Research article Special Issues

On the series solution of the stochastic Newell Whitehead Segel equation

  • The purpose of this paper is to present a two-step approach for finding the series solution of the stochastic Newell-Whitehead-Segel (NWS) equation. The proposed two-step approach starts with the use of the Wiener-Hermite expansion (WHE) technique, which allows the conversion of the stochastic problem into a set of coupled deterministic partial differential equations (PDEs) by components. The deterministic kernels of the WHE serve as the solution to the stochastic NWS equation by decomposing the stochastic process. The second step involves solving these PDEs using the reduced differential transform (RDT) algorithm, which enables the determination of the deterministic kernels. The final step involves plugging these kernels back into the WHE to derive the series solution of the stochastic NWS equation. The expectation and variance of the solution are calculated and graphically displayed to provide a clear visual representation of the results. We believe that this two-step technique for computing the series solution process can be used to a great extent for stochastic PDEs arising in a variety of sciences.

    Citation: Javed Hussain. On the series solution of the stochastic Newell Whitehead Segel equation[J]. AIMS Mathematics, 2023, 8(9): 21591-21605. doi: 10.3934/math.20231100

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  • The purpose of this paper is to present a two-step approach for finding the series solution of the stochastic Newell-Whitehead-Segel (NWS) equation. The proposed two-step approach starts with the use of the Wiener-Hermite expansion (WHE) technique, which allows the conversion of the stochastic problem into a set of coupled deterministic partial differential equations (PDEs) by components. The deterministic kernels of the WHE serve as the solution to the stochastic NWS equation by decomposing the stochastic process. The second step involves solving these PDEs using the reduced differential transform (RDT) algorithm, which enables the determination of the deterministic kernels. The final step involves plugging these kernels back into the WHE to derive the series solution of the stochastic NWS equation. The expectation and variance of the solution are calculated and graphically displayed to provide a clear visual representation of the results. We believe that this two-step technique for computing the series solution process can be used to a great extent for stochastic PDEs arising in a variety of sciences.



    A century ago, the first metric fixed-point theorem was published by Banach [1]. In fact, before Banach, some famous mathematicians such as Picard and Liouville had used the fixed point approach to solve certain differential equations, more precisely, initial value problems. Inspired by their results, Banach considered it as a separated and independent result in the framework of the nonlinear functional analysis and point-set topology. The statement and the proof of an outstanding work of Banach, also known as contraction mapping principle, can be considered as an art piece: Each contraction, in the setting of a complete metric space, possesses a unique fixed point. Metric fixed point theory has been appreciated and investigated by several researchers. These researchers have different reasons and motivations to study this theory. The most important reason why the researchers find worthful to work and investigate metric fixed point theory is the natural and strong connection of the theoretical result in nonlinear functional analysis with applied sciences. If we look at it with the chronological aspect, we note that the fixed point theory was born as a tool to solve certain differential equations. Banach liberated the theory from being a tool in applied mathematics to an independent work of nonlinear functional analysis. On Picard and Liouville's side, it is a tool to solve the initial value problem. On the other side, from Banach's point of view, the fixed point theory is an independent research topic that has enormous application potential on almost all qualitative sciences, including applied mathematics. Secondly, Banach fixed point theorem not only guarantee the solution (the existence of a fixed point) but also indicate how we reach the mentioned solution (how to find the fixed point). Finally, we need to underline that almost all real world problems can be transferred to a fixed point problem, easily.

    With this motivation, several generalizations and extensions of Banach's fixed point theory have been released by introducing new contractions or by changing the structure of the studied abstract space. Among, we shall mention only a few of them that set up the skeleton of the contraction dealt with it. Historically, the first contraction we shall focus on it is the Meir-Keeler contraction [2]. Roughly speaking, the Meir-Keeler contraction can be considered as a uniform contraction. The second contraction that we dealt with is Jaggi contraction [3]. The interesting part of Jaggi's contraction is the following: Jaggi's contraction is one of the first of its kind that involves some rational expression. The last one is called as an interpolative contraction [4]. In the interpolative contraction the terms are used exponentially instead of standard usage of them.

