Research article

Multivalued weakly Picard operators via simulation functions with application to functional equations

  • Received: 15 August 2020 Accepted: 07 December 2020 Published: 09 December 2020
  • MSC : 55M20, 47H10

  • The aim of this paper is to introduce the notion of Suzuki type multivalued contraction with simulation functions and then to set up some new fixed point and data dependence results for these type of contraction mappings. We produce an example to support our results. Moreover, we present an application to functional equation arising in dynamical system.

    Citation: Azhar Hussain, Saman Yaqoob, Thabet Abdeljawad, Habib Ur Rehman. Multivalued weakly Picard operators via simulation functions with application to functional equations[J]. AIMS Mathematics, 2021, 6(3): 2078-2093. doi: 10.3934/math.2021127

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  • The aim of this paper is to introduce the notion of Suzuki type multivalued contraction with simulation functions and then to set up some new fixed point and data dependence results for these type of contraction mappings. We produce an example to support our results. Moreover, we present an application to functional equation arising in dynamical system.



    We pronounce (N,) a metric space, the classes P(N) and CB(N) of all nonempty, closed and bounded subsets of N.

    If U,VCB(N), review the functionals:

    D:P(N)×P(N)R+, D(W,V)=inf{(ω,λ):ωW,λV}, WN;

    H:P(N)×P(N)R+,H(U,V):=max{supuUinfvV(u,v),supvVinfuU(u,v)} - the Pompeiu- Hausdorff functional.

    Lemma 1.1. [12] Suppose UN and ξ>1. Then for μN there is vV such that (μ,v)ξD(μ,V).

    Definition 1.2. [16] A function Q:NCB(N) is called multi-valued weakly Picard operator (MWP operator) if for all μN and μQμ, there is a sequence (μm) in N such that (i) μ0=μ,μ1=λ, (ii) μn+1Qμm m0, and (iii) (μm) tends to the fixed point of Q.

    Utilizing the approach of Rus [16], Popescu [13] defined a multivalued operator and named it as (s,r)-contractive multivalued and siglevalued operators and showed that the underlying mapping is an MWP operator. Following Popescu [13], Kamran [9] extended (s,r)-contractive operators to weakly (s,r)-contractive operators and proved that the underlying mappings are still MWP operators.

    A new generalization of Banach's theorem was given by Khojasteh et al. [11] by considering a function ζ:[0,)×[0,)R, which follows the assertions given below:

    (ζa) ζ(0,0)=0,

    (ζb) ζ(α,β)<βα for all α,β>0,

    (ζc) The sequences {αn},{βn} in (0,) with limnαn=limnβn>0, then

    limnsupζ(αn,βn)<0.

    They named such functions as simulation function and the contractive map is named as Z-contraction. Later on, Roldˊan-Lˊopez-de-Hierro et al. [15] replaced (ζc) with (ζc),

    (ζc): the sequences (αn),(βn) in (0,) with limnαn=limnβn>0 and αn<βn, then

    limnsupζ(αn,βn)<0.

    The lemma stated below is essential:

    Lemma 1.3. [14] Suppose a sequence (μn) in N with

    limn(μn,μn+1)=0. (1.1)

    If the sequence is not a Cauchy, then ε>0 and sequences μm(j) and μn(j) such that n(j)>m(j)>j and the sequences

    (μm(j),μn(j)),(μm(j),μn(j)+1),(μm(j)1,μn(j)),
    (μm(j)1,μn(j)+1),(μm(j)+1,μn(j)+1)

    converges to ε+ when k

    The purpose of this paper is to introduce the notion of Suzuki type multivalued Z(ϕ,λ)-contraction and to prove the fixed point and data dependence results for such contraction mapping. We give an example to show the validity of our results. Moreover, we present an application to functional equation arising in dynamical system to show the usability of our results.

    We now give the definition of Suzuki type multivalued Z(ϕ,λ)-contraction and obtain some fixed point results.

    We start this section with the following notion:

    Denote Φ the set consisting of all strictly increasing functions φ:[0,1)(0,1]. We define

    φ(s)={1s+1if0s<121sif12s<1.

