This paper introduces the concept of homomorphism on fuzzy hyperlattice ordered group . It studies how the binary and the fuzzy hyperoperations of a can be transformed into the binary and the fuzzy hyperoperations of another . The notion of fuzzy hypercongruence relation on is also defined. The paper also establishes the redox reaction of copper, gold and americium forms three s. Besides, homomorphism and composition function of s using the redox reactions are developed. Therefore, the paper develops a relation among three different metal’s redox reactions in which the binary and the fuzzy hyperoperations, are preserved.
As a generalization of classical algebraic structures, Marty, the French mathematician, introduced algebraic hyperstructures in 1934 [10]. Various concepts such as weak hyperstructures, hypergroups, hyperrings, hypermodules have been published under the topic algebraic hyperstructures [3–6, 29]. Hyperlattices were introduced by Konstantinidou [9] and further analysed by Rasouli and Davvaz [20], also see [21, 24–27]. Congruence on hyperstructures is studied by P. Cordero et al. [2]. Congruence relations and homomorphisms of hyperlattice were initiated by B. B. N. Koguep and C.Lele [8]. On the other hand, fuzzy mathematics was introduced by Zadeh in 1965 [30]. Extensive researchers worked on the applications and extensions of fuzzy set theory. Murali studied fuzzy congruence relations on [12]. More research topics are developed under the combination of algebraic structures and fuzzy set theory [19, 28]. Many research pieces were initiated on the fuzzy sets and the algebraic hyperstructures combination [3, 4]. As a consequence, the notion of fuzzy hyperlattice was initiated by He and Xin [18]. Preethi et al. [13–15] developed and studied and developed a biological application on .
From the beginning, the effects of oxidation-reduction (redox) reactions were identified in chemistry. The redox reactions form a system in chemistry. In brief, some entity is given or taken between two reacting chemicals. Before the nature of the reactions was clarified, the redox reactions had been put into practice. Redox reactions are the most familiar and essential chemical reactions in everyday life [11].
Objective: The main objectives of the paper are;
To extend the theory of .
To develop homomorphism function, composition function and fuzzy hypercongruence on .
To develop an application for homomorphism and composition functions of in Redox reactions.
Contribution:
Fuzzy hyperlattice ordered groups have many applications in various fields. In this paper, we extended the concept of and established the relation among three s by using the homomorphism and composition functions on . Also introduced the concept called fuzzy hypercongruence on . In addition to that, we framed s from redox reactions of three different metals. From this s, we have created relations among the redox reactions of three different metals as an application of the homomorphism and composition functions of s.
In Section 2, some basic definitions are examined. In Section 3, homomorphism function, composition function and fuzzy hypercongruence on are introduced and analysed. Section 4 has five subsections. Subsections 4.1,4.2,4.3 deals with the formation of form the redox reactions of copper, gold, americium. Subsections 4.4 and 4.5 deals with the application in chemistry using homomorphism and composition functions of fuzzy hyperlattice ordered groups.
Preliminaries
This section has recalled the fundamentals of algebraic hyperstructures, hyperlattice and fuzzy hyperlattice and that are useful for further discussions.
[5, 18] In algebraic hyperstructure, the composition of two elements forms a set. If a non-empty set and is the family of all non-empty subsets of , then consider the maps
where i ∈ {1, 2, . . . , h} and h is a positive integer. The maps gi are called (binary) hyperoperations.
Let consider a non-empty set and be the set of all non-empty subsets of . A hyperoperation on is a map , which associates a non-empty subset r ∘ q with any pair (r, q) of elements of .
If R and T are non-empty subsets of , ∀ , then
t ∘ R = {t} ∘ R = ⋃ r∈Rt ∘ r, R ∘ t = R ∘ {t} = ⋃ r∈Rr ∘ t;
.
