The quenched limiting distributions of a one-dimensional random walk in random scenery
Nadine Guillotin-Plantard (ICJ), Yueyun Hu (LAGA), Bruno Schapira, (LATP)

TL;DR
This paper investigates the limiting behavior of a one-dimensional random walk in random scenery, revealing that it does not converge in law when conditioned on the scenery, unlike higher-dimensional cases.
Contribution
It applies Strassen's functional law of the iterated logarithm to establish quenched weak limits for the one-dimensional RWRS, a novel approach in this context.
Findings
One-dimensional RWRS does not converge in law conditioned on scenery.
The method uses Strassen's functional law of the iterated logarithm.
Contrasts with multi-dimensional RWRS behavior.
Abstract
For a one-dimensional random walk in random scenery (RWRS) on Z, we determine its quenched weak limits by applying Strassen's functional law of the iterated logarithm. As a consequence, conditioned on the random scenery, the one-dimensional RWRS does not converge in law, in contrast with the multi-dimensional case.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Mathematical Dynamics and Fractals · Markov Chains and Monte Carlo Methods
