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Research article Special Issues

Fixed point theorems via auxiliary functions with applications to two-term fractional differential equations with nonlocal boundary conditions

  • In this study, the (h-φ)R and (h-φ)M-contractions with two metrics endowed with a directed graph are examined using auxiliary functions. We propose a set of criteria that guarantees the existence of common fixed points for our contractions. This leads to a generalization of previous results in the literature. Towards our accomplishments, we establish affirmative results that demonstrate solutions to a class of nonlinear two-term fractional differential equations with nonlocal boundary conditions. To further corroborate our major findings, we also provide instances.

    Citation: Teeranush Suebcharoen, Watchareepan Atiponrat, Khuanchanok Chaichana. Fixed point theorems via auxiliary functions with applications to two-term fractional differential equations with nonlocal boundary conditions[J]. AIMS Mathematics, 2023, 8(3): 7394-7418. doi: 10.3934/math.2023372

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  • In this study, the (h-φ)R and (h-φ)M-contractions with two metrics endowed with a directed graph are examined using auxiliary functions. We propose a set of criteria that guarantees the existence of common fixed points for our contractions. This leads to a generalization of previous results in the literature. Towards our accomplishments, we establish affirmative results that demonstrate solutions to a class of nonlinear two-term fractional differential equations with nonlocal boundary conditions. To further corroborate our major findings, we also provide instances.



    One of the most interesting areas in scientific study is regarding natural phenomena, which many researchers have previously investigated in mathematical models through differential operators, see for instance [1,2,3,4,5,6]. Currently, mathematicians are paying a lot of attention to the fractional differential operator since it has been widely used in a variety of fields, including the risk-controlled financial market [7,8,9], engineering and scientific fields [10,11,12,13,14]. To be more precise, recent advances in multi-term fractional differential equations can be found in [15,16,17,18,19,20,21,22,23]. Moreover, research in fractional derivatives of type Caputo and integral operators was performed in [24]. Additionally, the nonlinear two-term fractional differential equations were intensively studied with some scientific publications related to the nonlocal BVPs equations, which are pertinent to the developing topic in [19,20,25,26,27]. It is worth mentioning that the existence and uniqueness of a solution to a differential equation are frequently obtained by using the concepts of fixed point theorem, as seen in [28,29,30,31,32,33]. Therefore, fixed point theory has played an important role in the study of fractional differential operators.

    The idea of a fixed point theorem for metric spaces endowed with graphs was initially proposed by Jachymski [34] in 2008. Since then, other researchers have focused on this concept in a variety of spaces endowed with graphs, see [35,36,37,38,39] for instance. One of the most significant consequences of this generalization is the extension of the well-known Banach contraction principle to the case of metric spaces endowed with graphs, see [35,38].

    There are various ways that mathematicians could investigate fixed point theory. One can consider contractions with Geraghty functions, which are among the most influential ideas in this area, see [40,41,42,43,44,45,46,47,48] for further information. In 2017, Charoensawan and Atiponrat [47] introduced a new class of contractions, namely θ-ϕ-contractions, which are of Geraghty's type. Now, let us recall essential concepts that will be considered throughout this paper below.

    Definition 1.1. [47] Suppose that (X,d) is a metric space endowed with a directed graph G=(V(G),E(G)), and μ,δ:XX are functions. Let us define the following sets:

    X(μ,δ):={uX:(μu,δu)E(G)},C(μ,δ):={uX:μu=δu},

    and

    Cm(μ,δ):={uX:μu=δu=u}.

    We note that C(μ,δ) is the set of all coincidence points of μ and δ. Additionally, Cm(μ,δ) is the set of all common fixed points of μ and δ.

    Lemma 1.2. [47] Let (X,d) be a metric space endowed with a directed graph G=(V(G),E(G)), and let μ,δ:XX be functions. If C(μ,δ), then X(μ,δ).

    Definition 1.3. [47] Let G=(V(G),E(G)) be a directed graph, and let μ,δ:XX be functions. We say that μ is δ-edge preserving with respect to G whenever for each xX,

    if (δx,δy)E(G),then (μx,μy)E(G).

    Definition 1.4. [47] Let (X,d) and (Y,d) be metric spaces, and let μ:XY and δ:XX be functions. We say that μ is δ-Cauchy on X whenever for any sequence {xn} in X with {δxn} being Cauchy in (X,d), the sequence {μxn} is Cauchy in (Y,d).

    On the other hand, Martinez-Moreno et al. [48] demonstrated fascinating results on common fixed point theorems for Geraghty's type contraction mappings employing the monotone property with two metrics as a consequence of d-compatibility and δ-uniform continuity. This motivates us to investigate metric spaces equipped with two distance functions in our work.

    Due to their numerous scientific applications, fractional differential equations have garnered a lot of attention from mathematicians in recent years. As can be seen, for example, in [49,50,51,52], that fixed point theory has strongly contributed to the knowledge of fractional differential equations. In addition, it is worth emphasizing that our recent work is inspired by Karapınar's investigation of the fixed point theorem using auxiliary functions in [52], which provided insight into its usefulness for fractional differential equations. Therefore, in this research, we replace θ-ϕ contraction mappings with auxiliary functions to improve the outcomes in [31,47]. This enables us to derive actual criteria for the existence of common fixed points in the setting of auxiliary functions endowed with two metrics and a directed graph. Subsequently, we provide the applications for a class of nonlinear two-term fractional differential equations in our third section.

    Study results about the existence of common fixed points for auxiliary functions with two metrics endowed with a directed graph are presented in this section. Let us first define the classes of functions that will be taken into account in this task.

    Assume that φ:[0,)[0,) is a function with the properties listed below:

    φ is increasing and continuous,

    φ(r)=0 if and only if r=0.

    The set of all functions φ satisfying the aforementioned constraints will be referred to as Φ going forward.

    In spired by [52], we define the class A(X) consisting all auxiliary functions h:X×X[0,1] such that

     if limnh(xn,yn)=1, then limnd(xn,yn)=0 (2.1)

    for all sequences {xn} and {yn} in X with {d(xn,yn)} is decreasing, where (X,d) is a metric space.

