Title
Hamiltonian decompositions of random bipartite regular graphs
Abstract
We prove a complete hamiltonian decomposition theorem for random bipartite regular graphs, thereby verifying a conjecture of Robinson and Wormald. The main step is to prove contiguity (a kind of asymptotic equivalence) of two probabilistic models of 4-regular bipartite graphs; namely, the uniform model, and the model obtained by taking the union of two independent, uniformly chosen bipartite Hamilton cycles, conditioned on forming no multiple edges. The proof uses the small subgraph conditioning method to establish contiguity, while the differential equation method is used to analyse a critical quantity.
Year
DOI
Venue
2004
10.1016/j.jctb.2003.07.001
J. Comb. Theory, Ser. B
Keywords
DocType
Volume
uniform model,differential equation method,asymptotic equivalence,probabilistic model,complete hamiltonian decomposition theorem,4-regular bipartite graph,bipartite hamilton cycle,small subgraph conditioning method,hamiltonian decomposition,critical quantity,random bipartite regular graph,bipartite graph,hamilton cycle,regular graph
Journal
90
Issue
ISSN
Citations 
2
Journal of Combinatorial Theory, Series B
3
PageRank 
References 
Authors
0.40
6
3
Name
Order
Citations
PageRank
Catherine Greenhill162862.40
Jeong Han Kim269960.19
Nicholas C. Wormald31506230.43