Regular occupation measures of Volterra processes

Fuente: arXiv
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Auteur principal: Friesen, Martin
Format: Preprint
Publié: 2024
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author Friesen, Martin
author_facet Friesen, Martin
contents We introduce a local non-determinism condition for Volterra Itô processes that captures smoothing properties of possibly degenerate noise. By combining the stochastic sewing lemma with one-step Euler approximations, we first prove the joint space-time regularity for their occupation measure, self-intersection measure, and time marginals for such Volterra Itô processes. As an application, we obtain the space-time regularity of local times and self-intersection times for rough perturbations of Gaussian Volterra processes, and construct a class of non-Gaussian Volterra Iô processes that are $C^{\infty}$-regularising. Secondly, for the particular class of stochastic Volterra equations with Hölder continuous coefficients, using disintegration of measures for their Markovian lifts, we further establish the absolute continuity of finite-dimensional distributions. Finally, we prove the existence, uniqueness, and stability for self-interacting stochastic equations with distributional drifts.
format Preprint
id arxiv_https___arxiv_org_abs_2404_05381
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Regular occupation measures of Volterra processes
Friesen, Martin
Probability
We introduce a local non-determinism condition for Volterra Itô processes that captures smoothing properties of possibly degenerate noise. By combining the stochastic sewing lemma with one-step Euler approximations, we first prove the joint space-time regularity for their occupation measure, self-intersection measure, and time marginals for such Volterra Itô processes. As an application, we obtain the space-time regularity of local times and self-intersection times for rough perturbations of Gaussian Volterra processes, and construct a class of non-Gaussian Volterra Iô processes that are $C^{\infty}$-regularising. Secondly, for the particular class of stochastic Volterra equations with Hölder continuous coefficients, using disintegration of measures for their Markovian lifts, we further establish the absolute continuity of finite-dimensional distributions. Finally, we prove the existence, uniqueness, and stability for self-interacting stochastic equations with distributional drifts.
title Regular occupation measures of Volterra processes
topic Probability
url https://arxiv.org/abs/2404.05381