    Example 2.1. [52] Let h1,h2:R×R[0,1], for all x,yR, defined by

    (1) h1(x,y)=c for some c(0,1),

    (2) h2(x,y)=11+x+y.

    Then h1,h2A(X).

    Lemma 2.2. For a sequence {xn} in a metric space (X,d) and a function δ:XX such that

    limnd(δxn,δxn+1)=0,

    if {δxn} is not a Cauchy sequence, then there exists ϵ>0 such that, for all kN, there are nk,mkN with nk>mkk satisfying nk is the smallest number such that

    d(δxnk,δxmk)ϵ and d(δxnk1,δxmk)<ϵ.

    Then, we obtain

    ε=limkd(δxmk,δxnk)=limkd(δxmk+1,δxnk+1).

    Proof. Suppose that {δxn} is not Cauchy. By definition, there is a positive number ϵ>0 such that for all kN, there are nk,mkN with nk>mkk satisfying nk is the smallest number such that

    d(δxnk,δxmk)ϵ and d(δxnk1,δxmk)<ϵ.

    This means

    ϵd(δxmk,δxnk)d(δxmk,δxnk1)+d(δxnk1,δxnk)<ϵ+d(δxnk1,δxnk). (2.2)

    Letting k and applying the fact that limnd(δxn,δxn+1)=0, we receive

    limkd(δxmk,δxnk)=ϵ>0. (2.3)

    Consider, by the triangle inequality, that

    d(δxmk,δxnk)d(δxmk,δxmk+1)+d(δxmk+1,δxnk+1)+d(δxnk+1,δxnk),

    and

    d(δxm(k+1),δxnk+1)d(δxm(k+1),δxmk)+d(δxmk,δxnk)+d(δxnk,δxnk+1).

    Then, we obtain

    d(δxmk,δxnk)d(δxmk,δxmk+1)d(δxnk+1,δxnk)d(δxmk+1,δxnk+1)d(δxmk+1,δxmk)+d(δxmk,δxnk)+d(δxnk,δxnk+1).

    By

    limnd(δxn,δxn+1)=0,

    and taking k to in (2.2), we obtain

    ε=limkd(δxmk,δxnk)limkd(δxmk+1,δxnk+1)limkd(δxmk,δxnk)=ε.

    Thus,

    limkd(δxmk+1,δxnk+1)=limkd(δxmk,δxnk)=ε.

    Here, we are ready to define a new category of contractions defined as follows. Let (X,d,μ,δ,G) refer to a structure throughout this work that has the properties listed below:

    X and (X,d) is a metric space,

    X is endowed with a directed grahp G=(V(G),E(G)),

    μ and δ are self mappings,

    μ is δ-edge preserving with respect to G.

    Lemma 2.3. On (X,d,μ,δ,G). Let a sequence {xn} in X such that

    limnδxn=limnμxn=u,

    where uX and (δxn1,δxn)E(G). If μ is G-continuous, with μ and δ being d-compatible, then uC(μ,δ).

    Proof. Let {xn} in X such that

    limnδxn=limnμxn=u,

    where uX, and (δxn1,δxn)E(G). Additionally, we conclude that

    limnd(δμxn,μδxn)=0 (2.4)

    due to μ and δ being d-compatible. Finally, we consider

    d(δu,μu)d(δu,δμxn)+d(δμxn,μδxn)+d(μδxn,μu).

    By combining the continuity of δ with the notion that μ is G-continuous, (δxn1,δxn)E(G) and using (2.4), it can be concluded that d(δu,μu)=0 when n. As a result, δu=μu, which indicates that u is a coincidence point of μ and δ. Thus, uC(μ,δ).

    Definition 2.4. On (X,d,μ,δ,G). If the following criteria are satisfied, the pair (μ,δ) will be referred to as an (h-φ)R-contraction with regard to d. There exists hA(X) and φΦ with (δx,δy)E(G) for x,yX, we have

    φ(d(μx,μy))h(δx,δy)φ(R(δx,δy)),

    where R:X×X[0,) is defined by

    R(δx,δy)=max{d(δx,μx)d(μy,δy)d(δx,δy)+|d(δx,δy)d(δx,μx)|,d(δx,δy)+|d(δx,μx)d(δy,μy)|,d(δx,μx)+|d(δx,δy)d(δy,μy)|,d(δy,μy)+|d(δx,δy)d(δx,μx)|,d(δx,μy)+d(δy,μx)+|d(δx,δy)d(μx,μy)|2},

    for x,yX.

    The result in [47] can be applied to the case of auxiliary functions owing to the aforementioned definition. In actuality, we are now prepared to demonstrate and present our key findings. The motivation for the following theorem comes from [53] and incorporates two metrics.

    Theorem 2.5. On (X,d,μ,δ,G), let (X,d) be a complete metric space, and let d be another metric on X. Assume that (μ,δ) is an (h-φ)R-contraction with respect to d and that the following criteria are satisfied.

    (1) δ:(X,d)(X,d) is continuous, and δ(X) is d-closed,

    (2) μ(X)δ(X),

    (3) The transitivity property of E(G) holds,

    (4) If dd, suppose that μ:(X,d)(X,d) is δ-Cauchy on X,

    (5) μ:(X,d)(X,d) is G-continuous, and μ and δ are d-compatible.

    Consequently, it can be seen that

    X(μ,δ)C(μ,δ).

    Proof. () This derives from Lemma 1.2.

    () Assume that X(μ,δ) and x0X with (δx0,μx0)E(G). According to the assumption that μ(X)δ(X) and μ(x0)X, we could establish a sequence {xn} in X such that δxn=μxn1 for every nN. If there exists n0N such that δxn0=δxn01, then xn01 is a coincidence point of μ and δ. We may therefore now assume that δxnδxn1 for all nN.

