Abstract
The purpose of this paper is to establish the Oettli–Thra theorem in the setting of KM-type fuzzy b-metric spaces. To achieve this, we first prove a lemma that removes the constraints on the space coefficients, which significantly simplifies the proof process. Based on the Oettli–Thra theorem, we further demonstrate the equivalence of Ekeland variational principle, Caristi’s fixed point theorem, and Takahashi’s nonconvex minimization theorem in fuzzy b-metric spaces. Notably, the results obtained in this paper are consistent with the conditions of the corresponding theorems in classical fuzzy metric spaces, thereby extending the existing theories to the broader framework of fuzzy b-metric spaces.
Keywords:
fuzzy b-metric space; Oettli-Théra theorem; Ekeland variational principle; Caristi’s fixed point theorem; Takahashi’s nonconvex minimization theorem MSC:
58E30; 49J53; 47H10
1. Introduction
In 1993, Oettli and Thra [1] established a new theorem that links equilibrium problems with variational principles, which is now widely recognized as the Oettli–Thra theorem. This result not only demonstrated equivalence to the famous Ekeland variational principle (EVP) [2] but also generalized a new nonconvex minimization principle proposed by Takahashi (see [3]). This theorem is a pivotal result in nonlinear analysis, particularly in the study of vector equilibrium problems and their generalizations. It provides conditions for the existence of solutions to systems of inequalities and has profound connections to variational principles, optimization, and fixed point theory. Many scholars have studied this theorem and its equivalences, as shown in references [4,5,6,7,8]. Currently, research on the Oettli–Thra theorem and EVP primarily focuses on functional forms and domain spaces. The explored functional forms include vector-valued, set-valued, and interval-valued functions. Additionally, the considered spaces encompass uniform spaces, b-metric spaces, fuzzy metric spaces and others (see [5,6,7,8,9,10,11,12,13,14,15,16,17,18,19]).
On the other hand, Kramosil and Michalek [19] first proposed the concept of fuzzy metric space (FMS) in 1975, which later became known as KM-type FMS. In KM-type FMS, a fuzzy set (typically represented by a value between 0 and 1 indicating the degree of membership) is used to replace the classical distance function. This membership value can be interpreted as “the degree to which two points exhibit a certain distance (or similarity)”. Subsequently, fuzzy metric spaces have been extensively studied in the literature [16,17,20,21] and its references. The significance of KM-type fuzzy metric spaces lies in their role as one of the important cornerstones of fuzzy analysis. They successfully generalize the classical concept of metric into fuzzy set theory, providing a powerful mathematical tool and analytical framework for dealing with uncertainty and fuzziness in the real world. In 1994, George and Veeramani [22] improved the concept of KM-type FMS and defined the Hausdorff topology in this FMS, later known as GV-FMS. Afterwards, many classic results were discussed in such spaces, such as [16,23]. It is worth noting that in 2016, Abbasi et al. [16] studied the Caristi’s fixed point theorem (CFPT) in complete GV space and provided the corresponding variational principle. After that, Wu et al. [17] also discussed CFPT in fuzzy quasi-metric spaces. Additionally, Zhu et al. [24], Xiao [25] and Qiu [15] extended fixed point theorems and EVP to fuzzy metric spaces. However, the fuzzy metric spaces in these papers are fundamentally different from the KM-type. Furthermore, Czerwik [26] introduced the concept of b-metric spaces in 1993, which provides a broader type of spatial framework than metric spaces. Many scholars have conducted extensive research in this space and provided various types of fixed point theorems and numerous examples; see [18,26,27].
Based on the concepts proposed in references [19,22,26], Sedghi and Shobe [28] combined the b-metric space with the KM-type FMS, introducing a new type of space called the KM-type fuzzy b-metric space (in short, Fb-MS) in 2012. The KM-type Fb-MS, building upon fuzzy metrics, further relaxes the fuzzy form of the triangle inequality by introducing a constant s, thereby effectively combining fuzzy sets with b-metrics. This provides a more flexible and broader mathematical framework for describing and analyzing real-world systems that are both fuzzy and do not fully satisfy strict metric axioms, while also expanding the application boundaries of fuzzy mathematical theory. Many scholars discussed the properties of such spaces and established some fixed point theorems in them, as shown in [29,30,31,32].
