Mathematics > Combinatorics
[Submitted on 4 Sep 2023 (v1), last revised 9 Apr 2024 (this version, v3)]
Title:Thick Forests
View PDFAbstract:We consider classes of graphs, which we call thick graphs, that have the vertices of a corresponding thin graph replaced by cliques and the edges replaced by cobipartite graphs. In particular, we consider the case of thick forests, which are a class of perfect graphs. Whereas recognising membership of most classes of thick graphs is NP-complete, we show that thick forests can be recognised in polynomial time. We consider two well-studied combinatorial problems on thick graphs, independent sets and proper colourings. Since finding the independence or chromatic number of a perfect graph is well known to be in polynomial time, we examine the complexity of counting all independent sets and colourings in a thick forest. Finally, we consider two extensions of our results to larger classes: thick triangle-free graphs and thick bounded-treewidth graphs.
Submission history
From: Martin Dyer [view email][v1] Mon, 4 Sep 2023 09:36:51 UTC (43 KB)
[v2] Wed, 25 Oct 2023 21:37:15 UTC (44 KB)
[v3] Tue, 9 Apr 2024 09:12:52 UTC (48 KB)
Current browse context:
math.CO
References & Citations
Bibliographic and Citation Tools
Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)
Code, Data and Media Associated with this Article
alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)
Demos
Recommenders and Search Tools
Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)
arXivLabs: experimental projects with community collaborators
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.
Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.
Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.