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Main Authors: Zhang, Qi, Zhang, Yanjie, Zhang, Ao
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2410.22141
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author Zhang, Qi
Zhang, Yanjie
Zhang, Ao
author_facet Zhang, Qi
Zhang, Yanjie
Zhang, Ao
contents This paper investigates a class of multiscale stochastic control problems driven by $α$-stable Lévy noises, where the controlled dynamics evolve across separate slow and fast time scales. The associated value functions are governed by a family of nonlocal Hamilton-Jacobi-Bellman (HJB) equations subject to singular perturbations. By employing the perturbed test function method, we carefully analyze this singular perturbation problem and derive a limiting effective equation as the time-scale separation parameter $\varepsilon$ approaches zero. This limiting equation characterizes the value function of the averaged control problem, thereby establishing a rigorous averaging principle for the original multiscale system. The effective Hamiltonian-along with the corresponding averaged control problem is obtained by averaging with respect to the invariant measure of the fast process. Moreover, we provide a probabilistic proof of convergence and establish an explicit convergence rate for the value functions.
format Preprint
id arxiv_https___arxiv_org_abs_2410_22141
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Singular Perturbations of Nonlocal HJB Equations in Multiscale Stochastic Control
Zhang, Qi
Zhang, Yanjie
Zhang, Ao
Optimization and Control
This paper investigates a class of multiscale stochastic control problems driven by $α$-stable Lévy noises, where the controlled dynamics evolve across separate slow and fast time scales. The associated value functions are governed by a family of nonlocal Hamilton-Jacobi-Bellman (HJB) equations subject to singular perturbations. By employing the perturbed test function method, we carefully analyze this singular perturbation problem and derive a limiting effective equation as the time-scale separation parameter $\varepsilon$ approaches zero. This limiting equation characterizes the value function of the averaged control problem, thereby establishing a rigorous averaging principle for the original multiscale system. The effective Hamiltonian-along with the corresponding averaged control problem is obtained by averaging with respect to the invariant measure of the fast process. Moreover, we provide a probabilistic proof of convergence and establish an explicit convergence rate for the value functions.
title Singular Perturbations of Nonlocal HJB Equations in Multiscale Stochastic Control
topic Optimization and Control
url https://arxiv.org/abs/2410.22141