Multidimensional Stable Driven McKean-Vlasov SDEs with Distributional Interaction Kernel: Critical Thresholds and Related Models

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Main Authors: de Raynal, P. -E Chaudru, Jabir, J. -F, Menozzi, S
Format: Preprint
Published: 2023
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author de Raynal, P. -E Chaudru
Jabir, J. -F
Menozzi, S
author_facet de Raynal, P. -E Chaudru
Jabir, J. -F
Menozzi, S
contents In this work we continue to investigate well-posedness for stable driven McKean-Vlasov SDEs with distributional interaction kernel following the approach introduced in [8]. We specifically focus on the impact of the Besov smoothness of the initial condition and quantify how it affects the corresponding density estimates for the SDE. In particular, we manage to attain some critical thresholds allowing to revisit/address in a stable noise setting some concrete physical and biological models.
format Preprint
id arxiv_https___arxiv_org_abs_2302_09900
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Multidimensional Stable Driven McKean-Vlasov SDEs with Distributional Interaction Kernel: Critical Thresholds and Related Models
de Raynal, P. -E Chaudru
Jabir, J. -F
Menozzi, S
Analysis of PDEs
Probability
In this work we continue to investigate well-posedness for stable driven McKean-Vlasov SDEs with distributional interaction kernel following the approach introduced in [8]. We specifically focus on the impact of the Besov smoothness of the initial condition and quantify how it affects the corresponding density estimates for the SDE. In particular, we manage to attain some critical thresholds allowing to revisit/address in a stable noise setting some concrete physical and biological models.
title Multidimensional Stable Driven McKean-Vlasov SDEs with Distributional Interaction Kernel: Critical Thresholds and Related Models
topic Analysis of PDEs
Probability
url https://arxiv.org/abs/2302.09900