2020
DOI: 10.48550/arxiv.2004.04672
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Random perturbation of sparse graphs

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“…In this section we prove Theorem 1.3. The main ingredients of our proof are Theorem 1.1, a randomness shift argument, taken from [31], which shifts randomness, so to speak, from the random perturbation to the seed, and an absorbing structure; the latter can be viewed as a rainbow variant of the one used in [27] (see also [14]).…”
Section: Prescribed Rainbow Spanning Trees In Randomly Perturbed Graphsmentioning
confidence: 99%
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“…In this section we prove Theorem 1.3. The main ingredients of our proof are Theorem 1.1, a randomness shift argument, taken from [31], which shifts randomness, so to speak, from the random perturbation to the seed, and an absorbing structure; the latter can be viewed as a rainbow variant of the one used in [27] (see also [14]).…”
Section: Prescribed Rainbow Spanning Trees In Randomly Perturbed Graphsmentioning
confidence: 99%
“…The study of the emergence of various spanning configurations in randomly perturbed (hyper)graphs dates back to the work of Bohman, Frieze, and Martin [11], and received significant attention in recent years, see e.g. [8,9,10,13,14,18,27,28,30,31,32] to name just a few. In most results in this area, the random perturbation is the binomial random graph G(n, p) (or the, essentially equivalent, Erdős-Rényi random graph G(n, m)); however, quite recently other distributions have been considered, such as random geometric graphs [16] and random regular graphs [17].…”
Section: Introductionmentioning
confidence: 99%