The main aim of this work is to use the XOR-operation technique to find the common solutions for a new class of extended system of fuzzy ordered variational inclusions with its corresponding system of fuzzy ordered resolvent equations involving the ⊕ operation and fixed point problems, which are slightly different from corresponding problems considered in several recent papers in the literature and are more advantageous. We establish that the system of fuzzy ordered variational inclusions is equivalent to a fixed point problem and a relationship between a system of fuzzy ordered variational inclusions and a system of fuzzy ordered resolvent equations is shown. We prove the existence of a common solution and discuss the convergence of the sequence of iterates generated by the algorithm for a considered problem. The iterative algorithm and results demonstrated in this article have witnessed, a significant improvement for many previously known results of this domain. Some examples are constructed in support of the main results.
Citation: Iqbal Ahmad, Mohd Sarfaraz, Syed Shakaib Irfan. Common solutions to some extended system of fuzzy ordered variational inclusions and fixed point problems[J]. AIMS Mathematics, 2023, 8(8): 18088-18110. doi: 10.3934/math.2023919
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The main aim of this work is to use the XOR-operation technique to find the common solutions for a new class of extended system of fuzzy ordered variational inclusions with its corresponding system of fuzzy ordered resolvent equations involving the ⊕ operation and fixed point problems, which are slightly different from corresponding problems considered in several recent papers in the literature and are more advantageous. We establish that the system of fuzzy ordered variational inclusions is equivalent to a fixed point problem and a relationship between a system of fuzzy ordered variational inclusions and a system of fuzzy ordered resolvent equations is shown. We prove the existence of a common solution and discuss the convergence of the sequence of iterates generated by the algorithm for a considered problem. The iterative algorithm and results demonstrated in this article have witnessed, a significant improvement for many previously known results of this domain. Some examples are constructed in support of the main results.
The variational inclusion problem propelled by Hassouni and Moudafi [16] is a general version of the variational inequality problem introduced by Stampacchia [28] and Fichera [15] in the past decade. As per use of the variational inequalities and inclusions problems, these will help us solve and design various schemes to solve problems that arose in pure and applied sciences (i.e., network equilibrium, traffic network problems, economics, and many more) [10,11,13,24,25,26,27,33].
On the other hand, Zadeh [31] came up with a very interesting and fascinating object called fuzzy sets; as the theory for fuzzy sets evolved, it has extensively been utilized in different disciplines of mathematical research, as well as other areas of pure and applied sciences. The emergence of fuzzy sets were due to a small, notable, and powerful extension as an addition of an interval [0,1] instead of a set {0,1} to the co-domain of the characteristic function as χ:C⊂H→[0,1]. After this powerful characterization, this concept will enter into a new zone and the discussion of crisp and fuzzy sets came into existence. It also fulfills the gaps between computer science and mathematics, and even many more subjects too.
Variational inequalities for fuzzy mappings were first introduced and studied by Chang and Zhu [9] in 1989. Following this, many authors have gone through the sandwich concept of variational inequalities and fuzzy mappings for their matter of interest for deep and well mannered details [7,8,12,17,18,22,23].
Another problem, known as the fixed point problem, plays an essential role in the theory of nonlinear analysis, algorithmic development, optimization, and applications across all the discipline of pure and applied sciences, and many more [10,14,29,30,32]. Therefore, the fixed point problem is the problem of obtaining p∈H such that S(p)=p, where S is a nonlinear mapping on H. In this paper, we use Fix(S) to denote the fixed point set of S, that is, Fix(S)={p∈H:S(p)=p}.
The idea of calculating the number of fixed points in an ordered Banach space was propelled by Amman [1]. Then, people working on variational inclusion and inequalities problems in ordered spaces jumped into the lead and various ways of computing the fixed points/solution of variational inclusion/inequalities problems in the light of ordered Hilbert/Banach spaces. Li and his team has grab the title to first work on ordered resolvent equations and their corresponding ordered variational inequalities/inclusion problems [19,20,21]. They created a nice line of work regarding the mixture of ordered variational inequalities/inclusion problems involving the concept of operators (e.g., XOR, XNOR, OR and AND).
Motivated by the research of this inclination, Ahmad and his team enrich the work of Li and his team and improvise the structure of resolvent equations corresponding with their variational inequalities/inclusion problems in a broader settings involving XOR, XNOR operator, etc. [2,3,4,5].
The whole draft is divided into multiple segments: The first segment is a well equipped collection of basic preliminaries; the second segment is devoted to the formulation of the system of fuzzy ordered variational inclusions with its corresponding system of fuzzy ordered resolvent equations involving ⊕ operation and fixed point problems, and discusses the existence of common solution results; a subsegment is also devoted to iterative schemes and a convergence result for the system of fuzzy ordered variational inclusions with its corresponding system of resolvent equations involving ⊕ operation and fixed point problems and the last segment is devoted to the conclusion in which the future scope of the problem is discussed and a comprehensive record of references is there.
Throughout the manuscript, we assume that H is an ordered Banach space endowed with a norm ‖⋅‖ and an inner product ⟨⋅,⋅⟩. Let 2H (respectively, CB(H)) be the family of all non-void (respectively, non-empty closed and bounded) subsets of H.
Let F(H) be a collection of all fuzzy sets defined over H. A map F:H→F(H) is said to be fuzzy mapping on H. For each p∈H, F(p) (in the sequel, it will be denoted by Fp) is a fuzzy set on H and Fp(q) is the membership degree of q in Fp.
A fuzzy mapping F:H→F(H) is said to be closed if for each p∈H, the function q→Fp(q) is upper semi-continuous, that is, for any given net {qα}⊂H, satisfying qα→q0∈H, we have
limαsupFp(qα)≤Fp(q0). |
For R∈F(H) and λ∈[0,1], the set (R)λ={p∈H:R(p)≥λ} is called a λ-cut set of R. Let F:H→F(H) be a closed fuzzy mapping satisfying the following condition:
(∗) If there exists a function a:H→[0,1] such that for each p∈H, the set (Fp)a(p)={q∈H:Fp(q)≥a(p)} is a nonempty bounded subset of H.
If F is a closed fuzzy mapping satisfying the condition (∗), then for each p∈H, (Fp)a(p)∈CB(H). In fact, let {qα}⊂(Fp)a(p) be a net and qα→q0∈H, then (Fp)a(p)≥a(p), for each α. Since F is a closed, we have
Fq(q0)≥limαsupFp(qα)≥a(p), |
which implies that q0∈(Fp)a(p) and so (Fp)a(p)∈CB(H).
For the presentation of the results, let us demonstrate some known definitions and results.
Definition 2.1. [14,19] A nonempty subset C of H is called a normal cone if there exists a constant ν>0 such that for 0≤p≤q, we have ||p||≤ν||q||, for any p,q∈H.
Definition 2.2. [8] Let G:H→H be a single-valued mapping. Then,
(i) G is said to be β-ordered compression mapping, if G is a comparison mapping and
G(p)⊕G(q)≤β(p⊕q),for0<β<1. |
(ii) G is said to be ϑ-order non-extended mapping, if there exists a constant ϑ>0 such that
ϑ(p⊕q)≤G(p)⊕G(q),for allp,q∈H. |
Definition 2.3. [21] A mapping N:H×H→H is said to be (κ,ν)-ordered Lipschitz continuous, if p∝q, u∝v, then N(p,u)∝N(q,v) and there exist constants κ,ν>0 such that
N(p,u)⊕N(q,v)≤κ(p⊕q)+ν(u⊕v),for allp,q,u,v∈H. |
Definition 2.4. [19] A compression mapping h:H→H is said to be restricted accretive mapping if there exist two constants ξ1,ξ2∈(0,1] such that for any a,z∈H,
(h(p)+I(p))⊕(h(q)+I(q))≤ξ1(h(p)⊕h(q))+ξ2(p⊕q) |
holds, where I is the identity mapping on H.
Definition 2.5. [4,20] A set-valued mapping A:H→CB(H) is said to be D-Lipschitz continuous, if for any p,q∈H, p∝q, there exists a constant δDA>0 such that
D(A(p),A(q))≤δDA(p⊕q),for allp,q,u,v∈H. |
Definition 2.6. [4] Let G:H→H be a strong comparison and ϑ-order non-extended mapping. Then, a comparison mapping B:H→2H is said to be an ordered (α,λ)-XOR-weak-ANODD set-valued mapping if B is α-weak-non-ordinary difference mapping and λ-XOR-ordered strongly monotone mapping, and [G⊕λB](H)=H, for λ,β,α>0.
Definition 2.7. [4] Let G:H→H be a strong comparison and ϑ-order non-extended mapping. Let B:H→2H be an ordered (α,λ)-XOR-weak-ANODD set-valued mapping. The resolvent operator JλB:H→H associated with B is defined by
JλB(p)=[G⊕λB]−1(p),∀p∈H, | (2.1) |
where λ>0 is a constant.
