Abstract
The concepts of soft faint continuity as a weaker form of soft weak continuity and soft faint -continuity as a weaker form of soft weak -continuity are introduced. Numerous characterizations of them are given. We further demonstrate that, under soft restrictions, they are retained. Moreover, we show that a soft function is soft faintly continuous (respectively, soft faintly -continuous) if its soft graph function is soft faintly continuous (respectively, soft faintly -continuous). In addition, we show that a soft function with a soft almost regular (respectively, soft extremally disconnected) co-domain is soft faintly continuous iff it is soft almost continuous (respectively, soft -continuous). Furthermore, we show that soft faintly continuous surjective functions are soft set-connected functions, and as a corollary, we demonstrate how soft faintly continuous functions sustain soft connectivity. Finally, we studied the symmetry between our new notions and their topological counterparts.
1. Introduction and Preliminaries
Mathematical modeling of uncertainty is vital for solving complex issues in fields such as economics, environmental science, engineering, medicine, and the social sciences. Other theories, such as fuzzy set theory [1], rough set theory [2], and probability theory, are effective for dealing with uncertainty and ambiguity, but each has limitations. A common shortcoming among these mathematical strategies is a lack of parametrization equipment.
Molodtsov [3] created the soft set theory in 1999 to address issues with the aforementioned uncertainty management approaches. Soft sets, or parameterized universe possibilities, were postulated. The interpretation of sets for modeling uncertainty was described in [4] and further refined in [5]. The relationship between parameter sets and soft sets provides a standardized framework for modeling uncertain data. This has led to rapid advancements in soft set theory and related topics, as well as practical applications (see [6,7,8,9,10,11,12]).
Shabir and Naz [13] created a soft topology over a family of soft sets to build one over a certain set of parameters. Shabir and Naz demonstrated that soft topological notions are similar to those in classical topology, inspiring more study in this area. Since the inception of soft topology, there have been several contributions to the study of topological ideas in soft settings ([14,15,16,17,18,19] are some of the recent). Majumdar and Samanta [20] discussed mappings on soft sets and their use in medical diagnostics. Kharal and Ahmed [21] introduced the concept of soft mapping with attributes, and [22] proposed soft continuity for soft mappings.
The literature reviews in [23,24,25,26,27,28,29,30,31] include numerous research papers on soft continuity and its characterizations.
Soft topology is an extension of classical topology that has various benefits. Soft topology has several advantages over traditional topology, including the following: (1) Compared to traditional topology, soft topology allows for greater flexibility in defining open sets. In classical topology, open sets are defined as subsets of a given set that meet specific requirements. In soft topology, open sets are defined by a collection of parameters or functions that give each point a certain amount of openness. This variety allows inquiry into a greater range of topological structures. (2) The soft topology structure provides better accuracy in identifying open sets. Classical topology often works with binary concepts such as open and closed sets, but soft topology allows for the introduction of intermediate degrees of openness. This provides more detailed knowledge about topological spaces and their properties. (3) Soft topology has a broad domain, which includes classical topology as an example. Soft topology expands the spectrum of topological structures by reducing the stringent limitations of classical topology, making it a great instrument for comprehending more complicated and diverse situations. (4) Researchers have employed soft topology in various domains, including computer science, image processing, fuzzy logic, and decision making, since it can best express uncertainty and imprecision. (5) As an effective mathematical modeling technique for dealing with uncertain or ambiguous data, soft topology plays an important role in encoding and analyzing imprecise data, which are frequently encountered in real-world problems. This confirms its usefulness for decision making and problem solving in a variety of disciplines.
Soft topology and other branches of mathematics have conducted substantial studies on soft continuity. Soft continuity is widely used in several fields, including soft topological models, data modeling, engineering, science, economics, and business. Scientists have paid close attention to this area. This motivated us to write this paper.
In this paper, the concepts of soft faint continuity as a weaker form of soft weak continuity and soft faint -continuity as a weaker form of soft weak -continuity are introduced. Numerous characterizations of them are given. We further demonstrate that, under soft restrictions, they are retained. Moreover, we show that a soft function is soft faintly continuous (respectively, soft faintly -continuous) if its soft graph function is soft faintly continuous (respectively, soft faintly -continuous). In addition, we show that a soft function with a soft almost regular (respectively, soft extremally disconnected) co-domain is soft faintly continuous iff it is soft almost continuous (respectively, soft -continuous). Furthermore, we show that soft faintly continuous surjective functions are soft set-connected functions, and as a corollary, we demonstrate how soft faintly continuous functions sustain soft connectivity. Finally, we examine the relationships between our soft topological concepts and their general topological counterparts.
