The paper aimed to achieve three primary objectives. First, it introduced significant common fixed point results in the context of newly proposed partial modular b−metric 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 b−metric 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 b−MS, initially proposed by Bakhtin [11], represents a significant extension in this direction. Bakhtin's definition of the b−metric 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 b−metric function differs from a typical metric function by relaxing the triangle inequality to a more general form, as seen below:
b(–λ,ℏ)≤ρ[b(–λ,z)+b(z,ℏ)]. |
In this definition, the function b:X×X→[0,∞) is regarded a b−metric on the set X, where ρ is a positive real number (≥1) and the pair (X,b) defines a b−MS. Upon the condition ρ=1, the conceptualizations of a b−metric and the canonical metric converge, thereby suggesting that the b−metric framework serves as an expansion of the conventional MS. On the other hand, unlike its canonical counterpart, the b−metric 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 b−metrics. This novel distance function not only incorporates the fundamental principles of partial metrics and b−metrics 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 b−metric on a nonempty set X is a mapping pb:X×X→[0,∞) such that for all –λ,ℏ,z∈X, which fulfills the subsequent circumstances:
(pb1) pb(–λ,–λ)=pb(ℏ,ℏ)=pb(–λ,ℏ)⇔–λ=ℏ,
(pb2) pb(–λ,–λ)≤pb(–λ,ℏ),
(pb3) pb(–λ,ℏ)=pb(ℏ,–λ),
(pb4) pb(–λ,ℏ)≤ρ[pb(–λ,z)+pb(z,ℏ)−pb(z,z)]+(1−ρ2)(pb(–λ,–λ)−pb(ℏ,ℏ)).
A partial b−metric is a pair (X,pb) such that X is a nonempty set and pb is a partial b−metric on X. The number ρ≥1 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 b−metric spaces. This modification was meticulously designed to ensure that every partial b−metric space is associated with a corresponding b−metric 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 b−MS. This breakthrough significantly enhances our comprehension of metric spaces and extends the utility of b−metrics 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 b−metric 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): (pb′4) for all –λ,ℏ,z∈X:
pb(–λ,ℏ)≤ρ[pb(–λ,z)+pb(z,ℏ)]−pb(z,z). |
As ρ≥1, from (pb4) we have
pb(–λ,ℏ)≤ρ[pb(–λ,z)+pb(z,ℏ)−pb(z,z)]≤ρ[pb(–λ,z)+pb(z,ℏ)]−pb(z,z). |
Remark 1. If –λ,ℏ∈X and pb(–λ,ℏ)=0, then –λ=ℏ, but the converse may not be true. The notion of partial b−metric and partial metric coincide in the case of ρ=1. Moreover, a partial b−metric on X is neither a partial metric nor a b−metric. As far as we understand, a partial b−MS includes the set of a b−MS 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 b−MS as follows:
Definition 1.2. [7] Let X≠∅. A function ω:(0,∞)×X×X→[0,∞], defined by ω(λ,–λ,ℏ)=ωλ(–λ,ℏ), is called a modular b−metric on X if it satisfies the following statements for all –λ,ℏ,z∈X, λ,μ>0:
(ω1) ωλ(–λ,ℏ)=0 for all λ>0 ⇔ –λ=ℏ,
(ω2) ωλ(–λ,ℏ)=ωλ(ℏ,–λ) for all λ>0,
(ω3) there exists ρ≥1 such that
ωλ+μ(–λ,ℏ)≤ρ[ωλ(–λ,z)+ωμ(z,ℏ)]. |
Modular MS can be achieved from modular b−MS in the case of ρ=1. Also, the set
X∗ω(–λ0)={–λ∈X:∃λ>0suchthatωλ(–λ,–λ0)<∞} |
is mentioned as modular b−MS (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 b−metric function. This novel concept represents a synthesis of the principles underlying partiality, modularity, and the b−metric 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 ρ≥1 be a real number. A mapping ϖpb:(0,∞)×X×X→[0,∞] is called a partial modular b−metric (briefly PMbM) on X if the following conditions hold for all –λ,ℏ,z∈X,
(ϖpb1) ϖpbλ(–λ,–λ)=ϖpbμ(–λ,–λ) and ϖpbλ(–λ,–λ)=ϖpbλ(ℏ,ℏ)=ϖpbλ(–λ,ℏ)⇔–λ=ℏ,
(ϖpb2) ϖpbλ(–λ,–λ)≤ϖpbλ(–λ,ℏ), for all λ>0,
(ϖpb3) ϖpbλ(–λ,ℏ)=ϖpbλ(ℏ,–λ), for all λ>0,
(ϖpb4) ϖpbλ+μ(–λ,ℏ)≤ρ[ϖpbλ(–λ,z)+ϖpbμ(z,ℏ)]−ϖpbλ(z,z), for all λ,μ>0.
Then, (X,ϖpbλ)=Xϖpb is called a partial modular b−MS which indicates PMbMS.
Definition 1.4. [26] Let ϖpb be a PMbM on a set X. For given –λ0∈X, we define
● Xϖpb(–λ0)={–λ∈X:limλ→∞ϖpbλ(–λ0,–λ)=c}, for some c≥0 and
● X∗ϖpb(–λ0)={–λ∈X:∃λ=λ(–λ)>0,ϖpbλ(–λ0,–λ)<∞}.