    In this paper, we shall introduce a new contraction, hybrid Jaggi-Meir-Keeler type contraction, as a unification and generalization of the Meir-Keeler's contraction, the Jaggi's contraction and interpolative contraction in the setting of a complete metric space. We propose certain assumptions to guarantee the existence of a fixed point for such mappings. In addition, we express some example to indicate the validity of the derived results.

    Before going into details, we would like to reach a consensus by explaining the concepts and notations: Throughout the paper, we presume the sets, we deal with, are non-empty. The letter N presents the set of positive integers. Further, we assume that the pair (X,d) is a complete metric space. This notation is required in each of the following theorems, definitions, lemma and so on. We shall use the pair (X,d) everywhere without repeating that it is a complete metric space.

    In what follows we recall the notion of the uniform contraction which is also known as Meir-Keeler contraction:

    Definition 1.1. [2] A mapping f:(X,d)(X,d) is said to be a Meir-Keeler contraction on X, if for every E>0, there exists δ>0 such that

    Ed(x,y)<E+δimpliesd(fx,fy)<E, (1.1)

    for every x,yX.

    Theorem 1.1. [2] Any Meir-Keeler contraction f:(X,d)(X,d) possesses a unique fixed point.

    Very recently, Bisht and Rakočević [5] suggested the following extension of the uniform contraction:

    Theorem 1.2. [5] Suppose a mapping f:(X,d)(X,d) fulfills the following statements:

    (1) for a given E>0 there exists a δ(E)>0 such that

    E<M(x,y)<E+δ(E)impliesd(fx,fy)E;

    (2) d(fx,fy)<M(x,y), whenever M(x,y)>0;

    for any x,yX, where

    M(x,y)=max{d(x,y),αd(x,fx)+(1α)d(y,fy),(1α)d(x,fx)+αd(y,fy),β[d(x,fy)+d(y,fx)]2},

    with 0<α<1,0β<1.Then, f has a unique fixed point uX and fnxu for each xX.

    On the other hand, in 2018, the idea of interpolative contraction was consider to revisit the well-known Kannan's fixed point theorem [6]:

    Definition 1.2. [4] A mapping f:(X,d)(X,d) is said to be an interpolative Kannan type contraction on X if there exist κ[0,1) and γ(0,1) such that

    d(fx,fy)κ[d(x,fx)]γ[d(y,fy)]1γ, (1.2)

    for every x,yXFix(f), where Fix(f)={xX|fx=x}.

    Theorem 1.3. [4] Any interpolative Kannan-contraction mapping f:(X,d)(X,d) possesses a fixed point.

    For more interpolative contractions results, we refer to [7,8,9,10,11] and related references therein.

    Definition 1.3. A mapping f:(X,d)(X,d) is called a Jaggi type hybrid contraction if there is ψΨ so that

    d(fx,fy)ψ(Jsf(x,y)), (1.3)

    for all distinct x,yX where p0 and σi0,i=1,2,3,4, such that σ1+σ2=1 and

    Jsf(x,y)={[σ1(d(x,fx)d(y,fy)d(x,y))s+σ2(d(x,y))s]1/p,ifp>0,x,yX,xy(d(x,fx))σ1(d(y,fy))σ2,ifp=0,x,yXFf(X), (1.4)

    where Ff(X)={zX:fz=z}.

    Theorem 1.4. A continuous mapping f:(X,d)(X,d) possesses a fixed point x if it forms a Jaggi-type hybrid contraction.In particular, for any x0X, the sequence {fnx0} converges to x.

    Definition 1.4. [12] Let α:X×X[0,+) be a mapping, where X. A self-mapping f:(X,d)(X,d) is called triangular α-orbital admissible and denote as fTαX if

    α(x,fx)1impliesα(fx,f2x)1,

    and

    α(x,y)1,andα(y,fy)1,impliesα(x,fy)1

    for all x,yX.