    Because (δx0,μx0)=(δx0,δx1)E(G) and μ is δ-edge preserving with respect to G, it is precise to state that (μx0,μx1)=(δx1,δx2)E(G). We obtain (δxn1,δxn)E(G) for every nN through mathematical induction. As (μ,δ) is an (h-φ)R-contraction with respect to d, for each n0,

    φ(d(δxn+1,δxn+2))=φ(d(μxn,μxn+1))h(δxn,δxn+1)φ(R(δxn,δxn+1))φ(R(δxn,δxn+1)). (2.5)

    Additionally, a straightforward calculation demonstrates that

    R(gxn,gxn+1)=max{d(δxn,μxn)d(μxn+1,δxn+1)d(δxn,δxn+1)+|d(δxn,δxn+1)d(δxn,μxn)|,d(δxn,δxn+1)+|d(δxn,μxn)d(δxn+1,μxn+1)|,d(δxn,μxn)+|d(δxn,δxn+1)d(δxn+1,μxn+1)|,d(δxn+1,μxn+1)+|d(δxn,δxn+1)d(δxn,μxn)|,d(δxn,μxn+1)+d(δxn+1,μxn)+|d(δxn,δxn+1)d(μxn,μxn+1)|2}
    =max{d(δxn,δxn+1)d(δxn+2,δxn+1)d(δxn,δxn+1)+|d(δxn,δxn+1)d(δxn,δxn+1)|,d(δxn,δxn+1)+|d(δxn,δxn+1)d(δxn+1,δxn+2)|,d(δxn,δxn+1)+|d(δxn,δxn+1)d(δxn+1,δxn+2)|,d(δxn+1,δxn+2)+|d(δxn,δxn+1)d(δxn,δxn+1)|,d(δxn,δxn+2)+d(δxn+1,δxn+1)+|d(δxn,δxn+1)d(δxn+1,δxn+2)|2}
    =max{d(δxn+2,δxn+1),d(δxn,δxn+1)+|d(δxn,δxn+1)d(δxn+1,δxn+2)|,d(δxn,δxn+1)+|d(δxn,δxn+1)d(δxn+1,δxn+2)|,d(δxn+1,δxn+2),d(δxn,δxn+2)+|d(δxn,δxn+1)d(δxn+1,δxn+2)|2}.

    If we denote by

    gn=d(δxn,δxn+1).

    As d(δxn,δxn+2)d(δxn,δxn+1)+d(δxn+1,δxn+2), we get

    R(δxn,δxn+1)max{δn+1,δn+|δnδn+1|,δn+δn+1+|δnδn+1|2}.

    Now, suppose that δn is not decreasing, then there exists CN such that δCδC+1 so we have

    R(δxC,δxC+1)δC+1.

    By the inequality (2.5) and the property of φ, we obtain

    φ(δC+1)h(δxC,δxC+1)φ(R(δxC,δxC+1))h(δxC,δxC+1)φ(δC+1)φ(δC+1).

    Since for every nN, δxnδxn1, we have δC+1=d(δxC+1,δxC+2)>0 which follows from the above inequality, we get h(δxC,δxC+1)=1. By the fact that hA(X), we obtain d(δxC,δxC+1)=0. It is a contradiction. Therefore, δn is decreasing, δn>δn+1 for all n0, we have

    R(δxn,δxn+1)max{2δnδn+1,δn,δn+1}=R(n).

    Since δn is bounded below, the sequence converges. Let

    limnδn=L0.

    Contrarily, suppose that L>0. Due to the property of φ, limnφ(δn)=φ(L)>0. By (2.5), it is demonstrated that

    φ(δn+1)=φ(d(μxn,μxn+1))h(δxn,δxn+1)φ(R(δxn,δxn+1))h(δxn,δxn+1)φ(R(n))φ(R(n)).

    In the inequality above, when we take n, we obtain

    1=limnφ(δn+1)φ(R(n))limnh(δxn,δxn+1)1.

    Therefore, limnh(δxn,δxn+1)=1. According to the notion of auxiliary functions,

    limnd(δxn,δxn+1)=limnδn=0,

    which contradicts to the assumption. So, limnd(δxn,δxn+1)=0.

    The sequence {δxn} has to be Cauchy, as we will demonstrate next. Contrarily, suppose that {δxn} is not Cauchy. Then there exists ϵ>0 such that, for all kN, there are nk,mkN with nk>mkk satisfying nk is the smallest number such that

    d(δxnk,δxmk)ϵ and d(δxnk1,δxmk)<ϵ.

    By Lemma 2.2, this implies

    limkd(δxmk+1,δxnk+1)=limkd(δxmk,δxnk)=ε.

    We determine that (δxmk,δxnk)E(G) for each kN owing to the transitivity property of E(G). As a result,

    φ(d(δxmk+1,δxnk+1))=φ(d(μxmk,μxnk))h(δxmk,δxnk)φ(R(δxmk,δxnk)), (2.6)

    where

    R(δxmk,δxnk)=max{d(δxmk,μxmk)d(μxnk,δxnk)d(δxmk,δxnk)+|d(δxmk,δxnk)d(δxmk,μxmk)|,d(δxmk,δxnk)+|d(δxmk,μxmk)d(δxnk,μxnk)|,d(δxmk,μxmk)+|d(δxmk,δxnk)d(δxnk,μxnk)|,d(δxnk,μxnk)+|d(δxmk,δxnk)d(δxmk,μxmk)|,d(δxmk,μxnk)+d(δxnk,μxmk)+|d(δxmk,δxnk)d(μxmk,μxnk)|2}
    =max{d(δxmk,δxmk+1)d(δxnk+1,δxnk)d(δxmk,δxnk)+|d(δxmk,δxnk)d(δxmk,δxmk+1)|,d(δxmk,δxnk)+|d(δxmk,δxmk+1)d(δxnk,δxnk+1)|,d(δxmk,δxmk+1)+|d(δxmk,δxnk)d(δxnk,δxnk+1)|,d(δxnk,δxnk+1)+|d(δxmk,δxnk)d(δxmk,δxmk+1)|,d(δxmk,δxnk+1)+d(δxnk,δxmk+1)+|d(δxmk,δxnk)d(δxmk+1,δxnk+1)|2}.