Then, two sets Xϖpb and X∗ϖpb 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 b−MS 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,ℏ∈X,
ϖpbλ(–λ,ℏ)=e−λ|–λ−ℏ|2+|–λ|+|ℏ|,∀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,ℏ∈X
ϖpbλ(–λ,ℏ)=|–λ−ℏ|2λ+|–λ−ℏ|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,ℏ)=2ϖpbλ(–λ,ℏ)−ϖpbλ(–λ,–λ)−ϖpbλ(ℏ,ℏ). | (1.1) |
Then, ω is a modular b−metric on X.
Lemma 1.8. [26] Let ϖpb be a PMbM on X and {–λϱ}ρ∈N be a sequence in X∗ϖpb. Then:
(i) {–λϱ}n∈N is a ϖpb−Cauchy sequence in the PMbMS X∗ϖpb ⇔ it is an ω−Cauchy sequence in modular b−MS X∗ω induced by PMbMS ϖpb.
(ii) A PMbMS X∗ϖpb is ϖpb−complete ⇔ the modular b−MS X∗ω induced by PMbMS ϖpb is ω−complete. Furthermore,
limn→∞ωλ(–λϱ,–λ)=0⇔limn→∞[2ϖpbλ(–λϱ,–λ)−ϖpbλ(–λϱ,–λϱ)−ϖpbλ(–λ,–λ)]=0. |
(iii) {–λϱ}ρ∈N is called ϖpb−convergent to –λ∗∈X∗ϖpb ⇔ limn→∞ϖpbλ(–λϱ,–λ∗)=limn,m→∞ϖpbλ(–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:X→X be a self-map on a complete MS (X,d). Presume that ∀ –λ,ℏ∈X, d(G–λ,Gℏ)>0, and the following condition
ℸ(d(G–λ,Gℏ))≤Γ(d(–λ,ℏ)) |
is met, where ℸ,Γ:(0,∞)→R are two functions that fulfill the below axioms:
(℘1) ℸ is nondecreasing,
(℘2)Γ(ℓ)<ℸ(ℓ) for all ℓ>0,
(℘3)limsupℓ→ℓ0+Γ(ℓ)<ℸ(ℓ0+) for any ℓ0>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:X→X be a self-map on a compact MS (X,d). If the expression
12d(–λ,G–λ)<d(–λ,ℏ)⇒d(G–λ,Gℏ)<d(–λ,ℏ) |
is satisfied for all distinct –λ,ℏ∈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,G–λ)<∞ for all –λ>0 where –λ∈X∗ϖpb.
(Ξ2) ϖpbλ(–λ,ℏ)<∞ for all –λ>0 where –λ,ℏ∈X∗ϖpb.
Now, we establish some common FP theorems considering Suzuki contraction and Proinov type contraction in the context of PMbMS.
Theorem 2.1. Let X∗ϖpb be a ϖpb−complete PMbMS with ρ≥1 and G,R:X∗ϖpb→X∗ϖpb be self-maps. If the underneath axioms are contended:
(i) For all –λ,ℏ∈X∗ϖpb and all λ>0 with ϖpbλ(G–λ,RGℏ)>0 such that
12ρmin{ϖpbλ(–λ,G–λ),ϖpbλ(Gℏ,RGℏ)}≤ϖpbλ(–λ,Gℏ) |
implies
ℸ(ρ3ϖpbλ(G–λ,RGℏ))≤Γ(χ(ϖpbλ(–λ,Gℏ))max{ϖpbλ(–λ,Gℏ),ϖpbλ(–λ,G–λ),ϖpbλ(Gℏ,RGℏ),ϖpb2λ(–λ,RGℏ)+ϖpb2λ(Gℏ,G–λ)2ρ}), | (2.1) |
where χ:ˉP→R+ is upper semicontinuous on ˉP:={ϖpbλ(–λ,ℏ):–λ,ℏ∈X∗ϖpb}, χ(t)<t for each t∈ˉP, and the functions ℸ,Γ:(0,∞)→R are fulfill the following circumstances:
(c1)ℸ is lower semicontinuous and nondecreasing;
(c2)Γ(ℓ)<ℸ(ℓ) for all ℓ>0;
(c3)limsupℓ→ℓ0+Γ(ℓ)<ℸ(ℓ0+) for any ℓ0>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 –λ0∈X∗ϖpb. Then, there exists –λ1∈X∗ϖpb such that –λ1=G–λ0. Likewise, there exists –λ2∈X∗ϖpb such that –λ2=R–λ1. By proceeding in this line, we constitute a sequence {–λϱ}ϱ∈N in X∗ϖpb featured
–λ2ϱ+1=G–λ2ϱand–λ2ϱ+2=R–λ2ϱ+1. |
Presume that ϖpbλ(–λϱ,–λϱ+1)=0 for some ϱ∈N and for all λ>0. Without loss of generality, if we consider ϱ=2k for some k∈N, 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,G–λ2k),ϖpbλ(G–λ2k,RG–λ2k)}≤ϖpbλ(–λ2k,G–λ2k), |
