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Some convergence results in modular spaces with application to a system of integral equations

  • The paper aimed to achieve three primary objectives. First, it introduced significant common fixed point results in the context of newly proposed partial modular bmetric spaces, thus contributing to the advancement of this field. Second, it presented unique results using a direct approach that did not depend on the strong continuity of the mapping, thereby offering a valuable perspective. Finally, it applied previously established convergence techniques to determine a common solution for a system of Fredholm integral equations, demonstrating the practical implications of the theoretical findings.

    Citation: Abdurrahman Büyükkaya, Mudasir Younis, Dilek Kesik, Mahpeyker Öztürk. Some convergence results in modular spaces with application to a system of integral equations[J]. AIMS Mathematics, 2024, 9(11): 31030-31056. doi: 10.3934/math.20241497

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  • The paper aimed to achieve three primary objectives. First, it introduced significant common fixed point results in the context of newly proposed partial modular bmetric spaces, thus contributing to the advancement of this field. Second, it presented unique results using a direct approach that did not depend on the strong continuity of the mapping, thereby offering a valuable perspective. Finally, it applied previously established convergence techniques to determine a common solution for a system of Fredholm integral equations, demonstrating the practical implications of the theoretical findings.



    The field of metric fixed point theory, denoted as (FP), holds significant relevance for the mathematical research community and scholarly discourse. The foundational work of S. Banach, particularly the introduction of the Banach contraction principle in his doctoral dissertation [1], stands as a seminal contribution within this domain. This significant result has not only been the foundation for several developments in fixed point theory, but it has also been the impetus for a wide variety of generalizations and novel adaptations to the idea of contraction maps [2].

    Fixed point theory, a cornerstone of contemporary mathematical sciences, is characterized by its dynamic evolution and the vibrancy of its research community. This field, rooted in rich foundational principles and methodological innovations, extends its influence far beyond its initial mathematical confines, offering broad applications across a multitude of disciplines. The versatility and utility of fixed point theory's methodological approaches render it an indispensable tool for tackling complex problem-solving tasks within myriad mathematical contexts. Its capacity to bridge theoretical and practical aspects across diverse areas underscores its pivotal role in advancing both the understanding and application of mathematical principles; see [3,4,5,6].

    Moreover, the study of metric spaces, symbolized as (MS), occupies a central position in the realm of mathematical analysis and its wide-ranging applications, as evidenced by references such as [7,8,9,10]. This concept has undergone substantial refinement and expansion, with scholars broadening the scope of MS to encompass more abstract spaces, thus enhancing its applicability across diverse domains. Notably, the introduction of bMS, initially proposed by Bakhtin [11], represents a significant extension in this direction. Bakhtin's definition of the bmetric function has garnered widespread acceptance and has been subject to extensive development by researchers such as Czerwik [12,13], thereby enriching the theoretical landscape of metric fixed point theory. A bmetric function differs from a typical metric function by relaxing the triangle inequality to a more general form, as seen below:

    b(λ,)ρ[b(λ,z)+b(z,)].

    In this definition, the function b:X×X[0,) is regarded a bmetric on the set X, where ρ is a positive real number (1) and the pair (X,b) defines a bMS. Upon the condition ρ=1, the conceptualizations of a bmetric and the canonical metric converge, thereby suggesting that the bmetric framework serves as an expansion of the conventional MS. On the other hand, unlike its canonical counterpart, the bmetric formulation does not always display continuity, even though the canonical metric does. This augmentation facilitates the exploration of MS within realms of increased complexity or abstraction.

    In the seminal work of Matthews, a groundbreaking concept of partial MS was introduced, which built upon and extended the foundational principles of denotational semantics within computer languages [14]. This innovative framework diverges from the conventional understanding of MS through its utilization of a partial metric that allows for nonzero self-distances, thereby broadening the scope for mathematical analysis and practical application. It is important to note that while traditional MS configurations can be considered as special cases of partial MS (wherein self-distances are uniformly zero), the incorporation of nonzero self-distances significantly enriches the versatility and adaptability of this conceptual model across a diverse spectrum of computational and theoretical domains [15,16]. This nuanced extension offers a more comprehensive and flexible approach, paving the way for enhanced computational and theoretical explorations in various domains.

    In their pivotal work published in 2014, Mustafa et al. [17] proposed a pioneering advancement in the MS framework by introducing the concept of partial bmetrics. This novel distance function not only incorporates the fundamental principles of partial metrics and bmetrics but also extends the existing theoretical framework. Moreover, the authors went on to establish a robust analogue to the Banach contraction principle within these spaces, which represents a significant theoretical development and has the potential to enrich the field of study further.

    Definition 1.1. [17] A partial bmetric on a nonempty set X is a mapping pb:X×X[0,) such that for all λ,,zX, which fulfills the subsequent circumstances:

    (pb1) pb(λ,λ)=pb(,)=pb(λ,)λ=,

    (pb2) pb(λ,λ)pb(λ,),

    (pb3) pb(λ,)=pb(,λ),

    (pb4) pb(λ,)ρ[pb(λ,z)+pb(z,)pb(z,z)]+(1ρ2)(pb(λ,λ)pb(,)).

    A partial bmetric is a pair (X,pb) such that X is a nonempty set and pb is a partial bmetric on X. The number ρ1 is called the coefficient of (X,pb).

    In the inspiring work by Shukla [18], a pivotal modification was proposed to the triangle property inherent to partial bmetric spaces. This modification was meticulously designed to ensure that every partial bmetric space is associated with a corresponding bmetric space. Through this innovative approach, Shukla not only established a comprehensive convergence criterion but also delineated a set of operational guidelines within the framework of partial bMS. This breakthrough significantly enhances our comprehension of metric spaces and extends the utility of bmetrics across various domains in mathematical analysis and adjacent fields (see [19]). The proposed convergence criterion and operational guidelines offer a sophisticated framework for examining partial bmetric spaces, thereby facilitating further advancements in this intricate area of mathematical research. Definition 1.1 has been modified in [18] by considering the following condition instead of (pb4): (pb4) for all λ,,zX:

    pb(λ,)ρ[pb(λ,z)+pb(z,)]pb(z,z).

    As ρ1, from (pb4) we have

    pb(λ,)ρ[pb(λ,z)+pb(z,)pb(z,z)]ρ[pb(λ,z)+pb(z,)]pb(z,z).

    Remark 1. If λ,X and pb(λ,)=0, then λ=, but the converse may not be true. The notion of partial bmetric and partial metric coincide in the case of ρ=1. Moreover, a partial bmetric on X is neither a partial metric nor a bmetric. As far as we understand, a partial bMS includes the set of a bMS and partial MS.

    In 2006, Chistyakov [20] pioneered the introduction of the concept of a modular metric on an arbitrary set. This innovative metric represents a significant departure from classical metrics, offering a novel framework for quantifying distances between elements within a set that boasts greater flexibility and versatility. Furthermore, Chistyakov embarked on the formulation of the corresponding modular space, presenting a paradigm that encompasses a more extensive array of structures in contrast to the conventional mathematical structure MS. Building on this foundational premise, Chistyakov, in subsequent research conducted in 2010, made substantial strides in the advancement of the theory of modular MS. This research phase was principally centered on exploring spaces constituted by such modular metrics. The contributions made through this line of inquiry have significantly facilitated a profound comprehension of modular metric spaces, alongside fostering their application in various domains.

    In 2018, Ege and Alaca [7] introduced the notion of modular bMS as follows:

    Definition 1.2. [7] Let X. A function ω:(0,)×X×X[0,], defined by ω(λ,λ,)=ωλ(λ,), is called a modular bmetric on X if it satisfies the following statements for all λ,,zX, λ,μ>0:

    (ω1) ωλ(λ,)=0 for all λ>0 λ=,

    (ω2) ωλ(λ,)=ωλ(,λ) for all λ>0,

    (ω3) there exists ρ1 such that

    ωλ+μ(λ,)ρ[ωλ(λ,z)+ωμ(z,)].

    Modular MS can be achieved from modular bMS in the case of ρ=1. Also, the set

    Xω(λ0)={λX:λ>0suchthatωλ(λ,λ0)<}

    is mentioned as modular bMS (around λ0). For further synthesis, we refer the reader to [21,22,23,24].

    In 2010, the concept of partial modular MS was introduced by Hosseinzadeh and Parvaneh [25] as a combination of partial MS and modular MS.

    In 2023, Kesik et al. [26] made a significant contribution to the field of topology by proposing the concept of the partial modular bmetric function. This novel concept represents a synthesis of the principles underlying partiality, modularity, and the bmetric framework. By doing so, they have not only introduced a new perspective but have also delineated several results that explicate the topological properties intrinsic to this innovative space. This development marks a notable advancement in the understanding and application of topological structures, providing a foundation for further explorations and applications within the domain.

    Definition 1.3. [26] Let X be a non-void set and ρ1 be a real number. A mapping ϖpb:(0,)×X×X[0,] is called a partial modular bmetric (briefly PMbM) on X if the following conditions hold for all λ,,zX,

    (ϖpb1) ϖpbλ(λ,λ)=ϖpbμ(λ,λ) and ϖpbλ(λ,λ)=ϖpbλ(,)=ϖpbλ(λ,)λ=,

    (ϖpb2) ϖpbλ(λ,λ)ϖpbλ(λ,), for all λ>0,

    (ϖpb3) ϖpbλ(λ,)=ϖpbλ(,λ), for all λ>0,

    (ϖpb4) ϖpbλ+μ(λ,)ρ[ϖpbλ(λ,z)+ϖpbμ(z,)]ϖpbλ(z,z), for all λ,μ>0.

    Then, (X,ϖpbλ)=Xϖpb is called a partial modular bMS which indicates PMbMS.

    Definition 1.4. [26] Let ϖpb be a PMbM on a set X. For given λ0X, we define

    Xϖpb(λ0)={λX:limλϖpbλ(λ0,λ)=c}, for some c0 and

    Xϖpb(λ0)={λX:λ=λ(λ)>0,ϖpbλ(λ0,λ)<}.

    Then, two sets Xϖpb and Xϖpb are called PMbMS centered at λ0.

    It is clear that a partial modular MS and PMbMS coincide in the case of ρ=1, and every modular bMS is a PMbMS with the same coefficient and zero self-distance. However, the converse of these facts need not hold in general.

    Because a PMbM is a partial modular when ρ=1, the PMbMS class is more significant than that of partial modular MS.

    Now, we derive different examples, which evidently hold the conditions of this newly enunciated generalized MS.

    Example 1.5. Let X=R and ϖpb:(0,)×X×X[0,] be defined by, for all λ,X,

    ϖpbλ(λ,)=eλ|λ|2+|λ|+||,λ>0.

    Then, ϖpb is a PMbM on X with the coefficient ρ=2.

    Example 1.6. Let X=R and ϖpb:(0,)×X×X[0,] be defined by for all λ,X

    ϖpbλ(λ,)=|λ|2λ+|λ|2,λ>0.

    Then, ϖpb is a PMbM on X with the coefficient ρ=2.

    To get acquainted with different notions and concepts within the structure of PMbMS, such as completeness, convergence, etc., we refer to [26].

    Lemma 1.7. [26] Let ϖpb be a PMbM on a nonempty set X. Define

    ωλ(λ,)=2ϖpbλ(λ,)ϖpbλ(λ,λ)ϖpbλ(,). (1.1)

    Then, ω is a modular bmetric on X.

    Lemma 1.8. [26] Let ϖpb be a PMbM on X and {λϱ}ρN be a sequence in Xϖpb. Then:

    (i) {λϱ}nN is a ϖpbCauchy sequence in the PMbMS Xϖpb it is an ωCauchy sequence in modular bMS Xω induced by PMbMS ϖpb.

    (ii) A PMbMS Xϖpb is ϖpbcomplete the modular bMS Xω induced by PMbMS ϖpb is ωcomplete. Furthermore,

    limnωλ(λϱ,λ)=0limn[2ϖpbλ(λϱ,λ)ϖpbλ(λϱ,λϱ)ϖpbλ(λ,λ)]=0.