Lemma 2.1. [4,20,21] Let ⊙ be an XNOR operation and ⊕ be an XOR operation. Then, the following relations hold:
(i) p⊙p=p⊕p=0, p⊙q=q⊙p=−(p⊕q)=−(q⊕p);
(ii) (λp)⊕(λq)=|λ|(p⊕q);
(iii) 0≤p⊕q, if p∝q;
(iv) (p+q)⊙(u+v)≥(p⊙u)+(q⊙v);
(v) If p,q and w are comparative to each other, then (p⊕q)≤p⊕w+w⊕q;
(vi) (αp)⊕(βp)=|α−β|p=(α⊕β)p, if p∝0,
(vii) ‖p⊕q‖≤‖p−q‖≤ν‖p⊕q‖;
(viii) If p∝q, then ‖p⊕q‖=‖p−q‖, for all p,q,u,v,w∈H and α,β,λ∈R.
Lemma 2.2. Let G:H→H be a strong comparison and ϑ-order non-extended mapping. Let B:H→2H be an ordered (α,λ)-XOR-weak ANODD set-valued mapping with respect to JλB, for αλ>1. Then, the resolvent operator JλB satisfying the following condition:
JλB(p)⊕JλB(q)≤1ϑ(αλ⊕1)(p⊕q),∀p,q∈Hp, |
i.e., the resolvent operator JλB is 1ϑ(αλ⊕1)-nonexpansive mapping.
Lemma 2.3. [4] Let G:H→H be a strong comparison and ϑ-order non-extended mapping. Let B:H×H→2H be an ordered (α,λ)-XOR-weak ANODD set-valued mapping with respect to the first argument. The resolvent operator JλB:H→H associated with B is defined by
JλB(.,z)(p)=[G⊕λB(.,z)]−1(p),for z∈H. | (2.2) |
Then, for any given z∈H, the resolvent operator JλB(.,z):H→H is well-defined, single valued, continuous, comparison and 1ϑ(αλ⊕1)-nonexpansive mapping with λα>1, that is
JλB(.,z)(p)⊕JλB(.,z)(q)≤1ϑ(αλ⊕1)(p⊕q),for allp,q∈H. | (2.3) |
For each i∈Λ={1,2,3,⋯,m}, let Hi be an ordered Banach space equipped with the norm ‖.‖i and Ki be a normal cone with normal constant νi, and let hi,Gi:Hi→Hi and Ni:m∏j=1Hj→Hi be the ordered single-valued comparison mappings, respectively. Let Si,Ui,Vi:Hi→Fi(Hi) be closed fuzzy mappings satisfying the following condition (∗), with functions di,ci,ei:Hi→[0,1] such that for each pi∈Hi, we have (Si,pi)di(pi),(Ui,pi)ci(pi), and (Vi,pi)ei(pi) in CB(Hi), respectively. Let Bi:Hi×Hi→2Hi be the set-valued mapping. We consider the following extended nonlinear system of fuzzy ordered variational inclusions involving the ⊕ operation and the solution set is denoted by ENSFOVI(Ni,Gi,Bi,hi,i=1,2,⋯,m):
For each i∈Λ and some ωi>0, find (p1,p2,⋯,pm)∈m∏i=1Hi such that Si,pi(pi)≥di(pi),Ui,pi(pi)≥ci(pi) and Vi,pi(pi)≥ei(pi), i.e., qi∈(Si,pi)di(pi),ui∈(Ui,pi)ci(pi) and vi∈(Vi,pi)ei(pi),
{0∈N1(q1,q2,⋯,qm)⊕G1(u1)+ω1B1(h1(p1),v1),0∈N2(q1,q2,⋯,qm)⊕G2(u2)+ω2B2(h2(p2),v2),0∈N3(q1,q2,⋯,qm)⊕G3(u3)+ω3B3(h3(p3),v3),...0∈Nm(q1,q2,⋯,qm)⊕Gm(um)+ωmBm(hm(pm),vm). | (3.1) |
Equivalently, for each i∈Λ,
0∈Ni(q1,q2,⋯,qm)⊕Gi(ui)+ωiBi(hi(pi),vi). | (3.2) |
Some special cases of problem (3.2) are as follows:
(i) For i=1, if N1(q1,q2,⋯,qm)=N1(q1,q2) and ω1=1, then problem (3.2) reduces to the problem of finding p1,q1,q2,u1,z1∈H1 such that
0∈N1(q1,q2)⊕G1(u1)+B1(h1(p1),v1). | (3.3) |
Problem (3.3) was considered and studied by Ahmad et al. [4].
(ii) For i=1, if S1,U1,V1=I(identity mapping), B1=−1, N1 is single-valued mapping and N1(p1,p2,⋯,pm)=N1(p1), then problem (3.2) reduces to the problem of finding p1∈H1 such that
ω1∈N1(p1)⊕G1(p1). | (3.4) |
Problem (3.4) was considered and studied by Li et al. [21].
By taking suitable choices of the mappings hi,Ni,Bi,Si,Ui,Vi and the space Hi, for each i∈Λ, in above problem (3.1), one can easily obtain the problems considered and studied in [1,2,3,4,19,20,21] and references therein.
For each i∈Λ={1,2,3,⋯,m}, putting di(pi)=ci(pi)=ei(pi)=1, for all pi∈Hi, problem (3.1) includes many kinds of variational inequalities and variational inclusion problems [7,9,17,22,23,24].
In support of our problem (3.2), we provide the following example.
Example 3.1. For each i∈Λ={1,2,3,⋯,m}, let Hi=[0,11i] and C = {pi∈Hi:0≤pi≤5i} be the normal cone. Let Si,Ui,Vi:Hi→Fi(Hi) be the closed fuzzy mappings and the mappings di,ci,ei:Hi→[0,1] defined by for all pi,qi,ui,vi∈Hi.
Si,pi(qi)={13i+|qi−2i|,ifpi∈[0,1],13i+pi|qi−2i|,ifpi∈(1,11i],Ui,pi(ui)={12i2+(ui−i)2,ifpi∈[0,1],12i+pi(ui−i)2,ifpi∈(1,11i], |
Vi,p(vi)={1i+pi|vi−3i|,ifpi∈[0,1],12i+|vi−3i|,ifpi∈(1,11i],di(pi)={15i,ifpi∈[0,1],13i+2ipi,ifpi∈(1,11i], |
ci(pi)={13i2,ifpi∈[0,1],1i(2+ipi),ifpi∈(1,11i],andei(pi)={1i+3ipi,ifpi∈[0,1],15i,ifpi∈(1,11i]. |
For any pi∈[0,1], we have
(Si,pi)di(pi)={qi:Si,pi(qi)≥15}={{qi:13i+|qi−2i|≥15i}=[0,4i],(Ui,pi)ci(pi)={ui:Ui,pi(ui)≥13i2}={ui:12i2+(ui−i)2≥13i2}=[0,2i],(Vi,pi)ei(pi)={vi:Vi,pi(vi)≥1i+3ipi}={vi:1i+pi|vi−3i|≥1i+3ipi}=[0,6i], |
and for any pi∈(1,11i], we have
(Si,pi)di(pi)={qi:Si,pi(qi)≥13i+2ipi}={{qi:13i+pi|qi−2i|≥13i+2ipi}=[0,4i],(Ui,pi)ci(pi)={ui:Ui,pi(ui)≥1i(2+ipi)}={ui:12i+pi(ui−i)2≥1i(2+ipi)}=[0,2i],(Vi,pi)ei(pi)={vi:Vi,pi(vi)≥15i}={vi:12i+|vi−3i|≥15i}=[0,6i]. |
Now, we define the single-valued mappings hi,Gi:Hi→Hi and Ni:m∏j=1Hj→Hi by
hi(pi)=pi5,Gi(ui)=ui7andNi(q1,q2,⋯,qm)=19m∑i=1qi, |
and the set-valued mapping Bi:Hi×Hi→2Hi defined by
Bi(hi(pi),vi)={hi(pi)+vi5:pi∈[0,11i]andvi∈(Vi,pi)ci(pi)}. |
In the above view, it is easy to verify that 0∈Ni(q1,q2,⋯,qm)⊕Gi(ui)+ωiBi(hi(pi),vi), that is, problem (3.2) is satisfied.
