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On Distance Preserving and Sequentially Distance Preserving Graphs

Jason P. Smith, Emad Zahedi

TL;DR

The paper studies when graphs preserve pairwise distances under isometric subgraphs (dp) and the stronger sequential variant (sdp). It connects sdp to $k$-simplicial orderings, proving that all $4$-chordal graphs are sdp and thus dp, and it provides a decomposition framework for dp in separable graphs of the form $G+_x H$ with a cut vertex $x$, including a formula for $\mathrm{dp}(G+_x H)$. It further examines non-dp graphs by introducing the cycle-based family $\mathcal{C}_{k,\ell}$ and establishing a criterion $k>2(\ell+2)$ under which these graphs remain non-dp, offering a constructive route to generate non-dp graphs from cycles. Collectively, these results clarify structural boundaries between dp and non-dp graphs, yield testable tools for dp in composite graphs, and suggest open directions for broader characterization and algorithmic development within metric graph theory.

Abstract

A graph $H$ is an \emph{isometric} subgraph of $G$ if $d_H(u,v)= d_G(u,v)$, for every pair~$u,v\in V(H)$. A graph is \emph{distance preserving} if it has an isometric subgraph of every possible order. A graph is \emph{sequentially distance preserving} if its vertices can be ordered such that deleting the first $i$ vertices results in an isometric subgraph, for all $i\ge1$. We give an equivalent condition to sequentially distance preserving based upon simplicial orderings. Using this condition, we prove that if a graph does not contain any induced cycles of length~$5$ or greater, then it is sequentially distance preserving and thus distance preserving. Next we consider the distance preserving property on graphs with a cut vertex. Finally, we define a family of non-distance preserving graphs constructed from cycles.

On Distance Preserving and Sequentially Distance Preserving Graphs

TL;DR

The paper studies when graphs preserve pairwise distances under isometric subgraphs (dp) and the stronger sequential variant (sdp). It connects sdp to -simplicial orderings, proving that all -chordal graphs are sdp and thus dp, and it provides a decomposition framework for dp in separable graphs of the form with a cut vertex , including a formula for . It further examines non-dp graphs by introducing the cycle-based family and establishing a criterion under which these graphs remain non-dp, offering a constructive route to generate non-dp graphs from cycles. Collectively, these results clarify structural boundaries between dp and non-dp graphs, yield testable tools for dp in composite graphs, and suggest open directions for broader characterization and algorithmic development within metric graph theory.

Abstract

A graph is an \emph{isometric} subgraph of if , for every pair~. A graph is \emph{distance preserving} if it has an isometric subgraph of every possible order. A graph is \emph{sequentially distance preserving} if its vertices can be ordered such that deleting the first vertices results in an isometric subgraph, for all . We give an equivalent condition to sequentially distance preserving based upon simplicial orderings. Using this condition, we prove that if a graph does not contain any induced cycles of length~ or greater, then it is sequentially distance preserving and thus distance preserving. Next we consider the distance preserving property on graphs with a cut vertex. Finally, we define a family of non-distance preserving graphs constructed from cycles.

Paper Structure

This paper contains 5 sections, 9 theorems, 8 equations, 4 figures.

Key Result

Theorem 3.2

Kri13 Consider a graph $G$ and integer $k\ge 3$. The graph $G$ is $k$-chordal if and only if $G$ has a $k$-simplicial ordering.

Figures (4)

  • Figure 1:
  • Figure 2: A non-$4$-chordal graph that is sdp. The vertex labels give an sdp ordering.
  • Figure 3: The figure for $G_x {\overset{r}{\text{---}}} H_y$.
  • Figure 4: A counterexample to the converse of the Theorem \ref{['Emi']}

Theorems & Definitions (19)

  • Definition 3.1
  • Theorem 3.2
  • Lemma 3.3
  • proof
  • Proposition 3.4
  • proof
  • Theorem 3.5
  • proof
  • Corollary 3.6
  • Definition 4.1
  • ...and 9 more