Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 183 tok/s
Gemini 2.5 Pro 49 tok/s Pro
GPT-5 Medium 29 tok/s Pro
GPT-5 High 24 tok/s Pro
GPT-4o 97 tok/s Pro
Kimi K2 221 tok/s Pro
GPT OSS 120B 440 tok/s Pro
Claude Sonnet 4.5 38 tok/s Pro
2000 character limit reached

Chasing the k-colorability threshold (1304.1063v3)

Published 3 Apr 2013 in cs.DM and math.CO

Abstract: Over the past decade, physicists have developed deep but non-rigorous techniques for studying phase transitions in discrete structures. Recently, their ideas have been harnessed to obtain improved rigorous results on the phase transitions in binary problems such as random $k$-SAT or $k$-NAESAT (e.g., Coja-Oghlan and Panagiotou: STOC 2013). However, these rigorous arguments, typically centered around the second moment method, do not extend easily to problems where there are more than two possible values per variable. The single most intensely studied example of such a problem is random graph $k$-coloring. Here we develop a novel approach to the second moment method in this problem. This new method, inspired by physics conjectures on the geometry of the set of $k$-colorings, allows us to establish a substantially improved lower bound on the $k$-colorability threshold. The new lower bound is within an additive $2\ln 2+o_k(1)\approx 1.39$ of a simple first-moment upper bound and within $2\ln 2-1+o_k(1)\approx 0.39$ of the physics conjecture. By comparison, the best previous lower bound left a gap of about $2+\ln k$, unbounded in terms of the number of colors [Achlioptas, Naor: STOC 2004].

Citations (66)

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.