{"title":"A reversible investment problem with general cost function in finite horizon: Free boundaries analysis","authors":"Xiaoru Han , Fahuai Yi","doi":"10.1016/j.jmaa.2025.129221","DOIUrl":null,"url":null,"abstract":"<div><div>This paper focuses on optimizing reversible investments in a finite horizon, considering a quadratic cost function. The aim is to derive the optimal investment and divestment strategies for minimizing the overall expected cost. These strategies are characterized by two free boundaries, determined by solving a two-dimensional time-dependent Hamilton-Jacobi-Bellman (HJB) equation under gradient constraints. Due to spatial non-homogeneity, reducing the equation's dimension is infeasible. Employing the partial differential equation method, we establish the temporal continuity of the free boundaries, identify non-monotonicity cases, and determine their asymptotes. We also rigorously prove the strict monotonicity and continuity of the free boundaries with respect to spatial variables. The proposed approach can be extended to analyze situations with general cost functions.</div></div>","PeriodicalId":50147,"journal":{"name":"Journal of Mathematical Analysis and Applications","volume":"546 2","pages":"Article 129221"},"PeriodicalIF":1.2000,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Mathematical Analysis and Applications","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022247X25000022","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/7 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MATHEMATICS","Score":null,"Total":0}
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Abstract
This paper focuses on optimizing reversible investments in a finite horizon, considering a quadratic cost function. The aim is to derive the optimal investment and divestment strategies for minimizing the overall expected cost. These strategies are characterized by two free boundaries, determined by solving a two-dimensional time-dependent Hamilton-Jacobi-Bellman (HJB) equation under gradient constraints. Due to spatial non-homogeneity, reducing the equation's dimension is infeasible. Employing the partial differential equation method, we establish the temporal continuity of the free boundaries, identify non-monotonicity cases, and determine their asymptotes. We also rigorously prove the strict monotonicity and continuity of the free boundaries with respect to spatial variables. The proposed approach can be extended to analyze situations with general cost functions.
期刊介绍：
The Journal of Mathematical Analysis and Applications presents papers that treat mathematical analysis and its numerous applications. The journal emphasizes articles devoted to the mathematical treatment of questions arising in physics, chemistry, biology, and engineering, particularly those that stress analytical aspects and novel problems and their solutions.
Papers are sought which employ one or more of the following areas of classical analysis:
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• Real and harmonic analysis
• Complex analysis
• Numerical analysis
• Applied mathematics
• Partial differential equations
• Dynamical systems
• Control and Optimization
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• Mathematical physics.
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