    Since limnd(δxn,δxn+1)=0, applying the preceding equality with k means that

    limkR(δxmk,δxnk)=limkd(δxmk,δxnk)=ϵ>0.

    Combining the aforementioned fact with the inequality (2.6), we obtain

    1=limkφ(d(δxmk,δxnk))φ(R(δxmk,δxnk))limkh(δxmk,δxnk)1.

    As a result, limkh(δxmk,δxnk)=1. Then, limkd(δxmk,δxnk)=0, which contradicts to (2.3). That {δxn} is Cauchy in (X,d) must therefore be true.

    In the following part, we demonstrate that in the metric space (X,d), {δxn} is also Cauchy. The proof is simple when dd. The case dd is therefore taken into consideration. Let ε>0. We conclude that {μxn} is Cauchy in (X,d) since {δxn} is Cauchy in (X,d) and μ is δ-Cauchy on X. So, there exists N0N such that

    d(δxn+1,δxm+1)=d(μxn,μxm)<ε,n,mN0.

    The sequence {δxn} is therefore Cauchy in (X,d).

    Since δ(X) is a d-closed subset of (X,d), which is complete, it follows that u=δxδ(X) exists satisfying

    limnδxn=limnμxn=u.

    Since assumption (5), by Lemma 2.3 which indicates that u is a coincidence point of μ and δ. Thus, uC(μ,δ).

    We analyze the scenario in which the two metrics d and d coincide in our next theorem.

    Definition 2.6. On (X,d,μ,δ,G). If the following criteria are satisfied, the pair (μ,δ) will be referred to as an {(h-φ)M-contraction with regard to d}. There exists hA(X) and φΦ with (δx,δy)E(G) for x,yX, we have

    φ(d(μx,μy))h(δx,δy)φ(M(δx,δy)),

    where M:X×X[0,) is defined by

    M(δx,δy)=max{d(δx,μx)[1+d(δy,μy)]1+d(δx,δy)+|d(δx,δy)d(δx,μx)|,d(δy,μy)[1+d(δx,μx)]1+d(δx,δy)+|d(δx,δy)d(δx,μx)|,d(δx,δy)+|d(δx,μx)d(δy,μy)|},

    for x,yX.

    Theorem 2.7. On (X,d,μ,δ,G), let (X,d) be a complete metric space with an (h-φ)M-contraction (μ,δ). Suppose that the following criteria are satisfied.

    (1) δ is continuous, and δ(X) is closed.

    (2) μ(X)δ(X).

    (3) The transitivity property E(G) holds. (4) At least one of the statements below is satisfied.

    (a) μ is G-continuous, and μ and δ are d-compatible,

    (b) (X,d,G) has the property A in [34], and

    if limnh(δxn,δyn)=1, then limnd(μxn,μyn)=0.

    Consequently, we obtain that

    X(μ,δ)C(μ,δ).

    Proof. () This derives from Lemma 1.2.

    () Assume that X(μ,δ) and x0X with (δx0,μx0)E(G). According to the assumption that μ(X)δ(X) and μ(x0)X, we could establish a sequence {xn} in X such that δxn=μxn1 for every nN. If there exists n0N such that δxn0=δxn01, then xn01 is a coincidence point of μ and δ. We may therefore now assume that δxnδxn1 for all nN.

    Because (δx0,μx0)=(δx0,δx1)E(G) and μ is δ-edge preserving with respect to G, it is precise to state that (μx0,μx1)=(δx1,δx2)E(G). We obtain (δxn1,δxn)E(G) for every nN through mathematical induction. As (μ,δ) is an (h-φ)M-contraction with respect to d, for each n0,

    φ(d(δxn+1,δxn+2))=φ(d(μxn,μxn+1))h(δxn,δxn+1)φ(M(δxn,δxn+1))φ(M(δxn,δxn+1)). (2.7)

    Additionally, a straightforward calculation demonstrates that

    M(δxn,δxn+1)=max{d(δxn,μxn)[1+d(δxn+1,μxn+1)]1+d(δxn,δxn+1)+|d(δxn,δxn+1)d(δxn,μxn)|,d(δxn+1,μxn+1)[1+d(δxn,μxn)]1+d(δxn,δxn+1)+|d(δxn,δxn+1)d(δxn,μxn)|,d(δxn,δxn+1)+|d(δxn,μxn)d(δxn+1,μxn+1)|}
    =max{d(δxn,δxn+1)[1+d(δxn+1,δxn+2)]1+d(δxn,δxn+1)+|d(δxn,δxn+1)d(δxn,δxn+1)|,d(δxn+1,δxn+2)[1+d(δxn,δxn+1)]1+d(δxn,δxn+1)+|d(δxn,δxn+1)d(δxn,δxn+1)|,d(δxn,δxn+1)+|d(δxn,δxn+1)d(δxn+1,δxn+2)|}
    =max{d(δxn,δxn+1)[1+d(δxn+1,δxn+2)]1+d(δxn,δxn+1),d(δxn+1,δxn+2),d(δxn,δxn+1)+|d(δxn,δxn+1)d(δxn+1,δxn+2)|}.

    If we denote by

    gn=d(δxn,δxn+1).

    We have

    M(δxn,δxn+1)max{δn(1+δn+1)1+δn,δn+1,δn+|δnδn+1|}.

    Now, suppose that δn is not decreasing, then there exists CN such that δCδC+1, we have

    M(δxC,δxC+1)=δC+1,

    then by the inequality (2.7), we have

    φ(δC+1)h(δxC,δxC+1)φ(M(δxC,δxC+1))=h(δxC,δxC+1)φ(δC+1)φ(δC+1).

