English

On MAXCUT in strictly supercritical random graphs, and coloring of random graphs and random tournaments

Combinatorics 2017-03-17 v2 Discrete Mathematics Probability

Abstract

We use a theorem by Ding, Lubetzky and Peres describing the structure of the giant component of random graphs in the strictly supercritical regime, in order to determine the typical size of MAXCUT of GG(n,1+εn)G\sim G\left(n,\frac {1+\varepsilon}n\right) in terms of ε\varepsilon. We then apply this result to prove the following conjecture by Frieze and Pegden. For every ε>0\varepsilon>0 there exists ε\ell_\varepsilon such that \whp GG(n,1+εn)G\sim G(n,\frac {1+\varepsilon}n) is not homomorphic to the cycle on 2ε+12\ell_\varepsilon+1 vertices. We also consider the coloring properties of biased random tournaments. A pp-random tournament on nn vertices is obtained from the transitive tournament by reversing each edge independently with probability pp. We show that for p=Θ(1n)p=\Theta(\frac 1n) the chromatic number of a pp-random tournament behaves similarly to that of a random graph with the same edge probability. To treat the case p=1+εnp=\frac {1+\varepsilon}n we use the aforementioned result on MAXCUT.

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Cite

@article{arxiv.1603.04044,
  title  = {On MAXCUT in strictly supercritical random graphs, and coloring of random graphs and random tournaments},
  author = {Lior Gishboliner and Michael Krivelevich and Gal Kronenberg},
  journal= {arXiv preprint arXiv:1603.04044},
  year   = {2017}
}

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15 pages