On Fuzzy Regularly Closed Filters in Michálek Fuzzy Topological Space ()
1. Introduction
A topological space
that incorporates a dense subspace
is referred to as an extension of
. This concept is pivotal in topology, as it allows researchers to explore the properties of
within a larger framework. The study of extensions, particularly through the lens of compactification [1], has garnered significant attention among topological researchers.
The construction of extension points often leverages ultrafilters on various lattices associated with
. An ultrafilter can be thought of as a special type of filter that captures the notion of “largeness” in a precise way, facilitating the identification of limit points and compactifications. This area of study gained momentum following the introduction of Stone Ĉech Compactification in the 1930s, a landmark result that set the stage for extensive research into different forms of compactification and extension. Scholars have since built on this foundation, exploring various methods and implications of extending spaces.
In parallel with extensions, the concept of Absolutes [2] has emerged as a crucial dual notion in topology. Construction of absolutes of space often involves the use of ultrafilters on lattices connected to
. While extensions and Absolutes may appear to be fundamentally opposite, they share a common toolset. Both are constructed using ultrafilters on lattices, illustrating the rich interplay between these concepts.
In 1968, C. L. Chang [3] introduced the notion of Fuzzy Topology, marking a significant shift in topological theory. Fuzzy topology provides a framework to incorporate the concept of vagueness into topological spaces, thus allowing for a more nuanced understanding of continuity and convergence. This innovation opened avenues for researchers to parallelly develop theories that adapt regular topology principles to accommodate fuzzy sets and spaces [4]-[7].
Subsequently, in 1975, J. Michálek [8] developed and studied a more generalized form of fuzzy topological space that deviates from Chang’s original definition. Michálek’s approach sought to broaden the conceptual landscape of fuzzy topology, introducing a new paradigm that defines fuzzy topological spaces in terms of functions, which allowed for greater flexibility and application in various contexts.
In 2001, Francisco Galligo Lupranez [9] explored several features of Michálek’s fuzzy topological space, contributing to a deeper understanding of its properties and potential applications. Additionally, the concept of fuzzy filters was first proposed by M. A. De Prade [10] in 1981, building on Chang’s fuzzy topology. This idea was further examined by Francisco Galligo Lupranez [11], who analysed filters within the framework established by Michálek.
As a prerequisite for constructing the Fuzzy Absolute in the Michálek sense, we introduce
filters and
ultrafilters. P. R. Neethu [12] has already introduced
sets, laying the groundwork for further research. This ongoing exploration continues to enrich the field of topology, blending traditional ideas with innovative approaches to expand our understanding of complex spatial relationships.
2. Preliminaries
This section includes the basic ideas required for the subsequent results in the present article.
Michálek made notable contributions by developing a more generalized form of fuzzy topological space that diverged from Chang’s original definition. Michálek’s framework was designed as an extension of conventional topological spaces, introducing a novel approach that defines fuzzy topological spaces in terms of functions. This new perspective allowed for greater flexibility and broadened the applications of fuzzy topology.
Definition 2.1 [8]: Consider a nonvoid set
and its power set
, the function
satisfies the conditions below
1) If a subset
of
is either empty or singleton, then
.
2) If
are two different subsets of
, then
Then the pair
is a topological space.
Definition 2.2 [8]: Let
be the collection of all fuzzy sets on
and
, a function from
to
such that
1)
for every
in
,
is any subset of
.
2)
where subset
of
contains at most one element.
3)
,
,
are any two subsets of
.
Then the pair
is a fuzzy topological space.
Note 2.3: Unless otherwise stated
or simply
is a Michálek fuzzy topological space or in short M-fuzzy topological space.
Definition 2.4 [8]: Consider M-fuzzy topological space and the subset
of
. Then the
1) Fuzzy Interior of
denoted by
is defined as
.
2) Fuzzy Boundary of
denoted by,
is defined as
.
Definition 2.5 [8]: An ordinary subset
of
is said to be Fuzzy closed in
if
for every
in
and
is Fuzzy open in
if
forevery
in
.
Note 2.6 [8]: A subset
of
is fuzzy closed whenever
and fuzzy open whenever
.
Definition 2.7 [12]: Consider the M-fuzzy topological space
. Then
1)
is fuzzy closed whenever
for some fuzzy closed subset
of
.
2)
is fuzzy open whenever
for some fuzzy open subset
of
.
