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Extremal Independent Set Reconfiguration

Extremal independent set reconfiguration
Authors: Bousquet, Nicolas; Durain, Bastien; Pierron, Théo; Thomassé, Stéphan;

Extremal Independent Set Reconfiguration

Abstract

The independent set reconfiguration problem asks whether one can transform one given independent set of a graph into another, by changing vertices one by one in such a way the intermediate sets remain independent. Extremal problems on independent sets are widely studied: for example, it is well known that an $n$-vertex graph has at most $3^{n/3}$ maximum independent sets (and this is tight). This paper investigates the asymptotic behavior of maximum possible length of a shortest reconfiguration sequence for independent sets of size $k$ among all $n$-vertex graphs. We give a tight bound for $k=2$. We also provide a subquadratic upper bound (using the hypergraph removal lemma) as well as an almost tight construction for $k=3$. We generalize our results for larger values of $k$ by proving an $n^{2\lfloor k/3 \rfloor}$ lower bound.

Country
France
Keywords

FOS: Computer and information sciences, Extremal problems in graph theory, combinatorial reconfiguration framework, Discrete Mathematics (cs.DM), 05C35, 05C69, [MATH] Mathematics [math], [INFO] Computer Science [cs], Vertex subsets with special properties (dominating sets, independent sets, cliques, etc.), Graph theory (including graph drawing) in computer science, FOS: Mathematics, Mathematics - Combinatorics, Combinatorics (math.CO), configuration graph, Computer Science - Discrete Mathematics

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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!
1
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