Abstract

A king in a directed graph is a vertex from which each vertex in the graph can be reached through paths of length at most two. There is a broad literature on tournaments (completely oriented digraphs), and it has been known for more than half a century that all tournaments have at least one king. Recently, kings have proven useful in theoretical computer science, in particular in the study of the complexity of reachability problems and semifeasible sets. In this article, we study the complexity of recognizing kings. For each succinctly specified family of tournaments, the king problem is already known to belong to Π2p. We prove that the complexity of kingship problems is a rich enough vocabulary to pinpoint every nontrivial many-one degree in Π2p. That is, we show that every set in Π2p other than 0{combining long solidus overlay} and Σ* is equivalent to a king problem under ≤mp-reductions. Indeed, we show that the equivalence can even be realized by relatively simple padding, and holds even if the notion of kings is redefined to refer to k-kings (for any fixed k ≥ 2)-vertices from which all vertices can be reached through paths of length at most k. In contrast, we prove that for each succinctly specified family of tournaments the source problem (the problem of deciding whether a given vertex v has the property that there exists a k such that v is a k-king) also falls within Π2p, yet cannot be Π2p-complete-or even NP-hard-unless P = NP. Using these and related techniques, we obtain a broad range of additional results about the complexity of king problems, diameter problems, and radius problems. It follows easily from our proof approach that the problem of testing kingship in succinctly specified graphs (which need not be tournaments) is Π2p-complete. We show that the radius problem for arbitrary succinctly represented graphs is Σ3p-complete, but that in contrast the diameter problem for arbitrary succinctly represented graphs (or even tournaments) is Π2p-complete.

Original languageEnglish
JournalTheoretical Computer Science
Volume411
Issue number4-5
Pages (from-to)783-798
Number of pages16
ISSN0304-3975
DOIs
Publication statusPublished - 28.01.2010

Funding

The first author was supported in part by grants NSF-CCR-0311021 and NSF-IIS-0713061, a TransCoop grant, and a Friedrich Wilhelm Bessel Research Award. Work done in part while on sabbatical at the University of Rochester and while visiting the Tokyo Institute of Technology. The second author was supported in part by grants NSF-CCF-0426761 and NSF-CCF-0915792, JSPS Invitational Fellowship S-05022, a TransCoop grant, and a Friedrich Wilhelm Bessel Research Award. Work done in part while visiting the Tokyo Institute of Technology. The fourth author was supported in part by ‘‘New Horizons in Computing’’ (2004–2006), an MEXT Grant-in-Aid for Scientific Research on Priority Areas.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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