Relationship between stochastic maximum principle and dynamic programming principle under convex expectation

Fuente: arXiv
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Hauptverfasser: Li, Xiaojuan, Hu, Mingshang
Format: Preprint
Veröffentlicht: 2024
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author Li, Xiaojuan
Hu, Mingshang
author_facet Li, Xiaojuan
Hu, Mingshang
contents In this paper, we study the relationship between maximum principle (MP) and dynamic programming principle (DPP) for forward-backward control system under consistent convex expectation dominated by G-expectation. Under the smooth assumptions for the value function, we get the relationship between MP and DPP under a reference probability by establishing a useful estimate. If the value function is not smooth, then we obtain the first-order sub-jet and super-jet of the value function at any t. However, the processing method in this case is much more difficult than that when t equals 0.
format Preprint
id arxiv_https___arxiv_org_abs_2409_10987
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Relationship between stochastic maximum principle and dynamic programming principle under convex expectation
Li, Xiaojuan
Hu, Mingshang
Optimization and Control
93E20, 60H10, 35K15
In this paper, we study the relationship between maximum principle (MP) and dynamic programming principle (DPP) for forward-backward control system under consistent convex expectation dominated by G-expectation. Under the smooth assumptions for the value function, we get the relationship between MP and DPP under a reference probability by establishing a useful estimate. If the value function is not smooth, then we obtain the first-order sub-jet and super-jet of the value function at any t. However, the processing method in this case is much more difficult than that when t equals 0.
title Relationship between stochastic maximum principle and dynamic programming principle under convex expectation
topic Optimization and Control
93E20, 60H10, 35K15
url https://arxiv.org/abs/2409.10987