    This concept, was used by many authors, in order to prove variant fixed point results (see, for instance [13,14,15,16,17,18,19] and the corresponding references therein).

    Lemma 1.1. [12] Assume that fTαX. If there exists x0X such that α(x0,fx0)1, then α(xm,xk)1, for all m,nN, where the sequence {xk} is defined by xk+1=xk.

    The following condition is frequently considered to avoid the continuity of the mappings involved.

    (R) if the sequence {xn} in X is such that for each nN,

    α(xn,xn+1)1andlimn+xn=xx,

    then there exists a subsequence {xn(j)} of {xn} such that

    α(xn(j),x)1, for each jN.

    We start this section by introducing the new contraction, namely, hybrid Jaggi-Meir-Keeler type contraction.

    Consider the mapping f:(X,d)(X,d) and the set of fixed point, Ff(X)={zX:fz=z}. We define the crucial expression Rsf as follows:

    Rsf(x,y)={[β1(d(x,fx)d(y,fy)d(x,y))s+β2(d(x,y))s+β3(d(x,fy)+d(y,fx)4)s]1/s,fors>0,x,yX,xy(d(x,fx))β1(d(y,fy))β2(d(x,fy)+d(y,fx)4)β3,fors=0,x,yX, (2.1)

    where p1 and βi0, i=1,2,3 are such that β1+β2+β3=1.

    Definition 2.1. Assume that fTαX. We say that f:(X,d)(X,d) is an α-hybrid Jaggi-Meir-Keeler type contraction on X, if for all distinct x,yX we have:

    (a1) for given E>0, there exists δ>0 such that

    E<max{d(x,y),Rsf(x,y)}<E+δα(x,y)d(fx,fy)E; (2.2)

    (a2)

    α(x,y)d(fx,fy)<max{d(x,y),Rsf(x,y)}. (2.3)

    Theorem 2.1. Any continuous α-hybrid Jaggi-Meir-Keeler type contraction f:(X,d)(X,d) provide a fixed point if there exists x0X, such that α(x0,fx0)1 and α(x0,f2x0)1.

    Proof. Let x0X be an arbitrary, but fixed point. We form the sequence {xm}, as follows:

    xm=fxm1=fmx0,

    for all mN and assume that d(xm,xm+1)>0, for all nN{0}. Indeed, if for some l0N{0} we have d(xl0,xl0+1)=0, it follows that xl0=xl0+1=fxl0. Therefore, xl0 is a fixed point of the mapping f and the proof is closed.

    Since, by assumption, the mapping f is triangular α-orbital admissible, it follows that

    α(x0,fx0)1α(x1,x2)=α(fx0,f2x0)1...
    α(xn,xn+1)1, (2.4)

    for every nN.

    We shall study two cases; these are s>0 and s=0.

    Case (A). For the case s>0, letting x=xn1 and y=xn=fxn1 in (a2), we get

    d(xn,xn+1)α(xn1,xn)d(fxn1,fxn)<max{d(xn1,xn),Rsf(xn1,xn)}, (2.5)

    where

    Rsf(xn1,xn)=[β1(d(xn1,fxn1)d(xn,fxn)d(xn1,xn))s+β2(d(xn1,xn))s++β3(d(xn1,fxn)+d(xn,fxn1)4)s]1/s=[β1(d(xn1,xn)d(xn,xn+1)d(xn1,xn))s+β2(d(xn1,xn))s++β3(d(xn1,xn+1)+d(xn,xn)4)s]1/s[β1(d(xn,xn+1))s+β2(d(xn1,xn))s++β3(d(xn1,xn)+d(xn,xn+1)4)s]1/s.

