DocumentCode :
655205
Title :
Chasing the K-Colorability Threshold
Author :
Coja-Oghlan, Amin ; Vilenchik, D.
Author_Institution :
Math. Inst., Goethe Univ., Frankfurt, Germany
fYear :
2013
fDate :
26-29 Oct. 2013
Firstpage :
380
Lastpage :
389
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 ≈ 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.
Keywords :
graph colouring; set theory; condensation phase transition; k-colorability threshold; physics arguments; physics conjectures; random graph; second moment method; set geometry; substantial lower bound improvement; Cavity resonators; Color; Geometry; Method of moments; Optimization; Physics; Random variables; graph coloring; phase transitions; random structures;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Foundations of Computer Science (FOCS), 2013 IEEE 54th Annual Symposium on
Conference_Location :
Berkeley, CA
ISSN :
0272-5428
Type :
conf
DOI :
10.1109/FOCS.2013.48
Filename :
6686174
Link To Document :
بازگشت