    (iii) {λϱ}ρN is called ϖpbconvergent to λXϖpb limnϖpbλ(λϱ,λ)=limn,mϖpbλ(λϱ,λm)=ϖpbλ(λ,λ),λ>0, as n.

    During the subsequent analysis, we employed auxiliary functions to get a broader range of outcomes in the field of fixed point theory. Proinov [27] recently presented a new fixed point theorem by adding auxiliary functions. This theorem has led to the discovery of several significant findings.

    Theorem 1.9. [27] Let G:XX be a self-map on a complete MS (X,d). Presume that λ,X, d(Gλ,G)>0, and the following condition

    (d(Gλ,G))Γ(d(λ,))

    is met, where ,Γ:(0,)R are two functions that fulfill the below axioms:

    (1) is nondecreasing,

    (2)Γ()<() for all >0,

    (3)limsup0+Γ()<(0+) for any 0>0.

    Then, G is called a Proinov type contraction and admits a unique fixed point (UFP).

    Because of its diverse applications, several FP results, including the Proinov type contraction, may be found in the literature; see, for instance, the noteworthy articles [28,29,30,31].

    On the other hand, in 2009, Suzuki [32] proved the below theorem and, subsequently, it was mentioned as a Suzuki type contraction.

    Theorem 1.10. [32] Let G:XX be a self-map on a compact MS (X,d). If the expression

    12d(λ,Gλ)<d(λ,)d(Gλ,G)<d(λ,)

    is satisfied for all distinct λ,X, then G owns a UFP.

    Motivated by the diverse applications of Proinov type FP results and keeping in view the applicability and adaptability of PMbMS in various computational and theoretical contexts, in this article, we articulate Suzuki-type contraction and Proinov-type contraction in the realm of PMbMS. We provide an illustrative example to uphold our results with an application to a system of Fredholm integral equations.

    This section is devoted to enunciating some novel common FP in the realm of partial-modular MS. In order to demonstrate the subsequent FP outcomes in the sequel, two requirements must be met:

    (Ξ1)ϖpbλ(λ,Gλ)< for all λ>0 where λXϖpb.

    (Ξ2) ϖpbλ(λ,)< for all λ>0 where λ,Xϖpb.

    Now, we establish some common FP theorems considering Suzuki contraction and Proinov type contraction in the context of PMbMS.

    Theorem 2.1. Let Xϖpb be a ϖpbcomplete PMbMS with ρ1 and G,R:XϖpbXϖpb be self-maps. If the underneath axioms are contended:

    (i) For all λ,Xϖpb and all λ>0 with ϖpbλ(Gλ,RG)>0 such that

    12ρmin{ϖpbλ(λ,Gλ),ϖpbλ(G,RG)}ϖpbλ(λ,G)

    implies

    (ρ3ϖpbλ(Gλ,RG))Γ(χ(ϖpbλ(λ,G))max{ϖpbλ(λ,G),ϖpbλ(λ,Gλ),ϖpbλ(G,RG),ϖpb2λ(λ,RG)+ϖpb2λ(G,Gλ)2ρ}), (2.1)

    where χ:ˉPR+ is upper semicontinuous on ˉP:={ϖpbλ(λ,):λ,Xϖpb}, χ(t)<t for each tˉP, and the functions ,Γ:(0,)R are fulfill the following circumstances:

    (c1) is lower semicontinuous and nondecreasing;

    (c2)Γ()<() for all >0;

    (c3)limsup0+Γ()<(0+) for any 0>0.

    (ii) The mapping G is continuous.

    So, G and R own a common FP provided that the (Ξ1) is met. Furthermore, by (Ξ2), G and R possess a common UFP.

    Proof. Let λ0Xϖpb. Then, there exists λ1Xϖpb such that λ1=Gλ0. Likewise, there exists λ2Xϖpb such that λ2=Rλ1. By proceeding in this line, we constitute a sequence {λϱ}ϱN in Xϖpb featured

    λ2ϱ+1=Gλ2ϱandλ2ϱ+2=Rλ2ϱ+1.

    Presume that ϖpbλ(λϱ,λϱ+1)=0 for some ϱN and for all λ>0. Without loss of generality, if we consider ϱ=2k for some kN, then we achieve ϖpbλ(λ2k,λ2k+1)=0 for all λ>0. So, assume that ϖpbλ(λ2k+1,λ2k+2)>0, and we have

    12ρmin{ϖpbλ(λ2k,Gλ2k),ϖpbλ(Gλ2k,RGλ2k)}ϖpbλ(λ2k,Gλ2k),

    which implies, by (2.1), that

    (ρ3ϖpbλ(Gλ2k,RGλ2k))Γ(χ(ϖpbλ(λ2k,Gλ2k))max{ϖpbλ(λ2k,Gλ2k),ϖpbλ(λ2k,Gλ2k),ϖpbλ(Gλ2k,RGλ2k),ϖpb2λ(λ2k,RGλ2k)+ϖpb2λ(Gλ2k,Gλ2k)2ρ}).

    Let ηk=ϖpbλ(λk,λk+1). Thereby, the above inequality becomes

    (ρ3η2k+1)Γ(χ(η2k)max{η2k,η2k+1,ϖpb2λ(λ2k,λ2k+2)+ϖpb2λ(λ2k+1,λ2k+1)2ρ}).

    Utilizing the fact that ϖpb2λ(λ2k,λ2k+2)ρ(η2k+η2k+1) and since η2k=ϖpbλ(λ2k,λ2k+1)=0, we achieve

    max{0,η2k+1,η2k+12}=η2k+1.

    Hence, by using (c2), we conclude that

    (ρ3η2k+1)Γ(χ(0)η2k+1)<(χ(0)η2k+1).

    Considering the property of (c2), we get

    η2k+1ρ3η2k+1<χ(0)η2k+1,

    which causes a contradictory situation because of χ(0)<1.

    Consequently, we procure η2k+1=0, i.e., λ2k+1=λ2k+2. Thus, λ2k=λ2k+1=λ2k+2 and λ2k=Gλ2k=Rλ2k are met and this results in λ2k being a common FP of G and R. Henceforth, we also assume that λϱλϱ+1. Hence, taking into consideration the above fact, by (2.1) and (c2), we arrive at

    (ρ3η2ϱ+1)Γ(χ(η2ϱ)max{η2ϱ,η2ϱ,η2ϱ+1,η2ϱ+η2ϱ+12})=Γ(χ(η2ϱ)max{η2ϱ,η2ϱ+1})<(χ(η2ϱ)max{η2ϱ,η2ϱ+1}).

    Also, taking the properties of into account, the above inequality turns into

    ρ3η2ϱ+1<χ(η2ϱ)max{η2ϱ,η2ϱ+1}. (2.2)

    If max{η2ϱ,η2ϱ+1}=η2ϱ+1, then (2.2) becomes

    η2ϱ+1ρ3η2ϱ+1<χ(η2ϱ)η2ϱ+1<η2ϱ+1,

    and this causes a contradiction. Then, max{η2ϱ,η2ϱ+1} must be equal to η2ϱ. Hence, from (2.2), we achieve

    (η2ϱ+1)(ρ3η2ϱ+1)Γ(χ(η2ϱ)η2ϱ)<(χ(η2ϱ)η2ϱ), (2.3)

    for all ϱN. Again, by considering the property (c1), the inequality (2.3) becomes

    η2ϱ+1<χ(η2ϱ)η2ϱ<η2ϱ.

    Similarly, one can conclude that η2ϱ<η2ϱ1. Thereby, we guarantee that {ηϱ}ϱN={ϖpbλ(λϱ,λϱ+1)}ϱN is a nonincreasing sequence of nonnegative real numbers. Also, a similar consequence can be obtained when k is an odd number. Then, there exists p0 such that limϱηϱ=p. Assume, on the contrary, we aim to demonstrate that p>0. Then, by (2.3), we have

    (p)=limϱ(η2ϱ+1)limsupϱΓ(χ(η2ϱ)η2ϱ)<limsupp(χ())limsupp(),

    such that this contradicts with the assumption (c3). Then, we notice that our assumption is false, that is, for all λ>0,

    limϱϖpbλ(λϱ,λϱ+1)=0. (2.4)

    By the second condition of Definition 1.3, we derive that

    limϱϖpbλ(λϱ,λϱ)limϱϖpbλ(λϱ,λϱ+1)=0.

    Thus, taking Lemma 1.7 into account, for all ϱ,m1, we obtain

    limϱωλ(λm,λϱ)=2limϱϖpbλ(λm,λϱ)limϱϖpbλ(λm,λm)limϱϖpbλ(λϱ,λϱ),

    such that

    limϱωλ(λm,λϱ)=2limϱϖpbλ(λm,λϱ). (2.5)

    In the next step, we show that {λϱ}ϱN is a ϖpb Cauchy sequence in Xϖpb. For this, it is necessary to prove that {λϱ}ϱN is a ω Cauchy sequence in Xω (see Lemma 1.11). Suppose, on the contrary, that {λϱ}ϱN is not a ω Cauchy sequence. Then, there exists ε>0 for which we can find two sequences {λ2mq} and {λ2ϱq} that can be constructed of positive integers satisfying mq>ϱq>q such that

    ω4λ(λ2ϱq,λ2mq)ε (2.6)

    for all λ>0, which yields that ω2λ(λ2ϱq,λ2mq)ε. Also, let mq be the smallest index satisfying the above condition such that

    ωλ(λ2ϱq,λ2mq2)<ε. (2.7)

    Then, by using (2.4) and (2.6), we get

    εω4λ(λ2ϱq,λ2mq)ρω2λ(λ2ϱq,λ2ϱq+1)+ρ2ωλ(λ2ϱq+1,λ2mq+2)+ρ3ωλ/λ22(λ2mq+2,λ2mq+1)+ρ3ωλ/λ22(λ2mq+1,λ2mq),

    such that

    limsupqωλ(λ2ϱq+1,λ2mq+2)ερ2. (2.8)

    Likewise, we have

    ωλ(λ2ϱq,λ2mq+1)ρωλ/λ22(λ2ϱq,λ2mq2)+ρ2ωλ/λ44(λ2mq2,λ2mq1)+ρ3ωλ/λ88(λ2mq1,λ2mq)+ρ3ωλ/λ88(λ2mq,λ2mq+1),

    such that

    limsupqωλ(λ2ϱq,λ2mq+1)ρε. (2.9)

    Similarly, considering the property of triangular inequality, we obtain

    ωλ(λϱq,λmq+2)ρωλ2(λϱq,λmq+1)+ρωλ2(λmq+1,λmq+2),

    and

    ωλ(λmq+1,λϱq+1)ρωλ2(λmq+1,λmq)+ρωλ2(λmq,λϱq+1).

    By means of (2.4) and (2.9), we conclude that

    limsupqωλ(λmq,λϱq+2)=limsupqωλ(λmq+1,λϱq+1)ρ2ε. (2.10)

    On the other hand, by using (2.5), if we apply it to (2.8)–(2.10), we attain the following:

    limsupqϖpbλ(λ2ϱq+1,λ2mq+2)ε2ρ2, (2.11)
    limsupqϖpbλ(λ2ϱq,λ2mq+1)ρε2, (2.12)
    limsupqϖpbλ(λmq,λϱq+2)=limsupqϖpbλ(λmq+1,λϱq+1)ρ2ε2. (2.13)

    For a sufficiently large qN, if mq>ϱq>q, we infer

    12ρmin{ϖpbλ(λ2ϱq,Gλ2ϱq),ϖpbλ(Gλ2mq,RGλ2mq)}ϖpbλ(λ2ϱq,Gλ2mq). (2.14)

    Given the fact that ϱq>mq and the sequence {ϖpbλ(λϱ,λϱ+1)}ϱ1 is nondecreasing, we acquire

    ϖpbλ(Gλ2mq,RGλ2mq)=ϖpbλ(λ2mq+1,λ2mq+2)ϖpbλ(λ2ϱq+1,λ2ϱq+2)ϖpbλ(λ2ϱq,λ2ϱq+1)=ϖpbλ(λ2ϱq,Gλ2ϱq).

