Increasing amounts of experimental studies have shown that circular RNAs (circRNAs) play important regulatory roles in human diseases through interactions with related microRNAs (miRNAs). CircRNAs have become new potential disease biomarkers and therapeutic targets. Predicting circRNA-disease association (CDA) is of great significance for exploring the pathogenesis of complex diseases, which can improve the diagnosis level of diseases and promote the targeted therapy of diseases. However, determination of CDAs through traditional clinical trials is usually time-consuming and expensive. Computational methods are now alternative ways to predict CDAs. In this study, a new computational method, named PCDA-HNMP, was designed. For obtaining informative features of circRNAs and diseases, a heterogeneous network was first constructed, which defined circRNAs, mRNAs, miRNAs and diseases as nodes and associations between them as edges. Then, a deep analysis was conducted on the heterogeneous network by extracting meta-paths connecting to circRNAs (diseases), thereby mining hidden associations between various circRNAs (diseases). These associations constituted the meta-path-induced networks for circRNAs and diseases. The features of circRNAs and diseases were derived from the aforementioned networks via mashup. On the other hand, miRNA-disease associations (mDAs) were employed to improve the model's performance. miRNA features were yielded from the meta-path-induced networks on miRNAs and circRNAs, which were constructed from the meta-paths connecting miRNAs and circRNAs in the heterogeneous network. A concatenation operation was adopted to build the features of CDAs and mDAs. Such representations of CDAs and mDAs were fed into XGBoost to set up the model. The five-fold cross-validation yielded an area under the curve (AUC) of 0.9846, which was better than those of some existing state-of-the-art methods. The employment of mDAs can really enhance the model's performance and the importance analysis on meta-path-induced networks shown that networks produced by the meta-paths containing validated CDAs provided the most important contributions.
Citation: Lei Chen, Xiaoyu Zhao. PCDA-HNMP: Predicting circRNA-disease association using heterogeneous network and meta-path[J]. Mathematical Biosciences and Engineering, 2023, 20(12): 20553-20575. doi: 10.3934/mbe.2023909
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Increasing amounts of experimental studies have shown that circular RNAs (circRNAs) play important regulatory roles in human diseases through interactions with related microRNAs (miRNAs). CircRNAs have become new potential disease biomarkers and therapeutic targets. Predicting circRNA-disease association (CDA) is of great significance for exploring the pathogenesis of complex diseases, which can improve the diagnosis level of diseases and promote the targeted therapy of diseases. However, determination of CDAs through traditional clinical trials is usually time-consuming and expensive. Computational methods are now alternative ways to predict CDAs. In this study, a new computational method, named PCDA-HNMP, was designed. For obtaining informative features of circRNAs and diseases, a heterogeneous network was first constructed, which defined circRNAs, mRNAs, miRNAs and diseases as nodes and associations between them as edges. Then, a deep analysis was conducted on the heterogeneous network by extracting meta-paths connecting to circRNAs (diseases), thereby mining hidden associations between various circRNAs (diseases). These associations constituted the meta-path-induced networks for circRNAs and diseases. The features of circRNAs and diseases were derived from the aforementioned networks via mashup. On the other hand, miRNA-disease associations (mDAs) were employed to improve the model's performance. miRNA features were yielded from the meta-path-induced networks on miRNAs and circRNAs, which were constructed from the meta-paths connecting miRNAs and circRNAs in the heterogeneous network. A concatenation operation was adopted to build the features of CDAs and mDAs. Such representations of CDAs and mDAs were fed into XGBoost to set up the model. The five-fold cross-validation yielded an area under the curve (AUC) of 0.9846, which was better than those of some existing state-of-the-art methods. The employment of mDAs can really enhance the model's performance and the importance analysis on meta-path-induced networks shown that networks produced by the meta-paths containing validated CDAs provided the most important contributions.
Molodtsov [1] introduced the concept of soft sets in 1999 as an innovative way to deal with uncertain data while modeling real-world situations in several domains such as data science, engineering, economics, and health sciences. Numerous researchers have used the theory of soft sets as a mathematical tool to solve real-world problems (see [2,3]). Shabir and Naz [4] initiated the structure of soft topology and investigated many related topics. After that, several researchers interested in abstract structures attempted to extend topological concepts to include soft topological spaces. For instance, concepts such as soft compactness [5], soft separation axioms [6,7,8,9,10], lower soft separation axioms [11,12,13,14,15], soft mappings [16,17], and soft metrics [18] were introduced. Furthermore, some researchers have investigated the concept of generalized open sets in soft topologies, such as soft semi-open sets [19], soft somewhat open sets [20], soft Q-sets [21], and lower density soft operators [22].
Mashhour et al. [23] defined supra-topological spaces by removing the condition of finite intersections in the traditional definition of topologies. Many topological researchers examined topological notions by using supra-topologies to analyze their properties [24,25,26,27,28]. The authors of [28] used supra-topologies to generate new rough set models for describing information systems. Furthermore, the authors of [29] used supra-topologies in digital image processing.
The concept of supra-soft topological spaces, introduced in 2014 [30], generalizes crisp mathematical structures to include soft ones. It included concepts like continuity [30], compactness [31], separation axioms [32,33,34,35,36], separability [37,38], and generalized open sets [39,40,41]. Research in the field of supra-soft topologies remains vibrant and active.
This paper proposes new concepts in supra-soft topology that extend traditional supra-topologies through a novel classification known as supra-soft ω-open sets. Some new separation axioms and the development of finer structures using supra-soft ω-open sets connect existing theories to newer aspects of the theory of topological structures. Besides developing our knowledge regarding supra-soft spaces, these results provide fertile ground for future developments of topological methods. In addition, we observe that supra-soft topological structures have not received the attention they deserve, especially since the applications of supra-topological spaces are in many domains [28,29]. Therefore, we expect this paper to offer a new approach to solving practical issues.
For concepts and expressions not described here, we refer the readers to [42,43].
Assume that U is a non-empty set and B is a set of parameters. A soft set over U relative to B is a function H:B⟶P(U). SS(U,B) denotes the family of all soft sets over U relative to B. The null soft set and the absolute soft set are denoted by 0B and 1B, respectively. Let H∈SS(U,B). If H(a)=M for all a∈B, then H is denoted by CM. If H(a)=M and H(b)=∅ for all b∈B−{a}, then H is denoted by aM. If H(a)={x} and H(b)=∅ for all b∈B−{a}, then H is called a soft point over U relative to B and denoted by ax. SP(U,B) denotes the family of all soft points over U relative to B. If H∈SS(U,B) and ax∈SP(U,B), then ax is said to belong to H (notation: ax˜∈H) if x∈H(a). If {Hα:α∈Δ}⊆SS(U,B), then the soft union and soft intersection of {Hα:α∈Δ} are denoted by ˜∪α∈ΔHα and ˜∩α∈ΔHα, respectively, and are defined by
(˜∪α∈ΔHα)(a)=∪α∈ΔHα(a) and (˜∩α∈ΔHα)(a)=∩α∈ΔHα(a) for all a∈B.
The sequel will utilize the following definitions.
Definition 1.1. [18] A soft set K∈SS(U,B) is called countable if K(b) is a countable subset of U for each b∈B. CSS(U,B) denotes the family of all countable soft sets from SS(U,B).
Definition 1.2. [23] Let U≠∅ be a set and let ℵ be a family of subsets of U. Then ℵ is a supra-topology on U if
(1) {∅,U}⊆ℵ.
(2) ℵ is closed under an arbitrary union.
We say in this case that (U,ℵ) is a supra-topological space (supra-TS, for short). Members of ℵ are called supra-open sets in (U,ℵ), and their complements are called supra-closed sets in (U,ℵ). ℵc denotes the family of all supra-closed sets in (U,ℵ).