Definition 2.1. [7, 18] Let a non-empty set with two hyperoperations “⊕” and “⊗”. The triple is called a hyperlattice if, ∀ ,
(idempotent laws) r ∈ r ⊗ r and r ∈ r ⊕ r;
(commutative laws) r ⊗ s = s ⊗ r and r ⊕ s = s ⊕ r;
(associative laws) (r ⊗ s) ⊗ t = r ⊗ (s ⊗ t) and (r ⊕ s) ⊕ t = r ⊕ (s ⊕ t);
(absorption laws) r ∈ r ⊗ (r ⊕ s) and r ∈ r ⊕ (r ⊗ s).
Definition 2.2. [24] Let consider a hyperlattice . is an ordered hyperlattice, if ≤ is a partial order relation and r ≤ s implies that
Definition 2.3. [30] Let be a set. A function is called a fuzzy relation in .
Definition 2.4. [18] Let a non-empty set with two fuzzy hyper operations ⊗ and ⊕ (Here be the set of all non-zero fuzzy subsets of . A fuzzy hyperoperation has the map ). The triple is called a fuzzy hyperlattice if, ∀ ,
(r ⊗ r) (r) >0 and (r ⊕ r) (r) >0;
(r ⊗ s) = (s ⊗ r) and (r ⊕ s) = (s ⊕ r);
(r ⊗ s) ⊗ t = r ⊗ (s ⊗ t) and (r ⊕ s) ⊕ t = r ⊕ (s ⊕ t);
(r ⊗ (r ⊕ s)) (r) >0 and (r ⊕ (r ⊗ s)) (r) >0.
Note: [18] If R and T are two non-zero fuzzy subsets, ∀ , then
, .
.
Example 1. Let be a lattice. If the fuzzy hyperoperations on defined by r × s = χ{r,s} and r + s = χr∧s, ∀ then is a fuzzy hyperlattice.
Definition 2.5. [1] Let is a lattice ordered group, such that
is a group,
is a lattice,
l ≤ m ⇒ r + l + s ≤ r + m + s ∀ .
Definition 2.6. [28] A non-empty set is called a fuzzy lattice ordered group if
is a group,
is a fuzzy lattice,
R (r + (s ∨ t) , (r + s) ∨ (r + t)) =1, ∀ .
Here is a fuzzy partial order relation.
Definition 2.7. [13] A non-empty set is called a fuzzy hyperlattice ordered group if
is a group,
is a fuzzy hyperlattice,
R [{r} + (s ⊕ t) , {r + s} ⊕ {r + t}] =1 and R [{r} + (s ⊗ t) , {r + s} ⊗ {r + t}] =1,
∀ . Here is a fuzzy partial order relation.
Homomorphism on fuzzy hyperlattice ordered group
This section initiated the homomorphism function, kernal, composition function, fuzzy equivalence relation, fuzzy hypercongruence relation, and kernal relation on . Also, some theorems, which helps to analyse the concepts, were developed.
Throughout this paper, *1, * 2, * 3 are binary operations; ⊕1, ⊕ 2, ⊕ 3, ⊗ 1, ⊗ 2, ⊗ 3 are fuzzy hyperoperations.
Definition 3.1. Let and be two s. A map is a weak homomorphism of s. If,
, .
, .
, .
Definition 3.2. Let and be two s. A map is a homomorphism of s. If,
, .
, .
, .
Remark 1.
If the homomorphism of s is surjective then is an epimorphism of s.
If the homomorphism is injective of s then is an monomorphism of s.
If the homomorphism is bijective of s then is an isomorphism of s.
Example 2. (i) Let the set forms a group under addition. The structure with the fuzzy hyperoperations defined by p ⊕ 1q = χ{p,q} and , and is a fuzzy partial order relation.
Here is an example of .
(ii) Let the set and it forms a group under multiplication.
The structure with the fuzzy hyperoperations defined by p ⊕ 2q = χ{p,q} and , and is a fuzzy partial order relation.
Here is an example of .