    Since for every nN, δxnδxn1, we have δC+1=d(δxC+1,δxC+2)>0 which follows from the above inequality, we get h(δxC,δxC+1)=1. By the fact that hA(X), we obtain d(δxC,δxC+1)=0. It is a contradiction. Therefore, δn is decreasing, δn>δn+1 for all n0, we have

    M(δxn,δxn+1)=max{2δnδn+1,δn,δn+1}.

    Since δn is bounded below, the sequence converges. Let

    limnδn=C0.

    Contrarily, suppose that C>0. Due to the property of φ, limnφ(δn)=φ(C)>0. By (2.7), it is demonstrated that

    ϕ(δn+1)=ϕ(d(μxn,μxn+1))h(δxn,δxn+1)ϕ(M(δxn,δxn+1))ϕ(M(δxn,δxn+1)).

    In the inequality above, when we take n, we obtain

    1=limnϕ(δn+1)ϕ(M(δxn,δxn+1))limnh(δxn,δxn+1)1.

    Therefore, limnh(δxn,δxn+1)=1. According to the notion of auxiliary functions,

    limnd(δxn,δxn+1)=limnδn=0,

    which contradicts to the assumption. So, limnd(δxn,δxn+1)=0.

    The sequence {δxn} has to be Cauchy, as we will demonstrate next. Contrarily, suppose that {δxn} is not Cauchy. Then there exists ϵ>0 such that, for all kN, there are nk,mkN with nk>mkk satisfying nk is the smallest number such that

    d(δxnk,δxmk)ϵ and d(δxnk1,δxmk)<ϵ.

    By Lemma 2.2, this implies

    limkd(δxmk+1,δxnk+1)=limkd(δxmk,δxnk)=ε.

    We determine that (δxmk,δxnk)E(G) for each kN owing to the transitivity property of E(G). As a result,

    φ(d(δxmk+1,δxnk+1))=φ(d(μxmk,μxnk))h(δxmk,δxnk)φ(M(δxmk,δxnk)), (2.8)

    where

    M(δxmk,δxnk)=max{d(δxmk,μxmk)[1+d(δxnk,μxnk)]1+d(δxmk,δxnk)+|d(δxmk,δxnk)d(δxmk,μxmk)|,d(δxnk,μxnk)[1+d(δxmk,μxmk)]1+d(δxmk,δxnk)+|d(δxmk,δxnk)d(δxmk,μxmk)|,d(δxmk,δxnk)+|d(δxmk,μxmk)d(δxnk,μxnk)|}
    =max{d(δxmk,δxmk+1)[1+d(δxnk,δxnk+1)]1+d(δxmk,δxnk)+|d(δxmk,δxnk)d(δxmk,δxmk+1)|,d(δxnk,δxnk+1)[1+d(δxmk,δxmk+1)]1+d(δxmk,δxnk)+|d(δxmk,δxnk)d(δxmk,δxmk+1)|,d(δxmk,δxnk)+|d(δxmk,δxmk+1)d(δxnk,δxnk+1)|}.

    Since limnd(δxn,δxn+1)=0, applying the preceding equality with k means that

    limkM(δxmk,δxnk)=limkd(δxmk,δxnk)=ϵ>0.

    Combining the aforementioned fact with the inequality (2.8), we obtain

    1=limkφ(d(δxmk+1,δxnk+1))φ(M(δxmk,δxnk))limkh(δxmk,δxnk)1.

    As a result, limkh(δxmk,δxnk)=1. Then, limkd(δxmk,δxnk)=0, which contradicts to (2.3). That {δxn} is Cauchy in (X,d) must therefore be true.

    Since δ(X) is a d-closed subset of (X,d), which is complete, it follows that there exists x,uX such that u=δxδ(X) satisfying

    limnδxn=limnμxn=u. (2.9)

    Since assumption (a), by Lemma 2.3 which indicates that u is a coincidence point of μ and δ. Thus uC(μ,δ).

    Assume that the statement (b) is satisfied. Because of (2.9), we assert that x must be a coincidence point of μ and δ. On the other hand, suppose that x is not a coincidence point of μ and δ. As a result, μxδx and thus d(μx,δx)>0. Since the triple (X,d,G) has the property A, (δxn,δx)E(G) for all nN. Consequently,

    d(δx,μx)d(δx,μxnk)+d(μxnk,μx).

    Hence,

    d(δx,μx)d(δx,μxnk)d(μxnk,μx).

    The definition of φ actually proves that

    φ(d(δx,μx)d(δx,μxnk))φ(d(μxnk,μx))h(δxnk,δx)φ(M(δxnk,δx))<φ(M(δxnk,δx)), (2.10)

    where

    M(δxnk,δx)=max{d(δxnk,μxnk)[1+d(δx,μx)]1+d(δxnk,δx)+|d(δxnk,δx)d(δxnk,μxnk)|,d(δx,μx)[1+d(δxnk,μxnk)]1+d(δxnk,δx)+|d(δxnk,δx)d(δxnk,μxnk)|,d(δxnk,δx)+|d(δxnk,μxnk)d(δx,μx)|}.

    In the equation above, when we take n and use (2.9), we obtain

    limkM(δxnk,δx)=d(δx,μx)>0.

    By the attribute of φ, we get

    limkφ(M(δxnk,δx))=φ(d(δx,μx))>0.

    Then, taking k in (2.10) gives us that limkh(δxnk,δx)=1. This implies

    d(δx,μx)=limkd(μxnk,μx)=0,

    which is a contradiction. As a result, μx=δx, and we can derive that μ and δ have x as one of their coincidence points.

    By applying an additional assumption, as in the following theorem, we could reach a stronger conclusion on the presence of a common fixed point.

    Theorem 2.8. Let us apply all the notations and requirements from Theorem 2.5. Moreover, suppose additionally that

    (6) It is precise to state that (δx,δy) is in E(G) for any x,yC(μ,δ) with δxδy.

    Consequently, we obtain

    X(μ,δ) if and only if Cm(μ,δ).

    Proof. By proving Theorem 2.5, it is sufficient to account for the only if case with the assumption that the statement (6) above holds. There exists an element xX such that δx=μx, according to Theorem 2.5.