Definition 1.3. [23] Let (U,ℵ) be a supra-TS and let V⊆U. The supra-closure of V in (U,ℵ) is denoted by Clℵ(V) and defined by
Clℵ(V)=∩{W:W∈ℵc and V⊆W}. |
Definition 1.4. [30] A subcollection ψ⊆SS(U,B) is called a supra-soft topology on U relative to B if
(1) {0B,1B}⊆ψ.
(2) ψ is closed under arbitrary soft union.
We say in this case (U,ψ,B) is a supra-soft topological space (supra-STS, for short). Members of ψ are called supra-soft open sets in (U,ψ,B), and their soft complements are called supra-soft closed sets in (U,ψ,B). ψc will denote the family of all supra-soft closed sets in (U,ψ,B).
Definition 1.5. [30] Let (U,ψ,B) be a Supra-STS and let K∈SS(U,B).
(a) The supra-soft closure of K in (U,ψ,B) is denoted by Clψ(K) and defined by
Clψ(K)=˜∩{H:H∈ψc and K˜⊆H}. |
(b) The supra-soft interior of K in (U,ψ,B) is denoted by Intψ(K) and defined by
Intψ(K)=˜∪{T:T∈ψ and T˜⊆K}. |
Theorem 1.6. [38] For each supra-STS (U,ψ,B) and each b∈B, the collection {H(b):H∈ψ} defines a supra-topology on U. This supra-soft topology is denoted by ψb.
Definition 1.7. [44] A supra-STS (U,ψ,B) is called a supra-soft compact (resp. supra-soft Lindelof) if for every M⊆ψ with ˜∪M∈MM=1B, we find a finite (resp. countable) subcollection M1⊆M with ˜∪K∈M1M=1B.
Definition 1.8. [45] Let (U,ℵ) be a supra-TS and let V⊆U. Then, V is called a supra-ω-open in (U,ℵ) if, for each y∈V, S∈ℵ and a countable subset N⊆U exist such that y∈S−N⊆V. The collection of all supra-ω-open sets in (U,ℵ) is denoted by ℵω.
Definition 1.9. [46] A supra-STS (U,ℵ) is called supra-Lindelof if, for every M⊆ℵ with ˜∪M∈MM=U, we find a countable subcollection M1⊆M with ˜∪K∈M1M=U.
Definition 1.10. A supra-STS (U,ψ,B) is called supra-soft countably compact if, for every countable subcollection M⊆ψ with ˜∪M∈MM=1B, we find a finite subcollection M1⊆M with ˜∪K∈M1M=1B.
Definition 1.11. [31] Let (U,ψ,B) be a supra-STS, ∅≠V⊆U, and ψV={G˜∩CV:G∈ψ}. Then, (V,ψV,B) is called a supra-soft topological subspace of (U,ψ,B).
Definition 1.12. A supra-TS (U,ℵ) is said to be
(1) [45] Supra-regular if, whenever V∈ℵc and y∈U−V, we find R,W∈ℵ with y∈R, V⊆W, and R∩W=∅;
(2) Supra-ω-regular if, whenever V∈(ℵω)c and y∈U−V, we find R∈ℵ and W∈ℵω with y∈R, V⊆W, and R∩W=∅;
(3) Supra-ω-locally indiscrete (supra-ω-L-I, for short) if ℵ⊆(ℵω)c.
Definition 1.13.[36] A supra-STS (U,ψ,B) is called supra-soft regular if, whenever L∈ψc and by˜∈1B−L, we find G,H∈ψ with by˜∈G, L˜⊆H, and G˜∩H=0B.
Definition 1.14. [37] Let (U,ψ,B) and (V,ϕ,D) be two supra-STSs. Then the supra-soft topology on U×V relative to B×D that has ψ×ϕ as a supra-soft base will be denoted by pr(ψ×ϕ).
Theorem 2.1. Let {(U,ψb):b∈B} be a family of supra-TSs, and let
ψ={H∈SS(U,B):H(b)∈ψb for all b∈B}. |
Then (U,ψ,B) is a supra-STS.
Proof: Since for every b∈B, 0B(b)=∅∈ψb, and 1B(b)=Y∈ψb, therefore {0B,1B}⊆ψ. Let {H:H∈H}⊆ψ. Then for all b∈B and H∈H, H(b)∈ψb and ∪H∈HH(b)∈ψb. So, for each b∈B, (˜∪H∈HH)(b)=∪H∈HH(b)∈ψb. Consequently, ˜∪H∈HH∈ψ.
Definition 2.2. Let {(U,ψb):b∈B} be a family of supra-TSs.
(a) The supra-soft topology {H∈SS(U,B):H(b)∈ψb for all b∈B} is indicated by ⊗b∈Bψb.
(b) If ψb=ℵ for all b∈B, then ⊗b∈Bψb is indicated by μ(ℵ).
Theorem 2.3. Let {(U,ψb):b∈B} be a family of supra-TSs. Then, for each a∈B, {aV:V∈ψa}⊆⊗b∈Bψb.
Proof: Let a∈B and let Z∈ψa. We then have
(aV)(b)={Vifb=a,∅ifb≠a. |
Consequently, (aV)(b)∈ψb for all b∈B. Hence, aV∈⊗b∈Bψb.
Theorem 2.4. Let {(U,ψb):b∈B} be a family of supra-TSs and let H∈SS(U,B)−{0B}. Then, H∈⊗b∈Bψb if for each by˜∈H, we find V∈ψb with y∈V and bV˜⊆H.
Proof: Necessity. Let H∈⊗b∈Bψb and let by˜∈H. Then, y∈H(b)∈ψb. Set V= H(b). Thus, we have V∈ψb, y∈Z, and bV˜⊆H.
Sufficiency. Let H∈SS(U,B)−{0B} such that for each by˜∈H, we find V∈ψb with y∈V and bV˜⊆H. Let b∈B. To show that H(b)∈ψb, let y∈H(b). Then by˜∈H and, by assumption, we find V∈ψb with by˜∈bV˜⊆H. Moreover, by Theorem 2.3, bV∈⊗b∈Bψb. Hence, H∈⊗b∈Bψb.
Theorem 2.5. Let {(U,ψb):b∈B} be a family of supra-TSs. Then, (⊗b∈Bψb)a=ψa for all a∈B.
Proof: To demonstrate that (⊗b∈Bψb)a⊆ψb, let V∈(⊗b∈Bψb)a. We then find H∈⊗b∈Bψb with H(a)=V. By the definition of ⊗b∈Bψb, H(a)∈ψb, and thus V∈ψb. To demonstrate that ψb⊆(⊗b∈Bψb)a, let V∈ψb, then, by Theorem 2.3, aV∈⊗b∈Bψb, and so aV(a)=V∈(⊗b∈Bψb)a.
Corollary 2.6. If (U,ℵ) is a supra-TS and B is any set of parameters, then (μ(ℵ))b=ℵ for all b∈B.
Proof: For every b∈B, set ψb=ℵ. Then, μ(ℵ)=⊗b∈Bψb, and, by Theorem 2.5, we get the result.
Theorem 2.7. If (U,ψ,B) is a supra-STS, then ψ⊆⊗b∈Bψb.
Proof: Let H∈ψ. Then, H(b)∈ψb for all b∈B, and thus, H∈⊗b∈Bψb.
The equality in Theorem 2.7 is not often true.
Example 2.8. Let U={1,2,3,4}, B={s,t}, H=s{1,2}˜∪t{3,4}, and ψ={0B,1B,H}. Then, ψs={∅,U,{1,2}}, ψt={∅,U,{3,4}}, and ⊗b∈Bψb={0B,1B,s{1,2},t{3,4},F}. Hence, ψ≠⊗b∈Bψb.
