Distribution dependent stochastic differential equations

Due to their intrinsic link with nonlinear Fokker-Planck equations and many other applications, distribution dependent stochastic differential equations (DDSDEs) have been intensively investigated. In this paper, we summarize some recent progresses in the study of DDSDEs, which include the correspon...

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Published inFrontiers of Mathematics Vol. 16; no. 2; pp. 257 - 301
Main Authors HUANG, Xing, REN, Panpan, WANG, Feng-Yu
Format Journal Article
LanguageEnglish
Published Beijing Higher Education Press 01.04.2021
Springer Nature B.V
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ISSN1673-3452
2731-8648
1673-3576
2731-8656
DOI10.1007/s11464-021-0920-y

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Abstract Due to their intrinsic link with nonlinear Fokker-Planck equations and many other applications, distribution dependent stochastic differential equations (DDSDEs) have been intensively investigated. In this paper, we summarize some recent progresses in the study of DDSDEs, which include the correspondence of weak solutions and nonlinear Fokker-Planck equations, the well-posedness, regularity estimates, exponential ergodicity, long time large deviations, and comparison theorems.
AbstractList Due to their intrinsic link with nonlinear Fokker-Planck equations and many other applications, distribution dependent stochastic differential equations (DDSDEs) have been intensively investigated. In this paper, we summarize some recent progresses in the study of DDSDEs, which include the correspondence of weak solutions and nonlinear Fokker-Planck equations, the well-posedness, regularity estimates, exponential ergodicity, long time large deviations, and comparison theorems.
Author REN, Panpan
WANG, Feng-Yu
HUANG, Xing
Author_xml – sequence: 1
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  surname: HUANG
  fullname: HUANG, Xing
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  surname: REN
  fullname: REN, Panpan
  organization: Department of Mathematics, City University of Hong Kong, Hong Kong, China
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  givenname: Feng-Yu
  surname: WANG
  fullname: WANG, Feng-Yu
  email: wangfy@tju.edu.cn
  organization: Center for Applied Mathematics, Tianjin University, Tianjin 300072, China
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Issue 2
Keywords Distribution dependent stochastic differential equation (DDSDE)
nonlinear Fokker-Planck equation
60B05
Bismut formula
60B10
Wasserstein distance
gradient estimate
Language English
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Notes Distribution dependent stochastic differential equation (DDSDE)
nonlinear Fokker-Planck equation
Document received on :2020-12-25
Document accepted on :2021-03-01
Bismut formula
Wasserstein distance
gradient estimate
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Snippet Due to their intrinsic link with nonlinear Fokker-Planck equations and many other applications, distribution dependent stochastic differential equations...
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SubjectTerms Bismut formula
Differential equations
Distribution dependent stochastic differential equation (DDSDE)
Fokker-Planck equation
gradient estimate
Mathematical analysis
Mathematics
Mathematics and Statistics
nonlinear Fokker-Planck equation
Survey Article
Wasserstein distance
Title Distribution dependent stochastic differential equations
URI https://journal.hep.com.cn/fmc/EN/10.1007/s11464-021-0920-y
https://link.springer.com/article/10.1007/s11464-021-0920-y
https://www.proquest.com/docview/2522682481
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