On the Singular Control of a Diffusion and Its Running Infimum or Supremum

Fuente: arXiv
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Main Authors: Ferrari, Giorgio, Rodosthenous, Neofytos
Format: Preprint
Published: 2025
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author Ferrari, Giorgio
Rodosthenous, Neofytos
author_facet Ferrari, Giorgio
Rodosthenous, Neofytos
contents We study a class of singular stochastic control problems for a one-dimensional diffusion $X$ in which the performance criterion to be optimised depends explicitly on the running infimum $I$ (or supremum $S$) of the controlled process. We introduce two novel integral operators that are consistent with the Hamilton-Jacobi-Bellman equation for the resulting two-dimensional singular control problems. The first operator involves integrals where the integrator is the control process of the two-dimensional process $(X,I)$ or $(X,S)$; the second operator concerns integrals where the integrator is the running infimum or supremum process itself. Using these definitions, we prove a general verification theorem for problems involving two-dimensional state-dependent running costs, costs of controlling the process, costs of increasing the running infimum (or supremum) and exit times. Finally, we apply our results to explicitly solve an optimal dividend problem in which the manager's time-preferences depend on the company's historical worst performance.
format Preprint
id arxiv_https___arxiv_org_abs_2501_17577
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle On the Singular Control of a Diffusion and Its Running Infimum or Supremum
Ferrari, Giorgio
Rodosthenous, Neofytos
Optimization and Control
Probability
Mathematical Finance
93E20, 60J60, 49L12, 91B70
We study a class of singular stochastic control problems for a one-dimensional diffusion $X$ in which the performance criterion to be optimised depends explicitly on the running infimum $I$ (or supremum $S$) of the controlled process. We introduce two novel integral operators that are consistent with the Hamilton-Jacobi-Bellman equation for the resulting two-dimensional singular control problems. The first operator involves integrals where the integrator is the control process of the two-dimensional process $(X,I)$ or $(X,S)$; the second operator concerns integrals where the integrator is the running infimum or supremum process itself. Using these definitions, we prove a general verification theorem for problems involving two-dimensional state-dependent running costs, costs of controlling the process, costs of increasing the running infimum (or supremum) and exit times. Finally, we apply our results to explicitly solve an optimal dividend problem in which the manager's time-preferences depend on the company's historical worst performance.
title On the Singular Control of a Diffusion and Its Running Infimum or Supremum
topic Optimization and Control
Probability
Mathematical Finance
93E20, 60J60, 49L12, 91B70
url https://arxiv.org/abs/2501.17577