ϕ(Hp(U,V))<Hp(U,V),

    which is a contraction. Hence, our result follows.

    (II) Let UF(S); then, S(U)=U, a similar argument to Theorem 2.4, shows that XS.

    Furthermore, if S(U)=U, then Hp(U,U)=0. Suppose otherwise, that is, Hp(U,U)>0. Then, as S is a generalized rational graph ϕ-contraction, and by taking χ1=χ2=U in Eq (1.2), we have

    Hp(U,U)=Hp(S(U),S(U))ϕ(Np(U,U)), (2.11)

    where

    Np(U,U)=max{Hp(S2(U),S(U)),Hp(S2(U),U),Hp(S2(U),S(U)),  Hp(U,S(U))[1+Hp(U,S(U))]1+Hp(U,U),Hp(U,S(U))[1+Hp(U,S(U))]1+Hp(U,U)}=Hp(U,U).

    It follows that

    Hp(U,U)=Hp(S(U),S(U))ϕ(Np(U,U))=ϕ(Hp(U,U))<Hp(U,U)

    which is obviously a contradiction.

    In order to show that the result in Item (III) holds true; it is sufficient to prove that UF(S). For this purpose, let UXS. Then, since UCBp(X) and ˜G is weakly connected, it follows that CBp(X)[U]˜G=P(X), where P(X) is the non-empty power set on X. Since S is a self-map and the equivalence class satisfies the transitive property on CBp(X), we have S(U)[U]˜G.

    As such by a similar argument, we have S(Ui)[U]˜G for each Si[U]˜G. Since UXS, there is an edge between U and S(U). It follows that, since S is a generalized rational graph ϕ-contraction, we have (Sn(U),Sn+1(U))E(˜G) for all nN.

    We now define a recursive iterative sequence, as follows:

    U=U0,S(U0)=U1,S2(U0)=S(U1)=U2,Sn(U0)=S(Un1)=Un.

    Since ˜G is weakly connected, then there exists a sequence {xi}ni=1 for x0=x and xn=y and (xi1,xi)E(˜G) for i=1,2,,n such that xiUi for i=1,2,,n. It follows that, since S is a generalized rational graph ϕ-contraction, we have

    Hp(Sn(U),Sn+1(U))=Hp(Un,Un+1)=Hp(S(Un1),S(Un))ϕ(Np(Un1,Un)), (2.12)

    where

    Np(Un1,Un)=max{Hp(S2(Un1),S(Un1)),Hp(S2(Un1),Un),Hp(S2(Un1),S(Un)),Hp(Un,S(Un))[1+Hp(Un1,S(Un1))]1+Hp(Un1,Un),Hp(Un,S(Un1))[1+Hp(Un1,S(Un1))]1+Hp(Un1,Un)}=max{Hp(Un+1,Un),Hp(Un+1,Un),Hp(Un+1,Un+1),Hp(Un,Un+1)[1+Hp(Un1,Un)]1+Hp(Un1,Un),Hp(Un,Un)[1+Hp(Un1,Un)]1+Hp(Un1,Un)}max{Hp(Un+1,Un),Hp(Un1,Un)}.

    That is,

    Hp(Sn(U),Sn+1(U))ϕ(Np(Un1,Un))ϕ(max{Hp(Un+1,Un),Hp(Un1,Un)}). (2.13)

    Now, if max{Hp(Un+1,Un),Hp(Un1,Un)}=Hp(Un+1,Un), then, from Eq (2.13), we have

    Hp(Un+1,Un)ϕ(Np(Un1,Un))=ϕ(Hp(Un+1,Un))<Hp(Un+1,Un),

    which is a contradiction.

    Therefore,

    max{Hp(Un+1,Un),Hp(Un1,Un)}=Hp(Un1,Un),

    and it follows that

    Hp(Sn(U),Sn+1(U))=Hp(S(Un1),S(Un))=Hp(Un,Un+1)ϕ(Hp(Un1,Un))=ϕ(Hp(S(Un2),S(Un1)))ϕ2(Hp(Un2,Un1))ϕn(Hp(U0,U1))=ϕn(Hp(U,S(U))).

    Now, for m,nN with m>n,

    Hp(Sn(U),Sm(U))Hp(Sn(U),Sn+1(U))+Hp(Sn+1(U),Sn+2(U))++Hp(Sm1(U),Sm(U))ϕn(Hp(U,S(U)))+ϕn+1(Hp(U,S(U)))++ϕm1(Hp(U,S(U)))=(ϕn+ϕn+1++ϕm1)(Hp(U,S(U)))r=0ϕr(Hp(U,S(U))).

