A discretized version of Krylov's estimate and its applications

In this paper we prove a discretized version of Krylov’s estimate for discretized It^o’s processes. As applications, we study the weak and strong convergences for Euler’s approximation of mean-field SDEs with measurable discontinuous and linear growth coefficients. Moreover, we also show the propagation of chaos for Euler’s approximation of mean-field SDEs.