    Hence,

    12ρmin{ϖpbλ(λ2ϱq,Gλ2ϱq),ϖpbλ(Gλ2mq,RGλ2mq)}=12ρϖpbλ(Gλ2mq,RGλ2mq)=12ρϖpbλ(λ2mq+1,λ2mq+2).

    According to (2.4), there exists q1N such that for any q>q1,

    ϖpbλ(λ2mq+1,λ2mq+2)<ε2ρ.

    Also, there exists q2N such that for any q>q2,

    ϖpbλ(λ2ϱq,λ2ϱq+1)<ε2ρ.

    Therefore, for any q>max{q1,q2} and mq>ϱq>q, we have

    εϖpb2λ(λ2ϱq,λ2mq)ρϖpbλ(λ2ϱq,λ2mq+1)+ρϖpbλ(λ2mq+1,λ2mq+2)ρϖpbλ(λ2ϱq,λ2mq+1)+ρε2ρ.

    So, one concludes that

    ε2ρϖpbλ(λ2ϱq,λ2mq+1).

    Thus, we deduce that for any q>max{q1,q2} and ϱq>mq>q,

    ϖpbλ(λ2mq+1,λ2mq+2)<ε2ρϖpbλ(λ2ϱq,λ2mq+1),

    that is, the expression (2.14) is proved. Therefore, from (2.1), we have

    (ρ3ϖpbλ(Gλ2ϱq,RGλ2mq))Γ(χ(ϖpbλ(λ2ϱq,Gλ2mq))max{ϖpbλ(λ2ϱq,Gλ2mq),ϖpbλ(λ2ϱq,Gλ2ϱq),ϖpbλ(Gλ2mq,RGλ2mq),ϖpb2λ(λ2ϱq,RGλ2mq)+ϖpb2λ(Gλ2mq,Gλ2ϱq)2ρ})=Γ(χ(ϖpbλ(λ2ϱq,λ2mq+1))max{ϖpbλ(λ2ϱq,λ2mq+1),ϖpbλ(λ2ϱq,λ2ϱq+1),ϖpbλ(λ2mq+1,λ2mq+2),ϖpb2λ(λ2ϱq,λ2mq+2)+ϖpb2λ(λ2mq+1,λ2ϱq+1)2ρ}). (2.15)

    Thereupon, if we pass to the limit superior in (2.15), and using (2.11)–(2.13), we conclude that

    (ρε2)limsupq(ρ3ϖpbλ(λ2ϱq+1,λ2mq+2))limsupqΓ(χ(ϖpbλ(λ2ϱq,λ2mq+1))max{ϖpbλ(λ2ϱq,λ2mq+1),ϖpbλ(λ2ϱq,λ2ϱq+1),ϖpbλ(λ2mq+1,λ2mq+2),ϖpb2λ(λ2ϱq,λ2mq+2)+ϖpb2λ(λ2mq+1,λ2ϱq+1)2ρ})<(limsupq(χ(ϖpbλ(λ2ϱq,λ2mq+1))max{ϖpbλ(λ2ϱq,λ2mq+1),ϖpbλ(λ2ϱq,λ2ϱq+1),ϖpbλ(λ2mq+1,λ2mq+2),ϖpb2λ(λ2ϱq,λ2mq+2)+ϖpb2λ(λ2mq+1,λ2ϱq+1)2ρ}))(χ(ρε2)max{ρε,0,0,ρ2ε2+ρ2ε22ρ})<(ρε2),

    which results in a contradiction. Consequently, it yields that {λϱ}ϱN is a ωCauchy sequence in Xω. By Lemma 1.8 (i), {λϱ}ϱN is also a ϖpb Cauchy sequence in Xϖpb. Since Xϖpb is a ϖpbcomplete PMbMS, by Lemma 1.8 (ii), Xω is also a ωcomplete modular bMS. Thus, there exists λXω such that λϱλ, that is, limρωλ(λϱ,λ)=0. By Lemma 1.8 (iii), we get

    limρϖpbλ(λϱ,λ)=ϖpbλ(λ,λ)=limρ,mϖpbλ(λϱ,λm),λ>0. (2.16)

    Because limρ,mϖpbλ(λϱ,λm)=0, we get ϖpbλ(λ,λ)=0. Thus, the sequence {λϱ}ϱN converges to λ in Xϖpb. If G is a continuous mapping, then we have

    ϖpbλ(λ,Gλ)=limϱϖpbλ(λ2ϱ,Gλ2ϱ)=0=limϱϖpbλ(λ2ϱ,λ2ϱ+1),

    which implies that λ is the FP of G. Assuming λRλ, i.e., ϖpbλ(λ,Rλ)>0, we obtain, considering (2.1),

    12ρmin{ϖpbλ(λ,Gλ),ϖpbλ(Gλ,RGλ)}ϖpbλ(λ,Gλ),

    which yields that

    (ρ3ϖpbλ(Gλ,RGλ))Γ(χ(ϖpbλ(λ,Gλ))max{ϖpbλ(λ,Gλ),ϖpbλ(λ,Gλ),ϖpbλ(Gλ,RGλ)ϖpb2λ(λ,RGλ)+ϖpb2λ(Gλ,Gλ)2ρ}).

    Thus, the subsequent statement is derived. However, it represents a contradiction.

    (ρ3ϖpbλ(λ,Rλ))Γ(χ(0)max{0,0,ϖpbλ(λ,Rλ),ϖpb2λ(λ,Rλ)2ρ})Γ(χ(0)ϖpbλ(λ,Rλ))<(ϖpbλ(λ,Rλ)),

    that is, λ=Rλ. Hence, λ is a common FP of the mappings G and R when the mapping G is continuous.

    In conclusion, let us choose λ and λ1 to be two distinct common FPs of G and R. We conclude ϖpbλ(Gλ,RGλ1)=ϖpbλ(λ,λ1)>0 and, also,

    0=12ρmin{ϖpbλ(λ,Gλ),ϖpbλ(Gλ1,RGλ1)}ϖpbλ(λ,Gλ1)=ϖpbλ(λ,λ1).

    Utilizing (2.1), we infer

    (ρ3ϖpbλ(Gλ,RGλ1))Γ(χ(ϖpbλ(λ,Gλ1))max{ϖpbλ(λ,Gλ1),ϖpbλ(λ,Gλ),ϖpbλ(Gλ1,RGλ1),ϖpb2λ(λ,RGλ1)+ϖpb2λ(Gλ1,Gλ)2ρ}).

    It follows that

    (ρ3ϖpbλ(λ,λ1))Γ(χ(ϖpbλ(λ,λ1))max{ϖpbλ(λ,λ1),0,0,ϖpb2λ(λ,λ1)ρ})Γ(χ(ϖpbλ(λ,λ1))ϖpbλ(λ,λ1))<(ϖpbλ(λ,λ1)),

    which is a contradiction, so we have λ=λ1. This authenticates the uniqueness of the common FP of G and R.

    Theorem 2.2. Presume that all the conditions of Theorem 2.1 are held without G being continuous. Then, the mappings G and R own a unique common FP.

    Proof. As in the proof of Theorem 2.1, we say that the sequence {λϱ}ϱN is a ϖpb Cauchy sequence in Xϖpb and there exists λXϖpb such that λϱλ. If for infinite values ϱN, Gλ2ϱ=Gλ, we arrive at

    λ=limϱλ2ϱ+1=limϱGλ2ϱ=Gλ,

    thereby by proving λ to be FP of G. Since Gλ2ϱ=Gλ=λ, we conclude that RGλ2ϱ=Rλ2ϱ+1=Rλ and also get

    λ=limϱλ2ϱ+2=limϱRλ2ϱ+1=Rλ.

    Thus, R admits an FP viz. λ.

    Now, assume that λ2ϱ+2Gλ ϱN. To prove λ=Gλ, let one of the subsequent inequalities hold:

    12ρϖpbλ(λ2ϱ+1,λ2ϱ+2)ϖpbλ(λ,λ2ϱ+1), (2.17)

    or

    12ρϖpbλ(λ2ϱ+2,λ2ϱ+3)ϖpbλ(λ,λ2ϱ+1). (2.18)

    Unlike if, for some ϱ00, both of them are not provided, that is,

    12ρϖpbλ(λ2ϱ+1,λ2ϱ+2)12ρϖpb2λ(λ2ϱ+1,λ2ϱ+2)>ϖpbλ(λ,λ2ϱ+1),

    or

    12ρϖpbλ(λ2ϱ+2,λ2ϱ+3)12ρϖpb2λ(λ2ϱ+2,λ2ϱ+3)>ϖpbλ(λ,λ2ϱ+1).

    Hence, using (2.17) and (2.18), we conclude that

    ϖpb2λ(λ2ϱ0+1,λ2ϱ0+2)ρϖpbλ(λ2ϱ0+1,λ)+ρϖpbλ(λ,λ2ϱ0+2)ϖpbλ(λ,λ)<12ϖpb2λ(λ2ϱ0+1,λ2ϱ0+2)+12ϖpb2λ(λ2ϱ0+2,λ2ϱ0+3)<12ϖpb2λ(λ2ϱ0+1,λ2ϱ0+2)+12ϖpb2λ(λ2ϱ0+1,λ2ϱ0+2)=ϖpb2λ(λ2ϱ0+1,λ2ϱ0+2),

    such that a contradictory situation arises, which causes our assertion to be true. Then, we refer to the following two cases.

    Case (i): The inequality (2.17) satisfies for infinitely many ϱ0. In this case, for infinitely many ϱ0, we have

    12ρmin{ϖpbλ(λ,Gλ),ϖpbλ(Gλ2ϱ,RGλ2ϱ)}=12ρmin{ϖpbλ(λ,Gλ),ϖpbλ(λ2ϱ+1,λ2ϱ+2)}ϖpbλ(λ,λ2ϱ+1).

    Then, by (2.1), we get

    (ρ3ϖpbλ(Gλ,RGλ2ϱ))Γ(χ(ϖpbλ(λ,Gλ2ϱ))max{ϖpbλ(λ,Gλ2ϱ),ϖpbλ(λ,Gλ),ϖpbλ(Gλ2ϱ,RGλ2ϱ),ϖpb2λ(λ,RGλ2ϱ)+ϖpb2λ(Gλ2ϱ,Gλ)2ρ})

    and so, it implies that

    (ρ3ϖpbλ(Gλ,λ2ϱ+2))Γ(χ(ϖpbλ(λ,λ2ϱ+1))max{ϖpbλ(λ,λ2ϱ+1),ϖpbλ(λ,Gλ),ϖpbλ(λ2ϱ+1,λ2ϱ+2),ϖpb2λ(λ,λ2ϱ+2)+ϖpb2λ(λ2ϱ+1,Gλ)2ρ}). (2.19)

    Then, considering the upper semicontinuity of χ, we achieve

    limϱsupχ(ϖpbλ(λ,λ2ϱ+1))χ(0).

    Hence, taking the upper limit as ϱ in (2.19),

    (ρ3ϖpbλ(Gλ,λ))Γ(limsupϱ[χ(ϖpbλ(λ,λ2ϱ+1))max{ϖpbλ(λ,λ2ϱ+1),ϖpbλ(λ,Gλ),ϖpbλ(λ2ϱ+1,λ2ϱ+2),ϖpb2λ(λ,λ2ϱ+2)+ϖpb2λ(λ2ϱ+1,Gλ)2ρ}])Γ(χ(0)ϖpbλ(λ,Gλ))<(χ(0)ϖpbλ(λ,Gλ)),

    is obtained. Since the mapping is nondecreasing, we get

    ϖpbλ(Gλ,λ)ρ3ϖpbλ(Gλ,λ)χ(0)ϖpbλ(λ,Gλ),

    which yields λ=Gλ.

