Count and cofactor matroids of highly connected graphs
D\'aniel Garamv\"olgyi, Tibor Jord\'an, Csaba Kir\'aly

TL;DR
This paper investigates the properties of count and cofactor matroids on highly connected graphs, establishing bounds that link connectivity with matroid rank and uniqueness of graph determination, extending classical theorems.
Contribution
It provides tight bounds connecting high connectivity with matroid properties, unifies previous results, and generalizes Whitney's theorem to broader classes of matroids.
Findings
Highly connected graphs have maximum rank in associated matroids after edge removal.
High connectivity ensures the matroids are connected and have high vertical connectivity.
Highly connected graphs are uniquely determined by their count and cofactor matroids.
Abstract
We consider two types of matroids defined on the edge set of a graph : count matroids , in which independence is defined by a sparsity count involving the parameters and , and the (three-dimensional generic) cofactor matroid , in which independence is defined by linear independence in the cofactor matrix of . We give tight lower bounds, for each pair , that show that if is sufficiently highly connected, then has maximum rank for all , and is connected. These bounds unify and extend several previous results, including theorems of Nash-Williams and Tutte (), and Lov\'asz and Yemini (). We also prove that if is highly connected, then the vertical connectivity of is also high. We use these results to generalize Whitney's celebrated result on…
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 · Graph theory and applications · Complexity and Algorithms in Graphs
