Abstract.

Within graphical fuzzy metric spaces, the present study addresses a formulation for fuzzy graphical ψ-contractions as a novel family of contractions. Various fixed point results pertaining to the proposed contractions are established, supported by illustrative examples. Additionally, a discussion of the obtained findings extend and refine existing fixed point theorems is provided. To demonstrate their applicability, the study includes an application on establishing solution solvability for fractional-order nonlinear differential equations.

keywords:
fixed point; graphical fuzzy metric space; fuzzy graphical ψ-contraction; nonlinear fractional differential equation; directed graph.
MSC:
47H10; 54H25; 26A33.

1. Introduction

Fixed point analysis constitutes a pivotal component within nonlinear functional analysis. It serves as a powerful method in analysing challenging problems across multiple mathematical and scientific disciplines, such as computer science, engineering, chemistry, economics, and medical sciences [55]. Among the classical results, the Banach contraction principle [4] remains a subject of active research, with expansions attained through different approaches and investigations in various abstract metric structures.

Zadeh’s introduction of fuzzy set theory [56] in 1965 is recognized as a major advancement in modern mathematics, as it assigns membership values to all elements of a set. Motivated by this concept, Kramosil and Michalek [26] proposed fuzzy metric spaces, subsequently modified by George and Veeramani [13] to ensure that the induced topological spaces are Hausdorff. Similar to their metric counterparts, researchers have extended this framework further, for instance, fuzzy cone metric spaces [33], complex-valued fuzzy metric spaces [43, 44], intuitionistic fuzzy metric spaces [34], complex-valued intuitionistic fuzzy metric spaces [52], fuzzy bipolar metric spaces [5], and neutrosophic metric spaces [25].

Grabiec [16] pioneered fixed points exploration within the fuzzy metric framework in 1988 by extending Banach contraction principle to complete fuzzy metric settings. Following this, Gregori and Sapena [20] proposed fuzzy contractive mappings in conjunction with related fixed point investigations. Following this line of research, numerous studies have explored generalized variants of contractive mappings, followed by an analysis of their fixed points. Notable studies include Mihet [29], who introduced fuzzy ψ-contractive mappings; Wardowski [50], who presented fuzzy H-contractive mappings; Khojasteh et al. [24], who formulated simulation functions; Shukla et al. [40], who studied fuzzy Z-contractive mappings; and Moussaoui et al. [31], who investigated simulative fuzzy F-contractive mappings. Additional studies on fuzzy contractions and their applications in fuzzy metric spaces can be found in [8, 15, 32].

Meanwhile, graph theory has been widely applied across disciplines such as architecture, chemistry, genetics, and computer science [58], as it provides a structural framework for illustrating objects and their associations via vertices and edges. In recent years, researchers have attempted the approach of integrating graph theory into advancement in fixed point theory. Jachymski [23] formulated Banach contraction on metric spaces possessing a graph structure in place of an order structure. Within the same abstract setting, Dinevari and Frigon [10] investigated fixed points under set-valued contractions. In 2017, Shukla et al. [41] defined graphical metric spaces, which extend classical metric spaces by weakening the triangle inequality for points lying on some paths of the defined space’s graph. They further established fixed point findings and showcased relevant applications. Such a structure was subsequently generalized to graphical b-metric spaces by Chuensupantharat et al. [7].

In a contemporary study, Saleem et al. [37] devised a fuzzified variant for graphical metric structures, called graphical fuzzy metric spaces, and established several fixed point outcomes. Being an innovative emerging research direction, Shukla et al. [42] addressed certain limitations in the work of [37] resulting from the complex nature of integrating fuzzy and graphical structures. In response, they presented some new fixed point results and explored some topological characteristics of graphical fuzzy metric spaces.

Inspired by [29], [37] and [42], this paper introduces a distinct family of contractions, namely fuzzy graphical ψ-contractive mappings, and investigates corresponding fixed point insights under the non-Archimedean graphical fuzzy metric spaces. Instances, along with application to fractional calculus are included to illustrate the findings. The subsequent sections are arranged as presented: Section 2 outlines foundational principles. The third section presents the primary findings, while Section 4 studies an application based upon findings towards proving the solvability for nonlinear fractional-order differential models. Finally, Section 5 concludes the paper by outlining prospects for continued research.

2. Preliminaries

This section offers fundamental concepts related to graphs and graphical fuzzy metric spaces to assist in comprehending the analysis that follows. Real numbers and positive integers are denoted by and , respectively. To maintain coherence of the framework established in the literature, we follow the approach presented in [41] and [37].

Suppose O stands as nonempty set, while Δ represents the diagonal subset of O×O. Take Γ to be a directed graph without parallel edges, for which its vertex set Ξ(Γ)=O and its edge set Σ(Γ) includes all loops, i.e., ΔΣ(Γ). Then, the set O is said to be associated with the graph Γ=(Ξ(Γ),Σ(Γ)), or simply Γ. The converse graph Γ1 is defined by

V(Γ1)=Ξ(Γ), and Σ(Γ1)={(ρ,ϱ)O×O:(ϱ,ρ)Σ(Γ)}.

The undirected graph induced by graph Γ, which contains all symmetric edges, is denoted by Γ~ where

Ξ(Γ~)=Ξ(Γ)=O, and Σ(Γ~)=Σ(Γ)Σ(Γ1).

Consider vertices ρ,ϱ in Γ. The path connecting ρ to ϱ with length l in Γ comprises a sequence {xi}i=0l containing l+1 vertices satisfying x0=ρ, xl=ϱ and (xi1,xi)Σ(Γ) where i=1,2,3,,l. The graph Γ is said to be connected whenever a path exists for each pair of vertices in Γ. In addition, for two vertices ρ and ϱ in a directed graph Γ, whenever a path from ρ to ϱ and from ϱ to ρ exists, then vertices ρ and ϱ are connected. The graph Γ is considered weakly connected whenever its associated undirected counterpart Γ~ remains connected.

A relation P over O is defined by (ρPϱ)Γ precisely when a directed path exists from ρ to ϱ. Given a vertex wO, we write w(ρPϱ)Γ to express that w is located on a directed path from ρ to ϱ. Suppose l, the notation [ρ]Γl is expressed as:

[ρ]Γl={ϱO:a directed path connects ρ to ϱ with length l}.

