A General Maximum Principle for Progressive Optimal Control of Fully Coupled Forward-Backward Stochastic Systems with Jumps

Fuente: arXiv
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Autori principali: Wang, Bin, Si, Yu, Shi, Jingtao
Natura: Preprint
Pubblicazione: 2024
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author Wang, Bin
Si, Yu
Shi, Jingtao
author_facet Wang, Bin
Si, Yu
Shi, Jingtao
contents This paper is concerned with a general maximum principle for the fully coupled forward-backward stochastic optimal control problem with jumps, where the control domain is not necessarily convex, within the progressively measurable framework. A distinct feature in this paper is that the solution $Z$ of BSDEPs could include the variable ``$e$'', further, the diffusion term of BSDEPs takes the form $\int_{\mathcal{E}}Z_{(t,e)}ν(d e)d W_t$ rather than the conventional $Z_t dW_t$, reflecting the essential coupling between the solution component $Z$ and the Polish space $\mathcal{E}$.
format Preprint
id arxiv_https___arxiv_org_abs_2407_04201
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A General Maximum Principle for Progressive Optimal Control of Fully Coupled Forward-Backward Stochastic Systems with Jumps
Wang, Bin
Si, Yu
Shi, Jingtao
Optimization and Control
93E20, 49K45, 60H10, 60G55
This paper is concerned with a general maximum principle for the fully coupled forward-backward stochastic optimal control problem with jumps, where the control domain is not necessarily convex, within the progressively measurable framework. A distinct feature in this paper is that the solution $Z$ of BSDEPs could include the variable ``$e$'', further, the diffusion term of BSDEPs takes the form $\int_{\mathcal{E}}Z_{(t,e)}ν(d e)d W_t$ rather than the conventional $Z_t dW_t$, reflecting the essential coupling between the solution component $Z$ and the Polish space $\mathcal{E}$.
title A General Maximum Principle for Progressive Optimal Control of Fully Coupled Forward-Backward Stochastic Systems with Jumps
topic Optimization and Control
93E20, 49K45, 60H10, 60G55
url https://arxiv.org/abs/2407.04201