Example 3.2. For i=1, let H1=Rnp, Ω be a non-empty subset of Rnp, B1 is single valued mapping and V1=I (identity mapping), and the other functions, that is G1,N1,S1,U1,d1,c1 are equal to zero and the fuzzy coalitions of players are identified with the measurable functions e1 from Ω to [0,1]. Define B:H1×H1→H1 by
B(h1(p1),p1)=∫LP(h1(u),u)h1(u)du, |
we associate each player with its action P(.,u), where P:Ω×H1→Rnp, Ω is a non-empty subset of Rnp, and each fuzzy coalition h1(u) with its action ∫LP(h1(u),u)h1(u)du. This continuum of players problem can be obtained from xtended system of fuzzy ordered variational inclusions (3.1). For more details see Chapter 13 and Exercise 13.2 of the book "Optima and equilibria" by Aubin [6] and Example 3.1 in [4].
Related to the extended nonlinear system of fuzzy ordered variational inclusions (3.2), we consider the following extended nonlinear system of fuzzy ordered resolvent equations problem:
For each i∈Λ, find (p1,p2,⋯,pm)∈m∏i=1Hi such that si∈Hi,Si,pi(pi)≥di(pi),Ui,pi(pi)≥ci(pi) and Vi,pi(pi)≥ei(pi), i.e., qi∈(Si,pi)di(pi),ui∈(Ui,pi)ci(pi) and vi∈(Vi,pi)ei(pi),
Ni(q1,q2,⋯,qm)⊙λ−1iωiRBi(.,vi)(si)=Gi(ui), | (3.5) |
where λi>0 is a constant and RBi(.,vi)(si)=[Ii⊕Ai∘JλiBi(.,vi)](si).
The following lemma ensures the equivalence between the extended nonlinear system of fuzzy ordered variational inclusions involving the ⊕ operation (3.1) and the extended nonlinear system of fuzzy ordered resolvent equations problem (3.5).
Lemma 3.1. For each i∈Λ, let Ai,hi:Hi→Hi and Ni:m∏j=1Hj→Hi be the nonlinear ordered single-valued comparison mappings, respectively. Let Si,Ui,Vi:Hi→Fi(Hi) and Bi:Hi×Hi→2Hi be the set-valued mappings. Then, the followings are equivalent for each i∈Λ,
(i) (p1,p2,⋯,pm)∈m∏i=1Hi is a solution of problem (3.1),
(ii) for each i, pi∈Hi such that qi∈(Si,pi)di(pi),ui∈(Ui,pi)ci(pi) and vi∈(Vi,pi)ei(pi) is a fixed point of a mapping Ti:Hi→2Hi defined by
Ti(pi)=Ni(q1,q2,⋯,qm)⊕Gi(ui)+ωiBi(hi(pi),vi)+pi, | (3.6) |
(iii) (p1,p2,⋯,pm)∈m∏i=1Hi is a solution of the following equation:
hi(pi)=JλiBi(.,vi)[Ai(hi(pi))⊕λiωi(Ni(q1,q2,⋯,qm)⊙Gi(ui))], | (3.7) |
(iv) (p1,p2,⋯,pm)∈m∏i=1Hi is a solution of the problem (3.5), where
si=Ai(hi(pi))⊕λiωi(Ni(q1,q2,⋯,qm)⊙Gi(ui)),hi(pi)=JλiBi(.,vi)(si). | (3.8) |
Proof. (i)⟹(ii) For each i∈Λ, adding pi to both sides of (3.2), we have
0∈Ni(q1,q2,⋯,qm)⊕Gi(ui)+ωiBi(hi(pi),vi)⟹pi∈Ni(q1,q2,⋯,qm)⊕Gi(ui)+ωiBi(hi(pi),vi)+pi=Ti(pi). |
Hence, pi is a fixed point of Ti, for each i∈Λ.
(ii)⟹(iii) Let pi be a fixed point of Ti, then
pi∈Ti(pi)=Ni(q1,q2,⋯,qm)⊕Gi(ui)+ωiBi(hi(pi),vi)+pi⟹Ai(hi(pi))⊕λiωi(Ni(q1,q2,⋯,qm)⊙Gi(ui))∈[Ai⊕λiBi(⋅,vi)](hi(pi)). |
Hence, hi(pi)=JλiBi(.,vi)[Ai(hi(pi))⊕λiωi(Ni(q1,q2,⋯,qm)⊙Gi(ui))], for each i∈Λ.
(iii)⟹(iv) Taking si=Ai(hi(pi))⊕λiωi(Ni(q1,q2,⋯,qm)⊙Gi(ui)), from (3.7), we have hi(pi)=JλiBi(.,vi)(si), so,
si=Ai(hi(pi))⊕λiωi(Ni(q1,q2,⋯,qm)⊙Gi(ui)), |
which implies that
si⊕Ai(JλiBi(.,vi)(si))=λiωi(Ni(q1,q2,⋯,qm)⊙Gi(ui))⟹[Ii⊕Ai∘JλiBi(.,vi)](si)=λiωi(Ni(q1,q2,⋯,qm)⊙Gi(ui))⟹Ni(q1,q2,⋯,qm)⊙λ−1iωiRBi(.,vi)(si)=Gi(ui). |
Consequently, (p1,p2,⋯,pm)∈m∏i=1Hi is a solution of the extended system of fuzzy ordered resolvent equations problem (3.5), for each i∈Λ.
(iv)⟹(i), from (3.8) we have
hi(pi)=JλiBi(.,vi)(si)=JλiBi(.,vi)[Ai(hi(pi))⊕λiωi(Ni(q1,q2,⋯,qm)⊙Gi(ui))], |
so
Ai(hi(pi))⊕λiωi(Ni(q1,q2,⋯,qm)⊙Gi(ui))∈[Ai⊕λiBi(.,vi)]hi(pi), |
which implies
0∈Ni(q1,q2,⋯,qm)⊕Gi(ui)+ωiBi(hi(pi),vi). |
Therefore, (p1,p2,⋯,pm)∈m∏i=1Hi is a solution of extended nonlinear system of fuzzy ordered variational inclusions (3.1), for each i∈Λ. This completes the proof.
In this section, we discuss an existence and convergence result for the extended nonlinear system of fuzzy ordered variational inclusions (3.1) and corresponding its extended nonlinear system of fuzzy ordered resolvent equations problem (3.5).
Theorem 4.1. For each i∈Λ={1,2,3,⋯,m}, let Hi be a real Banach space equipped with the norm ‖.‖i and Ki be a normal cone with normal constant νi. Let Si,Ui,Vi:Hi→Fi(Hi) be closed fuzzy mappings satisfying the following condition (∗), with functions di,ci,ei:Hi→[0,1] such that for each pi∈Hi, we have (Si,pi)di(pi),(Ui,pi)ci(pi) and (Vi,pi)ei(pi) in CB(Hi), respectively. Let Ai,hi,Gi:Hi→Hi and Ni:m∏j=1Hj→Hi be the nonlinear single-valued mappings. Let Bi:Hi×Hi→2Hi be an ordered (αi,λi)-XOR-weak ANODD set-valued mapping with respect to the first argument. For each i∈Λ, suppose that the following conditions hold:
(i) hi is continuous, βi-oredered compression and (ζi,ηi)-ordered restricted-accretive mapping, βi∈(0,1) and ζi,ηi∈(0,1], respectively;
(ii) Ai is continuous and τi-oredered compression mapping, τi∈(0,1);
(iii) Gi is continuous, ϑi-order non-extended mapping and μi-oredered compression mapping, μi∈(0,1) and ϑi>0, respectively;
(iv) Ni is continuous, κi-ordered compression mapping in the ith-argument and κi,j-ordered compression mapping in the jth-argument for each j∈Λ,i≠j, respectively;
(v) Si, Ui and Vi are ordered Lipschitz type continuous mapping with constants δSi, δUi and δVi, respectively.
If the following conditions
(a)JλiBi(.,xi)(pi)⊕JλiBi(.,yi)(pi)≤ξi(xi⊕yi),for allpi,xi,yi∈Hi,ξi>0, | (4.1) |
(b){Θi=ωi(ζi+ηiβi+ξiδVi)+θi(τiβiω⊕λiμiδUi+λiκiδSi)<ωimin{1,1νi},Θi+m∑ℓ∈Λ,ℓ≠iνℓλℓθℓωℓκℓ,iδSℓ,i<1,θi=1ϑi(αiλi⊕1)andαiλi>1,for alli∈Λ | (4.2) |
are satisfied, then there exists (p∗1,p∗2,⋯,p∗m)∈m∏i=1Hi such that qi∈(Si,pi)di(pi),ui∈(Ui,pi)ci(pi) and vi∈(Vi,pi)ei(pi) satisfies the extended nonlinear system of fuzzy ordered resolvent equations problem (3.5) and so (p∗1,p∗2,⋯,p∗m) is a solution of the extended nonlinear system of fuzzy ordered variational inclusions (3.2), respectively.