    Definition 2.1. A mapping Q:NCB(N) is called Suzuki type multivalued Z(φ,λ)-contraction with respect to ζ, if there is a function φΦ such that

    φ(s)max{D(μ,Qμ),12D(λ,Qμ)}(μ,λ) (2.1)

    implies

    ζ(H(Qμ,Qλ),ρR(μ,λ))0 (2.2)

    where ρ[0,1), and

    R(μ,λ)=max{(μ,λ),D(μ,Qμ),D(λ,Qλ),12(D(μ,Qλ)+D(λ,Qμ))}.

    Theorem 2.2. Suppose that Q:NCB(N) is Suzuki type multivalued Z(φ,ρ)-contraction, where (N,) is a complete metric space. Then Q is an MWP operator.

    Proof. Choose μ0X, μ1Qμ0 and ρ1 be real number such that 0ρsρ1<1. One can choose μ2Qμ1 such that

    (μ1,μ2)1ρ1H(Qμ0,Qμ1).

    Since

    φ(s)max{D(μ0,Qμ0),12D(μ1,Qμ0)}φ(s)D(μ0,Qμ0)(μ0,μ1), (2.3)

    from (2.1) and (2.2), we have

    0ζ(H(Qμ0,Qμ1),ρR(μ0,μ1))ρR(μ0,μ1)H(Qμ0,Qμ1)

    this implies

    H(Qμ0,Qμ1)ρR(μ0,μ1),

    where

    R(μ0,μ1)=max{(μ0,μ1),D(μ0,Qμ0),D(μ1,Qμ1),D(μ0,Qμ1)+D(μ1,Qμ0)2}=max{(μ0,μ1),D(μ1,Qμ1),D(μ0,Qμ1)2}max{(μ0,μ1),(μ1,μ2),(μ0,μ1)+(μ1,μ2)2}=max{(μ0,μ1),(μ1,μ2)}.

    If R(μ0,μ1)(μ1,μ2), then

    (μ1,μ2)1ρ1H(Qμ0,Qμ1)ρρ1R(μ0,μ1)ρ1(μ1,μ2).

    This implies (μ1,μ2)=0 or μ1=μ2Qμ1, i.e. μ1 is a fixed point. So, we consider the case when R(μ0,μ1)(μ0,μ1), this gives

    (μ1,μ2)ρ1(μ0,μ1)<(μ0,μ1).

    Hence we can recursively define a sequence (μn) such that μn+1Qμn and

    (μn+1,μn+2)<(μn,μn+1)

    which implies

    limn(μn,μn+1)=0. (2.4)

    To prove that (μn) is Cauchy, contrary suppose that it is not, then by Lemma 1.3, there is ϵ>0 and two subsequences m(j), n(j) with n(j)>m(j)>j such that (μm(j),μn(j))ϵ+, (μm(j)+1,μn(j)+1)ϵ+ as j also

    limjρR(μm(j),μn(j))=ϵ+.

    By (2.4), we have

    φ(s)max{D(μn(j),Qμn(j)),12D(μm(j),Qμn(j))} (2.5)
    max{(μn(j),μn(j)+1),12(μm(j),μn(j)+1)}max{(μm(j),μn(j))+(μn(j),μn(j)+1),(μm(j),μn(j)+1)}=(μm(j),μn(j))+(μn(j),μn(j)+1)<(μm(j),μn(j)), (2.6)

    thus by (2.1), (2.2) and (ζb), we have

    0ζ(H(Qμm(j),Qμn(j)),ρR(μm(j),μn(j))) (2.7)
    ρR(μm(j),μn(j))H(Qμm(j),Qμn(j)), (2.8)

    therefore, we have

    (μm(j)+1,μn(j)+1)H(Qμm(j),Qμn(j))ρR(μm(j),μn(j))<(μm(j),μn(j)),

    hence

    limjH(Qμm(j),Qμn(j))=ϵ+,

    so by (ζc) and (2.2), we have

    0limjsupζ(H(Qμm(j),Qμn(j)),ρR(μm(j),μn(j)))<0,

    this leads to a contradiction. Hence (μn) is a Cauchy sequence. Completeness of N implies that there is uN such that limnμn=u. Moreover

    D(μn+1,Qu)H(Qμn,Qu).