To the best of our knowledge, the Oettli–Thra theorem and its related topics have not yet been thoroughly investigated within the framework of KM-type fuzzy b-metric spaces [28,30]. The aim of this paper is then to present the versions of the Oettli–Thra theorem, EVP, Caristi-Kirk’s fixed point theorem (CKFPT), and Takahashi’s nonconvex minimization theorem (in short, TMT) in fuzzy b-metric spaces, as well as the equivalence chain of these principles. Before presenting these theorems, we establish a key lemma that removes the influence of the coefficients in the triangle inequality of fuzzy b-metric spaces. This influence is eliminated for the first time by revealing the essential local properties of fuzzy function. Furthermore, we provide specific examples to illustrate the feasibility and effectiveness of the Oettli–Thra theorem. It is worth noting that our results generalize classical theorems from fuzzy metric spaces to a broader range of fuzzy b-metric spaces, while maintaining consistency in their conditions.
The remaining paper is organized as follows: In Section 2, we introduce some basic definitions and properties of Fb-MS. Besides, we provide some specific examples to illustrate these properties. In Section 3, we present the Oettli–Thra theorem using the newly established lemmas. Moreover, we provide an example to demonstrate the feasibility of the theorem. In Section 4, as applications of the Oettli–Thra theorem, we establish EVP, CKFPT, and TMT in fuzzy b-metric spaces. Furthermore, we demonstrate the equivalence between these theorems and the Oettli–Thra theorem. Notably, the above results we obtained are improvements to the relevant conclusions in [1,2,3,8,16].
2. Preliminaries
This section first reviews the fundamental concepts of t-norm and KM-type Fb-MS and then discusses their basic topological properties, including convergence, completeness, and continuity. Throughout the paper, we denote the set of all non-negative integers by and the set of all positive integers by .
Definition 1
([16,19,21]). A binary operation is a continuous t-norm if it satisfies the following conditions:
- (1)
- ⋄ is associative and commutative,
- (2)
- ⋄ is continuous,
- (3)
- for all ,
- (4)
- whenever and , for each .
From [16,17,19], we can see some paradigmatic examples of continuous t-norms as follows:
- (1)
- (minimum t-norm);
- (2)
- (product t-norm);
- (3)
- (the Lukasiewicz t-norm);
- (4)
- (, the Sugeno-Weber t-norm).
Archimedean condition: The t-norm ⋄ is called Archimedean if for any pair , there is such that
This condition can be simplified to: if and , then It is easy to see that ·, and are Archimedean; however, ∧ is not Archimedean.
Definition 2
([28,30,31]). Let be a nonempty set and be a real number. A fuzzy set in is a fuzzy b-metric on if for all , and the following conditions hold:
- (1)
- ,
- (2)
- if and only if ,
- (3)
- ,
- (4)
- is continuous,
- (5)
- .
Then is called to be a fuzzy b-metric space.
Remark 1.
If is used instead of (5), then is a FMS. It is important to note that the class of fuzzy b-metric spaces is indeed broader than that of fuzzy metric spaces, as a fuzzy b-metric reduces to a fuzzy metric when the parameter .
Specifically, we construct examples that show a fuzzy b-metric on (with ) does not necessarily reduce to a standard fuzzy metric on , as shown below.
Example 1
([28]). Let and , where is a real number. Then is a fuzzy b-metric with . But for any , it is easy to see that is not a fuzzy metric.
Example 2.
Let and
for all and We show that is a fuzzy b-metric with . However, is not a fuzzy metric.
