Small Noise Perturbations in Multidimensional Case
Andrey Pilipenko, Frank Norbert Proske

TL;DR
This paper investigates the behavior of multidimensional ODEs perturbed by alpha-stable noise with irregular vector fields, extending previous one-dimensional results to higher dimensions and analyzing their zero-noise limits.
Contribution
It generalizes existing one-dimensional zero-noise limit results to multidimensional cases with irregular vector fields and introduces a novel analytical approach based on SDE transformations.
Findings
Extended zero-noise limit results to multidimensional systems.
Analyzed SDEs for large time behavior related to perturbed ODEs.
Provided a framework for studying irregular vector fields in stochastic perturbations.
Abstract
In this paper we study zero-noise limits of stable noise perturbed ODE's which are driven by an irregular vector field with asymptotics at zero, where is a continuous function and . The results established in this article can be considered a generalization of those in the seminal works of Bafico \cite{Ba} and Bafico, Baldi \cite{BB} to the multi-dimensional case. Our approach for proving these results is inspired by techniques in \cite% {PP_self_similar} and based on the analysis of an SDE for , which is obtained through a transformation of the perturbed ODE.
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.
Taxonomy
TopicsStochastic processes and financial applications · Stochastic processes and statistical mechanics · Advanced Mathematical Modeling in Engineering
