Stochastic maximum principle for time-changed forward-backward stochastic control problem with Lévy noise

Fuente: arXiv
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Main Authors: Chen, Jingwei, Ye, Jun, Chen, Feng
Format: Preprint
Published: 2026
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author Chen, Jingwei
Ye, Jun
Chen, Feng
author_facet Chen, Jingwei
Ye, Jun
Chen, Feng
contents This paper establishes a stochastic maximum principle for optimal control problems governed by time-changed forward-backward stochastic differential equations with Lévy noise. The system incorporates a random, non-decreasing operational time (the inverse of an $α$-stable subordinator) to model phenomena like trapping events and subdiffusion. Using a duality transformation and the convex variational method, we derive necessary and sufficient conditions for optimality, expressed through a novel set of adjoint equations. Finally, the theoretical results are applied to solve an explicit cash management problem under stochastic recursive utility.
format Preprint
id arxiv_https___arxiv_org_abs_2603_25486
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Stochastic maximum principle for time-changed forward-backward stochastic control problem with Lévy noise
Chen, Jingwei
Ye, Jun
Chen, Feng
Optimization and Control
Probability
This paper establishes a stochastic maximum principle for optimal control problems governed by time-changed forward-backward stochastic differential equations with Lévy noise. The system incorporates a random, non-decreasing operational time (the inverse of an $α$-stable subordinator) to model phenomena like trapping events and subdiffusion. Using a duality transformation and the convex variational method, we derive necessary and sufficient conditions for optimality, expressed through a novel set of adjoint equations. Finally, the theoretical results are applied to solve an explicit cash management problem under stochastic recursive utility.
title Stochastic maximum principle for time-changed forward-backward stochastic control problem with Lévy noise
topic Optimization and Control
Probability
url https://arxiv.org/abs/2603.25486