{"title":"Stopper vs. Singular Controller Games With Degenerate Diffusions","authors":"Andrea Bovo, Tiziano De Angelis, Jan Palczewski","doi":"10.1007/s00245-024-10199-2","DOIUrl":null,"url":null,"abstract":"<div><p>We study zero-sum stochastic games between a singular controller and a stopper when the (state-dependent) diffusion matrix of the underlying controlled diffusion process is degenerate. In particular, we show the existence of a value for the game and determine an optimal strategy for the stopper. The degeneracy of the dynamics prevents the use of analytical methods based on solution in Sobolev spaces of suitable variational problems. Therefore we adopt a probabilistic approach based on a perturbation of the underlying diffusion modulated by a parameter <span>\\(\\gamma >0\\)</span>. For each <span>\\(\\gamma >0\\)</span> the approximating game is non-degenerate and admits a value <span>\\(u^\\gamma \\)</span> and an optimal strategy <span>\\(\\tau ^\\gamma _*\\)</span> for the stopper. Letting <span>\\(\\gamma \\rightarrow 0\\)</span> we prove convergence of <span>\\(u^\\gamma \\)</span> to a function <i>v</i>, which identifies the value of the original game. We also construct explicitly optimal stopping times <span>\\(\\theta ^\\gamma _*\\)</span> for <span>\\(u^\\gamma \\)</span>, related but not equal to <span>\\(\\tau ^\\gamma _*\\)</span>, which converge almost surely to an optimal stopping time <span>\\(\\theta _*\\)</span> for the game with degenerate dynamics.</p></div>","PeriodicalId":55566,"journal":{"name":"Applied Mathematics and Optimization","volume":"91 1","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00245-024-10199-2.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Mathematics and Optimization","FirstCategoryId":"100","ListUrlMain":"https://link.springer.com/article/10.1007/s00245-024-10199-2","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
We study zero-sum stochastic games between a singular controller and a stopper when the (state-dependent) diffusion matrix of the underlying controlled diffusion process is degenerate. In particular, we show the existence of a value for the game and determine an optimal strategy for the stopper. The degeneracy of the dynamics prevents the use of analytical methods based on solution in Sobolev spaces of suitable variational problems. Therefore we adopt a probabilistic approach based on a perturbation of the underlying diffusion modulated by a parameter \(\gamma >0\). For each \(\gamma >0\) the approximating game is non-degenerate and admits a value \(u^\gamma \) and an optimal strategy \(\tau ^\gamma _*\) for the stopper. Letting \(\gamma \rightarrow 0\) we prove convergence of \(u^\gamma \) to a function v, which identifies the value of the original game. We also construct explicitly optimal stopping times \(\theta ^\gamma _*\) for \(u^\gamma \), related but not equal to \(\tau ^\gamma _*\), which converge almost surely to an optimal stopping time \(\theta _*\) for the game with degenerate dynamics.
期刊介绍:
The Applied Mathematics and Optimization Journal covers a broad range of mathematical methods in particular those that bridge with optimization and have some connection with applications. Core topics include calculus of variations, partial differential equations, stochastic control, optimization of deterministic or stochastic systems in discrete or continuous time, homogenization, control theory, mean field games, dynamic games and optimal transport. Algorithmic, data analytic, machine learning and numerical methods which support the modeling and analysis of optimization problems are encouraged. Of great interest are papers which show some novel idea in either the theory or model which include some connection with potential applications in science and engineering.