The Hamiltonian Cycle in $K_{1,r}$-free Split Graphs -- A Dichotomy
P. Renjith, N. Sadagopan

TL;DR
This paper establishes a clear complexity dichotomy for the Hamiltonian cycle problem in split graphs, showing NP-completeness in certain classes and polynomial-time solvability in others, advancing understanding of graph structure impacts.
Contribution
The paper proves NP-completeness of HCYCLE in $K_{1,5}$-free split graphs and provides polynomial algorithms for $K_{1,3}$-free and $K_{1,4}$-free split graphs, revealing structural complexity boundaries.
Findings
NP-complete in $K_{1,5}$-free split graphs
Polynomial-time algorithms for $K_{1,3}$-free and $K_{1,4}$-free split graphs
Structural results suggest similar dichotomies for related problems
Abstract
In this paper, we investigate the well-studied Hamiltonian cycle problem (HCYCLE), and present an interesting dichotomy result on split graphs. T. Akiyama et al. (1980) have shown that HCYCLE is NP-complete in planar bipartite graphs with maximum degree . Using this reduction, we show that HCYCLE is NP-complete in split graphs. In particular, we show that the problem is NP-complete in -free split graphs. Further, we present polynomial-time algorithms for Hamiltonian cycle in -free and -free split graphs. We believe that the structural results presented in this paper can be used to show similar dichotomy result for Hamiltonian path problem (HPATH) and other variants of HCYCLE.
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 Graph Theory Research · Limits and Structures in Graph Theory · Complexity and Algorithms in Graphs
