Probabilistic Approach to the Stochastic Burgers Equation

被引:5
作者
Gubinelli, Massimiliano [1 ,2 ]
Perkowski, Nicolas [3 ]
机构
[1] Univ Bonn, Hausdorff Ctr Math, Bonn, Germany
[2] Univ Bonn, Inst Appl Math, Bonn, Germany
[3] Humboldt Univ, Inst Math, Berlin, Germany
来源
STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS AND RELATED FIELDS: IN HONOR OF MICHAEL ROCKNER, SPDERF | 2018年 / 229卷
关键词
Stochastic Burgers equation; Martingale problem; Diffusions with distributional drift; REGULARIZATION; NOISE; LIMIT;
D O I
10.1007/978-3-319-74929-7_35
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
We review the formulation of the stochastic Burgers equation as a martingale problem. One way of understanding the difficulty in making sense of the equation is to note that it is a stochastic PDE with distributional drift, so we first review how to construct finite-dimensional diffusions with distributional drift. We then present the uniqueness result for the stationary martingale problem of (M. Gubinelli and N. Perkowski, Energy solutions of KPZ are unique. 2015, [18]), but we mainly emphasize the heuristic derivation and also we include a (very simple) extension of (M. Gubinelli and N. Perkowski, Energy solutions of KPZ are unique. 2015, [18]) to a non-stationary regime.
引用
收藏
页码:515 / 527
页数:13
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