Now consider (i),(ii) of Example 2 and a map and the map defined by,
is a homomorphism of s.
Proof.,
(i) For p & q are even:
For p & q are even & odd:
For p & q are odd:
∴ , .
(ii)For p & q are even:
.
.
For p & q are even & odd:
.
.
For p & q are odd:
.
.
∴ , .
(iii)For p & q are even:
.
.
For p & q are even & odd:
.
.
For p & q are odd:
.
.
∴ , . □
Proposition 3.3.Let be a homomorphism from a to a and let . Then, . Here e1 & e2 are the identities of & respectively.
Definition 3.4. Let and be two s. The map is the homomorphism of s then the kernal of is defined by ker where e2 is the identity element of .
Theorem 3.5.Every Isomorphism of s is a homomorphism of s with .
Theorem 3.6.The homomorphism composition of s is a homomorphism of . (i.e.,) If and are homomorphisms of s, then the composition function is a homomorphism of s.
Proof. Let , and be three s. The proof is straight forward, , we have (i)
(ii)
(iii) Similarly . ∴ The homomorphism composition of s is a homomorphism of . □
Definition 3.7. Let is a . A fuzzy partial order relation R on is a fuzzy subset (i.e., ). Consider a fuzzy relation ω on is a fuzzy subset of (i.e., ). Now the fuzzy relation ω is said to be a fuzzy equivalence relation on , if,
(i)
(ii)ω (q, p) = ω (p, q)
(iii)
In order to develop fuzzy hypercongruence on , , we need the following notion,
For any ,ω be a fuzzy equivalence relation on , we say if,
∀, p ∈ M, ∃ q ∈ N such that pωq; ∀, r ∈ N, ∃ s ∈ M such that rωs.
∀ , if M (p) >0 then such that N (q) >0 and pωq; ∀ , if N (r) >0 then such that M (s) >0 and rωs.
Definition 3.8. Let is a . The equivalence relation ω on is said to be a fuzzy hypercongruence relation on if for all, , pωp′ and qωq′, ⇒ ; ; .
Theorem 3.9.Let is a and let ω be a fuzzy hypercongruence relation on , then, (i)[p] ω * [q] ω ⊆ [p * q] ω. (ii) [p] ω ⊗ [q] ω ⊆ [p ⊗ q] ω. (iii) [p] ω ⊕ [q] ω ⊆ [p ⊕ q] ω. Where [p] is an equivalence class of p.
Proof. (i) Let m ∈ [p] ω * [q] ω then, ∃ m1 ∈ [p] ω and m2 ∈ [q] ω such that m ∈ m1 * m2. Since, pωm1, qωm2, By Definition 3.8 So, m ∈ m1 * m2 ∃ n ∈ p * q such that mωn ⇒ m ∈ [p * q] ω. ∴ [p] ω * [q] ω ⊆ [p * q] ω. (ii) Let m1 ∈ [p] ω and m2 ∈ [q] ω. (i.e., and . Now consider ([p] ω ⊗ [q] ω) (m1) >0 Let m1 = p, m2 = q and for some , Sup(([p′] ω ⊗ [q′] ω) (p) |m1 = p) ≥ ([p] ω ⊗ [q] ω) (m1) >0. ⇒ Sup(([p′] ω ⊗ [q′] ω) (p)) >0. ∴ ∀, if ([p] ω ⊗ [q] ω) (m1) >0 then ∃ such that (([p′] ω ⊗ [q′] ω) (p)) >0 and pωm1. Similarly, ∀, if ([p] ω ⊗ [q] ω) (m2) >0 then ∃ such that (([p′] ω ⊗ [q′] ω) (q)) >0 and qωm2. By fuzzy hypercongruence relation we have, (1) Now suppose, m ∈ [p] ω ⊗ [q] ω and m1 ∈ [p] ω and m2 ∈ [q] ω such that m ∈ m1 ⊗ m2 ∃ n ∈ p ⊗ q such that mωn, (by (1)) ⇒ m ∈ [p ⊗ q] ω ∴ [p] ω ⊗ [q] ω ⊆ [p ⊗ q] ω. Similarly, [p] ω ⊕ [q] ω ⊆ [p ⊕ q] ω. □
Definition 3.10. Let and be two s. The map is the homomorphism of s. The kernal relation on is defined as, iff i.e., ker
Lemma 3.11. Let and be two s. The map is the homomorphism of s. Then ker is an equivalence relation on . i.e., pωq iff , .