    Our claim is

    D(u,Qμ)ρmax{(u,μ),D(μ,Qμ)} (2.9)

    for all μu. Since limn(un,u)=0, there exists an n0N such that (u,un)<13(u,μ) for all nn0. Note that φ(s)1 and

    φ(s)max{D(un,Qun),12D(μ,Qun)}max{D(un,Qun),12D(μ,Qun)}max{(un,un+1),12(μ,un+1)}max{(un,u)+(u,un+1),12((μ,u)+(u,un+1))}max{13(u,μ)+13(u,μ),12[(μ,u)+13(u,μ)]}max{23(u,μ),23(μ,u)}=23(μ,u)=((u,μ)13(u,μ))((u,μ)(un,u))(un,μ).

    Thus φ(s)max{D(un,Qun),12D(μ,Qun)}(un,μ) holds for all nn0. From (2.1) and (2.2), we have

    ζ(H(Qun,Qμ),ρR(un+1,μ))0,

    this gives

    D(un+1,Qμ)H(Qun,Qμ)ρmax{(un,μ),D(un,Qun),D(μ,Qμ),D(un,Qμ)+D(μ,Qun)2}ρmax{(un,μ),(un,un+1),D(μ,Qμ),D(un,Qμ)+(μ,un+1)2}. (2.10)

    Tending n to inequality (2.10), we arrived at

    D(u,Qμ)ρmax{(u,μ),D(μ,Qμ),D(u,Qμ)+(μ,u)2}.

    If

    max{(u,μ),D(μ,Qμ),D(u,Qμ)+(μ,u)2}=D(u,Qμ)+(μ,u)2,

    then

    D(u,Qμ)ρ(D(u,Qμ)+(μ,u)2)

    and this implies that

    D(u,Qμ)(ρ2ρ)(μ,u)<ρ(μ,u)ρmax{(u,μ),D(μ,Qμ)}.

    Hence

    D(u,Qμ)ρmax{(u,μ),D(μ,Qμ)}

    valid μu. To show that uQu, we discus two cases:

    (i) If 0rs<12. Contrary suppose that uQu. Since Quϕ, there exists cQu such that cu and

    (c,u)<D(u,Qu)+(1ρ+11)D(u,Qu).

    Thus

    (ρ+1)(c,u)<D(u,Qu). (2.11)

    As φ(s)max{D(u,Qu),12D(c,Qu)}max{(u,c),(c,c)}(u,c), so by (2.1) and (2.2), we have

    ζ(H(Qu,Qc),ρR(u,c))0,

    this gives

    H(Qu,Qc)ρmax{(u,c),D(u,Qu),D(c,Qc),D(u,Qc)+D(c,Qu)2}ρmax{(u,c),D(c,Qc),[(u,c)+D(c,Qc)]2}=ρmax{(u,c),D(c,Qc)}.

    Thus

    H(Qu,Qc)ρmax{(u,c),D(c,Qc)}. (2.12)

    Since D(c,Qc)H(Qu,Qc), therefore, we have

    H(Qu,Qc)ρmax{(u,c),H(Qu,Qc)},

    hence

    H(Qu,Qc)ρ(u,c). (2.13)

    Since ρ<1, therefore

    D(c,Qc)(u,c). (2.14)

    By (2.9) and (2.14), we have

    D(u,Qc)ρmax{(u,c),D(c,Qc)}<ρmax{(u,c),(u,c)}<ρ(u,c)<(u,c). (2.15)

    Using (2.9), (2.12), (2.13) and (2.15), we have

    D(u,Qu)D(u,Qc)+H(Qu,Qc)<(u,c)+ρ(u,c)=(1+ρ)(u,c)<D(u,Qu),

    a contradiction. Hence uQu.

