Decomposing graphs into stable and ordered parts
Hector Buffi\`ere, Patrice Ossona de Mendez

TL;DR
This paper explores how complex graph classes can be decomposed into stable and ordered components using modelizations, confirming a conjecture for certain classes with bounded linear cliquewidth.
Contribution
It proves the conjecture for classes with bounded linear cliquewidth and extends results to classes with bounded-size bounded linear cliquewidth decompositions.
Findings
Confirmed the conjecture for classes with bounded linear cliquewidth.
Extended the modelization approach to classes with bounded-size bounded linear cliquewidth decompositions.
Established that these classes admit modelizations in monadically dependent couplings.
Abstract
Connections between structural graph theory and finite model theory recently gained a lot of attention. In this setting, many interesting questions remain on the properties of dependent (NIP) hereditary classes of graphs, in particular related to first-order transductions. In this paper, we study modelizations (which are strong forms of transduction pairings) of classes of graphs by classes of structures. In particular, we consider models obtained by coupling a partial order and a colored graph (thus forming a partially ordered colored graph). Motivated by Simon's decomposition theorem of dependent types into a stable part and a distal (order-like) part, we conjecture that every dependent hereditary class of graphs admits a modelization in a monadically dependent coupling of a class of posets with bounded treewidth cover graphs and a monadically stable class of colored graphs. In this…
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