2016
DOI: 10.1016/j.jctb.2016.01.004
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Optimal path and cycle decompositions of dense quasirandom graphs

Abstract: Abstract. Motivated by longstanding conjectures regarding decompositions of graphs into paths and cycles, we prove the following optimal decomposition results for random graphs. Let 0 < p < 1 be constant and let G ∼ Gn,p. Let odd(G) be the number of odd degree vertices in G. Then a.a.s. the following hold:(i) G can be decomposed into ⌊∆(G)/2⌋ cycles and a matching of size odd(G)/2.(ii) G can be decomposed into max{odd(G)/2, ⌈∆(G)/2⌉} paths.(iii) G can be decomposed into ⌈∆(G)/2⌉ linear forests. Each of these b… Show more

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Cited by 19 publications
(16 citation statements)
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“…In [13], this result is used as a tool to prove several decomposition and packing conjectures involving Hamilton cycles and perfect matchings. Also, in [22], it is used to derive optimal decomposition results for dense quasi-random graphs into other structures, including linear forests. A different generalization of Walecki's theorem is given by the Alspach conjecture, which states that for odd n, the complete graph K n should have a decomposition into cycles C 1 , .…”
Section: 3mentioning
confidence: 99%
“…In [13], this result is used as a tool to prove several decomposition and packing conjectures involving Hamilton cycles and perfect matchings. Also, in [22], it is used to derive optimal decomposition results for dense quasi-random graphs into other structures, including linear forests. A different generalization of Walecki's theorem is given by the Alspach conjecture, which states that for odd n, the complete graph K n should have a decomposition into cycles C 1 , .…”
Section: 3mentioning
confidence: 99%
“…The main idea for the proof is based on that of Theorem 4.1 in [18]. We will use results from [27], [28] and [29] which imply that robustly expanding graphs enjoy very strong Hamiltonicity properties.…”
Section: Approximate Cycle Decompositionmentioning
confidence: 99%
“…We can then obtain a Hamilton decomposition of the remaining graph via Theorem 4.2. The argument builds on ideas from [18].…”
Section: Approximate Cycle Decompositionmentioning
confidence: 99%
“…For values of d of the form Θ(n), Kühn and Osthus proved in [25] that every 'quasi-random' regular graph has a Hamilton cycle decomposition, and hence, a 1-factorization. Moreover, Glock, Kühn and Osthus [16] also studied optimal edge-colorings in the dense quasi-random case when the underlying graph is not necessarily regular. Usually, the main problem with handling values of d which grow with n is that the so-called 'configuration model' (see [4] for more details) is not very useful in this regime.…”
Section: Random Graphsmentioning
confidence: 99%