1. Introduction and Preliminaries
The concept of continuous triangular norm was given by Schweizer and Sklar [1] in 1960. In 1965, the theory of fuzzy sets was given by Zadeh [2]. Later, in 1975, Kramosil and Michalek (see [3]), starting with the notion of fuzzy sets, defined the concept of fuzzy metric space with the continuous t-norms. The premise that there does not necessarily have to be a real number to describe the distance between two points is the basis for the fuzzy approach to distance. Then, in the same frame, George and Veeramani [4], in 1994, changed the definition of the fuzzy metric spaces. In [5], Grabeic gave the well-known Banach contraction principle in the case of fuzzy metric spaces, in the sense of Kramosil and Michalek. Starting with this generalization, many other researchers extended these results. One important case is that of Gregori and Sapena (see [6]), where the fuzzy Banach contraction theorem is translated in the case of fuzzy metric space in the sense of George and Veeramani [4]. Recently, were developed the fixed point theory fuzzy b-metric spaces. For example, see the generalizations of Sedghi and Shobe [7] and Abbas et al. [8]. The notion of the triangular property of the fuzzy metric in fuzzy metric spaces was given by Shamas et al. [9] in order to prove fixed point results losing the continuity condition. Moreover, many results on fuzzy metric spaces can be consulted in the following research works [10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28].
Furthermore, we give some basic definitions below:
([7]). A 3-tuple is said to be a fuzzy b-metric space (FBM space) if is an arbitrary (non-empty) set, ∗ is a continuous ϑ-norm and is a fuzzy set on , satisfying the following conditions:
- (F1)
,
- (F2)
if and only if ,
- (F3)
,
- (F4)
,
- (F5)
is continuous,
([8]). Let be a FBM space.
- (D1)
A sequence is convergent and converges to if for all and denoted as .
- (D2)
If and for any then is said to be a Cauchy sequence in .
- (D3)
If every Cauchy sequence is convergent in then is said to be a complete FBM space.
Let be an FBM-space with and a mapping is called fuzzy b-contraction if there exists such that
(1)
for all .Let be an FBM-space with and a mapping is said to be a rational type fuzzy b-contraction if there exists and s.t:
(2)
for all .In this manuscript, we prove some results of fixed points in the fuzzy b-metric spaces for non-continuous mappings. Motivated by the solutions of Shamas et al. [9] and Mani et al. [29] we recall the b-triangular property in fuzzy b-metric space, which is crucial for proving the new results here presented. Furthermore, we give some interesting applications of our results, the first result for proving the existence of a unique result of an integral Fredholm equation, and the other in dynamic programming.
2. Main Results
In this section, we recall first the b-triangular property given by Mani et al. in [29] and we discuss some new fixed point results involving this condition. We can say that it is an interesting way to prove the existence of a fixed point considering the b-triangular property, without having the property of continuity of the fuzzy b-metric. Then we give a result of fixed points for rational-type fuzzy b-contractions that satisfy condition (2).
First, let us recall the b-triangular property of a fuzzy b-metric in an space.
([29]). Let be an FBM space with . The fuzzy b-metric is b-triangular if:
Note that, if , we obtain the triangular property defined by Bari and Vetro [30].
([29]). Let be defined by:
for all .Now,
which implies that:
for , where . So, is fuzzy b-triangular.
Our first main result is the following.
(Banach contraction principle in FBM). Let be a complete FBM-space with s.t is b-triangular and a mapping is a fuzzy b-contraction satisfying (1). Then, ℓ has a UFP (unique fixed point) in .
Fix and Then, by (1), for , we have:
Then,
(3)
Now, from (3) using induction, we have:
(4)
for . So,(5)
for . Since is b-triangular, using (4) we obtain:Therefore, is a Cauchy sequence in . Since is complete, there is such that
(6)
for . Since is a b-triangular, from (1), (5) and (6), for , we have:Hence,
Therefore,
for . Let s.t and ; then, from (1) we obtain:This is a contradiction. So, . □
Consider , ∗ to be a continuous ϑ-norm and by:
for all . Clearly, is b-triangular and is a complete FBM space with (see Example 1). Define by:
for all . Then we have:
Thereby, all the axioms of Theorem 1 are fulfilled with . Hence ℓ has a UFP .
