Abstract
There are many symmetries in L-fuzzy algebras. In this paper, a novel approach to the fuzzification of a field is introduced. We define a mapping from the family of all the L-fuzzy sets on a field X to L such that each L-fuzzy set is an L-fuzzy subfield to some extent. Some equivalent characterizations are given by means of cut sets. It is proved that is L-fuzzy convex structure on X, hence forms an L-fuzzy convexity space. A homomorphism between fields is exactly an L-fuzzy convexity preserving mapping and an L-fuzzy convex-to-convex mapping. Finally, we discuss some operations of L-fuzzy subsets.
1. Introduction
Symmetry occurs not only in geometry, but also in other branches of mathematics. In particular, there are many symmetries in groups, rings, fields, lattices and L-fuzzy algebras. Given a structured object X of any sort, a symmetry is a mapping of the object onto itself that preserves the structure. In algebra, the notion of field is one of the most basic and important concepts. The fuzzification of fields was first introduced in [1]. Later it was redefined in [2,3,4]. However, given a fuzzy set in a field, we know that it is either a fuzzy subfield or not. Only one of both cases is true. It does not have any fuzziness. In this paper, our aim is to present a novel approach to the fuzzification of fields. We do this work for two reasons. One is to extend the fuzzy field theory to a more general framework, and the other is to provide new examples for expanding the practical scope of fuzzy convexity theory.
Convexity theory has been accepted to be of increasing importance in recent years in the study of extremum problems in many areas of applied mathematics. As the axiomatization of the properties that usual convex sets fulfill, an abstract convexity on a set was proposed. In fact, convexity exists in so many mathematical areas, such as lattices, groups, rings, fields, metric spaces, graphs, matroids, functional analysis and so on. For example, all subalgebras of a universal algebra form exactly a convex structure [5]. Some more applications can be found in [6].
In 1994, the notions of fuzzy convex spaces and convex closure operators were first proposed by Rosa [7]. Later, Maruyama [8] generalized Rosa’s Definition to completely distributive lattice-valued setting, and investigated some combinatorial properties of lattice-valued fuzzy convex sets in Euclidean spaces. In a completely different direction, Shi and Xiu [9] proposed the concept of -fuzzy convex structures, which contains L-convex structures and M-fuzzifying convex structures as special cases.
As mentioned above, fuzzy convexity exists in so many algebraic areas, such as hazy lattices, hazy groups, fuzzy rings, fuzzy universal algebras, and so on. For example, Li J. and Shi F.-G. first discovered the close relationship between fuzzy sublattice and fuzzy convex structures [10]. Afterwards, Liu and Shi applied (fuzzifying) convexities into M-hazy lattices [11], and M-fuzzifying groups [12], Mehmood and Shi applied (fuzzifying) convexities into M-hazzy rings [13,14] and An and Shi applied L-fuzzy convexities into L-fuzzy rings [15]. However, the research of the relationship between L-fuzzy convexity and L-fuzzy subfields are hardly available.
In this paper, we define a mapping from the family of all the L-fuzzy sets on a field X to L such that each L-fuzzy set is an L-fuzzy subfield to some extent. It is proved that is L-fuzzy convex structure on X, hence forms a convexity space. A homomorphism between fields is exactly an L-fuzzy convexity preserving mapping and an L-fuzzy convex-to-convex mapping. Our work shows that L-fuzzy subfield theory can be regarded as a new example for expanding the practical scope of fuzzy convexity theory.
2. Preliminaries
Throughout this paper, L is a completely distributive lattice [16,17], the smallest element and the largest element in L are denoted by ⊤ and ⊥, respectively.
An element a in L is called a prime element if implies or . a in L is called co-prime if implies or [16]. The set of non-unit prime elements in L is denoted by . The set of non-zero co-prime elements in L is denoted by .
The binary relation ≺ in L is defined as follows: for , if and only if for every subset , the relation sup D always implies the existence of with [17]. is called the greatest minimal family of b, denoted by . Moreover, define a binary relation ∢ as follows: for all , if and only if for every subset , implies for some . The set , denoted by , is called the greatest maximal family of a in the sense of [17]. In a completely distributive lattice L, is a ⋀-⋃ map, is a union-preserving map [17].
Theorem 1
([18]). Let and . Define
In a complete Heyting algebra L, there exists an implication operator ↦: as the right adjoint for the meet operation ∧ by
We list some properties of the implication operation in the following lemma.