Theorem 2.9. For any supra-STS (U,ψ,B) and any a∈B, (⊗b∈Bψb)a=ψb.
Proof: The proof is derived from Theorem 2.5.
Theorem 2.10. Let (U,ℵ) be a supra-TS, B be a set of parameters, and ψ={CV:V∈ℵ}. Then, (U,ψ,B) is a supra-STS.
Proof: Since ∅, U∈ℵ, then 0B=C∅∈ψ and 0B=CU∈ψ. Let { CVi:i∈I}⊆ψ where {Vi:i∈I}⊆ψ. We then have ∪i∈IVi∈ℵ and so C∪i∈IVi∈ψ. Moreover, it is not difficult to demonstrate that ˜∪i∈ICVi=C∪i∈IVi. Consequently, ˜∪i∈ICVi∈ψ.
Definition 2.11. For every supra-TS (U,ℵ) and every collection of parameters B, the supra-soft topology {CV:V∈ℵ} is indicated by C(ℵ).
Theorem 2.12. For every supra-TS (U,ℵ), and each collection of parameters B, (C(ℵ))b=ℵ for all b∈B.
Proof: Obvious.
Theorem 2.13. Let (U,ψ,B) be a supra-STS with ψ⊆{CV:Z⊆U}, and let ℵ={V⊆U:CV∈ψ}. Then (U,ℵ) is a supra-TS.
Proof: Since 0B=C∅∈ψ, and 1B=CU∈ψ, ∅, U∈ℵ. Let {Vi:i∈I}⊆ℵ. Then {CVi:i∈I}⊆ψ and so ˜∪i∈ICVi∈ψ. Since ˜∪i∈ICVi=C∪i∈IVi, ∪i∈IVi∈ℵ.
Definition 2.14. Let (U,ψ,B) be a supra-STS with ψ⊆{CV:V⊆U}. Then the supra-topology {V⊆U:CV∈ψ} is indicated by D(ψ).
The following two results follow obviously:
Theorem 2.15. For any supra-STS (U,ψ,B) with ψ⊆{CV:V⊆U}, ψb=D(ψ) for all b∈B.
Theorem 2.16. For every supra-TS (U,ℵ) and every collection of parameters B, D(C(ℵ))=ℵ.
Definition 3.1. Let (U,ψ,B) be a supra-STS and let H ∈ SS(U,B).
(a) A soft point by∈SP(U,B) is a supra-soft condensation point of H in (U,ψ,B) if, for each K∈ψ with by˜∈K, K˜∩H∉CSS(U,B).
(b) The soft set ˜∪{by∈SP(U,B):by is a supra-soft condensation point of H in (U,ψ,B)}, which is indicated by Cond(H).
(c) H is supra-soft ω-closed in (U,ψ,B) if Cond(H)˜⊆H.
(d) H is supra-soft ω-open in (U,ψ,B) if 1B−H is supra-soft ω-closed in (U,ψ,B).
(e) The collection of all supra-soft ω-open sets in (U,ψ,B) is indicated by ψω.
Theorem 3.2. Let (U,ψ,B) be a supra-STS and let H ∈ SS(U,B). Then, H∈ψω iff for each by˜∈H, we find K∈ψ with by˜∈K, and K−H∈CSS(U,B).
Proof: Necessity. Let H∈ψω and let by˜∈H. Then, 1B−H is soft ω-closed in (U,ψ,B) and by˜∉1B−H. Since Cond(1B−H)˜⊆1B−H, then by˜∉Cond(1B−H), and thus, we find K∈ψ with by˜∈K and K˜∩(1B−H)∈CSS(U,B). Since K˜∩(1B−H)=K−H, we are done.
Sufficiency. We show that H˜⊆1B−Cond(1B−H). Let by˜∈H. Then we find K∈ψ with by˜∈K and K−H∈CSS(U,B). Thus, we have K∈ψ, by˜∈K, and K˜∩(1B−H)=K−H∈CSS(U,B). Hence, by˜∈1B−Cond(1B−H).
Theorem 3.3. Let (U,ψ,B) be a supra-STS and let H ∈ SS(U,B). Then, H∈ψω iff for each by˜∈H, we find K∈ψ and F∈CSS(U,B) with by˜∈K−F˜⊆H.
Proof: Necessity. Let H∈ψω and let by˜∈H. By Theorem 3.2, we find K∈ψ with by˜∈K and K−H∈CSS(U,B). Set F=K−H. We then have F∈CSS(U,B) with by˜∈K−F=K−(K−H)=H˜⊆H.
Sufficiency. Let by˜∈H. Then, by assumption, we find K∈ψ and F∈CSS(U,B) with by˜∈K−F˜⊆H. Since K−H˜⊆F, K−H∈CSS(U,B). Consequently, by Theorem 3.2, H∈ψω.
Theorem 3.4. For any supra-STS (U,ψ,B), ψ⊆ψω.
Proof: Let H∈ψ and let by˜∈H. Set K=H and F=0B. We then have K∈ψ and F∈CSS(U,B) with by˜∈K−F=K˜⊆K=H. Consequently, by Theorem 3.2, H∈ψω.
Theorem 3.5. For any supra-STS (U,ψ,B), (U,ψω,B) is a supra-STS.
Proof: Since (U,ψ,B) is a supra-STS, {0B,1B}⊆ψ. So, by Theorem 3.4, {0B,1B}⊆ψω. Let H⊆ψω and let by˜∈˜∪H∈HH. Choose H∘∈H with by˜∈H∘. Since H∘∈ψω, by Theorem 3.3, we find K∈ψ and F∈CSS(U,B) with by˜∈K−F˜⊆H∘˜⊆˜∪H∈HH. Again, by Theorem 3.3, ˜∪H∈HH∈ψω.
The example that follows demonstrates that equality in general cannot take the place of inclusion in Theorem 3.4.
Example 3.6. Let Y=R, B=N, and ψ={0B,1B,C(−∞,0],C[0,∞)}. Then (U,ψ,B) is a supra-STS and C(0,∞)∈ψω−ψ.
Theorem 3.7. Let (U,ψ,B) be a supra-STS. Then, ψ=ψω iff {K−F:K∈ψ and F∈CSS(U,B)}⊆ψ.
Proof: Necessity. Let ψ=ψω. Then, by Theorem 3.3, {K−F:K∈ψ and F∈CSS(U,B)}⊆ψω=ψ.
Sufficiency. Let {K−F:K∈ψ and F∈CSS(U,B)}⊆ψ. By Theorem 3.4, it is enough to demonstrate that ψω⊆ψ. Let H∈ψω−{0B} and let by˜∈H. Then, by Theorem 3.3, we find K∈ψ and F∈CSS(U,B) with by˜∈K−F˜⊆H. Since {K−F:K∈ψ and F∈CSS(U,B)}⊆ψ, K−F∈ψ. Consequently, H∈ψ.
Theorem 3.8. Let (U,ψ,B) be a supra-STS. Then for all b∈B, (ψb)ω=(ψω)b.
Proof: Let b∈B. To demonstrate that (ψb)ω⊆(ψω)b, let S∈(ψb)ω and let y∈S. We then find M∈ψb and a countable set N⊆U with y∈M−N⊆S. Since M∈ψb, we find G∈ψ with G(b)=M. Since bN∈CSS(U,B), G−bN∈ψω and (G−bN)(b)=G(b)−N=M−N∈(ψω)b. Consequently, S∈(ψω)b. To demonstrate that (ψω)b⊆(ψb)ω, let S∈(ψω)b and let y∈S. Choose H∈ψω with H(b)=S. Since by˜∈H∈ψω, by Theorem 3.3, we find K∈ψ and F∈CSS(U,B) with by˜∈K−F˜⊆H. Consequently, we have K(b)∈ψb, F(b) is a countable subset of U, and y∈K(b)−F(b)⊆H(b)=S. Hence, S∈(ψb)ω.