    If we can find n0N such that d(xn0,xn0+1)d(xn01,xn0), we have

    Rsf(xn01,xn0)[β1(d(xn0,xn0+1))s+β2(d(xn0,xn0+1))s++β3(d(xn0,xn0+1))s]1/s=d(xn0,xn0+1)(β1+β2+β3)1/s=d(xn0,xn0+1).

    Then, max{d(xn0,xn0+1),Rsf(xn01,xn0)}=d(xn0,xn0+1), and using (2.4), respectively (2.5) we get

    d(xn0,xn0+1)α(xn01,xn0)d(fxn+01,fxn0)<max{d(xn0,xn0+1),Rsf(xn01,xn0)}d(xn0,xn0+1),

    which is a contradiction. Therefore, d(xn,xn+1)<d(xn1,xn) for all nN and (2.5) becomes

    d(xn,xn+1)<d(xn1,xn),

    for all nN. Consequently, there exists b0 such that limn+d(xn1,xn)=b. If b>0, we have

    d(xm,xm+1)b>0,

    for any mN. On the one hand, since (2.2) holds for every given E>0, it is possible to choose E=b and let δ>0 be such that (2.2) is satisfied. On the other hand, since, also, limn+max{d(xn1,xn),Rsf(xn1,xn)}=b, there exists m0N such that

    b<max{d(xm01,xm0),Rsf(xm01,xm0)}<b+δ.

    Thus, by (2.2), together with (2.4) we obtain

    d(xm0,xm0+1)α(xm0,xm0+1)d(fxm01,fxm0)<b,

    which is a contradiction. Therefore,

    limn+d(xn,xn+1)=b=0. (2.6)

    We claim now that {xn} is a Cauchy sequence. Let E>0 be fixed and we can choose that δ=min{δ(E),E,1}. Thus, from (2.6) it follows that there exists j0N such that

    d(xn,xn+1)<δ2, (2.7)

    for all nj0. Now, we consider the set

    A={xl|lj0,d(xl,xj0)<E+δ2}. (2.8)

    We claim that fyA whenever y=xlA. Indeed, in case of l=j0, we have fxl=fxj0=xj0+1, and taking (2.7) into account, we get

    d(xj0,xj0+1)<δ2<E+δ2. (2.9)

    Thus, we will assume that l>j0, and we distinguish two cases, namely:

    Case 1. Suppose that

    E<d(xl,xj0)<E+δ2. (2.10)

    We have

    Rsf(xl,xj0)=[β1(d(xl,fxl)d(xj0,fxj0)d(xl,xj0))s+β2(d(xl,xj0))s+β3(d(xl,fxj0)+d(xj0,fxl)4)s]1/s=[β1(d(xl,xl+1)d(xj0,xj0+1)d(xl,xj0))s+β2(d(xl,xj0))s++β3(d(xl,xj0+1)+d(xj0,xl+1)4)s]1/s[β1(d(xl,xl+1)d(xj0,xj0+1)d(xl,xj0))s+β2(d(xl,xj0))s++β3(d(xl,xj0)+d(xj0,xj0+1)+d(xl,xj0)+d(xl,xl+1)4)s]1/s<[β1(d(xl,xl+1))s+β2(d(xl,xj0))s+β3(2d(xl,xj0)+d(xj0,xj0+1)+d(xl,xl+1)4)s]1/s<[β1(δ2)s+β2(E+δ2)s+β3(E2+δ4+δ4)s]1/s(β1+β2+β3)1/s(E+δ2)E+δ.

    In this case,

    E<d(xl,xj0)max{d(xl,xj0),Rsf(xl,xj0)}<max{(E+δ2),(E+δ)}=(E+δ),

    which implies by (a1) that

    α(xl,xj0)d(fxl,fxj0)E. (2.11)

    But, taking into account that the mapping f is triangular α-orbital admissible, together with (2.4) we have

    α(xn,xn+1)1 and α(xn+1,fxn+1)1 implies α(xn,xn+2)1,

    and recursively we get that

    α(xn,xl)1, (2.12)

    for all n,lN. Therefore, from (2.11) and (2.12), we have

    d(xl+1,xj0+1)=d(fxl,fxj0)E. (2.13)

    Now, by the triangle inequality together with (2.7)and (2.13) we get

    d(xl+1,xj0)d(xl+1,xj0+1)+d(xj0+1,xj0)<(E+δ2),

    which means that, indeed fxl=xl+1A.