    Similarly, taking λ2ϱ+1Rλ ϱN, we achieve Rλ=λ.

    Case (ii): One can see that (2.17) merely holds for finite values ϱ0. Consequently, ϱ00 satisfies (2.18) for any ϱϱ0. As proved in Case (i), (2.18) also arrives at a contradiction unless λ is a common FP of G and R. Thus, λ is the common FP of G and R in either of the cases. We can use the same approach as demonstrated in the preceding theorem to achieve uniqueness concisely.

    Now, we present an example illustrating the usability of the main theorem.

    Example 2.3. Let Xϖpb=[0,1] and ϖpb:(0,)×X×X[0,] be defined by

    ϖpbλ(λ,)={[max{λ,}]2λ+[max{λ,}]2,λ0,λ=,

    for all λ,X. Then, we conclude that ϖpb is a PMbM on X with the coefficient ρ=2. Consider the mappings G,R:XϖpbXϖpb by Gλ=λ8 and Rλ=2λ for all λXϖpb. Without loss of the generality, we assume that λ>0. Thereupon, it is clear that ϖpbλ(Gλ,RG)=ϖpbλ(λ8,4)>0 such that

    12ρmin{ϖpbλ(λ,Gλ),ϖpbλ(G,RG)}=14min{ϖpbλ(λ,λ8),ϖpbλ(8,4)}=14min{λ2λ+λ2,(4)2λ+(4)2}=264λ+42ϖpbλ(λ,8)=λ2λ+λ2

    implies

    (ρ3ϖpbλ(Gλ,RG))=(8ϖpbλ(λ8,4))=(8(λ8)2λ+(λ8)2)=(8λ264λ+λ2)Γ(χ(ϖpbλ(λ,G))max{ϖpbλ(λ,G),ϖpbλ(λ,Gλ),ϖpbλ(G,RG),ϖpb2λ(λ,RG)+ϖpb2λ(G,Gλ)2ρ})=Γ(χ(ϖpbλ(λ,8))max{ϖpbλ(λ,8),ϖpbλ(λ,λ8),ϖpbλ(8,4)ϖpb2λ(λ,4)+ϖpb2λ(8,λ8)4})=Γ(χ(λ2λ+λ2)max{λ2λ+λ2,216λ+214(λ22λ+λ2+λ2128λ+λ2)})=Γ(χ(λ2λ+λ2)λ2λ+λ2)<(χ(λ2λ+λ2)λ2λ+λ2).

    Moreover, by the property (c1) and considering the features of χ:ˉPR+, we yield that the inequality

    8λ264λ+λ2<λ2λ+λ2

    holds for all λ(0,1]. Also, even if =0, the result is still valid; that is, all of the conditions of Theorem 2.1 are satisfied.

    We achieve the following consequence by taking G=R in Theorem 2.1.

    Corollary 2.4. Let Xϖpb be a ϖpbcomplete PMbMS with ρ1 and G:XϖpbXϖpb be a self-mapping. For all λ,Xϖpb and all λ>0 with ϖpbλ(Gλ,G2)>0 such that

    12ρϖpbλ(λ,Gλ)ϖpbλ(λ,G)

    implies

    (ρ3ϖpbλ(Gλ,G2))Γ(χ(ϖpbλ(λ,G))max{ϖpbλ(λ,G),ϖpbλ(λ,Gλ),ϖpbλ(G,G2),ϖpb2λ(λ,G2)+ϖpb2λ(G,Gλ)2ρ}),

    χ:ˉPR+ as upper semicontinuous on ˉP:={ϖpbλ(λ,):λ,Xϖpb}, and χ(t)<t for each tˉP and the functions ,Γ:(0,)R, which hold the features of (c1)(c3). If G is continuous (not necessary), then G admits a UFP in Xϖpb, whenever the assumptions (Ξ1) and (Ξ2) are satisfied.

    Theorem 2.5. Consider Xϖpb to be a ϖpbcomplete PMbMS with 1ρ and G,R:XϖpbXϖpb be two self-maps. If (i)(iii) are contended:

    (i) there exist α(0,1) and the functions ,Γ:(0,)R, which have the properties of (c1)(c3) such that

    12ρmin{ϖpbλ(λ,Gλ),ϖpbλ(G,RG)}ϖpbλ(λ,G)

    implies

    (ρ3ϖpbλ(Gλ,RG))Γ(αmax{ϖpbλ(λ,G),ϖpbλ(λ,Gλ)+ϖpbλ(G,RG)2,ϖpb2λ(λ,RG)+ϖpb2λ(G,Gλ)2ρ})

    for all λ,Xϖpb and all λ>0,

    (ii) the mapping G is continuous,

    (iii) the conditions (Ξ1) and (Ξ2) hold.

    Then, G and R admit a unique common FP in Xϖpb.

    Proof. The proof can be completed on similar lines as followed in Theorem 2.1.

    Remark 2. Note that we can acquire other consequences by taking G=R in Theorem 2.5.

    In what follows, we establish a new contraction mapping, which involves a quadratic term in the setting of PMbMS.

    Theorem 2.6. Let Xϖpb be a ϖpbcomplete PMbMS with ρ1 and G,R:XϖpbXϖpb be two self-maps. If the underneath conditions are contented:

    (i) there exist α,β0 with α+β<1ρ such that

    12ρmin{ϖpbλ(λ,Gλ),ϖpbλ(,R)}ϖpbλ(λ,)

    implies

    (ρ7ϖ2λ(Gλ,R))Γ(α[ϖpbλ(λ,Gλ)ϖpbλ(,R)+1ρϖpb2λ(λ,R)ϖpb2λ(,Gλ)]+β[ϖpbλ(λ,Gλ)ϖpb2λ(,Gλ)+1ρϖpb2λ(λ,R)ϖpbλ(,R)]) (2.20)

    for all λ,Xϖpb and all λ>0 with ϖpbλ(Gλ,R)>0, where the functions ,Γ:(0,)R hold the features of (c1)(c3),

    (ii) G is a mapping, which need not be continuous,

    (iii) (Ξ1) and (Ξ2) are fulfilled.

    Then, G and R admit a unique-common FP in Xϖpb.

    Proof. Let λ0Xϖpb be arbitrary, and λ1Xϖpb with λ1=Gλ0. Likewise, there exists λ2Xϖpb such that λ2=Rλ1. Continuing in the same manner, we can set up a sequence {λϱ}ϱN in Xϖpb such that

    λ2ϱ+1=Gλ2ϱandλ2ϱ+2=Rλ2ϱ+1.

    Presume that ϖpbλ(λϱ,λϱ+1)=0, λ>0. Now, taking ϱ=2i for some iN yields into ϖpbλ(λ2i,λ2i+1)=0 for all λ>0. So, we suppose ϖpbλ(λ2i+1,λ2i+2)>0. Due to the fact that

    12ρmin{ϖpbλ(λ2i,Gλ2i),ϖpbλ(λ2i+1,Rλ2i+1)}ϖpbλ(λ2i,λ2i+1),

    from (2.20), this implies that

    (ρ7ϖpbλ(Gλ2i,Rλ2i+1)2)Γ(α[ϖpbλ(λ2i,Gλ2i)ϖpbλ(λ2i+1,Rλ2i+1)+1ρϖpb2λ(λ2i,Rλ2i+1)ϖpb2λ(λ2i+1,Gλ2i)]+β[ϖpbλ(λ2i,Gλ2i)ϖpb2λ(λ2i+1,Gλ2i)+1ρϖpb2λ(λ2i,Rλ2i+1)ϖpbλ(λ2i+1,Rλ2i+1)]).

    Also, let ηi=ϖpbλ(λi,λi+1). Then, we get

    (ρ7η2i+12)Γ(α[η2iη2i+1]+β[1ρϖpb2λ(λ2i,λ2i+2)η2i+1]).

    Note that ϖpb2λ(λ2i,λ2i+2)ρ(η2i+η2i+1) and as η2i=ϖpbλ(λ2i,λ2i+1)=0, by (c2), we obtain

    (ρ7η2i+12)Γ(βη2i+12)<(βη2i+12).

    In view of the property (c1), we determine ρ7η2i+12<βη2i+12, a contradiction. Hence, λ2i+1=λ2i+2, we obtain λ2i=Gλ2i=Rλ2i. This ensures λ2i is a common FP of G and R. In the rest of the analysis, we suppose that λϱλϱ+1. Utilizing (2.20), we derive

    (ρ7η2ϱ+12)Γ(α[η2ϱη2ϱ+1]+β[(η2ϱ+η2ϱ+1)η2ϱ+1])=Γ([α+β]η2ϱη2ϱ+1+βη2ϱ+12).

    By using the features of (c1) and (c2), we deduce that

    ρ7η2ϱ+12<(α+β)η2ϱη2ϱ+1+βη2ϱ+12,

    hence

    (ρ7β)η2ϱ+1<(α+β)η2ϱ,

    for all ϱN. Since α+β<1ρ, where ρ1, we obtain ρ7β>0, and so

    η2ϱ+1<(α+βρ7β)η2ϱ<η2ϱ.

    Therefore, by following the same steps as in the proof of Theorem 2.1, the equality (2.4) is easily achieved.

    Next, we will demonstrate that {λϱ}ϱN is a ϖpb Cauchy sequence in Xϖpb. Similarly, if we consider the same steps as in Theorem 2.1, then we obtain (2.11) and (2.13). On the other hand, it is clear that the inequality

    12ρmin{ϖpbλ(λ2ϱq,Gλ2ϱq),ϖpbλ(λ2mq+1,Rλ2mq+1)}ϖpbλ(λ2ϱq,λ2mq+1)

    is fulfilled. Then, from (2.20), we have

    (ρ7ϖpbλ(Gλ2ϱq,Rλ2mq+1)2)Γ(α[ϖpbλ(λ2ϱq,Gλ2ϱq)ϖpbλ(λ2mq+1,Rλ2mq+1)+1ρϖpb2λ(λ2ϱq,Rλ2mq+1)ϖpb2λ(λ2mq+1,Gλ2ϱq)]+β[ϖpbλ(λ2ϱq,Gλ2ϱq)ϖpb2λ(λ2mq+1,Gλ2ϱq)+1ρϖpb2λ(λ2ϱq,Rλ2mq+1)ϖpbλ(λ2mq+1,Rλ2mq+1)])=Γ(α[ϖpbλ(λ2ϱq,λ2ϱq+1)ϖpbλ(λ2mq+1,λ2mq+2)+1ρϖpb2λ(λ2ϱq,λ2mq+2)ϖpb2λ(λ2mq+1,λ2ϱq+1)]+β[ϖpbλ(λ2ϱq,λ2ϱq+1)ϖpb2λ(λ2mq+1,λ2ϱq+1)+1ρϖpb2λ(λ2ϱq,λ2mq+2)ϖpbλ(λ2mq+1,λ2mq+2)]).

    Hence, if we take the limit superior in the above inequality and consider the expressions (2.11) and (2.13), together with the property of (c1), we gain

    (ρ3ε24)=(ρ7(ε2ρ2)2)limsupq(ρ7ϖpbλ(λ2ϱq+1,λ2mq+2)2)limsupqΓ(α[ϖpbλ(λ2ϱq,λ2ϱq+1)ϖpbλ(λ2mq+1,λ2mq+2)+1ρϖpb2λ(λ2ϱq,λ2mq+2)ϖpb2λ(λ2mq+1,λ2ϱq+1)]+β[ϖpbλ(λ2ϱq,λ2ϱq+1)ϖpb2λ(λ2mq+1,λ2ϱq+1)+1ρϖpb2λ(λ2ϱq,λ2mq+2)ϖpbλ(λ2mq+1,λ2mq+2)])
    <(limsupq[α[ϖpbλ(λ2ϱq,λ2ϱq+1)ϖpbλ(λ2mq+1,λ2mq+2)+1ρϖpb2λ(λ2ϱq,λ2mq+2)ϖpb2λ(λ2mq+1,λ2ϱq+1)]+β[ϖpbλ(λ2ϱq,λ2ϱq+1)ϖpb2λ(λ2mq+1,λ2ϱq+1)+1ρϖpb2λ(λ2ϱq,λ2mq+2)ϖpbλ(λ2mq+1,λ2mq+2)]])(α[1ρρ2ε2ρ2ε2])=(αρ3ε24).

