In this paper, some generalized fixed point results of Banach and ˊCiriˊc type in the context of extended fuzzy b-metric spaces are established. For authenticity of the aforesaid results a nontrivial supporting example is also provided. Eventually, an application for the existence of a solution for an integral equation is established which shows corporeality of the obtained results. The presented work generalizes some well known fixed point results from the existing literature.
Citation: Badshah-e-Rome, Muhammad Sarwar, Kamal Shah, Bahaaeldin Abdalla, Thabet Abdeljawad. Some generalized fixed point results of Banach and ˊCiriˊC type in extended fuzzy b-metric spaces with applications[J]. AIMS Mathematics, 2022, 7(8): 14029-14050. doi: 10.3934/math.2022774
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In this paper, some generalized fixed point results of Banach and ˊCiriˊc type in the context of extended fuzzy b-metric spaces are established. For authenticity of the aforesaid results a nontrivial supporting example is also provided. Eventually, an application for the existence of a solution for an integral equation is established which shows corporeality of the obtained results. The presented work generalizes some well known fixed point results from the existing literature.
Zadeh [50] presented the concept of a fuzzy set and fuzzy logic. Unlike classical logic, which states whether an element belongs to a set or not, fuzzy logic expresses the bonding of an element to a set as a positive real value in unit interval [0, 1]. With the introduction of fuzzy logic, fuzzy mathematics began to evolve. If the distance between points is not exact real number, then the factor of inaccuracy is incorporated in the metric, a distance measuring function. Kramosil and Michalek [24] generalized probabilistic metric space by introducing the concept of fuzzy metric space. Kramosil's notion of fuzzy metric was improved by George and Veeramani [11,12], who defined Hausdorff topology on fuzzy metric space, which could not be defined on the Kramosil's fuzzy metric space.
One of the several spaces in which the theory of fixed point has been investigated is fuzzy metric space. The Banach's contraction principle is one of the most useful and important theorems in classical functional analysis. Its utility is not only to prove that, a contraction in a complete metric space has unique fixed point, but also to show that the Picard iteration converges to the fixed point. This powerful result in fuzzy metric space was first generalized by M. Grabiec [17].
Theorem 1.1. ([17] fuzzy Banach contraction theorem)Let (S,M,∗) be a complete fuzzy metric space and f:S→S be a mapping such that
M(fr,fz,ξ)≥M(r,z,ξδ) ∀r,z∈S,ξ>0, | (1.1) |
where δ∈(0,1).Then f has unique fixed point.
Subsequently, many researchers investigated fixed point theory in fuzzy metric space, for example, [8,9,13,15,17,18,28,36,37,38,39,40,48,49].
There are several metric space extensions, in addition to fuzzy metric space. With the goal of generalizing the Banach contraction principle [4], Bakhtin [3] presented b-metric space where the condition of triangular inequality is weakened. We recommend [1,7,25,29,32,45,46,47] for more detail. Hassanzadeh [22] considered relationship between b-metric and fuzzy metric space. Nˇadˇaban [33] introduced fuzzy b-metric space to generalise b-metric space. Mehmood et al. [27] presented the notion of extended fuzzy b-metric to generalize fuzzy b-metric. Rome et al. [43] generalized extended fuzzy b-metric by introducing μ-extended fuzzy b-metric space.
Many researchers have made attempts to relax the essential condition of continuity contraction in Banach contraction principle see for example [23,42].
One of the most well-known results in generalizations of Banach's contraction principle where the Picard iteration still converges to the fixed point of map is the ˊCiriˊc's fixed point theorem [6]. A self mapping f on a metric space (S,d) is said to be quasi-contraction iff there exists δ∈(0,1) such that for all r,z∈S
d(fr,fz)≤δmax{d(r,z),d(r,fr),d(z,fz),d(r,fz),d(fz,r)}. |
According to ˊCiriˊc's fixed point theorem, every quasi-contraction on T-orbitally complete metric space has unique fixed point. D. Rakiˊc et al. [35] generalized ˊCiriˊc's fixed point theorem in the setting of fuzzy b-metric space.
The aim of this paper is to generalize Banach and ˊCiriˊc's fixed point results in the context of extended fuzzy b-metric space (EFbMS for short). We prove a very useful lemma, which can be used in extended fuzzy b-metric to verify Cauchyness of a sequence. Finally, we investigate the applicability of the obtained results to integral equations. A nontrivial example is provided to confirm authenticity of our results.
In this section some terms and definitions are provided which will be used in the main work of this manuscript. Throughout this paper the symbol N will stand for positive integers and the real numbers will be represented by R, whereas S will signify an arbitrary non-empty set.
Definition 2.1. [26] A binary operation ∗:[0,1]2→[0,1] is called continuous t-norm, if the following conditions hold:
(01) ∗ is commutative and associative,
(02) ∗ is continuous,
(03) ∗(w,1)=w, ∀w∈[0,1],
(04) ∗(w1,w2)≤∗(w3,w4) whenever w1≤w3 and w2≤w4,∀w1,w2,w3,w4∈[0,1].
Some frequently used example of continuous t-norm are w1∗Lw2=max{w1+w2−1,0}, w1∗Pw2=w1w2, and w1∗Mw2=min{w1,w2}. These are respectively called Lukasievicz t-norm, product t-norm and minimum t-norm.
Definition 2.2. [19] Let ∗ be a t-norm and define ∗n:[0,1]×[0,1]→[0,1], as:
∗1(r)=∗(r,r), ∗n+1(r)=∗(∗n(r),r), ∀n∈N,r∈[0,1]. |
Then the t-norm ∗ is said to be Hadˇziˊc-type (H-type for short) if the family {∗n(r)}n∈N is equicontinuous at r = 1, that is, for every β∈(0,1), there exists γ∈(0,1) such that r∈(1−γ,1] implies that ∗nx>1−β, for all n∈N. ∗min is a trivial example of t-norm of H-type. From associativity of t-norm it follows that each t-norm ∗ can be extended in a unique manner to an n-array operation that takes for (r1,...,rn)∈[0,1]n the values
∗1i=1ri=r1, ∗ni=1ri=∗(∗n−1i=1(ri,rn))=∗(r1,r2,...,rn). |
Example 2.1. The n-array extensions of t-norms ∗M,∗L, and ∗P, are as follows:
∗M(r1,...,rn)=min(r1,...,rn),
∗L(r1,...,rn)=max(∑ni=1ri−(n−1),0),
∗P(r1,...,rn)=Πni=1ri.