Corollary 3.9. Let (U,ψ,B) be a supra-STS. If H∈ψω, then for each b∈B, H(b)∈(ψb)ω.
Proof:Let H∈ψω and let b∈B. Then, H(b)∈(ψω)b, and, by Theorem 3.8, H(b)∈(ψb)ω.
Theorem 3.10. For any family of supra-TSs {(U,ψb):b∈B}, (⊗b∈Bψb)ω=⊗b∈B(ψb)ω.
Proof: Let H∈ (⊗b∈Bψb)ω. To demonstrate that H∈ ⊗b∈B(ψb)ω, we show that H(a)∈(ψa)ω for all a∈B. Let a∈B and let y∈H(a). We then have ay˜∈H∈(⊗b∈Bψb)ω and, by Theorem 3.3, we find K∈⊗b∈Bψb and F∈CSS(U,B) with ay˜∈K−F˜⊆H. Consequently, we have K(a)∈ψa, F(a) is a countable subset of U, and y∈K(a)−F(a)⊆H(a). This implies that H(a)∈(ψa)ω. Conversely, let H∈ ⊗b∈B(ψb)ω. To demonstrate that H∈ (⊗b∈Bψb)ω, let ay˜∈H. Then, y∈H(a). Since H∈ ⊗b∈B(ψb)ω, H(a)∈(ψa)ω. Since y∈H(a)∈(ψa)ω, we find M∈ψa and a countable set N⊆U with y∈M−N⊆H(a). Thus, we have aM∈⊗b∈Bψb, aN∈CSS(U,B), and ay˜∈aM−aN˜⊆H. Consequently, by Theorem 3.3, H∈ (⊗b∈Bψb)ω.
Corollary 3.11. For every supra-TS (U,ℵ) and every collection of parameters B, (μ(ℵ))ω=μ(ℵω) for every b∈B.
Proof: For each b∈B, set ψb=ℵ. Then μ(ℵ)=⊗b∈Bψb and, by Theorem 3.10,
(μ(ℵ))ω=(⊗b∈Bψb)ω=⊗b∈B(ψb)ω=μ(ℵω). |
Definition 3.12. A supra-STS (U,ψ,B) is called supra-soft locally countable (supra-soft L-C, for short) if, for each by∈SP(U,B), we find K∈ψ∩CSS(U,B) with by˜∈K.
Theorem 3.13. If (U,ψ,B) is supra-soft L-C, then ψω=SS(U,B).
Proof: It is sufficient to show that SP(U,B)⊆ψω. Let by∈SP(U,B). Since (U,ψ,B) is supra-soft L-C, then we find K∈ψ∩CSS(U,B) with by˜∈K. Since K∈CSS(U,B), then K−by˜∈CSS(U,B). Thus, by Theorem 3.3, K−(K−by)=by∈ψω.
Corollary 3.14. If (U,ψ,B) is a supra-STS with U being countable, then ψω=SS(U,B).
Theorem 3.15. Let (U,ψ,B) be a supra-STS. Then (U,ψω,B) is supra-soft countably compact iff SP(U,B) is finite.
Proof: Necessity. Let (U,ψω,B) be supra-soft countably compact and assume, however, that SP(U,B) is infinite. Choose a denumerable subset {an:n∈N}⊆SP(U,B) with ai≠aj when i≠j. For each n∈N, set Hn=1B−˜∪k≥nak. We then have ˜∪n∈NHn=1B and {Hn:n∈N}⊆ψω. Since (U,ψω,B) is supra-soft countably compact, we find {Hn1,Hn2,...,Hnk}⊆{Hn:n∈N} with n1<n2<...<nk and ˜∪i∈{n1,n2,...,nk}Hi=Hnk=1B, which is a contradiction.
Sufficiency. Suppose that SP(U,B) is finite. Then SS(U,B) is finite. Thus, (U,ψω,B) is supra-soft compact, and hence (U,ψω,B) is supra-soft countably compact.
Corollary 3.16. Let (U,ψ,B) be a supra-STS. Then (U,ψω,B) is supra-soft compact iff SP(U,B) is finite.
Lemma 3.17. Let (U,ψ,B) be a supra-STS, and let K be a supra-soft base of (U,ψ,B). Then, (U,ψ,B) is supra-soft Lindelof iff for every K1⊆K with ˜∪K∈K1K=1B, we find a countable subcollection K2⊆K1 with ˜∪K∈K2K=1B.
Proof: Necessity. Let (U,ψ,B) be supra-soft Lindelof. Let K1⊆K with ˜∪K∈K1K=1B. Then, K1⊆ψ with ˜∪K∈K1K=1B, and so, we find a countable subcollection K2⊆K1 with ˜∪K∈K2K=1B.
Sufficiency. Let H⊆ψ with ˜∪H∈HH=1B. For each by∈SP(U,B), choose Hby∈H with by˜∈Hby. Since K is a supra-soft base of (U,ψ,B), for each by∈SP(U,B), we find Kby∈K with by˜∈Kby˜⊆Hby. Let K1={Kby:by∈SP(U,B)}. We then have K1⊆K with ˜∪K∈K1K=1B, and, by assumption, we find a countable subcollection K2⊆K1 with ˜∪K∈K2K=1B. Choose a countable subset γ⊆SP(U,B) with K2={Kby:by∈γ}. Let H1={Hby:by∈γ}. Then, H1 is a countable subcollection of H with ˜∪K∈H1H=1B. Consequently, (U,ψ,B) is supra-soft Lindelof.
Theorem 3.18. Let (U,ψ,B) be a supra-STS with B being countable. Then (U,ψ,B) is supra-soft Lindelof iff (U,ψω,B) is supra-soft Lindelof.
Proof: Necessity. Let (U,ψ,B) be supra-soft Lindelof. Set R={K−F:K∈ψ and F∈CSS(U,B)}. Then, by Theorem 3.3, R is a supra-soft base of (U,ψω,B). We apply Lemma 3.17. Let R1⊆R with ˜∪R∈R1R=1B, say R1={Kj−Fj:where Kj∈ψ and Fj∈CSS(U,B):j∈J}. Since ˜∪j∈JKj=1B and (U,ψ,B) is supra-soft Lindelof, then there is a countable subset J1⊆J with ˜∪j∈J1Kj=1B. Set F=˜∪j∈J1Fj. Then F∈CSS(U,B). For each by˜∈F, choose jby∈J with by˜∈Kjby−Fjby. Let
R2={Kj−Fj:j∈J1}∪{Kjby−Fjby:by˜∈F}. |
Then, R2⊆R1, R2 is countable, and ˜∪R∈R2R=1B.
Sufficiency. Let (U,ψω,B) be supra-soft Lindelof. By Theorem 3.4, ψ⊆ψω. Thus, (U,ψ,B) is supra-soft Lindelof.
Theorem 3.19. Let (U,ψ,B) be a supra-STS and let ∅≠V⊆ U. Then, (ψV)ω=(ψω)V.
Proof: To show that (ψV)ω⊆(ψω)V, let S∈(ψV)ω and let by˜∈S. By Theorem 3.3, we find M ∈ ψV and L∈CSS(V,B) with by˜∈M−L˜⊆S. Choose K∈ψ with M=K˜∩CV. Then, K−L ∈ ψω, by˜∈K−L, and (K−L)˜∩CV=M−L˜⊆S. Consequently, S∈(ψω)V. Conversely, to show that (ψω)V⊆(ψV)ω, let S∈(ψω)V and let by˜∈S. Choose H∈ψω with S=H∩CV. Since by˜∈H∈ψω, by Theorem 3.3, we find K∈ψ and F∈CSS(U,B) with by˜∈K−F ˜⊆H. Set T=K˜∩CV. We then have T∈ ψV, F˜∩CV∈CSS(V,B), and by˜∈T−(F˜∩CV)˜⊆S. Again, by Theorem 3.3, S∈(ψV)ω.
