On the structure of a smallest counterexample and a new class verifying the 2-Decomposition Conjecture
F. Botler, A. Jim\'enez, M. Sambinelli, Y. Wakabayashi

TL;DR
This paper investigates the 2-Decomposition Conjecture in graph theory, analyzing the structure of minimal counterexamples and proving the conjecture for specific graph classes, advancing understanding towards a general proof.
Contribution
It characterizes structural properties of minimal counterexamples and proves the conjecture for graphs with certain cactus-like structures of degree-3 vertices.
Findings
Minimum counterexamples have girth at least 5.
Vertices of degree 2 in minimal counterexamples are at least 3 edges apart.
The conjecture holds for graphs where degree-3 vertices form a collection of cycles.
Abstract
The 2-Decomposition Conjecture, equivalent to the 3-Decomposition Conjecture stated in 2011 by Hoffmann-Ostenhof, claims that every connected graph with vertices of degree 2 and 3, for which is disconnected for every cycle , admits a decomposition into a spanning tree and a matching. In this work we present two main results focused on developing a strategy to prove the 2-Decomposition Conjecture. One of them is a list of structural properties of a minimum counterexample for this conjecture. Among those properties, we prove that a minimum counterexample has girth at least 5 and its vertices of degree 2 are at distance at least 3. Motivated by the class of smallest counterexamples, we show that the 2-Decomposition Conjecture holds for graphs whose vertices of degree 3 induce a collection of cacti in which each vertex belongs to a cycle. The core of the proof of…
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
Topicsgraph theory and CDMA systems · Limits and Structures in Graph Theory · Advanced Graph Theory Research
