Decay of correlation for edge colorings when $q>3\Delta$
Zejia Chen, Yulin Wang, Chihao Zhang, Zihan Zhang

TL;DR
This paper investigates the decay of correlation in proper q-edge colorings of graphs with maximum degree Δ, establishing conditions for coupling independence, strong spatial mixing, and weak spatial mixing.
Contribution
It proves coupling independence for q≥3Δ, strong spatial mixing on trees for q> (3+o(1))Δ, and characterizes weak spatial mixing thresholds as q≥2Δ-1.
Findings
Coupling independence holds when q≥3Δ.
Strong spatial mixing on trees for q> (3+o(1))Δ.
Weak spatial mixing on trees for q≥2Δ-1.
Abstract
We examine various perspectives on the decay of correlation for the uniform distribution over proper -edge colorings of graphs with maximum degree . First, we establish the coupling independence property when for general graphs. Together with the work of Chen et al. (2024), this result implies a fully polynomial-time approximation scheme (FPTAS) for counting the number of proper -edge colorings. Next, we prove the strong spatial mixing property on trees, provided that . The strong spatial mixing property is derived from the spectral independence property of a version of the weighted edge coloring distribution, which is established using the matrix trickle-down method developed in Abdolazimi, Liu and Oveis Gharan (FOCS, 2021) and Wang, Zhang and Zhang (STOC, 2024). Finally, we show that the weak spatial mixing property holds on trees…
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.
