Maximum principle for stochastic optimal control problem under convex expectation

Fuente: arXiv
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Main Authors: Li, Xiaojuan, Hu, Mingshang
Format: Preprint
Published: 2024
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_version_ 1866911996001124352
author Li, Xiaojuan
Hu, Mingshang
author_facet Li, Xiaojuan
Hu, Mingshang
contents In this paper, we study a stochastic optimal control problem under a type of consistent convex expectation dominated by G-expectation. By the separation theorem for convex sets, we get the representation theorems for this convex expectation and conditional convex expectation. Based on these results, we obtain the variational equation for cost functional by weak convergence and discretization methods. Furthermore, we establish the maximum principle which is sufficient under usual convex assumptions. Finally, we study the linear quadratic control problem by using the obtained maximum principle.
format Preprint
id arxiv_https___arxiv_org_abs_2408_10587
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Maximum principle for stochastic optimal control problem under convex expectation
Li, Xiaojuan
Hu, Mingshang
Optimization and Control
93E20, 60H10, 35K15
In this paper, we study a stochastic optimal control problem under a type of consistent convex expectation dominated by G-expectation. By the separation theorem for convex sets, we get the representation theorems for this convex expectation and conditional convex expectation. Based on these results, we obtain the variational equation for cost functional by weak convergence and discretization methods. Furthermore, we establish the maximum principle which is sufficient under usual convex assumptions. Finally, we study the linear quadratic control problem by using the obtained maximum principle.
title Maximum principle for stochastic optimal control problem under convex expectation
topic Optimization and Control
93E20, 60H10, 35K15
url https://arxiv.org/abs/2408.10587