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Reconfiguration of Vertex Covers in a Graph

Authors: ITO, Takehiro; NOOKA, Hiroyuki; ZHOU, Xiao;

Reconfiguration of Vertex Covers in a Graph

Abstract

Suppose that we are given two vertex covers \(C_{0}\) and \(C_{t}\) of a graph G, together with an integer threshold \(k\ge \max \{\left| C_0 \right| , \left| C_t \right| \}\). Then, the vertex cover reconfiguration problem is to determine whether there exists a sequence of vertex covers of G which transforms \(C_{0}\) into \(C_{t}\) such that each vertex cover in the sequence is of cardinality at most \(k\) and is obtained from the previous one by either adding or deleting exactly one vertex. This problem is PSPACE-complete even for planar graphs. In this paper, we first give a linear-time algorithm to solve the problem for even-hole-free graphs, which include several well-known graphs, such as trees, interval graphs and chordal graphs. We then give an upper bound on \(k\) for which any pair of vertex covers in a graph G has a desired sequence. Our upper bound is best possible in some sense.

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Keywords

graph algorithm, combinatorial reconfiguration, even-hole-free graph, vertex cover

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Top 10%
Top 10%
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