    On taking the upper limit as n,m, this shows that {Sm(U)} is Cauchy; also since, by assumption, (X,p) is a complete partial metric space, we deduce that we will find some set U in CBp(X) such that limmHp(Sm(U),U)=Hp(U,U).

    Now bringing all of the above results together, it follows that limmHp(Sm(U),U)=Hp(U,U), and we have (Sn(U),Sn+1(U))E(˜G) for all nN. First, we are going to show that Hp(U,U)=0. Suppose, by way of contradiction, that this is not true. Then, since S is a generalized rational graph ϕ-contraction, for (Un1,Un)E(G), we have

    Hp(Sn(U),Sn+1(U))=Hp(S(Un1),Un)ϕ(Np(Un1,Un)), (2.14)

    where

    Np(Un1,Un)=max{Hp(S2(Un1),S(Un1)),Hp(S2(Un1),Un),Hp(S2(Un1),S(Un)),Hp(Un,S(Un))[1+Hp(Un1,S(Un1))]1+Hp(Un1,Un),Hp(Un,S(Un1))[1+Hp(Un1,S(Un1))]1+Hp(Un1,Un)}=max{Hp(Un+1,Un),Hp(Un+1,Un+1),Hp(Un,Un),Hp(Un,Un+1)[1+Hp(Un1,Un)]1+Hp(Un1,Un),Hp(Un,Un)[1+Hp(Un1,Un)]1+Hp(Un1,Un)}.

    By taking the limits on both sides of the above equation, we get limnNp(Un1,Un)=Hp(U,U). Thus, taking the limits on both sides of Inequality (2.13), we get

    0<Hp(U,U)ϕ(Np(U,U))<Hp(U,U),

    which is a contradictory result. Hence, Hp(U,U)=0.

    Now, by virtue of the property (P), we can extract a subsequence {Snk(U)} such that there is an edge between Snk(U) and U for each kN. It follows from the triangle inequality (H4) and property (iii) of the definition of the generalized rational graph ϕ-contractions that we have the following inequalities:

    Hp(S(U),U)+infvVSnk(U)p(v,v)Hp(S(U),Snk(U))+Hp(Snk(U),U)ϕ(Np(U,Snk1(U)))+Hp(Snk(U),U),

    where

    Np(Snk1(U),U)=max{Hp(Snk+1(U),Snk(U)),Hp(Snk+1(U),U),Hp(Snk+1(U),S(U)),Hp(U,S(U))[1+Hp(Snk1(U),Snk(U))]1+Hp(Snk1(U),U),Hp(U,Snk(U))[1+Hp(Snk1(U),Snk(U))]1+Hp(Snk1(U),U)}.

    Taking the limits on both sides, we obtain

    limnNp(U,Snk1(U))=max{Hp(U,U),Hp(U,U),Hp(U,S(U))Hp(U,S(U))[1+Hp(U,U)]1+Hp(U,U),Hp(U,U)[1+Hp(U,U)]1+Hp(U,U)}=Hp(U,S(U)). (2.15)

    Now since Snk(U) is closed, the second term on the left-hand side of the above inequality reduces to p(v,v). Thus,

    Hp(S(U),U)ϕ(Np(U,Snk1(U)))+Hp(Snk(U),U)p(v,v)ϕ(Np(U,Snk1(U)))+Hp(Snk(U),U).

    We know, from Eq (2.15) above that limnkNp(U,Snk1(U))=Hp(U,S(U)), since a subsequence of a convergent sequence converges to the same limit due to the uniqueness of limits. Hence, limkHp(Snk(U),U)=Hp(U,U). Therefore, from the preceding inequality, we get

    Hp(S(U),U)ϕ(Hp(U,S(U))+Hp(U,U)<Hp(U,S(U)),

    which gives us a contradiction. Hence, UF(S).

    (IV) It is enough to show that the set F(S) can be reduced to a unit set. We consider U,VF(S) with F(S) as complete; then, by (II), the partial Hausdorff weight associated with U and V is zero, which implies U=V. Therefore, |F(S)|=1. Also, any singleton is closed and bounded. Proving the sufficiency, let F(S) be a singleton; then, (U,S(U))=(U,U)E(˜G), and it is clearly complete.

    Corollary 2.9. Let (X,p) be as in Corollary 2.4. We assume that S:CBp(X)CBp(X) is a mapping such that, for all χ1,χ2CBp(X), the conditions below hold true.

    (i) eS is an edge connecting S(χ1) and S(χ2) whenever e is an edge connecting χ1 and χ2.