which implies, by (2.1), that
ℸ(ρ3ϖpbλ(G–λ2k,RG–λ2k))≤Γ(χ(ϖpbλ(–λ2k,G–λ2k))max{ϖpbλ(–λ2k,G–λ2k),ϖpbλ(–λ2k,G–λ2k),ϖpbλ(G–λ2k,RG–λ2k),ϖpb2λ(–λ2k,RG–λ2k)+ϖpb2λ(G–λ2k,G–λ2k)2ρ}). |
Let ηk=ϖpbλ(–λk,–λk+1). Thereby, the above inequality becomes
ℸ(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
ℸ(ρ3η2k+1)≤Γ(χ(0)η2k+1)<ℸ(χ(0)η2k+1). |
Considering the property of (c2), we get
η2k+1≤ρ3η2k+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=G–λ2k=R–λ2k are met and this results in –λ2k being a common FP of G and R. Henceforth, we also assume that –λϱ≠–λϱ+1. Hence, taking into consideration the above fact, by (2.1) and (c2), we arrive at
ℸ(ρ3η2ϱ+1)≤Γ(χ(η2ϱ)max{η2ϱ,η2ϱ,η2ϱ+1,η2ϱ+η2ϱ+12})=Γ(χ(η2ϱ)max{η2ϱ,η2ϱ+1})<ℸ(χ(η2ϱ)max{η2ϱ,η2ϱ+1}). |
Also, taking the properties of ℸ 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+1≤ρ3η2ϱ+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
ℸ(η2ϱ+1)≤ℸ(ρ3η2ϱ+1)≤Γ(χ(η2ϱ)η2ϱ)<ℸ(χ(η2ϱ)η2ϱ), | (2.3) |
for all ϱ∈N. Again, by considering the property (c1), the inequality (2.3) becomes
η2ϱ+1<χ(η2ϱ)η2ϱ<η2ϱ. |
Similarly, one can conclude that η2ϱ<η2ϱ−1. Thereby, we guarantee that {ηϱ}ϱ∈N={ϖpbλ(–λϱ,–λϱ+1)}ϱ∈N is a nonincreasing sequence of nonnegative real numbers. Also, a similar consequence can be obtained when k is an odd number. Then, there exists p≥0 such that limϱ→∞ηϱ=p. Assume, on the contrary, we aim to demonstrate that p>0. Then, by (2.3), we have
ℸ(p)=limϱ→∞ℸ(η2ϱ+1)≤limsupϱ→∞Γ(χ(η2ϱ)η2ϱ)<limsupℓ→pℸ(χ(ℓ)ℓ)≤limsupℓ→pℸ(ℓ), |
such that this contradicts with the assumption (c3). Then, we notice that our assumption is false, that is, for all λ>0,
limϱ→∞ϖpbλ(–λϱ,–λϱ+1)=0. | (2.4) |
By the second condition of Definition 1.3, we derive that
limϱ→∞ϖpbλ(–λϱ,–λϱ)≤limϱ→∞ϖpbλ(–λϱ,–λϱ+1)=0. |
Thus, taking Lemma 1.7 into account, for all ϱ,m≥1, we obtain
limϱ→∞ωλ(–λm,–λϱ)=2limϱ→∞ϖpbλ(–λm,–λϱ)−limϱ→∞ϖpbλ(–λm,–λm)−limϱ→∞ϖpbλ(–λϱ,–λϱ), |
such that
limϱ→∞ωλ(–λm,–λϱ)=2limϱ→∞ϖpbλ(–λm,–λϱ). | (2.5) |
In the next step, we show that {–λϱ}ϱ∈N is a ϖpb− Cauchy sequence in X∗ϖpb. For this, it is necessary to prove that {–λϱ}ϱ∈N is a ω− Cauchy sequence in X∗ω (see Lemma 1.11). Suppose, on the contrary, that {–λϱ}ϱ∈N 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,–λ2mq−2)<ε. | (2.7) |
Then, by using (2.4) and (2.6), we get
ε≤ω4λ(–λ2ϱq,–λ2mq)≤ρω2λ(–λ2ϱq,–λ2ϱq+1)+ρ2ωλ(–λ2ϱq+1,–λ2mq+2)+ρ3ωλ/λ22(–λ2mq+2,–λ2mq+1)+ρ3ωλ/λ22(–λ2mq+1,–λ2mq), |
such that
limsupq→∞ωλ(–λ2ϱq+1,–λ2mq+2)≥ερ2. | (2.8) |
Likewise, we have
ωλ(–λ2ϱq,–λ2mq+1)≤ρωλ/λ22(–λ2ϱq,–λ2mq−2)+ρ2ωλ/λ44(–λ2mq−2,–λ2mq−1)+ρ3ωλ/λ88(–λ2mq−1,–λ2mq)+ρ3ωλ/λ88(–λ2mq,–λ2mq+1), |
such that
limsupq→∞ωλ(–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