    Case 2. Suppose that

    d(xl,xj0)E. (2.14)

    Thus,

    d(fxl,xj0)d(fxl,fxj0)+d(fxj0,xj0)α(xl,xj0)d(fxl,fxj0)+d(xj0+1,xj0)<max{d(xl,xj0),Rsf(xl,xj0)}+d(xj0+1,xj0), (2.15)

    where

    Rsf(xl,xj0)=[β1(d(xl,xl+1)d(xj0,xj0+1)d(xl,xj0))s+β2(d(xl,xj0))s++β3(d(xl,xj0)+d(xj0,xj0+1)+d(xl,xj0)+d(xl,xl+1)4)s]1/s.

    We must consider two subcases

    (2a). d(xl,xj0)d(xj0,xj0+1). Then,

    Rsf(xl,xj0)[β1(d(xl,xl+1))s+β2(d(xl,xj0))s++β3(2d(xl,xj0)+d(xj0,xj0+1)+d(xl,xl+1)4)s]1/s<[β1(δ2)s+β2(E))s+β3(2E+2δ24))s]1/s<[β1+β2+β3]1/s(E2+δ4).

    But, since δ=min{δ,E,1}, we get

    Rsf(xl,xj0)<3E4,

    and then

    d(fxl,xj0)<max{d(xl,xj0),Rsf(xl,xj0)}+d(xj0+1,xj0)<max{E,3E4}+δ2=(E+δ2),

    which shows that fxlA.

    (2b). d(xl,xj0)<d(xj0,xj0+1). Then,

    d(fxl,xj0)xl+1,xl)+d(xl,xj0)<δ2+δ2<E+δ2.

    Consequently, choosing some m,nN such that m>n>j0, we can write

    d(xm,xn)d(xm,xj0)+d(xj0,xn)<2(E+δ2)<4E,

    which leads us to

    limm,n+d(xm,xn)=0.

    Therefore, {xm} is a Cauchy sequence in a complete metric space. Thus, we can find a point uX such that limm+xm=u. Moreover, since the mapping f is continuous we have

    u=limm+fm+1x0=limm+f(fmx0)=f(limm+fmx0)=fu,

    that is, u is a fixed point of f.

    Case (B). For the case s=0, letting x=xn1 and y=xn=fxn1 in (2.2), we get

    d(xn,xn+1)α(xn1,xn)d(fxn1,fxn)<max{d(xn1,xn),Rf(xn1,xn)}, (2.16)

    where

    Rf(xn1,xn)=[d(xn1,fxn1)]β1[d(xn,fxn)]β2[d(xn1,fxn)+d(xn,fxn14]β3=[d(xn1,xn)]β1[d(xn,xn+1)]β2[d(xn1,xn+1)+d(xn,xn4]β3=[d(xn1,xn)]β1[d(xn,xn+1)]β2[d(xn1,xn+1)+d(xn,xn4]β3[d(xn1,xn)]β1[d(xn,xn+1)]β2[d(xn1,xn)+d(xn,xn+1)4]β3=[d(xn1,xn)]β1[d(xn,xn+1)]β2[d(xn1,xn)+d(xn,xn+1)4]β3

    Thus, by (2.3) and taking (2.4) into account we have

    d(xn,xn+1)α(xn1,xn)d(fxn1,fxn)<max{d(xn1,xn),Rf(xn1,xn)}.

