Sample-path large deviations for L\'evy processes and random walks with Weibull increments
Mihail Bazhba, Jose Blanchet, Chang-Han Rhee, Bert Zwart

TL;DR
This paper establishes advanced large deviations principles for Lévy processes and random walks with Weibull-type heavy-tailed jumps, providing new topological results and applications to first passage problems.
Contribution
It extends large deviations principles to Weibull-tailed Lévy processes in multiple topologies and introduces a quasi-variational rate function representation.
Findings
Extended LDP in J1 topology
Full LDP in M1' topology
Application to first passage problem
Abstract
We study sample-path large deviations for L\'evy processes and random walks with heavy-tailed jump-size distributions that are of Weibull type. Our main results include an extended form of an LDP (large deviations principle) in the topology, and a full LDP in the topology. The rate function can be represented as the solution to a quasi-variational problem. The sharpness and applicability of these results are illustrated by a counterexample proving the nonexistence of a full LDP in the topology, and by an application to a first passage problem.
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