Lemma 1
([19]). Let L be a complete Heyting algebra and let ↦ be the implication operator corresponding to ∧. Then for all , , the following statements hold:
- (1)
- (2)
- (3)
- (4)
- , hence whenever
- (5)
- , hence whenever
- (6)
- (7)
Definition 1
([15]). Let μ be an L-fuzzy subset in a ring R. Then the L-fuzzy subring measure of μ is defined as
Lemma 2
([19]). Let be a set mapping andet and be the families of L-fuzzy subsets in S and respectively. Then we have
- (1)
- if f is surjective;
- (2)
- if f is injective,
where and are defined by
Definition 2
([9]). A mapping is called an -fuzzy convexity on X if it satisfies the following conditions:
- (LMC1) ;
- (LMC2) if is nonempty, then ;
- (LMC3) if is nonempty and totally ordered, then .
The pair is called an -fuzzy convex space. An -fuzzy convex space is called an L-fuzzy convex space for short.
Definition 3
([9]). Let and be -fuzzy convexity spaces. A mapping is called
- (1)
- An -fuzzy convexity preserving mapping provided for all .
- (2)
- An -fuzzy convex-to-convex mapping provided for all .
- (3)
- A mapping is called an -fuzzy isomorphism provided f is bijective, -fuzzy convex preserving and -fuzzy convex-to-convex.
An -fuzzy convex preserving mapping is called an L-fuzzy convex preserving mapping, an -fuzzy convex-to-convex mapping is called an L-fuzzy convex-to-convex mapping, and an -fuzzy isomorphism is called an L-fuzzy isomorphism for short.
Definition 4
([2,3,4]). An L-fuzzy set μ of a field F is said to be an L-fuzzy subfield of F if for any ,
Definition 5
([20]). Let μ and ν be two L-fuzzy subsets of a field F. Define the L-fuzzy subset of F by ,
Theorem 2
([18]). , the following conditions are true.
- (1)
- (2)
3. A Novel Definition of -Fuzzy Subfield
According to Definition 4, we know that an L-fuzzy set in a field F is either an L-fuzzy subfield or not. Only one of both cases is true. It does not have any fuzziness. Next we shall present a novel approach to the fuzzification of subfields.
Definition 6.
Let μ be an L-fuzzy subset in a field F. Then L-fuzzy subfield measure is defined as
It is obvious that is an L-fuzzy subfield of F if and only of .
Example 1.
Let be the field of real numbers, and with . Define by
Then we have
- (1)
- In fact, if , then , in this case,therefore we obtain .
- (2)
- If , then is not an integer, in this case,therefore we obtain .
- (3)
- If both x and y are rational numbers, then are rational numbers, in this case,If one of x and y is irrational number, then both and are irrational numbers, in this case,However we can obtain .
Example 2.
Let be the field of real numbers, and , define by
Then we have
- (1)
- In fact, if , then and , in this case,So we can get .
- (2)
- If are irrational numbers, then are rational numbers, in this case,So .
- (3)
- is obvious.
Theorem 3.
Let μ be an L-fuzzy set in a field F. Then
Proof.
From Definition 6 we can obtain that , ( when considering )
In particular we have that
This shows that
So
can be proved.
Analogously we can prove
To sum up, it is available. □
The following lemma is obvious.
Lemma 3.
Let μ be an L-fuzzy set in a field F. Then if and only if for any ,
The next Theorem presents some equivalent descriptions of L-fuzzy subfield measure.
Theorem 4.
Let μ be an L-fuzzy set in a field F. Then
- (1)
- (2)
- (3)
- (4)
- (5)
- if for any .
Proof.
Suppose that
Then for any
and for any , we have
this shows . Therefore is a subfield of F. Hence
Conversely, assume that and , is a subfield of F.
For any , let . Then and , thus , i.e.,
This means that
So is clearly established;
Suppose that and for any ,
Then for any and , we have
By
we know
Hence , i.e. .
This means that is a subfield of F and . This shows that
Conversely, assume that
Now we prove for any ,
Suppose that By
we know that and . Since is a subfield of F, it holds that , i.e., and . This shows that
Therefore
So is clearly established;
Suppose that and for any ,
Let and . Now we prove . If , i.e., and , then
By and , we have , which contradicts . Hence . This shows that is a subfield of F. Therefore
Conversely, assume that
Now we prove that for any ,
Let and . Then , and , i.e., . Since is a subfield of F, it holds that , i.e. . This shows that
Therefore
So is clearly established;
Suppose that
Then for any and for any , it holds that
i.e., . This shows that is a subfield of F. This means that
Conversely, assume that
Now we prove that for any ,
Let . By
we know that and . Since is a sufield of F, it holds that , i.e., and . This shows that
Therefore
So is clearly established.
In conclusion, . □
By Definition 1 and Definition 6, we obtain the following Theorem.