Proof. By Lemma 3.1, it is sufficient to prove that there exists (p∗1,p∗2,⋯,p∗m) satisfying (3.1). For each i∈Λ, we define ϕi:m∏j=1Hj→Hi by
ϕi(p1,p2,⋯,pm)=pi+hi(pi)−JλiBi(.,vi)[Ai(hi(pi))⊕λiωi(Ni(q1,q2,⋯,qm)⊙Gi(ui))], | (4.3) |
for all (p1,p2,⋯,pm)∈m∏i=1Hi. Define ‖.‖∗ on m∏i=1Hi by
‖(p1,p2,⋯,pm)‖∗=m∑i=1‖pi‖i,∀(p1,p2,⋯,pm)∈m∏i=1Hi. | (4.4) |
It is easy to see that (m∏i=1Hi,‖.‖∗) is a Banach space. Additionally, define ψ:m∏i=1Hi→m∏i=1Hi as follows:
ψ(p1,p2,⋯,pm)=(ϕ1(p1,p2,⋯,pm),ϕ2(p1,p2,⋯,pm),⋯,ϕm(p1,p2,⋯,pm)), | (4.5) |
for all (p1,p2,⋯,pm)∈m∏i=1Hi. First of all, we prove that ψ is a contraction mapping.
Let (p1,p2,⋯,pm),(ˆp1,ˆp2,⋯,ˆpm)∈m∏i=1Hi be given. By assumptions (i)–(v) and Lemma 2.1, for each i∈Λ, we have
0≤ϕi(p1,p2,⋯,pm)⊕ϕi(ˆp1,ˆp2,⋯,ˆpm)=[pi+hi(pi)−JλiBi(.,vi)[Ai(hi(pi))⊕λiωi(Ni(q1,q2,⋯,qm)⊙Gi(ui))]]⊕[ˆpi+hi(ˆpi)−JλiBi(.,ˆvi)[Ai(hi(ˆpi))⊕λiωi(Ni(ˆq1,ˆq2,⋯,ˆqm)⊙Gi(ˆui))]]≤ζi(pi⊕ˆpi)+ηi(hi(ˆpi)⊕hi(ˆpi))+ξi(vi⊕ˆvi)+JλiBi(.,vi)[Ai(hi(pi))⊕λiωi(Ni(q1,q2,⋯,qm)⊙Gi(ui))]⊕JλiBi(.,vi)[Ai(hi(ˆpi))⊕λiωi(Ni(ˆq1,ˆq2,⋯,ˆqm)⊙Gi(ˆui))]≤ζi(pi⊕ˆpi)+ηi(hi(ˆpi)⊕hi(ˆpi))+ξiDi(Vi(pi),Vi(ˆpi))+θi((Ai(hi(pi))⊕Ai(hi(ˆpi)))⊕λiωi(−(Ni(q1,q2,⋯,qm)⊕Gi(ui))⊕(−Ni(ˆq1,ˆq2,⋯,ˆqm)⊕Gi(ˆui))))≤ζi(pi⊕ˆpi)+ηiβi(pi⊕ˆpi)+ξiδVi(pi⊕ˆpi)+θi((τiβi(pi⊕ˆpi))⊕λiωi(μi(ui⊕ˆui))⊕(Ni(q1,q2,⋯,qm)⊕Ni(ˆq1,ˆq2,⋯,ˆqm)))≤(ζi+ηiβi+ξiδVi)(pi⊕ˆpi)+(θi(τiβiωi⊕λiμiδUi)ωi(pi⊕ˆpi))⊕(λiθiωi(Ni(q1,q2,⋯,qm)⊕Ni(ˆq1,ˆq2,⋯,ˆqm))). | (4.6) |
Since Ni is a κi-ordered comparison mapping in the ith arguments and a κij-ordered comparison mapping in the jth arguments (i≠j), and Si is ordered δSi-Lipschitz continuous mapping.
Ni(q1,q2,⋯,qm)⊕Ni(ˆq1,ˆq2,⋯,ˆqm)≤Ni(q1,q2,⋯,qi−1,qi,qi+1,⋯,qm)⊕Ni(q1,q2,⋯,qi−1,ˆqi,qi+1,⋯,qm)+∑j∈Λ,i≠j(Ni(q1,q2,⋯,qj−1,qj,qj+1,⋯,qm)⊕Ni(q1,q2,⋯,qj−1,ˆqj,qj+1,⋯,qm))≤κi(qi⊕ˆqi)+∑j∈Λ,i≠jκi,j(qj⊕ˆqj)≤κiDi(Si(pi),Si(ˆpi))+∑j∈Λ,i≠jκi,jDj(Sj(pj),Sj(ˆpj))≤κiδSi(pi⊕ˆpi)+∑j∈Λ,i≠jκi,jδSi,j(pj⊕ˆpj). | (4.7) |
Using (4.7), (4.6) becomes
ϕi(p1,p2,⋯,pm)⊕ϕi(ˆp1,ˆp2,⋯,ˆpm)≤(ζi+ηiβi+ξiδVi)(pi⊕ˆpi)+(θi((τiβiωi⊕λiμiδUi)+λiκiδSi)ωi(pi⊕ˆpi))⊕(λiθiωi∑j∈Λ,i≠jκi,jδSi,j(pj⊕ˆpj)). |
By Definition 2.1 and Lemma 2.2, we have
‖ϕi(p1,p2,⋯,pm)⊕ϕi(ˆp1,ˆp2,⋯,ˆpm)‖i≤Θi‖pi⊕ˆpi‖i+νiλiθiωi∑j∈Λ,i≠jκi,jδSi,j‖pj⊕ˆpj‖j, | (4.8) |
where Θi=(νi(ζi+ηiβi+ξiδSi)+νiθi(τiβiωi⊕λiμiδUi+λiκiδSiωi).
From (4.5) and (4.8), we get
‖ψ(p1,p2,⋯,pm)⊕ψ(ˆp1,ˆp2,⋯,ˆpm)‖∗=m∑i=1‖ϕi(p1,p2,⋯,pm)⊕ϕi(ˆp1,ˆp2,⋯,ˆpm)‖i≤m∑i=1(Θi‖pi⊕ˆpi‖i+νiλiθiωi∑j∈Λ,i≠jκi,jδSi,j‖pj⊕ˆpj‖j)=(Θ1+m∑ℓ=2νℓλℓθℓωℓκℓ,1δSℓ,1)‖p1⊕ˆp1‖1+(Θ2+m∑ℓ∈Λ,ℓ≠2νℓλℓθℓωℓκℓ,2δSℓ,2)‖p2⊕ˆp2‖2+(Θ3+m∑ℓ∈Λ,ℓ≠3νℓλℓθℓωℓκℓ,3δSℓ,3)‖p3−ˆp3‖3+⋯+(Θm+m∑ℓ=1νℓλℓθℓωℓκℓ,mδSℓ,m)‖pm⊕ˆpm‖m≤max{Θi+m∑ℓ∈Λ,ℓ≠iνℓλℓθℓωℓκℓ,iδSℓ,i:i∈Λ}m∑i=1‖pi⊕ˆpi‖i, |
i.e.,
‖ψ(p1,p2,⋯,pm)⊕ψ(ˆp1,ˆp2,⋯,ˆpm)‖∗≤Ω‖(p1,p2,⋯,pm)⊕(ˆp1,ˆp2,⋯,ˆpm)‖∗, | (4.9) |
where Ω=max{Θi+m∑ℓ∈Λ,ℓ≠iνℓλℓθℓωℓκℓ,iδSℓ,i:i∈Λ}. The condition (4.2) guarantees that 0≤Ω<1. By the inequality (4.9), we note that ψ is a contraction mapping. Therefore, there exists a unique point (p∗1,p∗2,⋯,p∗m)∈m∏i=1Hi such that ψ(p∗1,p∗2,⋯,p∗m)=(p∗1,p∗2,⋯,p∗m). From (4.3) and (4.5), it follows that (p∗1,p∗2,⋯,p∗m) such that q∗i∈(Si,p∗i)di(p∗i),u∗i∈(Ui,p∗i)ci(p∗i) and v∗i∈(Vi,p∗i)ei(p∗i) satisfies in Eq (3.7), i.e., for each i∈Λ,
hi(p∗i)=JλiBi(.,v∗i)[Ai(hi(p∗i))⊕λiωi(Ni(q∗1,q∗2,⋯,q∗m)⊙Gi(u∗i))]. |
By Lemma 3.1, we conclude that (p∗1,p∗2,⋯,p∗m)∈m∏i=1Hi is a unique solution of the extended system of fuzzy ordered variational inclusions (3.2) and satisfies the extended system of fuzzy ordered resolvent equations problem (3.5). This completes the proof.