    Initially, let us assume that yX is also a coincidence point, i.e., δy=μy. We will show that δx=δy. Contrarily, suppose that δxδy, we have d(δx,δy)>0. By statement (6) above, (δx,δy)E(G), which concludes

    φ(d(μx,μy))h(δx,δy)φ(R(δx,δy))φ(R(δx,δy))=φ(d(μx,μy)).

    Due to the property of φ, h(δx,δy)=1, we have d(δx,δy)=0. It is a contradiction. Therefore, δx=δy.

    The next step is to put x0=x and utilize the statement (2) from Theorem 2.5 to establish a sequence {xn} such that δxn=μxn1 for every nN. As x is a coincidence point, we could suppose that xn=x, then δxn=μx for each nN.

    In order for δz=δδx=δμx, allow z=δx. Note also that δxn=μx=μxn1 for any nN. Therefore,

    limnμxn=limnδxn=μx

    in (X,d). Furthermore,

    limnd(δμxn,μδxn)=0,

    because μ and δ are d-compatible. This indicates that δμx=μδx. Thus, δz=δμx=μδx=μz so zC(μ,δ). Following the proof above, we have μz=δz=δx=z. Hence, zCm(μ,δ).

    Theorem 2.9. Let us apply all the notations and requirements from Theorem 2.7. Moreover, suppose additionally that

    (6) It is precise to state that (δx,δy) is in E(G) for any x,yC(μ,δ) with δxδy.

    Consequently, we obtain

    X(μ,δ) if and only if Cm(μ,δ).

    To support our main findings, we provide an example.

    Example 2.10. Let X=[0,)R, and d,d:X×X[0,) be such that

    d(x,y)=|xy|andd(x,y)=L|xy|,

    for all x,yX with a constant L(1,). We note that d and d are metrics. Additionally, it is obvious that d<d by the way we specify our metrics. Then, assume

    E(G)={(x,y):x=y or x,y[0,1] with xy}.

    Moreover, let μ:XX and δ:XX be given by

    δx=x2 and μx=ln(1+x27),

    for all xX. In order for the pair (μ,δ) to be an (h-φ)R-contraction with regard to d, the conditions (1) and (2) must be satisfied, which we shall demonstrate.

    First, let (δx,δy)E(G). It is noticeable that (μx,μy)E(G) if x=y. In contrast, if (δx,δy)E(G) and δxδy, then δx=x2, δy=y2[0,1] and x2=δxδy=y2. Hence,

    μx=ln(1+x27)ln(1+y27)=μy

    and μx,μy[0,1]. Thus, (μx,μy)E(G).

    Second, set ϕ(t)=7t, and define h:X×X[0,1) by the following equation.

    h(x,y)={arctan(|xy|7)ψ(x,y) if xy,0 if x=y

    where

    ψ(x,y)=2|xy|+ln(7+x7+y).

    We first note that the function

    ψ(x,y)=2|xy|+ln(7+x7+y)

    is positive for x,y>0. In the case of x>y, it is easy to see that ψ(x,y)>0. On the other hand, we observe that

    ψ(x,y)=2(yx)+ln(7+x7+y)=(yx)+yln(1+y7)x+ln(1+x7).

    Since, the function γ(x)=xln(1+x7) is an increasing function. As a result, we conclude that ψ(x,y) is a positive function, therefore, h(x,y) is also a positive function. It is straightforward to prove that ϕΦ and hA(X). The profile of the function h(x,y) is plotted in Figure 1.

    Figure 1.  The profile of the function h(x,y).

    Next, let x,yX such that (δx,δy)E(G). If δx=δy, then x=y so that the requirement (2) holds. In the case of x2=δx<δy=y2, it follows that

    ϕ(d(μx,μy))=7d(μx,μy)=7|ln(1+x27)ln(1+y27)|=7ln(1+y271+x27)=7ln(1+y27x271+x27)7ln(1+|x27y27|)7arctan(|x27y27|)7arctan(|x2y2|)ψ(x2,y2)ψ(x2,y2).

    To obtain the requirements, using x<y, we see that

    ψ(x2,y2)=2(y2x2)ln(1+y27)+ln(1+x27)=d(x,y)+[y2ln(1+y27)x2+ln(1+x27)]=d(x,y)+|d(δy,μy)d(δx,ˆfy)|,

    which yields

    ϕ(d(μx,μy))h(x,y)(d(x,y)+|d(δy,μy)d(δx,μy)|)h(x,y)R(δx,δy).

    Consequently, the pair (μ,δ) satisfies condition (2).

    We will demonstrate that the requirements (1) through (5) of Theorem 2.5 attained in the final part of this example.

    (1) δ:(X,d)(X,d) is obviously continuous, and δ(X)=[0,) is also d-closed,

    (2) It is observable that μ(X)=δ(X)=X,

    (3) The transitivity property E(G) holds,

    (4) Because d<d, we shall demonstrate that μ:(X,d)(X,d) is δ-Cauchy. Assuming ϵ>0 and a sequence {xn} in X where {δxn} is Cauchy in (X,d), there exists NN such that d(δxn,δxm)<ϵL for any n,mN. Therefore,

    d(μxn,μxm)=L|μxnμym|=L|ln(1+(xn)27)ln(1+(xm)27)|=L|ln(1+(xm)271+(xn)27)|=L|ln(1+(xm)27(xn)271+(xn)27)|L[ln(1+|(xn)27(xm)27|)]L|(xn)27(xm)27|<L|(xn)2(xm)2|=Ld(δxn,δxm)<L(ϵL)=ϵ.

    This pertains to μ:(X,d)(X,d) being δ-Cauchy.

    (5) μ:(X,d)(X,d) is obviously G-continuous. In addition, μ and δ are d-compatible since for every sequence {xn} in X with

    limnδxn=limnμxn=x,

    it has the consequence that ln(1+x7)=x. This concludes x=0. As n,

    d(δμxn,μδxn)=L|(ln(1+(xn)27))2ln(1+(xn)47)|0.

