Abstract
The basic objective of this paper is to introduce and investigate the properties of micro semi pre border, micro semi pre kernel and micro semi pre derived set and obtain relation between some of the existing sets.
Highlights
- Introduced the concepts of micro semi-pre border, kernel, and derived sets in micro topological spaces.
- Investigated the properties and interconnections of these operators within micro topological spaces.
- Provided a foundation for future research and practical applications in mathematical and scientific fields.
1. Introduction
Levine’s introduction of generalized closed sets in 1970 [1], providing a foundational framework for subsequent developments. Lellis Thivagar [2], further expanded this framework with the introduction of nano topology, utilizing approximations and boundary regions of a subset of an universe using an equivalence relation on it to define nano closed sets, nano-interior, and nano-closure. The exploration of weak forms of nano open sets, such as nano-α-open sets, nano semi-open sets, nano pre-open sets, and nano b-open sets, was undertaken by Parimala et al. [3], adding layers of complexity to the existing theories.
In 2019, S. Chandrasekar [4], presented the concept of micro topology, which extends nano topology, emphasizing micro pre-open and micro semi-open sets. Later, Chandrasekar and Swathi [5], introduced micro α-open sets and in 2020, Hariwan Z. Ibrahim [6] introduced micro β-open sets in micro topological spaces. In this paper we introduce and study some of the properties of micro semi pre border, micro semi pre kernel and micro semi pre derived set of a set using the concept of micro semi preopen sets.
2. Preliminaries
The following outlines essential concepts and prerequisites required for the progression of this work.
Definition 2.1. [4] The micro closure of a set A is denoted by Mic-cl(A) and is defined as Mic-cl(A)=∩{B:B is micro closed and A⊆B}. The micro interior of a set A is denoted by Mic-int(A) and is defined as Mic-int(A)=∪{B:B is micro open and A⊇B}.
Definition 2.2. [6] A subset A of micro topological space U is called micro semi pre open set if A⊆Mic-cl(Mic-int(Mic-cl(A))). The complement of micro semi pre-open set is called micro semi pre-closed. The family of micro semi pre sets is denoted by Mic-β(A).
Definition 2.3. Let (U, τR(X), μR(X)) be a micro topological space and A be a subset of U. Then the micro kernel of A denoted by Mker(A) is defined to be the set Mker(A)=∩{L∈μR(X):A⊆L}.
3. Micro semi pre border
In this section, we study some properties of micro semi pre-border of a set.
Definition 3.1. Let (U, τR(X), μR(X)) be a micro topological space and A be a subset of U. Then micro semi-pre border of A is defined as Mic-βbr(A)=A-Mic-βint(A).
Example 3.2. Let U={γ,β,η,ζ}, U/R={{γ},{η},{β,ζ}}, X={η},
Consider the micro Topology μR(X)={ϕ,U,{η},{γ,ζ},{γ,β,ζ}} micro β-open set: MβO(U,X)={ϕ,U,{γ},{η},{ζ},{γ,β},{γ,η},{γ,ζ},{β,η},{β,ζ},{η,ζ},{γ,β,η},{γ,β,ζ},{γ,β,ζ},{β,η,ζ}}.
For a subset A={γ,β} then Mic-βint(A)={γ,β} and Mic-βbr(A)=∅.
Theorem 3.3. For a subset of a micro topological space (U, τR(X), μR(X)), the following statements are holds.
1. Mic-βbr(A)⊆Mic-br(A).
2. A=Mic-βint(A)∪Mic-βbr(A).
3. Mic-βint(A)∩Mic-βbr(A)=∅.
4. If A is micro β-open set the Mic-βbr(A)=∅.
5. Mic-βint(Mic-βbr(A))=∅.
6. Mic-βbr(Mic-βint(A))=∅.
7. Mic-βbr(Mic-βbr(A))=Mic-βbr(A).
8. Mic-βbr(A)=A∩Mic-βcl(U-A).
Proof. (1) By Lemma 3.3 (i) [8], we have Mic-int(A)⊆Mic-βint(A) which implies A-Mic-βint(A)⊇Mic-int(A). (i.e.,) Mic-br(A)⊇Mic-βbr(A).
