Fractional Backward Stochastic Partial Differential Equations with Applications to Stochastic Optimal Control of Partially Observed Systems driven by Lévy Processes

Fuente: arXiv
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Autores principales: Ye, Yuyang, Li, Yunzhang, Tang, Shanjian
Formato: Preprint
Publicado: 2024
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author Ye, Yuyang
Li, Yunzhang
Tang, Shanjian
author_facet Ye, Yuyang
Li, Yunzhang
Tang, Shanjian
contents In this paper, we study the Cauchy problem for backward stochastic partial differential equations (BSPDEs) involving fractional Laplacian operator. Firstly, by employing the martingale representation theorem and the fractional heat kernel, we construct an explicit form of the solution for fractional BSPDEs with space invariant coefficients, thereby demonstrating the existence and uniqueness of strong solution. Then utilizing the freezing coefficients method as well as the continuation method, we establish Hölder estimates and well-posedness for general fractional BSPDEs with coefficients dependent on space-time variables. As an application, we use the fractional adjoint BSPDEs to investigate stochastic optimal control of the partially observed systems driven by $α$-stable Lévy processes.
format Preprint
id arxiv_https___arxiv_org_abs_2409_07052
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Fractional Backward Stochastic Partial Differential Equations with Applications to Stochastic Optimal Control of Partially Observed Systems driven by Lévy Processes
Ye, Yuyang
Li, Yunzhang
Tang, Shanjian
Probability
Optimization and Control
35R60, 35S10, 60H15, 93E20
In this paper, we study the Cauchy problem for backward stochastic partial differential equations (BSPDEs) involving fractional Laplacian operator. Firstly, by employing the martingale representation theorem and the fractional heat kernel, we construct an explicit form of the solution for fractional BSPDEs with space invariant coefficients, thereby demonstrating the existence and uniqueness of strong solution. Then utilizing the freezing coefficients method as well as the continuation method, we establish Hölder estimates and well-posedness for general fractional BSPDEs with coefficients dependent on space-time variables. As an application, we use the fractional adjoint BSPDEs to investigate stochastic optimal control of the partially observed systems driven by $α$-stable Lévy processes.
title Fractional Backward Stochastic Partial Differential Equations with Applications to Stochastic Optimal Control of Partially Observed Systems driven by Lévy Processes
topic Probability
Optimization and Control
35R60, 35S10, 60H15, 93E20
url https://arxiv.org/abs/2409.07052