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Cliquewidth and dimension

Authors: Gwenaël Joret; Piotr Micek; Michał Pilipczuk; Bartosz Walczak;

Cliquewidth and dimension

Abstract

Abstract We prove that every poset with bounded cliquewidth and with sufficiently large dimension contains the standard example of dimension as a subposet. This applies in particular to posets whose cover graphs have bounded treewidth, as the cliquewidth of a poset is bounded in terms of the treewidth of the cover graph. For the latter posets, we prove a stronger statement: Every such poset with sufficiently large dimension contains the Kelly example of dimension as a subposet. Using this result, we obtain a full characterization of the minor‐closed graph classes such that posets with cover graphs in have bounded dimension: They are exactly the classes excluding the cover graph of some Kelly example. Finally, we consider a variant of poset dimension called Boolean dimension, and we prove that posets with bounded cliquewidth have bounded Boolean dimension. The proofs rely on Colcombet's deterministic version of Simon's factorization theorem, which is a fundamental tool in formal language and automata theory, and which we believe deserves a wider recognition in structural and algorithmic graph theory.

Countries
Poland, Belgium
Keywords

FOS: Computer and information sciences, Discrete Mathematics (cs.DM), Combinatorics, Discrete Mathematics, Informatique mathématique, FOS: Mathematics, Combinatorics (math.CO)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green