For each i∈Λ, let Qi:Hi→Hi be a γi-ordered Lipschitz continuous mapping. We define the self-mapping R:m∏i=1Hi→m∏i=1Hi by
R(p1,p2,⋯,pm)=(Q1p1,Q2p2,⋯,Qmpm),∀(p1,p2,⋯,pm)∈m∏i=1Hi. | (4.10) |
Then, R=(Q1,Q2,⋯,Qm):m∏i=1Hi→m∏i=1Hi is a max{γi:i∈Λ}-ordered Lipschitz continuous mapping with respect to the norm ‖.‖∗ in m∏i=1Hi. To see this fact, let (p1,p2,⋯,pm),(ˆp1,ˆp2,⋯,ˆpm)∈m∏i=1Hi be given. Then, we have
‖R(p1,p2,⋯,pm)⊕R(ˆp1,ˆp2,⋯,ˆpm)‖∗=m∑i=1‖Qipi⊕Qiˆpi‖i≤m∑i=1γi‖pi⊕ˆpi‖i≤max{γi:i∈Λ}m∑i=1‖pi⊕ˆpi‖i=max{γi:i∈Λ}‖(p1,p2,⋯,pm)⊕(ˆp1,ˆp2,⋯,ˆpm)‖∗. |
We denote the sets of all fixed points of Qi,i∈Λ and R by Fix(Qi) and Fix(R), respectively, and the set of all solutions of the extended nonlinear system of fuzzy ordered variational inclusions (3.1) by ENSFOVI(Ni,Gi,Bi,hi,i=1,2,⋯,m). In view of (4.10), for any (p1,p2,⋯,pm)∈m∏i=1Hi,(p1,p2,⋯,pm)∈Fix(R) if and only if pi∈Fix(Qi),i∈Λ, i.e., Fix(R)=Fix(Q1,Q2,⋯,Qm)=m∏i=1Fix(Qi).
If (p∗1,p∗2,⋯,p∗m)∈Fix(R)∩ESFOVI(Ni,Gi,Bi,hi,i=1,2,⋯,m), then by using Lemma 3.1, one can easily to see that for each i∈Λ,
{p∗i=Qip∗i=p∗i−hi(p∗i)+JλiBi(.,v∗i)[Ai(hi(p∗i))⊕λiωi(Ni(q∗1,q∗2,⋯,q∗m)⊙Gi(u∗i))]=Qi[p∗i−hi(p∗i)+JλiBi(.,v∗i)[Ai(hi(p∗i))⊕λiωi(Ni(q∗1,q∗2,⋯,q∗m)⊙Gi(u∗i))]]. | (4.11) |
Based on Lemma 3.1, we construct an iterative algorithm for finding the approximate solution of problem (3.1).
Iterative Algorithm 4.1. For each i∈Λ={1,2,3,⋯,m}, let Ai,hi,Gi:Hi→Hi and Ni:m∏j=1Hj→Hi be the nonlinear ordered single-valued comparison mappings, respectively. Let Si,Ui,Vi:Hi→Fi(Hi) be closed fuzzy mappings that satisfy the following condition (∗), with functions di,ci,ei:Hi→[0,1] such that for each pi∈Hi, qi∈(Si,pi)di(pi),ui∈(Ui,pi)ci(pi) and vi∈(Vi,pi)ei(pi). Let Bi:Hi×Hi→2Hi be the set-valued mapping. For any given pi,0∈Hi, qi,0∈(Si,pi,0)di(pi,0),ui,0∈(Ui,pi,0)ci(pi,0) and vi,0∈(Vi,pi,0)ei(pi,0), compute the sequences {pi,n},{qi,n},{ui,n},{vi,n}, and {si,n} by the following iterative schemes with the supposition that pi,n+1∝pi,n, qi,n+1∝qi,n, ui,n+1∝ui,n, vi,n+1∝vi,n, and si,n+1∝si,n, for each i∈Λ and n=0,1,2,⋯,
{si,n+1=Ai(hi(pi,n))⊕λiωi(Ni(q1,n,q2,n,⋯,qm,n)⊙Gi(ui,n)),pi,n+1=(1−αn)pi,n+αnQi[pi,n+hi(pi,n)−JλiBi(.,vi,n)(si,n+1)]+ri,n,qi,n+1∈(Spi,n+1)di(pi,n+1),qi,n+1⊕qi,n≤(1+1n+1)D((Si,pi,n+1)di(pi,n+1),(Si,pi,n)di(pi,n)),ui,n+1∈(Upi,n+1)ci(pi,n+1),ui,n+1⊕ui,n≤(1+1n+1)D((Ui,pi,n+1)ci(pi,n+1),(Ui,pi,n)ci(pi,n)),vi,n+1∈(Vpi,n+1)ei(pi,n+1),vi,n+1⊕vi,n≤(1+1n+1)D((Vi,pi,n+1)ei(pi,n+1),(Vi,pi,n)ei(pi,n)), | (4.12) |
where αn is a sequence in interval [0,1] satisfying ∞∑n=0αn=∞, {ri,n} are sequences in Hi introduced to take the possible inexact computation of the resolvent operator point satisfying the following conditions into account: ri,n⊕0=ri,n and ∞∑n=0‖(r1,n,r2,n,⋯,rm,n)‖<∞.
If for each i∈Λ, Qi=I, then Algorithm 4.1 reduces to the following algorithm.
Iterative Algorithm 4.2. For each i∈Λ, let Ai,hi,Gi,Ni,Bi,Si,Ui,Vi,di,ci,ei be the same as in Theorem 4.1 such that all the conditions of Algorithm 4.1 are satisfied. For any given pi,0∈Hi, qi,0∈(Si,pi,0)di(pi,0),ui,0∈(Ui,pi,0)ci(pi,0) and vi,0∈(Vi,pi,0)ei(pi,0), compute the sequences {pi,n},{qi,n},{ui,n},{vi,n} and {si,n} by the following iterative schemes with the supposition that pi,n+1∝pi,n, qi,n+1∝qi,n, ui,n+1∝ui,n, vi,n+1∝vi,n and si,n+1∝si,n, for each i∈Λ and n=0,1,2,⋯,
{si,n+1=Ai(hi(pi,n))⊕λiωi(Ni(q1,n,q2,n,⋯,qm,n)⊙Gi(ui,n)),pi,n+1=(1−αn)pi,n+αn[pi,n+hi(pi,n)−JλiBi(.,vi,n)(si,n+1)]+ri,n,qi,n+1∈(Spi,n+1)di(pi,n+1),qi,n+1⊕qi,n≤(1+1n+1)D((Si,pi,n+1)di(pi,n+1),(Si,pi,n)di(pi,n)),ui,n+1∈(Upi,n+1)ci(pi,n+1),ui,n+1⊕ui,n≤(1+1n+1)D((Ui,pi,n+1)ci(pi,n+1),(Ui,pi,n)ci(pi,n)),vi,n+1∈(Vpi,n+1)ei(pi,n+1),vi,n+1⊕vi,n≤(1+1n+1)D((Vi,pi,n+1)ei(pi,n+1),(Vi,pi,n)ei(pi,n)), | (4.13) |
where the sequences {αn} and {ri,n} are the same as in Algorithm 4.1.
Theorem 4.2. For each i∈Λ, let Ai,hi,Gi,Ni,Bi,Si,Ui,Vi,di,ci,ei be the same as in Theorem 4.1 such that all the conditions of Theorem 4.1 are satisfied. Let Qi:Hi→Hi be a γi-ordered Lipschitz continuous mapping and R=(Q1,Q2,⋯,Qm):m∏i=1Hi→m∏i=1Hi be a max{γi:i∈Λ}-ordered Lipschitz continuous mapping with respect to the norm ‖.‖∗ in m∏i=1Hi. In addition, assume that the following conditions are satisfied:
{Θi=ωi(ζi+ηiβi+ξiδVi)+θi(τiβiω⊕λiμiδUi+λiκiδSi)<ωimin{1,1νi},Θi+m∑ℓ∈Λ,ℓ≠iγℓλℓθℓωℓκℓ,iδSℓ,i<1,θi=1ϑi(αiλi⊕1)andαiλi>1for alli∈Λ. | (4.14) |
If limn→∞‖(r1,n∨(−r1,n),r2,n∨(−r2,n),⋯,rm,n∨(−rm,n))‖∗=0, then there exists p∗i,s∗i∈Hi such that q∗i∈(Si,p∗i)di(p∗i), u∗i∈(Ui,p∗i)ci(p∗i) and v∗i∈(Vi,p∗i)ei(p∗i), for each i∈Λ satisfying the extended system of fuzzy ordered resolvent equations (3.5) and so (p∗i,q∗i,u∗i,v∗i) is a common solution of the extended nonlinear system of fuzzy ordered variational inclusions (3.2) and the fixed point of Fix(Q1,Q2,⋅,Qm), and the iterative sequences {pi,n},{qi,n},{ui,n} and {vi,n} generated by Algorithm 4.1 converge strongly p∗i,q∗i,u∗i and v∗i in Fix(Q1,Q2,⋯,Qm)∩ESFOVI(Ni,Gi,Bi,hi,i=1,2,⋯,m), for each i∈Λ, respectively.