(2) and (3) are immediate consequences of the definition of micro semi-pre border of A.
(4) If A is micro β-open set, then we have A=Mic-βint(A) which implies Mic-βbr(A)=∅
(5) If x∈Mic-βint(Mic-βbr(A)), then x∈Mic-βbr(A). Now, Mic-βbr(A)⊆A implies Mic-βint(Mic-βbr(A))⊆Mic-βint(A). Hence x∈Mic-βint(A) which is a contradiction to x∈Mic-βbr(A). Thus Mic-βint(Mic-βbr(A))=∅.
(6) Since Mic-βint(A) is micro β-open, it follows from (4) that Mic-βbr(Mic-βint(A))=∅.
(7)Mic-βbr(Mic-βbr(A))=Mic-βbr(A-Mic-βint(A))=(A-Mic-βint(A))-Mic-βint(A-Mic-βint(A)) which is Mic-βbr(A)-∅, by (4). Hence, Mic-βbr(Mic-βbr(A))=Mic-βbr(A).
(8) By Lemma 3.3 (v) [8], we have Mic-βint(A)=U-Mic-βcl(U-A) which implies that A-Mic-βint(A)=A-(U-Mic-βcl(U-A))=A∩Mic-βcl(U-A).
Theorem 3.4. For a subset of U, the following condition hold:
1. Mic-βbr(A)⊆Mic-βFr(A).
2. Mic-βExt(A)∩Mic-βbr(A)=∅.
Proof. (1) Since Mic-βcl(A) contains A. (i.e.,) A⊆Mic-βcl(A).
Let Mic-βbr(A)=A-Mic-βint(A)⊆Mic-βcl(A)-Mic-βint(A)=Mic-βFr(A) Hence Mic-βbr(A)⊆Mic-βFr(A).
(2) Let x∈Mic-βExt(A) i.e., x∈Mic-βint(U-A) where x∈Mic-βint(A). If A is micro β-open then A=Mic-βint(A). If A is not micro β-open then Mic-βint(A)⊂A. Therefore, in general Mic-βint(A)⊆A. Therefore x∉A-Mic-βint(A) implies x∉Mic-βbr(A). Hence Mic-βExt(A)∩Mic-βbr(A)=∅.
4. Micro semi pre kernel
In this section, we introduce and study the properties of micro semi pre-kernel of a set and obtain some of its basic results.
Definition 4.1. Let (U, τR(X), μR(X)) be a micro topological space and A be a subset of U. Then the micro semi-pre kernel of A is defined as the intersection of all micro semi-pre open sets containing A and it is denoted by Mic-βker(A) is defined to be the set Mic-βker(A)=∩{L∈MβO(X):A⊆L}.
Example 4.2. Let U={γ,β,η,ζ}, U/R={{η},{γ,β,ζ}}, X={γ}, τR(X)={ϕ,U,{γ,η}}.
Consider the micro Topology μR(X)={ϕ,U,{γ},{γ,η},{γ,β,ζ}}.
Micro β-open set: MβO(U,X)={ϕ,U,{γ},{γ,β},{γ,η},{γ,ζ},{γ,β,η},{γ,β,ζ},{γ,η,ζ}}.
For a subset A={γ,ζ} then Mker(A)={γ,β,ζ} and Mic-βker(A)={γ,ζ}.
Lemma 4.3. Let (U, τR(X), μR(X)) be a micro topological space. For subsets A, B and Aj (j∈I, where I is an index set) of a micro topological space (U, μR(X)), the following holds.