Theorem 3.20. Let {(U,ψb):b∈B} be a family of supra-TSs. Then (U,⊗b∈Bψb,B) is supra-soft Lindelof iff B is countable and (U,ψb) is supra-Lindelof for all b∈B.
Proof: Necessity. Let (U,⊗b∈Bψb,B) be supra-soft Lindelof. Since {bU:b∈B}⊆⊗b∈Bψb with ˜∪b∈BbU=1B, we find a countable subset B1⊆B with ˜∪b∈B1bU=1B. We must have B1=B, and hence B is countable. Let a∈B. To show that (U,ψb) is supra-Lindelof, let Y⊆ψa with ∪Y∈YY=U. Let K={aY:Y∈Y}∪{bU:b∈B−{a}}. Then, K⊆⊗b∈Bψb and ˜∪K∈KK=1B. Since (U,⊗b∈Bψb,B) is supra-soft Lindelof, we find a countable subcollection K1⊆K with ˜∪K∈K1K=1B. Consequently, we find a countable subcollection Y1⊆Y with K1={aY:Y∈Y1}∪{bU:b∈B−{a}}. Moreover, we must have ∪Y∈Y1Y=U. This shows that (U,ψb) is supra-Lindelof.
Sufficiency. Let B be countable, and (U,ψb) be supra-Lindelof for all b∈B. Let H={bV:b∈B and V∈ψb}. By Theorem 2.4, H is a supra-soft base of (U,⊗b∈Bψb,B). We apply Lemma 3.17. Let T⊆H with ˜∪T∈TT=1B. For each b∈B, let Tb={V⊆U:bV∈T}. For each b∈B, we have Tb⊆ ψb with ∪Y∈TbY=U, and, we find a countable subcollection Lb⊆Tb with ∪Y∈LbY=U. Let T1={bV:b∈B and V∈Lb}. Since B is countable, T1 is countable. Consequently, we have a T1 that is a countable subcollection of T with ˜∪T∈T1T=1B. It follows that (U,⊗b∈Bψb,B) is supra-soft Lindelof.
Definition 3.21. A supra-STS (U,ψ,B) is called supra-soft anti locally countable (supra-soft A-L-C, for short) if for any G,H∈ψ, either G˜∩H=0B or G˜∩H∉CSS(U,B).
Theorem 3.22. A supra-STS (U,ψ,B) is supra-soft A-L-C iff (U,ψω,B) is supra-soft A-L-C.
Proof: Necessity. Let (U,ψ,B) be supra-soft A-L-C. Assume, however, we have G,H∈ψω with G˜∩H∈CSS(U,B)−{0B}. Choose by˜∈G˜∩H. By Theorem 3.3, we find M,N∈ψ and F,L∈CSS(U,B) with by˜∈M−F˜⊆G and by˜∈N−L˜⊆H. Consequently, M˜∩N˜⊆(G˜∩H)˜∪(F˜∪L). This implies that M˜∩N∈CSS(U,B)−{0B}. Consequently, (U,ψ,B) is not supra-soft A-L-C, which is a contradiction.
Sufficiency. Obvious.
Theorem 3.23. Let (U,ψ,B) be supra-soft A-L-C. Then for all H∈ψω, Clψ(H)=Clψω(H).
Proof: Let (U,ψ,B) be supra-soft A-L-C and let H∈ψω. Since, by Theorem 3.4, ψ⊆ψω, Clψω(H)˜⊆Clψ(H). To demonstrate that Clψ(H)˜⊆Clψω(H), let by˜∈Clψ(H), and let K∈ψω with by˜∈K. By Theorem 3.3, we find M∈ψ and F∈CSS(U,B) with by˜∈M−F˜⊆K. Since by˜∈M∈ψ and by˜∈Clψ(H), M˜∩H≠0B. Choose ax˜∈M˜∩H. Since H∈ψω, by Theorem 3.3, we find N∈ψ and L∈CSS(U,B) with ax˜∈N−L˜⊆H. Since ax˜∈M˜∩N and (U,ψ,B) is supra-soft A-L-C, M˜∩N∉CSS(U,B). Thus, (M−F)˜∩(N−L)≠0B, and hence, K˜∩H≠0B. Consequently, by˜∈Clψω(H).
The following example demonstrates that Theorem 3.23 is no longer true when the assumption of being "supra-soft A-L-C" is removed.
Example 3.24. Let U=Z, B={a,b}, and ψ={0B,1B,CN}. Then, CN ∈ψ ⊆ ψω. We have Clψ(CN)=1B, but Clψω(CN)=CN≠1B.
In Theorem 3.23, the assumption "H∈ψω" cannot be eliminated.
Example 3.25. Let ℵ be the usual topology on R. Consider (R,μ(ℵ),N). Let H∈SS(R,N) be defined by H(b)=Q−{b} for all b∈N. Since H∈CSS(R,N), Cl(μ(ℵ))ω(H)=H. Moreover, Clμ(ℵ)(H)=1B.
Theorem 3.26. Let (U,ψ,B) be supra-soft A-L-C. Then for all H∈(ψω)c, Intψ(H)=Intψω(H).
Proof: Let (U,ψ,B) be supra-soft A-L-C and let H∈(ψω)c. Then, 1B−H∈ψω and, by Theorem 3.23, Clψ(1B−H)=Clψω(1B−H). Thus,
Intψ(H)=1B−Clψ(1B−H)=1B−Clψω(1B−H)=Intψω(H). |
Theorem 3.27. Let (U,ψ,B) be a supra-soft Lindelof space. If V⊆U with CV∈(ψω)c−{0B}, then (V,ψV,B) is supra-soft Lindelof.
Proof: Let (U,ψ,B) be a supra-soft Lindelof space and let V⊆U with CV∈(ψω)c−{0B}. By Theorem 3.18, (U,ψω,B) is supra-soft Lindelof. Since CV∈(ψω)c, by Theorem 3.6 of [45], (V,(ψω)V,B) is supra-soft Lindelof. By Theorem 3.19, (V,(ψV)ω,B) is supra-soft Lindelof. Again, by Theorem 3.18, we must have (V,ψV,B) is supra-soft Lindelof.
Theorem 4.1. If (U,ψ,B) is a supra-STS with ψ⊆ψc, then, (U,ψ,B) is a soft topological space.
Proof: Let G,H∈ψ. Then, G,H∈ψc and 1B−G,1B−H∈ψ. Therefore, 1B−(G˜∩H)=(1B−G)˜∪(1B−H)∈ψ. Thus, 1B−(G˜∩H)∈ψc. Hence, G˜∩H∈ψ.
Definition 4.2. A supra-STS (U,ψ,B) is said to be
(a) Supra-soft locally indiscrete (supra-soft L-I, for short) if ψ⊆ψc;
(b) Supra-soft ω-locally indiscrete (supra-soft ω-L-I, for short) if ψ⊆(ψω)c.
Theorem 4.3. A supra-STS (U,ψ,B) is supra-soft L-I iff (U,ψ,B) is supra-soft L-I as a soft topological space.
Proof: This follows from Theorem 4.1.
Theorem 4.4. Supra-soft L-C supra-STSs are supra-soft ω-L-I.
Proof: Let (U,ψ,B) be a supra-soft L-C. Then, by Theorem 3.13, ψω=SS(U,B). Thus, ψ⊆ψω=(ψω)c=SS(U,B), and hence (U,ψ,B) is supra-soft ω-L-I.
Theorem 4.4's implication is not reversible in general.
