Recognition: unknown
Decomposing random graphs into few cycles and edges
classification
🧮 math.CO
keywords
edgescyclesdecomposedfracgraphrandomapproachingasymptotically
read the original abstract
Over 50 years ago, Erd\H{o}s and Gallai conjectured that the edges of every graph on $n$ vertices can be decomposed into $O(n)$ cycles and edges. Among other results, Conlon, Fox and Sudakov recently proved that this holds for the random graph $G(n,p)$ with probability approaching 1 as $n\rightarrow\infty$. In this paper we show that for most edge probabilities $G(n,p)$ can be decomposed into a union of $\frac{n}{4}+\frac{np}{2}+o(n)$ cycles and edges whp. This result is asymptotically tight.
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