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Jul 10 – 14, 2023
Heinz Nixdorf MuseumsForum (HNF)
Europe/Berlin timezone

Parameterized Complexity of Binary CSP: Vertex Cover, Treedepth, and Related Parameters

Jul 13, 2023, 12:10 PM
20m
Seminar Room 4 (HNF)

Seminar Room 4

HNF

Speaker

Hans L. Bodlaender

Description

Hans L. Bodlaender, Carla Groenland and Michał Pilipczuk

Abstract: We investigate the parameterized complexity of \textsc{Binary CSP} parameterized by the vertex cover number and the treedepth of the constraint graph, as well as by a selection of related modulator-based parameters. The main findings are as follows:

  • \textsc{Binary CSP} parameterized by the vertex cover number is $\mathrm{W}[3]$-complete. More generally, for every positive integer $d$, \textsc{Binary CSP} parameterized by the size of a modulator to a treedepth-$d$ graph is $\mathrm{W}[2d+1]$-complete. This provides a new family of natural problems that are complete for odd levels of the $\mathrm{W}$-hierarchy.
  • We introduce a new complexity class $\mathrm{XSLP}$, defined so that \textsc{Binary CSP} parameterized by treedepth is complete for this class. We provide two equivalent characterizations of $\mathrm{XSLP}$: the first one relates $\mathrm{XSLP}$ to a model of an alternating Turing machine with certain restrictions on conondeterminism and space complexity, while the second one links $\mathrm{XSLP}$ to the problem of model-checking first-order logic with suitably restricted universal quantification. Interestingly, the proof of the machine characterization of $\mathrm{XSLP}$ uses the concept of {\em{universal trees}}, which are prominently featured in the recent work on parity games.
  • We describe a new complexity hierarchy sandwiched between the $\mathrm{W}$-hierarchy and the $\mathrm{A}$-hierarchy: For every odd $t$, we introduce a parameterized complexity class $\mathrm{S}[t]$ with $\mathrm{W}[t]\subseteq \mathrm{S}[t]\subseteq \mathrm{A}[t]$, defined using a parameter that interpolates between the vertex cover number and the treedepth.

We expect that many of the studied classes will be useful in the future for pinpointing the complexity of various structural parameterizations of graph problems.

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