Concentration of non-Lipschitz functions and applications
Random Structures & Algorithms - Probabilistic methods in combinatorial optimization
On the probability of independent sets in random graphs
Random Structures & Algorithms
The Choice Number of Dense Random Graphs
Combinatorics, Probability and Computing
On the Choice Number of Random Hypergraphs
Combinatorics, Probability and Computing
| Hi-index | 0.00 |
It is well known that almost every graph in the random space G(n, p) has chromatic number of order O(np-log(np)), but it is not clear how we can recognize such graphs without eventually computing the chromatic numbers, which is NP-hard. The first goal of this article is to show that the above-mentioned upper bound on the chromatic number can be guaranteed by simple degree conditions, which are satisfied by G(n, p) almost surely for most values of p. It turns out that the same conditions imply a similar bound for the choice number of a graph. The proof implies a polynomial coloring algorithm for the case p is not too small. Our result has several applications. It can be used to determine the right order of magnitude of the choice number of random graphs and hypergraphs. It also leads to a general bound on the choice number of locally sparse graphs and to several interesting facts about finite fields. © 1999 John Wiley & Sons, Inc. J Graph Theory 31: 201–226, 1999 This article was written while the author was with the Mathematics Department at Yale University.