limsupq→∞ωλ(–λmq,–λϱq+2)=limsupq→∞ωλ(–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:
limsupq→∞ϖpbλ(–λ2ϱq+1,–λ2mq+2)≥ε2ρ2, | (2.11) |
limsupq→∞ϖpbλ(–λ2ϱq,–λ2mq+1)≤ρε2, | (2.12) |
limsupq→∞ϖpbλ(–λmq,–λϱq+2)=limsupq→∞ϖpbλ(–λmq+1,–λϱq+1)≤ρ2ε2. | (2.13) |
For a sufficiently large q∈N, if mq>ϱq>q, we infer
12ρmin{ϖpbλ(–λ2ϱq,G–λ2ϱq),ϖpbλ(G–λ2mq,RG–λ2mq)}≤ϖpbλ(–λ2ϱq,G–λ2mq). | (2.14) |
Given the fact that ϱq>mq and the sequence {ϖpbλ(–λϱ,–λϱ+1)}ϱ≥1 is nondecreasing, we acquire
ϖpbλ(G–λ2mq,RG–λ2mq)=ϖpbλ(–λ2mq+1,–λ2mq+2)≤ϖpbλ(–λ2ϱq+1,–λ2ϱq+2)≤ϖpbλ(–λ2ϱq,–λ2ϱq+1)=ϖpbλ(–λ2ϱq,G–λ2ϱq). |
Hence,
12ρmin{ϖpbλ(–λ2ϱq,G–λ2ϱq),ϖpbλ(G–λ2mq,RG–λ2mq)}=12ρϖpbλ(G–λ2mq,RG–λ2mq)=12ρϖpbλ(–λ2mq+1,–λ2mq+2). |
According to (2.4), there exists q1∈N such that for any q>q1,
ϖpbλ(–λ2mq+1,–λ2mq+2)<ε2ρ. |
Also, there exists q2∈N such that for any q>q2,
ϖpbλ(–λ2ϱq,–λ2ϱq+1)<ε2ρ. |
Therefore, for any q>max{q1,q2} and mq>ϱq>q, we have
ε≤ϖpb2λ(–λ2ϱq,–λ2mq)≤ρϖpbλ(–λ2ϱq,–λ2mq+1)+ρϖpbλ(–λ2mq+1,–λ2mq+2)≤ρϖpbλ(–λ2ϱq,–λ2mq+1)+ρε2ρ. |
So, one concludes that
ε2ρ≤ϖpbλ(–λ2ϱq,–λ2mq+1). |
Thus, we deduce that for any q>max{q1,q2} and ϱq>mq>q,
ϖpbλ(–λ2mq+1,–λ2mq+2)<ε2ρ≤ϖpbλ(–λ2ϱq,–λ2mq+1), |
that is, the expression (2.14) is proved. Therefore, from (2.1), we have
ℸ(ρ3ϖpbλ(G–λ2ϱq,RG–λ2mq))≤Γ(χ(ϖpbλ(–λ2ϱq,G–λ2mq))max{ϖpbλ(–λ2ϱq,G–λ2mq),ϖpbλ(–λ2ϱq,G–λ2ϱq),ϖpbλ(G–λ2mq,RG–λ2mq),ϖpb2λ(–λ2ϱq,RG–λ2mq)+ϖpb2λ(G–λ2mq,G–λ2ϱq)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
ℸ(ρε2)≤limsupq→∞ℸ(ρ3ϖpbλ(–λ2ϱq+1,–λ2mq+2))≤limsupq→∞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})<ℸ(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}))≤ℸ(χ(ρε2)max{ρε,0,0,ρ2ε2+ρ2ε22ρ})<ℸ(ρε2), |
which results in a contradiction. Consequently, it yields that {–λϱ}ϱ∈N is a ω−Cauchy sequence in X∗ω. By Lemma 1.8 (i), {–λϱ}ϱ∈N is also a ϖpb− Cauchy sequence in X∗ϖpb. Since X∗ϖpb is a ϖpb−complete PMbMS, by Lemma 1.8 (ii), X∗ω is also a ω−complete modular b−MS. Thus, there exists –λ∗∈X∗ω such that –λϱ→–λ∗, that is, limρ→∞ωλ(–λϱ,–λ∗)=0. By Lemma 1.8 (iii), we get
limρ→∞ϖpbλ(–λϱ,–λ∗)=ϖpbλ(–λ∗,–λ∗)=limρ,m→∞ϖpbλ(–λϱ,–λm),∀λ>0. | (2.16) |
Because limρ,m→∞ϖpbλ(–λϱ,–λm)=0, we get ϖpbλ(–λ∗,–λ∗)=0. Thus, the sequence {–λϱ}ϱ∈N converges to –λ∗ in X∗ϖpb. If G is a continuous mapping, then we have
ϖpbλ(–λ∗,G–λ∗)=limϱ→∞ϖpbλ(–λ2ϱ,G–λ2ϱ)=0=limϱ→∞ϖpbλ(–λ2ϱ,–λ2ϱ+1), |
which implies that –λ∗ is the FP of G. Assuming –λ∗≠R–λ∗, i.e., ϖpbλ(–λ∗,R–λ∗)>0, we obtain, considering (2.1),
12ρmin{ϖpbλ(–λ∗,G–λ∗),ϖpbλ(G–λ∗,RG–λ∗)}≤ϖpbλ(–λ∗,G–λ∗), |
which yields that
ℸ(ρ3ϖpbλ(G–λ∗,RG–λ∗))≤Γ(χ(ϖpbλ(–λ∗,G–λ∗))max{ϖpbλ(–λ∗,G–λ∗),ϖpbλ(–λ∗,G–λ∗),ϖpbλ(G–λ∗,RG–λ∗)ϖpb2λ(–λ∗,RG–λ∗)+ϖpb2λ(G–λ∗,G–λ∗)2ρ}). |
Thus, the subsequent statement is derived. However, it represents a contradiction.