    Owing to α+β<1ρ, the last inequality causes a contradiction, that is, we conclude that the sequence {λϱ}ϱN is a ϖpb Cauchy sequence in Xϖpb. Also, as in the proof of Theorem 2.1, considering the Lemma 1.8 (ii-iii), we acquire that

    limρϖpbλ(λϱ,λ)=ϖpbλ(λ,λ)=limρ,mϖpbλ(λϱ,λm),λ>0

    and {λϱ}ϱN converges to λ in ϖpbcomplete PMbMS Xϖpb.

    Now, if G is continuous, then we have

    ϖpbλ(λ,Gλ)=limϱϖpbλ(λ2ϱ,Gλ2ϱ)=limϱϖpbλ(λ2ϱ,λ2ϱ+1)=0,

    which implies that λ is a FP of G. Assume that λRλ, that is, ϖpbλ(λ,Rλ)>0. Then, because

    12ρmin{ϖpbλ(λ,Gλ),ϖpbλ(λ,Rλ)}ϖpbλ(λ,λ),

    from (2.20), we get

    (ρ7ϖpbλ(Gλ,Rλ)2)Γ(α[ϖpbλ(λ,Gλ)ϖpbλ(λ,Rλ)+1ρϖpb2λ(λ,Rλ)ϖpb2λ(λ,Gλ)]+β[ϖpbλ(λ,Gλ)ϖpb2λ(λ,Gλ)+1ρϖpb2λ(λ,Rλ)ϖpbλ(λ,Rλ)]).

    Note that 1ρϖpb2λ(λ,Rλ)ϖpbλ(λ,Rλ), and by using (c2), the above inequality turns into

    (ρ7ϖpbλ(λ,Rλ)2)Γ(β[1ρϖpb2λ(λ,Rλ)ϖpbλ(λ,Rλ)])<(βϖpbλ(λ,Rλ)2),

    such that this conclusion causes a contradiction due to α+β<1ρ, i.e., λ=Rλ. Finally, for the uniqueness, let λ and λ1 be two distinct common FPs of G and R. Hence, ϖpbλ(Gλ,Rλ1)=ϖpbλ(λ,λ1)>0 and the expression

    0=12ρmin{ϖpbλ(λ,Gλ),ϖpbλ(λ1,Rλ1)}ϖpbλ(λ,λ1)

    implies from the inequality (2.20):

    (ρ7ϖpbλ(λ,λ1)2)=(ρ7ϖpbλ(Gλ,Rλ1)2)Γ(α[ϖpbλ(λ,Gλ)ϖpbλ(λ1,Rλ1)+1ρϖpb2λ(λ,Rλ1)ϖpb2λ(λ1,Gλ)]+β[ϖpbλ(λ,Gλ)ϖpb2λ(λ1,Gλ)+1ρϖpb2λ(λ,Rλ1)ϖpbλ(λ1,Rλ1)])=Γ(α[1ρϖpb2λ(λ,λ1)2])<(αϖpbλ(λ,λ1)2).

    This is a contradiction, that is, λ=λ1. Consequently, it is asserted that the common fixed point of the mappings G and R possesses uniqueness, concluding the proof.

    Theorem 2.7. In Theorem 2.6, if we ignore the continuity of G, then, under the same conditions, we get a similar inference.

    Proof. As in the proof of Theorem 2.6, we say that {λϱ}ϱN is a ϖpb Cauchy sequence in Xϖpb and there exists λXϖpb such that λϱλ. Thus, if Gλ2ϱ=Gλ for infinite values of ϱN, then we have

    λ=limϱλ2ϱ+1=limϱGλ2ϱ=Gλ.

    This proves that λ is an FP of G. Since Gλ2ϱ=Gλ=λ, we conclude that RGλ2ϱ=Rλ2ϱ+1=Rλ. Then, we get

    λ=limϱλ2ϱ+2=limϱRλ2ϱ+1=Rλ,

    which means that λ is an FP of R. We suppose that λ2ϱ+2Gλ for all ϱN. Again, as in Theorem 2.1, we have

    12ρmin{ϖpbλ(λ,Gλ),ϖpbλ(Gλ2ϱ,RGλ2ϱ)}ϖpbλ(λ,Gλ2ϱ).

    Hence, by (2.20), we obtain

    (ρ7ϖpbλ(Gλ,Rλ2ϱ+1)2)Γ(α[ϖpbλ(λ,Gλ)ϖpbλ(λ2ϱ+1,Rλ2ϱ+1)+1ρϖpb2λ(λ,Rλ2ϱ+1)ϖpb2λ(λ2ϱ+1,Gλ)]+β[ϖpbλ(λ,Gλ)ϖpb2λ(λ2ϱ+1,Gλ)+1ρϖpb2λ(λ,Rλ2ϱ+1)ϖpbλ(λ2ϱ+1,Rλ2ϱ+1)]),

    and so this implies that

    (ρ7ϖpbλ(Gλ,λ2ϱ+2)2)Γ(α[ϖpbλ(λ,Gλ)ϖpbλ(λ2ϱ+1,λ2ϱ+2)+1ρϖpb2λ(λ,λ2ϱ+2)ϖpb2λ(λ2ϱ+1,Gλ)]+β[ϖpbλ(λ,Gλ)ϖpb2λ(λ2ϱ+1,Gλ)+1ρϖpb2λ(λ,λ2ϱ+2)ϖpbλ(λ2ϱ+1,λ2ϱ+2)]). (2.21)

    Then, taking the limit as ϱ in (2.21) and using (c2), the following expression is acquired;

    (ρ7ϖpbλ(Gλ,λ)2)limϱΓ(β[ϖpbλ(Gλ,λ)(ρϖpbλ(λ2ϱ+1,λ2ϱ+2)+ρϖpbλ(λ2ϱ+2,Gλ))])<(limϱ[β[ϖpbλ(Gλ,λ)(ρϖpbλ(λ2ϱ+1,λ2ϱ+2)+ρϖpbλ(λ2ϱ+2,Gλ))]])(βρϖpbλ(Gλ,λ)2).

    This means that Gλ=λ. Similarly, taking λ2ϱ+1Rλ for all ϱN, we also attain Rλ=λ.

    Consequently, λ is a common FP of G and R.

    The following result is procured in the case of G=R in Theorem 2.6.

    Corollary 2.8. Let Xϖpb be a ϖpbcomplete PMbMS with \rho \ge 1 and \mathcal{G}: \mathfrak{X}_{\varpi^{{ \mathfrak{p}_ \mathfrak{b}}}}^* \to \mathfrak{X}_{\varpi^{{ \mathfrak{p}_ \mathfrak{b}}}}^* be a self-mapping. All {\rlap{–} \lambda }, \hbar \in { \mathfrak{X}_{\varpi^{{ \mathfrak{p}_ \mathfrak{b}}}}^*} and all \lambda > 0 with {\varpi _\lambda ^{ \mathfrak{p}_ \mathfrak{b}}}\left({ \mathcal{G} {\rlap{–} \lambda }, \mathcal{G} \hbar} \right) > 0 such that

    \begin{equation} \frac{1}{{2\rho }}{\varpi _\lambda ^{ \mathfrak{p}_ \mathfrak{b}}}\left( { {\rlap{–} \lambda } , \mathcal{G} {\rlap{–} \lambda } } \right) \le {\varpi _\lambda ^{ \mathfrak{p}_ \mathfrak{b}}}\left( { {\rlap{–} \lambda } , \hbar } \right) \end{equation} (2.22)

    implies

    \begin{equation} \begin{array}{*{20}{l}} \daleth\left( {{\rho ^2}\varpi _{\lambda }^2\left( { \mathcal{G} {\rlap{–} \lambda } , \mathcal{G} \hbar } \right)} \right) \le \Gamma\left( \begin{array}{l} \alpha \left[ {{\varpi _\lambda ^{ \mathfrak{p}_ \mathfrak{b}}}\left( { {\rlap{–} \lambda } , \mathcal{G} {\rlap{–} \lambda } } \right){\varpi _\lambda ^{ \mathfrak{p}_ \mathfrak{b}}}\left( { \hbar , \mathcal{G} \hbar } \right) + \frac{1}{\rho }{\varpi _{2\lambda} ^{ \mathfrak{p}_ \mathfrak{b}}}\left( { {\rlap{–} \lambda } , \mathcal{G} \hbar } \right){\varpi _{2\lambda} ^{ \mathfrak{p}_ \mathfrak{b}}}\left( { \hbar , \mathcal{G} {\rlap{–} \lambda } } \right)} \right] \\ \\ +\beta \left[ {{\varpi _\lambda ^{ \mathfrak{p}_ \mathfrak{b}}}\left( { {\rlap{–} \lambda } , \mathcal{G} {\rlap{–} \lambda } } \right){\varpi _{2\lambda} ^{ \mathfrak{p}_ \mathfrak{b}}}\left( { \hbar , \mathcal{G} {\rlap{–} \lambda } } \right) + \frac{1}{\rho }{\varpi _{2\lambda} ^{ \mathfrak{p}_ \mathfrak{b}}}\left( { {\rlap{–} \lambda } , \mathcal{G} \hbar } \right){\varpi _\lambda ^{ \mathfrak{p}_ \mathfrak{b}}}\left( { \hbar , \mathcal{G} \hbar } \right)} \right] \end{array} \right), \end{array} \end{equation} (2.23)

    where the functions \daleth, \Gamma :\left({0, \infty } \right) \to \mathbb{R} are held the features of (c_1) (c_3) . If \mathcal{G} is continuous (not necessary), then under the conditions \left({{\Xi _1}} \right) and \left({{\Xi _2}} \right) , \mathcal{G} holds a \mathscr{UFP} in { \mathfrak{X}_{\varpi^{{ \mathfrak{p}_ \mathfrak{b}}}}^* }.

    In the ensuing discussion, we aim to present an illustrative example demonstrating that the prerequisites of Corollary 2.8 can be satisfied even in the absence of continuity in \mathcal{G} .

    Example 2.9. Let \mathfrak{X} = \left[{0, 1} \right] and define the \mathfrak{PM_{b}M} by { {\varpi _\lambda ^{ \mathfrak{p}_ \mathfrak{b}}} = \frac{{{{\left| { {\rlap{–} \lambda } - \hbar} \right|}^2}}}{\lambda } }. So, we clearly attain that \mathfrak{X}_{\varpi^{{ \mathfrak{p}_ \mathfrak{b}}}}^* is a {\varpi^{{ \mathfrak{p}_ \mathfrak{b}}}}- complete \mathfrak{PM_{b}MS} with \rho = 2 . Also, we introduced a self-mapping \mathcal{G}: \mathfrak{X}_{\varpi^{{ \mathfrak{p}_ \mathfrak{b}}}}^* \to \mathfrak{X}_{\varpi^{{ \mathfrak{p}_ \mathfrak{b}}}}^* as indicated below:

    \begin{equation*} \mathcal{G} {\rlap{–} \lambda } = \left\{ \begin{array}{l} 0, \quad {\rm{if}}\, {\rlap{–} \lambda } = 1\\ \\ \frac{ {\rlap{–} \lambda }}{2}, \quad {\rm{otherwise}} \end{array} \right.. \end{equation*}

    Upon careful analysis, it becomes apparent that the mapping denoted as \mathcal{G} lacks continuity at the point {\rlap{–} \lambda } = 1 , given that \mathcal{G}\left(1 \right) = 0 . Conversely, within the interval {\rlap{–} \lambda } \in \left[{0, 1} \right) , the mapping \mathcal{G} exhibits continuous behavior, characterized by the relation \mathcal{G}\left({\rlap{–} \lambda } \right) = \frac{ {\rlap{–} \lambda }}{2} . Furthermore, it is pertinent to note that all prerequisites stipulated in Corollary 2.8 have been satisfactorily fulfilled. In our forthcoming analysis, we shall delve into two distinct scenarios. To facilitate a comprehensive discussion without compromising generality, it is posited under the assumption that \hbar \ge 2 {\rlap{–} \lambda } .