Proof. By Algorithm 4.1, Theorem 4.1, Lemmas 2.1 and 2.3, we have
‖pi,n+1⊕pi,n‖i=‖[(1−αn)pi,n+αnQi(pi,n+hi(pi,n)−JλiBi(.,vi,n)(si,n+1))+ri,n]⊕[(1−αn)pi,n−1+αnQi(pi,n−1+hi(pi,n−1)−JλiBi(.,vi,n−1)(si,n))]‖i≤(1−αn)‖pi,n⊕pi,n−1‖i+αnγi‖(pi,n+hi(pi,n))⊕(pi,n−1+hi(pi,n−1))‖i+αnγi(‖JλiBi(.,vi,n)(si,n+1)⊕JλiBi(.,vi,n)(si,n)‖i+‖JλiBi(.,vi,n)(si,n)⊕JλiBi(.,vi,n−1)(si,n)‖i)+αn‖ri,n⊕0‖i≤(1−αn)‖pi,n⊕pi,n−1‖i+αnγi‖(pi,n+hi(pi,n))⊕(pi,n−1+hi(pi,n−1))‖i+αnγiθi‖si,n+1⊕si,n‖i+αnγiξi‖vi,n⊕vi,n−1‖i+αn‖ri,n⊕0‖i. | (4.15) |
Since hi is a βi-ordered compression and a (ζi,ηi)-restricted-accerative mapping, respectively, and Vi is δVi-D-Lipschitz continuous mapping, we have
(pi,n+hi(pi,n))⊕(pi,n−1+hi(pi,n−1))≤ζi(pi,n⊕pi,n−1)+ηi(hi(pi,n)⊕hi(pi,n−1))=(ζi+ηiβi)(pi,n⊕pi,n−1), | (4.16) |
and
(vi,n⊕vi,n−1)≤(1+1n+1)δVi(pi,n⊕pi,n−1). | (4.17) |
Since hi is a βi-ordered compression mapping, Gi is a μi-ordered compression mapping, Ai is a τi-ordered compression mapping, Ui is a δi-ordered compression mapping, and Ui is a δUi-D-Lipschitz continuous mapping, we have
si,n+1⊕si,n=[Ai(hi(pi,n))⊕λiωi(Ni(q1,n,q2,n,⋯,qm,n)⊙Gi(ui,n))⊕[Ai(hi(pi,n−1))⊕λiωi(Ni(q1,n−1,q2,n−1,⋯,qm,n−1)⊙Gi(ui,n−1))]≤(τiβi⊕λiμiδUiωi(1+1n+1))(pi,n⊕pi,n−1)⊕λiωi(Ni(q1,n,q2,n,⋯,qm,n)⊕Ni(q1,n−1,q2,n−1,⋯,qm,n−1)). | (4.18) |
Since Ni is a κi-ordered comparison mapping in the ith arguments and a κij-ordered comparison mapping in the jth arguments (i≠j), and Si is an ordered δSi-Lipschitz continuous mapping.
Ni(q1,n,q2,n,⋯,qm,n)⊕Ni(q1,n−1,q2,n−1,⋯,qm,n−1)≤κiδSi(1+1n+1)(pi,n⊕pi,n−1)+∑j∈Λ,i≠jκi,jδSi,j(1+1n+1)(pj,n⊕pj,n−1). | (4.19) |
Using (4.19), (4.18) becomes
‖si,n+1⊕si,n‖i≤(τiβi⊕λiμiδUiωi(1+1n+1)+λiκiδSiωi(1+1n+1))‖pi,n⊕pi,n−1‖i+λiωi∑j∈Λ,i≠jκi,jδSi,j(1+1n+1)‖pj,n⊕pj,n−1‖i. | (4.20) |
From (4.20), (4.15) becomes
‖pi,n+1⊕p∗i,n‖i≤(1−αn)‖pi,n⊕pi,n−1‖i+αnγi(ζi+ηiβi)‖pi,n⊕pi,n−1‖i+αnγiθi(τiβi⊕λiμiδUiωi(1+1n+1)+λiκiδSiωi(1+1n+1))‖pi,n⊕pi,n−1‖i+αnλiγiθiωi∑j∈Λ,i≠jκi,jδSi,j(1+1n+1)‖pj,n⊕pj,n−1‖i+αnγiξiδVi(1+1n+1)‖pi,n⊕pi,n−1‖i+αn‖ri,n⊕0‖i≤(1−αn)‖pi,n⊕pi,n−1‖i+Θi,n‖pi,n⊕pi,n−1‖i+αnλiγiθiωi∑j∈Λ,i≠jκi,jδSi,j(1+1n+1)‖pj,n⊕pj,n−1‖i+αn‖ri,n⊕0‖i, | (4.21) |
where Θi,n=[γi(ζi+ηiβi)+γiθi(τiβi⊕λiμiδUiωi(1+1n+1)+λiκiδSiωi(1+1n+1))+γiξiδVi(1+1n+1)].
Using (4.21), we have
‖(p1,n+1,p2,n+1,⋯,pm,n+1)⊕(p1,n,p2,n,⋯,pm,n)‖∗=m∑i=1‖pi,n+1⊕pi,n‖i≤m∑i=1[(1−αn)‖pi,n⊕pi,n−1‖i+αnΘi,n‖pi,n⊕pi,n−1‖i+αnγiλiθiωi∑j∈Λ,i≠jκi,jδSi,j(1+1n+1)‖pj,n⊕pj,n−1‖j+‖ri,n⊕0‖i]≤(1−αn)‖(p1,n,p2,n,⋯,pm,n)⊕(p1,n−1,p2,n−1,⋯,pm,n−1)‖∗+αnmax1≤i≤m{Θi,n+(1+1n+1)m∑ℓ∈Λ,ℓ≠iγℓλℓθℓωℓκℓ,iδSℓ,i:i∈Λ}m∑i=1‖pi,n⊕pi,n−1‖i+‖(r1,n∨(−r1,n),r2,n∨(−r2,n),⋯,rm,n∨(−rm,n))‖∗, |
i.e.,
‖(p1,n+1,p2,n+1,⋯,pm,n+1)⊕(p1,n,p2,n,⋯,pm,n)‖∗≤[1−αn(1−Ωi,n)]‖(p1,n+1,p2,n+1,⋯,pm,n+1)⊕(p1,n,p2,n,⋯,pm,n)‖∗+‖(r1,n∨(−r1,n),r2,n∨(−r2,n),⋯,rm,n∨(−rm,n))‖∗, | (4.22) |
where Ωi,n=max1≤i≤m{Θi,n+(1+1n+1)m∑ℓ∈Λ,ℓ≠iγℓλℓθℓωℓκℓ,iδSℓ,i:i∈Λ}.