    Now, if there exists n0N such that d(xn0,xn0+1)d(xn01,xn0), we get

    d(xn0,xn0+1)<max{d(xn01,xn0),Rf(xn01,xn0)}max{d(xn01,xn0),d(xn0,xn0+1)}<d(xn0,xn0+1),

    which is a contradiction. Therefore, d(xn,xn+1)<d(xn1,xn) for all nN, that is, the sequence {xn} decreasing and moreover, converges to some b0. Moreover, since

    Rf(xn1,xn)=[d(xn1,xn)]β1[d(xn,xn+1)]β2[d(xn1,xn+1)4]β3,

    we get that

    limn+max{d(xn1,xn),Rf(xn1,xn)}=b.

    If we suppose that b>0, then, 0<b<d(xn1,xn) and we can find δ>0 such that

    b<max{d(xn1,xn),Rf(xn1,xn)}<b+δ.

    In this way, taking E=b, we get

    b=E<max{d(xn1,xn),Rf(xn1,xn)}<E+δ,

    which implies (by (a1)) that

    d(xn1,xn)α(xn1,xn)d(fxn1,fxn))E=b,

    which is a contradiction. We thus proved that

    limmd(xn1,xn)=0. (2.17)

    We claim now, that the sequence {xn} is Cauchy. Firstly, we remark that, since d(xn1,xn)=0, there exists j0N, such that

    d(xn1,xn)<δ2, (2.18)

    for any nj0, where δ=min{δ,E,1}. Reasoning by induction, we will prove that the following relation

    d(xj0,xj0+m)<E+δ2 (2.19)

    holds, for any mN. Indeed, in case of m=1,

    d(xj0,xj0+1)<δ2<E+δ2,

    so, (2.19) is true. Now, supposing that (2.19) holds for some l, we shall show that it holds for l+1. We have

    Rf(xj0,xj0+l)=(d(xj0,fxj0))β1(xj0+l,fxj0+l)s(d(xj0,fxj0+l)+d(xj0+l,fxj0)4)β3=(d(xj0,xj0+1))β1(xj0+l,xj0+l+1)s(d(xj0,xj0+l+1)+d(xj0+l,xj0+1)4)β3(d(xj0,xj0+1))β1(d(xj0+l,xj0+l+1))s(d(xj0,xj0+l)+d(xj0+l,xj0+l+1)+d(xj0+l,xj0)+d(xj0,xj0+1)4)β3<(δ2)β1+β2((E2+δ4)+δ4)β3(E+δ2). (2.20)

    As in the Case (A), if d(xj0,xj0+l)>E, by (a2), and keeping in mind the above inequalities, we get

    E<d(xj0,xj0+l)max{d(xj0,xj0+l),Rf(xj0,xj0+l)}<max{δ2,(E+δ2)}=E+δ implies α(xj0,xj0+l)d(fxj0,fxj0+l)E.

    But, since using (2.12), it follows that

    d(xj0+1,xj0+l+1)=d(fxj0,fxj0+l)E,

    and then, by (b3) we get

    d(xj0,xj0+l+1)d(xj0,xj0+1)+d(xj0+1,xj0+l+1)<δ2+E<E+δ2.

    Therefore, (2.19) holds for (l+1). In the opposite situation, if d(xj0,xj0+l)E, again by the triangle inequality, we obtain

    d(xj0,xj0+l+1)d(xj0,xj0+1)+d(xj0+1,xj0+l+1)d(xj0,xj0+1)+α(xj0,xj0+l)d(fxj0,fxj0+l)<δ2+max{d(xj0,xj0+l),Rf(xj0,xl)}<δ2+max{E,E2+δ4}=δ2+E.

    Consequently, the induction is completed. Therefore, {xm} is a Cauchy sequence in a complete metric space. Thus, there exists uX such that fu=u.

    In the above Theorem, the continuity condition of the mapping f can be replace by the continuity of f2.

