Table of Contents
Fetching ...

Profile and neighbourhood complexity of graphs excluding a minor and tree-structured graphs

Laurent Beaudou, Jan Bok, Florent Foucaud, Daniel A. Quiroz, Jean-Florent Raymond

TL;DR

This work advances the understanding of r-neighbourhood and r-profile complexities across structured graph classes. It introduces and leverages guarding sets, least common ancestor closures, and refined colourings to derive near-optimal bounds for graphs with bounded treewidth, outerplanar graphs, and several minor- and expansion-closed classes, including chordal, interval, and treelength-bounded graphs. Key results include pc_r(G,k) = O_t(r^{t+1}k) for treewidth-bounded graphs, pc_r(G,k) = O(r^2k) for outerplanar graphs, and explicit minor-exclusion bounds pc_r(G,k) ≤ 4^h(h-3)h^{2(h-1)}(r+1)^{3(h-1)}k for K_h-minor-free graphs, among others. The paper also connects these complexities to metric dimension and locating-dominating sets, and poses several open questions on tightness and extensions to new graph classes and expansions.

Abstract

The \emph{$r$-neighbourhood complexity} of a graph $G$ is the function counting, for a given integer $k$, the largest possible number, over all vertex-subsets $A$ of size $k$, of subsets of $A$ realized as the intersection between the $r$-neighbourhood of some vertex and $A$. A~refinement of this notion is the \emph{$r$-profile complexity}, that counts the maximum number of distinct distance-vectors from any vertex to the vertices of $A$, ignoring distances larger than~$r$. Typically, in structured graph classes such as graphs of bounded VC-dimension or chordal graphs, these functions are bounded, leading to insights into their structural properties and efficient algorithms. We improve existing bounds on the $r$-profile complexity (and thus on the $r$-neighbourhood complexity) for graphs in several structured graph classes. We show that the $r$-profile complexity of graphs excluding $K_h$ as a minor is in $O_h(r^{3h-3}k)$. For graphs of treewidth at most~$t$, we give a bound in $O_t(r^{t+1}k)$, which is tight up to a function of~$t$ as a factor. These bounds improve results of Joret and Rambaud and answer a question of their paper [Combinatorica, 2024]. We also apply our methods to other classes of bounded expansion such as graphs excluding a fixed complete graph as a subdivision. For outerplanar graphs, we can improve our treewidth bound by a factor of $r$ and conjecture that a similar improvement holds for graphs with bounded simple treewidth. For graphs of treelength at most~$\ell$, we give the upper bound of $O(k(r^2(\ell+1)^k))$, which we improve to $O\left (k\cdot (r 2^k + r^2k^2) \right)$ in the case of chordal graphs and $O(k^2r)$ for interval graphs. Our bounds also imply relations between the order, diameter and metric dimension of graphs in these classes, improving results from [Beaudou et al., SIDMA 2017].

Profile and neighbourhood complexity of graphs excluding a minor and tree-structured graphs

TL;DR

This work advances the understanding of r-neighbourhood and r-profile complexities across structured graph classes. It introduces and leverages guarding sets, least common ancestor closures, and refined colourings to derive near-optimal bounds for graphs with bounded treewidth, outerplanar graphs, and several minor- and expansion-closed classes, including chordal, interval, and treelength-bounded graphs. Key results include pc_r(G,k) = O_t(r^{t+1}k) for treewidth-bounded graphs, pc_r(G,k) = O(r^2k) for outerplanar graphs, and explicit minor-exclusion bounds pc_r(G,k) ≤ 4^h(h-3)h^{2(h-1)}(r+1)^{3(h-1)}k for K_h-minor-free graphs, among others. The paper also connects these complexities to metric dimension and locating-dominating sets, and poses several open questions on tightness and extensions to new graph classes and expansions.

Abstract

The \emph{-neighbourhood complexity} of a graph is the function counting, for a given integer , the largest possible number, over all vertex-subsets of size , of subsets of realized as the intersection between the -neighbourhood of some vertex and . A~refinement of this notion is the \emph{-profile complexity}, that counts the maximum number of distinct distance-vectors from any vertex to the vertices of , ignoring distances larger than~. Typically, in structured graph classes such as graphs of bounded VC-dimension or chordal graphs, these functions are bounded, leading to insights into their structural properties and efficient algorithms. We improve existing bounds on the -profile complexity (and thus on the -neighbourhood complexity) for graphs in several structured graph classes. We show that the -profile complexity of graphs excluding as a minor is in . For graphs of treewidth at most~, we give a bound in , which is tight up to a function of~ as a factor. These bounds improve results of Joret and Rambaud and answer a question of their paper [Combinatorica, 2024]. We also apply our methods to other classes of bounded expansion such as graphs excluding a fixed complete graph as a subdivision. For outerplanar graphs, we can improve our treewidth bound by a factor of and conjecture that a similar improvement holds for graphs with bounded simple treewidth. For graphs of treelength at most~, we give the upper bound of , which we improve to in the case of chordal graphs and for interval graphs. Our bounds also imply relations between the order, diameter and metric dimension of graphs in these classes, improving results from [Beaudou et al., SIDMA 2017].
Paper Structure (16 sections, 31 theorems, 32 equations)

This paper contains 16 sections, 31 theorems, 32 equations.

Key Result

Lemma 4

Let $\mathcal{C}$ be a graph class stable by the operation of adding pendant vertices (i.e., whenever one attaches a new vertex of degree one to any vertex of a graph in $\mathcal{C}$, the resulting graph is in $\mathcal{C}$ as well). If there exists a function $f_{\mathcal{C}}: \mathbb{N}^2 \righta

Theorems & Definitions (49)

  • Definition 1: neighborhood complexity, $\mathop{\mathrm{nc}}\nolimits_r$, $N_r$
  • Definition 2: profile, $p_r$, $\mathop{\mathrm{Cap}}\nolimits_r$
  • Definition 3: profile complexity, $\mathop{\mathrm{pc}}\nolimits_r$
  • Lemma 4: JR
  • Theorem 5: JR
  • Theorem 6
  • Theorem 7
  • Theorem 8
  • Theorem 9
  • Theorem 10
  • ...and 39 more