ℸ(ρ3ϖpbλ(–λ∗,R–λ∗))≤Γ(χ(0)max{0,0,ϖpbλ(–λ∗,R–λ∗),ϖpb2λ(–λ∗,R–λ∗)2ρ})≤Γ(χ(0)ϖpbλ(–λ∗,R–λ∗))<ℸ(ϖpbλ(–λ∗,R–λ∗)), |
that is, –λ∗=R–λ∗. 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 –λ∗1 to be two distinct common FPs of G and R. We conclude ϖpbλ(G–λ∗,RG–λ∗1)=ϖpbλ(–λ∗,–λ∗1)>0 and, also,
0=12ρmin{ϖpbλ(–λ∗,G–λ∗),ϖpbλ(G–λ∗1,RG–λ∗1)}≤ϖpbλ(–λ∗,G–λ∗1)=ϖpbλ(–λ∗,–λ∗1). |
Utilizing (2.1), we infer
ℸ(ρ3ϖpbλ(G–λ∗,RG–λ∗1))≤Γ(χ(ϖpbλ(–λ∗,G–λ∗1))max{ϖpbλ(–λ∗,G–λ∗1),ϖpbλ(–λ∗,G–λ∗),ϖpbλ(G–λ∗1,RG–λ∗1),ϖpb2λ(–λ∗,RG–λ∗1)+ϖpb2λ(G–λ∗1,G–λ∗)2ρ}). |
It follows that
ℸ(ρ3ϖpbλ(–λ∗,–λ∗1))≤Γ(χ(ϖpbλ(–λ∗,–λ∗1))max{ϖpbλ(–λ∗,–λ∗1),0,0,ϖpb2λ(–λ∗,–λ∗1)ρ})≤Γ(χ(ϖpbλ(–λ∗,–λ∗1))ϖpbλ(–λ∗,–λ∗1))<ℸ(ϖpbλ(–λ∗,–λ∗1)), |
which is a contradiction, so we have –λ∗=–λ∗1. 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}ϱ∈N is a ϖpb− Cauchy sequence in X∗ϖpb and there exists –λ∗∈X∗ϖpb such that –λϱ→–λ∗. If for infinite values ϱ∈N, G–λ2ϱ=G–λ∗, we arrive at
–λ∗=limϱ→∞–λ2ϱ+1=limϱ→∞G–λ2ϱ=G–λ∗, |
thereby by proving –λ∗ to be FP of G. Since G–λ2ϱ=G–λ∗=–λ∗, we conclude that RG–λ2ϱ=R–λ2ϱ+1=R–λ∗ and also get
–λ∗=limϱ→∞–λ2ϱ+2=limϱ→∞R–λ2ϱ+1=R–λ∗. |
Thus, R admits an FP viz. –λ∗.
Now, assume that –λ2ϱ+2≠G–λ∗ ∀ ϱ∈N. To prove –λ∗=G–λ∗, 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 ϱ0≥0, 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 ϱ≥0. In this case, for infinitely many ϱ≥0, we have
12ρmin{ϖpbλ(–λ∗,G–λ∗),ϖpbλ(G–λ2ϱ,RG–λ2ϱ)}=12ρmin{ϖpbλ(–λ∗,G–λ∗),ϖpbλ(–λ2ϱ+1,–λ2ϱ+2)}≤ϖpbλ(–λ∗,–λ2ϱ+1). |
Then, by (2.1), we get
ℸ(ρ3ϖpbλ(G–λ∗,RG–λ2ϱ))≤Γ(χ(ϖpbλ(–λ∗,G–λ2ϱ))max{ϖpbλ(–λ∗,G–λ2ϱ),ϖpbλ(–λ∗,G–λ∗),ϖpbλ(G–λ2ϱ,RG–λ2ϱ),ϖpb2λ(–λ∗,RG–λ2ϱ)+ϖpb2λ(G–λ2ϱ,G–λ∗)2ρ}) |
and so, it implies that
ℸ(ρ3ϖpbλ(G–λ∗,–λ2ϱ+2))≤Γ(χ(ϖpbλ(–λ∗,–λ2ϱ+1))max{ϖpbλ(–λ∗,–λ2ϱ+1),ϖpbλ(–λ∗,G–λ∗),ϖpbλ(–λ2ϱ+1,–λ2ϱ+2),ϖpb2λ(–λ∗,–λ2ϱ+2)+ϖpb2λ(–λ2ϱ+1,G–λ∗)2ρ}). | (2.19) |
Then, considering the upper semicontinuity of χ, we achieve
limϱ→∞supχ(ϖpbλ(–λ∗,–λ2ϱ+1))≤χ(0). |
Hence, taking the upper limit as ϱ→∞ in (2.19),
ℸ(ρ3ϖpbλ(G–λ∗,–λ∗))≤Γ(limsupϱ→∞[χ(ϖpbλ(–λ∗,–λ2ϱ+1))max{ϖpbλ(–λ∗,–λ2ϱ+1),ϖpbλ(–λ∗,G–λ∗),ϖpbλ(–λ2ϱ+1,–λ2ϱ+2),ϖpb2λ(–λ∗,–λ2ϱ+2)+ϖpb2λ(–λ2ϱ+1,G–λ∗)2ρ}])≤Γ(χ(0)ϖpbλ(–λ∗,G–λ∗))<ℸ(χ(0)ϖpbλ(–λ∗,G–λ∗)), |
is obtained. Since the mapping ℸ is nondecreasing, we get
ϖpbλ(G–λ∗,–λ∗)≤ρ3ϖpbλ(G–λ∗,–λ∗)≤χ(0)ϖpbλ(–λ∗,G–λ∗), |
which yields –λ∗=G–λ∗.
Similarly, taking –λ2ϱ+1≠R–λ∗ ∀ ϱ∈N, we achieve R–λ∗=–λ∗.