Theorem 3.12.The kernal relation of any homomorphism between s is a fuzzy hypercongruence relation.
Proof. Let and be two s. The map is the homomorphism of s. . Let pωp′ and qωq′ then and . Let m ∈ (p * 1q) then
⇒ ∃ m′ ∈ (p′ * 1q′) such that (i.e.,) ∃ m′ ∈ (p′ * 1q′) such that mωm′. Similarly, for n ∈ (p′ * 1q′) ∃ n′ ∈ (p * 1q) such that nωn′. ∴ . Now,
⇒ (p ⊗ 1q) ω (p′ ⊗ 1q′). , let (p ⊗ 1q) (m) >0 then . ∴ ⇒ . This means such that (p′ ⊗ 1q′) (m′) >0 and . ⇒ (p′ ⊗ 1q′) (m′) >0 and mωm′. Conversely, . Let (p′ ⊗ 1q′) (n) >0 then there exists such that (p ⊗ 1q) (n′) >0 and nωn′. Hence Similarly, □
Application using redox reactions
An oxidation-reduction reaction is otherwise called a redox reaction. Redox reaction is a chemical process that involves the transfer of electrons between two reacting species. The redox reactions can occur over a wide range of chemical reactions encountered in the various industrial processes and day-to-day life [11].
This section deals with the application of in redox reactions. Also demonstrates how the application of homomorphism and composition functions on helps to frame a relation among the redox reactions of different metals.
Principle of Redox reactions: Most redox reaction processes involve the transfer of electrons, hydrogen atoms, or oxygen atoms with all three processes sharing the following two characteristics: (1) In oxidation reaction a reciprocal reduction occurs, i.e., They are coupled and (2) Electron goes from one unit of matter to another, i.e., a characteristic net chemical change. The reciprocity and the net change are the essential and fundamental aspects of a redox reaction.
from redox reaction on Copper
Copper is a ductile metal with high electrical and thermal conductivity. It is a conductor of electricity and heat. It is a building material and a significant ingredient of several metal alloys [23]. It has four oxidation states 0,1,2,3. All possible products in reactions between u oxidation states are shown in Table 1.
Redox reaction on
∘
Now consider the following relations,
α1: ↔ ↔ β1: ↔ ↔ γ1: ↔ ↔ . e1: Equivalent to itself. Let .
Here, *1 is the binary operation. By Table 2, forms a group under *1. Let the fuzzy hyperoperations for all defined by
If α1 ⊕ 1β1, then α1 ⊕ 1β1= χ{α1,β1} (x), for all . Similarly if γ1 ⊕ 1β1, then γ1 ⊕ 1β1 = χ{γ1,β1} (x), for all . Likewise for all elements in .
If α1 ⊗ 1β1, then α1 ⊗ 1β1= , for all . Similarly if γ1 ⊗ 1β1, then , . Likewise for all elements in .
and is a fuzzy partial order relation. Now the structure, satisfies the following conditions, ∀ ,
Gold is a malleable,soft, dense, shiny and ductile metal. This chemical element is the least reactive [23]. It has four oxidation states 0,1,2,3. All possible products in reactions between u oxidation states are shown in Table 3
Redox reaction on
∘
Now consider the following relations, α2: ↔ ↔ β2: ↔ ↔ γ2: ↔ ↔ . e2: Equivalent to itself. Let .
