Deciding First-Order Properties of Nowhere Dense Graphs

被引:70
作者
Grohe, Martin [1 ]
Kreutzer, Stephan [2 ]
Siebertz, Sebastian [3 ]
机构
[1] Rhein Westfal TH Aachen, Lehrstuhl Informat 7, Log & Theorie Diskreter Syst, Ahornstr 55, D-52074 Aachen, Germany
[2] Tech Univ Berlin, Inst Softwaretech & Theoret Informat, Lehrstuhl Log & Semant, Sekr TEL 7-3,Ernst Reuter Pl 7, D-10587 Berlin, Germany
[3] Univ Warsaw, Inst Informat, Fac Math Informat & Mech, Ul Banach 2, PL-02097 Warsaw, Poland
基金
欧洲研究理事会;
关键词
First-order model-checking; nowhere dense graphs; algorithmic graph structure theory; APPROXIMATION; OPTIMIZATION; COMPLEXITY;
D O I
10.1145/3051095
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Nowhere dense graph classes, introduced by Nesetril and Ossona de Mendez [2010, 2011], form a large variety of classes of "sparse graphs" including the class of planar graphs, actually all classes with excluded minors, and also bounded degree graphs and graph classes of bounded expansion. We show that deciding properties of graphs definable in first-order logic is fixed-parameter tractable on nowhere dense graph classes (parameterized by the length of the input formula). At least for graph classes closed under taking subgraphs, this result is optimal: it was known before that for all classes C of graphs closed under taking subgraphs, if deciding first-order properties of graphs in C is fixed-parameter tractable, then C must be nowhere dense (under a reasonable complexity theoretic assumption). As a by-product, we give an algorithmic construction of sparse neighborhood covers for nowhere dense graphs. This extends and improves previous constructions of neighborhood covers for graph classes with excluded minors. At the same time, our construction is considerably simpler than those. Our proofs are based on a new game-theoretic characterization of nowhere dense graphs that allows for a recursive version of locality-based algorithms on these classes. On the logical side, we prove a "rankpreserving" version of Gaifman's locality theorem.
引用
收藏
页数:32
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