Example 4.5. Let U=R, B={a,b}, and ψ={0B,1B,CN∪{−1},CZ−N,CZ}. Consider the supra-STS (U,ψ,B). Since {CN∪{−1},CZ−N,CZ}⊆CSS(U,B), then {CN∪{−1},CZ−N,CZ}⊆(ψω)c. Consequently, we have ψ⊆(ψω)c, and hence, (U,ψ,B) is supra-soft ω-L-I. Moreover, it is clear that (U,ψ,B) is not supra-soft L-C.
Theorem 4.6. Every supra-soft L-I supra-STS is supra-soft ω-L-I.
Proof: Let (U,ψ,B) be supra-soft L-I, and thus ψ⊆ψc. Since ψ⊆ψω, ψc⊆(ψω)c. Consequently, ψ⊆(ψω)c. Hence, (U,ψ,B) is supra-soft ω -L-I.
Theorem 4.6's implication is not reversible in general.
Example 4.7. Let U=Q, B=N, and ψ={0B,1B,CN∪{−1},CZ−N,CZ}. Consider the supra-STS (U,ψ,B). Then, (U,ψ,B) is supra-soft L-C, and, by Theorem 3.13, ψω=SS(U,B). Thus, (ψω)c=ψω=SS(U,B), and hence (U,ψ,B) is supra-soft ω-L-I. Moreover, since CZ−N∈ψ−ψc, (U,ψ,B) is not supra-soft L-I.
Theorem 4.8. If (U,ψ,B) is supra-soft A-L-C, and supra-soft ω-L-I, then (U,ψ,B) is supra-soft L-I.
Proof: Let H∈ψ. Since (U,ψ,B) is supra-soft ω -L-I, then H∈(ψω)c, and hence, Clψω(H)=H. Since (U,ψ,B) is supra-soft A-L-C, then, by Theorem 3.23, Clψ(H)=Clψω(H). Thus, Clψ(H)=H, and hence, H∈ψc. Consequently, (U,ψ,B) is supra-soft L-I.
Example 4.7 is an example of a supra-soft L-C supra-STS that is not supra-soft L-I. An example of a supra-soft L-I supra-STS that is not supra-soft L-C is as follows:
Example 4.9. Let U=[0,1]∪[2,3], B={a,b}, and ψ={0B,1B,C[0,1],C[2,3]}. Consider the supra-STS (U,ψ,B). Then, (U,ψ,B) is not supra-soft L-C. Since ψ=ψc, (U,ψ,B) is supra-soft L-I.
Theorem 4.10. If (U,ψ,B) is supra-soft ω-L-I, then (U,ψb) is supra ω-L-I for all b∈B.
Proof: Since (U,ψ,B) is supra-soft ω-L-I, then ψ⊆(ψω)c. Let V∈ψb. Choose K∈ψ with K(b)=V. Therefore, we have K∈(ψω)c, and hence, V=K(b)∈((ψω)b)c. But, by Theorem 3.8, (ψω)b=(ψb)ω. Then, V∈((ψb)ω)c. This proves that ψb⊆((ψb)ω)c, and hence, (U,ψb) is supra ω-L-I.
Theorem 4.11. Let {(U,ψb):b∈B} be a family of supra-TSs. Then (U,⊗b∈Bψb,B) is supra-soft ω-L-I iff (U,ψb) is supra ω-L-I for all b∈B.
Proof: Necessity. Let (U,⊗b∈Bψb,B) be supra-soft ω-L-I. Then, by Theorem 4.10, (U,(⊗b∈Bψb)b) is supra ω-L-I for all b∈B. But, by Theorem 2.5, (⊗b∈Bψb)b=ψb for all b∈B. This ends the proof.
Sufficiency. Let (U,ψb) be supra ω-L-I for all b∈B. Let K∈⊗b∈Bψb. Then, K(b)∈ψb for all b∈B. Since (U,ψb) is supra ω-L-I for all b∈B, K(b)∈((ψb)ω)c for all b∈B. Therefore, K∈(⊗b∈B(ψb)ω)c. Now, by Theorem 3.10, K∈((⊗b∈Bψb)ω)c. It follows that (U,⊗b∈Bψb,B) is supra-soft ω-L-I.
Corollary 4.12. Let (U,ℵ) be a supra-TS and B be a set of parameters. Then, (U,μ(ℵ),B) is supra-soft ω-L-I iff (U,ℵ) is supra ω-L-I.
Proof: For every b∈B, set ℵb=ℵ. Then, μ(ℵ)=⊗b∈Bψb. Theorem 4.11 ends the proof.
The example that follows demonstrates that, generally, the conclusion in Theorem 4.10 is not true in reverse.
Example 4.13. Let U=R and B={s,t}. Let
T={(s,(−∞,0)),(t,(−∞,1))},
S={(s,[0,1)),(t,(−∞,1))},
W={(s,[1,2)),(t,[1,∞))},
L={(s,[2,∞)),(t,[1,∞))},
N={(s,∅),(t,(−∞,1))},
M={(s,∅),(t,[1,∞))}.
Consider the supra-STS (U,ψ,B), where ψ is the supra-soft topology having {T,S,W,L,N,M} as a supra-soft base. Then, ψa is the supra-topology on U having {(−∞,0),[0,1),[1,2),[2,∞)} as a supra base, and ψb is the supra-topology on U having {(−∞,1),[1,∞)} as a supra base. Hence, (U,ψa) and (U,ψb) are both supra L-I. Since (U,ψ,B) is supra-soft A-L-C and 1B−T∉ψ, by Theorem 4.8, 1B−T∉ψω. This implies that (U,ψ,B) is not supra-soft ω-L-I.
Definition 5.1. A supra-STS (U,ψ,B) is called supra-soft ω-regular (supra-soft ω-r, for short) if whenever L∈ψc and by˜∈1B−L, we find G∈ψ and H∈ψω with by˜∈G, L˜⊆H, and G˜∩H=0B.
Theorem 5.2. A supra-STS (U,ψ,B) is supra-soft ω-r iff whenever T∈ψ and by˜∈T, we find G∈ψ with by˜∈G˜⊆Clψω(G)˜⊆T.
Proof: Necessity. Let (U,ψ,B) be supra-soft ω-r. Let T∈ψ and by˜∈T. Then, we have 1B−T∈ψc and by˜∈1B−(1B−T). We then find G∈ψ and H∈ψω with by˜∈G, 1B−T˜⊆H, and G˜∩H=0B. Since 1B−T˜⊆H, 1B−H˜⊆T. Since G˜∩H=0B, G˜⊆1B−H, and so, by˜∈G˜⊆Clψω(G)˜⊆Clψω(1B−H)=1B−H˜⊆T.
Sufficiency. Let L∈ψc and by˜∈1B−L. By assumption, we find G∈ψ with by˜∈G˜⊆Clψω(G)˜⊆1B−L. Set H=1B−Clψω(G). Then, H∈ψω, L˜⊆H, and G˜∩H=0B. Consequently, (U,ψ,B) is supra-soft ω-r.
Theorem 5.3. If (U,ψ,B) is supra-soft ω -L-I, then (U,ψ,B) is supra-soft ω-r.
Proof: Let T∈ψ and by˜∈T. Since (U,ψ,B) is supra-soft ω-L-I, T∈(ψω)c, and so, T= Clψω(T). Hence, we have T∈ψ and by˜∈T˜⊆Clψω(T)˜⊆T. Thus, by Theorem 5.2, (U,ψ,B) is supra-soft ω-r.
Corollary 5.4. If (U,ψ,B) is supra-soft L-C, then (U,ψ,B) is supra-soft ω-r.
Proof: This follows from Theorems 4.4 and 5.3.
Theorem 5.5. Supra-soft regularity implies supra-soft ω -regularity.