Our next main theorem is given below:
Let be a complete FBM-space with s.t is b-triangular and a mapping is a rational-type fuzzy b-contraction satisfying (2) s.t and . Then, ℓ has a UFP in .
Fix and Then, by (2), for , we have:
Then,
(7)
Now, from (7) using induction, we have:
(8)
for . So,(9)
for . Since is b-triangular, using (8) we obtain:Therefore, is a Cauchy sequence in . Since is complete, there is such that:
(10)
for . Since is a b-triangular, from (2), (9) and (10), for , we have:Hence,
Therefore,
for . Let s.t and ; then, from (2) we obtain:This is a contradiction. So, . □
Next, let us give another fixed point result related to b-triangular property of the fuzzy metric.
Let be a complete FBM-space with , s.t is b-triangular and a mapping that satisfies:
(11)
for all with . Then ℓ has a UFP.Fix and . Then, by (11), for , we have:
By definition of the FBM space, , for , and after simplification, we have:
(12)
where .Now, from (12) using induction, we have:
(13)
for . Then,(14)
for . Notice that is b-triangular; then, ,Hence, is a Cauchy sequence. Since is complete, then we can find satisfying:
(15)
for . Since is b-triangular,(16)
for . Now from (11), (14) and (15), for ,By definition of the FBM space, we have , for . So, we obtain:
(17)
Now, from (15)–(17), as , we derive that:
for , and , where and hence , i.e., , for . Let s.t . Then, from (11), we have: where . Thereby, . Hence, , for . □Let be a complete FBM-space s.t is b-triangular and a map satisfies:
with . Then, ℓ has a UFP.
Let be a complete FBM-space with , in which is b-triangular and a mapping satisfies:
with . Then, ℓ has a UFP.
Let be a complete FBM-space with , s.t is b-triangular and a mapping satisfies:
with . Then, ℓ has a UFP.
Let , ∗ be a continuous ϑ-norm and defined by:
Afterward, one may simply verify that is b-triangular and is a complete FBM space with . Define by:
Let and , then:
Therefore, all the axioms of Theorem 3 are fulfilled with . Hence ℓ has a unique fixed point .
3. Application to a Fredholm Inegral Equation
In this section, as an application of Theorem 2, we examine the existence and unique solution to a Fredholm integral problem. Let be the set of all real-valued continuous mappings on , where . The Fredholm IE (integral equation) is:
(18)
The binary operation ∗ is defined by , for all . Define by:
Then, is b-triangular and is a complete FBM space with .
Presume that:
-
(T1)
there is a mapping be a continuous function s.t:
-
(T2)
.
Then, the Equation (18) has a unique solution in .
Define the mapping by:
Then we have:
Thereby, all the axioms of Theorem 2 are satisfied with and . Hence ℓ has a UFP in . □
Consider the Fredholm IE as follows:
(19)
Let us take as the exact solution of Equation (19).
Hence, the absolute solution of the given equation is for . Table 1 shows the numerical results below:
The comparison between the approximate solution (A.S) and exact solutions (E.S) is shown in the following Figure 1.
4. Application to Dynamic Programming
Dynamic programming can be considered both a mathematical optimization and a computational programming method at the same time. It was formulated by the US mathematician Richard Bellman in the 1950s; see [31,32]. This algorithm was used to describe the problem-solving process in which the best decision is sought at each step. Dynamic programming is one of the most popular algorithms used in biocomputing. Moreover, it is used in a variety of processes, such as sequence comparison, physics phenomena, genetic recognition, social sciences analysis and many other problems.
The theory of dynamic programming extends to multi-stage decision processes. In these types of processes, some functional equations appear in a usual manner. In this section we use a couple functional equations which appear in some types of continuous multi-stage decision-making processes. Next, let us recall some main definitions of the continuous multi-stage decision-making theory.
Consider , to be the state and decision space, respectively, where and are Banach spaces. We denote a state and decision vector by u and v. Let us consider the following given maps , , and , where denotes the set of real numbers. Let be the return function of the continuous decision process; it is defined by the following functional equation:
(20)
In accord with the previous facts, let us give the main outcome of this part.
Considering the previous conditions, we suppose the following to be true:
-
(i)
and are bounded;
-
(ii)
, for ,
Then the functional Equation (20) has a unique bounded solution on Δ.