Case (ii): One can see that (2.17) merely holds for finite values ϱ≥0. Consequently, ∃ ϱ0≥0 satisfies (2.18) for any ϱ≥ϱ0. 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 X∗ϖpb=[0,1] and ϖpb:(0,∞)×X×X→[0,∞] be defined by
ϖpbλ(–λ,ℏ)={[max{–λ,ℏ}]2λ+[max{–λ,ℏ}]2,–λ≠ℏ0,–λ=ℏ, |
for all –λ,ℏ∈X. Then, we conclude that ϖpb is a PMbM on X with the coefficient ρ=2. Consider the mappings G,R:X∗ϖpb→X∗ϖpb by G–λ=–λ8 and R–λ=2–λ for all –λ∈X∗ϖpb. Without loss of the generality, we assume that –λ>ℏ≥0. Thereupon, it is clear that ϖpbλ(G–λ,RGℏ)=ϖpbλ(–λ8,ℏ4)>0 such that
12ρmin{ϖpbλ(–λ,G–λ),ϖpbλ(Gℏ,RGℏ)}=14min{ϖpbλ(–λ,–λ8),ϖpbλ(ℏ8,ℏ4)}=14min{–λ2λ+–λ2,(ℏ4)2λ+(ℏ4)2}=ℏ264λ+4ℏ2≤ϖpbλ(–λ,ℏ8)=–λ2λ+–λ2 |
implies
ℸ(ρ3ϖpbλ(G–λ,RGℏ))=ℸ(8ϖpbλ(–λ8,ℏ4))=ℸ(8(–λ8)2λ+(–λ8)2)=ℸ(8–λ264λ+–λ2)≤Γ(χ(ϖpbλ(–λ,Gℏ))max{ϖpbλ(–λ,Gℏ),ϖpbλ(–λ,G–λ),ϖpbλ(Gℏ,RGℏ),ϖpb2λ(–λ,RGℏ)+ϖpb2λ(Gℏ,G–λ)2ρ})=Γ(χ(ϖpbλ(–λ,ℏ8))max{ϖpbλ(–λ,ℏ8),ϖpbλ(–λ,–λ8),ϖpbλ(ℏ8,ℏ4)ϖpb2λ(–λ,ℏ4)+ϖpb2λ(ℏ8,–λ8)4})=Γ(χ(–λ2λ+–λ2)max{–λ2λ+–λ2,ℏ216λ+ℏ214(–λ22λ+–λ2+–λ2128λ+–λ2)})=Γ(χ(–λ2λ+–λ2)–λ2λ+–λ2)<ℸ(χ(–λ2λ+–λ2)–λ2λ+–λ2). |
Moreover, by the property (c1) and considering the features of χ:ˉP→R+, we yield that the inequality
8–λ264λ+–λ2<–λ2λ+–λ2 |
holds for all –λ∈(0,1]. Also, even if ℏ=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 X∗ϖpb be a ϖpb−complete PMbMS with ρ≥1 and G:X∗ϖpb→X∗ϖpb be a self-mapping. For all –λ,ℏ∈X∗ϖpb and all λ>0 with ϖpbλ(G–λ,G2ℏ)>0 such that
12ρϖpbλ(–λ,G–λ)≤ϖpbλ(–λ,Gℏ) |
implies
ℸ(ρ3ϖpbλ(G–λ,G2ℏ))≤Γ(χ(ϖpbλ(–λ,Gℏ))max{ϖpbλ(–λ,Gℏ),ϖpbλ(–λ,G–λ),ϖpbλ(Gℏ,G2ℏ),ϖpb2λ(–λ,G2ℏ)+ϖpb2λ(Gℏ,G–λ)2ρ}), |
χ:ˉP→R+ as upper semicontinuous on ˉP:={ϖpbλ(–λ,ℏ):–λ,ℏ∈X∗ϖpb}, and χ(t)<t for each t∈ˉP and the functions ℸ,Γ:(0,∞)→R, which hold the features of (c1)–(c3). If G is continuous (not necessary), then G admits a UFP in X∗ϖpb, whenever the assumptions (Ξ1) and (Ξ2) are satisfied.
Theorem 2.5. Consider X∗ϖpb to be a ϖpb−complete PMbMS with 1≤ρ and G,R:X∗ϖpb→X∗ϖpb be two self-maps. If (i)–(iii) are contended:
(i) there exist α∈(0,1) and the functions ℸ,Γ:(0,∞)→R, which have the properties of (c1)–(c3) such that
12ρmin{ϖpbλ(–λ,G–λ),ϖpbλ(Gℏ,RGℏ)}≤ϖpbλ(–λ,Gℏ) |
implies
ℸ(ρ3ϖpbλ(G–λ,RGℏ))≤Γ(αmax{ϖpbλ(–λ,Gℏ),ϖpbλ(–λ,G–λ)+ϖpbλ(Gℏ,RGℏ)2,ϖpb2λ(–λ,RGℏ)+ϖpb2λ(Gℏ,G–λ)2ρ}) |
for all –λ,ℏ∈X∗ϖpb 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 X∗ϖpb.
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 X∗ϖpb be a ϖpb−complete PMbMS with ρ≥1 and G,R:X∗ϖpb→X∗ϖpb be two self-maps. If the underneath conditions are contented:
(i) there exist α,β≥0 with α+β<1ρ such that
12ρmin{ϖpbλ(–λ,G–λ),ϖpbλ(ℏ,Rℏ)}≤ϖpbλ(–λ,ℏ) |
implies
ℸ(ρ7ϖ2λ(G–λ,Rℏ))≤Γ(α[ϖpbλ(–λ,G–λ)ϖpbλ(ℏ,Rℏ)+1ρϖpb2λ(–λ,Rℏ)ϖpb2λ(ℏ,G–λ)]+β[ϖpbλ(–λ,G–λ)ϖpb2λ(ℏ,G–λ)+1ρϖpb2λ(–λ,Rℏ)ϖpbλ(ℏ,Rℏ)]) | (2.20) |
for all –λ,ℏ∈X∗ϖpb and all λ>0 with ϖpbλ(G–λ,Rℏ)>0, where the functions ℸ,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 X∗ϖpb.
