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Random Structures and Algorithms
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Random Structures and Algorithms
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1‐Factorizations of pseudorandom graphs

1-factorizations of pseudorandom graphs
Authors: Ferber, Asaf; Jain, Vishesh;

1‐Factorizations of pseudorandom graphs

Abstract

A 1‐factorization of a graph G is a collection of edge‐disjoint perfect matchings whose union is E(G). In this paper, we prove that for any ϵ>0, an (n,d,λ)‐graph G admits a 1‐factorization provided that n is even, C0 ≤ d ≤ n−1 (where C0=C0(ϵ) is a constant depending only on ϵ), and λ ≤ d1−ϵ. In particular, since (as is well known) a typical random d‐regular graph Gn,d is such a graph, we obtain the existence of a 1‐factorization in a typical Gn,d for all C0 ≤ d ≤ n−1, thereby extending to all possible values of d results obtained by Janson, and independently by Molloy, Robalewska, Robinson, and Wormald for fixed d. Moreover, we also obtain a lower bound for the number of distinct 1‐factorizations of such graphs G, which is better by a factor of 2nd/2 than the previously best known lower bounds, even in the simplest case where G is the complete graph.

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Keywords

FOS: Computer and information sciences, Discrete Mathematics (cs.DM), Random graphs (graph-theoretic aspects), 1-factorizations, pseudorandom graphs, Coloring of graphs and hypergraphs, Edge subsets with special properties (factorization, matching, partitioning, covering and packing, etc.), chromatic index, FOS: Mathematics, Mathematics - Combinatorics, Combinatorics (math.CO), edge coloring, 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!
4
Average
Average
Average
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