A Criterion for Tightness for a Sequence of Martingales

Abstract

An improved result is presented, showing that if the finite-dimensional distributions of a sequence of martingales converge, and if for each time $t$ the variables are uniformly integrable, then weak convergence follows (in either $C$ or $D$) provided the limiting process satisfies a certain condition; this condition is satisfied by the Wiener process.