Klement et al. [26] extended t-norm ∗ to a countable infinite operation for any (rn)n∈N in [0,1], where
∗∞i=1ri=limn→∞∗ni=1ri. |
The sequence (∗ni=1ri)n∈N being bounded from below and non increasing, is convergent. In the theory of fixed point [20,21], interesting families of t-norms ∗ and sequences (rn) from [0,1] are those which possess the properties limn→∞rn=1 and
limn→∞∗∞i=nri=limn→∞∗∞i=1rn+i=1. |
The following lemma generates a large number of t-norms of H-type.
Lemma 2.1. [41]Let ∗ be a t-norm and ϵ∈(0,1]. If
r∗ϵy={r∗y;ifmax(r,y)≤1−ϵ,min(r,y);ifmax(r,y)>1−ϵ. |
Then ∗ϵ is a t-norm of H-type.
Proposition 2.1. [35]Let (rn)n∈N in [0,1] be such that limn→∞rn=1 and let ∗ of H-type. Then
limn→∞∗∞i=nri=limn→∞∗∞i=1rn+i=1 |
Definition 2.3. [11] (S,M,∗) is called a fuzzy metric space, where ∗ is a continuous t-norm, and M is a fuzzy set on S2×(0,∞) if for all r,z,ω∈S and ξ,ζ>0:
(FM1) M(r,z,ξ)>0,
(FM2) M(r,z,ξ)=1⇔r=z,
(FM3) M(r,z,ξ)=M(z,r,ξ),
(FM4) ∗(M(r,z,ξ),M(z,ω,ζ))≤M(r,ω,ξ+ζ),
(FM5) M(r,z,⋅):(0,∞)→[0,1] is continuous.
Definition 2.4. [33] For a continuous t-norm ∗ and and a fuzzy set M on S2×(0,∞), (S,M,∗) is called a fuzzy b-metric, if for all r,z,ω∈S,ξ,ζ>0 and a given real numbers b≥1:
(FbM1) M(r,z,ξ)>0,
(FbM2) M(r,z,ξ)=1⇔r=z,
(FbM3) M(r,z,ξ)=M(z,r,ξ),
(FbM4) ∗(M(r,z,ξb),M(z,ω,ζb))≤M(r,ω,ξ+ζ),
(FbM5) M(r,z,⋅):(0,∞)→[0,1] is continuous.
When b = 1, fuzzy b-metric reduces to fuzzy metric. The following example demonstrates that the family of fuzzy b-metric is is effectively broader than that of fuzzy metric.
Example 2.2. [8] Let M(r,z,ξ)=e−|r−z|qξ, where q>1 is a real number. Obviously M is a fuzzy b-metric with b=2q−1.
Notice that for q=2 in the above example, it can be verified that (S,M,∗) is not a fuzzy metric space.
Example 2.3. [8] Let (d,S) be b-metric space and M(r,z,ξ)=ξξ+d(r,z). Then it can be verified that (S,M,∗m) is fuzzy b-metric space.
Definition 2.5. [8] A function f:R→R is said to be b-nondecreasing if f(r)≥f(z) whenever r>bz for all r,z∈R.
Lemma 2.2. [8] Let M(r,z,⋅) be a fuzzy b-metric. Then M(r,z,ξ) is b-nondecreasing w.r.t. ξ and for all r,z∈S.
Remark 2.1. A fuzzy b-metric space is not continuous in general.
Definition 2.6. [27] The 4-tuple (S,M,∗,Ω) is called EFbMS with function Ω:S×S→[1,∞), where ∗ is continuous t-norm and M:S×S→[0,∞) is fuzzy set such that for all r,z,ω∈S, the following conditions are satisfied:
(EΩ1) MΩ(r,z,0)=0;
(EΩ2) MΩ(r,z,ξ)=1,∀ξ>0⇔r=z;
(EΩ3) MΩ(r,z,ξ)=MΩ(z,r,ξ);
(EΩ4) MΩ(r,ω,Ω(r,ω)(ξ+ζ)≥MΩ(r,z,ξ)∗MΩ(z,ω,ζ), for all ζ,ξ>0;
(EΩ5) MΩ(r,z,.):(0,∞)→[0,1] is continuous and limt→∞MΩ(r,z,ξ)=1.
Example 2.4. [27] Let S={1,2,3} and define db:S×S→R by d(r,z)=|r−z|2. Then it is simple to demonstrate that (S,db) is a b-metric space. Define the mapping
Ω:S×S→[1,∞), Ω(r,z)=1+r+z. |
Let MΩ:S×S×[0,∞)→[0,1] be given by the rule:
MΩ(r,z,ξ)={ξξ+db(r,z), ifξ>0,0, ifξ=0, |
and take the continuous t-norm ∗M, that is, ξ1∗ξ2=ξ1∗Mξ2=min{ξ1,ξ2}.
Then (S,MΩ,∗,Ω) is an EFbMS.
Remark 2.2. It is worth mentioning that fuzzy b-metric is special type of extended fuzzy b-metric when Ω(r,z)=b≥1.
Definition 2.7. [5,11,27] Let (S,MΩ,∗,Ω) be an EFbMS. A sequence {rn}:
(a) converges to r if n→∞ then MΩ(rn,r,ξ)→1 for each ξ>0. In this case, we write limn→∞rn=r.
(b) is called M-Cauchy if for each ϵ∈(0,1) and ξ>0 there exists n0∈N such that MΩ(rm,rn,ξ)>1−ϵ, for all m,n≥n0. limn→∞MΩ(rn+m,rn,ξ)=1, for all ξ>0 and each m,n∈ N.
(c) is called G-Cauchy if limn→∞MΩ(rn+m,rn,ξ)=1, for all ξ>0 and each m,n∈ N.
Definition 2.8. [27] An EFbMS, is said to be M-complete(G-complete), provided every M-Cauchy (G-Cauchy) sequence converges in it.
For more details on fuzzy topology, we refer the reader to [5].
Stimulated and inspired by the concept presented in [35,43], we present several new fixed point results in EFbMS. From now onward, Ω:S×S→[1,∞) will represent a bounded function. First we prove the following lemmas, which will be used in our main work.
Lemma 3.1. Let (S,MΩ,∗,Ω) be an EFbMS by Ω:S×S→[1,∞) and {rn} is a sequence in it. Assume that for δ∈(0,1κ) and n∈N
MΩ(rn,rn+1,ξ)≥MΩ(rn−1,rn,ξδ),ξ>0, | (3.1) |
with κ=lim supm,n→∞ Ω(rn,rm) and
limn→∞∗∞i=nMΩ(r0,r1,ξvi)=1,t>0. | (3.2) |
where r0,r1∈S and v∈(0,1). Then {rn} is Cauchy sequence.
