Optimal Control in Infinite Dimensional Spaces and Economic Modeling: State of the Art and Perspectives

Fuente: arXiv
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Autori principali: Fabbri, Giorgio, Faggian, Silvia, Federico, Salvatore, Gozzi, Fausto
Natura: Preprint
Pubblicazione: 2025
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author Fabbri, Giorgio
Faggian, Silvia
Federico, Salvatore
Gozzi, Fausto
author_facet Fabbri, Giorgio
Faggian, Silvia
Federico, Salvatore
Gozzi, Fausto
contents This survey collects, within a unified framework, various results (primarily by the authors themselves) on the use of Deterministic Infinite-Dimensional Optimal Control Theory to address applied economic models. The main aim is to illustrate, through several examples, the typical features of such models (including state constraints, non-Lipschitz data, and non-regularizing differential operators) and the corresponding methods needed to handle them. This necessitates developing aspects of the existing Deterministic Infinite-Dimensional Optimal Control Theory (see, e.g., the book by Li and Yong, 2012) in specific and often nontrivial directions. Given the breadth of this area, we emphasize the Dynamic Programming Approach and its application to problems where explicit or quasi-explicit solutions of the associated Hamilton-Jacobi-Bellman (HJB) equations can be obtained. We also provide insights and references for cases where such explicit solutions are not available.
format Preprint
id arxiv_https___arxiv_org_abs_2509_19909
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Optimal Control in Infinite Dimensional Spaces and Economic Modeling: State of the Art and Perspectives
Fabbri, Giorgio
Faggian, Silvia
Federico, Salvatore
Gozzi, Fausto
Optimization and Control
35F21, 35Q91, 35Q93, 35R15, 49L12, 49L20, 49N90 83C20, 93C23
This survey collects, within a unified framework, various results (primarily by the authors themselves) on the use of Deterministic Infinite-Dimensional Optimal Control Theory to address applied economic models. The main aim is to illustrate, through several examples, the typical features of such models (including state constraints, non-Lipschitz data, and non-regularizing differential operators) and the corresponding methods needed to handle them. This necessitates developing aspects of the existing Deterministic Infinite-Dimensional Optimal Control Theory (see, e.g., the book by Li and Yong, 2012) in specific and often nontrivial directions. Given the breadth of this area, we emphasize the Dynamic Programming Approach and its application to problems where explicit or quasi-explicit solutions of the associated Hamilton-Jacobi-Bellman (HJB) equations can be obtained. We also provide insights and references for cases where such explicit solutions are not available.
title Optimal Control in Infinite Dimensional Spaces and Economic Modeling: State of the Art and Perspectives
topic Optimization and Control
35F21, 35Q91, 35Q93, 35R15, 49L12, 49L20, 49N90 83C20, 93C23
url https://arxiv.org/abs/2509.19909