Furthermore, sequence {xn}O is called Γ-termwise connected sequence whenever (xnPxn+1)Γ holds for each n. A subgraph Γ of graph Γ constitutes a graph with vertex and edge sets contained in of those of Γ, that is, Ξ(Γ)Ξ(Γ) and Σ(Γ)Σ(Γ).

In the remainder of this paper, all the graphs are assumed to be directed graphs and possess nonempty vertex and edge sets. Graphical metric spaces are defined hereafter.

Definition 2.1 ([41]).

Suppose O is a nonempty set associated with a graph Γ and dΓ:O×O[0,) denoted as function in which conditions specified below hold:

  1. (GM1)

    dΓ(x,y)0 whenever x,yO;

  2. (GM2)

    dΓ(x,y)=0 exactly when x=y;

  3. (GM3)

    dΓ(x,y)=dΓ(y,x) over all x,yO;

  4. (GM4)

    For (xPy)Γ, if z(xPy)Γ then dΓ(x,y)dΓ(x,z)+dΓ(z,y) for each x,y,zO.

Consequently, dΓ is known as graphical metric on O, whereby (O,dΓ) is known as graphical metric space.

Preceding the structures concerning fuzzy metric and graphical fuzzy metric within the literature, a foundational concept essential to these definitions is recalled.

Definition 2.2 ([39]).

Binary operation defined [0,1] acts as continuous t-norm whenever subsequent properties are true:

  1. (T1)

    1a=a whenever a belongs to [0,1];

  2. (T2)

    ab=ba for every a,b[0,1];

  3. (T3)

    (ab)c=a(bc) for every a,b,c[0,1];

  4. (T4)

    ac and bd imply abcd given a,b,c,d belong to [0,1];

  5. (T5)

    is continuous.

Example 2.3.

Consider listed binary operations m,p,L defined with a,b[0,1]:

  1. (i)

    aLb=max{a+b1,0};

  2. (ii)

    apb=ab;

  3. (iii)

    amb=min{a,b};

Thus, each operation specified above constitute continuous t-norms.

Definition 2.4 ([13]).

Let O be a nonempty set, be a continuous t-norm, and M:O×O×(0,)[0,1] be a fuzzy set such where the listed conditions are satisfied:

  1. (FMS1)

    M(x,y,t)>0;

  2. (FMS2)

    M(x,y,t)=1 if and only if x=y;

  3. (FMS3)

    M(x,y,t)=M(y,x,t);

  4. (FMS4)

    M(x,y,t+s)M(x,z,t)M(z,y,s);

  5. (FMS5)

    M(x,y,):(0,)[0,1] is continuous;

considering x,y,zO along with t,s>0. Accordingly, mapping M represents fuzzy metric and the triple (O,M,) forms fuzzy metric space.

For a detailed discussion of fuzzy metric space structures, see [19], [18], [38], and [53].

This section concludes with an exposition of graphical fuzzy metric spaces and several definitions as recently proposed by Saleem et al. [37].

Definition 2.5 ([37]).

Let O be a nonempty set associated with graph Γ, denotes a continuous t-norm, and fuzzy set MΓ:O×O×(0,)[0,1] in which conditions specified below hold:

  1. (GFMS1)

    MΓ(x,y,t)>0;

  2. (GFMS2)

    MΓ(x,y,t)=1 if and only if x=y;

  3. (GFMS3)

    MΓ(x,y,t)=MΓ(y,x,t);

  4. (GFMS4)

    For (xPy)Γ, w(xPy)Γ implies MΓ(x,y,t+s)MΓ(x,w,t)MΓ(w,y,s);

  5. (GFMS5)

    MΓ(x,y,):(0,)[0,1] is continuous;

where w,x,yO and t,s>0. Consequently, triple (O,MΓ,) is known as graphical fuzzy metric space, whereas MΓ represents graphical fuzzy metric on O.

Remark 2.6.

If condition (GFMS4) is replaced by the following:

  1. (GFMS4enumi)

    For (xPy)Γ, w(xPy)Γ implies MΓ(x,y,max{t,s})MΓ(x,w,t)MΓ(w,y,s);

Then, (O,MΓ,) is called a non-Archimedean graphical fuzzy metric space. Alternatively, the inequality in (GFMS4) may be written as MΓ(x,y,t)MΓ(x,w,t)MΓ(w,y,t). Note that each non-Archimedean graphical fuzzy metric space is a graphical fuzzy metric space.

Example 2.7.

Consider O=(1,) and the graph Γ in which Ξ(Γ)=O and Σ(Γ)={(x,y)O×O:yx}Δ. A fuzzy set MΓ:O×O×(0,)[0,1] is then given by

MΓ(x,y,t)={1,x=y;1xy,otherwise;

where x,yO and t>0. Consequently, (O,MΓ,p) is readily seen as graphical fuzzy metric space.

Example 2.8 ([42]).

Consider (O,dΓ), a graphical metric space associated to graph Γ defined by Ξ(Γ)=O and Σ(Γ)=O×O. A fuzzy set MΓ:O×O×(0,)[0,1] is then expressed as

MΓ(x,y,t)=αtnαtn+βdΓ(x,y)

where x,yO and t>0, where α,β>0 and n. Consequently, (O,MΓ,m) forms a graphical fuzzy metric space. Under α=β=n=1, it is known as standard graphical fuzzy metric space produced by dΓ, and MΓ is known as graphical fuzzy metric produced by dΓ.

Remark 2.9.

Graphical fuzzy metric spaces are generally broader than fuzzy metric spaces. Note that a fuzzy metric space (O,M,) becomes a graphical fuzzy metric space once equipped with a graph Γ in which Ξ(Γ)=O and Σ(Γ)=O×O. However, a graphical fuzzy metric space might fail to satisfy the conditions required by the fuzzy metric space. Example below demonstrates preceding statement.

Refer to caption
Figure 1. The graph structure corresponding to the graphical fuzzy metric space.
Example 2.10.