Proof. Clearly ∑∞i=1ϱi converges for ϱ∈(δκ,1)⊂(0,1) and therefore there exists n0∈N such that ∑∞i=nϱi<1 for every n>n0. Due to MΩ being b-nondecreasing and by property (EΩ4), for all ξ>0 and n>m>n0, we get the following
MΩ(rn,rn+m,ξ)≥MΩ(rn,rn+m,ξ∑n+m+1i=nϱiκ)≥∗(MΩ(rn,rn+1,ξϱnκΩ(rn+rn+m)),MΩ(rn+1,rn+m,ξ∑n+m−1i=n+1ϱiκΩ(rn,rn+m)))≥∗(MΩ(rn,rn+1,ξϱnκΩ(rn+rn+m)),∗(MΩ(rn+1,rn+2,ξϱn+1κΩ(rn,rn+m)Ω(rn+1,rn+m)),∗(MΩ(rn+2,rn+3,ξϱn+2κΩ(rn,rn+m)Ω(rn+1,rn+m)Ω(rn+2,rn+m))…,MΩ(rn+m−1,rn+m,ξϱn+m−1κΩ(rn,rn+m)Ω(rn+1,rn+m)Ω(rn+2,rn+m)Ω(rn+3,rn+m))…)). |
By (3.1), it turns out that
MΩ(rn,n+1,ξ)≥MΩ(r0,r1,ξδn),∀n∈N,ξ>0, |
and since κ≥1 and n>m, we have
MΩ(rn,rn+m,ξ)≥∗(MΩ(ro,r1,ξϱnκΩ(rn+rn+m)δn),∗(MΩ(r0,r1ξϱn+1κΩ(rn,rn+m)Ω(rn+1,rn+m)δn+1),∗(MΩ(r0,r1ξϱn+2κΩ(rn,rn+m)Ω(rn+1,rn+m)Ω(rn+2,rn+m)δn+2)…))MΩ(r0,r1,ξϱn+m−1κΩ(rn,rn+m)Ω(rn+1,rn+m)Ω(rn+2,rn+m)Ω(rn+3,rn+m)δn+m−1…))=∗∞i=nMΩ(r0,r1,ξϱiκ∏ij=nΩ(rj,rn+m)δi)≥∗∞i=nMΩ(r0,r1,ξϱiκ(i+2−n)δi)≥∗∞i=nMΩ(r0,r1,ξϱiκiδi)≥∗∞i=nMΩ(r0,r1,ξvi) |
where v=κδϱ. Since v∈(0,1), by (3.2) it follows that {rn} is Cauchy sequence.
Corollary 3.1. Let {rn} is a sequence in EFbMS (S,MΩ,∗,Ω) with Ω:S×S→[1,∞) and let ∗ is of H-type. If there is δ∈(0,1κ), where κ=lim supm,n→∞ Ω(rn,rm) and
MΩ(rn,rn+1,ξ)≥MΩ(rn−1,rn,ξδ),∀n∈N,ξ>0, | (3.3) |
then {rn} is Cauchy sequence.
Lemma 3.2. If for some δ∈(0,1) and r,z∈S,
MΩ(r,z,ξ)≥MΩ(r,z,ξδ),ξ>0 | (3.4) |
then r=z.
Proof. Condition (3.4) implies that
MΩ(r,z,ξ)≥MΩ(r,z,ξδn),∀n∈N,ξ>0. |
Now
MΩ(r,z,ξ)≥limn→∞MΩ(r,z,ξδn)=1,ξ>0, |
and (EΩ2) implies that r=z.
Theorem 3.1. Let (S,MΩ,∗,Ω) be a complete EFbMS and let f:S→S. Assume that there exist δ∈(0,1κ), with κ=lim supm,n→∞ Ω(rn,rm) such that
MΩ(fr,fz,ξ)≥MΩ(r,z,ξδ) ∀r,z∈S,ξ>0, | (3.5) |
and there are r0∈S and v∈(0,1) such that
limn→∞∗∞i=nMΩ(r0,fr0,ξvi)=1,ξ>0. | (3.6) |
Where {rn}⊂S, is defined by rn+1=frn, n∈N∪{0}.Then f has unique fixed point.
Proof. Putting r=rn−1 and z=rn in (3.8), we have
MΩ(rn,rn+1,ξ)≥MΩ(rn−1,rn,ξδ),∀ n∈N,ξ>0, |
it follows that rn is a Cauchy sequence by Lemma 3.1. Since (S,MΩ,∗,Ω) is complete, there exist r∈S such that limn→∞rn=r and therefore
limn→∞MΩ(r,rn,ξ)=1, ξ>0. | (3.7) |
Using (3.8) and (EΩ4), it follows that
MΩ(fr,r,ξ)≥∗(MΩ(fr,rn,ξ2Ω(fr,r)),MΩ(rn,r,ξ2Ω(fr,r)))≥∗(MΩ(r,rn−1,ξ2Ω(fr,r)δ),MΩ(rn,r,ξ2Ω(fr,r))). |
If n→∞, by (3.7), we have
MΩ(fr,r,ξ)≥∗(1,1)=1. |
Therefore r is fixed point of f. To show uniqueness, assume that z≠r is another fixed point of f. That is z=f(z)≠f(r)=r. Then using (3.8), it follows that
MΩ(r,z,ξ)=MΩ(fr,fz,ξ)≥MΩ(r,z,ξδ), ξ>0. |
Which by Lemma 3.2 gives a contradiction r=z. Hence f has unique fixed point.
Corollary 3.2. ([17] fuzzy Banach contraction theorem) Let (S,M,∗) be a complete fuzzy metric space and f:S→S be a mapping such that
M(fr,fz,ξ)≥M(r,z,ξδ) ∀r,z∈S,ξ>0, | (3.8) |
where δ∈(0,1).Then f has unique fixed point.
Proof. Proof follows directly from Theorem 3.1, by taking Ω:S×S→[1,∞) to be the constant function Ω(r)=1 for all r∈S.
Corollary 3.3. ([35] Theorem 2.4) Let (S,M,∗) be a complete fuzzy b-metric space and f:S→S be a mapping. Assume that there exist δ∈(0,1b), such that
M(fr,fz,ξ)≥M(r,z,ξδ) ∀r,z∈S,ξ>0, | (3.9) |
and there are r0∈S and v∈(0,1) such that
limn→∞∗∞i=nM(r0,fr0,ξvi)=1,ξ>0. | (3.10) |
Then f has unique fixed point.
Proof. Take Ω:S×S→[1,∞), in above Theorem, to be a constant function Ω(r)=b for all r∈S. Where b≥1. The following example elaborates that Theorem 3.1 is proper generalization of fuzzy Banach contraction theorem ([17] Theorem 5).
Example 3.1. Let S=[0,1] and MΩ(r,z,ξ)=e−|r−z|ξ, for all r,z∈S. It can be verified that (S,MΩ,∗,Ω) is complete EFbMS with mapping Ω:S×S→[1,∞) defined by Ω(r,z)=1+rz, and continuous t-norm ∗ as usual product.