1. A⊆Mic-βker(A).
2. If A⊂B, then Mic-βker(A)⊂Mic-βker(B).
3. Mic-βker(Mic-βker(A))=Mic-βker(A).
4. If A is Mic-β-open then A=Mic-βker(A).
5. Mic-βker(⋃Aj/j∈I)⊆⋃{Mic-βker(Aj)/j∈I}.
6. Mic-βker(⋂Aj/j∈I)⊆⋂{Mic-βker(Aj)/j∈I}.
Proof. (1) It follows by the definition of Mic-βker(A).
(2) Suppose x∉Mic-βker(B), then there exists a subset K∈ micro β-open set such that K⊂S with x∉K. Since A⊂B, x∉Mic-βker(A). Thus Mic-βker(A)⊂Mic-βker(B).
(3) Follows from (1) and definition of Mic-βker(A).
(4) It follows by the definition of Mic-βker(A).
(5) For each i∈I, Mic-βker(Aj)⊆Mic-βker(⋃j∈IAj). Therefore, we have ⋃j∈I{Mic-βker(Aj)}⊆Mic-βker(⋃j∈IAj).
(6) Suppose that x∉⋂{Mic-βker(Aj/j∈I)} then there exists an j0∈I, such that x∉Mic-βker(Aj0) and there exists a micro semi pre-open set K such that x∉K and Aj0⊂K. We have ⋂j∈IAj⊆Aj0⊆K and x∉K. Therefore x∉Mic-βker{⋂Aj/j∈I}. Hence Mic-βker(⋂Aj/j∈I)⊆⋂Mic-βker(Aj)/j∈I.
Theorem 4.4. Let (U, τR(X), μR(X)) be a micro topological space. Let A and B be subsets of U, then the following conditions holds.
1. Mic-βker(A)⊆Mker(A).
2. Mic-βker(A)∩Mic-βker(B)⊂Mic-βker(A∪B).
3. Mic-βker(A∩B)⊂Mic-βker(A)∪Mic-βker(B).
4. Mic-βcl(A)∩Mic-βker(A)=A.
5. Mic-βker(A)∩Mic-βFr(A)=Mic-βbr(A).
Proof. (1) Let x∈Mic-βker(A)⇒x∈⋂{L/A⊂L,L∈Mic-β-open set}⇒x∈⋂{L/A⊂L,L∈μR(x)}.
Since every micro-open set is micro semi pre-open set, so x∈Mic-ker(A).
(2) Since A⊂A∪B and B⊂A∪B. By Lemma 4.3 (2), we have Mic-βker(A)⊂Mic-βker(A∪B) and Mic-βker(B)⊂Mic-βker(A∪B).
Therefore Mic-βker(A)∩Mic-βker(B)⊂Mic-βker(A∪B).
(3) Since A∩B⊂A and A∩B⊂B. By lemma 4.3 (2), we have Mic-βker(A∩B)⊂Mic-βker(A) and Mic-βker(A∩B)⊂Mic-βker(B).
Therefore Mic-βker(A∩B)⊂Mic-βker(A)∪Mic-βker(B).
(4) Let x∈Mic-βcl(A)∩Mic-βker(A)⇒x∈Mic-βcl(A)∩Mic-βker(A)⇒x∈A⊆Mic-βcl(A) and x∈A⊆Mic-βker(A)⇒x∈A.
Hence A=Mic-βcl(A)∩Mic-βker(A).
(5) Let x∈Mic-βker(A)∩Mic-Fr(A). To prove, x∈Mic-βbr(A). (i.e,) x∈A-Mic-βint(A).
Since by the definition of kernel and Border of a set, we have, x∈⋂{K/A⊂K,K∈Mic-PO}∩Mic-βcl(A)-Mic-βint(A)⇒x∈A∩(A-Mic-βint(A))⇒x∈A and x∈A-Mic-Pint(A)⇒x∈A and x∈Mic-Pbr(A).
Therefore, x∈Mic-Pbr(A).
