Fokker-Planck equations for conditional McKean-Vlasov systems driven by Brownian sheets

Fuente: arXiv
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Hauptverfasser: Agram, Nacira, Øksendal, Bernt, Proske, Frank, Tymoshenko, Olena
Format: Preprint
Veröffentlicht: 2024
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author Agram, Nacira
Øksendal, Bernt
Proske, Frank
Tymoshenko, Olena
author_facet Agram, Nacira
Øksendal, Bernt
Proske, Frank
Tymoshenko, Olena
contents We investigate conditional McKean-Vlasov equations driven by time-space white noise, motivated by the propagation of chaos in an N-particle system with space-time Ornstein-Uhlenbeck dynamics. The framework builds on the stochastic calculus of time-space white noise, utilizing tools such as the two-parameter Ito formula, Malliavin calculus, and orthogonal decompositions to analyze convergence and stochastic properties. Existence and uniqueness of solutions for the associated stochastic partial differential equations (SPDEs) are rigorously established. Additionally, an integral stochastic Fokker-Planck equation is derived for the conditional law, employing Fourier transform methods and stochastic analysis in the plane. The framework is further applied to a partial observation control problem, showcasing its potential for analyzing stochastic systems with conditional dynamics.
format Preprint
id arxiv_https___arxiv_org_abs_2412_20572
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Fokker-Planck equations for conditional McKean-Vlasov systems driven by Brownian sheets
Agram, Nacira
Øksendal, Bernt
Proske, Frank
Tymoshenko, Olena
Probability
We investigate conditional McKean-Vlasov equations driven by time-space white noise, motivated by the propagation of chaos in an N-particle system with space-time Ornstein-Uhlenbeck dynamics. The framework builds on the stochastic calculus of time-space white noise, utilizing tools such as the two-parameter Ito formula, Malliavin calculus, and orthogonal decompositions to analyze convergence and stochastic properties. Existence and uniqueness of solutions for the associated stochastic partial differential equations (SPDEs) are rigorously established. Additionally, an integral stochastic Fokker-Planck equation is derived for the conditional law, employing Fourier transform methods and stochastic analysis in the plane. The framework is further applied to a partial observation control problem, showcasing its potential for analyzing stochastic systems with conditional dynamics.
title Fokker-Planck equations for conditional McKean-Vlasov systems driven by Brownian sheets
topic Probability
url https://arxiv.org/abs/2412.20572