    (ii) If 12ρs<1, then we first show that

    H(Qμ,Qu)ρR(μ,u) (2.16)

    for all μN with μu.For each nN, there exists λnQμ such that (u,λn)<D(u,Qμ)+1n(μ,u). So we have

    max{D(μ,Qμ),12D(u,Qμ)}max{(μ,λn),12(u,λn)}max{((μ,u)+(u,λn)),(u,λn)}=((μ,u)+(u,λn))<((μ,u)+D(u,Qμ)+1n(μ,u)).

    Now by (2.9), we have

    max{D(μ,Qμ),12D(u,Qμ)}<((μ,u)+ρmax{(u,μ),D(μ,Qμ)}+1n(μ,u)). (2.17)

    If max{(u,μ),D(μ,Qμ)}=(μ,u), then from (2.17), we obtain that

    max{D(μ,Qμ),12D(u,Qμ)}<((μ,u)+ρ(u,μ)+1n(μ,u))=(1+ρ+1n)(μ,u)<(1+s+1n)(μ,u),

    which gives

    φ(s)max{D(μ,Qμ),12D(u,Qμ)}=(1s)max{D(μ,Qμ),12D(u,Qμ)}(12)max{D(μ,Qμ),12D(u,Qμ)}(11+s)max{D(μ,Qμ),12D(u,Qμ)}<(11+s)(1+s+1n)(μ,u),(1+s1+s+1(1+s)n)(μ,u)(1+1(1+s)n)(μ,u).

    Tending n, we have

    φ(s)max{D(μ,Qμ),12D(u,Qμ)}(μ,u).

    By (2.1) with λ=u, (2.16) satisfied. If max{(u,μ),D(μ,Qμ)}=D(μ,Qμ), then (2.9) gives

    D(μ,Qμ)(μ,u)+D(u,Qμ)(μ,u)+ρD(μ,Qμ)

    and hence D(μ,Qμ)(11ρ)(μ,u). By (2.17), we obtain that

    max{D(μ,Qμ),12D(u,Qμ)}((μ,u)+ρD(μ,Qμ)+1n(μ,u))((μ,u)+(ρ1ρ)(μ,u)+1n(μ,u))=(11ρ)(μ,u)+1n(μ,u).

    As 12ρ<1 and ρs, so

    φ(s)max{D(μ,Qμ),12D(u,Qμ)}=(1s)max{D(μ,Qμ),12D(u,Qμ)}(1ρ)max{D(μ,Qμ),12D(u,Qμ)}(1ρ)((11ρ)(μ,u)+1n(μ,u))(u,μ)+(1ρn)(u,μ)(u,μ)+(1ρn)(u,μ),

    tending n gives

    φ(s)max{D(μ,Qμ),12D(u,Qμ)}(μ,u)

    and thus (2.16) satisfied. Using μ=un in (2.16), we have

    D(un+1,Qu)H(Qun,Qu)ρmax{(un,u),D(un,Qun),D(u,Qu),D(un,Qu)+D(u,Qun)2}ρmax{(un,u), (un,un+1),D(u,Qu),D(un,Qu)+(u,un+1)2}. (2.18)

    Tending n to inequality (2.18), we arrived at

    D(u,Qu)ρD(u,Qu)

    which further gives that D(u,Qu)=0, that is, uQu.

    For the case of single-valued Suzuki type Z(φ,ρ)-contraction, we have the following result:

    Theorem 2.3. Assume that Q:NN be Suzuki type Z(φ,ρ)-contraction on a complete metric space (N,), then N is an MWP operator and has a unique fixed point.

    Proof. By Theorem 2.2, Q is an MWP operator. Let μλ be two fixed points of Q, then

    φ(s)max{(μ,Qμ),12(λ,Qμ)}=φ(s)12(μ,λ)<(μ,λ)

    this implies

    0ζ((Qμ,Qλ),ρR(μ,λ))=ζ((μ,λ),ρ(μ,λ))ρ(μ,λ)(μ,λ)

    this gives

    (μ,λ)ρ(μ,λ),

    which is not possible, hence (μ,λ)=0. Thus Q possesses a unique fixed point.