    Finally, it is noticeable that (δ0,μ0)=(0,0)E(G) so X(μ,δ) is nonempty. From Theorem 2.5, C(μ,δ) is nonempty. In actuality, it is clear that 0C(μ,δ).

    Numerous scientific studies state that the theory of fractional differential equations has become more popular as a result of its applications in a variety of engineering and scientific fields, for instance, see [10,11,12,13,14]. Therefore, we apply our findings in this section to investigate the existence of any solutions to curtain Caputo fractional boundary value problems with nonlocal boundary conditions. Multi-term fractional differential equations have recently made significant contributions [15,16,17,18,19,20,21,22,23]. Motivated by [21,22,23], we study the nonlinear two-term fractional differential equations in the following form:

    cDαy(t)+bcDβy(t)=f(t,y(t)),t[0,1], (3.1)

    with the nonlocal boundary conditions

    y(0)=0,andy(1)=y(η),η(0,1) (3.2)

    where α, β are arbitrary real constants with 0β1<α2, and f:[0,1]×RR is continuous. It is worth noting that nonlocal BVPs appear to be more intriguing than local ones due to their greater naturalness and the variety of applications they offer. Additionally, the local conditions y(0)=0 and y(1)=0 can be considered as the limit case of (3.2) when η1. Here, we provide some scientific publications related to the nonlocal BVPs equations, which are relevant to the developing topic in [19,20,25,26,27].

    Recalling the definition of the Caputo fractional derivative and its related definitions is necessary before moving on to the outcomes of existence. Let α be a positive real number. The Caputo derivative of fractional order α is defined as follows for a continuous function y(t):

    cDαy=IααDαy,

    where α is the smallest integer which is greater than α and Iα is the Riemann-Liouville integral operator of order α0 defined by

    Iαy(t)=1Γ(α)t0(ts)α1y(s)ds.

    Noting that when α=0, the operator I0 is referred to the identity operator and the gamma function Γ is defined by

    Γ(α)=0tα1etdt.

    The fractional integral satisfies the following equalities:

    IαIβy(t)=Iα+βy(t),α,β0,Iαtk=Γ(k+1)Γ(α+k+1)tα+k,α,k1.

    Additionally, according to the αorder Caputo fractional derivative and its integer-ordered, we get

    IαDαy(t)=y(t)m1k=0y(k)(0)tkk!,m1<mα. (3.3)

    In order to obtain our goal, we suppose that y:[0,1]R is a solution of the systems (3.1) and (3.2). We see that

    Iαf(t,y(t))=Iα[cDαy(t)]+bIα[cDβy(t)]=y(t)+a0+a1t+bIαβIβ[cDβy(t)]=y(t)+a0+a1t+bIαβ[y(t)+a0]=y(t)+a0+a1t+bIαβy(t)+a0bΓ(αβ+1)tαβ.

    Consequently, we have

    y(t)=a0+a0bΓ(αβ+1)tαβ+a1t+bIαβy(t)Iαf(t,y(t)). (3.4)

    This implies that the initial value problem (BVP) (3.1) and (3.2) is equivalent to the Volterra integral equation in a specific type. We have a0=0 by applying the boundary conditions y(0)=0. The solution is consequently condensed to

    y(t)=a1t+bIαβy(t)Iαf(t,y(t)).

    Applying the boundary condition y(1)=y(η) allows us to have the coefficient

    a1=11η[1Γ(α)10Gα(s;η)f(s,y(s))dsbΓ(αβ)10Gαβ(s;η)f(s,y(s))ds],

    where the function G:R×RR is defined by

    Gγ(s;η)={(1s)γ1(ηs)γ1,0sη,(1s)γ1,s>η.

    Substituting the value of a1 in the expressions for y(t), we get the solution of the BVP (3.1) and (3.2) as the solution of the Volterra integral equation in the following form:

    y(t)=t1η[1Γ(α)10Gα(s;η)f(s,y(s))dsbΓ(αβ)10Gαβ(s;η)f(s,y(s))ds]+bΓ(αβ)t0(ts)αβ1y(s)ds1Γ(α)t0(ts)α1f(s,y(s))ds. (3.5)

    Next, an integral operator is typically used to establish a fixed point problem. In our case, we consider the integral operator T:C[0,1]C[0,1] defined by

    T(y)(t)=t1η[1Γ(α)10Gα(s;η)f(s,y(s))dsbΓ(αβ)10Gαβ(s;η)f(s,y(s))ds]+bΓ(αβ)t0(ts)αβ1y(s)ds1Γ(α)t0(ts)α1f(s,y(s))ds. (3.6)

    We can observe that the solution of BVP (3.1) and (3.2) is given by Ty=y. In order to achieve the existence of the solutions, we let ξ:R2R, E(G)={(u,v)R2:ξ(u,v)0} and consider the following conditions:

    (H1) There exists u0C[0,1] such that ξ(u0,T(u0))0 for all t[0,1].

    (H2) For all t[0,1] and u,vC[0,1],

    ξ(u,v)0ξ(Tu(t),Tv(t))0.

    (H3) For all v,u,wC[0,1] and t[0,1],

    ξ(u(t),v(t))0 and ξ(v(t),w(t))0 together imply ξ(u(t),w(t))0.

    (H4) For any t[0,1] and for all u,vR with ξ(u,v)0, there is a positive constant L such that

    |f(t,u)f(t,v)|L|uv|.

    Here, we provide the following useful lemma related to the conditions that appeared in the main theorem of this section. The results can be verified straightforwardly, therefore, we leave the proof.

    Lemma 3.1. Assume that (H1)–(H3) hold. If E(G)={(u,v)R2:ξ(u,v)0}, then we have the following:

    (1) There exists u0C[0,1] such that (u0,T(u0))E(G) for all t[0,1],

    (2) For all t[0,1] and u,vC[0,1],

    (u(t),v(t))E(G)(Tu(t),Tv(t))E(G),

    (3) The transitivity property of E(G) holds.

