Shrub-depth: Capturing Height of Dense Graphs
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Rok publikování | 2019 |
Druh | Článek v odborném periodiku |
Časopis / Zdroj | Logical Methods in Computer Science |
Fakulta / Pracoviště MU | |
Citace | GANIAN, Robert, Petr HLINĚNÝ, Jaroslav NEŠETŘIL, Jan OBDRŽÁLEK a Patrice OSSONA DE MENDEZ. Shrub-depth: Capturing Height of Dense Graphs. Logical Methods in Computer Science. BRAUNSCHWEIG: LOGICAL METHODS COMPUTER SCIENCE E V, 2019, roč. 15, č. 1, s. "7:1"-"7:25", 25 s. ISSN 1860-5974. Dostupné z: https://dx.doi.org/10.23638/LMCS-15(1:7)2019. |
www | https://lmcs.episciences.org/5149 |
Doi | http://dx.doi.org/10.23638/LMCS-15(1:7)2019 |
Klíčová slova | tree-depth; clique-width; shrub-depth; MSO logic; transduction |
Popis | The recent increase of interest in the graph invariant called tree-depth and in its applications in algorithms and logic on graphs led to a natural question: is there an analogously useful "depth" notion also for dense graphs (say; one which is stable under graph complementation)? To this end, in a 2012 conference paper, a new notion of shrub-depth has been introduced, such that it is related to the established notion of clique-width in a similar way as tree-depth is related to tree-width. Since then shrub-depth has been successfully used in several research papers. Here we provide an in-depth review of the definition and basic properties of shrub-depth, and we focus on its logical aspects which turned out to be most useful. In particular, we use shrub-depth to give a characterization of the lower omega levels of the MSO1 transduction hierarchy of simple graphs. |
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