Let M be a set of parametersand R be an initial universe. A soft set over R relative to M is a function , where is the power set of R. The collection of soft sets over R relative to M is denoted by . Let . If there exist and such that and for all , then G is called a soft point over R relative to M and denoted by . The collection of all soft points over R relative to M is denoted by . G is called a soft subset of H (notation: ) if for all . If for every , then G is called the null soft set over R relative to M and denoted by . If for all , then G is called the absolute soft set over R relative to M and denoted by . If for some and , and for all , then G will be denoted by . If for some , for all , then G is denoted by . If , then is said to belong to G (notation: ) if .
Soft topological spaces were defined in [13] as follows: A triplet , where , is called a soft topological space if , , and is closed under finite soft intersections and arbitrary soft unions.
Let be a soft topological space, and let . Then G is called a soft open set in if . The soft complements of the members of are called soft closed sets in . The family of all soft closed sets in is denoted by . G is called a soft clopen set in if . The family of all soft clopen sets in is denoted by . The soft interior and the soft closure of G in are denoted by and , respectively.
Let be a TS, and let . The family of all closed sets in is denoted by . U is called a soft clopen set in if . The family of all clopen sets in is denoted by . The soft interior and the soft closure of U in are denoted by and , respectively.
In this research, the terminologies and concepts utilized in [25,32,33] are applied, and topological space and soft topological space will be referred to as TS and STS, respectively.
We will now go over some of the notions that will be used in the remainder of this paper.
Definition 1.
Let be a TS and let . Then
(a) [34] U is called a θ-open set in if for every , there exists such that . The family of all θ-open sets in is denoted by .
(b) [35] is called set-connected between its subsets V and W if there is no such that and .
It is well known that and in general.
Definition 2.
A function is called
(a) [36] weakly continuous if for each and such that , there exists such that and ;
(b) [37] faintly continuous (FC, for short) if for each and such that , there exists such that and ;
(c) [38] faintly -continuous (F--C, for short) if for each and such that , there exists such that and .
Definition 3
([39]). A soft set G of an STS is called a soft regular open set in if . The collection of all soft regular open sets in an STS will be denoted by .
will denote the soft topology having as a soft base.
Definition 4.
An STS is called
(a) [40] soft connected if ;
(b) [41] soft extremally disconnected if for all ;
(c) [42] soft set-connected between its soft subsets G and H if there is no such that and ;
(d) [43] soft almost regular if for every and every such that , there exists such that .
Definition 5.
A soft function is called
(a) [44] soft weakly continuous if for each and such that , there exists such that and ;
(b) [45] soft almost continuous if for each and such that , there exists such that and ;
(c) [46] soft θ-continuous if for each and such that , there exists such that and ;
(d) [47] soft δ-continuous if for each and such that , there exists such that and ;
(e) [48] soft weakly -continuous (W--C) if for each and such that , there exists such that and .
Definition 6
([46]). Let be an STS and let . Then G is called a soft θ-open set in if for every , there exists such that . The family of all soft θ-open sets in is denoted by .
It is well known that and in general.
2. Soft Faint Continuity
Definition 7.
A soft function is called soft faintly continuous (soft FC, for short) if for each and such that , there exists such that and .
Theorem 1.
For a soft function , T.F.A.E.:
(a) is soft FC.
(b) for every .
(c) is soft continuous.
(d) for each .
(e) for every .
(f) for every .
Proof.
(a) ⟶ (b): Let and let . Then , and by (a), there exists such that and . Hence, . Therefore, .
(b) ⟶ (c): Obvious.
(c) ⟶ (d): Let . Then , and by (c), . Hence, .
(d) ⟶ (e): Let . Then and by (d), and so . Since , .
(e) ⟶ (f): Let . Then, by (e), .
But,
and
Thus, and hence, .
(f) ⟶ (a): Let and such that . Then . Thus, by (f), and thus, . Therefore, , and hence, . Put . Then such that and . Therefore, is soft FC. □
Theorem 2.
Let and be two collections of TSs. Let and be two functions, with u being a bijection. Then is soft FC iff is FC for all .
Proof.
