SOLVING MCKEAN-VLASOV SDES VIA RELATIVE ENTROPY

被引:0
作者
Han, Yi [1 ]
机构
[1] Univ Cambridge, Dept Pure Math & Math Stat, Cambridge, England
基金
英国工程与自然科学研究理事会;
关键词
McKean-Vlasov equation; relative entropy; Stochastic heat equation; fractional Brownian motion; DISTRIBUTION DEPENDENT SDES; MEAN-FIELD LIMIT; PROBABILISTIC APPROACH; EQUATIONS; REGULARIZATION; PROPAGATION; CHAOS; ROUGH; MODEL;
D O I
10.1214/24-AAP2129
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this paper we explore the merit of relative entropy in proving weak well-posedness of McKean-Vlasov SDEs and SPDEs, extending the technique introduced in Lacker (Probab. Math. Phys. 4 (2023) 377-432). In the SDE setting, we prove weak existence and uniqueness when the interaction is path dependent and only assumed to have linear growth. Meanwhile, we recover and extend the current results when the interaction has Krylov's L-t(q)-L-x(p) type singularity for (d)/(p)+(2)/(q)<1, where d is the dimension of space. We connect the aforementioned two cases which are traditionally disparate, and form a solution theory that is sufficiently robust to allow perturbations of sublinear growth at the presence of singularity, giving rise to the well-posedness of a new family of McKean-Vlasov SDEs. Our strategy naturally extends to the cases of a fractional Brownian driving noise BHBH for all H is an element of(0,1)H is an element of(0,1), obtaining new results in each separate case H is an element of(0,(1/)(2)) and H is an element of((1/)(2),1). In the SPDE setting, we construct McKean-Vlasov-type SPDEs with bounded measurable coefficients from the prototype of stochastic heat equation in spatial dimension one, and we do the same construction for the stochastic wave equation and a SPDE with white noise acting only on the boundary.
引用
收藏
页码:858 / 897
页数:40
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