2022
DOI: 10.48550/arxiv.2201.11082
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Treelike decompositions for transductions of sparse graphs

Abstract: We give new decomposition theorems for classes of graphs that can be transduced in first-order logic from classes of sparse graphs -more precisely, from classes of bounded expansion and from nowhere dense classes. In both cases, the decomposition takes the form of a single colored rooted tree of bounded depth where, in addition, there can be links between nodes that are not related in the tree. The constraint is that the structure formed by the tree and the links has to be sparse. Using the decomposition theor… Show more

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Cited by 1 publication
(2 citation statements)
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“…Intuitively, a first-order transduction transforms graphs by first nondeterministically adding colors and then reinterpreting the edge relation using a first-order formula φ(x, y), see e.g. [8,13,14,20,24]. This has led to the notion of structurally nowhere dense classes, which are first-order transductions of nowhere dense classes.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Intuitively, a first-order transduction transforms graphs by first nondeterministically adding colors and then reinterpreting the edge relation using a first-order formula φ(x, y), see e.g. [8,13,14,20,24]. This has led to the notion of structurally nowhere dense classes, which are first-order transductions of nowhere dense classes.…”
Section: Introductionmentioning
confidence: 99%
“…Things look better on structurally nowhere dense classes: For every such class C , ϵ > 0 and integer s, it holds that every K s -free n-vertex graph from C contains an independent set of size Ω s,ϵ,C (n 1−ϵ ). This follows from the fact that graphs from structurally nowhere dense classes can be partitioned into O C ,ϵ,s (n ϵ ) parts, each of which induces a cograph [8], and since cographs are perfect, they satisfy R(s, t) = st. (To be more precise, it is proved in [8] that each of the parts has bounded shrubdepth and it is proved in [25] that every graph of bounded shrubdepth can be decomposed into a bounded number of cographs. )…”
Section: Introductionmentioning
confidence: 99%