Obviously, conditions (1)–(4) in Definition 2 are satisfied. Next, we prove the triangle inequality in fuzzy b-metric spaces. For all , we will show that
Here, we take . Then, we only need to prove
In fact, for all , we have . Thus, we can infer that . Similarly, we can infer that
Hence, for each and , we obtain that
Thus condition (5) of Definition 2 holds, and is a fuzzy b-metric.
Especially, let and . Then, we know that , and . Since , we have
Therefore, does not satisfy the triangle inequality of fuzzy metric spaces.
Theorem 1
(Refer to [28,30,31]). Suppose that is a Fb-MS. A sequence in converges to u if and only if , for all . And u is unique.
Definition 3
(Refer to [28,30]).
- (1)
- A sequence in a Fb-MS is a Cauchy sequence if for each and each there exists such that for all .
- (2)
- We say that a Fb-MS is complete if any Cauchy sequence in is convergent.
It worth noting that if is a FMS, then is a continuous function on (See [28]). On the other hand, a fuzzy b-metric can be discontinuous, as shown in the following example.
Example 3.
For all and , define
Then, from [30], we can easily know that is a fuzzy b-metric. Next, we will show that the fuzzy b-metric is not continuous about u and v. Let ; thus, for any , we have . Since for all ,
we obtain that converges to . Let , for any , we have
Therefore, is not continuous.
Definition 4
(Refer to [28,30]). A function is called to be s-nondecreasing if for all .
Lemma 1
(Refer to[28]). Let be a Fb-MS. Then is s-nondecreasing with respect to α, for all . Hence
Definition 5.
Let be a Fb-MS. A mapping ϑ is called upper semicontinuous (lower semicontinuous) if and only if for any sequence which converges to .
3. Oettli–Thra Theorem in KM-Type Fuzzy -Metric Spaces
In this section, we establish the Oettli–Thra theorem within the framework of complete KM-type fuzzy b-metric spaces. Before that, we present several key lemmas used to prove our theorems as below.
Lemma 2.
Let be a Fb-MS with , and are given. Then we have .
Proof.
First, we put . From Lemma 1 we can conclude that
Obviously, is a decreasing sequence. Note that has a lower bound, hence, exists. For brevity, we denote by .
Next, we will prove . If , obviously, we have . If , then there exists , such that . Since , we get
Hence, for all , . By the definition of , it can be inferred that for any , there exists such that , , and so, . Then from the definition of infimum, we can obtain that .
Finally, we demonstrate . For any , as
there exists , such that . Take , then for any , we have , and
It implies that . Hence,
□
In the sequel, we use to prove that satisfies the triangle inequality in a Fb-MS.
Lemma 3.
Let be a Fb-MS. For every ,
Proof.
For all and ,
Letting , we have
□
Lemma 4.
Suppose that is a Fb-MS and is a mapping. For any , define the set
Then for every , .
Proof.
In fact, by the definition of , we notice that
Since , we have
For any ,
Hence, for every , we can deduce that
Therefore, we can conclude that , that is, . □
In the following text, for all and , we define the set
We also have Next, using the above lemmas, we present the Oettli–Thra theorem in the setting of KM-type fuzzy b-metric spaces.
Theorem 2 (Oettli–Thra Theorem).
Let be a complete Fb-MS and let be a non-trivial and upper semicontinuous mapping. Suppose that ⋄ is a continuous and Archimedean t-norm. Consider such that . Assuming that satisfies the following property:
for every , there exists such that for all
Then .
Proof.
First, by , we have . Suppose that , then for every , there exists such that for all . Now, choose such that
As , by Lemma 4 we have . Similarly, we take such that
By the property of ⋄ and , we have
Hence, we know that is a increasing sequence. As
letting , we can deduce that
Next, we will show that is a Cauchy sequence in . Before that, we first prove the following statement holds true:
If the statement is not valid, then there exists such that for every , there exists , such that
Note that is a increasing sequence, hence, for all , we have . Using the definition of limit and Equation (1), we know that for every , there exists such that for any , Hence, let the above . Since , we have
As is arbitrary, we get . This is contradicted by Archimedean condition. Hence, the statement (2) holds true.
