Iteration of the mincut graph operator
Christo Kriel, Eunice Mphako-Banda

TL;DR
This paper investigates the properties of the mincut graph operator, focusing on its iterative effects, fixed points, and convergence, revealing conditions for stability and posing open questions for future research.
Contribution
It characterizes graphs that remain unchanged under the mincut operator and proves that no graph diverges when the operator is iterated.
Findings
Graphs that are super edge-connected and regular are fixed points.
No graph diverges under repeated application of the mincut operator.
The paper establishes necessary and sufficient conditions for stability.
Abstract
A graph operator is a mapping which maps every graph from some class of graphs to a new graph . In this paper, we introduce and study the properties of the mincut operator, specifically the effects of iteration of the operator. We show that the property of being super edge-connected and regular is both necessary and sufficient for a graph to remain fixed under the mincut operator. Furthermore, we show that no graph diverges under iteration of this operator. We conclude by stating further research questions on the mincut operator.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Optimization Algorithms Research · Matrix Theory and Algorithms · Metaheuristic Optimization Algorithms Research
