December 2023 Viscosity solutions to second order path-dependent Hamilton–Jacobi–Bellman equations and applications
Jianjun Zhou
Author Affiliations +
Ann. Appl. Probab. 33(6B): 5564-5612 (December 2023). DOI: 10.1214/23-AAP1954

Abstract

In this article a notion of viscosity solutions is introduced for second-order path-dependent Hamilton–Jacobi–Bellman (PHJB) equations associated with optimal control problems for path-dependent stochastic differential equations. We identify the value functional of optimal control problems as unique viscosity solution to the associated PHJB equations. We also show that our notion of viscosity solutions is consistent with the corresponding notion of classical solutions and satisfies a stability property. Applications to backward stochastic Hamilton–Jacobi–Bellman equations are also given.

Funding Statement

The author was partially supported by the National Natural Science Foundation of China (Grant No. 11401474), Shaanxi Natural Science Foundation (Grant No. 2021JM-083) and the Fundamental Research Funds for the Central Universities (Grant No. 2452022374).

Acknowledgments

The author would like to thank the anonymous referees, an Associate Editor and the Editor for their constructive comments that improved the quality of this paper.

Citation

Download Citation

Jianjun Zhou. "Viscosity solutions to second order path-dependent Hamilton–Jacobi–Bellman equations and applications." Ann. Appl. Probab. 33 (6B) 5564 - 5612, December 2023. https://doi.org/10.1214/23-AAP1954

Information

Received: 1 July 2021; Revised: 1 September 2022; Published: December 2023
First available in Project Euclid: 13 December 2023

MathSciNet: MR4677740
Digital Object Identifier: 10.1214/23-AAP1954

Subjects:
Primary: 49L20 , 49L25 , 60H30 , 93E20

Keywords: backward stochastic Hamilton–Jacobi–Bellman equations , optimal control , Path-dependent Hamilton–Jacobi–Bellman equations , path-dependent stochastic differential equations , viscosity solutions

Rights: Copyright © 2023 Institute of Mathematical Statistics

Vol.33 • No. 6B • December 2023
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