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Statement

"Theorem 1.2. Every graph on nn vertices with average degree dd can be decomposed into O(nlog⁡log⁡d)O(n\log\log d) cycles and edges."

Writing f(n)f(n) for the least number such that every nn-vertex graph decomposes into at most f(n)f(n) cycles and edges (the paper's definition, p. 609), the theorem gives f(n)=O(nlog⁡log⁡n)f(n)=O(n\log\log n), which the paper calls "the first progress on the Erdős-Gallai conjecture". The same page records the classical bound: by the Erdős--Gallai long-cycle theorem (their [7]), more than ℓ(n−1)/2\ell(n-1)/2 edges on nn vertices force a cycle of length at least ℓ\ell, so after O(n)O(n) greedy removals of longest cycles what remains is a forest or has at most half the edges, and f(n)=O(nlog⁡n)f(n)=O(n\log n) "follows from a simple iteration".

Source. D. Conlon, J. Fox and B. Sudakov, Cycle packing, Random Structures Algorithms 45 (2014), no. 4, 608--626, doi:10.1002/rsa.20574; printed p. 609 = PDF p. 2 of the publisher's version, read on the page image. The artifact is identified in the source digest.

Read depth. Claims checked: the statement and the paragraph before it were read clause by clause on the page image of p. 609. The proof (Section 2, with the technical lemma of Section 3) was not read.

Proof pointer

Section 2 (pp. 610--611) proves the theorem by iterating Lemma 2.5: remove longest cycles until none is longer than d/30d/30, then cut the rest into small pieces (Lemma 2.2) and partition all but few edges of each into cycles by the main Lemma 2.3, so that O(n)O(n) cycles take the average degree from dd to at most d9/10d^{9/10} and O(log⁡log⁡d)O(\log\log d) rounds suffice. Lemma 2.3 is proved in Section 3 (pp. 611--614) by splitting the graph, after deleting few edges, into expanding pieces (Lemma 3.1) and closing the paths of Lovász's path-and-cycle decomposition into cycles through a reserved vertex set (Lemmas 3.2--3.4). Not reconstructed here.

Dependencies

Internal lemmas of the paper; the Erdős--Gallai long-cycle theorem (their [7]) for the classical bound only.

Bears on

  • Problem 184: the 2014 upper bound O(nlog⁡log⁡n)O(n\log\log n), since improved to O(nlog⁡⋆n)O(n\log^\star n) by Bucić and Montgomery.