Random walks and L\'evy processes as rough paths
Ilya Chevyrev

TL;DR
This paper characterizes G-valued Lévy processes with finite p-variation, establishes convergence conditions for random walks to Lévy processes in p-variation topology, and applies these results to rough paths and stochastic flows.
Contribution
It provides a complete characterization of G-valued Lévy processes with finite p-variation and introduces new convergence criteria for random walks in this setting.
Findings
Characterization of Lévy processes with finite p-variation in homogeneous groups
Sufficient conditions for convergence of G-valued random walks to Lévy processes
Application to rough paths and stochastic flow convergence
Abstract
We consider random walks and L\'evy processes in a homogeneous group . For all , we completely characterise (almost) all -valued L\'evy processes whose sample paths have finite -variation, and give sufficient conditions under which a sequence of -valued random walks converges in law to a L\'evy process in -variation topology. In the case that is the free nilpotent Lie group over , so that processes of finite -variation are identified with rough paths, we demonstrate applications of our results to weak convergence of stochastic flows and provide a L\'evy-Khintchine formula for the characteristic function of the signature of a L\'evy process. At the heart of our analysis is a criterion for tightness of -variation for a collection of c\`adl\`ag strong Markov processes.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