    Theorem 2.2. Suppose that f:(X,d)(X,d) forms an α-hybrid Jaggi-Meir-Keeler type contraction such that f2 is continuous.Then, f has a fixed point, provided that there exists x0X, such that α(x0,fx0)1.

    Proof. Let x0X such that α(x0,fx0)1 and the sequence {xn}, where xn=fxn1, for any nN. Thus, from Theorem 2.3 we know that this is a convergent sequence. Letting u=limn+xn, we claim that u=fu.

    Since the mapping f2 is supposed to be continuous,

    f2u=limn+f2xn=u.

    Assuming on the contrary, that ufu, we have

    Rsf(u,fu)={[β1(d(u,fu)d(fu,f2u)d(u,fu))s+β2(d(u,fu))s+β3(d(u,f2u)+d(fu,fu)4)s]1/s,fors>0(d(u,fu))β1(d(fu,f2u))β2(d(u,f2u)+d(fu,fu)4)β3,fors=0[16pt]={[β1(d(u,fu)d(fu,u)d(u,fu))s+β2(d(u,fu))s+β3(d(u,u)+d(fu,fu)4)s]1/s,fors>0(d(u,fu))β1(d(fu,u))β2(d(u,u)+d(fu,fu)4)β3,fors=0[16pt]={[β1(d(fu,u))s+β2(d(u,fu))s]1/s,fors>00,fors=0={[β1+β2]1/sd(u,fu)),fors>00,fors=0

    Example 2.1. Let X=[0,+), d:X×X[0,+), d(x,y)=|xy|, and the mapping f:XX, where

    f={12,ifx[0,1]16,ifx>1.

    We can easily observe that f is discontinuous at the point x=1, but f2 is a continuous mapping. Let also the function α:X×X[0,+),

    α(x,y)={x2+y2+1,ifx,y[0,1]ln(x+y)+1,ifx,y(1,+)1,ifx=56,y=760, otherwise ,

    and we choose β1=14,β2=12,β1=14 and s=2. The mapping f is triangular α-orbital admissible and satisfies (a2) in Definition 2.1 for any x,y[0,1], respectively for x,y(1,+). Taking into account the definition of the function α, we have more to check the case x=56, y=76. We have

    Rf(56,76)=[14(d(56,f56)d(76,f76)d(56,76))2+12(d(56,76))2+14(d(56,f76)+d(76,f56)4)2]1/2=14+1219+19=13.

    Therefore,

    α(56,76)d(f56,f76)=d(f56,f76)=d(12,16)=13<13=max{d(56,76),Rf(56,76)}.

    Moreover, since the mapping f satisfies condition (a1) for

    δ(E)={1E,forE<11,forE1,

    it follows that the assumptions of Theorem 2.3 are satisfied, and u=12 ia a fixed point of the mapping f.

    Theorem 2.3. If to the hypotheses of Theorem we add the following assumption

    α(u,v)1for anyu,vFf(X),

    then the mapping f admits an unique fixed point.

    Proof. Let uX be a fixed point of f. Supposing on the contrary, that we can find vX such that fu=uv=fv, we have

    (i) For s>0,

    Rsf=[β1(d(u,fu)d(v,fv)d(u,v))s+β2(d(u,v))s+β3(d(u,fv)+d(v,fu)4)s]1/s=[β2(d(u,v))s+β3(d(u,v)2)s]1/s(β2+β3)1/sd(u,v)d(u,v).

    Thus, taking x=u and y=v in (2.3) we get

    d(u,v)α(u,v)d(fu,fv)<max{d(u,v),Rf(u,v)}=d(u,v),

    which is a contradiction.

    (ii) For s=0,

    d(u,v)α(u,v)d(fu,fv)<max{d(u,v),Rf(u,v)}=max{d(u,v),(d(u,fu))β1(d(v,fv))β2(d(u,fv)+d(v,fu)4)β3}=d(u,v),

    which is a contradiction.

    Consequently, if there exists a fixed point of the mapping f, under the assumptions of the theorem, this is unique.

