Path integral control under McKean-Vlasov dynamics

Fuente: arXiv
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1. Verfasser: Bennett, Timothy
Format: Preprint
Veröffentlicht: 2024
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author Bennett, Timothy
author_facet Bennett, Timothy
contents We investigate the complexities of the McKean-Vlasov optimal control problem, exploring its various formulations such as the strong and weak formulations, as well as both Markovian and non-Markovian setups within financial markets. Furthermore, we examine scenarios where the law governing the control process impacts the dynamics of options. By conceptualizing controls as probability measures on a fitting canonical space with filtrations, we unlock the potential to devise classical measurable selection methods, conditioning strategies, and concatenation arguments within this innovative framework. These tools enable us to establish the dynamic programming principle under a wide range of conditions.
format Preprint
id arxiv_https___arxiv_org_abs_2404_17006
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Path integral control under McKean-Vlasov dynamics
Bennett, Timothy
Optimization and Control
Probability
93E03, 93E20
We investigate the complexities of the McKean-Vlasov optimal control problem, exploring its various formulations such as the strong and weak formulations, as well as both Markovian and non-Markovian setups within financial markets. Furthermore, we examine scenarios where the law governing the control process impacts the dynamics of options. By conceptualizing controls as probability measures on a fitting canonical space with filtrations, we unlock the potential to devise classical measurable selection methods, conditioning strategies, and concatenation arguments within this innovative framework. These tools enable us to establish the dynamic programming principle under a wide range of conditions.
title Path integral control under McKean-Vlasov dynamics
topic Optimization and Control
Probability
93E03, 93E20
url https://arxiv.org/abs/2404.17006