Title
Chasing the K-Colorability Threshold
Abstract
In this paper we establish a substantially improved lower bound on the k-color ability threshold of the random graph G(n, m) with n vertices and m edges. The new lower bound is approximately 1.39 less than the 2k*ln(k)-ln(k) first-moment upper bound (and approximately 0.39 less than the 2k*ln(k)-ln(k)-1 physics conjecture). By comparison, the best previous bounds left a gap of about 2+ln(k), unbounded in terms of the number of colors [Achlioptas, Naor: STOC 2004]. Furthermore, we prove that, in a precise sense, our lower bound marks the so-called condensation phase transition predicted on the basis of physics arguments [Krzkala et al.: PNAS 2007]. Our proof technique is a novel approach to the second moment method, inspired by physics conjectures on the geometry of the set of k-colorings of the random graph.
Year
DOI
Venue
2013
10.1109/FOCS.2013.48
foundations of computer science
Keywords
DocType
Volume
lower bound mark,random graph,novel approach,n vertex,physics conjecture,k-colorability threshold,previous bound,k-color ability threshold,physics argument,m edge,moment method,set theory
Conference
abs/1304.1063
ISSN
Citations 
PageRank 
0272-5428
20
0.86
References 
Authors
19
2
Name
Order
Citations
PageRank
Amin Coja-Oghlan154347.25
Dan Vilenchik214313.36