Proof: Let (U,ψ,B) be supra-soft regular. Let T∈ψ and by˜∈T. By the supra-soft regularity of (U,ψ,B), we find G∈ψ with by˜∈G˜⊆Clψ(G)˜⊆T. Since Clψω(G)˜⊆Clψ(G), we have by˜∈G˜⊆Clψω(G)˜⊆Clψ(G)˜⊆T. Consequently, (U,ψ,B) is supra-soft ω-r.
Lemma 5.6. Let (U,ψ,B) be a supra-STS and let K∈SS(U,B). Then, for every b∈B, Clψb(K(b))⊆(Clψ(K))(b).
Proof: Let y∈Clψb(K(b)). We show that by˜∈Clψ(K). Let G∈ψ with by˜∈G. We then have y∈G(b)∈ψb. Since y∈Clψb(K(b)), K(b)∩G(b)≠∅. Thus, (K˜∩G)(b)=K(b)∩G(b)≠∅, and hence, K˜∩G≠0B. It follows that by˜∈Clψ(K).
Theorem 5.7. If (U,ψ,B) is supra-soft regular, then (U,ψb) is supra-regular for all b∈B.
Proof: Let (U,ψ,B) be supra-soft regular and let b∈B. Let V∈ψb and y∈V. Choose T∈ψ with T(b)=V. Then, by˜∈T∈ψ, and, by the supra-soft regularity of (U,ψ,B), we find G∈ψ with by˜∈G˜⊆Clψ(G)˜⊆T. Thus, we have G(b)∈ψb, and, by Lemma 5.6, y∈G(b)⊆Clψb(G(b))⊆(Clψ(G))(b)⊆T(b)=V. Consequently, (U,ψb) is supra-regular.
Lemma 5.8. Let {(U,ψb):b∈B} be a family of supra-TSs and let K∈SS(U,B). Then, Clψa(K(a))=(Cl⊗b∈BψbK)(a) for every a∈B.
Proof: Let a∈B. Then, by Lemma 5.6, Cl(⊗b∈Bψb)a(K(a))⊆(Cl⊗b∈Bψb(K))(a). Moreover, by Theorem 2.5, (⊗b∈Bψb)a=ψa. Hence, Clψa(K(a))⊆(Cl⊗b∈BψbK)(a). To demonstrate that (Cl⊗b∈BψbK)(a)⊆Clψa(K(a)), let y∈(Cl⊗b∈BψbK)(a), and let V∈ψa with y∈V. We then have ay˜∈aV∈⊗b∈Bψb. Since y∈(Cl⊗b∈BψbK)(a), ay˜∈Cl⊗b∈BψbK, and so, aV˜∩K≠0B. Consequently, V∩K(a)≠∅. This shows that y∈Clψa(K(a)).
Lemma 5.9. Let {(U,ψb):b∈B} be a family of supra-TSs. Then, for any a∈B and V⊆U, Cl⊗b∈Bψb(aV)=aClψa(V).
Proof: Let a∈B and V⊆U. Let b∈B. Then, by Lemma 5.8, (Cl⊗b∈BψbaV)(b)=Clψa(aV(b))={Clψa(V)ifb=a,∅ifb≠a.
Consequently, Cl⊗b∈Bψb(aV)=aClψa(V).
Theorem 5.10.Let {(U,ψb):b∈B} be a family of supra-TSs. Then, (U,⊗b∈Bψb,B) is supra-soft regular if (U,ψb) is supra-regular for all b∈B.
Proof: Necessity. Let (U,⊗b∈Bψb,B) be supra-soft regular. Then, by Theorem 5.7, (U,(⊗b∈Bψb)b,B) is supra-regular for all b∈B. But, by Theorem 2.5, (⊗b∈Bψb)b=ψb for all b∈B. This completes the proof.
Sufficiency. Let (U,ψb) be supra-regular for all b∈B. Let T∈⊗b∈Bψb and let ay˜∈T. Then, y∈T(a)∈ψa and, by the supra-regularity of (U,ψa), we find V∈ψa with y∈V⊆Clψa(V)⊆T(a). Consequently, we have ay˜∈aV∈⊗b∈Bψb , and, by Lemma 5.9, Cl⊗b∈Bψb(aV)=aClψa(V)˜⊆T. Therefore, (U,⊗b∈Bψb,B) is supra-soft regular.
Corollary 5.11.Let (U,ℵ) be a supra-TS and B be a set of parameters. Then (U,μ(ℵ),B) is supra-soft regular iff (U,ℵ) is supra-regular.
Proof: For every b∈B, set ℵb=ℵ. Then, μ(ℵ)=⊗b∈Bψb. Theorem 5.10 completes the proof.
Theorem 5.12. If (U,ψ,B) is supra-soft ω-r, then (U,ψa) is supra-ω-regular for all a∈B.
Proof: Let (U,ψ,B) be supra-soft ω-r and let a∈B. Let V∈ψa and y∈V. Pick T∈ψ with T(a)=T. We then have ay˜∈T∈ψ, and, by the supra-soft ω-regularity of (U,ψ,B) and Theorem 5.2, we find G∈ψ with ay˜∈G˜⊆Clψω(G)˜⊆T. Thus, we have G(a)∈ψa, and, by Lemma 5.6, y∈G(a)⊆Clψω(G(a))⊆(Clψω(G))(a)⊆T(a)=V. Consequently, (U,ψa) is supra-ω-regular.
Theorem 5.13. Let {(U,ψb):b∈B} be a family of supra-TSs. Then, (U,⊗b∈Bψb,B) is supra-soft ω-r iff (U,ψb) is supra-ω-regular for all a∈B.
Proof: Necessity. Let (U,⊗b∈Bψb,B) be supra-soft ω-r. Then, by Theorem 5.12, (U,(⊗b∈Bψb)b,B) is supra-ω-regular for all b∈B. But, by Theorem 2.5, (⊗b∈Bψb)b=ψb for all b∈B. This completes the proof.
Sufficiency. Let (U,ψb) be supra-ω-regular for all b∈B. Let T∈⊗b∈Bψb, and let ay˜∈T. Then, y∈T(a)∈ψa. Since (U,ψa) is supra-ω-regular, we find V∈ψa with y∈V⊆Cl(ψa)ω(V)⊆T(a). Consequently, we have ay˜∈aV∈⊗b∈Bψb and, by Lemma 5.9, Cl⊗b∈B(ψb)ω(aV)=aCl(ψa)ω(V)˜⊆T. Moreover, by Theorem 3.10, (⊗b∈Bψb)ω=⊗b∈B(ψb)ω. Consequently, Cl⊗b∈B(ψb)ω(aV)=Cl(⊗b∈Bψb)ω(aV). This shows that (U,⊗b∈Bψb,B) is supra-soft ω-r.
Corollary 5.14. Let (U,ℵ) be a supra-TS and B be a set of parameters. Then (U,μ(ℵ),B) is supra-soft ω-r iff (U,ℵ) is supra-ω-regular.
Proof: For every b∈B, set ℵb=ℵ. Then, μ(ℵ)=⊗b∈Bψb. Theorem 5.13 completes the proof.
The opposites of Theorem 5.3 and Corollary 5.4 are false.
Example 5.15. Let B={s,t}. Let ψs and ψt be the usual and the discrete topologies on R. Consider the supra-STS (R,⊗b∈Bψb,B). Then, the supra-TSs (R,ψs) and (R,ψt) are supra-regular. Thus, by Theorem 5.10, (R,⊗b∈Bψb,B) is supra-soft regular. Hence, by Theorem 5.5, (R,⊗b∈Bψb,B) is supra-soft ω-r. Conversely, since (−∞,0)∈ψs−((ψs)ω)c, (R,ψs) is not supra-ω-L-I. So, by Theorem 4.11, (R,⊗b∈Bψb,B) is not supra-soft ω-L-I. Moreover, clearly, (R,⊗b∈Bψb,B) is not supra-soft L-C.
