TY - JOUR
T1 - Why almost all k-colorable graphs are easy to color
AU - Coja-Oghlan, Amin
AU - Krivelevich, Michael
AU - Vilenchik, Dan
N1 - Funding Information:
Research of M. Krivelevich was supported in part by USA-Israel BSF Grant 2002-133, and by grant 526/05 from the Israel Science Foundation.
PY - 2010/4
Y1 - 2010/4
N2 - Coloring a k-colorable graph using k colors (k≥3) is a notoriously hard problem. Considering average case analysis allows for better results. In this work we consider the uniform distribution over k-colorable graphs with n vertices and exactly cn edges, c greater than some sufficiently large constant. We rigorously show that all proper k-colorings of most such graphs lie in a single "cluster", and agree on all but a small, though constant, portion of the vertices. We also describe a polynomial time algorithm that whp finds a proper k-coloring of such a random k-colorable graph, thus asserting that most such graphs are easy to color. This should be contrasted with the setting of very sparse random graphs (which are k-colorable whp), where experimental results show some regime of edge density to be difficult for many coloring heuristics.
AB - Coloring a k-colorable graph using k colors (k≥3) is a notoriously hard problem. Considering average case analysis allows for better results. In this work we consider the uniform distribution over k-colorable graphs with n vertices and exactly cn edges, c greater than some sufficiently large constant. We rigorously show that all proper k-colorings of most such graphs lie in a single "cluster", and agree on all but a small, though constant, portion of the vertices. We also describe a polynomial time algorithm that whp finds a proper k-coloring of such a random k-colorable graph, thus asserting that most such graphs are easy to color. This should be contrasted with the setting of very sparse random graphs (which are k-colorable whp), where experimental results show some regime of edge density to be difficult for many coloring heuristics.
KW - Average case analysis
KW - Random graphs
KW - Spectral analysis
KW - k-colorability
UR - http://www.scopus.com/inward/record.url?scp=77951258141&partnerID=8YFLogxK
U2 - 10.1007/s00224-009-9231-5
DO - 10.1007/s00224-009-9231-5
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
AN - SCOPUS:77951258141
SN - 1432-4350
VL - 46
SP - 523
EP - 565
JO - Theory of Computing Systems
JF - Theory of Computing Systems
IS - 3
ER -