Poissonization-based collision threshold derivation for random walks on lattices
Zachary Burton

TL;DR
This paper presents a Poissonization-based method to derive the collision threshold for two independent random walks on integer lattices, showing finiteness of expected collisions depends on the dimension.
Contribution
It introduces a novel Poissonization technique to analyze collision probabilities, providing a clear proof and a general asymptotic formula for collisions in lattice random walks.
Findings
Expected number of collisions is finite if and only if dimension d ≥ 3.
Derived a general asymptotic formula for the number of collisions.
Provided a self-contained proof using Bessel functions and asymptotic analysis.
Abstract
In this expository note, we give a short derivation of the expected number of collisions between two independent simple random walkers on integer lattices. Adapting a Poissonization technique introduced by Lange, we express the collision probability as the return probability of the continuous-time difference walk, given by a modified Bessel function. Analyzing its asymptotic decay yields a clean, self-contained proof that the expected number of collisions in is finite if and only if . We also provide a general formula for the asymptotic number of collisions.
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Taxonomy
TopicsPrivacy-Preserving Technologies in Data · Stochastic processes and statistical mechanics