Definition 2.8 [12]:
1) for
, closure of
is defined as which is equivalent to
to each
in
where
is fuzzy closed in
.
2) for
, interior of
is defined as,
which is equivalent to
to each
in
where
isfuzzy open in
.
Definition 2.9 [12]: For any fuzzy closed subset
of
1) M-fuzzy closure of
denoted by
is defined as
.
2)
is M-fuzzy regularly closed if it satisfies the condition
.
Note 2.10 [12]: Set of all M-fuzzy regularly closed set in
is denoted as
.
Definition 2.11 [12]: For any fuzzy open subset
of
,
is M-fuzzy regularly open whenever
.
Note 2.12 [12]: Set of all M-fuzzy regularly open sets in
is denoted as
.
Definition 2.13 [12]: For any two members
of
,
if it satisfies the condition
for each
in
. Then “
” gives a partial order on
and hence
is a poset.
If C and D are any two M-fuzzy regularly closed sets in
then
is M-fuzzy regularly closed but their intersection need not be M-fuzzy regularly closed.
Theorem 2.14 [12]:
is a complemented lattice with
for
.
Theorem 2.15 [12]:
is a complete lattice.
Definition 2.16 [11]: A nonvoid family
of
is a filter on
whenever
satisfies the conditions below
i) All members of
be nonvoid.
ii) Intersection of any two sets in
is in
.
iii) Supersets of members in
is in
.
3.
Filters
Definition 3.1: A non-empty subset
of
is said to be an M-fuzzy regularly closed filter or in short
filter if it satisfies the conditions below
i)
and
such that
imply
;
ii)
implies
;
iii)
.
Definition 3.2: If
and
are
filters on
,
is finer than
if and only if
. An
filter
on
is an
-ultrafilter if there is no other
-filter finer than
.
Note 3.3: Zorns lemma guaranteed the existence of
ultra filters.
Definition 3.3: Suppose
is an
-filter on
. Then a crisp regularly closed subset
of
is said to be subsumed in
whenever every M-fuzzy regularly closed subset of
with support
belongs to
.
Theorem 3.4: If
is an
-filter on
then the below conditions imply each other.
i)
is an
ultrafilter.
ii) Let
. If
then there is some
such that
.
iii) Let
be a regularly closed subset of
. Then either
or
is subsumed in
where
.
Proof.
i)
ii)
Let
. If
for every
the collection
is a base for an
-filter which is finer than
, contradicting i). Therefore there exists at least one
such that
.
ii)
iii)
Let
be a regularly closed subset of
. Suppose both
and
were not subsumed in
. Therefore, there exist
with supports
and
respectively such that both do not belong to
. By part ii) if
, there exist a
such that
. Similarly, there is a
such that
. Suppose
. Therefore
for every
. So
for every
. Suppose
.
Therefore
for every
. So
for every
. Therefore
for every
. That is,
which is not possible since
. Therefore either
or
is subsumed in
.
iii)
i)
If
is not an
ultrafilter, let
.
Let
such that
and suppose
.
That is
and hence
is not subsumed in
. Hence by iii)
is subsumed in
. That is any
set
with support
belongs to
and hence in
. Therefore
which is not possible since
. Therefore
is an
ultrafilter.
That is
in
.
4. Application
Some features of topology are consistently maintained through perfect continuous mappings. Therefore, when a space
exhibits a new topological property
, we need to identify a space that is either a perfect continuous image of
or can be mapped onto
by a perfect continuous surjection. If we find such a space, we can investigate its properties and infer characteristics of
from it. The absolute of
is a well-structured space that facilitates this process, as there exists a perfect surjection from the absolute to
. In constructing the absolute, the points correspond to ultrafilters on the lattice of regularly closed subsets of
. A similar approach can be applied in fuzzy topology, as introduced by Michálek, where
ultrafilters serve as the points of fuzzy absolutes in Michálek’s framework, creating a space that can be easily handled effectively.
5. Conclusion
By investigating absolutes and ultrafilters, mathematicians gain valuable insights into the characteristics of
and its properties. The introduction of fuzzy topology adds further complexity and depth, enhancing the dynamic nature of the study of topology. Additionally, filters and ultrafilters play a crucial role not only in theoretical topology but also as practical tools for constructing and analysing diverse topological spaces. Their applications in areas such as convergence, compactness, and quotient topology highlight their versatility and importance in the field. This ongoing exploration not only deepens our mathematical knowledge but also opens up practical avenues in fields such as topological data analysis.