1-Factorizations of Pseudorandom Graphs
1-Factorizations of Pseudorandom Graphs
复制标题
1-伪随机图的因式分解
DOI:
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发表时间:
2018
期刊:
影响因子:
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通讯作者:
Vishesh Jain
中科院分区:
文献类型:
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作者:
Asaf Ferber;Vishesh Jain
A 1-factorization of a graph G is a collection of edge-disjoint perfect matchings whose union is E(G). A trivial necessary condition for G to admit a 1-factorization is that |V(G)| is even and G is regular; the converse is easily seen to be false. In this paper, we consider the problem of finding 1-factorizations of regular, pseudorandom graphs. Specifically, we prove that for any ε > 0, an (n, d,λ)-graph G (that is, a d-regular graph on n vertices whose second largest eigenvalue in absolute value is at most λ) admits a 1-factorization provided that n is even, C_0 ≤ d ≤ n-1 (where C_0=C_0(ε) is a constant depending only on ε), and λ ≤ d^1-ε. In particular, since (as is well known) a typical random d-regular graph G_n, d is such a graph, we obtain the existence of a 1-factorization in a typical G_n, d for all C_0 ≤ 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 off by a factor of 2 in the base of the exponent from the known upper bound. This lower bound is better by a factor of 2^nd/2 than the previously best known lower bounds, even in the simplest case where G is the complete graph. Our proofs are probabilistic and can be easily turned into polynomial time (randomized) algorithms.