    Example 2.1. Let N={0,1,2,3} and (μ,λ)=|μλ|. Define Q:NCB(N) by

    Qμ={{0,2}if μ3,{1}if μ=3.

    Now for μ,λN with μλ, we have

    (μ,λ)(μ,λ)D(μ,Qμ)D(λ,Qμ)H(Qμ,Qλ)R(μ,λ)
    (0, 1)10101
    (0, 2)20002
    (0, 3)30113
    (1, 0)11001
    (1, 2)11001
    (1, 3)21112
    (2, 0)20002
    (2, 1)10101
    (2, 3)10112
    (3, 0)32113
    (3, 1)22012
    (3, 2)12112

    So max{D(μ,Qμ):μN}=2, max{D(λ,Qμ):μ,λN}=1 and min{(μ,λ):μ,λN}=1. Now for s=0.6,φ(s)=0.4 and

    φ(s)max{D(μ,Qμ),12D(λ,Qμ)}=(0.4)(2)<1=min{(μ,λ);μ,λN}

    holds true for all μ,λN. Let ζ(α,β)=45βα, then for ρ=0.7, we have

    ζ(H(Q0,Q1),ρR(0,1))=ζ(0,0.7)=(0.8)(0.7)0>0ζ(H(Q0,Q2),ρR(0,2))=ζ(0,1.4)=(0.8)(1.4)0>0ζ(H(Q0,Q3),ρR(0,3))=ζ(1,2.1)=(0.8)(2.1)1>0ζ(H(Q1,Q2),ρR(1,2))=ζ(0,0.7)=(0.8)(0.7)0>0ζ(H(Q1,Q3),ρR(1,3))=ζ(1,1.4)=(0.8)(1.4)1>0ζ(H(Q2,Q3),ρR(2,3))=ζ(1,1.4)=(0.8)(1.4)1>0.

    Hence Q is Z(φ,0.7)-contraction. Thus by Theorem 2.2, Q is an MWP operator and Fix(Q)={0,2}.

    We now prove a data dependence result.

    Theorem 3.1. Ssppose that Q1, Q2 are two multivalued operators on a metric space (N,), if

    1. Qi is Z(φ,ρi)-contraction for i=1,2,

    2. there exist a real number ρ>0 such that H(Q1μ,Q2μ)ρ, μN.

    Then

    1. Fix(Qi)CL(N), for i=1,2,

    2. Q1 and Q2 are multivalued operators and

    H(Fix(Q1),Fix(Q2))ρ1max{ρ1,ρ2}.

    Proof. Theorem 2.2 gives that Fix(Qi)ϕ for i=1,2. To prove that Fix(Q) is closed, assume that (μn)Fix(Q) such that μnt as n, we have

    φ(s)max{D(μn,Qμn),12D(ω,Qμn)}=φ(s)12D(ω,Qμn)12D(ω,Qμn)<(ω,μn)

    this implies

    0ζ(H(Qμn,Qω),ρR(μn,ω))ρR(μn,ω)H(Qμn,Qω)

    this gives

    H(Qμn,Qω)ρR(μn,ω).

    Now

    D(ω,Qω)(ω,μn)+D(μn,Qω)(ω,μn)+H(Qμn,Qω)(ω,μn)+ρR(μn,ω)(ω,μn)+ρmax{(ω,μn),D(μn,Qμn),D(ω,Qω),D(ω,Qμn)+D(μn,Qω)2},

    letting n, we have D(ω,Qω)=0, so ωFix(Q) and hence Fix(Q) is closed.