    Example 2.2. Let the set X=[1,+), d:X×X[0,+), d(x,y)=|xy|, and the mapping f:XX, where

    fx={x2+1,ifx[1,0)1,ifx[0,1]1x,ifx>1.

    Let also α:X×X[0,+) defined as follows

    α(x,y)={34,ifx,y[1,0)x2+y2+1,ifx,y[0,1]1,ifx[1,0),y[0,1]0, otherwise .

    It is easy to check that, with these chooses, f is a continuous triangular α-orbital admissible mapping and also, it follows that the mapping f satisfies the conditions (a2) from Definition (2.1). Moreover, f satisfies the condition (a1), considering δ(E)=1E in case of E<1 and δ(E)=1 for E1. Consequently, f satisfies the conditions of Theorem 2.3 and has a unique fixed point, u=0.

    In particular, for the case s=0, the continuity assumption of the mapping f can be replace by the condition (R).

    Theorem 2.4. We presume thatf:(X,d)(X,d)TαX and fulfills

    (ai) for given E>0, there exists δ>0 such that

    E<O(x,y)<E+δimpliesα(x,y)d(fx,fy)E, (2.21)

    with

    O(x,y)=max{d(x,y),(d(x,fx))β1(d(y,fy))β2(d(x,fy)+d(y,fx)4)β3},

    for all x,yX, where βi0, i=1,2,3 so that β1+β2+β3=1;

    (aii)

    α(x,y)d(fx,fy)<O(x,y). (2.22)

    The mapping f has a unique fixed point provided that:

    (α1) there exists x0X such that α(x0,fx0)1;

    (α3) α(u,v)1 for any u,vFf(X);

    (α2) if the sequence {xn} in X is such that for each nN

    α(xn,xn+1)1andlimn+xn=xX,

    then there exists a subsequence {xn(j)} of {xn} such that

    α(xn(j),x)1,for eachjN.

    Proof. Let x0X such that α(x0,fx0)1. Then, we know (following the proof of Theorem 2.3) that the sequence {xn}, with xn=fnx0 is convergent; let u=limn+xn. On the other hand, from (α2), we can find a subsequence {xn(j)} of {xn} such that

    α(xn(j),u)1, for each jN.

    Since we can suppose that d(xn(j)+1,fu)>0, from (aii) we have

    d((xn(j)+1,fu))α(xn(j),u)d(fxn(j),fu)<O(x,y)=max{d(xn(j),u),(d(xn(j),fxn(j)))β1(d(u,fu))β2(d(xn(j),fu)+d(u,fxn(j))4)β3}=max{d(xn(j),u),(d(xn(j),xn(j)+1))β1(d(u,fu))β2(d(xn(j),fu)+d(u,xn(j)+1)4)β3}.

    Letting n+ in the above inequality, we get d(u,fu)=0. Thus, fu=u.

    To proof the uniqueness, we consider that we can find another fixed point of f. From (aii), we have

    d(u,v)=d(fu,fv)α(u,v)d(fu,fv)<O(u,v)=d(u,v)<d(u,v),

    which is a contradiction. Therefore, u=v.

    Considering α(x,y)=1 in the above theorems, we can easily obtain the following result.

    Definition 2.2. A mapping f:(X,d)(X,d) is called hybrid Jaggi-Meir-Keeler type contraction on X if for all distinct x,yX we have:

    (a1) for given E>0, there exists δ>0 such that

    E<max{d(x,y),Rsf(x,y)}<E+δd(fx,fy)E; (2.23)

    (a2) whenever Rf(x,y)>0,

    d(fx,fy)<max{d(x,y),Rsf(x,y)}. (2.24)

    Corollary 2.1. Any hybrid Jaggi-Meir-Keeler type contraction f:(X,d)(X,d) possesses a unique fixed point provided that f is continuous or f2 is continuous.

    The authors declare that they have no conflicts of interest.



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