Large Deviation Principle for McKean-Vlasov Quasilinear Stochastic Evolution Equations

被引:17
作者
Hong, Wei [1 ]
Li, Shihu [2 ]
Liu, Wei [2 ,3 ]
机构
[1] Tianjin Univ, Ctr Appl Math, Tianjin 300072, Peoples R China
[2] Jiangsu Normal Univ, Sch Math & Stat, Xuzhou 221116, Jiangsu, Peoples R China
[3] Jiangsu Normal Univ, Math Sci Res Inst, Xuzhou 221116, Jiangsu, Peoples R China
关键词
McKean-Vlasov SPDE; Large deviation principle; Weak convergence method; Porous media equation; p-Laplace equation; DISTRIBUTION DEPENDENT SDES; FOKKER-PLANCK EQUATIONS; DIFFERENTIAL-EQUATIONS; DRIVEN;
D O I
10.1007/s00245-021-09796-2
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper is devoted to investigating the Freidlin-Wentzell's large deviation principle for a class of McKean-Vlasov quasilinear SPDEs perturbed by small multiplicative noise. We adopt the variational framework and the modified weak convergence criteria to prove the Laplace principle for McKean-Vlasov type SPDEs, which is equivalent to the large deviation principle. Moreover, we do not assume any compactness condition of embedding in the Gelfand triple to handle both the cases of bounded and unbounded domains in applications. The main results can be applied to various McKean-Vlasov type SPDEs such as distribution dependent stochastic porous media type equations and stochastic p-Laplace type equations.
引用
收藏
页码:S1119 / S1147
页数:29
相关论文
共 48 条
  • [1] [Anonymous], 1993, Large deviations techniques and applications
  • [2] [Anonymous], 1997, A Weak Convergence Approach to the Theory of Large Deviations
  • [3] [Anonymous], 1984, FUNDAMENTAL PRINCIPL
  • [4] Azencott R., 1978, LECT NOTES MATH, V774, P1
  • [5] Solutions for nonlinear Fokker-Planck equations with measures as initial data and McKean-Vlasov equations
    Barbu, Viorel
    Roeckner, Michael
    [J]. JOURNAL OF FUNCTIONAL ANALYSIS, 2021, 280 (07)
  • [6] FROM NONLINEAR FOKKER-PLANCK EQUATIONS TO SOLUTIONS OF DISTRIBUTION DEPENDENT SDE
    Barbu, Viorel
    Roeckner, Michael
    [J]. ANNALS OF PROBABILITY, 2020, 48 (04) : 1902 - 1920
  • [7] PROBABILISTIC REPRESENTATION FOR SOLUTIONS TO NONLINEAR FOKKER-PLANCK EQUATIONS
    Barbu, Viorel
    Roeckner, Michael
    [J]. SIAM JOURNAL ON MATHEMATICAL ANALYSIS, 2018, 50 (04) : 4246 - 4260
  • [8] Large deviation principle and inviscid shell models
    Bessaih, Hakima
    Millet, Annie
    [J]. ELECTRONIC JOURNAL OF PROBABILITY, 2009, 14 : 2551 - 2579
  • [9] Large Deviations and Transitions Between Equilibria for Stochastic Landau-Lifshitz-Gilbert Equation
    Brzezniak, Zdzislaw
    Goldys, Ben
    Jegaraj, Terence
    [J]. ARCHIVE FOR RATIONAL MECHANICS AND ANALYSIS, 2017, 226 (02) : 497 - 558
  • [10] MEAN-FIELD STOCHASTIC DIFFERENTIAL EQUATIONS AND ASSOCIATED PDES
    Buckdahn, Rainer
    Li, Juan
    Peng, Shige
    Rainer, Catherine
    [J]. ANNALS OF PROBABILITY, 2017, 45 (02) : 824 - 878