An Algorithmic Meta-Theorem for Graph Modification to Planarity and FOL

IF 0.8 Q3 COMPUTER SCIENCE, THEORY & METHODS ACM Transactions on Computation Theory Pub Date : 2020-09-07 DOI:10.1145/3571278
F. Fomin, P. Golovach, Giannos Stamoulis, D. Thilikos
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引用次数: 3

Abstract

In general, a graph modification problem is defined by a graph modification operation ⊠ and a target graph property 𝒫. Typically, the modification operation ⊠ may be vertex deletion, edge deletion, edge contraction, or edge addition and the question is, given a graph G and an integer k, whether it is possible to transform G to a graph in 𝒫 after applying the operation ⊠ k times on G. This problem has been extensively studied for particular instantiations of ⊠ and 𝒫. In this article, we consider the general property 𝒫𝛗 of being planar and, additionally, being a model of some First-Order Logic (FOL) sentence 𝛗 (an FOL-sentence). We call the corresponding meta-problem Graph ⊠-Modification to Planarity and 𝛗 and prove the following algorithmic meta-theorem: there exists a function f : ℕ2 → ℕ such that, for every ⊠ and every FOL-sentence 𝛗, the Graph ⊠-Modification to Planarity and 𝛗 is solvable in f(k,|𝛗|)⋅ n2 time. The proof constitutes a hybrid of two different classic techniques in graph algorithms. The first is the irrelevant vertex technique that is typically used in the context of Graph Minors and deals with properties such as planarity or surface-embeddability (that are not FOL-expressible) and the second is the use of Gaifman’s locality theorem that is the theoretical base for the meta-algorithmic study of FOL-expressible problems.
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图对平面性和FOL修改的一个算法元定理
一般来说,图的修改问题是由图的修改操作⊠和一个目标图的属性p来定义的。通常,修改操作⊠可能是顶点删除、边删除、边收缩或边添加,问题是,给定一个图G和一个整数k,对G进行⊠k次操作后,是否有可能将G转换为一个在∈中的图。对于⊠和∈的特定实例,这个问题已经得到了广泛的研究。在本文中,我们考虑平面性的一般性质,并且考虑平面性是一些一阶逻辑(FOL)句子(foll -sentence)的模型。我们将相应的元问题命名为图⊠-修改平面性和,并证明了以下算法元定理:存在一个函数f: _ 2→_使得对于每一个⊠和每一个foll句子,图⊠-修改平面性和在f(k,| |)⋅n2时间内可解。这个证明是图算法中两种不同的经典技术的混合。第一个是不相关顶点技术,通常用于图小的上下文中,并处理诸如平面性或表面嵌入性(不可folo表达)等属性,第二个是使用Gaifman的局部性定理,这是folo可表达问题的元算法研究的理论基础。
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来源期刊
ACM Transactions on Computation Theory
ACM Transactions on Computation Theory COMPUTER SCIENCE, THEORY & METHODS-
CiteScore
2.30
自引率
0.00%
发文量
10
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