    (b) From Theorem 2.2, it follows from (i) that Q1 and Q2 are MWP operators. Further, let μ0 be fixed point of Q1, then there exist μ1Q2μ0 and a real number q>1 such that

    (μ0,μ1)qH(Q1μ0,Q2μ0),

    since μ1Q2μ0, we can choose μ2Q2μ1 such that

    (μ1,μ2)qH(Q2μ0,Q2μ1)

    also

    φ(s)max{D(μ0,Q2μ0),12D(μ1,Q2μ0)}φ(s)(μ0,μ1)(μ0,μ1)

    this implies

    0ζ(H(Q2μ0,Q2μ1),ρ2R(μ0,μ1))ρ2R(μ0,μ1)H(Q2μ0,Q2μ1).

    Hence

    H(Q2μ0,Q2μ1)ρ2R(μ0,μ1)ρ2(μ0,μ1).

    (Choosing R(μ0,μ1)(μ1,μ2) gives fixed point). Hence

    (μ1,μ2)qH(Q2μ0,Q2μ1)qρ2(μ0,μ1).

    Therefore, for operator Q2, we get an iterative sequence of successive approximations satisfying μn+1Q2μn such that

    (μn,μn+1)(qρ2)n(μ0,μ1)

    for all n0. If there exists a positive integer N such that for nN and l1,

    (μn+l,μn)(μn,μn+1)+(μn+1,μn+2)+...+(μn+l1,μn+l)(qρ2)n1qρ2(μ0,μ1). (3.1)

    Choosing 1<q<min{1ρ1,1ρ2} and taking limit as n, we have (μn) is a Cauchy sequence in N. Let uN be the limit point of (μn). We show that uQ2. Otherwise, let N be the positive integer such that D(u,Q2μn)>0=(u,μn), nN. Then (μ,μn+1)>(u,μn) for all nN, a contradiction. Hence there exist a subsequence μn(j) such that for all jN, we have

    φ(s)max{D(μn(j),Q2μn(j)),12D(u,Q2μn(j))}max{(μn(j),μn(j)+1),D(u,Q2μn(j))}{(μn(j),μn(j)+1),(u,μn(j)+1)}{(μn(j),μn(j)+1),(u,μn(j))+(μn(j),μn(j)+1)}=(u,μn(j))+(μn(j),μn(j)+1)=(u,μn(j))

    (since (μn(j),μn(j)+1)0 as j). Above inequality gives

    0ζ(H(Q2μn(j),Q2u),ρR(μn(j),u))

    implies

    H(Q2μn(j),Q2u)ρR(μn(j),u).

    Thus

    D(u,Q2u)=limjD(μn(j)+1,Q2u)limjH(Q2μn(j),Q2u)limjρ2(μn(j),u)=0.

    So uFix(Q2). In (2.1), letting l, we get

    (μn,u)(qρ2)n1qρ2(μ0,μ1)

    for all nN. Then

    (μ0,u)11qρ2(μ0,μ1)qρ1qρ2.

    On the same lines, we have that for each u0Fix(Q2), there exists μFix(Q1) such that

    (u0,μ)11qρ2(u0,u1)qρ1qρ2.

    Hence

    H(Fix(Q1),Fix(Q2))qρ1max{qρ1,qρ2}.

    Taking limit as q1, we get the desired result.

    A variety of fixed point theorems have been used to explore the existence and uniqueness of solution of functional equations arising in dynamic programming. Utilizing Theorem 2.3, we explore the existence and uniqueness of solution for a nonlinear functional equation. From now on, W1(R) and W2(R) are assumed to be Banach spaces and U1W1, U2W2. Class of all bounded real-valued functions on U1 is denoted by B(U1). The metric space pair B(U1,) where

    dB(f,g)=supμU1|f(μ)g(μ)|,f,gU1,

    is complete. Viewing U1 and U2 as the state and decision spaces respectively, the problem of dynamic programming reduces to the problem of solving the functional equation:

    p(μ)=supλU2F(μ,λ,p(η(μ,λ))),

    where η:U1×U2U1 is the transformation of the process and p(μ) represents the optimal return function with initial functional equation:

    p(μ)=supλU2{v(μ,λ)+G(μ,λ,p(η(μ,λ)))},μU1, (4.1)

    where v:U1×U2R and G:U1×U2×RR are bounded functions. Let Q:B(U1)B(U1) be defined by:

    Q(f(μ))=supλU2{v(μ,λ)+G(μ,λ,p(η(μ,λ)))},μU1,fB(U1).