Theorem 4.5. Let (U,τR(X), μR(X)) be a micro topological space. Then for any points x and y in U the following statements are:
1. Mic-βker({x})≠Mic-βker({y}).
2. Mic-βcl({x})≠Mic-βcl({y}).
Proof. (1) ⇒ (2): Suppose that Mic-βker({x})≠Mic-βker({y}) then there exist a point z in U such that z∈Mic-βker({x}) and z∉Mic-βker({y}).
From z∈Mic-βker({x} it follows that {x}∩Mic-βcl({z})=∅ which implies x∈Mic-βcl({z}).
By z∉Mic-βker({y}), we have {y}∩Mic-βcl({z})=∅.
Since x∈Mic-βcl({z}) then Mic-βcl({x})⊆Mic-βcl({z}) and {y}∩Mic-βcl({z})=∅.
Therefore Mic-βcl({x})≠Mic-βcl({y}).
(2) ⇒ (1): suppose Mic-βcl({x})≠Mic-βcl({y}). Then there exist a point z in U such that z∈Mic-βcl({x}) and z∉Mic-βcl({y}). Then there exist micro β-open set containing z and therefore x but not y. Hence y∉Mic-βker({x}). Thus Mic-βker({x})≠Mic-βker({y}).
5. Micro semi pre derived set
In this section, we introduce and study the properties of micro semi pre-derived of a set and obtain some of its basic results.
Definition 5.1 Let (U, τR(X), μR(X)) be a micro topological space and A be a subset of U. A point x∈U is said to be micro semi-pre limit point of A, if for each N∈MβO(U,X), N∩{A-{x}}≠∅. The set of all Mic-β-limit points of A is said to be the micro semi-pre derived set and is denoted by Mic-βD(A).
Example 5.2. Let U={γ,β,η,ζ}, U/R={{γ},{β},{η,ζ}}, X={γ,β}, τR(X)={ϕ,U,γ,β}.
Consider the micro Topology μR(X)={ϕ,U,{β},{γ,β},{β,η},{γ,β,η}}.
Micro β-open set: MβO(U,X)={ϕ,U,{β},{γ,β},{β,η},{γ,β,η},{γ,β,ζ},{β,η,ζ}}.
For a subset A={γ,ζ} then Mic-D(A)={ζ} and Mic-βD(A)=ϕ. Here Mic-βcl(A)={γ,ζ}.
Lemma 5.3. For a subset A of U, Mic-βclA=A∪Mic-βD(A).
Theorem 5.4. Let (U, τR(X), μR(X)) be a micro topological space. Let A and B be subsets of a space U and A⊆B. Then Mic-βD(A)⊂Mic-βD(B).
Proof. Let x∈U be the simplest point of A. By definition, for any M∈βO(U,X) such that N∩{A-{x}}≠∅. (i.e.,) N contains points of A other than x. But A⊂B, {A-{x}}⊂{B-{x}}⇒N∩{B-{x}}≠∅⇒x is also micro β-limit point of B⇒Mic-βD(A)⊆Mic-βD(B).
Theorem 5.5. Let (U, τR(X), μR(X)) be a micro topological space. Let A, C⊆U. Then the micro β-derived sets Mic-βD(A) and Mic-βD(C) have the following properties.
1. Mic-βD(∅)=∅.
2. x∈Mic-βD(A)x∈Mic-βD(A-{x}).
3. Mic-βD(A)∪Mic-βD(C)⊆Mic-βD(A∪C).
4. Mic-βD(A∩C)⊆Mic-βD(A)∩Mic-βD(C).
Proof. (i) Obvious.
(ii) Let x∈Mic-βD(A) implies x is a micro β-limit point of A. Every neighbourhood Mic-β-N(x) contains at least one point of A other than x⇒ Every Micβ-N(x) containing x contains atleast one point other than x of A-{x}⇒x is a micro β-limit point of A-{x}.
Mic-βD(A-{x}) Therefore x∈Mic-βD(A-{x}).