    Case 1: For {\rlap{–} \lambda } \in \left[{0, \frac{1}{2}} \right) and \hbar = 1 , the inequality (2.22) becomes

    \begin{equation*} {\frac{1}{4}{\varpi _\lambda ^{ \mathfrak{p}_ \mathfrak{b}}}\left( { {\rlap{–} \lambda }, \frac{ {\rlap{–} \lambda }}{2}} \right) = \frac{{{ {\rlap{–} \lambda }^2}}}{{16\lambda }} \le {\varpi _\lambda ^{ \mathfrak{p}_ \mathfrak{b}}}\left( { {\rlap{–} \lambda }, 1} \right) = \frac{{{{\left| { {\rlap{–} \lambda } - 1} \right|}^2}}}{\lambda }}, \end{equation*}

    which holds for all {\rlap{–} \lambda } \in \left[{0, \frac{1}{2}} \right) . So, from the inequality (2.23), we get

    \begin{equation*} \begin{array}{l} \daleth\left( {\frac{{{ {\rlap{–} \lambda }^4}}}{{4{\lambda ^2}}}} \right) = \daleth\left( {4{\varpi _\lambda ^{ \mathfrak{p}_ \mathfrak{b}}}{{\left( {\frac{ {\rlap{–} \lambda }}{2}, 0} \right)}^2}} \right) \le \Gamma\left( \begin{array}{l} \alpha \left[ {{\varpi _\lambda ^{ \mathfrak{p}_ \mathfrak{b}}}\left( { {\rlap{–} \lambda }, \frac{ {\rlap{–} \lambda }}{2}} \right){\varpi _\lambda ^{ \mathfrak{p}_ \mathfrak{b}}}\left( {1, 0} \right) + \frac{1}{2}{\varpi _{2\lambda} ^{ \mathfrak{p}_ \mathfrak{b}}}\left( { {\rlap{–} \lambda }, 0} \right){\varpi _{2\lambda} ^{ \mathfrak{p}_ \mathfrak{b}}}\left( {1, \frac{ {\rlap{–} \lambda }}{2}} \right)} \right]\\ \\ \beta \left[ {{\varpi _\lambda ^{ \mathfrak{p}_ \mathfrak{b}}}\left( { {\rlap{–} \lambda }, \frac{ {\rlap{–} \lambda }}{2}} \right){\varpi_{2\lambda} ^{ \mathfrak{p}_ \mathfrak{b}}}\left( {1, \frac{ {\rlap{–} \lambda }}{2}} \right) + \frac{1}{2}{\varpi _{2\lambda} ^{ \mathfrak{p}_ \mathfrak{b}}}\left( { {\rlap{–} \lambda }, 0} \right){\varpi _\lambda ^{ \mathfrak{p}_ \mathfrak{b}}}\left( {1, 0} \right)} \right] \end{array} \right)\\ \\ \quad \quad \quad \quad \quad \quad \quad \quad \quad \quad \le \Gamma\left( \begin{array}{l} \alpha \left[ {\frac{{{ {\rlap{–} \lambda }^2}}}{{4{\lambda ^2}}} + \frac{{{ {\rlap{–} \lambda }^2}{{\left( {2 - {\rlap{–} \lambda }} \right)}^2}}}{{8{\lambda ^2}}}} \right]\\ \\ \beta \left[ {\frac{{{ {\rlap{–} \lambda }^2}{{\left( {2 - {\rlap{–} \lambda }} \right)}^2}}}{{16{\lambda ^2}}} + \frac{{{ {\rlap{–} \lambda }^2}}}{{2{\lambda ^2}}}} \right] \end{array} \right)\\ \\ \quad \quad \quad \quad \quad \quad \quad \quad \quad \quad < \daleth\left( {\left( {\alpha + \beta } \right)\left[ {\frac{{{ {\rlap{–} \lambda }^2}}}{{2{\lambda ^2}}} + \frac{{{ {\rlap{–} \lambda }^2}{{\left( {2 - {\rlap{–} \lambda }} \right)}^2}}}{{8{\lambda ^2}}}} \right]} \right), \end{array} \end{equation*}

    which yields that \frac{{{ {\rlap{–} \lambda }^4}}}{{4{\lambda ^2}}} < \left({\alpha + \beta } \right)\left[{\frac{{4{ {\rlap{–} \lambda }^2} + { {\rlap{–} \lambda }^2}{{\left({2 - {\rlap{–} \lambda }} \right)}^2}}}{{8{\lambda ^2}}}} \right]. Thereby, considering the fact that \alpha + \beta < \frac{1}{2} , by simple calculations, it is obvious that the inequality (2.23) is fulfilled for all {\rlap{–} \lambda } \in \left[{0, \frac{1}{2}} \right) with a sufficiently large value of \alpha + \beta .

    Case 2: Let {\rlap{–} \lambda }, \hbar \in \left[{0, 1} \right) . Then, from (2.22), the inequality

    \begin{equation*} { \frac{1}{4}{\varpi _\lambda ^{ \mathfrak{p}_ \mathfrak{b}}}\left( { {\rlap{–} \lambda }, \frac{ {\rlap{–} \lambda }}{2}} \right) = \frac{{{ {\rlap{–} \lambda }^2}}}{{16\lambda }} \le\frac{{{{\left| { {\rlap{–} \lambda } - \hbar} \right|}^2}}}{\lambda } = {\varpi _\lambda ^{ \mathfrak{p}_ \mathfrak{b}}}\left( { {\rlap{–} \lambda }, \hbar} \right)} \end{equation*}

    is fulfilled because of \hbar \ge 2 {\rlap{–} \lambda } . So, we have

    \begin{equation*} \begin{array}{l} \daleth\left( {\frac{{{{\left| { {\rlap{–} \lambda } - \hbar} \right|}^4}}}{{4{\lambda ^2}}}} \right) = \daleth\left( {4{\varpi _\lambda ^{ \mathfrak{p}_ \mathfrak{b}}}{{\left( {\frac{ {\rlap{–} \lambda }}{2}, \frac{ \hbar}{2}} \right)}^2}} \right) \le \Gamma\left( \begin{array}{l} \alpha \left[ {{\varpi _\lambda ^{ \mathfrak{p}_ \mathfrak{b}}}\left( { {\rlap{–} \lambda }, \frac{ {\rlap{–} \lambda }}{2}} \right){\varpi _\lambda ^{ \mathfrak{p}_ \mathfrak{b}}}\left( { \hbar, \frac{ \hbar}{2}} \right) + \frac{1}{2}{\varpi _{2\lambda} ^{ \mathfrak{p}_ \mathfrak{b}}}\left( { {\rlap{–} \lambda }, \frac{ \hbar}{2}} \right){\varpi _{2\lambda} ^{ \mathfrak{p}_ \mathfrak{b}}}\left( { \hbar, \frac{ {\rlap{–} \lambda }}{2}} \right)} \right]\\ \\ \beta \left[ {{\varpi _\lambda ^{ \mathfrak{p}_ \mathfrak{b}}}\left( { {\rlap{–} \lambda }, \frac{ {\rlap{–} \lambda }}{2}} \right){\varpi _{2\lambda} ^{ \mathfrak{p}_ \mathfrak{b}}}\left( { \hbar, \frac{ {\rlap{–} \lambda }}{2}} \right) + \frac{1}{2}{\varpi _{2\lambda} ^{ \mathfrak{p}_ \mathfrak{b}}}\left( { {\rlap{–} \lambda }, \frac{ \hbar}{2}} \right){\varpi _\lambda ^{ \mathfrak{p}_ \mathfrak{b}}}\left( { \hbar, \frac{ \hbar}{2}} \right)} \right] \end{array} \right)\\ \\ \quad \quad \quad \quad \quad \quad \quad \quad \quad \quad \le \Gamma\left( \begin{array}{l} \alpha \left[ {\frac{{{ {\rlap{–} \lambda }^2}{ \hbar^2}}}{{16{\lambda ^2}}} + \frac{{{{\left( {2 {\rlap{–} \lambda } - \hbar} \right)}^2}{{\left( {2 \hbar - {\rlap{–} \lambda }} \right)}^2}}}{{32{\lambda ^2}}}} \right]\\ \\ \beta \left[ {\frac{{{ {\rlap{–} \lambda }^2}{{\left( {2 \hbar - {\rlap{–} \lambda }} \right)}^2}}}{{16{\lambda ^2}}} + \frac{{{{\left( {2 {\rlap{–} \lambda } - \hbar} \right)}^2}{ \hbar^2}}}{{32{\lambda ^2}}}} \right] \end{array} \right)\\ \\ \quad \quad \quad \quad \quad \quad \quad \quad \quad \quad < \daleth\left( {\left( {\alpha + \beta } \right)\left[ {\frac{{{ {\rlap{–} \lambda }^2}{ \hbar^2}}}{{16{\lambda ^2}}} + \frac{{{ {\rlap{–} \lambda }^2}{{\left( {2 \hbar - {\rlap{–} \lambda }} \right)}^2}}}{{16{\lambda ^2}}}} \right]} \right)\\ \\ \quad \quad \quad \quad \quad \quad \quad \quad \quad \quad < \daleth\left( {\left( {\alpha + \beta } \right)\left[ {\frac{{{{\left( {2 \hbar - {\rlap{–} \lambda }} \right)}^4}}}{{8{\lambda ^2}}}} \right]} \right). \end{array} \end{equation*}

    Hence, considering the properties of \daleth , we conclude that the inequality \frac{{{{\left| { {\rlap{–} \lambda } - \hbar} \right|}^4}}}{{4{\lambda ^2}}} < \left({\alpha + \beta } \right)\left[{\frac{{{{\left({2 \hbar - {\rlap{–} \lambda }} \right)}^4}}}{{8{\lambda ^2}}}} \right] is satisfied for all {\rlap{–} \lambda }, \hbar \in \left[{0, 1} \right) with \hbar \ge 2 {\rlap{–} \lambda } and for the sufficiently closest value of \alpha + \beta to \frac{1}{2} . Consequently, despite the discontinuous to {\rlap{–} \lambda } = 1 , the mapping \mathcal{G} has a fixed point at {\rlap{–} \lambda } = 0 .