Proof. Let –λ0∈X∗ϖpb be arbitrary, and ∃ –λ1∈X∗ϖpb with –λ1=G–λ0. Likewise, there exists –λ2∈X∗ϖpb such that –λ2=R–λ1. Continuing in the same manner, we can set up a sequence {–λϱ}ϱ∈N in X∗ϖpb such that
–λ2ϱ+1=G–λ2ϱand–λ2ϱ+2=R–λ2ϱ+1. |
Presume that ϖpbλ(–λϱ,–λϱ+1)=0, ∀ λ>0. Now, taking ϱ=2i for some i∈N 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,G–λ2i),ϖpbλ(–λ2i+1,R–λ2i+1)}≤ϖpbλ(–λ2i,–λ2i+1), |
from (2.20), this implies that
ℸ(ρ7ϖpbλ(G–λ2i,R–λ2i+1)2)≤Γ(α[ϖpbλ(–λ2i,G–λ2i)ϖpbλ(–λ2i+1,R–λ2i+1)+1ρϖpb2λ(–λ2i,R–λ2i+1)ϖpb2λ(–λ2i+1,G–λ2i)]+β[ϖpbλ(–λ2i,G–λ2i)ϖpb2λ(–λ2i+1,G–λ2i)+1ρϖpb2λ(–λ2i,R–λ2i+1)ϖpbλ(–λ2i+1,R–λ2i+1)]). |
Also, let ηi=ϖpbλ(–λi,–λi+1). Then, we get
ℸ(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
ℸ(ρ7η2i+12)≤Γ(βη2i+12)<ℸ(βη2i+12). |
In view of the property (c1), we determine ρ7η2i+12<βη2i+12, a contradiction. Hence, –λ2i+1=–λ2i+2, we obtain –λ2i=G–λ2i=R–λ2i. This ensures –λ2i is a common FP of G and R. In the rest of the analysis, we suppose that –λϱ≠–λϱ+1. Utilizing (2.20), we derive
ℸ(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
(ρ7−β)η2ϱ+1<(α+β)η2ϱ, |
for all ϱ∈N. Since α+β<1ρ, where ρ≥1, we obtain ρ7−β>0, and so
η2ϱ+1<(α+βρ7−β)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}ϱ∈N is a ϖpb− Cauchy sequence in X∗ϖpb. 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,G–λ2ϱq),ϖpbλ(–λ2mq+1,R–λ2mq+1)}≤ϖpbλ(–λ2ϱq,–λ2mq+1) |
is fulfilled. Then, from (2.20), we have
ℸ(ρ7ϖpbλ(G–λ2ϱq,R–λ2mq+1)2)≤Γ(α[ϖpbλ(–λ2ϱq,G–λ2ϱq)ϖpbλ(–λ2mq+1,R–λ2mq+1)+1ρϖpb2λ(–λ2ϱq,R–λ2mq+1)ϖpb2λ(–λ2mq+1,G–λ2ϱq)]+β[ϖpbλ(–λ2ϱq,G–λ2ϱq)ϖpb2λ(–λ2mq+1,G–λ2ϱq)+1ρϖpb2λ(–λ2ϱq,R–λ2mq+1)ϖpbλ(–λ2mq+1,R–λ2mq+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
ℸ(ρ3ε24)=ℸ(ρ7(ε2ρ2)2)≤limsupq→∞ℸ(ρ7ϖpbλ(–λ2ϱq+1,–λ2mq+2)2)≤limsupq→∞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)]) |
<ℸ(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)]])≤ℸ(α[1ρρ2ε2ρ2ε2])=ℸ(αρ3ε24). |
Owing to α+β<1ρ, the last inequality causes a contradiction, that is, we conclude that the sequence {–λϱ}ϱ∈N is a ϖpb− Cauchy sequence in X∗ϖpb. Also, as in the proof of Theorem 2.1, considering the Lemma 1.8 (ii-iii), we acquire that
limρ→∞ϖpbλ(–λϱ,–λ∗)=ϖpbλ(–λ∗,–λ∗)=limρ,m→∞ϖpbλ(–λϱ,–λm),∀λ>0 |
and {–λϱ}ϱ∈N converges to –λ∗ in ϖpb−complete PMbMS X∗ϖpb.