Take O={1,2,3,4} and graph Γ in which Ξ(Γ)=O and Σ(Γ)=Δ{(1,2),(1,3),(3,2), (4,1),(4,2)} (see Figure 1). A fuzzy set MΓ:O×O×(0,)[0,1] is expressed as

MΓ(x,y,t)=min{x,y}max{x,y}

with x,yO and t>0. Consequently, (O,MΓ,m) forms graphical fuzzy metric space. Moreover, it is a non-Archimedean graphical fuzzy metric space.

It can be observed that criteria of fuzzy metric space are not satisfied. For instance, consider the case where x=1,y=4, z=2. Hence, at any t>0, (O,MΓ,m) does not constitute even a strong fuzzy metric space.

Definition 2.11 ([37]).

Consider (O,MΓ,) graphical fuzzy metric space. An open ball BΓ(x,r,t) with center xO, radius r(0,1), and t>0 is defined by

BΓ(x,r,t)={yO:(xPy)Γ,MΓ(x,y,t)>1r}.

Significantly, topology τΓ induced by graphical fuzzy metric MΓ is T1 but not Hausdorff in general. Additional topological aspects of graphical fuzzy metric spaces are detailed in [42].

Definition 2.12 ([37]).

Consider (O,MΓ,) graphical fuzzy metric space. Sequence {xn}O is convergent to xO whenever each r(0,1) and t>0, there exists n0 satisfying MΓ(xn,x,t)>1r for every nn0. Equivalently, sequence {xn} in O is convergent to xO if limnMΓ(xn,x,t)=1 for any t>0.

Remark 2.13.

It is well established that in fuzzy metric spaces, every convergent sequence has a unique limit. However, this property does not necessarily hold in graphical fuzzy metric spaces.

Example 2.14 ([42]).

Consider O=[0,1] and a graph Γ defined by Ξ(Γ)=O and Σ(Γ)={(x,y)O×O:yx}Δ. Further, consider the graphical metric dΓ defined by

dΓ(x,y)={0,x=y;xy,if x,y(0,1] and xy;x+y,otherwise.

Let MΓ be the graphical fuzzy metric defined as in Example 2.8 with α=β=n=1. Then, (O,MΓ,m) is a standard graphical fuzzy metric space. Consider the sequence {xn} in the form of xn=1n for each n. This sequence possesses infinitely many limits in X. In fact, every point of O is a limit of {xn}. Take any x(0,1) and a fixed t>0, then the intersection of BΓ(x,r1,t) and BΓ(1,r2,t) is nonempty for all r1,r2>0. Therefore, MΓ is not Hausdorff.

Definition 2.15 ([37]).

Consider (O,MΓ,) a graphical fuzzy metric space. Sequence {xn} in O is Cauchy sequence whenever every r(0,1) and t>0, there exists n0 satisfying MΓ(xn,xm,t)>1r for each n,mn0. Similarly, the sequence {xn} is Cauchy sequence whenever limn,mMΓ(xn,xm,t)=1 for any t>0.

Definition 2.16 ([37]).

A graphical fuzzy metric space (O,MΓ,) is complete whenever all Cauchy sequences of O are convergent. Suppose Γ is a different graph from Γ with Ξ(Γ)=O, then (O,MΓ,) is considered Γ-complete if each Γ-termwise connected Cauchy sequence in O is convergent.

3. Main Results

The present section discusses numerous fixed point findings under non-Archimedean graphical fuzzy metric spaces. To commence, several definitions regarding specific contractive condition are established. Let Ψ denoted as collection containing mappings ψ:[0,1][0,1] in which ψ exhibits continuous, nondecreasing and t<ψ(t) holds on every t(0,1). Lemma below follows from the properties of the mapping ψ.

Lemma 3.1.

Suppose ψ belongs to Ψ. Consequently, limnψn(t)=1 holds on every t(0,1).

Proof 3.2.

Assume t0(0,1) for which limnψn(t0)1. Since mapping ψ is nondecreasing and ψ(t0)>t0, it follows that ψn+1(t0)>ψn(t0) for all n. Consequently, {ψn(t0)} is an increasing sequence and bounded by [0,1]. Thus, the sequence converges, for example, limnψn(t0)=u for some u[0,1]. Due to ψ is continuous, one deduces that

u=limnψn+1(t0)=ψ(limnψn(t0))=ψ(u)>u

which gives rise to a contradiction. Therefore, limnψn(t)=1 throughout t(0,1).

The following contractive mapping, due to Mihet [29], features under fuzzy metric space.

Definition 3.3 ([29]).

Consider (O,M,) fuzzy metric space and ψΨ. Mapping T:OO is known as fuzzy ψ-contractive mapping if condition below applies:

M(x,y,t)>0M(Tx,Ty,t)ψ(M(x,y,t)), for all t>0.

Building upon this definition, we introduce its fuzzy graphical adaptation as follows.

Definition 3.4.

Let (O,MΓ,) be a graphical fuzzy metric space, T:OO be a mapping and Γ is a subgraph of Γ with ΔΣ(Γ). Then, mapping T is (Γ,Γ)-fuzzy graphical ψ-contraction on O whenever the criteria below are met:

  1. (FGψ1)

    Mapping T is edge preserving in Σ(Γ), specifically, (x,y)Σ(Γ) implies (Tx,Ty)Σ(Γ);

  2. (FGψ2)

    Mapping ψΨ exists for which each distinct pair x,yO satisfying (x,y)Σ(Γ),

    MΓ(Tx,Ty,t)ψ(MΓ(x,y,t)) for all t>0.

A sequence {xn} in O beginning with x0O is called T-Picard sequence (i.e., the Picard sequence associated with T) if xn=Txn1 is satisfied for every n. In subsequent discussion, graph Γ is assumed to be a subgraph of Γ in which ΔΣ(Γ).

Theorem 3.5.

Suppose (O,MΓ,) is a Γ-complete non-Archimedean graphical fuzzy metric space, and T:OO is a (Γ,Γ)-fuzzy graphical ψ-contraction. Assume following conditions are satisfied:

  1. (i)

    there exists x0O satisfying Tx0[x0]Γl for some l;

  2. (ii)

    if a Γ-termwise connected T-Picard sequence {xn} converges to some xO, then limit xO and n0 satisfying (xn,x)Σ(Γ) or (x,xn)Σ(Γ) for all nn0.

