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Conlon 2014 cycle packing
theorem_1_2: Every n-vertex graph with average degree d is the edge-disjoint union of O(n log log d) cycles and single edges; with d at most n this gave the first improvement, O(n log log n), on the classical O(n log n) bound.
theorem_1_3: There is an absolute constant c such that for every edge probability p the binomial random graph on n vertices asymptotically almost surely decomposes into at most cn cycles and edges; the Erdős-Gallai conjecture for random graphs.
theorem_1_4: Every n-vertex graph with minimum degree at least cn is the edge-disjoint union of O(c to the minus twelve times n) cycles and single edges; the Erdős-Gallai conjecture for graphs of linear minimum degree.
Conlon, David and Fox, Jacob and Sudakov, Benny, Cycle packing. Random Structures Algorithms 45 (2014), no. 4, 608-626, doi:10.1002/rsa.20574.
The paper attacks the Erdos-Gallai conjecture that every n-vertex graph decomposes into O(n) edge-disjoint cycles and edges, for which only the easy O(n log n) bound was known. Theorem 1.2 shows every n-vertex graph of average degree d decomposes into O(n log log d) cycles and edges, giving f(n) = O(n log log n) as a corollary. Theorem 1.3 proves the conjecture for random graphs: there is c
0 such that for any p, G(n,p) almost surely decomposes into at most cn cycles and edges. Theorem 1.4 proves it for graphs of linear minimum degree cn, with O(c^-12 n) cycles and edges. The method iterates greedy removal of longest cycles with a main lemma (Lemma 2.3, p. 610) that partitions all but n^{2-1/10} edges of a graph on n >= 2^{2000} vertices into at most n/2 cycles, proved by splitting the graph into expanding pieces and closing the paths of Lovász's path-and-cycle decomposition into cycles through a reserved vertex set. Problem 184 is exactly the Erdos-Gallai decomposition conjecture; Theorem 1.2 was its best general bound until Bucić and Montgomery's O(n log* n).
Source: https://people.math.ethz.ch/~sudakovb/papers.html.
Edition read. The copy read for this card is the publisher's version: its first page carries the Wiley header "Received 2 October 2013; accepted 13 May 2014. Published online 16 October 2014 in Wiley Online Library ... DOI 10.1002/rsa.20574" and the abstract's line "Random Struct. Alg., 45, 608--626, 2014"; 19 pages with a text layer, printed pp. 608--626, so printed p. is PDF p. (the Crossref record, gives volume 45, issue 4, December 2014). The arXiv version, 1310.0632 (v2 of 22 May 2014, 18 pages), was not compared. The publisher's version prints "© 2014 Wiley Periodicals, Inc." on its first page, at the end of the abstract and at the page foot (text layer read), and the author-posted copy of the publisher's version carries that printed notice, every other right reserved.
Read status: claims checked for Conjecture 1 and Theorems 1.2, 1.3 and 1.4 (p. 609 = PDF p. 2), read clause by clause on the page image, together with the same page's account of the lower bounds (Gallai's , "see [8]", and Erdős's later remark of , their [6]) and of the classical argument; Theorem 1.1 (Lovász, quoted) and the path bound of Dean--Kouider and Yan (their [5, 19]) were read on the page image of p. 608. The proofs (Sections 2--6) were not read.
Bears on. #184: Theorem 1.2 gives , the general bound before Bucić and Montgomery; Theorems 1.3 and 1.4 prove the conjecture for random graphs and for linear minimum degree; p. 609 records the lower bounds and . Paged at theorem_1_2, theorem_1_3 and theorem_1_4.
Results to transcribe.
- Theorem 1.2 (p. 609): average degree d allows a split into O(n log log d) cycles and single edges, so f(n) = O(n log log n).
- Theorem 1.3 (p. 609): one absolute constant c serves every p = p(n); a.a.s. G(n,p) splits into at most cn cycles and single edges.
- Theorem 1.4 (p. 609): minimum degree cn allows a split into O(c^-12 n) cycles and single edges.
- Conjecture 1 (context): Erdos-Gallai: every n-vertex graph decomposes into O(n) cycles and edges; known lower bounds (4/3 - o(1))n (Gallai's example) and (3/2 - o(1))n (Erdős's later remark), both on p. 609.
No file of this source is held: no license on record permits its redistribution, and the card cites the edition it names above.