Let f:S→S be such that f(r)=1−13r. For all ξ>0, we have
MΩ(fr,fz,13ξ)=e−23|r−z|ξ>e−|r−z|ξ=MΩ(r,z,ξ) ∀r,z∈S,ξ>0, |
for 0<δ=13<κ=12. that is conditions of Theorem 3.1 are satisfied. Therefore, f has unique fixed point 34∈[0,1]=S.
Theorem 3.2. Let f be a self mapping on a complete extended fuzzy b-metric space (S,MΩ,∗,Ω). Assume that there exist δ∈(0,1κ) with κ=lim supm,n→∞ Ω(rn,rm) such that
MΩ(fr,fz,ξ)≥min{MΩ(r,z,ξδ),MΩ(fr,r,ξδ),MΩ(fz,z,ξδ)}, | (3.11) |
for all r,z∈S, ξ>0, and there exist r0∈S and v∈(0,1)
limn→∞∗∞i=nMΩ(r0,fr0,ξvi)=1, | (3.12) |
for each ξ>0. Where {rn}⊂S, is defined by rn+1=frn, n∈N∪{0}.
Then f is unique fixed point.
Proof. By (3.11) with r=rn and z=zn−1, for every ξ>0 and for all n∈N, we have
MΩ(rn+1,rn,ξ)≥min{MΩ(rn,rn−1,ξδ),MΩ(rn+1,rn,ξδ),MΩ(rn,rn−1,ξδ)}≥min{MΩ(rn,rn−1,ξδ),MΩ(rn+1,rn,ξδ)}. |
If MΩ(rn+1,rn,ξ)≥MΩ(rn+1,rn,ξδ), then Lemma 3.2, implies that rn=rn+1,n∈N. That is n is fixed point of f.
Therefore
MΩ(rn+1,rn,ξ)≥MΩ(rn,rn−1,ξδ), n∈N,ξ>0, |
and we have that rn is Cauchy sequence by Lemma 3.1. As a result there is a r∈S such that limn→∞r=rn and therefore
limn→∞MΩ(r,rnn,ξ)=1, ξ>0. | (3.13) |
Let's show that r is fixed point of f. Let ϱ1∈(δκ,1) an ϱ2=1−ϱ1. By (3.11) we have
MΩ(fr,r,ξ)≥∗(MΩ(fr,frn,ξϱ1Ω(fr,r)),MΩ(rn+1,r,ξϱ2Ω(fr,r)))≥∗(min{MΩ(r,rn,ξϱ1δΩ(fr,r)),MΩ(r,fr,ξϱ1δΩ(fr,r)),MΩ(rn,rn+1,ξϱ1δΩ(fr,r))},MΩ(rn+1,r,ξϱ2Ω(fr,r))). |
Letting n→∞ and using (3.13), we obtain
MΩ(fr,r,ξ)≥∗(MΩ(r,fr,ξϱ1κδ),1)=MΩ(r,fr,ξv). |
Where v=κδϱ1∈(0,1), we have
MΩ(fr,r,ξ)≥MΩ(fr,r,ξv). |
From Lemma 3.2 it follows that fr=r. To show uniqueness, suppose z≠r is another fixed point of f. By condition (3.11) we get
MΩ(fr,fz,ξ)≥min {MΩ(r,z,ξδ),MΩ(r,fr,ξδ),MΩ(z,fz,ξδ)}=min{MΩ(r,z,ξδ),1,1}=MΩ(r,z,ξδ)=MΩ(fr,fz,ξδ), ∀ξ>0. |
Lemma 3.2 gives r=z. Hence f has unique fixed point. In the following we present fuzzy version of ˊCiriˊc quasicontraction in the setting of EFbMS.
Theorem 3.3. Let f be self mapping on a complete EFbMS (S,MΩ,∗m,Ω). Suppose there exists δ∈(0,1k2), with κ=lim supm,n→∞ Ω(rn,rm), such that
MΩ(fr,fz,ξ)≥min{MΩ(r,z,ξδ),MΩ(fr,r,ξδ),MΩ(fz,z,ξδ),MΩ(fr,z,2ξδ),MΩ(r,fz,ξδ)},∀r,z∈S,ξ>0. | (3.14) |
Where {rn}⊂S, is defined by rn+1=frn, n∈N∪{0}, for some r0∈S.Then f has a unique fixed point.
Proof. Take r=rn and z=rn−1 in (3.14). By (EΩ4) along with the assumption ∗=∗m, and Lemma 3.1, we have
MΩ(rn+1,rn,ξ)≥min{MΩ(rn,rn−1,ξδ),MΩ(rn+1,rn,ξδ),MΩ(rn,rn−1,ξδ),min{MΩ(rn+1,rn,ξΩ(rn+1,rn−1)δ),MΩ(rn,rn−1,ξΩ(rn+1,rn−1)δ)},MΩ(rn,rn,ξδ)}≥min{MΩ(rn,rn−1,ξΩ(rn+1,rn−1)δ),MΩ(rn+1,rn,ξΩ(rn+1,rn−1)δ)}. |
Using same arguments as used in the proof of Theorem 3.2, it turns out that
MΩ(rn+1,rn,ξ)≥MΩ(rn,rn−1,ξκδ), ∀n∈N,ξ>0, |
and {rn} is Cauchy. So there is r∈S such that limn→∞r=rn and therefore
limn→∞MΩ(r,rn,ξ)=1, ξ>0. | (3.15) |
Let ϱ1∈(κ2δ,1) and ϱ2=1−ϱ1. Using (3.14) and (EΩ4) for ∗=∗m, we have
MΩ(fr,r,ξ)≥min{MΩ(fr,frn,ξϱ1Ω(fr,r),MΩ(frn,r,ξϱ2Ω(fr,r))}≥min{min{MΩ(r,rn,ξϱ1Ω(fr,r)δ),MΩ(r,fr,ξϱ1Ω(fr,r)δ),MΩ(rn,rn+1,ξϱ1Ω(fr,r)δ),min{MΩ(fr,r,ξϱ1Ω(fr,rn)Ω(fr,r)δ),MΩ(r,rn,ξϱ1Ω(fr,rn)Ω(fr,r)δ)},MΩ(r,rn+1,ξϱ1Ω(fr,r)δ)},MΩ(rn+1,r,ξϱ2Ω(fr,r))}, ∀ n∈N, ξ>0. |
Letting n→∞ and using (3.15), we obtain
MΩ(fr,r,ξ)≥min{min{1,MΩ(r,fr,ξϱ1κδ),1,min{MΩ(fr,r,ξϱ1κ2δ),1},1},1}=MΩ(fr,r,ξϱ1κ2δ), ξ>0 |
and by Lemma 3.2 with v=κ2δϱ1∈(0,1) it follows that fr=r. To show uniqueness, suppose z=f(z)≠f(r)=r. By Condition (3.14) we get
MΩ(fr,fz,ξ)≥min{MΩ(r,z,ξδ),MΩ(fr,r,ξδ),MΩ(fz,z,ξδ),min{MΩ(fr,r,ξκδ),MΩ(r,z,ξκδ)},MΩ(r,fz,ξδ)}=min{MΩ(r,z,ξδ),1,1,min{1,MΩ(r,z,ξκδ)},MΩ(r,z,ξδ)}=MΩ(r,z,ξκδ)=MΩ(fr,fz,ξκδ) ∀ξ>0. |
Which gives contradiction r=z in the view of Lemma 3.2. Hence f has unique fixed point.