Consequently, there exists ϖO where the T-Picard sequence {xn} begins with x0O is Γ-termwise connected and converges to both ϖ and Tϖ in O.

Proof 3.6.

Suppose x0O satisfies Tx0[x0]Γl for some l. Then, construct a T-Picard sequence {xn} with starting point x0. It follows that a path exists {yi}i=0l where x0=y0,Tx0=yl and (yi1,yi)Σ(Γ) for i=1,2,,l. Given T as a (Γ,Γ)-fuzzy graphical ψ-contraction, the condition (FGψ1) ensures that (Tyi1,Tyi)Σ(Γ) for i=1,2,,l. Consequently, {Tyi}i=0l forms a path connecting Ty0=Tx0=x1 to Tyl=T2x0=x2 with length l, which establishes that x2[x1]Γl. Continue in similar manner, it can be derived that (Tnyi1,Tnyi)Σ(Γ) for i=1,2,,l. Accordingly, {Tnyi}i=0l forms a path connecting Tny0=Tnx0=xn to Tnyl=Tn+1x0=xn+1 with length l, which establishes that xn+1[xn]Γl for any n. Therefore, {xn} is considered Γ-termwise connected sequence.

As (Tnyi1,Tnyi)Σ(Γ) for i=1,2,,l and n, applying (FGψ2), it yield

MΓ(Tnyi1,Tnyi,t)ψ(MΓ(Tn1yi1,Tn1yi,t))

where t>0. Repeating argument above yield

MΓ(Tnyi1,Tnyi,t) ψ(MΓ(Tn1yi1,Tn1yi,t))
ψ2(MΓ(Tn2yi1,Tn2yi,t))
ψn(MΓ(yi1,yi,t)) (1)

over every t>0. Since sequence {xn} is a Γ-termwise connected, by applying (3.6) and (GFMS4𝑒𝑛𝑢𝑚𝑖), one obtains, for any n and t>0,

MΓ(xn,xn+1,t) =MΓ(Tny0,Tnyl,t)
MΓ(Tny0,Tny1,t)MΓ(Tny1,Tnyl,t)
MΓ(Tny0,Tny1,t)MΓ(Tny1,Tny2,t)MΓ(Tny2,Tnyl,t)
MΓ(Tny0,Tny1,t)MΓ(Tny1,Tny2,t)MΓ(Tnyl1,Tnyl,t)
ψn(MΓ(y0,y1,t))ψn(MΓ(y1,y2,t))ψn(MΓ(yl1,yl,t)).

Furthermore, due to the fact that sequence {xn} is considered Γ-termwise connected, it follows that for n,m satisfying m>n and t>0, we obtain

MΓ(xn,xm,t) MΓ(xn,xn+1,t)MΓ(xn+1,xm,t)
MΓ(xn,xn+1,t)MΓ(xn+1,xn+2,t)MΓ(xn+2,xm,t)
MΓ(xn,xn+1,t)MΓ(xn+1,xn+2,t)MΓ(xm1,xm,t)
[ψn(MΓ(y0,y1,t))ψn(MΓ(y1,y2,t))ψn(MΓ(yl1,yl,t))]
[ψn+1(MΓ(y0,y1,t))ψn+1(MΓ(y1,y2,t))ψn+1(MΓ(yl1,yl,t))]
[ψm1(MΓ(y0,y1,t))ψm1(MΓ(y1,y2,t))ψm1(MΓ(yl1,yl,t))].

Let n,m in the preceding inequality. Given that is continuous together with Lemma 3.1, it follows that

limn,mMΓ(xn,xm,t)=1.

As a result, {xn} is a Γ-termwise connected Cauchy sequence in O. Given that (O,MΓ,) is Γ-complete, the sequence {xn} converges to some ϖO. Employing condition (ii), there exists ϖO and n0 satisfying (xn,ϖ)Σ(Γ) or (ϖ,xn)Σ(Γ) over n>n0 and

limnMΓ(xn,ϖ,t)=1 whenever t>0.

Without the loss of generality, we consider (xn,ϖ)Σ(Γ) over all n>n0, as (ϖ,xn)Σ(Γ) can be treated in a similar manner. By (FGψ1), it follows that (xn+1,Tϖ)=(Txn,Tϖ)Σ(Γ) whenever n>n0. Now, applying (FGψ2), we yield

MΓ(xn+1,Tϖ,t)=MΓ(Txn,Tϖ,t)ψ(MΓ(xn,ϖ,t)), for all nn0.

As ψ(MΓ(xn,ϖ,t))>MΓ(xn,ϖ,t), the preceding inequality becomes

MΓ(xn+1,Tϖ,t)>MΓ(xn,ϖ,t), whenever nn0.

In view of limnMΓ(xn,ϖ,t)=1 for every t>0, taking n in the above inequality leads to

limnMΓ(xn+1,Tϖ,t)=1.

Therefore, {xn} also converges to TϖO. Accordingly, {xn} converges to both ϖ and Tϖ in O.

With the aid of the property defined below, the next result establishes the manifestation of a fixed point.

Definition 3.7.

Suppose (O,MΓ,) is a graphical fuzzy metric space, with Γ a subgraph of Γ, and T:OO is a self-mapping. Accordingly, (O,MΓ,,Γ,T) possess property (S), if any Γ-termwise connected T-Picard sequence {xn} possess limits ϖO and ϑTO, then ϖ=ϑ.

Theorem 3.8.

Suppose (O,MΓ,) is a Γ-complete non-Archimedean graphical fuzzy metric space and T:OO is (Γ,Γ)-fuzzy graphical ψ-contraction. Assume following conditions are satisfied:

  1. (i)

    there exists x0O satisfying Tx0[x0]Γl, for some l;

  2. (ii)

    if Γ-termwise connected T-Picard sequence {xn} converges to some xO, then limit xO and n0 exist satisfying (xn,x)Σ(Γ) or (x,xn)Σ(Γ) whenever nn0.