    Theorem 4.1. Assume that there exists ρ>0 such that for every (μ,λ)U1×U2, f,gB(U1) and tU1 the inequality

    φ(s)max{|f(t)Q(f(t))|,12|g(t)Q(f(t))|}|f(t)g(t)| (4.2)

    implies

    |G(μ,λ,f(t))G(μ,λ,g(t))|ρR(f(t),g(t))ρR(f(t),g(t))+1 (4.3)

    where

    R(f(t),g(t))=max{|f(t)g(t)|,|f(t)Qf(t)|,|g(t)Q(g(t))|,|f(t)Q(g(t))|+|g(t)Q(f(t))|2}.

    Then (4.1) possesses a bounded solution.

    Proof. It is obvious that Q is self map on B(U1). Suppose γ is an arbitrary positive real number and f1,f2B(U1). Take μU1 and choose λ1,λ2U2 such that

    Q(f1(μ))<v(μ,λ1)+G(μ,λ1,f1(η1))+γ (4.4)
    Q(f2(μ))<g(μ,λ2)+G(μ,λ2,f2(η2))+γ, (4.5)

    where ηi=ηi(μ,λi), i=1,2. By definition of Q, we get

    Q(f1(μ))v(μ,λ2)+G(μ,λ2,f1(η2))Q(f2(μ))v(μ,λ1)+G(μ,λ1,f2(η1)).

    If the inequality (4.2) holds with f=f1,g=f2, then from (4.3), (4.4) and (4.6), we have

    Q(f1(μ))Q(f2(μ))<G(μ,λ1,f1(η1))G(μ,λ1,f2(η1))+γρR(f1(t),f2(t))ρR(f1(t),f2(t))+1+γ. (4.6)

    Similarly, from (4.3), (4.5) and (4.6), we have

    Q(f2(μ))Q(f1(μ))<ρR(f1(t),f2(t))ρR(f1(t),f2(t))+1+γ. (4.7)

    Hence, from (4.6) and (4.7), we obtain that

    |Q(f1(μ))Q(f2(μ))|<ρR(f1(t),f2(t))ρR(f1(t),f2(t))+1+γ,

    since the inequality holds for any μU1 and γ>0, we get that

    φ(s)max{dB(f1,Q(f1)),12dB(f2,Q(f1))}dB(f1,f2)

    implies

    dB(Q(f1),Q(f2))ρmax{dB(f1,f2),db(f1,Qf1),dB(f2,Qf2),dB(f1,Qf2)+dB(f2,Qf1)2},

    so if we choose ζ(α,β)=ββ+1α, then we have

    ζ(dB(Qf1,Qf2),ρR(f1,f2))0.

    Hence, all the assertions of Theorem 2.3 are verified and therefore we get the conclusion.

    Example 4.1. Let W1=R=W2, U1=[1,50], U2=R+. We define η:U1×U2U1, v:U1×U2R and G:U1×U2RR by

    η(μ,λ)=50μ+λ6μ2+λ6,
    v(μ,λ)=sin(μ+λ2)7λ2+λ+1

    and

    A(μ,λ,z)=z|sin(μ2+λ2).

    Now for s=0.5, φ(s)=12. Therefore for ρ=0.65, it is clear that (4.2)-(4.3) are satisfied. Hence from Theorem 2.3 that the functional equation (4.1) possesses a bounded solution.

    In this paper we introduced a new type of set valued contraction in Suzuki sense together with simulation functions and proved some new fixed point and data dependence theorems for such class of mappings. We gave an example to prove the validity of our results. At last, we presented an application to nonlinear functional equation arising in dynamical system to show the usability of obtained results.

    The author Thabet Abdeljawad would like to thank Prince Sultan University for funding this work through the research group Nonlinear Analysis Methods in Applied Mathematics (NAMAM)(Group Number RG-DES-2017-01-17).

    The authors declare no conflict of interest.



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