Precise asymptotics of some meeting times arising from the voter model on large random regular graphs
Yu-Ting Chen

TL;DR
This paper derives precise asymptotic formulas for the expected meeting times of two independent stationary random walks on large random regular graphs, refining existing exponential approximations and aiding voter model diffusion analysis.
Contribution
It provides explicit asymptotic expressions for meeting times, improving the accuracy of previous exponential approximations in the context of large random regular graphs.
Findings
Expected meeting time asymptotics: N(k-1)/[2(k-2)]
Refined exponential approximation for meeting times
Enhanced understanding of voter model diffusion processes
Abstract
We consider two independent stationary random walks on large random regular graphs of degree with vertices. On these graphs, the exponential approximations of the meeting times are known to follow from existing methods and form a basis for the voter model's diffusion approximations. The main result of this note improves the exponential approximations to an explicit form such that the first moments are asymptotically equivalent to .
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
TopicsOpinion Dynamics and Social Influence · Stochastic processes and statistical mechanics · Complex Network Analysis Techniques