Consequently, there exists ϖO where the T-Picard sequence {xn} begins with x0O is Γ-termwise connected and converges to both ϖ,TϖO. In addition, (O,MΓ,,Γ,T) possess property (S) implies T possess at least one fixed point in O.

Proof 3.9.

It can be concluded from Theorem 3.5 that the T-Picard sequence {xn} begins with x0O converges to both ϖ and Tϖ in O. Clearly, ϖO and TϖTO. Consequently, by applying property (S), it leads to ϖ=Tϖ which verifies ϖ is fixed under T.

The example below demonstrates that Theorem 3.8 establishes sufficient conditions for the existence of a fixed point. Nevertheless, the uniqueness is not guarantee.

Example 3.10.

Suppose O=[0,) and Γ is a graph given by Ξ(Γ)=O and Σ(Γ)=Δ{(x,y)O×O:yx}. Fuzzy set MΓ:O×O×(0,)[0,1] is expressed as

MΓ(x,y,w)=exp{dΓ(x,y)w}, for all x,yO and w>0

where dΓ is defined as

dΓ(x,y)={(x+y)2,xy;0,otherwise.

Accordingly, (O,MΓ,m) constitutes a non-Archimedean graphical fuzzy metric space. Now, consider mapping T:O×O defined by

T(x)={x5,x[0,1);x5,x[1,).

Furthermore, define a mapping ψΨ by ψ(α)=α+12 for α[0,1], and Γ be a subgraph of Γ such that V(Γ)=O and Σ(Γ)=Δ{(x,y)[0,1)×[0,1):yx}. It then follows that (O,MΓ,m) is Γ-complete. The mapping T satisfies the conditions of a (Γ,Γ)-fuzzy graphical ψ-contraction (see Figure 2 for graphical visualization).

Refer to caption
Figure 2. Visualization of MΓ(Tx,Ty,t) (orange surface) and ψ(MΓ(x,y,t)) (blue surface) at t=5, illustrating that MΓ(Tx,Ty,t)ψ(MΓ(x,y,t)).

For any x0[0,1), it follows that Tx0[0,1) and Tx0x0. Therefore, (x0,Tx0)Σ(Γ), which implies Tx0[x0]Γ1. Therefore, there exists x0O such that Tx0[x0]Gl for some l. Moreover, any Γ-termwise connected T-Picard sequence {xn} in O is either constant (e.g., xn=1 for all n) or of the form xn=x05n, with x0[0,1), which converges to 1 and 0, respectively. Consequently, (1,1),(xn,0) are contained in Σ(Γ) for every n. It is easily seen that property (S) is satisfied. Therefore, all assumptions of Theorem 3.8 are satisfied. In particular, 0 and 1 are fixed points of mapping T. Moreover, there exists a path from 1 to 0, whereas no path exists from 0 to 1. Hence, the set {0,1} is not connected.

The collection of fixed points of a mapping T is expressed as Fix(T). Furthermore, notation OT is defined by OT={xO:(x,Tx)Σ(Γ)}. The result below provides a prerequisite for the uniqueness.

Theorem 3.11.

Suppose (O,MΓ,) is a Γ-complete non-Archimedean graphical fuzzy metric space and T:OO is (Γ,Γ)-fuzzy graphical ψ-contraction. Assuming Theorem 3.8 applies and OT, as a subgraph of Γ, is connected, then mapping T admits a unique fixed point.

Proof 3.12.

Theorem 3.8 ensures the existence of fixed point of T. Assume that OT is connected subgraph of Γ, and that ϖ,ϑ represents two separate fixed points of T. The fact that ΔΣ(Γ) validates Fix(T)OT and hence, ϖ,ϑOT. Since OT is connected, we deduce (ϖPϑ)G. Consequently, a sequence {xi}i=0l exists in which x0=ϖ,xl=ϑ and (xi1,xi)Σ(Γ) for i=1,2,,l.

Given that T is a (G,Γ)-graphical fuzzy ψ-contraction, by applying (FGψ1), we yield (Tnxi1,Tnxi)Σ(Γ) for i=1,2,,l and for each n. Henceforth, by applying (FGψ2), this yields

MΓ(Tnxi1,Tnxi,t) ψ(MΓ(Tn1xi1,Tn1xi,t))
ψ2(MΓ(Tn2xi1,Tn2xi,t))
ψn(MΓ(xi1,xi,t))

for i=1,2,,l and for each n. Applying (GFMS4𝑒𝑛𝑢𝑚𝑖), it leads to

MΓ(Tnϖ,Tnϑ,t) =MΓ(Tnx0,Tnxl,t)
MΓ(Tnx0,Tnx1,t)MΓ(Tnx1,Tnxl,t)
MΓ(Tnx0,Tnx1,t)MΓ(Tnx1,Tnx2,t)MΓ(Tnx2,Tnxl,t)
MΓ(Tnx0,Tnx1,t)MΓ(Tnx1,Tnx2,t)MΓ(Tnxl1,Tnxl,t)
ψn(MΓ(x0,x1,t))ψn(MΓ(x1,x2,t))ψn(MΓ(xl1,xl,t))

The fact that ϖ,ϑFix(T) indicates Tnϖ=ϖ and Tnϑ=ϑ. From the preceding inequality, by letting n and Lemma 3.1 it leads to

MΓ(ϖ,ϑ,t)=1 over each t>0.

Equivalently, ϖ=ϑ, leading to a contradiction with the initial assumption. Therefore, fixed point of T is unique.

Example below is presented to clarify the preceding findings.

Example 3.13.

Suppose O=(0,10] and Γ is a graph given by Ξ(Γ)=O and Σ(Γ)=Δ{(x,y)O×O:xy}. Fuzzy set MΓ:O×O×(0,)[0,1] is expressed as

MΓ(x,y,t)=min{x,y}max{x,y}, for all x,yO and t>0.

Accordingly, (O,MΓ,m) constitutes Γ-complete non-Archimedean graphical fuzzy metric space. Consider mapping T:O×O represented by

T(x)=3x+4.

In addition, let a mapping ψΨ be defined by ψ(α)=α for α[0,1] and Γ be a subgraph of Γ such that V(Γ)=O and Σ(Γ)=Σ(Γ).

