Open Access
June, 2022 Infinite Horizon Stochastic Delay Evolution Equations in Hilbert Spaces and Stochastic Maximum Principle
Han Li, Jianjun Zhou, Haoran Dai, Biteng Xu, Wenxu Dong
Author Affiliations +
Taiwanese J. Math. 26(3): 635-665 (June, 2022). DOI: 10.11650/tjm/211202

Abstract

In this paper, a class of infinite horizon optimal control problems is established, where the state equation is given by a stochastic delay evolution equation (SDEE), and the corresponding adjoint equation is given by an anticipated backward stochastic evolution equation (ABSEE). Firstly, we extend the form of Itô formula. After that, we establish the priori estimate for the solution to ABSEEs, and then the existence and uniqueness results of ABSEEs on infinite horizon are obtained. Finally, we establish necessary and sufficient conditions of stochastic maximum principle for infinite horizon optimal control problem in the form of Pontryagin's maximum principle.

Funding Statement

This work was partially supported by the National Natural Science Foundation of China (Grant No. 11401474), the Natural Science Foundation of Shaanxi Province (Grant No. 2021JM-083) and the Fundamental Research Funds for the Central Universities (Grant Nos. 2452019075, 2452021063).

Citation

Download Citation

Han Li. Jianjun Zhou. Haoran Dai. Biteng Xu. Wenxu Dong. "Infinite Horizon Stochastic Delay Evolution Equations in Hilbert Spaces and Stochastic Maximum Principle." Taiwanese J. Math. 26 (3) 635 - 665, June, 2022. https://doi.org/10.11650/tjm/211202

Information

Received: 9 August 2020; Revised: 1 December 2021; Accepted: 2 December 2021; Published: June, 2022
First available in Project Euclid: 15 December 2021

MathSciNet: MR4484266
zbMATH: 1497.93243
Digital Object Identifier: 10.11650/tjm/211202

Subjects:
Primary: 49K27 , 60H30 , 93E20

Keywords: anticipated backward stochastic evolution equations , infinite horizon , optimal control , stochastic maximum principle

Rights: Copyright © 2022 The Mathematical Society of the Republic of China

Vol.26 • No. 3 • June, 2022
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