On \Lambda e^*-Open and \Lambda e^*-Closed Sets in Topological Spaces and Their Use in Financial Risk Assessment
Abstract
In this paper, the notions of \Lambda e^*-open and \Lambda e^*-closed sets are introduced and studied within the framework of general topology. Several fundamental results and characterizations are established, including their relationships with e^*-open sets, regular closed sets, and various separation axioms. The interplay between \Lambda e^*-sets and classical topological structures is examined through a sequence of lemmas and theorems. Furthermore, the developed concepts are applied to construct a mathematical model for low-risk stock selection. Specifically, the properties of \Lambda e^*-sets are utilized to filter stocks that maintain topological stability under uncertainty, providing a novel approach to identifying financially stable investment options within a given market.
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