Take any x,yO in which (x,y)Σ(Γ). This condition results in yx. Consequently,

Ty=3y+43x+4=Tx

which reveals that (Tx,Ty)Σ(Γ). Hence, condition (FGψ1) is fulfilled. Furthermore, given x,yO satisfying (x,y)Σ(Γ), both inequalities 3x+4x and 3y+4y holds. Thus, for every t>0, we obtain

min{3x+4,3y+4}max{3x+4,3y+4} min{x,y}max{x,y}
=min{x,y}max{x,y}
=min{x,y}max{x,y}.

Hence,

MΓ(Tx,Ty,t)=min{3x+4,3y+4}max{3x+4,3y+4}min{x,y}max{x,y}=ψ(M(x,y,t)),for all t>0

which verifies condition (FGψ2). Therefore, mapping T is qualified as a (Γ,Γ)-fuzzy graphical ψ-contraction. A graphical visualization of condition (FGψ2) is illustrated in Figure 3.

Refer to caption
Figure 3. Visualization of MΓ(Tx,Ty,t) (orange surface) and ψ(MΓ(x,y,t)) (blue surface), illustrating that MΓ(Tx,Ty,t)ψ(MΓ(x,y,t)).

Next, take arbitrary x04. Then, (x0,Tx0)Σ(Γ), which implies Tx0[x0]Γ1. Therefore, x0O exists where Tx0[x0]Gl for some l. In addition, consider a T-Picard sequence {xn} begins from such an element x0. It follows that {xn} is Γ-termwise connected and converges to some ϖO. For this particular choice of x0, it can be observed that for each ϖO, one can find n0 such that either (xn,x)Σ(Γ) or (x,xn)Σ(Γ) at time t for all nn0. For instance, by choosing x0=7, one can verify that condition (ii) holds (see Table 1). Moreover, observe that (O,MΓ,,Γ,T) possess property (S) and OT is connected. Consequently, all assumptions of Theorem 3.11 are met. In particular, 4 fits as the unique fixed point of mapping T.

n xn
0 7.000000
1 5.000000
2 4.358899
3 4.132396
13 4.000007
14 4.000003
15 4.000001
998 4.000000
999 4.000000
1000 4.000000
Table 1. The sequence xn with initial value x0=7. As n, it is observed that xn4.

To end this section, some existing findings in the literature that follows directly from our main findings when extended into non-Archimedean graphical fuzzy metric setting are analyzed. To begin with, the extension of the work by Gregori and Sapena [20] is considered.

Definition 3.14.

Let (O,MΓ,) be graphical fuzzy metric space, T:OO be mapping and Γ be subgraph of Γ with ΔΣ(Γ). Consequently, the mapping T is said to be a (Γ,Γ)-fuzzy graphical contractive mapping on O if conditions below are satisfied:

  1. (GC1)

    Mapping T is edge preserving in Σ(Γ), specifically, (x,y)Σ(Γ) implies (Tx,Ty)Σ(Γ);

  2. (GC2)

    There is k(0,1) in which every x,yO satisfying (x,y)Σ(Γ),

    1M(Tx,Ty,t)1k(1M(x,y,t)1) for all t>0. (2)
Corollary 3.15.

Suppose (O,MΓ,) is a Γ-complete non-Archimedean graphical fuzzy metric space and T:OO is a (Γ,Γ)-fuzzy graphical contractive mapping. Assume conditions below hold:

  1. (i)

    there exists x0O satisfying Tx0[x0]Γl for some l;

  2. (ii)

    if a Γ-termwise connected T-Picard sequence {xn} converges to some xO, then limit xO and n0 exist satisfying (xn,x)Σ(Γ) or (x,xn)Σ(Γ) for all nn0;

Consequently, there exists ϖO where the T-Picard sequence {xn} begins with x0O is Γ-termwise connected and converges to both ϖ and Tϖ in O.

Proof 3.16.

Consider a mapping ψΨ expressed by

ψ(t)=tt+k(1t),

then it immediately follows from Theorem 3.5.

In view of the preceding corollary, subsequent findings on existence and uniqueness of fixed points can be established by analogous reasoning from Theorem 3.8 and Theorem 3.11.

Corollary 3.17.

Suppose (O,MΓ,) is a Γ-complete non-Archimedean graphical fuzzy metric space and T:OO is a (Γ,Γ)-fuzzy graphical contractive mapping. Assume conditions below hold:

  1. (i)

    there exists x0O satisfying Tx0[x0]Γl, for some l;

  2. (ii)

    if a Γ-termwise connected T-Picard sequence {xn} converges to some xO, then limit xO and n0 exist satifying (xn,x)Σ(Γ) or (x,xn)Σ(Γ) for all nn0.

Consequently, there exists ϖO where the T-Picard sequence {xn} begins with x0O is Γ-termwise connected and converges to both ϖ and Tϖ in O. Moreover, if (O,MΓ,,Γ,T) possess property (S), then T possess at least one fixed point in O.

Corollary 3.18.

Suppose (O,MΓ,) is a Γ-complete non-Archimedean graphical fuzzy metric space and T:OO is a (Γ,Γ)-fuzzy graphical contractive mapping. Assuming Corollary 3.17 applies and OT, as a subgraph of Γ, is connected, then mapping T admits a unique fixed point.

Remark 3.19.

The original work of Mihet [29] was carried out in the framework of non-Archimedean fuzzy metric spaces. It was later addressed by Wang [48], who demonstrated that the results remain valid when non-Archimedean fuzzy metric spaces are replaced by fuzzy metric spaces. Therefore, taking Remark 2.9 into consideration, the following corollary can be deduced.

Corollary 3.20 ([48]).

Let (O,M,) be a complete fuzzy metric space. Suppose that T:OO is a fuzzy ψ-contractive mapping. Consequently, mapping T admits a unique fixed point.

Proof 3.21.

Following Remark 2.9, the graphs Γ and Γ are defined by Ξ(Γ)=V(Γ)=O and Σ(Γ)=Σ(Γ)=O×O. This construction results in graphical fuzzy metric space. Therefore, conditions of Theorem 3.11 are met, and the assertion holds.

