On the number of solutions in random graph $k$-colouring
Felicia Rassmann

TL;DR
This paper precisely characterizes the asymptotic distribution of the logarithm of the number of proper k-colourings in random graphs, linking fluctuations to small cycle counts, across a broad degree range.
Contribution
It provides the first exact asymptotic distribution of the number of k-colourings in random graphs, extending to degrees up to the condensation phase transition for large k.
Findings
Distribution of ln Z_k(G(n,m)) is determined asymptotically.
Fluctuations are linked to small cycle counts.
Results apply to a wide range of average degrees.
Abstract
Let be a fixed integer. We exactly determine the asymptotic distribution of , where is the number of -colourings of the random graph . A crucial observation to this aim is that the fluctuations in the number of colourings can be attributed to the fluctuations in the number of small cycles in . Our result holds for a wide range of average degrees, and for exceeding a certain constant it covers all average degrees up to the so-called "condensation phase transition".
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and statistical mechanics · Limits and Structures in Graph Theory · Advanced Graph Theory Research