Remark 3.1. In the above theorem, the quasicontractive condition involves the strongest t-norm, that is minimum t-norm ∗m, therefore is of least interest. In the next theorem, we relax this condition by using a t-norm weaker than ∗m. This new contractive condition therefore ensures the existence of fixed point for a relatively broader class of t-norms.
Theorem 3.4. Let (S,MΩ,∗,Ω) with ∗≥∗p be a complete EFbMS, and let f:S→S. Assume that for some δ∈(0,1κ2), with κ=lim supm,n→∞ Ω(rn,rm),
MΩ(fr,fz,ξ)≥min{MΩ(r,z,ξδ),MΩ(fr,r,ξδ),MΩ(fz,z,ξδ),√MΩ(fr,z,2ξδ),MΩ(r,fz,ξδ)}, r,z∈S,ξ>0, | (3.16) |
and there is r0∈S and v∈(0,1) such that
limn→∞∗∞i=nMΩ(r0,fr0,ξvi)=1, ξ>0. | (3.17) |
Where {rn}⊂S, is defined by rn+1=frn, n∈N∪{0}.Then f is unique fixed point.
Proof. Taking r=rn and z=rn−1 in Condition (3.16), by (EΩ4) and ∗≥∗p, we have
MΩ(rn+1,rn,ξ)≥min{MΩ(rn,rn−1,ξδ),MΩ(rn+1,rn,ξδ),MΩ(rn,rn−1,ξδ),√MΩ(rn+1,rn,ξΩ(rn+1,rn−1)δ)MΩ(rn,rn−1,ξΩ(rn+1,rn−1)δ),MΩ(rn,rn,ξδ)}≥min{MΩ(rn,rn−1,ξδ),MΩ(rn+1,rn,ξδ),MΩ(rn,rn−1,ξδ),√MΩ(rn+1,rn,ξκδ)MΩ(rn,rn−1,ξκδ),MΩ(rn,rn,ξδ)}. |
since MΩ(r,z,ξ) is b-nondecreasing in ξ and for w1,w2∈[0,1], min{w1,w2}≤√w1.w2, therefore
MΩ(rn+1,rn,ξ)≥min{MΩ(rn+1,rn,ξκδ),MΩ(rn,rn−1,ξκδ)}. |
Which implies
MΩ(rn+1,rn,ξ)≥MΩ(rn,rn−1,ξκδ)forn∈N,ξ>0. |
Otherwise from Lemma 3.2, it follows that rn is fixed point of f.
Lemma 3.1 implies that {rn} is Cauchy. Completeness of (S,MΩ,∗,Ω) implies that there is r∈S such that limn→∞r=rn and therefore
limn→∞MΩ(rn,r,ξ)=1,ξ>0. | (3.18) |
Let ϱ1∈(κ2δ,1) and ϱ2=1−ϱ1. By (3.16) and (EΩ4) for ∗≥∗p, we have
MΩ(fr,r,ξ)≥∗(MΩ(fr,frn,ξϱ1Ω(fr,r)),MΩ(frn,r,ξϱ2Ω(fr,r)))≥∗(min{MΩ(r,rn,ξϱ1Ω(fr,r)δ),MΩ(r,fr,ξϱ1Ω(fr,r)δ),MΩ(rn,rn+1,ξϱ1Ω(fr,r)δ),√MΩ(fr,r,ξϱ1Ω(fr,rn)Ω(fr,r)δ),MΩ(r,rn,ξϱ1Ω(fr,rn)Ω(fr,r)δ),MΩ(r,rn+1,ξϱ1Ω(fr,r)δ)},MΩ(rn+1,r,ξϱ2Ω(fr,r))))≥∗(MΩ(fr,frn,ξϱ1Ω(fr,r)),MΩ(frn,r,ξϱ2Ω(fr,r)))≥∗(min{MΩ(r,rn,ξϱ1Ω(fr,r)δ),MΩ(r,fr,ξϱ1Ω(fr,r)δ),MΩ(rn,rn+1,ξϱ1Ω(fr,r)δ),min{MΩ(fr,r,ξϱ1Ω(fr,rn)Ω(fr,r)δ),MΩ(r,rn,ξϱ1Ω(fr,rn)Ω(fr,r)δ)},MΩ(r,rn+1,ξϱ1Ω(fr,r)δ)},MΩ(rn+1,r,ξϱ2Ω(fr,r))))∀n∈N,ξ>0. |
Letting n→∞ and by (3.18), we get
MΩ(fr,r,ξ)≥∗(min{1,MΩ(r,fr,ξϱ1κδ),1,min{MΩ(fr,r,ξϱ1κ2δ),1},1},1)=MΩ(fr,r,ξϱ1κ2δ) ξ>0, |
and by Lemma 3.2 with v=κ2δϱ1∈(0,1) it follows that fr=r. To show uniqueness, suppose that z≠r is another fixed point of f. By Condition (3.16) we get
MΩ(fr,fz,ξ)≥min{MΩ(r,z,ξδ),MΩ(fr,r,ξδ)MΩ(fz,z,ξδ)√MΩ(fr,r,ξκδ),MΩ(r,z,ξκδ),MΩ(r,fz,ξδ)}≥min{MΩ(r,z,ξδ),1,1,min{1,MΩ(r,z,ξκδ)},MΩ(r,z,ξδ)}=MΩ(r,z,ξκδ)=MΩ(fr,fz,ξκδ), ∀ξ>0. |
Lemma 3.2 gives contradiction r=z. Hence f has unique fixed point.
This section is about the construction of some fixed point results involving integral inequalities as consequences of our results. Define a function T:[0,∞)→[0,∞) as
T(t)=∫t0℧(t)dt ∀t>0, | (4.1) |
where T(t) is non-decreasing and continuous function. Also ℧(t)>0 and ℧(t)=0 iff t=0.
