LIPIcs - Leibniz International Proceedings in Informatics. Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2022)
Doi
Abstract
We study random walks on the giant component of Hyperbolic Random Graphs (HRGs), in the
regime when the degree distribution obeys a power law with exponent in the range (2, 3). In
particular, we focus on the expected times for a random walk to hit a given vertex or visit, i.e. cover,
all vertices. We show that up to multiplicative constants: the cover time is n(log n)
2
, the maximum
hitting time is n log n, and the average hitting time is n. The first two results hold in expectation
and a.a.s. and the last in expectation (with respect to the HRG).
We prove these results by determining the effective resistance either between an average vertex
and the well-connected “center” of HRGs or between an appropriately chosen collection of extremal
vertices. We bound the effective resistance by the energy dissipated by carefully designed network
flows associated to a tiling of the hyperbolic plane on which we overlay a forest-like structure