Here, *2 is the binary operation. By Table 4, forms a group under *2.
Binary operation *2
*2
e2
α2
β2
γ2
e2
e2
α2
β2
γ2
α2
α2
e2
γ2
β2
β2
β2
γ2
e2
α2
γ2
γ2
β2
α2
e2
Now the fuzzy hyperoperations for all defined by
If α2 ⊕ 2β2, then α2 ⊕ 2β2= χ{α2,β2} (x), for all . Similarly if γ2 ⊕ 2β2, then γ2 ⊕ 2β2 = χ{γ2,β2} (x), for all . Likewise for all elements in .
If α2 ⊗ 2β2, then α2 ⊗ 2β2= , for all . Similarly if γ2 ⊗ 2β2, then , . Likewise for all elements in .
is a fuzzy partial order relation. Here is an example of .
from redox reaction on Americium
In actinide series, Americium is a transuranic radioactive chemical element. Naturally, Americium occurs in uranium minerals [23]. It has four oxidation states 0, 2, 3 and 4. All possible products in reactions between m oxidation states are shown in Table 5
Redox reaction on
∘
Now consider the following relations, α3: ↔ ↔ β3: ↔ ↔ γ3: ↔ ↔ . e3: Equivalent to itself. Let .
Here, *3 is the binary operation. By Table 6, forms a group under *3.
Binary operation *3
*3
e3
α3
β3
γ3
e3
e3
α3
β3
γ3
α3
α3
e3
γ3
β3
β3
β3
γ3
e3
α3
γ3
γ3
β3
α3
e3
Let the fuzzy hyperoperations for all defined by
If α3 ⊕ 3β3, then α3 ⊕ 3β3= χ{α3,β3} (x), for all . Similarly if γ3 ⊕ 3β3, then γ3 ⊕ 3β3 = χ{γ3,β3} (x), for all . Likewise for all elements in .
If α3 ⊗ 3β3, then α3 ⊗ 3β3= , for all . Similarly if γ3 ⊗ 3β3, then , . Likewise for all elements in .
and is a fuzzy partial order relation. Here is an example of .
Homomorphism of two s:
Now consider the s of Subsections 4.1, 4.2, 4.3 and a map and the map defined by, , , and (i) ∴ . (ii)
∴ . (iii)
∴ . Similarly the map defined by, , , and is a homomorphism of two s and
Composition of three s:
By Subsections 4.1, 4.2, 4.3, , and are s. By Subsection 4.4, the maps and are the homomorphisms of . Now consider the composition function, , , we have (i)
(ii)
(iii) Similarly . ∴ The homomorphism composition of s is a homomorphism of . Observation:s were developed using the redox reactions on copper, gold and americium. Homomorphisms and composition function were also studied for the s obtained from the redox reactions on copper, gold and americium. Through which, it was possible to relate three redox reactions of entirely three different metals. By experimenting this, it was also possible to relate one application of with another application of .
Conclusion
This paper has achieved the extension of by introducing homomorphism function, composition function and fuzzy hypercongruence of s. An application using homomorphisms and composition function of s has also been obtained from the redox reaction of three different metals such as copper, gold and americium. As future work, the researchers planned to frame an algorithm using , which helps to broader the application of in real life.
Footnotes
Acknowledgments
The article has been written with the joint support of RUSA-Phase 2.0 grant sanctioned vide letter No.F 24-51/2014-U, Policy (TN Multi-Gen), Dept. of Edn. Govt. of India, Dt. 09.10.2018, UGC-SAP (DRS-I) vide letter No.F.510/8/DRS-I/2016 (SAP-I) Dt. 23.08.2016, DST-PURSE 2nd Phase programme vide letter No. SR/PURSE Phase 2/38 (G) Dt. 21.02.2017 and DST (FST - level I) 657876570 vide letter No.SR/FIST/MS-I/2018/17 Dt. 20.12.2018.
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