Logarithmic scaling of planar random walk's local times
P\'eter N\'andori, Zeyu Shen

TL;DR
This paper demonstrates that when the local times of a planar simple random walk are scaled logarithmically, they converge to a non-degenerate jump process in the Skorokhod M1 topology, revealing new scaling behavior.
Contribution
It establishes the convergence of the scaled local time process to a pure jump process in the logarithmic time scale, highlighting a novel limit behavior in planar random walks.
Findings
Convergence in the Skorokhod M1 topology
Failure of convergence in the J1 topology
Identification of a non-degenerate jump process as the limit
Abstract
We prove that the local time process of a planar simple random walk, when time is scaled logarithmically, converges to a non-degenerate pure jump process. The convergence takes place in the Skorokhod space with respect to the topology and fails to hold in the topology.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Mathematical Dynamics and Fractals · Markov Chains and Monte Carlo Methods