From Lemma 2, we have . This implies that for each and , there exists such that for each . Therefore, is a Cauchy sequence. By the completeness of , there exists such that , i.e., , for each .
Then, we will show that . Let . By (2), there exists such that
For every and , by combining Lemma 2 and (2), we can conclude that
Since converges to , we have for all . Hence, by letting in (3), we get
Therefore, we conclude that .
Finally, we prove , and the conclusion holds true. From Lemma 3, we have . Letting ,
Similarly, we have and
Thus,
Moreover, for any , we have . Letting , we get . From is upper semicontinuous and Equation (4), we have
Hence, for all . On the other hand, from the property of D, there exists such that for all , that is, . Then, for all . From (1) we have and . Then from the Archimedean condition, we have , which contradicts . Therefore, we conclude that . □
Example 4.
Let be the same space in Example 2. Obviously, is complete. Suppose that defined by , for all . In fact, from Theorem 2, we know that for each ,
that is, . Let be a subset satisfying the condition that for every , there exists such that , for all . Assume that . It is obviously that . Since , thus .
Lemma 5.
Consider a KM-type Fb-MS endowed with Sugeno–Weber t-norm , . Then the triangle inequality holds if and only if
for all and .
Proof.
The desired result follows directly from the definition of Sugen–Weber t-norms. □
The following two corollaries are different from Theorem 2, as the t-norm no longer requires the Archimedean condition.
Corollary 1.
Let be a complete Fb-MS and let be an u.s.c. and upper bounded function. Also assume that ⋄ is a continuous t-norm such that for all . In addition, consider such that . Suppose that such that for every , there exists such that for all Then .
Proof.
Consider a Fb-MS with t-norm . Define on . Next, we claim that is a complete Fb-MS. Then we only need to show that the triangle inequality holds. Since is a complete Fb-MS, from Lemma 5, for all and , we can obtain that
which implies that
On the other hand, by the definition of , it is easy to see that if is a Cauchy sequence in then it is a Cauchy in , so is a complete Fb-MS. Next, define , for all One can deduce that is a nontrivial u.s.c. and upper bounded function from into . Hence,
From the assumption of Corollary 1, we know that for every , there exists such that . Thus, for every we have and for all . Without loss of generality we can assume that . Since otherwise we can consider , where . Therefore, Theorem 2 concludes that , and so, . □
Corollary 2.
Let be a complete Fb-MS and let be an u.s.c. and upper bounded function. Also assume that ⋄ is a continuous t-norm such that for all . Additively, consider such that . Let such that for every , there exists such that for all Then .
Proof.
Consider endowed with , where . Define and , , for all and . Also, we can easily know that is a nontrivial u.s.c. and upper bounded function from into . We claim that is a complete fuzzy b-metric space. To demonstrate that, we only prove the triangle inequality, that is, for all and ,
Firstly, by the definition of , we can deduce that
From Lemma 5, we have
Next, we can infer that
Hence, , is a fuzzy b-metric space. By the definition of , it is easy to see that if is a Cauchy sequence in then it is a Cauchy in , so is a complete fuzzy b-metric space. From the assumption of Corollary 2, we know that for every , there exists such that for all Thus, we have
Therefore, and satisfied the conditions in Corollary 1, and we can obtain that . □
Remark 2.
According to Corollary 1 and 2, if the minimum norm ∧ is used instead of ⋄, the conclusions still hold true. This indicates that under specific conditions, the t-norm does not need to satisfy the Archimedean condition.
4. Application
Building upon the Oettli–Thra theorem, we establish EVP, which is significant in optimization problems.
Theorem 3
(EVP). Let be a complete Fb-MS and let be a non-trivial and upper semicontinuous mapping. Assume that ⋄ is a continuous t-norm and satisfies the Archimedean condition. Consider such that . Then there exists and such that for any ,
Proof.
