Maximum principle for optimal control of infinite horizon stochastic difference equations driven by fractional noises

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Han, Yuecai, Li, Yuhang
Formato: Preprint
Publicado: 2025
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866917035858984960
author Han, Yuecai
Li, Yuhang
author_facet Han, Yuecai
Li, Yuhang
contents In this paper, infinite horizon stochastic difference equations and backward stochastic difference equations with fractional noises are studied. The main difficulty comes from fractional noises on infinite horizon. Motivated by discrete-time optimal control problem driven by fractional noises and on infinite horizon, the stochastic maximum principle for discrete-time control problem driven by fractional noises in infinite horizon is proved. As an application, an optimal investment problem is solved.
format Preprint
id arxiv_https___arxiv_org_abs_2510_20058
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Maximum principle for optimal control of infinite horizon stochastic difference equations driven by fractional noises
Han, Yuecai
Li, Yuhang
Optimization and Control
In this paper, infinite horizon stochastic difference equations and backward stochastic difference equations with fractional noises are studied. The main difficulty comes from fractional noises on infinite horizon. Motivated by discrete-time optimal control problem driven by fractional noises and on infinite horizon, the stochastic maximum principle for discrete-time control problem driven by fractional noises in infinite horizon is proved. As an application, an optimal investment problem is solved.
title Maximum principle for optimal control of infinite horizon stochastic difference equations driven by fractional noises
topic Optimization and Control
url https://arxiv.org/abs/2510.20058