    This section aims to show that our results can be applied to the existence of a common solution in the Fredholm integral equation system. Let us consider the following Fredholm integral equations:

    \begin{equation} \left\{ \begin{array}{l} {\rlap{–} \lambda } \left( \mathfrak{t} \right) = \varphi \left( \mathfrak{t} \right)+ \int\limits_{\hat a}^{\hat b} { \mathscr{K}_1 \left( { \mathfrak{t}, \mathfrak{s}, {\rlap{–} \lambda } \left( \mathfrak{s} \right)} \right)d \mathfrak{s}} \\ \\ \hbar \left( \mathfrak{t} \right) = \varphi \left( \mathfrak{t} \right) + \int\limits_{\hat a}^{\hat b} { \mathscr{K}_2 \left( { \mathfrak{t}, \mathfrak{s}, {\rlap{–} \lambda } \left( \mathfrak{s} \right)} \right)d \mathfrak{s}} \end{array} \right., \end{equation} (3.1)

    where {\hat a}, {\hat b} \in \Bbb{R} with {\hat a} < {\hat b} , \varphi :\left[{{\hat a}, {\hat b}} \right] \to \Bbb{R} , and {\rlap{–} \lambda } \in C\left({\left[{{\hat a}, {\hat b}} \right], {\mathbb{R}}} \right) and \mathscr{K}_1, \mathscr{K}_2 :\left[{{\hat a}, {\hat b}} \right] \times \left[{{\hat a}, {\hat b}} \right] \times {\mathbb{R}} \to {\mathbb{R}} are given continuous mappings. Also, let { \mathfrak{X}_{\varpi^{{ \mathfrak{p}_ \mathfrak{b}}}}^*} = C\left({\left[{{\hat a}, {\hat b}} \right], {\mathbb{R}}} \right) and define \varpi^{{ \mathfrak{p}_ \mathfrak{b}}}:\left({0, \infty } \right) \times \mathfrak{X} \times \mathfrak{X} \to \left[{0, \infty } \right] by

    \begin{equation*} \varpi _\lambda^{{ \mathfrak{p}_ \mathfrak{b}}}\left( { {\rlap{–} \lambda }, \hbar} \right) = {e^{ - \lambda }}{\left| { {\rlap{–} \lambda }\left( \mathfrak{t} \right) - \hbar\left( \mathfrak{t} \right)} \right|^2} + \left| { {\rlap{–} \lambda }\left( \mathfrak{t} \right)} \right| + \left| { \hbar\left( \mathfrak{t} \right)} \right|, \end{equation*}

    for all {\rlap{–} \lambda }, \hbar \in { \mathfrak{X}_{\varpi^{{ \mathfrak{p}_ \mathfrak{b}}}}^*} and all \lambda > 0 . Evidently, { \mathfrak{X}_{\varpi^{{ \mathfrak{p}_ \mathfrak{b}}}}^*} is a {\varpi^{{ \mathfrak{p}_ \mathfrak{b}}}}- complete \mathfrak{PM_{b}MS} with the constant \rho = 2. Furthermore, let \mathcal{G}, \mathcal{G}^2 = \mathcal{G}\circ \mathcal{G}:{ \mathfrak{X}_{\varpi^{{ \mathfrak{p}_ \mathfrak{b}}}}^*} \to { \mathfrak{X}_{\varpi^{{ \mathfrak{p}_ \mathfrak{b}}}}^*} be defined by

    \begin{equation*} \mathcal{G}\left( { {\rlap{–} \lambda } \left( \mathfrak{t} \right)} \right) = \int\limits_{\hat a}^{\hat b} { \mathscr{K}_1 \left( { \mathfrak{t}, \mathfrak{s}, {\rlap{–} \lambda } \left( \mathfrak{s} \right)} \right)d \mathfrak{s}}, \end{equation*}
    \begin{equation*} \mathcal{G}^2\left( { {\rlap{–} \lambda } \left( \mathfrak{t} \right)} \right) = \int\limits_{\hat a}^{\hat b} { \mathscr{K}_2 \left( { \mathfrak{t}, \mathfrak{s}, {\rlap{–} \lambda } \left( \mathfrak{s} \right)} \right)d \mathfrak{s}} \end{equation*}

    for all {\rlap{–} \lambda } \in { \mathfrak{X}_{\varpi^{{ \mathfrak{p}_ \mathfrak{b}}}}^*} and \mathfrak{t} \in \left[{{\hat a}, {\hat b}} \right].

    Theorem 3.1. Consider the nonlinear integral equation (3.1). Presume that the following statements are satisfied:

    \left(i \right) \mathscr{K}_1, \mathscr{K}_2 :\left[{{\hat a}, {\hat b}} \right] \times \left[{{\hat a}, {\hat b}} \right] \times \Bbb{R} \to \Bbb{R} is continuous and nondecreasing in the third order,

    \left(ii \right) for each \mathfrak{t}, \mathfrak{s} \in \left[{{\hat a}, {\hat b}} \right] and {\rlap{–} \lambda }, \hbar \in { \mathfrak{X}}_\varpi ^* with {\rlap{–} \lambda } \left(r \right) \le \hbar \left(r \right) for all r \in \left[{{\hat a}, {\hat b}} \right] , we have

    \begin{equation} \left| { \mathscr{K}_1 \left( { \mathfrak{t} , \mathfrak{s} , {\rlap{–} \lambda } \left( \mathfrak{s} \right)} \right) - \mathscr{K}_2 \left( { \mathfrak{t} , \mathfrak{s} , \hbar \left( \mathfrak{s} \right)} \right)} \right| \le \sigma \left( { \mathfrak{t} , \mathfrak{s} } \right){\left[ \begin{array}{l} {\left| { {\rlap{–} \lambda }\left( \mathfrak{s} \right) - \mathcal{G} \hbar\left( \mathfrak{s} \right)} \right|^2} + {e^\lambda }\left( {\left| { {\rlap{–} \lambda }\left( \mathfrak{s} \right)} \right| + \left| { \mathcal{G} \hbar\left( \mathfrak{s} \right)} \right|} \right)\\ - 64{e^\lambda }\left( {\left| { \mathcal{G} {\rlap{–} \lambda }\left( \mathfrak{t} \right)} \right| + \left| {{ \mathcal{G}^2} \hbar\left( \mathfrak{t} \right)} \right|} \right) \end{array} \right]^{\frac{1}{2}}}, \end{equation} (3.2)

    where \sigma :\left[{{\hat a}, {\hat b}} \right] \times \left[{{\hat a}, {\hat b}} \right] \to \left[{0, \infty } \right) is a continuous function defined by

    \begin{equation} \mathop {\sup }\limits_{ \mathfrak{t} \in [\hat a, \hat b]} \left( {\int\limits_{\hat a}^{\hat b} {\sigma {{\left( { \mathfrak{t}, \mathfrak{s} } \right)}^{2}}d \mathfrak{s} } } \right) \le \frac{1 }{{{64}}}. \end{equation} (3.3)

    Then, the system of integral equations (3.1) has a unique solution.

    Proof. From (3.2) and (3.3), for all \mathfrak{t} \in \left[{{\hat a}, {\hat b}} \right] , we have

    \begin{equation*} \begin{array}{l} \daleth\left( {{\rho ^3}\varpi _\lambda ^{{ \mathfrak{p}_ \mathfrak{b}}}\left( { \mathcal{G} {\rlap{–} \lambda }, { \mathcal{G}^2} \hbar} \right)} \right) = 16\varpi _\lambda ^{{ \mathfrak{p}_ \mathfrak{b}}}\left( { \mathcal{G} {\rlap{–} \lambda }, { \mathcal{G}^2} \hbar} \right)\\ \\ = 16\mathop {\sup }\limits_{ \mathfrak{t} \in [\hat a, \hat b]} \left[ {{e^{ - \lambda }}{{\left| { \mathcal{G} {\rlap{–} \lambda }\left( \mathfrak{t} \right) - { \mathcal{G}^2} \hbar\left( \mathfrak{t} \right)} \right|}^2} + \left| { \mathcal{G} {\rlap{–} \lambda }\left( \mathfrak{t} \right)} \right| + \left| {{ \mathcal{G}^2} \hbar\left( \mathfrak{t} \right)} \right|} \right]\\ \\ = 16\mathop {\sup }\limits_{ \mathfrak{t} \in [\hat a, \hat b]} \left[ {{e^{ - \lambda }}{{\left| {\int\limits_{\hat a}^{\hat b} {{ \mathscr{K}_1}\left( { \mathfrak{t}, \mathfrak{s}, {\rlap{–} \lambda }\left( \mathfrak{s} \right)} \right)d \mathfrak{s}} - \int\limits_{\hat a}^{\hat b} {{ \mathscr{K}_2}\left( { \mathfrak{t}, \mathfrak{s}, \hbar\left( \mathfrak{s} \right)} \right)d \mathfrak{s}} } \right|}^2} + \left| { \mathcal{G} {\rlap{–} \lambda }\left( \mathfrak{t} \right)} \right| + \left| {{ \mathcal{G}^2} \hbar\left( \mathfrak{t} \right)} \right|} \right]\\ \\ \le 16\mathop {\sup }\limits_{ \mathfrak{t} \in [\hat a, \hat b]} \left[ {{{\left( {{e^{ - \lambda }}\int\limits_{\hat a}^{\hat b} {\left| {{ \mathscr{K}_1}\left( { \mathfrak{t}, \mathfrak{s}, {\rlap{–} \lambda }\left( \mathfrak{s} \right)} \right) - { \mathscr{K}_2}\left( { \mathfrak{t}, \mathfrak{s}, \hbar\left( \mathfrak{s} \right)} \right)} \right|d \mathfrak{s}} } \right)}^2} + \left| { \mathcal{G} {\rlap{–} \lambda }\left( \mathfrak{t} \right)} \right| + \left| {{ \mathcal{G}^2} \hbar\left( \mathfrak{t} \right)} \right|} \right]\\ \\ \le 16\left[ {{{\left( {{e^{ - \lambda }}\mathop {\sup }\limits_{ \mathfrak{t} \in [\hat a, \hat b]} \int\limits_a^b {\sigma \left( { \mathfrak{t}, \mathfrak{s}} \right)d \mathfrak{s}{{\left[ \begin{array}{l} {\left| { {\rlap{–} \lambda }\left( \mathfrak{s} \right) - \mathcal{G} \hbar\left( \mathfrak{s} \right)} \right|^2} + {e^\lambda }\left( {\left| { {\rlap{–} \lambda }\left( \mathfrak{s} \right)} \right| + \left| { \mathcal{G} \hbar\left( \mathfrak{s} \right)} \right|} \right)\\ \\ - 64{e^\lambda }\left( {\left| { \mathcal{G} {\rlap{–} \lambda }\left( \mathfrak{t} \right)} \right| + \left| {{ \mathcal{G}^2} \hbar\left( \mathfrak{t} \right)} \right|} \right) \end{array} \right]}^{\frac{1}{2}}}} } \right)}^2} + \left| { \mathcal{G} {\rlap{–} \lambda }\left( \mathfrak{t} \right)} \right| + \left| {{ \mathcal{G}^2} \hbar\left( \mathfrak{t} \right)} \right|} \right]\\ \end{array} \end{equation*}
    \begin{equation*} \begin{array}{l} \le 16\left[ {{e^{ - \lambda }}\mathop {\sup }\limits_{ \mathfrak{t} \in [\hat a, \hat b]} \int\limits_a^b {\sigma {{\left( { \mathfrak{t}, \mathfrak{s}} \right)}^2}d \mathfrak{s}\left[ \begin{array}{l} {\left| { {\rlap{–} \lambda }\left( \mathfrak{s} \right) - \mathcal{G} \hbar\left( \mathfrak{s} \right)} \right|^2} + {e^\lambda }\left( {\left| { {\rlap{–} \lambda }\left( \mathfrak{s} \right)} \right| + \left| { \mathcal{G} \hbar\left( \mathfrak{s} \right)} \right|} \right)\\ \\ - 64{e^\lambda }\left( {\left| { \mathcal{G} {\rlap{–} \lambda }\left( \mathfrak{t} \right)} \right| + \left| {{ \mathcal{G}^2} \hbar\left( \mathfrak{t} \right)} \right|} \right) \end{array} \right]} + \left| { \mathcal{G} {\rlap{–} \lambda }\left( \mathfrak{t} \right)} \right| + \left| {{ \mathcal{G}^2} \hbar\left( \mathfrak{t} \right)} \right|} \right]\\ \\ \le \frac{1}{4}\left[ {{e^{ - \lambda }}{{\left| { {\rlap{–} \lambda }\left( \mathfrak{s} \right) - \mathcal{G} \hbar\left( \mathfrak{s} \right)} \right|}^2} + \left| { {\rlap{–} \lambda }\left( \mathfrak{s} \right)} \right| + \left| { \mathcal{G} \hbar\left( \mathfrak{s} \right)} \right|} \right]\\ \\ \le \Gamma\left( \frac{1}{2} {\varpi _\lambda ^{{ \mathfrak{p}_ \mathfrak{b}}}\left( { {\rlap{–} \lambda }, \mathcal{G} \hbar} \right)} \right)\\ \\ \le \Gamma\left( {\chi \left( {\varpi _\lambda ^{{ \mathfrak{p}_ \mathfrak{b}}}\left( { {\rlap{–} \lambda }, \mathcal{G} \hbar} \right)} \right)\max \left\{ \begin{array}{l} \varpi _\lambda ^{{ \mathfrak{p}_ \mathfrak{b}}}\left( { {\rlap{–} \lambda }, \mathcal{G} \hbar} \right), \varpi _\lambda ^{{ \mathfrak{p}_ \mathfrak{b}}}\left( { {\rlap{–} \lambda }, \mathcal{G} {\rlap{–} \lambda }} \right), \varpi _\lambda ^{{ \mathfrak{p}_ \mathfrak{b}}}\left( { \mathcal{G} \hbar, { \mathcal{G}^2} \hbar} \right)\\ \\ \frac{{\varpi _{2\lambda }^{{ \mathfrak{p}_ \mathfrak{b}}}\left( { {\rlap{–} \lambda }, { \mathcal{G}^2} \hbar} \right) + \varpi _{2\lambda }^{{ \mathfrak{p}_ \mathfrak{b}}}\left( { \mathcal{G} \hbar, \mathcal{G} {\rlap{–} \lambda }} \right)}}{{2\rho }} \end{array} \right\}} \right), \end{array} \end{equation*}

