Bounded monochromatic components for random graphs
Nicolas Broutin, Ross J. Kang

TL;DR
This paper investigates the structure of vertex partitions in random graphs, focusing on the size of monochromatic components and introducing parameters like the $t$-component chromatic number and stability number, revealing phase transitions and precise asymptotics.
Contribution
It introduces and analyzes the $t$-component chromatic number and stability number in random graphs, providing thresholds, phase transitions, and exact asymptotic behaviors.
Findings
Threshold for $t$ around $ heta(p^{-1} ext{log} np)$ for phase transition.
Precise asymptotics for $t$-component parameters when $p$ is fixed.
Identification of a non-smooth function characterizing behavior at $t = heta( ext{log} n)$.
Abstract
We consider vertex partitions of the binomial random graph . For , we observe the following phenomenon: in any partition into asymptotically fewer than parts, i.e. parts, one part must induce a connected component of order at least roughly the average part size. Stated another way, we consider the -component chromatic number, the smallest number of colours needed in a colouring of the vertices for which no monochromatic component has more than vertices. As long as , there is a threshold for around : if is smaller then the -component chromatic number is nearly as large as the chromatic number, while if is greater then it is around . For fixed, we obtain more precise information. We find something more subtle happens at the threshold ,…
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Taxonomy
TopicsLimits and Structures in Graph Theory · Stochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods
