39 research outputs found
Local convergence of random graph colorings
Let be a random graph whose average degree is below the
-colorability threshold. If we sample a -coloring of
uniformly at random, what can we say about the correlations between the colors
assigned to vertices that are far apart? According to a prediction from
statistical physics, for average degrees below the so-called {\em condensation
threshold} , the colors assigned to far away vertices are
asymptotically independent [Krzakala et al.: Proc. National Academy of Sciences
2007]. We prove this conjecture for exceeding a certain constant .
More generally, we investigate the joint distribution of the -colorings that
induces locally on the bounded-depth neighborhoods of any fixed number
of vertices. In addition, we point out an implication on the reconstruction
problem
On the Power of Choice for k-Colorability of Random Graphs
In an r-choice Achlioptas process, random edges are generated r at a time, and an online strategy is used to select one of them for inclusion in a graph. We investigate the problem of whether such a selection strategy can shift the k-colorability transition; that is, the number of edges at which the graph goes from being k-colorable to non-k-colorable.
We show that, for k ? 9, two choices suffice to delay the k-colorability threshold, and that for every k ? 2, six choices suffice
The condensation phase transition in random graph coloring
Based on a non-rigorous formalism called the "cavity method", physicists have
put forward intriguing predictions on phase transitions in discrete structures.
One of the most remarkable ones is that in problems such as random -SAT or
random graph -coloring, very shortly before the threshold for the existence
of solutions there occurs another phase transition called "condensation"
[Krzakala et al., PNAS 2007]. The existence of this phase transition appears to
be intimately related to the difficulty of proving precise results on, e.g.,
the -colorability threshold as well as to the performance of message passing
algorithms. In random graph -coloring, there is a precise conjecture as to
the location of the condensation phase transition in terms of a distributional
fixed point problem. In this paper we prove this conjecture for exceeding a
certain constant