A Hitting Time Formula for the Discrete Green's Function
Andrew Beveridge

TL;DR
This paper establishes a new formula linking the discrete Green's function of a graph to hitting times of random walks, revealing deep connections with stopping rules and exit frequencies, and extends these ideas to directed graphs and general distributions.
Contribution
It provides an elementary, explicit formula for Green's function in terms of hitting times, connecting it with stopping rules and exit frequencies, and generalizes the concept to directed graphs and arbitrary distributions.
Findings
Green's function expressed via hitting times and stationary distribution
Green's function equals exit frequencies plus a rank one matrix
Spectral formulas for Green's function and mixing measures
Abstract
The discrete Green's function (without boundary) is a pseudo-inverse of the combinatorial Laplace operator of a graph . We reveal the intimate connection between Green's function and the theory of exact stopping rules for random walks on graphs. We give an elementary formula for Green's function in terms of state-to-state hitting times of the underlying graph. Namely, where is the stationary distribution at vertex and is the expected hitting time for a random walk starting from vertex to first reach vertex . This formula also holds for the digraph Laplace operator. The most important characteristics of a stopping rule are its exit frequencies, which are the expected number of exits of a given vertex before the rule halts the walk. We show that Green's…
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