Papers
Topics
Authors
Recent
Search
2000 character limit reached

Shallow vertex minors, stability, and dependence

Published 1 May 2024 in math.CO | (2405.00408v1)

Abstract: Stability and dependence are model-theoretic notions that have recently proved highly effective in the study of structural and algorithmic properties of hereditary graph classes, and are considered key notions for generalizing to hereditary graph classes the theory of sparsity developed for monotone graph classes (where an essential notion is that of nowhere dense class). The theory of sparsity was initially built on the notion of shallow minors and on the idea of excluding different sets of minors, depending on the depth at which these minors can appear. In this paper, we follow a similar path, where shallow vertex minors replace shallow minors. In this setting, we provide a neat characterization of stable / dependent hereditary classes of graphs: A hereditary class of graphs $\mathscr C$ is (1) dependent if and only if it does not contain all permutation graphs and, for each integer $r$, it excludes some split interval graph as a depth-$r$ vertex minor; (2) stable if and only if, for each integer $r$, it excludes some half-graph as a depth-$r$ vertex minor. A key ingredient in proving these results is the preservation of stability and dependence of a class when taking bounded depth shallow vertex minors. We extend this preservation result to binary structures and get, as a direct consequence, that bounded depth shallow vertex minors of graphs with bounded twin-width have bounded twin-width.

Citations (1)

Summary

No one has generated a summary of this paper yet.

Paper to Video (Beta)

No one has generated a video about this paper yet.

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Collections

Sign up for free to add this paper to one or more collections.

Tweets

Sign up for free to view the 2 tweets with 0 likes about this paper.