Remark 3.22.

Wardowski [50] proposed a new contractive condition in fuzzy metric spaces by introducing fuzzy H-contractive mappings. More precisely, the class H contains the mappings η:(0,1][0,} where η transforms (0,1] onto [0,) and strictly decreasing. However, Gregori and Miñana [17] established that fuzzy H-contractive mappings are contained within the class of fuzzy ψ-contractive mappings. On the basis of this observation, the subsequent results are derived.

Corollary 3.23 ([50]).

Let (O,M,) be a complete fuzzy metric space. Suppose that T:OO is a fuzzy H-contractive mapping with respect to ηH such that

η(M(Tx,Ty,t))kη(M(x,y,t))

for all x,yO and t>0, where k(0,1). Consequently, the mapping T admits a unique fixed point.

Proof 3.24.

Graphs Γ and Γ are defined by Ξ(Γ)=V(Γ)=O and Σ(Γ)=Σ(Γ)=O×O, and mapping ψ is defined by

ψ(t)=η1(kη(t)).

In this setting, it immediately follows from Theorem 3.11.

Corollary 3.25 ([20]).

Let (O,M,) be a complete fuzzy metric space. Assume T:OO is a mapping such that

1M(Tx,Ty,t)1k(1M(x,y,t)1)

for all x,yO and t>0, with k(0,1). Consequently, the mapping T admits a unique fixed point.

4. Employing Fixed Point Technique to Establish Solutions of Nonlinear Fractional Differential Equations

Fixed point analysis and fractional calculus have become imperative and intertwined with each other in mathematical modelling, especially in practical investigations in nonlinear sciences and engineering over the past years. The former has been frequently applied to examine the existence and uniqueness of solutions for multiple forms of differential and integral equations [55], while the latter serves as an enlargement of classical calculus. In classical calculus, integrals and derivatives are limited to positive integer orders. Although this methodology has proven effective in modelling certain natural phenomena and real-life applications, the increasing complexity of systems arising from the scientific and technological developments has prompted the search for new approaches to deliver more reliable results [51].

Fractional calculus extends integrals and derivatives to arbitrary real (including fractional) orders, thereby allowing the effective modelling of complex mathematical problems. In view of the advantages of fractional-order models over their integer-order counterparts in enhancing reliability and precision, considerable attention has been directed toward their numerical study. Fractional calculus has now been widely adopted across various scientific and engineering disciplines, such as physics, biology, mathematical oncology, chemistry, economics, image processing, and electronics [2, 3, 28, 30, 45, 46, 54].

Recently, fixed point techniques were utilized to explore the existence and uniqueness of solutions for fractional differential equations [1, 9, 14, 21, 22, 47, 49]. Inspired by the study in [57], this section aims to apply the obtained result to prove the existence and uniqueness of solutions for the following nonlinear fractional differential equation:

D0+py(t)=g(t,y(t)),t[0,1] (3)

subject to the boundary conditions

y(0) =y(0),
y(1) =y(1),

where 1<p2 is the fractional order, D0+p represents the Caputo fractional derivative of order p, and g:[0,1]×[0,)[0,) is a continuous function.

Suppose O=C([0,1],) is the space of all continuous function defined on [0,1] to . Consider graphs Γ and Γ such that Γ=Γ, Ξ(Γ)=O and

Σ(Γ)=Δ{(x,y)O×O:x(t)y(t) for all t[0,1]}.

Let graphical metric dΓ:O×O defined as dΓ(x,y)=supt[0,1]|x(t)y(t)| for all x,yO. Accordingly, a graphical fuzzy metric MΓ:O×O×(0,)[0,1] is defined by

MΓ(x,y,w)=exp{dΓ(x,y)w}

for all x,yO and w>0. It is straightforward to establish that (O,MΓ,p) is a Γ-complete graphical fuzzy metric space where p is a product t-norm.

Observe that the nonlinear fractional differential equation (3) is equivalent to integral equation below:

y(t) =1Γ(p)01(1s)p1(1t)g(s,y(s))𝑑s+1Γ(p1)01(1s)p2(1t)g(s,y(s))𝑑s (4)
+1Γ(p)0t(ts)p1g(s,y(s))𝑑s

where Γ(p) is a Gamma function. This implies for any yO which solves the integral equation (4) also serves as a solution for the fractional differential equation (3). The presence and the distinctness of a solution for (3) is demonstrated in the next theorem.

Theorem 4.1.

Let (O,MΓ,p) be a Γ-complete graphical fuzzy metric space defined as above. Assume T:OO to be an integral operator defined by:

Ty(t) =1Γ(p)01(1s)p1(1t)g(s,y(s))𝑑s+1Γ(p1)01(1s)p2(1t)g(s,y(s))𝑑s
+1Γ(p)0t(ts)p1g(s,y(s))𝑑s

where t[0,1] and the function g:[0,1]×[0,)[0,) is continuous. Suppose that conditions below hold:

  1. (i)

    For all x,yO and s[0,1],

    |g(s,x(s))g(s,y(s))||x(s)y(s)|2;
  2. (ii)

    For t[0,1] and 1<p2,

    supt[0,1]12[1tΓ(p+1)+1tΓ(p)+tpΓ(p+1)]=κ<1.

Then, the nonlinear fractional differential equation (3) possess a unique solution in O.

Proof 4.2.

