On the Law of Large Numbers for the Empirical Measure Process of Generalized Dyson Brownian Motion
Li, Songzi3; Li, Xiang-Dong1,4; Xie, Yong-Xiao2
刊名JOURNAL OF STATISTICAL PHYSICS
2020-09-21
页码29
关键词Generalized Dyson Brownian motion McKean-Vlasov equation Gradient flow Optimal transportation Voiculescu free entropy Law of Large Numbers Propagation of chaos
ISSN号0022-4715
DOI10.1007/s10955-020-02627-8
英文摘要We study the generalized Dyson Brownian motion (GDBM) of an interacting N-particle system with logarithmic Coulomb interaction and general potential V. Under reasonable condition on V, we prove the existence and uniqueness of strong solution to SDE for GDBM. We then prove that the family of the empirical measures ofGDBMis tight on C([0, T], P(R)) and all the large N limits satisfy a nonlinear McKean-Vlasov equation. Inspired by previous works due to Biane and Speicher, Carrillo, McCann and Villani, and Blower, we prove that the McKean-Vlasov equation is indeed the gradient flow of the Voiculescu free entropy on the Wasserstein space of probability measures over R. Using the optimal transportation theory, we prove that if V '' >= K for some constant K is an element of R, the McKean-Vlasov equation has a unique weak solution in the space of probability measures P(R). This establishes the Law of Large Numbers and the propagation of chaos for the empirical measures of GDBM with non-quadratic external potentials which are not necessarily convex. Finally, we prove the longtime convergence of the McKean-Vlasov equation for C-2-convex potentials V.
资助项目NSFC[11601287] ; NSFC[11771430] ; NSFC[11901569] ; Key Laboratory RCSDS, CAS[2008DP173182]
WOS研究方向Physics
语种英语
出版者SPRINGER
WOS记录号WOS:000571672100001
内容类型期刊论文
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/52205]  
专题中国科学院数学与系统科学研究院
通讯作者Li, Xiang-Dong
作者单位1.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China
2.Shandong Normal Univ, Sch Math & Stat, 1 Univ Rd,Sci & Technol Pk, Jinan 250385, Peoples R China
3.Renmin Univ China, Sch Math, 59 Zhongguancun Da Jie, Beijing 100872, Peoples R China
4.Chinese Acad Sci, Acad Math & Syst Sci, 55 Zhongguancun East Rd, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Li, Songzi,Li, Xiang-Dong,Xie, Yong-Xiao. On the Law of Large Numbers for the Empirical Measure Process of Generalized Dyson Brownian Motion[J]. JOURNAL OF STATISTICAL PHYSICS,2020:29.
APA Li, Songzi,Li, Xiang-Dong,&Xie, Yong-Xiao.(2020).On the Law of Large Numbers for the Empirical Measure Process of Generalized Dyson Brownian Motion.JOURNAL OF STATISTICAL PHYSICS,29.
MLA Li, Songzi,et al."On the Law of Large Numbers for the Empirical Measure Process of Generalized Dyson Brownian Motion".JOURNAL OF STATISTICAL PHYSICS (2020):29.
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