    (ii) From a path W from χ1 to χ2, one can infer a path WS from S(χ1) to S(χ2).

    (iii) There exists a function ϕ:R+R+ such that ϕ is upper semicontinuous, monotonic and non-decreasing, and that ϕ(t)<t for every t>0, with r=0ϕr(t), is convergent; also, if e is an edge from χ1 to χ2, we infer that

    Hp(S(χ1),S(χ2))ϕ(Np(χ1,χ2))0φ(t)dt, (2.16)

    where

    Np(χ1,χ2)=max{Hp(S2(χ1),S(χ1)),Hp(S2(χ1),χ2),Hp(S2(χ1),S(χ2)),Hp(χ2,S(χ2))[1+Hp(χ1,S(χ1))]1+Hp(χ1,χ2),Hp(χ2,S(χ1))[1+Hp(χ1,S(χ1))]1+Hp(χ1,χ2)}.

    Then it holds that:

    (1) If F(S) is complete, then the partial Hausdorff weight assigned to the U,VF(S) is zero.

    (2) If F(S), then XS. Furthermore, for any UF(S), one has Hp(U,U)=0.

    (3) If XS and ˜G is a weakly connected graph having the property (P), then S has a fixed point.

    (4) F(S) is complete if and only if F(S) is reduced to a singleton.

    Now, we will define the well-posedness of fixed-point-based problems of generalized graph contractive operators in the framework of partial metric spaces.

    Definition 3.1. For a complete partial metric space (X,p), we say that a fixed-point-based problem of mapping T:CBp(X)CBp(X) is called well-posed if T has a unique fixed point χCBp(X), and for any sequence {χn} in CBp(X), limnHp(T(χn),χn)=Hp(χ,χ) implies that limnHp(χn,χ)=Hp(χ,χ).

    Theorem 3.2. Given a complete partial metric space (X,p) and an operator mapping T:CBp(X)CBp(X), as defined in Corollary 2.5, then the fixed-point-based problem of T is well-posed.

    Proof. From Corollary 2.5, we infer that the map T has a unique fixed point, say χ. Let χn be a sequence in CBp(X) such that limnHp(T(χn),χn)=Hp(χ,χ). We want to show that limnχn=χ. From (2.7), we then have

    Hp(χn,χ)Hp(χn,T(χn))+Hp(T(χn),χ)infaT(χn)p(a,a)=Hp(χn,T(χn))+Hp(T(χn),T(χ))p(a,a)Hp(T(χn),T(χ))+Hp(χn,T(χn))κMp(χn,χ)+Hp(χn,T(χn)), (3.1)

    where

    Mp(χn,χ)=max{Hp(χn,χ),Hp(χn,T(χn)),Hp(χ,T(χ)),Hp(χn,T(χ))+Hp(χ,T(χn))3}.

    We now consider the following cases:

    Case 1: If Mp(χn,χ)=Hp(χn,χ), then, by Eq (3.1) above, we have

    Hp(χn,χ)κHp(χn,χ)+Hp(χn,T(χn)),

    that is,

    Hp(χn,χ)11κHp(χn,T(χn)).

    Now, taking the limits on both sides of the above inequality implies limnHp(χn,χ)=0, that is, limnχn=χ.

    Case 2: If Mp(χn,χ)=Hp(χn,T(χn)), then, by Eq (3.1) above, we have

    Hp(χn,χ)κHp(χn,T(χn))+Hp(χn,T(χn)).

    Again, by taking the limits on both sides, we have

    limnHp(χn,χ)(1+κ)limnHp(χn,T(χn))=0.

    Hence, limnHp(χn,χ)=0, that is, limnχn=χ.

    Case 3: If Mp(χn,χ)=Hp(χ,T(χ)), then, by Eq (3.1) above, we have

    Hp(χn,χ)κHp(χ,T(χ))+Hp(χn,T(χn))=Hp(χn,T(χn)).

    By limiting, we get limnHp(χn,χ)=0, that is, limnχn=χ.

    Case 4: If Mp(χn,χ)=Hp(χn,T(χ))+Hp(χ,T(χn))3, then, by Eq (3.1) above, we have

    Hp(χn,χ)κ3[Hp(χn,T(χ))+Hp(χ,T(χn))]+Hp(χn,T(χn))κ3[Hp(χn,χ)+Hp(χ,χn)+Hp(χn,T(χn))]+Hp(χn,T(χn))=2κ3Hp(χn,χ)+(3+κ)3Hp(χn,T(χn)),

    that is,

    Hp(χn,χ)(3+κ)32κHp(χn,T(χn)). (3.2)

    By taking the limit, we get limnHp(χn,χ)=0, that is, limnχn=χ.