Theorem 5.
Let μ be an L-fuzzy subset in a field F. Then .
4. The Relation between -Fuzzy Subfield Measure and -Fuzzy Convexity
In this section, we will investigate the relation between L-fuzzy subfield measure and L-fuzzy convexity. We will prove that a field homomorphism is exactly an L-fuzzy convex preserving mapping and an L-fuzzy convex-to-convex mapping.
For each , can be naturally considered as a mapping defined by .
The following Theorem shows that is an L-fuzzy convexity on F.
Theorem 6.
Let F be a field. Then the mapping defined by is an L-fuzzy convexity on F, which is called the L-fuzzy convexity induced by L-fuzzy subfield measure on F.
Proof.
(LMC1) It is straightforward that
(LMC2) Let be nonempty. To prove
For any , by Theorem 4, for all , we have
for all . This implies
By Lemma 3, we have . From the arbitrarin ess of a, we obtain
(LMC3) Let be nonempty and totally ordered. To prove
For any . By Lemma 3, for all , we have
for all . Let such that
Then we have
Hence there exists some such that . Since is totally ordered, we assume , it follows that .
By
we obtain and .
Hence and .
From the arbitrariness of b, we have
Combining Lemma 3, we have . By the arbitrariness of a, we obtain . Therefore is an L-fuzzy convexity on F. □
Now we consider the L-fuzzy subfield measures of homomorphic image and preimage of L-fuzzy sets.
Theorem 7.
Let be a field homomorphism, and . Then
- (1)
- if f is injective, then
- (2)
- if f is suijective, then
Proof.
can be proved from Theorem 4 and the following fact.
If f is injective, the above ⩾ can be replaced by =. Hence .
can be proved from the following fact.
If f is surjective, the above ⩾ can be replaced by =. Thus we can obtain that □
By Theorem 7 (1) and (2), we obtain the following Theorem.
Theorem 8.
Let and be the L-fuzzy convexities induced by L-fuzzy subfield measures on F and . If is a field homomorphism, then is an L-fuzzy convexity preserving and L-fuzzy convex-to-convex mapping.
The following corollary is obvious.
Corollary 1.
Let and be the L-fuzzy convexities induced by L-fuzzy subfield measures on F and . If is a field isomorphism, then is an L-fuzzy isomorphism.
5. The Operations of -Fuzzy Subfields
In this section, we shall discuss some operation properties of L-fuzzy subfields measures.
In a field F, given two L-fuzzy sets , , is defined in Defintion 5. Now we present its representations by means of cut sets.
Theorem 9.
Let F be a field, . Then the following conditions are true.
- (1)
- (2)
- , in particular, if , then .
- (3)
- (4)
- (5)
- (6)
Proof.
(1) , first we prove that . By
we can obtain
this shows .
It is obvious that .
is proved as follows.
Suppose that . Then by , we have
that is, , so .
So
(2) can be proved from the following implications.
we can obtain .
In particular, if , then the inverse of the above implications are true. In this case, .
It is obvious that , next we prove that .
Suppose that , then . By
We can obtain .
From (1) and (2) and Theorem 2, we can obtain (3), (4), (5) and (6). □
Theorem 10.
Let F be a field, , then .
Proof.
By Theorem 4, we can obtain the following fact.
□
6. Conclusions
We define a mapping from the family of all the L-fuzzy sets on a field X to L such that each L-fuzzy set is an L-fuzzy subfield to some extent. Some equivalent characterizations are given by means of cut sets. It is proved that is L-fuzzy convex structure on X, hence forms an L-fuzzy convexity space. A homomorphism between fields is exactly an L-fuzzy convexity preserving mapping and an L-fuzzy convex-to-convex mapping. Finally we discuss some operations of L-fuzzy subsets. This method can be applied to other algebra systems, such as groups, ideals, and so on, that is, we can applied L-fuzzy convexity into L-fuzzy groups, L-fuzzy ideals, and so on. It may be further applied to the study of fuzzy topological vector space.
Author Contributions
Writing—original draft preparation, M.Z.; writing—review and editing, F.S.; supervision, L.W. All authors have read and agreed to the published version of the manuscript.
Funding
This work is supported by the funding from Heilongjiang Education Department (Nos.1355ZD009 and 1354ZD009), the National Natural Science Foundation of China (11871097), the Reform and Development Foundation for Local Colleges and Universities of the Central Government (Excellent Young Talents Project of Heilongjiang Province) (2020YQ07, ZYQN2019071), Student Science and Technology Innovation Program of Mudanjiang Normal University (kjcx2020-15mdjnu).
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
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