Characterizing graph-nonedge pairs with single interval Cayley configuration spaces in 3-dimensions
<|reference_start|>Characterizing graph-nonedge pairs with single interval Cayley configuration spaces in 3-dimensions: A linkage $(G,\ell)$ is a pair containing a finite simple undirected graph $G$ and a squared edge-length map $\ell$ that assigns squared Euclidean lengths to the edges of $G$. A $d$-realization of $(G,\ell)$ is an assignment of points in $\mathbb{R}^d$ to the vertices of $G$ for which pair-wise distances between points agree with $\ell$. For $d \leq 3$, we characterize pairs $(G,f)$, where $f$ is a nonedge of $G$, such that, for any squared edge-length map $\ell$, there is a single interval of attained distance values between the endpoints of $f$ over all $d$-realizations of $(G,\ell)$, answering a question posed in \cite{sitharam2010characterizing} a decade ago, which gave an equivalent characterization for $d\le 2$ that does not generalize to $d\ge 3$. Two notable byproducts of this characterization are a new tool for partial $3$-tree completion, a well-studied problem, and a deeper understanding of the realization space of partial $3$-tree linkages through the lens of Cayley realization spaces. Although related to the minor closed class of $3$-flattenable graphs, the class of pairs $(G,f)$ with the above property is not minor closed, has no obvious well quasi-ordering, and there are infinitely many minimal graphs-nonedge pairs - w.r.t. edge contractions - in the complement class. Our characterization overcomes these obstacles, is based on the forbidden minors of the class of $3$-flattenable graphs, and contributes to the theory of Cayley configurations used for analyzing distance-constrained configuration spaces in a range of application domains. Generalizations to higher dimensions and efficient algorithmic characterizations are conjectured.<|reference_end|>
@article{sims2024characterizing,
    title={Characterizing graph-nonedge pairs with single interval Cayley
  configuration spaces in 3-dimensions},
    author={William Sims and Meera Sitharam},
    journal={arXiv preprint arXiv:2409.14227},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.14227},
    primaryClass={cs.CG math.CO}
}