{"title":"硬杀伤的模仿和条件控制","authors":"Rene Carmona, Daniel Lacker","doi":"arxiv-2409.10650","DOIUrl":null,"url":null,"abstract":"We first prove a mimicking theorem (also known as a Markovian projection\ntheorem) for the marginal distributions of an Ito process conditioned to not\nhave exited a given domain. We then apply this new result to the proof of a\nconjecture of P.L. Lions for the optimal control of conditioned processes.","PeriodicalId":501245,"journal":{"name":"arXiv - MATH - Probability","volume":"32 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mimicking and Conditional Control with Hard Killing\",\"authors\":\"Rene Carmona, Daniel Lacker\",\"doi\":\"arxiv-2409.10650\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We first prove a mimicking theorem (also known as a Markovian projection\\ntheorem) for the marginal distributions of an Ito process conditioned to not\\nhave exited a given domain. We then apply this new result to the proof of a\\nconjecture of P.L. Lions for the optimal control of conditioned processes.\",\"PeriodicalId\":501245,\"journal\":{\"name\":\"arXiv - MATH - Probability\",\"volume\":\"32 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - MATH - Probability\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.10650\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - MATH - Probability","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.10650","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mimicking and Conditional Control with Hard Killing
We first prove a mimicking theorem (also known as a Markovian projection
theorem) for the marginal distributions of an Ito process conditioned to not
have exited a given domain. We then apply this new result to the proof of a
conjecture of P.L. Lions for the optimal control of conditioned processes.