Necessity. Let be soft FC. Let . Let . Then, according to Theorem 2.21 of [25], . Thus, . Since is injective, . Therefore, . This implies that is FC.
Sufficiency. Let be FC for all . Let . Then, by Theorem 2.21 of [25], for all . For every , is FC, and thus . Hence, for each , . Therefore, . This implies that is soft FC. □
Corollary 1.
Let be a function between two TSs, and let be a bijective function. Then is FC iff is soft FC.
Proof.
For each and , put and . Then and . Thus, Theorem 2.3 yields the result that is desired. □
Theorem 3.
Every soft weakly continuous function is soft FC.
Proof.
Let be soft weakly continuous. Let and such that . Then there exists such that . Since is soft weakly continuous, there exists such that and . Consequently, is soft FC. □
The opposite of Theorem 3 is not always true.
Example 1.
Let , , , , and . Define and as follows:
, , and for all .
Note that . Suppose that p is weakly continuous. Then we find such that and . Therefore, and . Hence, p is not weakly continuous. On the other hand, it is not difficult to check that and thus p is FC.
Therefore, by Corollary 2.4 and Corollary 3.4 of [49], is soft FC but not soft weakly continuous.
Theorem 4.
Let be an STS. If , then there exists such that .
Proof.
Let and let . Then there exists such that , and so . Put . Then and . □
Corollary 2.
For any STS , .
Theorem 5.
If is soft almost regular, then .
Proof.
Suppose that is soft almost regular. Let and let . Since is soft almost regular, by Theorem 3.4 (ii) of [43], there exists such that . Hence, . □
Corollary 3.
If is soft almost regular, then .
Corollary 4.
If is soft almost regular, then .
Proof.
The proof follows from Corollaries 2.8 and 2.10. □
Theorem 6.
If is a soft FC function where is soft almost regular, then is soft almost continuous.
Proof.
Let be soft FC where is soft almost regular. Since is soft almost regular, by Corollary 2.11, . Thus, by Theorem 1 (b) and Theorem 3.8 (b) of [45], it follows that is soft almost continuous. □
Lemma 1.
For any soft topological space and any , .
Proof.
Let . Then and so . To show that , suppose to the contrary that there exists . Since , . Choose . Since , then , which is a contradiction. □
Theorem 7.
Every soft almost continuous function is soft θ-continuous.
Proof.
Let be soft almost continuous. Let and let such that . Then there exists such that and .
Claim 1.
.
Proof.
Suppose, to the contrary, that there exists such that . Since is soft almost continuous, there exists such that and . Since, by Lemma 1, , then . Since , then . Choose . Since , then . On the other hand, since , then . Therefore, , which is a contradiction. □
The above Claim ends the proof of the theorem.
Theorem 8.
Let be a soft function. Then
(a) If is soft δ-continuous, then is soft almost continuous.
(b) If soft θ-continuous, then is soft weakly continuous.
Proof.
(a) Let be soft -continuous. Let and let such that . Then there exists such that and . Thus, is soft almost continuous.
(b) Let be soft -continuous. Let and let such that . Then there exists such that and . Thus, is soft weakly continuous. □
Corollary 5.
Let be a soft function where is soft almost regular. Then T.F.A.E.:
(a) is soft almost continuous.
(b) is soft θ-continuous.
(c) is soft weakly continuous.
(d) is soft FC.
Proof.
The proof follows from Theorems 3 and 6–8. □
Theorem 9.
If is a soft FC function, then for any nonempty subset , is soft FC.
Proof.
Let . Since is soft FC, by Theorem 1 (b), and so . Hence, again by Theorem 1 (b), is soft FC. For any function , the function defined by will be denoted by . □
Lemma 2.
If and , then for any and , .
Proof.
iff iff and iff . □
Theorem 10.
Let and be two STSs, and let be the soft product soft topology between them. Then for any and , we have .
Proof.
Let and , and let . Since , and . Thus, there exist and such that and . Therefore, we have and
.
Hence, . □
Theorem 11.
Let be a soft function. If is soft FC, then is soft FC.
Proof.
Let . Since , by Theorem 2.19, . Since is soft FC, by Theorem 1 (b), . By Lemma 2, , and hence . Thus, again by Theorem 1 (b), is soft FC. □
Theorem 12.
If is a soft weakly continuous function, then is soft FC.
Proof.
Suppose that is a soft weakly continuous function. Let and let such that . Then there exists , such that . Choose and such that . Since is soft weakly continuous and , there exists such that and . Consequently, . It follows that is soft FC. □
Theorem 13.
