Searcharxiv⌕ Search

arXiv · 2610.09443

Characterizing chordal $\llcorner$-EPG graphs via admissible clique tree orientations

Abstract

A $k$-bend path is a non-self-intersecting polyline that lies on a grid and consists of at most $k+1$ axis-parallel line segments. An $\llcorner$-EPG graph is a graph whose vertices can be represented by 1-bend paths on a grid, where each path is either $\llcorner$, $\shortmid$, or $\text{-}$, such that two vertices are adjacent if and only if the corresponding paths share at least one grid edge. Characterizing chordal $\llcorner$-EPG graphs was explicitly posed as an open problem by Cameron, Chaplick, and Hoàng. We resolve this by giving two equivalent characterizations of connected chordal $\llcorner$-EPG graphs. The first assigns to every connected chordal $\llcorner$-EPG graph an ordered clique partition tree of its vertex set, where the underlying tree is the bipartite incidence graph of the horizontal and vertical edge-intersection components. The second is stated purely in terms of maximal cliques: a connected chordal graph is $\llcorner$-EPG if and only if some clique tree admits an admissible partial orientation. A reduction lemma replaces local clique labels by maximal cliques, linking the two characterizations. For a prescribed clique tree, the existence of an admissible partial orientation reduces to 2-SAT and is decided in $O(nM^2)$ time, where $n$ and $M$ are the numbers of vertices and maximal cliques. Finally, we show that strong chordality is not sufficient: we exhibit a strongly chordal graph that is a minimal forbidden induced subgraph for $\llcorner$-EPG, and a family of split graphs with a unique clique tree for which membership in $\llcorner$-EPG reduces to a neighborhood condition.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Bin Sun, Shou-Jun Xu, Yu Yang. 2026-10-07. Characterizing chordal $\llcorner$-EPG graphs via admissible clique tree orientations. https://arxiv.org/abs/2610.09443

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Partitioning perfect graphs into comparability graphs

We study how many comparability subgraphs are needed to partition the edge set of a perfect graph. We show that many classes of perfect graphs can be partitioned into (at most) two comparability subgraphs and this holds for almost all perfect graphs. On the other hand, we prove that for interval graphs an arbitrarily large number of comparability subgraphs might be necessary.

math.CO↗

On the homogeneity problem of the Kazhdan-Lusztig ideals

In this paper, our purpose is to find some techniques to identify inhomogeneous Kazhdan-Lusztig ideals. A set of generators of a Kazhdan-Lusztig ideal corresponds to some minors in some southwest submatrices inside some ambient matrix. We have defined a notion called a path inside a square matrix as a tool to work with determinants of the above mentioned minors. Using paths, we derive necessary and sufficient conditions for when such minors are inhomogeneous, singular, non-singular, and when there is divisibility between two terms of two such distinct minors. As a conclusion, we first provide an algorithm through which we can identify some sufficient conditions for a Kazhdan-Lusztig ideal to be inhomogeneous (by utilizing all the above mentioned results). Secondly, we provide certain sufficient conditions for a Kazhdan-Lusztig ideal to be standard homogeneous, and then we also prove that under certain assumptions, these conditions are also necessary for a Kazhdan-Lusztig ideal to be standard homogeneous.

math.CO↗

Random Permutation Matrices Form a Basis with High Probability

Let $d=(n-1)^2+1$, the dimension of the real linear span of the $n\times n$ permutation matrices. We prove that $d$ independent uniformly random permutation matrices fail to form a basis with probability $(1+o(1))n^2(1-1/n)^d=(e^{3/2}+o(1))n^2e^{-n}$. The same asymptotic holds for a uniformly random $d$-element subset, confirming a conjecture of Kushwaha and Tripathi and identifying the leading obstruction: a matrix position avoided by every sample. More generally, for any fixed number of additional samples, we determine the first three exponential orders of the failure probability. To prove these results, we develop support estimates valid over arbitrary fields, derive Fourier bounds from permanental minors, and introduce a counting argument for concentrated assignment functionals over large prime fields. We also give a sparse lifting argument showing that real rank deficiency without an annihilating functional of small support has probability $o(e^{-Cn})$ for every fixed $C>0$.

math.CO↗