    This completes the proof.

    We are applying our obtained results to obtain the solution of a functional equation arising in the dynamic programming.

    Let B1 and B2 be two Banach spaces with UB1 and VB2. Suppose that

    τ:U×VU,σ1,σ2:U×VR,f:U×V×RR.

    If we consider U and V as the state and decision spaces, respectively, then the problem of dynamic programming reduces to the problem of solving the following functional equation:

    ρ(x)=supyV{σ1(x,y)+f(x,y,ρ(τ(x,y)))}, for xU. (4.1)

    Equation (4.1) can be reformulated as

    ρ(x)=supyV{σ2(x,y)+f(x,y,ρ(τ(x,y)))}b, for xU (4.2)

    where b>0.

    We study the existence and uniqueness of the bounded solution of the functional equation (4.2) arising in dynamic programming in the setup of the partial metric spaces.

    Let B(U) denotes the set of all bounded real-valued functions on U. For an arbitrary ηB(U), define . Then, (B(U), \left \Vert \cdot \right \Vert) is a Banach space. Now, consider

    \begin{equation*} p_{_{B}}(\eta , \xi ) = \sup \limits_{t\in U}\left \vert \eta \left( t\right) -\xi \left( t\right) \right \vert +b, \end{equation*}

    where \eta, \xi \in B(U) . Then, p_{_{B}} is a partial metric on B(U) (see also [3]).

    Consider the graph G with a partial order relation by

    \begin{equation*} \eta , \xi \in B(U), \text{ }\eta \leq \xi \ \text{if and only if}\ \eta \left( t\right) \leq \xi \left( t\right) \text{ for }t\in U. \end{equation*}

    Then, \left(B(U), p_{_{B}}\right) is a complete partial metric space with a directed graph G, , where

    E\left( G\right) = \left \{ \left( \eta , \xi \right) \in B(U)\times B(U):\eta \leq \xi \right \} .

    Assume that:

    (C _{1} ) f, \sigma _{1} and \sigma _{2} are bounded and continuous.

    (C _{2} ) For x\in U , \eta \in B(U) and b > 0 , take T:B(U)\rightarrow B(U) as

    \begin{equation} T\eta (x) = \underset{y\in V}{\sup }\{ \sigma _{2}(x, y)+f(x, y, \eta (\tau (x, y)))\}-b\text{ for }x\in U. \end{equation} (4.3)

    Moreover, for every (x, y)\in U\times V , \left(\eta, \xi \right) \in E(G) and t\in U implies

    \begin{equation} \left \vert f(x, y, \eta \left( t\right) )-f(x, y, \xi \left( t\right) )\right \vert \leq \phi \left( \mathcal{M}_{p}(\eta \left( t\right) , \xi \left( t\right) )\right) -2b, \end{equation} (4.4)

    where a function \phi : \mathbb{R} ^{+}\rightarrow \mathbb{R} ^{+} such that \phi is upper semicontinuous, monotonic and non-decreasing, and that \phi (t) < t for every t > 0 , with \sum_{r = 0}^{\infty }\phi ^{r}\left(t\right) , is convergent; also

    \begin{eqnarray*} \mathcal{M}_{p}(\eta \left( t\right) , \xi \left( t\right) ) & = &\max \{p_{_{B}}(\eta \left( t\right) , \xi \left( t\right) ), p_{_{B}}(\eta \left( t\right) , T\eta \left( t\right) ), p_{_{B}}(\xi \left( t\right) , T\xi \left( t\right) ), \\ &&\frac{p_{_{B}}(\eta \left( t\right) , T\xi \left( t\right) )+p_{_{B}}(\xi \left( t\right) , T\eta \left( t\right) )}{3}\}. \end{eqnarray*}

    (C _{3} ) For any converging sequence \left \{ \eta _{n}\right \} \ of B(U) , that is, \lim \limits_{n\rightarrow \infty }p_{B}(\eta _{n}, \eta ^{\ast }) = p_{B}(\eta ^{\ast }, \eta ^{\ast }) for some \eta ^{\ast } in B(U) , with (\eta _{n}, \eta _{n+1})\in E\left(G\right) for n\in \mathbb{N}, there exists a subsequence \{ \eta _{n_{k}}\} \ of \{ \eta _{n}\} that satisfies \left(\eta _{n_{k}}, \eta ^{\ast }\right) \in E\left(G\right) .

    Theorem 4.1. Assume that the conditions (C _{1} )–(C _{3} ) hold. Then, the functional equation (4.2) has a unique bounded solution in B(U) .