If is soft almost continuous, then is soft continuous.
Proof.
Suppose that is soft almost continuous. Let and let . Then . Thus, by Theorem 4, there exists such that . Thus, we have . Since is soft almost continuous, by Theorem 3.8 of [45], and . Hence, we have and
.
This shows that . □
Corollary 6.
If is soft continuous, then is soft continuous.
Theorem 14.
A softfunction is soft FC iff is soft FC.
Proof.
Necessity. Let be soft FC. Let . Let and be the identities. Since , is soft continuous. Thus, by Corollary 6, . Since is soft FC, . This ends the proof.
Sufficiency. Let be soft FC. Let . Let and be the identities. Then, by Theorem 3.8 of [45], is soft almost continuous. Thus, by Theorem 13, . Since is soft FC, . This shows that is soft FC. □
3. Soft Set-Connected Functions
Theorem 15.
Let be a TS. Then, for any set M, is set-connected between V and W iff is soft set-connected between and .
Proof.
Necessity. Let be set-connected between V and W. Suppose, on the contrary, there is such that . Pick . Then we obtain such that . Therefore, is not set-connected between V and W. This is a contradiction.
Sufficiency. Let be soft set-connected between and . Suppose, on the contrary, there is such that . Then we have such that . Therefore, is not soft set-connected between and . This is a contradiction. □
Theorem 16.
Let and be surjective functions. Then is set-connected iff is soft set-connected.
Proof.
Necessity. Let be set-connected. Let be soft set-connected between and . Then, by Theorem 15, is set-connected between and . Since is set-connected, is set-connected between and . Hence, again by Theorem 15, is soft set-connected between and . Therefore, is soft set-connected.
Sufficiency. Let be soft set-connected. Let be set-connected between U and V. Then, by Theorem 15, is soft set-connected between and . Since is soft set-connected, is soft set-connected between and . Hence, again by Theorem 15, is set-connected between and . Therefore, is set-connected. □
Theorem 17.
Every surjective soft FC function is soft set-connected.
Proof.
Let be surjective and soft FC. Let . Then . Since is soft FC, . Thus, by Theorem 4.1 of [42], is soft set-connected. □
Corollary 7.
Soft connectedness is preserved under soft FC surjections.
Proof.
The proof follows from Theorems 3.3 and 4.5 of [42].
Every soft set-connected surjection is not always soft FC, even though the range is a soft regular STS, as the following example shows. □
Example 2.
Let , , , and ϕ be the usual topology on R. Consider the identities and . Example 3.6 of [50] shows that is set-connected but not FC. According to Corollary 1 and Theorem 16, is soft set-connected but not soft FC. However, it is clear that is surjective and is soft regular.
Theorem 18.
If is soft set-connected and is soft extremally disconnected, then is soft δ-continuous.
Proof.
Let and such that . Since is soft extremally disconnected, . Since is soft set-connected, by Theorem 4.1 of [42], . Set . Then and
This shows that is soft -continuous. □
Corollary 8.
Let is soft extremally disconnected. Then, for a soft surjection , T.F.A.E.:
(a) is soft δ-continuous.
(b) is soft almost continuous.
(c) is soft weakly continuous.
(d) is soft FC.
(e) is soft set-connected.
Proof.
(a) ⟶ (b) and (b) ⟶ (c) follow from Theorems 7 and 8.
(c) ⟶ (d): The proof follows from Theorem 3.
(d) ⟶ (e): The proof follows from Theorem 17.
(e) ⟶ (a): The proof follows from Theorem 18. □
4. Soft Faint -Continuity
Definition 8.
A soft function is called soft faintly -C (soft F--C, for short) if for each and such that , there exists such that and .
Theorem 19.
For a soft function, T.F.A.E.:
(a) is soft F--C.
(b) for every .
(c) is soft continuous.
(d) for every .
(e) for every .
(f) for every .
Proof.
(a) ⟶ (b): Let and let . Then , and by (a), there exists such that and . Hence, . Therefore, .
(b) ⟶ (c): Obvious.
(c) ⟶ (d): Let . Then , and by (c), . Hence, .
(d) ⟶ (e): Let . Then and by (d), and so . Since , .
(e) ⟶ (f): Let . Then, by (e), .
But,
and
Thus, and hence, .