For all , define a set-valued mapping as follows,
Choose . If , that is, , then, there exists with such that
Hence, for all , the conditions of Theorem 2 are satisfied. Consequently, there exists , such that , that is, for all , there exists such that . □
Remark 3.
According to Theorem 3, we can generalize Theorem 3.9 in [16] from fuzzy metric spaces to fuzzy b-metric spaces without adding any conditions. Also, we can derive Theorem 2.2 in [2].
Due to the universality of Fb-MS, we further apply the Oettli–Thra theorem to fixed point problems and minimization problems, thereby extending its scope.
Theorem 4 (CFPT).
Let be a complete Fb-MS and let be a mapping. Suppose that ⋄ is a continuous and Archimedean t-norm, and is a non-trivial upper semicontinuous function. Assume that for all and
holds. Then has a fixed point.
Proof.
From Theorem 3, we know that there exists and such that for all ,
We claim that , otherwise, . By the conditions of Theorem 4, we have
for all . Moreover, from Theorem 3, we know that , which contradicts (5). Hence, . □
Similarly, we can give the version of set-valued Caristi-Kirk’s fixed point theorem.
Theorem 5 (CKFPT).
Let be a complete Fb-MS and be a non-trivial and upper semicontinuous function. Let be a set-valued mapping from into . Suppose that for all , there exists such that
Then there exists such that .
Remark 4.
Similar to Corollaries 1 and 2, if we replace ⋄ with or in Theorem 4, we can derive ([16] Corollaries 3.3, 3.4).
Next, we establish TMT in fuzzy b-metric spaces, which can solve the minimization problem.
Theorem 6.
(TMT) Let be a complete Fb-MS and let be a non-trivial and upper semicontinuous function. Assume that ⋄ is a continuous t-norm and satisfies the Archimedean condition. Suppose that for each with , there exists such that
Then there exists such that .
Proof.
First, we suppose that for all , . By the assumptions of Theorem 6, we know that there exists such that
Next, for all , we define , hence, satisfies the conditions of Theorem 4. Thus, we obtain that has a fixed point, i.e., there exists such that , which contradicts the definition of . Therefore, there exists such that . □
Remark 5.
It is worth noting that we can derive Theorems 3.1 and 3.13 in [16] from Theorems 4 and 6.
Theorem 7 (Equivalence).
Theorems 2–4 and 6 are equivalent.
Proof.
Since
next, we only need to verify Theorem 6 ⇒ Theorem 2. Suppose that . Then for every , there exists such that
Notably, inequality (6) states that , and so, . Hence, for all , the conditions of Theorem 6 are satisfied, and we can obtain that there exists such that . Furthermore, for each with , we have and for all . This implies that
a contradiction with (6). Therefore, . □
5. Conclusions
We propose some new properties of fuzzy b-metrics and provide corresponding lemmas to demonstrate the existence of the right limit of fuzzy b-metrics when tends to . This effectively removes the restriction on the triangle inequality coefficient in fuzzy b-metric spaces. By utilizing these lemmas, we establish the Oettli–Thra theorem for the first time in KM-type fuzzy b-metric spaces, which is an extension of the results in existing fuzzy metric spaces, fundamentally expanding the application scope of the Oettli–Thra theorem.
The extended Oettli–Thra theorem can also derive EVP, CFPT, and TMT, greatly enriching the research on optimization problems, fixed point problems, and minimization problems in KM-type fuzzy b-metric spaces. Notably, these conclusions generalize and enhance the relevant results in references [1,2,3,16,17,19]. Furthermore, the results also demonstrate the utility of the methods proposed in this paper, providing a research tool for further exploration in this field.
Author Contributions
Writing—original draft, X.L.; Writing—review & editing, F.H. and N.L. All authors have read and agreed to the published version of the manuscript.
Funding
This research was supported by the National Natural Science Foundation of China (12061050).
Data Availability Statement
Data are contained within the article.
Conflicts of Interest
The authors declare no conflicts of interest.
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