    Proof. Note that (B(U), p_{B}) is a complete partial metric space. By (C _{1} ), T\ is a self-mapping of B(U) . By (4.3) in (C _{2} ), it follows that for any \left(\eta, \xi \right) \in E\left(G\right) and b > 0 , choose x\in U and y_{1}, y_{2}\in V such that

    \begin{equation} T\eta < \sigma _{2}(x, y_{1})+f(x, y_{1}, \eta (\tau (x, y_{1}))), \end{equation} (4.5)
    \begin{equation} T\xi < \sigma _{2}(x, y_{2})+f(x, y_{2}, \xi (\tau (x, y_{2}))), \end{equation} (4.6)

    which further implies that

    \begin{equation} T\eta \geq \sigma _{2}(x, y_{2})+f(x, y_{2}, \eta (\tau (x, y_{2})))-b, \end{equation} (4.7)
    \begin{equation} T\xi \geq \sigma _{2}(x, y_{1})+f(x, y_{1}, \xi (\tau (x, y_{1})))-b. \end{equation} (4.8)

    From (4.5) and (4.8), and together with (4.4), we can obtain

    \begin{equation} \begin{array}{ll} T\eta \left( t\right) -T\xi \left( t\right) & < f(x, y_{1}, \eta (\kappa (x, y_{1})))-f(x, y_{1}, \xi (\tau (x, y_{1})))+b \\ & \leq \left \vert f(x, y_{1}, \eta (\kappa (x, y_{1})))-f(x, y_{1}, \xi (\tau (x, y_{1})))\right \vert +b \\ & \leq \phi \left( M_{p}(\eta \left( t\right) , \xi \left( t\right) )\right) -b. \end{array} \end{equation} (4.9)

    From (4.6) and (4.7), and together with (4.4), we can obtain

    \begin{equation} \begin{array}{ll} T\xi \left( t\right) -T\eta \left( t\right) & < f(x, y_{2}, \xi (\kappa (x, y_{2})))-f(x, y_{2}, \eta (\tau (x, y_{2})))+b \\ & \leq \left \vert f(x, y_{2}, \eta (\kappa (x, y_{2})))-f(x, y_{2}, \xi (\tau (x, y_{2})))\right \vert +b \\ & \leq \phi \left( \mathcal{M}_{p}(\eta \left( t\right) , \xi \left( t\right) )\right) -b. \end{array} \end{equation} (4.10)

    From (4.10), we get

    \begin{equation} \left \vert T\eta \left( t\right) -T\xi \left( t\right) \right \vert +b\leq \phi \left( \mathcal{M}_{p}(\eta \left( t\right) , \xi \left( t\right) )\right). \end{equation} (4.11)

    From (4.11), we obtain that

    \begin{equation} p_{B}(T\eta \left( t\right) , T\xi \left( t\right) )\leq \phi \left( \mathcal{ M}_{p}(\eta \left( t\right) , \xi \left( t\right) )\right) , \end{equation} (4.12)

    where

    \begin{eqnarray*} \mathcal{M}_{p}(\eta \left( t\right) , \xi \left( t\right) ) & = &\max \{p_{_{B}}(\eta \left( t\right) , \xi \left( t\right) ), p_{_{B}}(\eta \left( t\right) , T\eta \left( t\right) ), p_{_{B}}(\xi \left( t\right) , T\xi \left( t\right) ), \\ &&\frac{p_{_{B}}(\eta \left( t\right) , T\xi \left( t\right) )+p_{_{B}}(\xi \left( t\right) , T\eta \left( t\right) )}{3}\}. \end{eqnarray*}

    Therefore, all conditions of Corollary 2.7 hold. Thus, there exists a fixed point of T , that is, \eta ^{\ast }\in B(U) , where \eta ^{\ast }\left(t\right) is a solution of the functional equation (4.2).

    In this paper, we proved the existence of fixed-points for various different generalized contractive mappings in partial metric spaces endowed with a graph structure. Moreover, we were able to present some non-trivial examples to illustrate the main result and an application regarding the existence and uniqueness of the bounded solution of the functional equation arising in dynamic programming in the setup of partial metric spaces. Furthermore, we presented the well-posedness of fixed-point-based problems of generalized graph contractive operators in the framework of partial metric spaces.

    The authors are very grateful to the Basque Government for Grant IT1207-19. Moreover, the authors are thankful to anonymous reviewers and academic editor for their very useful comments, which undoubtedly has helped us to improve the overall presentation of the paper.

    The authors declare that they do not have any conflicts of interest regarding this paper.



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