A Central Limit Theorem for the Mean Starting Hitting Time for a Random Walk on a Random Graph

Author:

Löwe Matthias,Terveer Sara

Abstract

AbstractWe consider simple random walk on a realization of an Erdős–Rényi graph with n vertices and edge probability $$p_n$$ p n . We assume that $$n p^2_n/(\log \mathrm{n})^{16 \xi } \rightarrow \infty $$ n p n 2 / ( log n ) 16 ξ for some $$\xi >1$$ ξ > 1 defined below. This in particular implies that the graph is asymptotically almost surely (a.a.s.) connected. We show a central limit theorem for the average starting hitting time, i.e., the expected time it takes the random walker on average to first hit a vertex j when starting in a fixed vertex i. The average is taken with respect to $$\pi _j$$ π j , the invariant measure of the random walk.

Funder

Deutsche Forschungsgemeinschaft

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Cover and hitting times of hyperbolic random graphs;Random Structures & Algorithms;2024-07-26

2. Concentration of hitting times in Erdős‐Rényi graphs;Journal of Graph Theory;2024-05-12

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