(f) ⟶ (a): Let and such that . Then . Thus, by (f), , and thus, . Therefore, and hence, . Put . Then such that and . Therefore, is soft F--C. □
Theorem 20.
Let and be two collections of TSs. Let and be two functions where u is a bijection. Then is soft F--C iff is F--C for all .
Proof.
Necessity. Let be soft F--C. Let . Let . Then, by Theorem 2.24 of [25], . Therefore, . Since is injective, . Thus, . This implies that is F--C.
Sufficiency. Let be F--C for all . Let . Then, according to Theorem 2.24 of [25], for all . For every , is F--C, and hence . Thus, for each , . Therefore, . It follows that is soft F--C. □
Corollary 9.
Let be a function between two TSs, and let be a bijection. Then is F--C iff is soft F--C.
Proof.
For each and , put and . Then and . Thus, Theorem 4.3 yields the result that is desired. □
Theorem 21.
Every soft W--C function is soft F--C.
Proof.
Let be soft W--C. Let and such that . Then there exists such that . Since is soft W--C, there exists such that and . Consequently, is soft F--C. □
The opposite of Theorem 21 is not always true.
Example 3.
Let and ϕ be the standard topology on . Let and be the identities. Example 2.38 of [38] shows that is F--C but not W--C. According to Corollaries 4.4 and 4.3 of [48], is soft F--C but not soft W--C.
Theorem 22.
Every soft F--C function is soft FC.
Proof.
Let be soft F--C. Let . Since by Theorem 2.9 of [25], , . Since is soft F--C, by Theorem 19 (b), . Hence, by Theorem 1 (b), is soft faintly -continuous. □
The opposite of Theorem 22 is not always true.
Example 4.
Let and . Let and be the identities. Example 2.38 of [38] shows that is FC but not F--C. According to Corollaries 2.4 and 4.4, is soft FC but not soft F--C.
Theorem 23.
If is a soft F--C function, then for any nonempty subset , is soft F--C.
Proof.
Let . Since is soft F--C, by Theorem 19 (b), and so . Hence, again by Theorem 19 (b), is soft F--C. □
Theorem 24.
Let and , and let be the soft product soft topology between them. Then for any and , we have .
Proof.
Let and and let . Since , and . Thus, there exist and such that and . Also, by Proposition 3 of [51], . Therefore, we have and by , . □
Theorem 25.
Let be a soft function. If is soft F--C, then is soft F--C.
Proof.
Let . Since , by Theorem 24, . Since is soft F--C, by Theorem 19 (b), . By Lemma 2, , and hence . Thus, again by Theorem 19 (b), is soft F--C. □
5. Conclusions
Many aspects we face daily need to deal with uncertainty. Soft set theory and its related concepts are considered one of the most important ideas proposed for dealing with uncertainty. Soft topology is considered one of the most important frameworks emerging from soft set theory. This study focuses on the concept of soft continuity, which is considered one of the most important concepts of soft topology.
This work introduces soft faint continuity, a weaker version of soft weak continuity, and soft faint -continuity, which is a weaker version of soft weak -continuity. Several characterizations of them are obtained. It is shown that they may be preserved under soft restrictions. Furthermore, it is demonstrated that a soft function is soft faintly continuous (respectively, soft faintly -continuous) if its soft graph function is also soft faintly continuous. Furthermore, it is demonstrated that a soft function with a soft almost regular (respectively, soft extremally disconnected) co-domain is soft faintly continuous if it is soft almost continuous (respectively, soft -continuous). In addition, it is shown that a soft faintly continuous surjective function is a soft set-connected function, and as a result, it is explained that soft faintly continuous functions maintain soft connectivity. Finally, the symmetry of our new concepts and their topological counterparts is studied.
Future research might look into the following topics: (1) defining soft faintly semi-continuous functions; (2) defining soft faintly semi-continuous functions; (3) defining soft faintly -continuous functions; (3) defining fuzzy soft faint continuity; (4) finding a use for our new soft continuity notions in a “decision making problem”.
Author Contributions
Conceptualization, D.A., M.N. and S.A.G.; methodology, D.A., M.N. and S.A.G.; formal analysis, D.A., M.N. and S.A.G.; writing—original draft, D.A., M.N. and S.A.G.; writing—review and editing, D.A., M.N. and S.A.G.; funding acquisition, S.A.G. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
No new data were created in this study. Data sharing is not applicable to this article.
Conflicts of Interest
The authors declare no conflict of interest.
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