    where \chi:\bar P \to \left[{0, 1} \right) and, also, \daleth \left(\iota \right) = \rho \iota and \Gamma \left(\iota \right) = \frac{1}{\rho }\iota for all \iota > 0 . Thereupon, we conclude that all the conditions of Corollary 2.4 are contended. Then, the system of nonlinear Fredholm integral equations (3.1) has a unique solution.

    This paper provides a method for solving a system of Fredholm integral equations that is based on Suzuki-type and Proinov-type contractions. To underscore the significance of the proposed methodology, an illustrative example is meticulously analyzed. Within the ambit of partial modular b- metric spaces, this study successfully derives new common fixed-point results through the application of Suzuki-type and Proinov-type contractions.

    Furthermore, it presents an intriguing avenue for future research, suggesting the potential applicability of the findings to the domain of multivalued mappings. This prospect opens up fertile ground for exploration, possibly expanding the scope and utility of the current study's methodologies and outcomes.

    A. Büyükkaya: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data Curation, Writing-Original Draft Preparation, Writing-Review and Editing, Visualization; M. Younis: Methodology, Formal analysis, Investigation, Writing-Review and Editing, Visualization, Supervision; D. Kesik: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources; M.Öztürk; Data Curation, Writing-Original Draft Preparation, Writing-Review and Editing, Visualization, Supervision, Project Administration, Funding Acquisition. All authors have read and agreed to the published version of the manuscript.

    We appreciate the helpful criticism from the anonymous referees, and we would especially want to thank Reviewer 1, whose remarks strengthened the technical aspects of our paper. Even the feedback we got on the second revision was positive and beneficial.

    The authors declare no conflicts of interest.



    [1] S. Banach, Sur les operations dans les emsembles abstraits et leurs applications aux equations integrales, Fund. Math., 3 (1922), 133–181. https://doi.org/10.4064/fm-3-1-133-181 doi: 10.4064/fm-3-1-133-181
    [2] M. Younis, L. Chen, D. Singh, Recent developments in fixed point theory: theoretical foundations and real-world applications, Springer, 2024. https://doi.org/10.1007/978-981-99-9546-2
    [3] A. Deep, M. Kazemi, Solvability for 2D non-linear fractional integral equations by Petryshyn's fixed point theorem, J. Comput. Appl. Math., 444 (2024), 115797. https://doi.org/10.1016/j.cam.2024.115797 doi: 10.1016/j.cam.2024.115797
    [4] A. Deep, Deepmala, J. Rezaei Roshan, K. Sooppy Nisar, T. Abdeljawad, An extension of Darbo's fixed point theorem for a class of system of nonlinear integral equations, Adv. Differ. Equ., 2020 (2020), 483. https://doi.org/10.1186/s13662-020-02936-y doi: 10.1186/s13662-020-02936-y
    [5] A. Büyükkaya, M. Öztürk, On Suzuki-Proinov type contractions in modular b-metric spaces with an application, Commun. Adv. Math. Sci., 7 (2024), 27–41. https://doi.org/10.33434/cams.1414411 doi: 10.33434/cams.1414411
    [6] E. Girgin, A. Büyükkaya, N. K. Kuru, M. Younis, M. Öztürk, Analysis of Caputo-type non-linear fractional differential equations and their Ulam–Hyers stability, Fractal Fract., 8 (2024), 558. https://doi.org/10.3390/fractalfract8100558 doi: 10.3390/fractalfract8100558
    [7] M. E. Ege, C. Alaca, Some results for modular b-metric spaces and an application to a system of linear equations, Azerbaijan J. Math., 8 (2018), 1–12.
    [8] M. Younis, A. A. N. Abdou, Novel fuzzy contractions and applications to engineering science, Fractal Fract., 8 (2024), 28. https://doi.org/10.3390/fractalfract8010028 doi: 10.3390/fractalfract8010028
    [9] M. Younis, D. Singh, A. A. N. Abdou, A fixed point approach for tuning circuit problem in dislocated b‐metric spaces, Math. Meth. Appl. Sci., 45 (2022), 2234–2253. https://doi.org/10.1002/mma.7922 doi: 10.1002/mma.7922
    [10] E. Girgin, A. Büyükkaya, N. K. Kuru, M. Öztürk, On the impact of some fixed point theorems on dynamic programming and RLC circuit models in \Re-modular b-metric-like spaces, Axioms, 13 (2024), 441. https://doi.org/10.3390/axioms13070441 doi: 10.3390/axioms13070441
    [11] I. A. Bakhtin, The contraction mapping principle in quasi metric spaces, Funct. Anal. Unianowsk Gos. Ped. Inst., 30 (1989), 26–37.
    [12] S. Czerwik, Contraction mappings in b-metric spaces, Acta Math. Inf. Univ. Ostraviensis, 1 (1993), 5–11.
    [13] S. Czerwik, Nonlinear set-valued contraction mappings in b-metric spaces, Atti Sem. Mat. Fis. Univ. Modena, 46 (1998), 263–276.
    [14] S. G. Matthews, Partial metric topology, Ann. New York Acad. Sci., 728 (1994), 183–197. https://doi.org/10.1111/j.1749-6632.1994.tb44144.x
    [15] M. Younis, D. Singh, D. Gopal, A. Goyal, M. S. Rathore, On applications of generalized F-contraction to differential equations, Nonlinear Funct. Anal. Appl., 24 (2019), 155–174.
    [16] L. S. Dönmez, A. Büyükkaya, M. Öztürk, Fixed-point results via \alpha_{i}^{j}-\left(\mathbf{D}_{{C}}\left(\mathfrak{P}_{\hat E}\right)\right)- contractions in partial b-metric spaces, AIMS Math., 8 (2023), 23674–23706. https://doi.org/10.3934/math.20231204 doi: 10.3934/math.20231204
    [17] Z. Mustafa, J. R. Roshan, V. Parvaneh, Z. Kadelburg, Some common fixed point results in ordered partial b-metric spaces, J. Inequal. Appl., 2013 (2013), 562. https://doi.org/10.1186/1029-242X-2013-562 doi: 10.1186/1029-242X-2013-562
    [18] S. Shukla, Partial b-metric spaces and fixed point theorems, Mediterr. J. Math., 11 (2014), 703–711. https://doi.org/10.1007/s00009-013-0327-4 doi: 10.1007/s00009-013-0327-4
    [19] H. Ahmad, M. Younis, M. E. Koksal, D. Lateef, Nonunique fixed‐point results in a general setting with an application, J. Math., 2024 (2024), 9190867. https://doi.org/10.1155/2024/9190867 doi: 10.1155/2024/9190867
    [20] V. V. Chistyakov, Modular metric spaces, I: basic concepts, Nonlinear Anal., 72 (2010), 1–14. https://doi.org/10.1016/j.na.2009.04.057
    [21] A. Büyükkaya, M. Öztürk, Some fixed point results for Sehgal-Proinov type contractions in modular b-metric spaces, An. St. Univ. Ovidius Constanta, 31 (2023), 61–86.
    [22] A. Büyükkaya, A. Fulga, M. Öztürk, On generalized Suzuki-Proinov type \left({\alpha, {\mathcal{Z}}_E ^*} \right) - contractions in modular b-metric spaces, Filomat, 37 (2023), 1207–1222. https://doi.org/10.2298/FIL2304207B doi: 10.2298/FIL2304207B
    [23] M. Öztürk, A. Büyükkaya, Fixed point results for Suzuki-type \Sigma-contractions via simulation functions in modular b-metric spaces, Math. Meth. Appl. Sci., 45 (2022), 12167–12183. https://doi.org/10.1002/mma.7634 doi: 10.1002/mma.7634
    [24] M. Öztürk, F. Golkarmanesh, A. Büyükkaya, V. Parvaneh, Generalized almost simulative {\hat Z}_{_{\Psi ^*} }^\Theta - contraction mappings in modular b-metric spaces, J. Math. Ext., 17 (2023), 1–37. https://doi.org/10.30495/JME.2023.2424 doi: 10.30495/JME.2023.2424
    [25] H. Hosseinzadeh, V. Parvaneh, Meir-Keeler type contractive mappings in modular and partial modular metric spaces, Asian-Eur. J. Math., 13 (2020), 1–18. https://doi.org/10.1142/S1793557120500874 doi: 10.1142/S1793557120500874
    [26] D. Kesik, A. Büyükkaya, M. Öztürk, On modified interpolative almost \mathcal{E}-type contraction in partial modular b-metric spaces, Axioms, 12 (2023), 669. https://doi.org/10.3390/axioms12070669 doi: 10.3390/axioms12070669
    [27] P. D. Proinov, Fixed point theorems for generalized contractive mappings in metric spaces, J. Fixed Point Theory Appl., 22 (2020), 21. https://doi.org/10.1007/s11784-020-0756-1 doi: 10.1007/s11784-020-0756-1
    [28] E. Karapınar, A. Fulga, A fixed point theorem for Proinov mappings with a contractive iterate, Appl. Math. J. Chin. Univ., 38 (2023), 403–412. https://doi.org/10.1007/s11766-023-4258-y doi: 10.1007/s11766-023-4258-y
    [29] E. Karapınar, M. De La Sen, A. Fulga, A note on the Gornicki-Proinov type contraction, J. Funct. Spaces, 2021 (2021), 6686644. https://doi.org/10.1155/2021/6686644 doi: 10.1155/2021/6686644
    [30] E. Karapınar, J. Martinez-Moreno, N. Shahzad, A. F. Roldan Lopez de Hierro, Extended Proinov \mathfrak{X}-contractions in metric spaces and fuzzy metric spaces satisfying the property \mathcal{NC} by avoiding the monotone condition, Rev. Real Acad. Cienc. Exactas Fis. Nat. Ser. A-Mat., 116 (2022), 140. https://doi.org/10.1007/s13398-022-01268-8 doi: 10.1007/s13398-022-01268-8
    [31] A. F. Roldan Lopez de Hierro, A. Fulga, E. Karapınar, N. Shahzad, Proinov type fixed point results in non-Archimedean fuzzy metric spaces, Mathematics, 9 (2021), 1594. https://doi.org/10.3390/math9141594 doi: 10.3390/math9141594
    [32] T. Suzuki, A new type of fixed point theorem in metric spaces, Nonlinear Anal., 7 (2009), 5313–5317. https://doi.org/10.1016/j.na.2009.04.017 doi: 10.1016/j.na.2009.04.017
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