{"title":"Two-Player Diffusion Control Games with Private Information","authors":"Julian Wendt","doi":"10.1007/s00245-025-10303-0","DOIUrl":null,"url":null,"abstract":"<div><p>This paper presents a two-player stochastic differential game with diffusion control and rewards that are zero-sum. The players have i.i.d. exponentially distributed time horizons at which their states are compared and only the best player receives a reward. We assume that players have no information about their opponent and can only use private information for controlling their state. We show that there always exists a Markovian saddle point. Moreover, we consider the existence of saddle points in the class of threshold controls, i.e., controls choosing the maximal volatility below some threshold and the minimal above. There exists a symmetric saddle point of threshold type in closed form if and only if the ratio of maximal and minimal volatility does not exceed the value <span>\\(\\sqrt{2}\\)</span>.</p></div>","PeriodicalId":55566,"journal":{"name":"Applied Mathematics and Optimization","volume":"92 2","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Mathematics and Optimization","FirstCategoryId":"100","ListUrlMain":"https://link.springer.com/article/10.1007/s00245-025-10303-0","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
This paper presents a two-player stochastic differential game with diffusion control and rewards that are zero-sum. The players have i.i.d. exponentially distributed time horizons at which their states are compared and only the best player receives a reward. We assume that players have no information about their opponent and can only use private information for controlling their state. We show that there always exists a Markovian saddle point. Moreover, we consider the existence of saddle points in the class of threshold controls, i.e., controls choosing the maximal volatility below some threshold and the minimal above. There exists a symmetric saddle point of threshold type in closed form if and only if the ratio of maximal and minimal volatility does not exceed the value \(\sqrt{2}\).
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.