Letting
Ω=max1≤i≤m{Θi+m∑ℓ∈Λ,ℓ≠iνℓλℓθℓωℓκℓ,iδSℓ,i:i∈Λ} |
and
Θi=[γi(ζi+ηiβi+ξiδVi)+γiθi(τiβi⊕λiμiδUiωi+λiκiδSiωi)]. |
By condition (4.2), we have 0≤Ω<1, thus {(p1,n,p2,n,⋯,pm,n)} is a Cauchy sequence in m∏i=1Hi and as m∏i=1Hi is complete, there exists (p∗1,p∗2,⋯,p∗m)∈m∏i=1Hi such that (p1,n,p2,n,⋯,pm,n)→(p∗1,p∗2,⋯,p∗m) as n→∞. Additionally, for each i∈Λ, pi,n→p∗i as n→∞. From (4.12) of Algorithm 4.1 and D-Lipschitz continuity of Si, Ui and Vi, we have
qi,n+1⊕qi,n≤(1+1n+1)δDSi(pi,n+1⊕pi,n), | (4.23) |
ui,n+1⊕ui,n≤(1+1n+1)δDUi(pi,n+1⊕pi,n), | (4.24) |
vi,n+1⊕vi,n≤(1+1n+1)δDVi(pi,n+1⊕pi,n). | (4.25) |
It is clear from (4.23)–(4.25) that {qi,n}, {ui,n} and {vi,n} are also Cauchy sequences in Hi, so there exist q∗i, u∗i and v∗i in Hi such that qi,n→q∗i, ui,n→u∗i and vi,n→v∗i as n→∞, for each i∈Λ. Additionally, for each i∈Λ, by using the continuity of the operators hi,Si, Ui, Vi, JλB(.,v∗i) and Algorithm 4.1, we have
p∗i=Qi[p∗i+hi(p∗i)−JλiBi(.,v∗i)[Ai(hi(p∗i))⊕λiωi(Ni(q∗1,q∗2,⋯,q∗m)⊙Gi(u∗i))]]=p∗i+hi(p∗i)−JλiBi(.,v∗i)[Ai(hi(p∗i))⊕λiωi(Ni(q∗1,q∗2,⋯,q∗m)⊙Gi(u∗i))], |
which implies that
hi(p∗i)=JλiBi(.,v∗i)[Ai(hi(p∗i))⊕λiωi(Ni(q∗1,q∗2,⋯,q∗m)⊙Gi(u∗i))]. |
By Lemma 3.1, we conclude that (p∗1,p∗2,⋯,p∗m) is a solution of problem (3.2). It remains to show that q∗i∈(Si,p∗i)di(p∗i), u∗i∈(Ui,p∗i)ci(p∗i) and v∗i∈(Vi,p∗I)ei(p∗i). Using Lemma 2.1, in fact,
di(q∗i,(Si,p∗i)di(p∗i))≤‖q∗i⊕qi,n‖i+di(qi,n,(Si,p∗i)di(p∗i))≤‖q∗i⊕qi,n‖i+Di((Si,pi,n)di(pi,n),(Si,p∗i)di(p∗i))≤‖qi,n⊕q∗i‖i+δDSi‖pi,n⊕p∗i‖i→0,asn→∞. |
Hence q∗i∈(Si,p∗i)di(p∗i). Similarly, we can show that u∗i∈(Ui,p∗i)ci(p∗i) and v∗i∈(Vi,p∗i)ei(p∗i), for each i∈Λ. This completes the proof.
Taking Qi=I(identity mapping), for each i∈Λ in Algorithm 4.1, we can also prove the existence and convergence result for the extended nonlinear system of fuzzy ordered variational inclusions involving the ⊕ operation (3.1) and the extended nonlinear system of fuzzy ordered resolvent equations problem (3.5).
Corollary 4.1. For each i∈Λ={1,2,3,⋯,m}, let Hi be a real Banach space equipped with the norm ‖.‖i and Ki be a normal cone with normal constant νi. Let Si,Ui,Vi:Hi→Fi(Hi) be closed fuzzy mappings that satisfies the following condition (∗), with functions di,ci,ei:Hi→[0,1] such that for each pi∈Hi, we have (Si,pi)di(pi),(Ui,pi)ci(pi) and (Vi,pi)ei(pi) in CB(Hi), respectively. Let Ai,hi,Gi:Hi→Hi and Ni:m∏j=1Hj→Hi be nonlinear single-valued mappings. Let Bi:Hi×Hi→2Hi be an ordered (αi,λi)-XOR-weak-ANODD set-valued mapping with respect to the first argument. Suppose that the following conditions hold:
(i) hi is continuous, βi-oredered compression and (ζi,ηi)-ordered restricted-accretive mapping, βi∈(0,1) and ζi,ηi∈(0,1], respectively;
(ii) Ai is continuous and τi-oredered compression mapping, τi∈(0,1);
(iii) Gi is continuous, ϑi-order non-extended mapping and μi-oredered compression mapping, μi∈(0,1) and ϑi>0, respectively;
(iv) Ni is continuous, κi-ordered compression mapping in the ith-argument and κi,j-ordered compression mapping in the jth-argument for each j∈Λ,i≠j, respectively;
(v) Si, Ui and Vi are ordered Lipschitz type continuous mapping with constants δSi, δUi and δVi, respectively.
In addition, the following conditions hold:
(a)JλiBi(.,xi)(pi)⊕JλiBi(.,yi)(pi)≤ξi(xi⊕yi),for allpi,xi,yi∈Hi,ξi>0, | (4.26) |
(b){Θi=ωi(ζi+ηiβi+ξiδVi)+θi(τiβiωi⊕λiμiδUi+λiκiδSi)<ωi,Θi+m∑ℓ∈Λ,ℓ≠iλℓθℓωℓκℓ,iδSℓ,i<1,θi=1ϑi(αiλi⊕1)andαiλi>1,for alli∈Λ. | (4.27) |
If limn→∞‖(r1,n∨(−r1,n),r2,n∨(−r2,n),⋯,rm,n∨(−rm,n))‖∗=0, then there exists p∗i,s∗i∈Hi such that q∗i∈(Si,p∗i)di(p∗i), u∗i∈(Ui,p∗i)ci(p∗i) and v∗i∈(Vi,p∗i)ei(p∗i), for each i∈Λ that satisfies the extended system of fuzzy ordered resolvent equations (3.5) and so (p∗i,q∗i,u∗i,v∗i) is a solution of the extended system of fuzzy ordered variational inclusions (3.2), and the iterative sequences {pi,n},{qi,n},{ui,n}, and {vi,n} generated by Algorithm 4.2 converge strongly p∗i,q∗i,u∗i and v∗i in ESFOVI(Ni,Gi,Bi,hi,i=1,2,⋯,m), for each i∈Λ, respectively.
Taking Gi=I(identity mapping), for each i∈Λ in Algorithm 4.1, we can also prove the existence and convergence results for the extended nonlinear system of fuzzy ordered variational inclusions involving the ⊕ operation (3.1) and the extended nonlinear system of fuzzy ordered resolvent equations problem (3.5).
Corollary 4.2. For each i∈Λ={1,2,3,⋯,m}, let Hi be a real Banach space equipped with the norm ‖.‖i and Ki be a normal cone with normal constant νi. Let Si,Ui,Vi:Hi→Fi(Hi) be closed fuzzy mappings satisfying the following condition (∗), with functions di,ci,ei:Hi→[0,1] such that for each pi∈Hi, we have (Si,pi)di(pi),(Ui,pi)ci(pi) and (Vi,pi)ei(pi) in CB(Hi), respectively. Let Ai,hi:Hi→Hi and Ni:m∏j=1Hj→Hi be the nonlinear single-valued mappings. Let Qi:Hi→Hi be a γi-ordered Lipschitz continuous mapping and R=(Q1,Q2,⋯,Qm):m∏i=1Hi→m∏i=1Hi be a max{γi:i∈Λ}-ordered Lipschitz continuous mapping with respect to the norm ‖.‖∗ in m∏i=1Hi. Let Bi:Hi×Hi→2Hi be a ordered (αi,λi)-XOR-weak-ANODD set-valued mapping with respect to the first argument. Suppose that the following conditions hold:
(i) hi is continuous, βi-oredered compression and (ζi,ηi)-ordered restricted-accretive mapping, βi∈(0,1) and ζi,ηi∈(0,1], respectively;
(ii) Ai is continuous and τi-oredered compression mapping, τi∈(0,1);
(iii) Ni is continuous, κi-ordered compression mapping in the ith-argument and κi,j-ordered compression mapping in the jth-argument for each j∈Λ,i≠j, respectively;
(iv) Si, Ui and Vi are ordered Lipschitz type continuous mapping with constants δSi, δUi and δVi, respectively.
In addition, the following conditions hold:
(a)JλiBi(.,xi)(pi)⊕JλiBi(.,yi)(pi)≤ξi(xi⊕yi),for allpi,xi,yi∈Hi,ξi>0, | (4.28) |
(b){Θi=ωi(ζi+ηiβi+ξiδVi)+θi(τiβiωi⊕λiδUi+λiκiδSi)<ωimin{1,1νi},Θi+m∑ℓ∈Λ,ℓ≠iλℓθℓωℓκℓ,iδSℓ,i<1,θi=1ϑi(αiλi⊕1)andαiλi>1,for alli∈Λ. | (4.29) |
If limn→∞‖(r1,n∨(−r1,n),r2,n∨(−r2,n),⋯,rm,n∨(−rm,n))‖∗=0, then there exists p∗i,s∗i∈Hi such that q∗i∈(Si,p∗i)di(p∗i), u∗i∈(Ui,p∗i)ci(p∗i) and v∗i∈(Vi,p∗i)ei(p∗i), for each i∈Λ satisfying the extended nonlinear system of fuzzy ordered resolvent equation (3.5) and so (p∗i,q∗i,u∗i,v∗i) is a common solution of the extended nonlinear system of fuzzy ordered variational inclusions (3.2) and the fixed point of Fix(Q1,Q2,⋅,Qm), and the iterative sequences {pi,n},{qi,n},{ui,n} and {vi,n} generated by Algorithm 4.1 converge strongly p∗i,q∗i,u∗i and v∗i in Fix(Q1,Q2,⋅,Qm)∩ENSFOVI(Ni,Gi,Bi,hi,i=1,2,⋯,m), for each i∈Λ, respectively.
