2,399 research outputs found

    A superlinear bound on the number of perfect matchings in cubic bridgeless graphs

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    Lovasz and Plummer conjectured in the 1970's that cubic bridgeless graphs have exponentially many perfect matchings. This conjecture has been verified for bipartite graphs by Voorhoeve in 1979, and for planar graphs by Chudnovsky and Seymour in 2008, but in general only linear bounds are known. In this paper, we provide the first superlinear bound in the general case.Comment: 54 pages v2: a short (missing) proof of Lemma 10 was adde

    Some snarks are worse than others

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    Many conjectures and open problems in graph theory can either be reduced to cubic graphs or are directly stated for cubic graphs. Furthermore, it is known that for a lot of problems, a counterexample must be a snark, i.e. a bridgeless cubic graph which is not 3--edge-colourable. In this paper we deal with the fact that the family of potential counterexamples to many interesting conjectures can be narrowed even further to the family S5{\cal S}_{\geq 5} of bridgeless cubic graphs whose edge set cannot be covered with four perfect matchings. The Cycle Double Cover Conjecture, the Shortest Cycle Cover Conjecture and the Fan-Raspaud Conjecture are examples of statements for which S5{\cal S}_{\geq 5} is crucial. In this paper, we study parameters which have the potential to further refine S5{\cal S}_{\geq 5} and thus enlarge the set of cubic graphs for which the mentioned conjectures can be verified. We show that S5{\cal S}_{\geq 5} can be naturally decomposed into subsets with increasing complexity, thereby producing a natural scale for proving these conjectures. More precisely, we consider the following parameters and questions: given a bridgeless cubic graph, (i) how many perfect matchings need to be added, (ii) how many copies of the same perfect matching need to be added, and (iii) how many 2--factors need to be added so that the resulting regular graph is Class I? We present new results for these parameters and we also establish some strong relations between these problems and some long-standing conjectures.Comment: 27 pages, 16 figure

    On the expected number of perfect matchings in cubic planar graphs

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    A well-known conjecture by Lov\'asz and Plummer from the 1970s asserted that a bridgeless cubic graph has exponentially many perfect matchings. It was solved in the affirmative by Esperet et al. (Adv. Math. 2011). On the other hand, Chudnovsky and Seymour (Combinatorica 2012) proved the conjecture in the special case of cubic planar graphs. In our work we consider random bridgeless cubic planar graphs with the uniform distribution on graphs with nn vertices. Under this model we show that the expected number of perfect matchings in labeled bridgeless cubic planar graphs is asymptotically cγnc\gamma^n, where c>0c>0 and γ1.14196\gamma \sim 1.14196 is an explicit algebraic number. We also compute the expected number of perfect matchings in (non necessarily bridgeless) cubic planar graphs and provide lower bounds for unlabeled graphs. Our starting point is a correspondence between counting perfect matchings in rooted cubic planar maps and the partition function of the Ising model in rooted triangulations.Comment: 19 pages, 4 figure

    Tight upper bound on the maximum anti-forcing numbers of graphs

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    Let GG be a simple graph with a perfect matching. Deng and Zhang showed that the maximum anti-forcing number of GG is no more than the cyclomatic number. In this paper, we get a novel upper bound on the maximum anti-forcing number of GG and investigate the extremal graphs. If GG has a perfect matching MM whose anti-forcing number attains this upper bound, then we say GG is an extremal graph and MM is a nice perfect matching. We obtain an equivalent condition for the nice perfect matchings of GG and establish a one-to-one correspondence between the nice perfect matchings and the edge-involutions of GG, which are the automorphisms α\alpha of order two such that vv and α(v)\alpha(v) are adjacent for every vertex vv. We demonstrate that all extremal graphs can be constructed from K2K_2 by implementing two expansion operations, and GG is extremal if and only if one factor in a Cartesian decomposition of GG is extremal. As examples, we have that all perfect matchings of the complete graph K2nK_{2n} and the complete bipartite graph Kn,nK_{n, n} are nice. Also we show that the hypercube QnQ_n, the folded hypercube FQnFQ_n (n4n\geq4) and the enhanced hypercube Qn,kQ_{n, k} (0kn40\leq k\leq n-4) have exactly nn, n+1n+1 and n+1n+1 nice perfect matchings respectively.Comment: 15 pages, 7 figure

    NC Algorithms for Computing a Perfect Matching and a Maximum Flow in One-Crossing-Minor-Free Graphs

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    In 1988, Vazirani gave an NC algorithm for computing the number of perfect matchings in K3,3K_{3,3}-minor-free graphs by building on Kasteleyn's scheme for planar graphs, and stated that this "opens up the possibility of obtaining an NC algorithm for finding a perfect matching in K3,3K_{3,3}-free graphs." In this paper, we finally settle this 30-year-old open problem. Building on recent NC algorithms for planar and bounded-genus perfect matching by Anari and Vazirani and later by Sankowski, we obtain NC algorithms for perfect matching in any minor-closed graph family that forbids a one-crossing graph. This family includes several well-studied graph families including the K3,3K_{3,3}-minor-free graphs and K5K_5-minor-free graphs. Graphs in these families not only have unbounded genus, but can have genus as high as O(n)O(n). Our method applies as well to several other problems related to perfect matching. In particular, we obtain NC algorithms for the following problems in any family of graphs (or networks) with a one-crossing forbidden minor: \bullet Determining whether a given graph has a perfect matching and if so, finding one. \bullet Finding a minimum weight perfect matching in the graph, assuming that the edge weights are polynomially bounded. \bullet Finding a maximum stst-flow in the network, with arbitrary capacities. The main new idea enabling our results is the definition and use of matching-mimicking networks, small replacement networks that behave the same, with respect to matching problems involving a fixed set of terminals, as the larger network they replace.Comment: 21 pages, 6 figure
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