Properties of graphs specified by a regular language

Author:

Diekert VolkerORCID,Fernau HenningORCID,Wolf PetraORCID

Abstract

AbstractTraditionally, graph algorithms get a single graph as input, and then they should decide if this graph satisfies a certain property $$\varPhi $$ Φ . What happens if this question is modified in a way that we get a possibly infinite family of graphs as an input, and the question is if there is a graph satisfying $$\varPhi $$ Φ in the family? We approach this question by using formal languages for specifying families of graphs, in particular by regular sets of words. We show that certain graph properties can be decided by studying the syntactic monoid of the specification language L if a certain torsion condition is satisfied. This condition holds trivially if L is regular. More specifically, we use a natural binary encoding of finite graphs over a binary alphabet $$\varSigma $$ Σ , and we define a regular set $$\mathbb {G}\subseteq \varSigma ^*$$ G Σ such that every nonempty word $$w\in \mathbb {G}$$ w G defines a finite and nonempty graph. Also, graph properties can then be syntactically defined as languages over $$\varSigma $$ Σ . Then, we ask whether the automaton $$\mathcal {A}$$ A specifies some graph satisfying a certain property $$\varPhi $$ Φ . Our structural results show that we can answer this question for all “typical” graph properties. In order to show our results, we split L into a finite union of subsets and every subset of this union defines in a natural way a single finite graph F where some edges and vertices are marked. The marked graph in turn defines an infinite graph $$F^\infty $$ F and therefore the family of finite subgraphs of $$F^\infty $$ F where F appears as an induced subgraph. This yields a geometric description of all graphs specified by L based on splitting L into finitely many pieces; then using the notion of graph retraction, we obtain an easily understandable description of the graphs in each piece.

Funder

Deutsche Forschungsgemeinschaft

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Information Systems,Software

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3