Taking αn=1,for alln∈N in Algorithm 4.1, we can also prove the existence and convergence result for the extended nonlinear system of fuzzy ordered variational inclusions involving the ⊕ operation (3.1) and the extended nonlinear system of fuzzy ordered resolvent equations problem (3.5).
Corollary 4.3. For each i∈Λ={1,2,3,⋯,m}, let Hi be a real Banach space equipped with the norm ‖.‖i and Ki be a normal cone with normal constant νi. Let Si,Ui,Vi:Hi→Fi(Hi) be closed fuzzy mappings satisfying the following condition (∗), with functions di,ci,ei:Hi→[0,1] such that for each pi∈Hi, we have (Si,pi)di(pi),(Ui,pi)ci(pi) and (Vi,pi)ei(pi) in CB(Hi), respectively. Let Ai,hi,Gi:Hi→Hi and Ni:m∏j=1Hj→Hi be the nonlinear single-valued mappings. Let Bi:Hi×Hi→2Hi be a ordered (αi,λi)-XOR-weak-ANODD set-valued mapping with respect to the first argument. Suppose that the following conditions hold:
(i) hi is continuous, βi-oredered compression and (ζi,ηi)-ordered restricted-accretive mapping, βi∈(0,1) and ζi,ηi∈(0,1], respectively;
(ii) Ai is continuous and τi-oredered compression mapping, τi∈(0,1);
(iii) Gi is continuous, ϑi-order non-extended mapping and μi-oredered compression mapping, μi∈(0,1) and ϑi>0, respectively;
(iv) Ni is continuous, κi-ordered compression mapping in the ith-argument and κi,j-ordered compression mapping in the jth-argument for each j∈Λ,i≠j, respectively;
(v) Si, Ui and Vi are ordered Lipschitz type continuous mapping with constants δSi, δUi and δVi, respectively.
In addition, the following conditions hold:
(a)JλiBi(.,xi)(pi)⊕JλiBi(.,yi)(pi)≤ξi(xi⊕yi),for allpi,xi,yi∈Hi,ξi>0, | (4.30) |
(b){Θi=(ζi+ηiβi+ξiδVi)+θi(τiβi⊕λiμiδUi+λiκiδSi)<1,Θi+m∑ℓ∈Λ,ℓ≠iλℓθℓωℓκℓ,iδSℓ,i<1,θi=1ϑi(αiλi⊕1)andαiλi>1,for alli∈Λ. | (4.31) |
If limn→∞‖(r1,n∨(−r1,n),r2,n∨(−r2,n),⋯,rm,n∨(−rm,n))‖∗=0, then there exists p∗i,s∗i∈Hi such that q∗i∈(Si,p∗i)di(p∗i), u∗i∈(Ui,p∗i)ci(p∗i) and v∗i∈(Vi,p∗i)ei(p∗i), for each i∈Λ satisfying the extended nonlinear system of fuzzy ordered resolvent equation (3.5) and so (p∗i,q∗i,u∗i,v∗i) is a common solution of the extended nonlinear system of fuzzy ordered variational inclusions (3.2) and the fixed point of Fix(Q1,Q2,⋅,Qm) and the iterative sequences {pi,n},{qi,n},{ui,n} and {vi,n} generated by Algorithm 4.1 converge strongly p∗i,q∗i,u∗i and v∗i in Fix(Q1,Q2,⋯,Qm)∩ENSFOVI(Ni,Gi,Bi,hi,i=1,2,⋯,m), for each i∈Λ, respectively.
The following numerical example gives the guarantee that all the proposed conditions of Theorems 4.1 and 4.2 are satisfied.
Example 4.1. For each i∈Λ={1,2,3,⋯,m}, and let Hi=R, with the usual inner product and norm and Ki={pi∈Hi:0≤pi≤1} be a normal cone with normal constant δi=1i. Let Si,Ui,Vi and di,ci,ei be defined the same as in Example 3.1. Let hi,Ai,Gi,Qi:Hi→Hi, and Ni:m∏j=1Hj→Hi be the mappings defined by for all pi∈Hi and j∈Λ,
hi(pi)=pi13i,Ai(pi)=pi3i,Gi(pi)=pi7i,Qi(pi)=pi2iandTi(p1,p2,⋯,pj,⋯,pm)=xj30ij. |
It is easy to verify that hi is a 110i-ordered compression and an (111i,1)-ordered restricted-accretive mapping, Gi is 19i-ordered compression and 15i-ordered non-extended mapping, and Ai is 12i-ordered compression mapping. Further,
Ni(p1,p2,⋯,pj−1,pj,pj+1,⋯,pm)⊕Ni(p1,p2,⋯,pi−1,ˆpi,pi+1,⋯,pm)=pi30i2⊕ˆpi30i2≤130i(pi⊕ˆpi). |
Hence, Ni is a 130i-ordered compression mapping in the ith argument.
Ni(p1,p2,⋯,pm)⊕Ni(ˆp1,ˆp2,⋯,ˆpm)≤Ni(p1,p2,⋯,pi−1,pi,pi+1,⋯,pm)⊕Ni(p1,p2,⋯,pi−1,ˆpi,pi+1,⋯,pm)+∑j∈Λ,i≠j(Ni(p1,p2,⋯,pj−1,pj,pj+1,⋯,pm)⊕Ni(p1,p2,⋯,pj−1,ˆpj,pj+1,⋯,pm))=130i2(pi⊕ˆpi)+∑j∈Λ,i≠j130ij(pj⊕ˆpj)≤130i(pi⊕ˆpi)+∑j∈Λ,i≠j130ij(pj⊕ˆpj). |
Suppose that the mappings Bi:Hi×Hi→2Hi are defined by
Bi(hi(pi),pi)={13i3hi(pi)+4i2pi}={5i2pi},∀pi∈Hi. |
It is easy to verify that Bi is a 2i2-ordered rectangular compression mapping and a 1i-weak-ordered different comparison mapping. Additionally, it is clear that for λi=1i, [Gi⊕λiBi](Hi)=Hi, for each i∈Λ. Hence, Bi is an ordered (2i2,1i)-XOR-weak ANODD set-valued mapping.
The resolvent operator defined by (2.1) associated with Bi is given by
RλiBi(.,vi)(pi)=7i1⊕35i2pi,∀pi∈Hi, | (4.32) |
It is easy to examine that the resolvent operator defined above is a comparison, a single-valued mapping, and RλiBi(.,vi) is 55i211i−1-ordered Lipschitz continuous.
For each i∈Λ, in particular ωi=2i and we define ϕi:m∏j=1Hj→Hi by
ϕi(p1,p2,⋯,pm)=pi+hi(pi)−JλiBi(.,vi)[Ai(hi(pi))⊕λiωi(Ni(q1,q2,⋯,qm)⊙Gi(ui))]=(13i+113i−7i35i2−1((60i2−7i)420i5−139i2))pi. |
It also confirms that assumptions (4.2) and (4.14) are fulfilled, where βi=110i,ζi=111i,ηi=1, τi=12i,μi=19i, ϑi=15i,ξi=1,κi=130i,κij=130ij,αi=2i2, λi=1i,ωi=2i, δSi=14i,δUi=12i,δVi=16i and θi=55i211i−1. Therefore, all the conditions of Theorems 4.1 and 4.2 are satisfied. Therefore, (0,0,⋯,0) is a fixed point of the mapping ψ(.,.,⋯,.)=(ϕ1(.),ϕ2(.),⋯,ϕp(.)) defined by (4.5) as well as the fixed point of R=(Q1,Q2,⋅,Qm). By Lemma 3.1, (0,0,⋯,0) is a common solution of the extended nonlinear system of fuzzy ordered variational inclusions (3.2) and the fixed point of R=(Q1,Q2,⋅,Qm).
In the draft, we had discussed an extended system of fuzzy ordered variational inclusions and its corresponding extended system of fuzzy ordered resolvent equations with very suitable binary structures in an ordered Banach space. We had looked upon the existence of the solution of an extended system of fuzzy ordered variational inclusions and its corresponding extended system of fuzzy ordered resolvent equations. On the basis of fixed point formulation, we formulated iterative schemes for the said system of problems corresponding the resolvent equations involving special binary operations and the fixed point problem. Furthermore, we discussed the existence of common solution and discuss the convergence of the sequence of iterates generated by the algorithm for a considered problems. At the end, we discussed some consequences of our main results. Notice that the benefits of such systems on future research may work upon the forward-backward splitting method based on the inertial technique for solving ordered inclusion problems and also develop some better versions of the algorithms for solving the ordered inclusion problems in real ordered product Banach spaces with XOR and XNOR operations.
The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.
Researchers would like to thank the Deanship of Scientific Research, Qassim University for funding publication of this project.
The authors declare that they have no conflicts of interest.
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