M. Kobylanski, M. Quenez, Marc Roger de Campagnolle
{"title":"Dynkin游戏的一般框架","authors":"M. Kobylanski, M. Quenez, Marc Roger de Campagnolle","doi":"10.1080/17442508.2013.778860","DOIUrl":null,"url":null,"abstract":"We revisit the Dynkin game problem in a general framework and relax some assumptions. The pay-offs and the criterion are expressed in terms of families of random variables indexed by stopping times. We construct two non-negative supermartingale families J and whose finiteness is equivalent to the Mokobodski's condition. Under some weak right-regularity assumption on the pay-off families, the game is shown to be fair and is shown to be the common value function. Existence of saddle points is derived under some weak additional assumptions. All the results are written in terms of random variables and are proven by using only classical results of probability theory.","PeriodicalId":49269,"journal":{"name":"Stochastics-An International Journal of Probability and Stochastic Processes","volume":"466 1","pages":"304 - 329"},"PeriodicalIF":0.9000,"publicationDate":"2012-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"37","resultStr":"{\"title\":\"Dynkin games in a general framework\",\"authors\":\"M. Kobylanski, M. Quenez, Marc Roger de Campagnolle\",\"doi\":\"10.1080/17442508.2013.778860\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We revisit the Dynkin game problem in a general framework and relax some assumptions. The pay-offs and the criterion are expressed in terms of families of random variables indexed by stopping times. We construct two non-negative supermartingale families J and whose finiteness is equivalent to the Mokobodski's condition. Under some weak right-regularity assumption on the pay-off families, the game is shown to be fair and is shown to be the common value function. Existence of saddle points is derived under some weak additional assumptions. All the results are written in terms of random variables and are proven by using only classical results of probability theory.\",\"PeriodicalId\":49269,\"journal\":{\"name\":\"Stochastics-An International Journal of Probability and Stochastic Processes\",\"volume\":\"466 1\",\"pages\":\"304 - 329\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2012-02-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"37\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Stochastics-An International Journal of Probability and Stochastic Processes\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1080/17442508.2013.778860\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stochastics-An International Journal of Probability and Stochastic Processes","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1080/17442508.2013.778860","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
We revisit the Dynkin game problem in a general framework and relax some assumptions. The pay-offs and the criterion are expressed in terms of families of random variables indexed by stopping times. We construct two non-negative supermartingale families J and whose finiteness is equivalent to the Mokobodski's condition. Under some weak right-regularity assumption on the pay-off families, the game is shown to be fair and is shown to be the common value function. Existence of saddle points is derived under some weak additional assumptions. All the results are written in terms of random variables and are proven by using only classical results of probability theory.
期刊介绍:
Stochastics: An International Journal of Probability and Stochastic Processes is a world-leading journal publishing research concerned with stochastic processes and their applications in the modelling, analysis and optimization of stochastic systems, i.e. processes characterized both by temporal or spatial evolution and by the presence of random effects.
Articles are published dealing with all aspects of stochastic systems analysis, characterization problems, stochastic modelling and identification, optimization, filtering and control and with related questions in the theory of stochastic processes. The journal also solicits papers dealing with significant applications of stochastic process theory to problems in engineering systems, the physical and life sciences, economics and other areas. Proposals for special issues in cutting-edge areas are welcome and should be directed to the Editor-in-Chief who will review accordingly.
In recent years there has been a growing interaction between current research in probability theory and problems in stochastic systems. The objective of Stochastics is to encourage this trend, promoting an awareness of the latest theoretical developments on the one hand and of mathematical problems arising in applications on the other.