Theorem 4.1. Let (S,MΩ,∗m,Ω) be a complete extended fuzzy b-metric space and f is self mapping on S. Assume there exist r0∈S, v∈(0,1) and δ∈(0,1κ), with κ=lim supm,n→∞ Ω(rn,rm) such that
∫MΩ(fr,fz,δξ)0℧(ξ)dξ≥∫MΩ(r,z,ξ)0℧(ξ)dξ ∀r,z∈S,ξ>0, | (4.2) |
and
limn→∞∗∞i=nMΩ(r0,fr0,ξvi)=1,ξ>0. |
Where {rn}⊂S, is defined by rn+1=frn, n∈N∪{0}.Then f has unique fixed point.
Proof. (4.1) along with (4.2) implies that
T(MΩ(fr,fz,δξ))≥T(MΩ(r,z,ξ)). |
As T is non-decreasing and continuous therefore
MΩ(fr,fz,δξ)≥MΩ(r,z,ξ). |
Rest of the proof follows from Theorem 3.1.
In the following, we present a more general form of Theorem 4.1 as a consequence of Theorem 3.2.
Theorem 4.2. Let (S,MΩ,∗m,Ω) be a complete extended fuzzy b-metric space and f is self mapping on S. Assume there exist r0∈S, v∈(0,1) and δ∈(0,1κ), with κ=lim supm,n→∞ Ω(rn,rm) such that
∫MΩ(fr,fz,δξ)0℧(ξ)dξ≥∫B(r,z,ξ)0℧(ξ)dξ ∀r,z∈S,ξ>0, | (4.3) |
and
limn→∞∗∞i=nMΩ(r0,fr0,ξvi)=1,ξ>0. |
Where B(r,z,ξ)=min{MΩ(r,z,ξ),MΩ(fr,r,ξ),MΩ(fz,z,ξ)}, and {rn}⊂S, is defined by rn+1=frn, n∈N∪{0}.Then f has unique fixed point.
Proof. (4.1) along with (4.3) implies that
T(MΩ(fr,fz,δξ))≥T(B(r,z,ξ)). |
As T is non-decreasing and continuous therefore
MΩ(fr,fz,δξ)≥B(r,z,ξ). |
Rest of the proof follows from Theorem 3.2.
Theorem 4.3. Let (S,MΩ,∗m,Ω) be a complete extended fuzzy b-metric space and f is self mapping on S. Assume there exist r0∈S, v∈(0,1) and δ∈(0,1κ), with κ=lim supm,n→∞ Ω(rn,rm) such that
∫MΩ(fr,fz,δξ)0℧(ξ)dξ≥∫Y(r,z,ξ)0℧(ξ)dξ ∀r,z∈S,ξ>0, | (4.4) |
and
limn→∞∗∞i=nMΩ(r0,fr0,ξvi)=1,ξ>0. |
Where Y(r,z,ξ)=min{MΩ(r,z,ξ),MΩ(fr,r,ξ),MΩ(fz,z,ξ),MΩ(fr,z,2ξ),MΩ(r,fz,ξ)}, and {rn}⊂S, is defined by rn+1=frn, n∈N∪{0}.Then f has unique fixed point.
Proof. (4.1) along with (4.4) implies that
T(MΩ(fr,fz,δξ))≥T(Y(r,z,ξ)). |
As T is non-decreasing and continuous therefore
MΩ(fr,fz,δξ)≥Y(r,z,ξ). |
Rest of the proof follows from Theorem 3.3.
In the same manner, results on integral inequalities can be obtained as a consequence of Theorem 3.4.
Integral equations find applications in a variety of scientific fields, such as biology, chemistry, physics, or engineering. It is a rapidly growing field in abstract space. Furthermore, fuzzy integral equations constitute one of the important branches of fuzzy analysis theory and play a vital role in numerical analysis. One of the important approaches used for the studying integral equations is to apply fixed point theory directly to the mapping defined by the right-hand side of the equation, or to develop homotopy methods, which are largely considered in fixed point theory. In particular, for its connection with the study of fuzzy integral problems, we highlight a very recent paper [14], in which the author proposes a homotopy analysis method to find an approximate solution of the two-dimensional non-linear fuzzy Volterra integral equation. We also refer the reader to [15,16,27,31,51] for other related works.
We apply our theory of fixed point to ensure the existence of solutions to the following type of integral equations:
u(t)=f(t)+∫t0H(t,s,u(s))ds,t∈[0,b], | (5.1) |
where b>0. The Banach space C≡C([0,b],R) of all real continuous functions defined on [0,b], with norm ‖ for every u\in \mathcal{C} , can be considered as a fuzzy Banach space [30] (for more details concerning the relation between Banach spaces and fuzzy Banach spaces, see [44]). Consider the fuzzy metric on \mathcal{C} given by
\begin{equation*} M(u, v,\delta) = e^{-\frac{\underset{s\in[0,b]}{\sup}|u(s)-v(s)|^2}{\delta}}, \end{equation*} |
for all u, v\in \mathcal{C} and \delta > 0 , furnished with the t -norm *_p defined as x*_py = xy for all x, y\in [0, 1] . Then (\mathcal{C}, M, *_p, \Omega) is a complete \mathcal{E}\mathcal{F}_b\mathcal{M}\mathcal{S} for a bounded function \Omega:\mathcal{C}\times \mathcal{C}\to [1, \infty) .
In the following, we discuss the existence of solutions for the integral equations of the form (5.1).
Theorem 5.1. Let P:\mathcal{C}\to \mathcal{C} be an integral operator given by
\begin{equation*} [P(u)](t) = f(t)+\int_0^tH(t,s,u(s))ds, \: u\in \mathcal{C},\: t\in [0,b]. \end{equation*} |
Let \{f_n\}\subset \mathcal{C} , be defined by f_{\mathfrak{n}+1} = P(f_{\mathfrak{n}}) , \mathfrak{n}\in \mathbb{N}\cup \{0\} , for f\in \mathcal{C} . Suppose there exists \delta\in (0, \frac{1}{k^2}) , with \kappa = {\underset{m, \mathfrak{n}\to\infty}\limsup}\ \Omega(f_\mathfrak{n}, f_m) , where \Omega:\mathcal{C}\times \mathcal{C}\to [1, \infty) is a bounded function and let H\in C([0, b]\times [0, b]\times \mathbb{R}, \mathbb{R}) satisfies the following condition:
(i) There existsa continuous and non-decreasing mapping \psi:[0, 1]\to[0, 1] with \psi(t) > t for all t\in(0, 1) ,
such that, for all u, v\in \mathcal{C}, and every \delta > 0 ,
\begin{eqnarray*} {\sup\limits_{s\in[0,b]}\left(\int_{0}^{s}|H(s,r,u(r))-H(s,r,v(r))| dr\right)^2}\\ \leq -\ln\left(\psi\left( e^{-\frac{\underset{s\in[0,b]}{\sup}|u(s)-v(s)|^2}{\kappa\delta} }\right)\right). \end{eqnarray*} |
Then, the integral Eq (5.1) has a solution u^*\in \mathcal{C}.
