Research article

Topologically indistinguishable relations and separation axioms

  • Received: 18 March 2024 Revised: 11 April 2024 Accepted: 17 April 2024 Published: 30 April 2024
  • MSC : 54A05, 54A10, 54C50

  • This study focuses on defining separation axioms for sets without an inherent topological structure. By utilizing a mapping to relate such sets to a topological space, we first define a distinguishable relation over the universal set with respect to the neighborhood systems inspired by a topology of the co-domain set and elucidate its basic properties. To facilitate the way of discovering this distinguishable relation, we initiate a color technique for the equivalence classes inspired by a given topology. Also, we provide an algorithm to determine distinguishable members (or objects) under study. Then, we establish a framework for introducing separation properties within these structureless sets and examine their master characterizations. To better understand the obtained results and relationships, we display some illustrative instances.

    Citation: S. Demiralp, Tareq M. Al-shami, Fuad A. Abushaheen, Alaa M. Abd El-latif. Topologically indistinguishable relations and separation axioms[J]. AIMS Mathematics, 2024, 9(6): 15701-15723. doi: 10.3934/math.2024758

    Related Papers:

  • This study focuses on defining separation axioms for sets without an inherent topological structure. By utilizing a mapping to relate such sets to a topological space, we first define a distinguishable relation over the universal set with respect to the neighborhood systems inspired by a topology of the co-domain set and elucidate its basic properties. To facilitate the way of discovering this distinguishable relation, we initiate a color technique for the equivalence classes inspired by a given topology. Also, we provide an algorithm to determine distinguishable members (or objects) under study. Then, we establish a framework for introducing separation properties within these structureless sets and examine their master characterizations. To better understand the obtained results and relationships, we display some illustrative instances.



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