(iii) Since A⊂A∪C and C⊂A∪C. By theorem (5.4),
Mic-βD(A)⊂Mic-βD(A∪C),
Mic-βD(C)⊂Mic-βD(A∪C).
Therefore Mic-βD(A)∪Mic-βD(C)⊂Mic-βD(A∪C)
(iv) Since A∩C⊂A and A∩C⊂C. By theorem (5.4),
Mic-βD(A∩C)⊂Mic-βD(A),
Mic-βD(A∩C)⊂Mic-βD(C).
Therefore Mic-βD(A∩C)⊂Mic-βD(A)∩Mic-βD(C).
Lemma 5.6. Let (U, τR(X), μR(X)) be a micro topological space. Let A be a subset of U. Then Mic-βcl(A)⊇A-Mic-βD(U-A).
Proof. Let x∈A-Mic-βD(U-A)⇒x∈A but x∉Mic-βD(U-A). So there exist L∈MβO(X) with L∩(U-A)=∅⇒x∈L⊂A⇒x∈Mic-βcl(A).
Theorem 5.7. Let (U, τR(X), μR(X)) be a micro topological space. Let A⊆U. Then A∪Mic-βD(A) is Mic-β closed set.
Proof. Let A∪Mic-βD(A) will be Mic-β closed.
If U-(Mic-βD(A))=(U-A)∩(U-Mic-βD(A)). To show R.H.S is open.
Let x∈(U-A)∩(U-Mic-βD(A))⇒x∈U-A and x∈U-Mic-βD(A)⇒x∉A and x∉Mic-βD(A).
Since x∉Mic-βD(A), there exist micro β-open neighbourhood Nx of x which contains no points of A but x∉A. So Nx⊂U-A. No point of Nx can be micro β-limit point of A. So no point of Nx can belong to Mic-βD(A)⇒Nx⊂U-Mic-βD(A)⇒x∈Nx⊂U-(A∪Mic-βD(A)).
Therefore U-(A∪Mic-βD(A)) is micro β-open set.
Hence Mic-βD(A)) is micro β-closed set.
6. Discussion
The introduction of micro semi pre border, micro semi pre kernel, and micro semi pre derived set within micro topological spaces addresses several gaps in the current understanding and applications of micro topology. These developments provide a refined framework for analyzing and manipulating sets in micro topological spaces, which was previously limited by the existing definitions and properties. The ability to distinguish and work with these nuanced sets can lead to more accurate models and solutions in the following fields of engineering.
1. Signal Processing: The advanced set definitions can be applied in signal processing to improve the accuracy of signal analysis and filtering techniques.
2. Data Compression: The refined understanding of set properties aids in developing more efficient data compression algorithms, particularly in the context of high-dimensional data.
3. Network Design: In network design, these concepts can be utilized to optimize network topology and enhance the robustness and efficiency of communication protocols.
4. Robotics and Automation: The precision offered by these new developments can improve the design and control of robotic systems, particularly in navigating and interacting with complex environments.
7. Novelty
The relation between the characterization of micro semi pre-open sets, micro pre-closed sets, micro semi-pre border, micro semi -pre kernel, and micro semi-pre derived sets were shown.
8. Conclusions
In this paper, we have established and explored the notion of micro semi pre-border, micro semi pre-kernel, and micro semi pre-derived sets within micro topological spaces. We outlined the properties of these operators, highlighting the relationship between These findings not only enhance the understanding of micro topological structures but also provide a foundation for further research and applications in various mathematics and scientific fields. By introducing these operators and their properties, we have opened pathways for more comprehensive studies and practical implementations of micro topological spaces.
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About this article
The authors have not disclosed any funding.
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
Sathishmohan P: conceptualization, supervision, project administration and review; Poongothai G: Investigation, methodology, validation, visualization and original draft preparation; Rajalakshmi K: supervision, resources and review; Stanley Roshan S: resources and review.
The authors declare that they have no conflict of interest.