The contrary of Theorem 5.5 is generally untrue.
Example 5.16. Let U=Z, B=R, and ℵ be the cofinite topology on U. Then, (U,ℵ) is not supra-regular. So, by Corollary 5.11, (U,μ(ℵ),B) is not supra-soft regular. Since (U,μ(ℵ),B) is supra-soft L-C, by Corollary 5.4, (U,μ(ℵ),B) is supra-soft ω-r.
Example 5.17. Consider (U,ψ,B) as shown in Example 4.13. In Example 4.13, we showed that both (U,ψs) and (U,ψt) are supra-L-I, which means they are supra-regular and thus are supra-ω -regular. Assume that (U,ψ,B) is supra-soft ω-r. If we let y=−1, then ty˜∈1B−(1B−T) with 1B−T∈ψc. Therefore, we find G∈ψ and H∈ψω with ty˜∈G, 1B−T˜⊆H, and G˜∩H=0B. One can easily check that we must have ty˜∈T˜⊆G, and so T˜∩H=0B. Thus, H˜⊆1B−T, which implies that H=1B−T. But we have shown in Example 4.13 that 1B−T∉(ψω)c. Consequently, (U,ψ,B) is not supra-soft ω-r, and, by Theorem 5.5, (U,ψ,B) is not supra-soft regular.
Theorem 5.18. If (U,ψ,B) is supra-soft A-L-C and supra-soft ω-r, then (U,ψ,B) is supra-soft regular.
Proof: This follows from the definitions and Theorem 3.23.
Theorem 5.19. Let (U,ψ,B) and (V,ϕ,D) be two supra-STSs. In this case:
(a) (pr(ψ×ϕ))ω⊆pr(ψω×ϕω);
(b) For any S∈SS(U,B) and K∈SS(V,D), Clψω(S)×Clϕω(K)˜⊆Cl(pr(ψ×ϕ))ω(S×K).
Proof: (a) Let T∈(pr(ψ×ϕ))ω and let (s,t)(x,y)˜∈T. We then find L∈pr(ψ×ϕ) and H∈CSS(U×V,B×D) with (s,t)(x,y)˜∈L−H˜⊆T. Choose F∈ψ and G∈ϕ with (s,t)(x,y)˜∈F×G˜⊆L. Set M=(˜∪{cz:(c,d)(z,w)˜∈H for some dw˜∈SP(V,D)})−sx and N=(˜∪{dw:(c,d)(z,w)˜∈H for some cz˜∈SP(U,B)})−ty. Then, M∈CSS(U,B) and N∈CSS(V,D). Therefore, we have F−M∈ ψω, G−N∈ϕω, and (s,t)(x,y)˜∈(F−M)×(G−N)˜⊆(F×G)−(M×N)˜⊆L−H˜⊆T. Consequently, T∈pr(ψω×ϕω).
(b) Let (s,t)(x,y)˜∈Clψω(S)×Clϕω(K), and let T∈(pr(ψ×ϕ))ω with (s,t)(x,y)˜∈T. By (a), T∈pr(ψω×ϕω), and thus, we find W∈ψω and E∈ϕω with (s,t)(x,y)˜∈W×E˜⊆T. Since sx˜∈W˜∩Clψω(S) and ty˜∈E˜∩Clϕω(K), W˜∩S≠0B and E˜∩K≠0D. Consequently, (W×E)˜∩(S×K)≠0B×D, and hence, T˜∩(S×K)≠0B×D. This implies that (s,t)(x,y)˜∈Cl(pr(ψ×ϕ))ω(S×K).
Theorem 5.20. Let (U,ψ,B) and (V,ϕ,D) be two supra-STSs. If (U×V,pr(ψ×ϕ),B×D) is supra-soft ω-r, then (U,ψ,B) and (V,ϕ,D) are supra-soft ω-r.
Proof: Let F∈ψ, G∈ϕ, sx˜∈F, and ty˜∈G. Then, (s,t)(x,y)˜∈F×G ∈ pr(ψ×ϕ), and, by the supra-soft ω-regularity of (U×V,pr(ψ×ϕ),B×D), we find K∈pr(ψ×ϕ) with (s,t)(x,y)˜∈K˜⊆Cl(pr(ψ×ϕ))ω(K)˜⊆F×G. Choose S∈ψ and T∈ϕ with (s,t)(x,y)˜∈S×T˜⊆K. Then, by Theorem 5.19 (b), (s,t)(x,y)˜∈S×T˜⊆Clψω(S)×Clϕω(T)˜⊆Cl(pr(ψ×ϕ))ω(T×S)˜⊆Cl(pr(ψ×ϕ))ω(K)˜⊆F×G. Consequently, we have sx˜∈S˜⊆Clψω(S)˜⊆F and ty˜∈T˜⊆Clψω(T)˜⊆G. It follows that (U,ψ,B) and (V,ϕ,D) are supra-soft ω-r.
Question 5.21. Let (U,ψ,B) and (V,ϕ,D) be two supra-soft ω-r supra-STSs. Is (U×V,pr(ψ×ϕ),B×D) supra-soft ω-r?
Theorem 5.22. If (U,ψ,B) is a supra-soft ω-r supra-STS, then for any ∅≠V⊆U, (V,ψV,B) is supra-soft ω-r.
Proof: Let M∈(ψV)c and by˜∈CV−M. Choose N∈ ψc with M=N˜∩CV. Since (U,ψ,B) is a supra-soft ω-r, and we have N∈ ψc and by˜∈1B−N, we find F∈ψ and G∈ψω with ay˜∈F, N˜⊆G, and F˜∩G=0B. Then, by˜∈F˜∩CV∈ψV, M=N˜∩CV˜⊆G˜∩CV with G˜∩CV∈(ψω)V, and (F˜∩CV)˜∩(G˜∩CV)=(F˜∩G)˜∩CV=0B˜∩CV=0B. Moreover, by Theorem 3.19, G˜∩CV∈(ψV)ω. This completes the proof.
Soft set theory demonstrates its effectiveness as a mathematical strategy for addressing uncertainty, which is crucial for cognitive analysis and artificial intelligence. Based on soft set theory, many mathematical structures have emerged, including soft topologies and some of their extensions, such as supra-soft topologies.
In this paper, we first defined and investigated a new supra-soft topology using a collection of classical supra-topologies. We then defined supra-soft ω-open sets, a new generalization of supra-soft open sets, using the supra-soft open sets and the countable soft sets. We also showed that supra-soft ω-open sets form a new supra-soft set that is finer than the given supra-soft topology. Finally, we defined and investigated two new classes of supra-topological spaces: supra-soft ω-local indiscrete and supra-soft ω-regular spaces. Specifically, we obtained subspace and product results of supra-soft ω-regular spaces. Finally, we explored the connections between our new concepts and their counterparts in supra-topology.
We intend to do the following in the future papers:
(ⅰ) Define new continuity concepts between supra-soft topological spaces via supra-soft ω-open sets.
(ⅱ) Define supra-soft semi ω-open sets in supra-soft topological spaces.
(ⅲ) Define soft ω-Hausdorff spaces in supra-soft topological spaces.
(ⅳ) Explore how our new notions and results can be applied in digital and approximation spaces, as well as decision-making problems.
(ⅴ) Define supra-fuzzy ω-open sets in supra-fuzzy topological spaces.
Dina Abuzaid and Samer Al-Ghour: Conceptualization, methodology, formal analysis, writing–original draft, writing–review and editing, and funding acquisition. All authors have read and approved the final version of the manuscript for publication.
The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.
The authors declare that they have no conflicts of interest.
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