In the present paper we study a special kind of stochastic processes. The usefulness of the result is illustrated by their applications to the straightforward convergence analysis of several schemes. We consider a filtrated probability spaceand an adapted stochastic processfromFurther letbe a stochastic matrix which is adapted to the filtration. The processsatisfies the following conditionA special case of these processes is a classical submartingale