Reconstruction of C_4-free graphs from the set of closed neighborhoods and digital convexity
Steffen Borgwardt, MacKenzie Carr, Ce Chen, Wayne Ge, Stephen G. Hartke, Yixuan Huang, Alex Moon
TL;DR
The paper proves that every $C_4$-free graph is strongly reconstructible from both the set of closed neighborhoods $\mathcal{N}[G]$ and the support $\text{supp}(\mathcal{N}[G])$, and that this is equivalent to reconstructibility from the digital convexity $\mathscr{D}(G)$. It provides an alternative proof of a key multiset result, develops the union-basis machinery via $U(\mathcal{N}[G])$ to extract base vertices, and reduces reconstruction to a quotient graph $G'$ that can be reconstructed from $\mathcal{N}[G']$ before inflating back to $G$. The work extends prior results by Lafrance et al. and shows that all graphs of girth at least five (in particular $C_4$-free graphs) are reconstructible from digitally convex sets, connecting convexity concepts to neighborhood-based graph reconstruction. This advances our understanding of when a graph is uniquely determined by compact neighborhood-derived data and provides constructive pathways for reconstruction algorithms within the $C_4$-free class.
Abstract
Fomin, Kratochvíl, Lokshtanov, Mancini, and Telle showed that every $C_{4}$-free graph is reconstructible from the \emph{multiset} of closed neighborhoods. We strengthen their result proving that every $C_{4}$-free graph is reconstructible from the \emph{set} of closed neighborhoods. This extends the work of Lafrance et al.\ by showing that all $C_{4}$-free graphs, and hence all graphs of girth at least five, are reconstructible from their digitally convex sets. A subset $S$ of vertices in a graph $G$ is digitally convex if, for every vertex $v \notin S$, there is a private neighbor of $v$. We establish that reconstruction from digitally convex sets is equivalent to reconstruction from the set of closed neighborhoods.
