Topological Structures of Sets and their Subsets
Fei Ma, Bing Yao
TL;DR
This paper develops a topological framework for hypergraphs by leveraging the natural topological structure of finite sets and their subsets to visualize and analyze both ordinary and non-ordinary hypergraphs. It introduces a visualization approach based on ve-intersected graphs and the Topcode-matrix to encode total colorings, constraints, and hypergraph relations, and formalizes 3I-hyperedge sets with fixed-point, strong, and additive-set structures. It then categorizes non-ordinary hypergraphs into topology-, code-, and operation-hypergraphs, detailing constructions such as $K_{tree}$- and $F_{orest}$-hypergraphs, $E_{hami}$-hypergraphs, and $G$-hypergraphs, as well as code- and parameterized-hypergraphs with diverse coloring schemes and homomorphism notions. The framework provides a rich toolkit for visualization, coloring theory, and structural analysis with potential applications in secure computation, data modeling, and topology-aware graph processing.
Abstract
For real application and theoretical investigation of ordinary hypergraphs and non-ordinary hypergraphs, researchers need to establish standard rules and feasible operating methods. We propose a visualization tool for investigating hypergraphs by means of the natural topological structure of finite sets and their subsets, so we are able to construct various non-ordinary hypergraphs, and to reveal topological properties (such as hamiltonian cycles, maximal planar graphs), colorings, connectivity, hypergraph group, isomorphism and homomorphism of hypergraphs.
