{"title":"分布相关二阶随机微分方程的哈纳克不等式","authors":"Xing Huang, Xiaochen Ma","doi":"10.1007/s10959-024-01346-0","DOIUrl":null,"url":null,"abstract":"<p>By investigating the regularity of the nonlinear semigroup <span>\\(P_t^*\\)</span> associated with the distribution dependent second-order stochastic differential equations, the Harnack inequality is derived when the drift is Lipschitz continuous in the measure variable under the distance induced by the functions being <span>\\(\\beta \\)</span>-Hölder continuous (with <span>\\(\\beta > \\frac{2}{3}\\)</span>) on the degenerate component and square root of Dini continuous on the non-degenerate one. The results extend the existing ones in which the drift is Lipschitz continuous in <span>\\(L^2\\)</span>-Wasserstein distance.</p>","PeriodicalId":54760,"journal":{"name":"Journal of Theoretical Probability","volume":"37 1","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Harnack Inequality for Distribution Dependent Second-Order Stochastic Differential Equations\",\"authors\":\"Xing Huang, Xiaochen Ma\",\"doi\":\"10.1007/s10959-024-01346-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>By investigating the regularity of the nonlinear semigroup <span>\\\\(P_t^*\\\\)</span> associated with the distribution dependent second-order stochastic differential equations, the Harnack inequality is derived when the drift is Lipschitz continuous in the measure variable under the distance induced by the functions being <span>\\\\(\\\\beta \\\\)</span>-Hölder continuous (with <span>\\\\(\\\\beta > \\\\frac{2}{3}\\\\)</span>) on the degenerate component and square root of Dini continuous on the non-degenerate one. The results extend the existing ones in which the drift is Lipschitz continuous in <span>\\\\(L^2\\\\)</span>-Wasserstein distance.</p>\",\"PeriodicalId\":54760,\"journal\":{\"name\":\"Journal of Theoretical Probability\",\"volume\":\"37 1\",\"pages\":\"\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2024-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Theoretical Probability\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1007/s10959-024-01346-0\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"STATISTICS & PROBABILITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Theoretical Probability","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s10959-024-01346-0","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
Harnack Inequality for Distribution Dependent Second-Order Stochastic Differential Equations
By investigating the regularity of the nonlinear semigroup \(P_t^*\) associated with the distribution dependent second-order stochastic differential equations, the Harnack inequality is derived when the drift is Lipschitz continuous in the measure variable under the distance induced by the functions being \(\beta \)-Hölder continuous (with \(\beta > \frac{2}{3}\)) on the degenerate component and square root of Dini continuous on the non-degenerate one. The results extend the existing ones in which the drift is Lipschitz continuous in \(L^2\)-Wasserstein distance.
期刊介绍:
Journal of Theoretical Probability publishes high-quality, original papers in all areas of probability theory, including probability on semigroups, groups, vector spaces, other abstract structures, and random matrices. This multidisciplinary quarterly provides mathematicians and researchers in physics, engineering, statistics, financial mathematics, and computer science with a peer-reviewed forum for the exchange of vital ideas in the field of theoretical probability.