Consider a mapping ψΨ defined by ψ(a)=aκ for a[0,1] and κ<1. For any x,yO such that (x,y)Σ(Γ) and t[0,1], we have

|Tx(t)Ty(t)| =|(1Γ(p)01(1s)p1(1t)g(s,x(s))ds+1Γ(p1)01(1s)p2(1t)g(s,x(s))ds
+1Γ(p)0t(ts)p1g(s,x(s))ds)(1Γ(p)01(1s)p1(1t)g(s,y(s))ds
+1Γ(p1)01(1s)p2(1t)g(s,y(s))ds+1Γ(p)0t(ts)p1g(s,y(s))ds)|
=|1tΓ(p)01(1s)p1[g(s,x(s))g(s,y(s))]ds+1tΓ(p1)01(1s)p2[g(s,x(s))
g(s,y(s))]ds+1Γ(p)t0(ts)p1[g(s,x(s))g(s,y(s))]ds|
1tΓ(p)01(1s)p1|g(s,x(s))g(s,y(s))|𝑑s+1tΓ(p1)01(1s)p2|g(s,x(s))
g(s,y(s))|ds+1Γ(p)0t(ts)p1|g(s,x(s))g(s,y(s))|ds
1tΓ(p)01(1s)p1|x(s)y(s)|2𝑑s+1tΓ(p1)01(1s)p2|x(s)y(s)|2𝑑s
+1Γ(p)0t(ts)p1|x(s)y(s)|2𝑑s
1tΓ(p)01(1s)p1supt[0,1]|x(t)y(t)|2ds+1tΓ(p1)01(1s)p2supt[0,1]|x(t)y(t)|2ds
+1Γ(p)0t(ts)p1supt[0,1]|x(t)y(t)|2ds
=supt[0,1]|x(t)y(t)|2[1tΓ(p)01(1s)p1ds+1tΓ(p1)01(1s)p2ds
+1Γ(p)0t(ts)p1ds]
=supt[0,1]|x(t)y(t)|2[1tpΓ(p)+1t(p1)Γ(p1)+tppΓ(p)]
=12supt[0,1]|x(t)y(t)|[1tΓ(p+1)+1tΓ(p)+tpΓ(p+1)]
supt[0,1]|x(t)y(t)|supt[0,1]12[1tΓ(p+1)+1tΓ(p)+tpΓ(p+1)]
=supt[0,1]κ|x(t)y(t)|,

where

κ=supt[0,1]12[1tΓ(p+1)+1tΓ(p)+tpΓ(p+1)].

From the above inequality, we can deduce that, for any x,yO satisfying (x,y)Σ(Γ), t[0,1] and w>0,

supt[0,1]|Tx(t)Ty(t)| supt[0,1]κ|x(t)y(t)|
supt[0,1]|Tx(t)Ty(t)| supt[0,1]κ|x(t)y(t)|
supt[0,1]|Tx(t)Ty(t)|w supt[0,1]κ|x(t)y(t)|w
exp{supt[0,1]|Tx(t)Ty(t)|w} exp{supt[0,1]κ|x(t)y(t)|w}
exp{dΓ(Tx,Ty)w} exp{κdΓ(x,y)w}.

Therefore, we reach the conclusion that

MΓ(Tx,Ty,w)=exp{dΓ(Tx,Ty)w}exp{κdΓ(x,y)w}=[exp{dΓ(x,y)w}]κ=ψ(MΓ(x,y,w)).

Consequently, the mapping T is (Γ,Γ)-fuzzy graphical ψ-contraction. The rest of the assumptions in Theorem 3.11 can be verified accordingly. Hence, a fixed point ϖO of integral operator T exists, which proves the existence and the uniqueness of a solution for the nonlinear fractional differential equation (3).

5. Conclusion

In this manuscript, fuzzy graphical ψ-contractions in graphical fuzzy metric spaces are introduced. In this structure, fixed point results for such a contractive condition are established accompanied by supporting examples. The generality of the obtained results is discussed with reference to earlier findings in the literature. Furthermore, an application of the obtained results to nonlinear fractional differential equations is presented to demonstrate their potential applicability to suitable real-world problems.

The interplay between fixed point theory and graph theory constitutes a powerful avenue for exploring mathematical problems and applications. In recent years, the investigation of best proximity point theory under various graphical metric structures is beginning to develop; for example, see [11], [12], [27], [37]. Thus, a natural continuation of this study is the expansion to best proximity point theory, which also provides broader coverage for applications in fractional calculus to address real world phenomena in science and engineering.

The class of contractive mapping proposed in this work can be viewed as a particular member of a broader class of mappings. Notably, in a recent study, Shukla et al. [43] presented a new class of mappings, namely, fuzzy Z-contractive mappings under fuzzy metric spaces. They demonstrated that this class is more general and includes several other classes, including fuzzy ψ-contractive mappings. Thus, investigating the connection between fuzzy Z-contractive mappings and fuzzy ψ-contractive mappings within graphical fuzzy metric spaces opens a new direction for continued research.

Fixed point theory is not confined to metric structures and can be developed within different frameworks, for example L-fuzzy topological spaces [35], non-Archimedean Lie C-algebras [6] and intuitionistic fuzzy normed spaces [36]. Examining the connections between present results across different structures contributes to a profound understanding in this area. Moreover, the application and analysis of these results in fuzzy analysis and stability theory offers a promising direction for future research.

Drawing from the above conclusions, this paper concludes by presenting several open problems:

  1. (1)

    In the current underlying space, is it possible to study fuzzy graphical ψ-proximal contractions and establish their best proximity point results?

  2. (2)

    Wihin the framework of graphical fuzzy metric spaces, can the property (S) be substituted with an alternative condition for establishing the existence of fixed points?

  3. (3)

    Can the non-Archimedean property be substituted by a novel definition of Cauchyness in graphical fuzzy metric space?

  4. (4)

    How can the class of fuzzy graphical Z contractions be defined and what are their corresponding fixed point results in the graphical fuzzy metric structure?

  5. (5)

    Can analogous ψ-contractive arguments be applied in intuitionistic fuzzy normed spaces?

Acknowledgements.
The author expresses sincere appreciation to the anonymous referees for their thoughtful comments and constructive recommendations, which have greatly improved the presentation of this manuscript. The author also gratefully acknowledges Universiti Malaysia Terengganu for the financial support provided.
Funding.
Financial support for this work was provided by Universiti Malaysia Terengganu via the Interdisciplinary Impact Driven Research Grant (ID2RG) 2024, vote no. 55516.
Author contributions.
Conceptualization K.S.W. and Z.S.; investigation, K.S.W. and D.G.; writing—original draft preparation, K.S.W.; writing—review and editing, K.S.W., Z.S. and D.G.; visualization, K.S.W.; supervision, Z.S.; project administration, Z.S.; funding acquisition, Z.S.. All authors have read and agreed to the published version of the manuscript.

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