Let be the space of bounded real-valued maps on and let * be a binary operation defined by , for all . We consider the fuzzy b-metric defined as:
Clearly, is b-triangular and is a complete FBM space with . Next, let us define the mapping ℓ on by , where:
By the hypothesis we obtain that .
Let and be any two elements of , and we define and . Then we have:
We consider and let be any positive real number. For any two elements we obtain:
(21)
with , for .In addition, we obtain:
(22)
(23)
By and we obtain:
(24)
By and and using the property we obtain:
(25)
Since then . Then, by (24) and (25) and using the definitions of and we obtain:
Thus, all the axioms of Theorem 1 are accomplished. Then the map ℓ has a UFP. This gives that the functional Equation (20) has a unique bounded solution on . □
5. Application to Fractional Differential Equation
Consider the nonlinear fractional differential equation (NLFDE)
(26)
with , where is a real number, is the Caputo fractional derivative and a continuous function from to . Let . Define by:(27)
Then, is b-triangular and , where ∗ is defined by , for all is a complete FBM space with . Notice that solves (26) whenever solves the following IE:
(28)
More details can be found in [33].
The integral operator is given by:
(29)
where fulfills the following criteria:-
(S1)
-
(S2)
.
Then, NLFDE (26) has a unique solution in :
Now,
Thereby, all the axioms of Theorem 3 are fulfilled with and . Hence ℓ has a UFP in . □
Consider the NLFDE:
(30)
where is defined by:with:
An integral operator is defined as in Theorem 6 and , for .
(i). Note that from to is continuous and
(ii). Here . Hence,
and .
Therefore, all the axioms of Theorem 6 are fulfilled. Hence, the problem (30) has a solution on . □
Open problems:
(1). It will be very interesting in future studies if the condition of the Theorem 2 can be replaced by the condition .
(2). Moreover, the case of multivalued operators can raise other new results in this fixed point research direction.
6. Conclusions
In this manuscript, we proved the fixed point results without continuity and by using the b-triangular property on FBM-space. Moreover, we give some illustrative examples to sustain our results and two interesting and different applications, to show the variety of applicability of our main results in any other mathematics and computer sciences domains. Then, we give applications to prove the uniqueness and the existence of the solutions of a Fredholm IE and the second application is given for dynamic programming processes. In the end we give two open problems.
Investigation, G.M., A.J.G., L.G., Z.D.M. and R.G.; Methodology, G.M., A.J.G., L.G., Z.D.M. and R.G.; Software, G.M., L.G. and Z.D.M.; Supervision, Z.D.M. and R.G. All authors have read and agreed to the published version of the manuscript.
Not applicable.
The authors declare no conflict of interest.
Footnotes
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Figure 1. Prove that the fixed point of [Forumla omitted. See PDF.] is 1 and is unique.
Numerical results for Example 4.
|
|
|
Error |
---|---|---|---|
0.25 | 1.8473 | 0.4618 | 1.0112 |
0.50 | 3.6945 | 1.8473 | 1.8473 |
0.75 | 5.5418 | 4.1563 | 1.3855 |
1.00 | 7.3891 | 7.3891 | 0.0000 |
1.25 | 9.2363 | 11.5454 | 2.3091 |
1.50 | 11.0836 | 16.6254 | 5.5418 |
1.75 | 12.9308 | 22.6289 | 9.6981 |
2.00 | 14.7781 | 29.5562 | 14.7781 |
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Abstract
In this paper, we introduce the b-triangular property in fuzzy b-metric space. Furthermore, we give some new fixed point results in fuzzy b-metric space for non-continuous mappings. Our results generalize and expand some results from the related literature. Two applications of our results, to solving Fredholm integral equation and in dynamic programming, are also given.
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1 Department of Mathematics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai 602105, Tamil Nadu, India;
2 Department of Mathematics, Faculty of Engineering and Technology, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur 603203, Tamil Nadu, India;
3 Department of Pharmaceutical Sciences, “Vasile Goldiş” Western University of Arad, L. Rebreanu Street, No. 86, 310048 Arad, Romania;
4 Department of Mathematics, College of Science and Humanities in Alkharj, Prince Sattam bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
5 Faculty of Electrical Engineering, University of Banja Luka, Patre 5, 78000 Banja Luka, Bosnia and Herzegovina;