    Before going though the existence theorem of the BVP (3.1) and (3.2), we introduce the solution space C([0,1]) equipped by the metric

    dσ(u,v)=maxt[0,1]|u(t)v(t)|eσt,u,vC([0,1]).

    We note that the metric space (C[0,1],dσ) is complete.

    Theorem 3.2. Assume that the conditions (H1)–(H4) hold. If σ is sufficiently large such that

    2(1η)[(3η)Lσα+(3η)|b|σαβ]<1,

    then T has at least one fixed point u(C[0,1],dσ), which means the BVP (3.1) and (3.2) has at least one solution u(C[0,1],dσ).

    Proof. Let E(G)={(u,v)R2:ξ(u,v)0}. From Lemma 3.1, We have X(f,g), T is edge-preserving with regard to G and E(G) satisfies the transitivity property. Now, in order to demonstrate this, we concentrate on the actual contraction property of T. As a result, we begin by the condition (H4) that, for u,vC[0,1] such that (u,v)E(G),

    |T(u)(t)T(v)(t)|=|t1η1Γ(α)10Gα(s;η)(f(s,u(s))f(s,v(s)))dst1ηbΓ(αβ)10Gαβ(s;η)(f(s,u(s))f(s,v(s)))ds+bΓ(αβ)t0(ts)αβ1(u(s)v(s))ds1Γ(α)t0(ts)α1(f(s,u(s))f(s,v(s)))ds|L(1η)Γ(α)10|Gα(s;η)||u(s)v(s)|ds+L|b|(1η)Γ(αβ)10|Gαβ(s;η)||u(s)v(s)|ds+|b|Γ(αβ)t0(ts)αβ1|u(s)v(s)|ds+LΓ(α)t0(ts)α1|u(s)v(s)|ds=L(1η)Γ(α)10|Gα(s;η)|eσs|u(s)v(s)|eσsds+Lb(1η)Γ(αβ)10|Gαβ(s;η)|eσs|u(s)v(s)|eσsds+|b|Γ(αβ)t0(ts)αβ1eσs|u(s)v(s)|eσsds+LΓ(α)t0(ts)α1eσs|u(s)v(s)|eσsds=[L(1η)Γ(α)10|Gα(s;η)|eσsds+Lb(1η)Γ(αβ)10|Gαβ(s;η)|eσsds+|b|Γ(αβ)t0(ts)αβ1eσsds+LΓ(α)t0(ts)α1eσsds]dσ(u,v).

    By applying the fact that

    t0(ts)γ1eσsdsΓ(γ)σγ,t0,σ>0,

    for γ>0, we have

    10|Gγ(s;η)|eσsds10(1s)γ1eσsds+η0(ηs)γ1eσsds2Γ(γ)σγ,

    Consequently, we get

    |T(u)(t)T(v)(t)|1(1η)[(3η)Lσα+(3η)|b|σαβ]dσ(u,v),

    which implies

    |T(u)(t)T(v)(t)|eσt1(1η)[(3η)Lσα+(3η)|b|σαβ]dσ(u,v),t[0,1].

    Here, we let φ(t)=t/2 which is φΦ. Hence,

    dσ(Tu,Tv)2(1η)[(3η)Lσα+(3η)|b|σαβ]φ(dσ(u,v)). (3.7)

    Therefore, by applying the σ is sufficiently large such that

    2(1η)[(3η)Lσα+(3η)|b|σαβ]<1,

    then we reach

    dσ(Tu,Tv)ϕ(dσ(u,v)).

    To this end, we define h:C[0,1]×C[0,1][0,1] by

    h(u,v)={ϕ(dσ(u,v))dσ(u,v)0ifuv,ifu=v.

    Finally, by utilizing Theorem 2.7, we then have T is (h,ϕ)M contraction. It follows that u exists in C[0,1] such that Tu=u as desired.

    Additionally, one can observe the following for E(G)=R2:

    (H1) There is a positive constant L such that

    |f(t,u)f(t,v)|L|uv|,

    for each t[0,1] and u,vR.

    The following corollary is provided by Theorem 3.2.

    Corollary 3.3. If (H1) holds, then the BVP (3.1) and (3.2) has at least one solution uC[0,1].

    Example 3.4. For 0β1<α2, we consider the following fractional differential equation

    cDαy(t)+bcDβy(t)=Lt(arctan(y(t))g(t)),t[0,1], (3.8)

    with the boundary conditions

    y(0)=0,andy(1)=y(η). (3.9)

    Observe that f(t,y(t))=Lt(y(t)g(t)), we can have

    |f(t,u(t))f(t,v(t))|=Lt|arctan(u(t))arctan(v(t))|L|u(t)v(t)|,t[0,1],

    which yields the confirmation of the condition (H1). Consequently, Corollary 3.3 conclusion is applicable, and then the BVP (3.8) and (3.9) has at least one solution on (C[0,1],dσ), where

    2(1η)[(3η)Lσα+(3η)|b|σαβ]<1.

    In this study, we investigated the (h-φ)R and (h-φ)M contractions with two metrics endowed with a directed graph and established the requirements that guarantee the existence of some common fixed points. The obtained results extend and generalize the theorems given in the literature, including [31,47,52]. Furthermore, by applying our main results, the existence of solutions to a class of nonlinear two-term fractional differential equations is successfully acquired. The nonlocal boundary conditions are used in the problems, giving new consequences to study and analyze the existence of a solution to the fractional BVPs. Additionally, some examples pertaining to the fixed point theorems and the nonlocal BVPs equations are provided to support our theoretical results. Based on these findings, we shall extend the fixed-point techniques and use them to investigate the existence of solutions to nonlinear fractional equations in other types.

    This research project was supported by the Fundamental Fund 2023, Chiang Mai University. The authors are grateful to Dr. Phakdi Charoensawan and Dr. Ben Wongsaijai, Department of Mathematics, Chiang Mai University, for their kind help in mathematics correction.

    No conflict of interest exists.



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