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The bipartition number of a graph is the smallest number of pairwise edge disjoint complete bipartite graphs whose union is . The independence number is the size of the largest independent subset of .
Is it true that, if is a random graph on vertices with edge probability , then
almost surely?
Source: erdosproblems.com/807
An accepted solution exists. The statement is false.
Disproved; the site labels the problem DISPROVED. Theorem 1.1 of [Al15] (J. Combin. Theory Ser. B 113 (2015), 220--235; refereed; cited from the arXiv version): with the largest such that the expected number of independent -sets in is at least , and the largest number of vertices of an induced complete bipartite subgraph, (i) if and then whp and , so whp; (ii) if , whp one of the four combinations of and holds, each with probability bounded away from and ; (iii) if , the same with in place of . In each of (ii) and (iii) three of the four combinations give through . So the equality fails with high probability for most and with probability bounded away from zero for every large , and the statement is false. Theorem 1.1 of [ABH17] (J. Graph Theory 84 (2017), 45--52; refereed; cited from the arXiv version) strengthens this to whp for an absolute constant , for every . The typical value of remains open between Chung and Peng's (second-hand) and this bound. Both results and their acceptance evidence are recorded on the claim pages Alon's Theorem 1.1 and Alon, Bohman and Huang's Theorem 1.1, from which the frontmatter is derived.