Large Deviations Principle for Self-Intersection Local Times for random walk in dimension d>4
Amine Asselah

TL;DR
This paper establishes a large deviations principle for self-intersection local times of symmetric random walks in dimensions greater than four, providing insights into their probabilistic behavior and applications to random sceneries.
Contribution
It introduces a large deviations framework for self-intersection local times in high-dimensional random walks, extending understanding of their probabilistic properties.
Findings
Large deviations principle derived for self-intersection local times in d>4
Moderate deviations characterized for random walk in random sceneries
Enhanced understanding of high-dimensional random walk behaviors
Abstract
We obtain a large deviations principle for the self-intersection local times for a symmetric random walk in dimension d>4. As an application, we obtain moderate deviations for random walk in random sceneries in some region of parameters.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Mathematical Dynamics and Fractals · Markov Chains and Monte Carlo Methods
