First-order Logic with Connectivity Operators

CSL(2023)

引用 2|浏览6
暂无评分
摘要
First-order logic (FO) can express many algorithmic problems on graphs, such as the independent set and dominating set problem parameterized by solution size. However, FO cannot express the very simple algorithmic question whether two vertices are connected. We enrich FO with connectivity predicates that are tailored to express algorithmic graph problems that are commonly studied in parameterized algorithmics. By adding the atomic predicates conn(k) (x, y, z(1),..., z(k)) that hold true in a graph if there exists a path between (the valuations of) x and y after (the valuations of) z(1),..., z(k) have been deleted, we obtain separator logic FO + conn. We show that separator logic can express many interesting problems, such as the feedback vertex set problem and elimination distance problems to first-order definable classes. Denote by FO + conn(k) the fragment of separator logic that is restricted to connectivity predicates with at most k + 2 variables (that is, at most k deletions), we show that FO + conn(k+1) is strictly more expressive than FO + connk for all k >= 0. We then study the limitations of separator logic and prove that it cannot express planarity, and, in particular, not the disjoint paths problem. We obtain the stronger disjoint-paths logic FO + DP by adding the atomic predicates disjoint-paths k [(x(1), y(1)),..., (x(k), y(k))] that evaluate to true if there are internally vertex-disjoint paths between (the valuations of) xi and yi for all 1 <= i <= k. Disjoint-paths logic can express the disjoint paths problem, the problem of (topological) minor containment, the problem of hitting (topological) minors, and many more. Again, we show that the fragments FO + DPk that use predicates for at most k disjoint paths form a strict hierarchy of expressiveness. Finally, we compare the expressive power of the new logics with that of transitive-closure logics and monadic second-order logic.
更多
查看译文
关键词
connectivity operators,logic,first-order
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要