Now, if G is continuous, then we have
ϖpbλ(–λ∗,G–λ∗)=limϱ→∞ϖpbλ(–λ2ϱ,G–λ2ϱ)=limϱ→∞ϖpbλ(–λ2ϱ,–λ2ϱ+1)=0, |
which implies that –λ∗ is a FP of G. Assume that –λ∗≠R–λ∗, that is, ϖpbλ(–λ∗,R–λ∗)>0. Then, because
12ρmin{ϖpbλ(–λ∗,G–λ∗),ϖpbλ(–λ∗,R–λ∗)}≤ϖpbλ(–λ∗,–λ∗), |
from (2.20), we get
ℸ(ρ7ϖpbλ(G–λ∗,R–λ∗)2)≤Γ(α[ϖpbλ(–λ∗,G–λ∗)ϖpbλ(–λ∗,R–λ∗)+1ρϖpb2λ(–λ∗,R–λ∗)ϖpb2λ(–λ∗,G–λ∗)]+β[ϖpbλ(–λ∗,G–λ∗)ϖpb2λ(–λ∗,G–λ∗)+1ρϖpb2λ(–λ∗,R–λ∗)ϖpbλ(–λ∗,R–λ∗)]). |
Note that 1ρϖpb2λ(–λ∗,R–λ∗)≤ϖpbλ(–λ∗,R–λ∗), and by using (c2), the above inequality turns into
ℸ(ρ7ϖpbλ(–λ∗,R–λ∗)2)≤Γ(β[1ρϖpb2λ(–λ∗,R–λ∗)ϖpbλ(–λ∗,R–λ∗)])<ℸ(βϖpbλ(–λ∗,R–λ∗)2), |
such that this conclusion causes a contradiction due to α+β<1ρ, i.e., –λ∗=R–λ∗. Finally, for the uniqueness, let –λ∗ and –λ∗1 be two distinct common FPs of G and R. Hence, ϖpbλ(G–λ∗,R–λ∗1)=ϖpbλ(–λ∗,–λ∗1)>0 and the expression
0=12ρmin{ϖpbλ(–λ∗,G–λ∗),ϖpbλ(–λ∗1,R–λ∗1)}≤ϖpbλ(–λ∗,–λ∗1) |
implies from the inequality (2.20):
ℸ(ρ7ϖpbλ(–λ∗,–λ∗1)2)=ℸ(ρ7ϖpbλ(G–λ∗,R–λ∗1)2)≤Γ(α[ϖpbλ(–λ∗,G–λ∗)ϖpbλ(–λ∗1,R–λ∗1)+1ρϖpb2λ(–λ∗,R–λ∗1)ϖpb2λ(–λ∗1,G–λ∗)]+β[ϖpbλ(–λ∗,G–λ∗)ϖpb2λ(–λ∗1,G–λ∗)+1ρϖpb2λ(–λ∗,R–λ∗1)ϖpbλ(–λ∗1,R–λ∗1)])=Γ(α[1ρϖpb2λ(–λ∗,–λ∗1)2])<ℸ(αϖpbλ(–λ∗,–λ∗1)2). |
This is a contradiction, that is, –λ∗=–λ∗1. 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}ϱ∈N is a ϖpb− Cauchy sequence in X∗ϖpb and there exists –λ∗∈X∗ϖpb such that –λϱ→–λ∗. Thus, if G–λ2ϱ=G–λ∗ for infinite values of ϱ∈N, then we have
–λ∗=limϱ→∞–λ2ϱ+1=limϱ→∞G–λ2ϱ=G–λ∗. |
This proves that –λ∗ is an FP of G. Since G–λ2ϱ=G–λ∗=–λ∗, we conclude that RG–λ2ϱ=R–λ2ϱ+1=R–λ∗. Then, we get
–λ∗=limϱ→∞–λ2ϱ+2=limϱ→∞R–λ2ϱ+1=R–λ∗, |
which means that –λ∗ is an FP of R. We suppose that –λ2ϱ+2≠G–λ∗ for all ϱ∈N. Again, as in Theorem 2.1, we have
12ρmin{ϖpbλ(–λ∗,G–λ∗),ϖpbλ(G–λ2ϱ,RG–λ2ϱ)}≤ϖpbλ(–λ∗,G–λ2ϱ). |
Hence, by (2.20), we obtain
ℸ(ρ7ϖpbλ(G–λ∗,R–λ2ϱ+1)2)≤Γ(α[ϖpbλ(–λ∗,G–λ∗)ϖpbλ(–λ2ϱ+1,R–λ2ϱ+1)+1ρϖpb2λ(–λ∗,R–λ2ϱ+1)ϖpb2λ(–λ2ϱ+1,G–λ∗)]+β[ϖpbλ(–λ∗,G–λ∗)ϖpb2λ(–λ2ϱ+1,G–λ∗)+1ρϖpb2λ(–λ∗,R–λ2ϱ+1)ϖpbλ(–λ2ϱ+1,R–λ2ϱ+1)]), |
and so this implies that
ℸ(ρ7ϖpbλ(G–λ∗,–λ2ϱ+2)2)≤Γ(α[ϖpbλ(–λ∗,G–λ∗)ϖpbλ(–λ2ϱ+1,–λ2ϱ+2)+1ρϖpb2λ(–λ∗,–λ2ϱ+2)ϖpb2λ(–λ2ϱ+1,G–λ∗)]+β[ϖpbλ(–λ∗,G–λ∗)ϖpb2λ(–λ2ϱ+1,G–λ∗)+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;
ℸ(ρ7ϖpbλ(G–λ∗,–λ∗)2)≤limϱ→∞Γ(β[ϖpbλ(G–λ∗,–λ∗)(ρϖpbλ(–λ2ϱ+1,–λ2ϱ+2)+ρϖpbλ(–λ2ϱ+2,G–λ∗))])<ℸ(limϱ→∞[β[ϖpbλ(G–λ∗,–λ∗)(ρϖpbλ(–λ2ϱ+1,–λ2ϱ+2)+ρϖpbλ(–λ2ϱ+2,G–λ∗))]])≤ℸ(βρϖpbλ(G–λ∗,–λ∗)2). |
This means that G–λ∗=–λ∗. Similarly, taking –λ2ϱ+1≠R–λ∗ for all ϱ∈N, we also attain R–λ∗=–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 X∗ϖpb be a ϖpb−complete 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.
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