Submitted:
01 July 2025
Posted:
02 July 2025
You are already at the latest version
Abstract
Keywords:
1. Preliminaries
1.1. Power Graph and Directed Power Graph
- 1.
- Associativity: For all ,
- 2.
- Identity: There exists a unique element such that for all ,
- 3.
- Inverse: For each , there exists an element such that
1.2. SuperHyperGraph
- A finite vertex set .
- A finite collection of nonempty subsets of , called hyperedges.
- is finite (since G is finite or else this construction still formally applies).
- Each is a nonempty subset of G, and by construction .
1.3. Directed SuperHyperGraph
- V is a finite set of vertices, and
- E is a set of directed hyperedges.
- By construction, and is nonempty.
- Each and is a nonempty subset of V, since .
- Thus every is an element of .
2. Main Results
- Every n-th power graph can be realized as a special case of an n-SuperHyperGraph.
- Every directed n-th power graph can be realized as a special case of a directed n-SuperHyperGraph.
2.1. n-th Power Graphs
2.2. Directed n-th Power Graphs
- 1.
- coincides with the classical power graph of Definition 1.2.
- 2.
- coincides with the directed power graph of Definition 1.4.
- 3.
- The vertex sets satisfy , so is a nested family reflecting the iterated powerset .
- 1.
- By the Definition, . Hence the adjacency rule in reduces exactly to “ or ” for , which is the condition defining .
- 2.
- Likewise, has vertex set G and an arc precisely when for some m, matching Definition 1.4.
- 3.
- From , every element of is also a (singleton) element of . Thus for all k, and the sequence of graphs grows strictly (or stabilizes) with n. This nesting mirrors the iterated powerset structure.
3. Conclusion and Future Work
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Ethical Approval
Disclaimer
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