Proof. For all u, v\in \mathcal{C}, and \delta > 0 , we have
\begin{eqnarray*} M(P(u), P(v),\kappa\delta)& = & e^{-\frac{\underset{s\in[0,b]}{\sup}|[P(u)](s)-[P(v)](s)|^2}{\kappa\delta}}\\ &\geq& e^{-\frac{\underset{s\in[0,b]}{\sup}\left(\int_{0}^{s}|H(s,r,u(r))-H(s,r,v(r))| dr\right)^2}{\kappa\delta}}\\ &\geq& e^{-\frac{\underset{s\in[0,b]}{\sup}\left(\int_{0}^{s}|H(s,r,u(r))-H(s,r,v(r))| dr\right)^2}{\delta}}\\ &\geq& \psi\left( e^{-\frac{\underset{s\in[0,b]}{\sup}|u(s)-v(s)|^2}{\delta} }\right)\\ & = &M(u,v,\delta). \end{eqnarray*} |
Hence, using Theorem 3.1, P has a fixed point u^*\in \mathcal{C} , which is a solution to the integral Eq (5.1).
Remark 5.1. With slight modification, Theorems 3.2–3.4 can also be applied to the solution of integral equation of type (5.1) .
The important objective in this section is to study the existence and uniqueness of solutions to a nonlinear fractional differential equation (NFDE)by applying Theorem 3.1. Considering the Banach spacer \mathcal{S}\equiv C([0, 1], \mathbb{R}) of all continuous real valued functions defined on [0, 1] with with norm \|u\|: = \sup_{s\in [0, 1]}|u(s)| for every u\in \mathcal{S} ,
we study the existence of unique solutions to a non-linear fractional differential equation
\begin{equation} D^{\sigma}_{0+}(\mathtt{u}(\mathtt{t})) = \mathtt{g}(\mathtt{t},\mathtt{u}(\mathtt{t})),\ \ t\in(0,1) \end{equation} | (6.1) |
with boundary conditions
\begin{equation*} \mathtt{u}(0)+\acute{u}(0) = 0,\ \ \mathtt{u}(1)+\acute{u}(1) = 0, \end{equation*} |
where \mathtt{u}\in \mathcal{S}, \sigma\in (1, 2] and \mathtt{f} : [0, 1] \times \mathbb{R}\rightarrow \mathbb{R} is a continuous function.
Notice that, \mathtt{u}\in \mathcal{S} is a solution of (6.1) whenever \mathtt{u}\in \mathcal{S} solves the following integral equation
\begin{equation} \begin{split} \mathtt{u}(\mathtt{s}) = &\frac{1}{\Gamma(\sigma)}\int_{0}^{1}(1-\tau)^{\sigma-1}(1-s)\mathtt{f}(\tau,\mathtt{x}(\tau))\\&\mathtt{d}\tau+\frac{1}{\Gamma(\sigma-1)}\int_{0}^{1}(1-\tau)^{\sigma-2}(1-s)\mathtt{f}(\tau,\mathtt{x}(\tau))\mathtt{d}\tau\\ &+\frac{1}{\Gamma(\sigma)}\int_{0}^{s}(s-\tau)^{\sigma-1}\mathtt{f}(\tau,\mathtt{x}(\tau))\mathtt{d}\tau. \end{split} \end{equation} | (6.2) |
Detailed description of the problem context can be found in [2,10,34,52]. The following theorem demonstrates that a solution exists to the nonlinear fractional differential Eq (6.1). Define integral operator \mathfrak{J} : \mathcal{S} \rightarrow \mathcal{S} by
\begin{equation} \begin{split} \mathfrak{J}\mathtt{u}(\mathtt{s}) = &\frac{1}{\Gamma(\sigma)}\int_{0}^{1}(1-\tau)^{\sigma-1}(1-s)\mathtt{f}(\tau,\mathtt{u}(\tau))\mathtt{d}\tau\\&+\frac{1}{\Gamma(\sigma-1)}\int_{0}^{1}(1-\tau)^{\sigma-2}(1-s)\mathtt{f}(\tau,\mathtt{u}(\tau))\mathtt{d}\tau\\ &+\frac{1}{\Gamma(\sigma)}\int_{0}^{s}(s-\tau)^{\sigma-1}\mathtt{f}(\tau,\mathtt{u}(\tau))\mathtt{d}\tau. \end{split} \end{equation} | (6.3) |
where \mathcal{S} is an extended fuzzy b -metric space with extended fuzzy b -metric given by
\begin{equation*} \label{FDEfm} \mathcal{M}(u,v,\ell ) = \frac{\alpha\ell}{\alpha\ell+\beta \underset{s\in[0,1]}{sup}|u(s)-v(s)|}, \end{equation*} |
\forall \ell > 0 and u, v\in \mathcal{S} . Here \alpha and \beta are positive real numbers and continuous t -norm * as the usual product.
Theorem 6.1. Let \{f_n\}\subset \mathcal{S} , be defined by f_{\mathfrak{n}+1} = \mathfrak{J}(f_{\mathfrak{n}}) , \mathfrak{n}\in \mathbb{N}\cup \{0\} , for f\in \mathcal{S} . Suppose there exists \delta\in (0, \frac{1}{\lambda^2}) , with \lambda = {\underset{m, \mathfrak{n}\to\infty}\limsup}\ \Omega(f_\mathfrak{n}, f_m) , with \Omega:\mathcal{S}\times \mathcal{S}\to [1, \infty) being a bounded function such that the following conditions are satisfied:
● |\mathtt{f}(\tau, \mathtt{u}(\tau))-\mathtt{f}(\tau, \mathtt{v}(\tau))| \leq |\mathtt{u}(\tau)-\mathtt{v}(\tau)|, \ \ \forall u, v\in \mathcal{S}
● \underset{\mathtt{t}\in[0, 1]}{\sup}\bigg\{\frac{1-s}{\Gamma(\sigma+1)}+\frac{1-s}{\Gamma(\sigma)}+\frac{s^{\sigma}}{\Gamma(\sigma+1)}\bigg\} \leq \lambda < 1.
