In this paper we study singular kinetic equations in $\mR^{2d}$ by paracontrolled distribution method introduced in \cite{GIP15}. We first develop paracontrolled calculus  in the kinetic setting, and then use it to establish the global well-posedness for  linear  singular kinetic equations under the assumptions that the products of singular terms are well-defined. We also demonstrate how the required products can be defined in the case that singular term is a Gaussian random field by probabilistic calculation.  Interestingly, although the terms in the zeroth order Wiener chaos of regularization approximation are not zero, they converge in suitable weighted Besov spaces and thus no renormalization is required.  As applications  the global well-posedness for a nonlinear kinetic equation with singular kernels is obtained by the entropy method. Moreover, we also solve the martingale problem for nonlinear kinetic distribution dependent stochastic differential equations with singular drifts. (This is a joint work with Zimo Hao, Rongchan Zhu and Xiangchan Zhu)  

10-15海报.pdf