Well quasi-order and atomicity for combinatorial structures under consecutive orders
Victoria Ironmonger, Nik Ruškuc
TL;DR
This paper develops a general framework to decide well quasi-ordering and atomicity for posets of combinatorial structures under consecutive orders, unifying graphs, digraphs, relations, and, via word-encodings, even certain permutations. Central to the approach are the notions of valid and bountiful structures and the associated factor graphs, which translate structure containment into path-embedding questions; for bountiful types, the $wqo$ problem reduces to finiteness of the avoidance set, while atomicity reduces to joint-embedding-type criteria in the factor graph (often captured by strong connectivity or bicycle structure). The authors obtain decidability results for broad classes (including $\, ext{G}, \, ext{S}, \, ext{D}, \, ext{T}, \, ext{R}_{\sigma}$) and for words, with a specialized treatment of the invalid double-ascents by linking them to word-avoiding problems. Collectively, these results provide algorithmic decision procedures for $wqo$ and atomicity across many familiar combinatorial families, and outline a path toward handling intermediate and invalid structure types within the same digraph-encoding paradigm.
Abstract
We consider partially ordered sets of combinatorial structures under consecutive orders, meaning that two structures are related when one embeds in the other such that `consecutive' elements remain consecutive in the image. Given such a partially ordered set, we may ask decidability questions about its avoidance sets: subsets defined by a finite number of forbidden substructures. Two such questions ask, given a finite set of structures, whether its avoidance set is well quasi-ordered (i.e. contains no infinite antichains) or atomic (i.e. cannot be expressed as the union of two proper subsets). Extending some recent new approaches, we will establish a general framework, which enables us to answer these problems for a wide class of combinatorial structures, including graphs, digraphs and collections of relations.