Then the non-linear fractional differential Eq (6.1) has a unique solution
Proof.
\begin{equation*} \begin{split} \big|\mathfrak{J}\mathtt{u}(\mathtt{s})-\mathfrak{J}\mathtt{v}(\mathtt{s})\big| = & \bigg|\frac{1-s}{\Gamma(\sigma)}\int_{0}^{1}(1-\tau)^{\sigma-1}\left[\mathtt{f}(\tau,\mathtt{u}(\tau))-\mathtt{f}(\tau,\mathtt{v}(\tau))\right]\mathtt{d}\tau\\ & \quad +\frac{1-s}{\Gamma(\sigma-1)}\int_{0}^{1}(1-\tau)^{\sigma-2}\left[\mathtt{f}(\tau,\mathtt{u}(\tau))-\mathtt{f}(\tau,\mathtt{v}(\tau))\right]\mathtt{d}\tau\\ & \quad +\frac{1}{\Gamma(\sigma)}\int_{0}^{s}(s-\tau)^{\sigma-1}\left[\mathtt{f}(\tau,\mathtt{u}(\tau))-\mathtt{f}(\tau,\mathtt{v}(\tau))\right]\mathtt{d}\tau \bigg|\\ \leq&\frac{1-s}{\Gamma(\sigma)}\int_{0}^{1}(1-\tau)^{\sigma-1}\big|\mathtt{f}(\tau,\mathtt{u}(\tau))-\mathtt{f}(\tau,\mathtt{v}(\tau))\big|\mathtt{d}\tau\\ & \quad +\frac{1-s}{\Gamma(\sigma-1)}\int_{0}^{1}(1-\tau)^{\sigma-2}\big|\mathtt{f}(\tau,\mathtt{u}(\tau))-\mathtt{f}(\tau,\mathtt{v}(\tau))\big|\mathtt{d}\tau\\ & \quad +\frac{1}{\Gamma(\sigma)}\int_{0}^{s}(s-\tau)^{\sigma-1}\big|\mathtt{f}(\tau,\mathtt{u}(\tau))-\mathtt{f}(\tau,\mathtt{v}(\tau))\big|\mathtt{d}\tau\\ \leq& \frac{1-s}{\Gamma(\sigma)}\int_{0}^{1}(1-\tau)^{\sigma-1}\big|\mathtt{u}(\tau)-\mathtt{v}(\tau)\big|\mathtt{d}\tau\\ & \quad +\frac{1-s}{\Gamma(\sigma-1)}\int_{0}^{1}(1-\tau)^{\sigma-2}\big|\mathtt{u}(\tau)-\mathtt{v}(\tau)\big|\mathtt{d}\tau\\ & \quad +\frac{1}{\Gamma(\sigma)}\int_{0}^{s}(s-\tau)^{\sigma-1}\big|\mathtt{u}(\tau)-\mathtt{v}(\tau)\big|\mathtt{d}\tau\\ \leq& \underset{\mathtt{s}\in[0,1]}{\sup}\big|\mathtt{u}(s)-\mathtt{v}(s)\big|\bigg(\frac{1-s}{\Gamma(\sigma)}\int_{0}^{1}(1-\tau)^{\sigma-1}\mathtt{d}\tau + \\ &\frac{1-s}{\Gamma(\sigma-1)}\int_{0}^{1}(1-\tau)^{\sigma-2}\mathtt{d}\tau\\ & \quad +\frac{1}{\Gamma(\sigma)}\int_{0}^{s}(s-\tau)^{\sigma-1}\mathtt{d}\tau\bigg)\\ & = \underset{\mathtt{s}\in[0,1]}{\sup}\big|\mathtt{u}(s)-\mathtt{v}(s)\big|\bigg(\frac{1-s}{\Gamma(\sigma+1)} + \frac{1-s}{\Gamma(\sigma)} +\frac{s^{\sigma}}{\Gamma(\sigma+1)}\bigg)\\ & = \delta\underset{\mathtt{s}\in[0,1]}{\sup}\big|\mathtt{u}(s)-\mathtt{v}(s)\big|,\\ &{\rm{ where }}\; \delta = \frac{1-s}{\Gamma(\sigma+1)} + \frac{1-s}{\Gamma(\sigma)} +\frac{s^{\sigma}}{\Gamma(\sigma+1)}. \end{split} \end{equation*} |
From the above inequality, it turns out that
\begin{equation*} \begin{split} & \underset{\mathtt{s}\in[0,1]}{\sup}\big|\mathfrak{J}\mathtt{u}(\mathtt{s})-\mathfrak{J}\mathtt{v}(\mathtt{s})\big|\leq\delta\underset{\mathtt{s}\in[0,1]}{\sup}\big|\mathtt{u}(s)-\mathtt{v}(s)\big|\\ \Rightarrow & \quad \alpha s +\frac{\beta}{\delta}\underset{\mathtt{s}\in[0,1]}{\sup}\big|\mathfrak{J}\mathtt{u}(\mathtt{s})-\mathfrak{J}\mathtt{v}(\mathtt{s})\big|\leq\alpha s+\beta \underset{\mathtt{s}\in[0,1]}{\sup}\big|\mathtt{u}(s)-\mathtt{v}(s)\big|\\ \Rightarrow & \quad \frac{\alpha(\delta s)}{\alpha(\delta s)+\beta\underset{\mathtt{s}\in[0,1]}{\sup}\big|\mathfrak{J}\mathtt{u}(\mathtt{s})-\mathfrak{J}\mathtt{v}(\mathtt{s})\big|}\geq\frac{\alpha s}{\alpha s+\beta \underset{\mathtt{s}\in[0,1]}{\sup}\big|\mathtt{u}(s)-\mathtt{v}(s)\big|}\\ \Rightarrow & \quad \mathcal{M}\left(\mathfrak{J}\mathtt{u},\mathfrak{J}\mathtt{v},\delta s \right)\geq \mathcal{M}\left(\mathtt{u},\mathtt{v},s \right), \end{split} \end{equation*} |
Thus by Theorem 3.1, the operator \mathfrak{J} has a fixed point in \mathcal{S} , consequently the non-linear fractional differential Eq (6.1) has a unique solution in \mathcal{S} .
Remark 6.1 Using similar arguments as above, with little modification, Theorems 3.2–3.4 can also be applied to the solution of the non-linear fractional differential Eq (6.1).
In this work we established an important lemma for showing a sequence to be Caushy in \mathcal{E}\mathcal{F}_b\mathcal{M}\mathcal{S} . Utilizing this lemma we have established some fixed point results in the context of \mathcal{E}\mathcal{F}_b\mathcal{M}\mathcal{S} . As application, we apply the established theory for the existence of solution to a type of integral equations and a nonlinear fractional differential equation. Our results generalize some well-known fixed point results in the literature. Our established results may lead to further research and investigation.
Authors Kamal Shah, Bahaaeldin Abdalla and Thabet Abdeljawad would like to thank Prince Sultan University for paying the APC and support through the research lab TAS.
The authors declare that they have no competing interest regarding this manuscript
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